Replication Data for: Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive? (doi:10.7910/DVN/28640)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

(external link)

Document Description

Citation

Title:

Replication Data for: Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive?

Identification Number:

doi:10.7910/DVN/28640

Distributor:

Harvard Dataverse

Date of Distribution:

2015-01-19

Version:

1

Bibliographic Citation:

Bishin, Benjamin G.; Hayes, Thomas J.; Incantalupo, Matthew; Smith, Charles Anthony, 2015, "Replication Data for: Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive?", https://doi.org/10.7910/DVN/28640, Harvard Dataverse, V1, UNF:5:NY8K3J/y+VT4Z0Bhtd2JWA== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive?

Identification Number:

doi:10.7910/DVN/28640

Authoring Entity:

Bishin, Benjamin G. (University of California, Riverside)

Hayes, Thomas J. (University of Connecticut)

Incantalupo, Matthew (Princeton University)

Smith, Charles Anthony (University of California, Irvine)

Producer:

Thomas Hayes

Distributor:

Harvard Dataverse

Access Authority:

Thomas Hayes

Depositor:

Thomas Hayes

Date of Deposit:

2015-01-10

Holdings Information:

https://doi.org/10.7910/DVN/28640

Study Scope

Keywords:

Social Sciences, Backlash, Public opinion, LGBT people

Abstract:

Popular sovereignty creates tension when it conflicts with other democratic values. One long recognized consequence of this tension is public opinion backlash, which occurs when individuals recoil in response to some salient event. For decades, scholars have suggested that opinion backlash impedes policy gains by marginalized groups. Public opinion research, however, suggests that widespread attitude change that backlash proponents theorize is likely to be rare. Examining backlash against gays and lesbians using a series of on-line and natural experiments about marriage equality, and large sample survey data, we find no evidence of opinion backlash among the general public, by members of groups predisposed to dislike gays and lesbians, or those with psychological traits that may pre-dispose them to lash back. The important implication is that groups pursuing rights should not be dissuaded by threats of backlash that will set their movement back in the court of public opinion.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Bishin, Benjamin G., Thomas J. Hayes, Matthew B. Incantalupo, and Charles Anthony Smith. 2016. "Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive?" <i>American Journal of Political Science</i> 60 (3): 625-648.

Identification Number:

10.1111/ajps.12181

Bibliographic Citation:

Bishin, Benjamin G., Thomas J. Hayes, Matthew B. Incantalupo, and Charles Anthony Smith. 2016. "Opinion Backlash and Public Attitudes: Are Political Advances in Gay Rights Counterproductive?" <i>American Journal of Political Science</i> 60 (3): 625-648.

File Description--f2529497

File: backlash_experiment.tab

  • Number of cases: 2402

  • No. of variables per record: 383

  • Type of File: text/tab-separated-values

Notes:

UNF:5:iJ1In43fYc4jjlCSPTqYkw==

Experiment data file

File Description--f2529474

File: Bush.FMA.Announce.data.2.24.04.tab

  • Number of cases: 2913

  • No. of variables per record: 1194

  • Type of File: text/tab-separated-values

Notes:

UNF:5:eKj2mg/9t5aASv9Bcerzyg==

Observational Results. Data for Tables 2,3, Figure 6, and Appendices G and I

File Description--f2529479

File: CA.S.C.Data.ruling.16.days.tab

  • Number of cases: 2525

  • No. of variables per record: 1193

  • Type of File: text/tab-separated-values

Notes:

UNF:5:sAN11Jzzq2ZUX99ZilqQ7A==

Observational Results. Data for Tables 2,3, Figure 6, and Appendices G and I

File Description--f2529481

File: figure 1.tab

  • Number of cases: 8

  • No. of variables per record: 10

  • Type of File: text/tab-separated-values

Notes:

UNF:5:ZD06OpEjHdsdKpUrBEoEWg==

data file for figure 1

File Description--f2529477

File: figure 2.tab

  • Number of cases: 6

  • No. of variables per record: 19

  • Type of File: text/tab-separated-values

Notes:

UNF:5:ZqImou2lH+J65o9QO7oBpA==

data file for figure 2

File Description--f2529480

File: figure 3.tab

  • Number of cases: 6

  • No. of variables per record: 19

  • Type of File: text/tab-separated-values

Notes:

UNF:5:zAbd+nRkAfHZH0xYrPxFAQ==

data file for figure 3

File Description--f2529478

File: figure 4.tab

  • Number of cases: 6

  • No. of variables per record: 19

  • Type of File: text/tab-separated-values

Notes:

UNF:5:rSzprf8smbRz8byX8EvyVg==

data file for figure 4

File Description--f2529473

File: figure 5.tab

  • Number of cases: 8

  • No. of variables per record: 10

  • Type of File: text/tab-separated-values

Notes:

UNF:5:H650919Rwofonk9AxGhjcQ==

data file for figure 5

File Description--f2529475

File: MA.S.C.Data.ruling.16.days.tab

  • Number of cases: 2750

  • No. of variables per record: 1190

  • Type of File: text/tab-separated-values

Notes:

UNF:5:THGPS996X9Aio1+NSAa82w==

Observational Results. Data for Tables 2,3, Figure 6, and Appendices G and I

File Description--f2529476

File: weekly.gay.attitude.data.tab

  • Number of cases: 49

  • No. of variables per record: 5

  • Type of File: text/tab-separated-values

Notes:

UNF:5:QTfWnEXeNkpjyj96F1VQmA==

Observational Results. Data for Figure 6

Variable Description

List of Variables:

  • HITId - HITId
  • HITTypeId - HITTypeId
  • Title - Title
  • Description - Description
  • Keywords - Keywords
  • Reward - Reward
  • CreationTime - CreationTime
  • MaxAssignments - MaxAssignments
  • RequesterAnnotation - RequesterAnnotation
  • AssignmentDurationInSeconds - AssignmentDurationInSeconds
  • AutoApprovalDelayInSeconds - AutoApprovalDelayInSeconds
  • Expiration - Expiration
  • NumberOfSimilarHITs - NumberOfSimilarHITs
  • LifetimeInSeconds - LifetimeInSeconds
  • AssignmentId - AssignmentId
  • WorkerId - WorkerId
  • AssignmentStatus - AssignmentStatus
  • AcceptTime - AcceptTime
  • SubmitTime - SubmitTime
  • AutoApprovalTime - AutoApprovalTime
  • ApprovalTime - ApprovalTime
  • RejectionTime - RejectionTime
  • RequesterFeedback - RequesterFeedback
  • WorkTimeInSeconds - WorkTimeInSeconds
  • LifetimeApprovalRate - LifetimeApprovalRate
  • Last30DaysApprovalRate - Last30DaysApprovalRate
  • Last7DaysApprovalRate - Last7DaysApprovalRate
  • AnswerQ2age - Answer.Q2age
  • Approve - Approve
  • Reject - Reject
  • repeater
  • V1
  • V2 - V2
  • V3 - V3
  • V4 - V4
  • V5 - V5
  • ver - ver
  • ssminform - ssminform
  • ssmconsent - ssmconsent
  • Q96_1 - Q96_1
  • Q96_2 - Q96_2
  • Q96_3 - Q96_3
  • Q96_4 - Q96_4
  • imminform - imminform
  • immconsent - immconsent
  • Q236_1 - Q236_1
  • Q236_2 - Q236_2
  • Q236_3 - Q236_3
  • Q236_4 - Q236_4
  • metainfo_1_TEXT - metainfo_1_TEXT
  • metainfo_2_TEXT - metainfo_2_TEXT
  • metainfo_3_TEXT - metainfo_3_TEXT
  • metainfo_4_TEXT - metainfo_4_TEXT
  • metainfo_5_TEXT - metainfo_5_TEXT
  • metainfo_6_TEXT - metainfo_6_TEXT
  • metainfo_7_TEXT - metainfo_7_TEXT
  • regvote - regvote
  • state - state
  • female - female
  • pkhouse - pkhouse
  • pkconst - pkconst
  • pkbiden - pkbiden
  • pkparty - pkparty
  • pkveto - pkveto
  • follow - follow
  • news - news
  • SDO_1 - SDO_1
  • SDO_2 - SDO_2
  • SDO_4 - SDO_4
  • SDO_5 - SDO_5
  • SDO_6 - SDO_6
  • SDO_7 - SDO_7
  • coerce_1 - coerce_1
  • coerce_2 - coerce_2
  • coerce_3 - coerce_3
  • coerce_4 - coerce_4
  • coerce_5 - coerce_5
  • coerce_6 - coerce_6
  • coerce_7 - coerce_7
  • SWB - SWB
  • SWBa - SWBa
  • SWBb - SWBb
  • SWBc - SWBc
  • SWBd - SWBd
  • relserv - relserv
  • bornagain - bornagain
  • relid - relid
  • pray - pray
  • ssmthreat1_1 - ssmthreat1_1
  • ssmthreat1_2 - ssmthreat1_2
  • ssmthreat1_3 - ssmthreat1_3
  • ssmthreat1_4 - ssmthreat1_4
  • ssmthreat1_5 - ssmthreat1_5
  • ssmthreat1_6 - ssmthreat1_6
  • ssmthreat1_7 - ssmthreat1_7
  • ssmthreat1_8 - ssmthreat1_8
  • ssmthreat1_9 - ssmthreat1_9
  • ssmthreat1_10 - ssmthreat1_10
  • ssmthreat2_2 - ssmthreat2_2
  • ssmthreat2_3 - ssmthreat2_3
  • ssmstype_1 - ssmstype_1
  • ssmstype_2 - ssmstype_2
  • ssmstype_3 - ssmstype_3
  • ssmstype_4 - ssmstype_4
  • ssmstype_5 - ssmstype_5
  • ssmstype_6 - ssmstype_6
  • ssmstype_7 - ssmstype_7
  • ssmstype_8 - ssmstype_8
  • ssmstype_9 - ssmstype_9
  • immthreat1_1 - immthreat1_1
  • immthreat1_2 - immthreat1_2
  • immthreat1_3 - immthreat1_3
  • immthreat1_4 - immthreat1_4
  • immthreat1_5 - immthreat1_5
  • immthreat1_6 - immthreat1_6
  • immthreat1_7 - immthreat1_7
  • immthreat1_8 - immthreat1_8
  • immthreat1_9 - immthreat1_9
  • immthreat1_10 - immthreat1_10
  • immthreat2_2 - immthreat2_2
  • immthreat2_3 - immthreat2_3
  • takejobs - takejobs
  • immstype_1 - immstype_1
  • immstype_2 - immstype_2
  • immstype_3 - immstype_3
  • immstype_4 - immstype_4
  • immstype_5 - immstype_5
  • immstype_6 - immstype_6
  • immstype_7 - immstype_7
  • immstype_8 - immstype_8
  • immstype_9 - immstype_9
  • stroop - stroop
  • time2_1 - time2_1
  • time2_2 - time2_2
  • time2_3 - time2_3
  • time2_4 - time2_4
  • tgun - tgun
  • vigtime_1 - vigtime_1
  • vigtime_2 - vigtime_2
  • vigtime_3 - vigtime_3
  • vigtime_4 - vigtime_4
  • gaymar - gaymar
  • Q48_1 - Q48_1
  • Q48_2 - Q48_2
  • Q48_3 - Q48_3
  • Q48_4 - Q48_4
  • ssmimport - ssmimport
  • soc_1 - soc_1
  • soc_2 - soc_2
  • soc_3 - soc_3
  • soc_4 - soc_4
  • soc_5 - soc_5
  • soc_6 - soc_6
  • Q59_1 - Q59_1
  • Q59_2 - Q59_2
  • Q59_3 - Q59_3
  • Q59_4 - Q59_4
  • therm_evangel - therm1_22_1_TEXT
  • therm_gays - therm1_23_1_TEXT
  • therm_gunown - therm1_24_1_TEXT
  • therm_unemp - therm1_25_1_TEXT
  • therm_cath - therm1_27_1_TEXT
  • therm_cons - therm1_28_1_TEXT
  • therm_dems - therm1_29_1_TEXT
  • Q58_1 - Q58_1
  • Q58_2 - Q58_2
  • Q58_3 - Q58_3
  • Q58_4 - Q58_4
  • therm_prot - therm2_21_1_TEXT
  • therm_libs - therm2_22_1_TEXT
  • therm_repubs - therm2_23_1_TEXT
  • therm_mil - therm2_24_1_TEXT
  • therm_blacks - therm2_25_1_TEXT
  • therm_gayorgs - therm2_26_1_TEXT
  • therm_immigrants - therm2_27_1_TEXT
  • Q57_1 - Q57_1
  • Q57_2 - Q57_2
  • Q57_3 - Q57_3
  • Q57_4 - Q57_4
  • gayreact - gayreact
  • Q61_1 - Q61_1
  • Q61_2 - Q61_2
  • Q61_3 - Q61_3
  • Q61_4 - Q61_4
  • immpath - immpath
  • Q88_1 - Q88_1
  • Q88_2 - Q88_2
  • Q88_3 - Q88_3
  • Q88_4 - Q88_4
  • immimport - immimport
  • FD - soc_1
  • FE - soc_2
  • FF - soc_3
  • FG - soc_4
  • FH - soc_5
  • FI - soc_6
  • Q94_1 - Q94_1
  • Q94_2 - Q94_2
  • Q94_3 - Q94_3
  • Q94_4 - Q94_4
  • FN - therm1_22_1_TEXT
  • FO - therm1_23_1_TEXT
  • FP - therm1_24_1_TEXT
  • FQ - therm1_25_1_TEXT
  • FR - therm1_27_1_TEXT
  • FS - therm1_28_1_TEXT
  • FT - therm1_29_1_TEXT
  • Q98_1 - Q98_1
  • Q98_2 - Q98_2
  • Q98_3 - Q98_3
  • Q98_4 - Q98_4
  • immproof - immproof
  • immreq - immreq
  • GA - therm2_21_1_TEXT
  • GB - therm2_22_1_TEXT
  • GC - therm2_23_1_TEXT
  • GD - therm2_24_1_TEXT
  • GE - therm2_25_1_TEXT
  • GF - therm2_26_1_TEXT
  • GG - therm2_27_1_TEXT
  • Q106_1 - Q106_1
  • Q106_2 - Q106_2
  • Q106_3 - Q106_3
  • Q106_4 - Q106_4
  • immreact - immreact
  • Q110_1 - Q110_1
  • Q110_2 - Q110_2
  • Q110_3 - Q110_3
  • Q110_4 - Q110_4
  • education - education
  • empstatus - empstatus
  • marstatus - marstatus
  • age - age
  • race_1 - race_1
  • race_2 - race_2
  • race_3 - race_3
  • race_4 - race_4
  • race_5 - race_5
  • race_6 - race_6
  • race_7 - race_7
  • race_7_TEXT - race_7_TEXT
  • income - income
  • gayrel - gayrel
  • gayfrnd - gayfrnd
  • manygay - manygay
  • gayles - gayles
  • immrel - immrel
  • immfrnd - immfrnd
  • manyimm - manyimm
  • immstat - immstat
  • partyid - partyid
  • partyid_TEXT - partyid_TEXT
  • partystren - partystren
  • partylean - partylean
  • ideologya - ideologya
  • ideologyb - ideologyb
  • manip1 - manip1
  • manip2 - manip2
  • openend - openend
  • Q103_1 - Q103_1
  • Q103_2 - Q103_2
  • Q103_3 - Q103_3
  • Q103_4 - Q103_4
  • Q102 - Q102
  • merge
  • inform - inform
  • consent - consent
  • time_cons_1 - time_cons_1
  • time_cons_2 - time_cons_2
  • time_cons_3 - time_cons_3
  • time_cons_4 - time_cons_4
  • threat1_1 - threat1_1
  • threat1_2 - threat1_2
  • threat1_3 - threat1_3
  • threat1_4 - threat1_4
  • threat1_5 - threat1_5
  • threat1_6 - threat1_6
  • threat1_7 - threat1_7
  • threat1_8 - threat1_8
  • threat1_9 - threat1_9
  • threat1_10 - threat1_10
  • threat2_2 - threat2_2
  • threat2_3 - threat2_3
  • stype_1 - stype_1
  • stype_2 - stype_2
  • stype_3 - stype_3
  • stype_4 - stype_4
  • stype_5 - stype_5
  • stype_6 - stype_6
  • stype_7 - stype_7
  • stype_8 - stype_8
  • stype_9 - stype_9
  • tcourt - tcourt
  • tleg - tleg
  • tpride - tpride
  • tref - tref
  • importance - importance
  • post_SCOTUS - post_SCOTUS
  • treat - treat
  • court_c - leg_c
  • leg_c
  • gun_c
  • parade_c - parade_c
  • ref_c - ref_c
  • refvgun - refvgun
  • courtvgun - courtvgun
  • legvgun - legvgun
  • paradevgun - paradevgun
  • gayvcontrol - gayvcontrol
  • courtvleg - courtvref
  • courtvref
  • courtlegvparade - courtlegvparade
  • regvote1 - regvote1
  • know1
  • know2
  • know3
  • know4
  • know5
  • knowledge
  • unsoph - unsoph
  • ideo7
  • ideo3
  • party7
  • moderates - moderates
  • female1 - female1
  • bornagain1 - bornagain1
  • threat1 - threat1
  • threat2 - threat2
  • threat3 - threat3
  • threat4 - threat4
  • threat5 - threat5
  • symbolic_threat
  • high_symbolic - high_symbolic
  • threat6 - threat6
  • threat7 - threat7
  • threat8 - threat8
  • threat9 - threat8
  • threat10 - threat10
  • group_conflict
  • high_conflict - high_conflict
  • threat11 - threat11
  • threat12 - threat12
  • inter_anxiety
  • high_anxiety - high_anxiety
  • threat_composite
  • high_threat - high_threat
  • stype1 - stype8
  • stype2 - stype2
  • stype3 - stype3
  • stype4 - stype4
  • stype5 - stype5
  • stype6 - stype6
  • stype7
  • stype8
  • stype9 - stype9
  • stype_threat
  • stype_high - stype_high
  • sdo1 - sdo1
  • sdo2 - sdo2
  • sdo4 - sdo4
  • sdo5 - sdo1
  • sdo6 - sdo6
  • sdo7 - sdo7
  • sdo_composite
  • SDO_high - SDO_high
  • factor1 - Scores for factor 1
  • factor2 - Scores for factor 2
  • high_ITT
  • evangel1 - evangel1
  • gaymar1 - gaymar1
  • importance1 - importance1
  • gayreact1 - gayreact1
  • gayrel1
  • gayfrnd1
  • manygay1
  • gayles1
  • educ
  • manip_check
  • unsoph1 - unsoph1
  • itt_scale - Integrated Threat Theory
  • sdo_scale - Social Dominance Orientation
  • sdo_bin
  • itt_bin
  • cINT - Interviewing Component
  • cKEY - Respondent ID
  • cHKEY - Household ID
  • cAC - Area Code
  • cST - State (Two-Letter Abbreviation)
  • cSTNUM - State (Numeric Code)
  • cDATE - Interview Date
  • cTIME - Interview Start Time
  • cXA - Random Assignment to Question Module A1 or A2
  • cXB - Random Assignment to Question Module B1, B2, or B3
  • cXC - Random Assignment to Question Module C1, C2, C3, or C4
  • cAA01 - Bush Favorability
  • cAA02 - Bush Job Approval
  • cAA03 - Bush Favorability as Person
  • cAA04 - Bush Cares About People Like Me
  • cAA05 - Bush Inspiring
  • cAA06 - Bush Strong Leader
  • cAA07 - Bush Trustworthy
  • cAA08 - Bush Shares My Values
  • cAA09 - Bush Knowledgeable
  • cAA10 - Bush Reckless
  • cAA11 - Bush Steady
  • cAA12 - Bush Says One Thing, Does Another
  • cAA13 - Bush Has Right Experience
  • cAA14 - Bush Easy to Like
  • cAA15 - Bush Will Make Tough Decisions
  • cAA16 - Bush Has Clear Vision
  • cAA17 - Bush Changes His Mind
  • cAA18 - Bush Too Liberal
  • cAA19 - Bush Too Conservative
  • cAA20 - Bush Out of Touch
  • cAA21 - Bush Stubborn
  • cAA22 - Bush Arrogant
  • cAA23 - Bush Optimistic
  • cAA24 - Bush Effective
  • cAA25 - Bush Decisive
  • cAA26 - Bush Flip-Flops
  • cAA27 - Bush Honest
  • cAA28 - Bush Not Willing to Admit Mistakes
  • cAA29 - Bush Kept Promises
  • cAA30 - Bush Conservative or Liberal
  • cAA31 - Bush Makes Me Angry
  • cAA32 - Bush Makes Me Uneasy
  • cAA33 - Bush Makes Me Afraid
  • cAB01 - Kerry Favorability
  • cAB02 - Kerry Cares About People Like Me
  • cAB03 - Kerry Inspiring
  • cAB04 - Kerry Strong Leader
  • cAB05 - Kerry Trustworthy
  • cAB06 - Kerry Shares My Values
  • cAB07 - Kerry Knowledgeable
  • cAB08 - Kerry Reckless
  • cAB09 - Kerry Steady
  • cAB10 - Kerry Says One Thing, Does Another
  • cAB11 - Kerry Has Right Experience
  • cAB12 - Kerry Easy to Like
  • cAB13 - Kerry Will Make Tough Decisions
  • cAB14 - Kerry Has Clear Vision
  • cAB15 - Kerry Changes His Mind
  • cAB16 - Kerry Too Liberal
  • cAB17 - Kerry Too Conservative
  • cAB18 - Kerry Out of Touch
  • cAB19 - Kerry Stubborn
  • cAB20 - Kerry Arrogant
  • cAB21 - Kerry Optimistic
  • cAB22 - Kerry Effective
  • cAB23 - Kerry Decisive
  • cAB24 - Kerry Flip-Flops
  • cAB25 - Kerry Honest
  • cAB26 - Kerry Not Willing to Admit Mistakes
  • cAB27 - Kerry Conservative or Liberal
  • cAB28 - Kerry Makes Me Angry
  • cAB29 - Kerry Makes Me Uneasy
  • cAB30 - Kerry Makes Me Afraid
  • cAC01 - Cheney Favorability
  • cAC02 - Know Cheney Is Vice Presidential Candidate
  • cAC03 - Cheney Has Right Experience to Be President
  • cAC04 - Edwards Favorability
  • cAC05 - Know Edwards Is Vice Presidential Candidate
  • cAC06 - Edwards Cares About People Like Me
  • cAC07 - Edwards Inspiring
  • cAC08 - Edwards Strong Leader
  • cAC09 - Edwards Trustworthy
  • cAC10 - Edwards Shares My Values
  • cAC11 - Edwards Knowledgeable
  • cAC12 - Edwards Reckless
  • cAC13 - Edwards Has Right Experience to Be President
  • cAC14 - Edwards Conservative or Liberal
  • cAC15 - Nader Favorability
  • cAC16 - Nader Conservative or Liberal
  • cAC17 - Clark Favorability
  • cAC18 - Clark Cares About People Like Me
  • cAC19 - Clark Inspiring
  • cAC20 - Clark Strong Leader
  • cAC21 - Clark Trustworthy
  • cAC22 - Clark Shares My Values
  • cAC23 - Clark Knowledgeable
  • cAC24 - Clark Reckless
  • cAC25 - Clark Conservative or Liberal
  • cAC26 - Dean Favorability
  • cAC27 - Dean Cares About People Like Me
  • cAC28 - Dean Inspiring
  • cAC29 - Dean Strong Leader
  • cAC30 - Dean Trustworthy
  • cAC31 - Dean Shares My Values
  • cAC32 - Dean Knowledgeable
  • cAC33 - Dean Reckless
  • cAC34 - Dean Conservative or Liberal
  • cAC35 - Gephardt Favorability
  • cAC36 - Gephardt Cares About People Like Me
  • cAC37 - Gephardt Inspiring
  • cAC38 - Gephardt Strong Leader
  • cAC39 - Gephardt Trustworthy
  • cAC40 - Gephardt Shares My Values
  • cAC41 - Gephardt Knowledgeable
  • cAC42 - Gephardt Reckless
  • cAC43 - Gephardt Conservative or Liberal
  • cAC44 - Lieberman Favorability
  • cAC45 - Lieberman Cares About People Like Me
  • cAC46 - Lieberman Inspiring
  • cAC47 - Lieberman Strong Leader
  • cAC48 - Lieberman Trustworthy
  • cAC49 - Lieberman Shares My Values
  • cAC50 - Lieberman Knowledgeable
  • cAC51 - Lieberman Reckless
  • cAC52 - Lieberman Conservative or Liberal
  • cAC53 - More Likely to Vote for Moderate or Liberal Democratic Candidate
  • cAC54 - More Likely to Vote for Democratic Candidate With Washington Experience
  • cAC55_1 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2
  • cAC55_2 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2
  • cAC56_1 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2
  • cAC56_2 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2
  • cAC57_1 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2
  • cAC57_2 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2
  • cAC58 - Random Assignment to Democratic Candidates (2/11/04–2/17/04)
  • cAD01 - Ashcroft Favorability
  • cAD02 - Laura Bush Favorability
  • cAD03 - Bill Clinton Favorability
  • cAD04 - Hillary Clinton Favorability
  • cAD05 - Giuliani Favorability
  • cAD06 - Gore Favorability
  • cAD07 - Heinz Kerry Favorability
  • cAD08 - Limbaugh Favorability
  • cAD09 - McCain Favorability
  • cAD10 - Rice Favorability
  • cAD11 - Schwarzenegger Favorability
  • cAD12 - Howard Stern Favorability
  • cAD13_1 - What Jane Fonda Is Known For, 1 of 5
  • cAD13_2 - What Jane Fonda Is Known For, 2 of 5
  • cAD13_3 - What Jane Fonda Is Known For, 3 of 5
  • cAD13_4 - What Jane Fonda Is Known For, 4 of 5
  • cAD13_5 - What Jane Fonda Is Known For, 5 of 5
  • cAD13_ - What Jane Fonda Is Known For, Verbatim
  • cAD14_1 - What Herbert Hoover Is Known For, 1 of 5
  • cAD14_2 - What Herbert Hoover Is Known For, 2 of 5
  • cAD14_3 - What Herbert Hoover Is Known For, 3 of 5
  • cAD14_4 - What Herbert Hoover Is Known For, 4 of 5
  • cAD14_5 - What Herbert Hoover Is Known For, 5 of 5
  • cAD14_ - What Herbert Hoover Is Known For, Verbatim
  • cAD15 - Reagan Accomplishments in Domestic Policy
  • cAD16 - Reagan Accomplishments in Foreign Policy
  • cAD17 - Bush or Kerry More Like Reagan as Politician
  • cAD18 - Bush or Kerry More Like Reagan as Leader
  • cAD19 - Bush or Kerry More Like Reagan as Person
  • cAE01 - Congressional Republicans Job Approval
  • cAE02 - Congressional Democrats Job Approval
  • cAE03 - Labor Unions Favorability
  • cAE04 - Corporations Favorability
  • cAE05 - Feminist Groups Favorability
  • cAE06 - Gay Groups Favorability
  • cAE07 - Environmental Groups Favorability
  • cAE08 - AARP Favorability
  • cAE09 - NRA Favorability
  • cAE10 - Christian Groups Favorability
  • cAE11 - Protestants Favorability
  • cAE12 - Catholics Favorability
  • cAE13 - Jewish People Favorability (Wording #1)
  • cAE14 - Jewish People Favorability (Wording #2)
  • cAE15 - Muslims Favorability
  • cAX01_01 - Random Question Order for cAA01
  • cAX01_02 - Random Question Order for cAB01
  • cAX01_03 - Random Question Order for cAC01
  • cAX01_04 - Random Question Order for cAC04
  • cAX01_05 - Random Question Order for cAC15
  • cAX01_06 - Random Question Order for cAC17
  • cAX01_07 - Random Question Order for cAC26
  • cAX01_08 - Random Question Order for cAC35
  • cAX01_09 - Random Question Order for cAC44
  • cAX01_10 - Random Question Order for cAD01
  • cAX01_11 - Random Question Order for cAD02
  • cAX01_12 - Random Question Order for cAD03
  • cAX01_13 - Random Question Order for cAD04
  • cAX01_14 - Random Question Order for cAD05
  • cAX01_15 - Random Question Order for cAD06
  • cAX01_16 - Random Question Order for cAD07
  • cAX01_17 - Random Question Order for cAD08
  • cAX01_18 - Random Question Order for cAD09
  • cAX01_19 - Random Question Order for cAD10
  • cAX01_20 - Random Question Order for cAD11
  • cAX01_21 - Random Question Order for cAD12
  • cAX01_22 - Random Question Order for cUA04
  • cAX02_1 - Random Question Order for cAA04–cAA28
  • cAX02_2 - Random Question Order for cAB02–cAB26
  • cAX02_3 - Random Question Order for cAC06–cAC12
  • cAX02_4 - Random Question Order for cAC18–cAC24
  • cAX02_5 - Random Question Order for cAC27–cAC33
  • cAX02_6 - Random Question Order for cAC36–cAC42
  • cAX02_7 - Random Question Order for cAC45–cAC51
  • cAX03_01 - Random Question Order for cAA04
  • cAX03_02 - Random Question Order for cAA05
  • cAX03_03 - Random Question Order for cAA06
  • cAX03_04 - Random Question Order for cAA07
  • cAX03_05 - Random Question Order for cAA08
  • cAX03_06 - Random Question Order for cAA09
  • cAX03_07 - Random Question Order for cAA10
  • cAX03_08 - Random Question Order for cAA11
  • cAX03_09 - Random Question Order for cAA12
  • cAX03_10 - Random Question Order for cAA13
  • cAX03_11 - Random Question Order for cAA14
  • cAX03_12 - Random Question Order for cAA15
  • cAX03_13 - Random Question Order for cAA16
  • cAX03_14 - Random Question Order for cAA17
  • cAX03_15 - Random Question Order for cAA18
  • cAX03_16 - Random Question Order for cAA19
  • cAX03_17 - Random Question Order for cAA20
  • cAX03_18 - Random Question Order for cAA21
  • cAX03_19 - Random Question Order for cAA22
  • cAX03_20 - Random Question Order for cAA23
  • cAX03_21 - Random Question Order for cAA24
  • cAX03_22 - Random Question Order for cAA25
  • cAX03_23 - Random Question Order for cAA26
  • cAX03_24 - Random Question Order for cAA27
  • cAX03_25 - Random Question Order for cAA28
  • cAX04_01 - Random Question Order for cAB02
  • cAX04_02 - Random Question Order for cAB03
  • cAX04_03 - Random Question Order for cAB04
  • cAX04_04 - Random Question Order for cAB05
  • cAX04_05 - Random Question Order for cAB06
  • cAX04_06 - Random Question Order for cAB07
  • cAX04_07 - Random Question Order for cAB08
  • cAX04_08 - Random Question Order for cAB09
  • cAX04_09 - Random Question Order for cAB10
  • cAX04_10 - Random Question Order for cAB11
  • cAX04_11 - Random Question Order for cAB12
  • cAX04_12 - Random Question Order for cAB13
  • cAX04_13 - Random Question Order for cAB14
  • cAX04_14 - Random Question Order for cAB15
  • cAX04_15 - Random Question Order for cAB16
  • cAX04_16 - Random Question Order for cAB17
  • cAX04_17 - Random Question Order for cAB18
  • cAX04_18 - Random Question Order for cAB19
  • cAX04_19 - Random Question Order for cAB20
  • cAX04_20 - Random Question Order for cAB21
  • cAX04_21 - Random Question Order for cAB22
  • cAX04_22 - Random Question Order for cAB23
  • cAX04_23 - Random Question Order for cAB24
  • cAX04_24 - Random Question Order for cAB25
  • cAX04_25 - Random Question Order for cAB26
  • cAX05_1 - Random Question Order for cAC06
  • cAX05_2 - Random Question Order for cAC07
  • cAX05_3 - Random Question Order for cAC08
  • cAX05_4 - Random Question Order for cAC09
  • cAX05_5 - Random Question Order for cAC10
  • cAX05_6 - Random Question Order for cAC11
  • cAX05_7 - Random Question Order for cAC12
  • cAX06_1 - Random Question Order for cAC18
  • cAX06_2 - Random Question Order for cAC19
  • cAX06_3 - Random Question Order for cAC20
  • cAX06_4 - Random Question Order for cAC21
  • cAX06_5 - Random Question Order for cAC22
  • cAX06_6 - Random Question Order for cAC23
  • cAX06_7 - Random Question Order for cAC24
  • cAX07_1 - Random Question Order for cAC27
  • cAX07_2 - Random Question Order for cAC28
  • cAX07_3 - Random Question Order for cAC29
  • cAX07_4 - Random Question Order for cAC30
  • cAX07_5 - Random Question Order for cAC31
  • cAX07_6 - Random Question Order for cAC32
  • cAX07_7 - Random Question Order for cAC33
  • cAX08_1 - Random Question Order for cAC36
  • cAX08_2 - Random Question Order for cAC37
  • cAX08_3 - Random Question Order for cAC38
  • cAX08_4 - Random Question Order for cAC39
  • cAX08_5 - Random Question Order for cAC40
  • cAX08_6 - Random Question Order for cAC41
  • cAX08_7 - Random Question Order for cAC42
  • cAX09_1 - Random Question Order for cAC45
  • cAX09_2 - Random Question Order for cAC46
  • cAX09_3 - Random Question Order for cAC47
  • cAX09_4 - Random Question Order for cAC48
  • cAX09_5 - Random Question Order for cAC49
  • cAX09_6 - Random Question Order for cAC50
  • cAX09_7 - Random Question Order for cAC51
  • cCA01 - Country Going in Right Direction (Wording #1)
  • cCA02 - Country Going in Right Direction (Wording #2)
  • cCA03_1 - Most Important Problem (Wording #1), 1 of 5
  • cCA03_2 - Most Important Problem (Wording #1), 2 of 5
  • cCA03_3 - Most Important Problem (Wording #1), 3 of 5
  • cCA03_4 - Most Important Problem (Wording #1), 4 of 5
  • cCA03_5 - Most Important Problem (Wording #1), 5 of 5
  • cCA03_ - Most Important Problem (Wording #1), Verbatim
  • cCA04 - Don’t-Know Prompt for cCA03
  • cCA05_1 - Most Important Problem (Wording #2), 1 of 5
  • cCA05_2 - Most Important Problem (Wording #2), 2 of 5
  • cCA05_3 - Most Important Problem (Wording #2), 3 of 5
  • cCA05_4 - Most Important Problem (Wording #2), 4 of 5
  • cCA05_5 - Most Important Problem (Wording #2), 5 of 5
  • cCA05_ - Most Important Problem (Wording #2), Verbatim
  • cCA06 - Don’t-Know Prompt for cCA05
  • cCA07 - Iraq or Economy More Important in Vote
  • cCB01 - Country’s Economy Today
  • cCB02 - Country’s Economy Last Year
  • cCB03 - Country’s Economy Next Year
  • cCB04 - Personal Economic Situation Today
  • cCB05 - Personal Economic Situation Last Year
  • cCB06 - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy
  • cCB06_ - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim
  • cCB07 - Aware Economy Grew 7 Percent
  • cCB08 - Economy Will Continue to Grow
  • cCB09 - Approve of Bush Handling Economy
  • cCB10 - Bush Policies Are Improving Economy
  • cCB11 - Trust Bush or Kerry on Economy
  • cCB12 - Bush Will Do Better Than Kerry on Economy
  • cCB13 - Favor Reducing Taxes
  • cCB14 - Taxes Will Increase if Bush Elected
  • cCB15 - Taxes Will Increase if Kerry Elected
  • cCB16 - Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)
  • cCB17 - Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)
  • cCB18 - Favor Repealing Bush Tax Cuts for Wealthy
  • cCB19 - Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance
  • cCB20 - Who Has Benefited Most From Bush Tax Cuts
  • cCB21 - Personally Benefited From Bush Tax Cuts
  • cCB22 - Personally Paying More or Less Taxes This Year
  • cCB23 - Why Paying More Taxes This Year
  • cCB24 - Why Paying Less Taxes This Year
  • cCB25 - Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent
  • cCB26 - Don’t-Know Prompt for cCB25
  • cCB27 - Know Income Level at Which Kerry Would Repeal Bush Tax Cuts
  • cCB28 - Don’t-Know Prompt for cCB27
  • cCB29_1 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5
  • cCB29_2 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5
  • cCB29_3 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5
  • cCB29_4 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5
  • cCB29_5 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5
  • cCB30 - Don’t-Know Prompt for cCB29
  • cCB31_1 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5
  • cCB31_2 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5
  • cCB31_3 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5
  • cCB31_4 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5
  • cCB31_5 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5
  • cCB32 - Don’t-Know Prompt for cCB31
  • cCB33 - Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)
  • cCB34 - Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)
  • cCB35 - Favor Eliminating Estate Tax (Wording #2)
  • cCB36 - Favor Reducing Estate Tax
  • cCB37 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)
  • cCB38 - Don’t-Know Prompt for cCB37
  • cCB39 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)
  • cCB40 - Don’t-Know Prompt for cCB39
  • cCB41 - Know if Bush or Kerry Favors Reducing Estate Tax
  • cCB42 - Don’t-Know Prompt for cCB41
  • cCB43 - Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes
  • cCB44 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB45 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB46 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta
  • cCB47 - Don’t-Know Prompt for cCB46
  • cCB48 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co
  • cCB49 - Don’t-Know Prompt for cCB48
  • cCB50 - Kerry Wants to Raise Taxes $900 Billion
  • cCB51 - Kerry Voted for Higher Taxes 350 Times
  • cCB52 - Kerry Wants to Raise Gas Tax
  • cCB53 - Bush Raided Social Security for Tax Cuts
  • cCB54 - Favor Doing More to Balance Budget
  • cCB55 - Tax Cuts or Spending More Responsible for Deficit
  • cCB55_ - Tax Cuts or Spending More Responsible for Deficit, Verbatim
  • cCB56 - Domestic or Foreign Spending More Responsible for Deficit
  • cCB57 - Best Way to Reduce Deficit
  • cCB57_ - Best Way to Reduce Deficit, Verbatim
  • cCB58 - Domestic or Foreign Spending Cuts Best Way to Reduce Deficit
  • cCB59 - Know if Bush or Kerry Favors Cutting Deficit in Half
  • cCB60 - Don’t-Know Prompt for cCB59
  • cCB61 - Trust Republicans or Democrats on Deficit
  • cCB62 - Jobs Available in Community
  • cCB63 - Know Number of Jobs Gained Under Bush
  • cCB64 - Three Million Jobs Lost Under Bush
  • cCB65 - Favor Increasing Minimum Wage
  • cCB66 - Know if Bush or Kerry Favors Increasing Minimum Wage
  • cCB67 - Don’t-Know Prompt for cCB66
  • cCB68 - Familiar With New Overtime Regulations
  • cCB69 - New Overtime Regulations Will Increase Personal Pay
  • cCB70 - Who Will Benefit Most From New Overtime Regulations
  • cCB71 - Favor Making Union Organizing Easier (No Strongly Follow-Up)
  • cCB72 - Favor Making Union Organizing Easier (Strongly Follow-Up)
  • cCB73 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)
  • cCB74 - Don’t-Know Prompt for cCB73
  • cCB75 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)
  • cCB76 - Don’t-Know Prompt for cCB75
  • cCB77 - Trade Has Improved U.S. Economy
  • cCB78 - Trade Has Improved Personal Economic Situation
  • cCB79 - Favor Government Encouraging Trade
  • cCB80 - Bush Favorable to Trade
  • cCB81 - Kerry Favorable to Trade
  • cCB82 - Favor More Trade Agreements
  • cCB83_1 - Know Democratic Candidate Who Opposes NAFTA, 1 of 5
  • cCB83_2 - Know Democratic Candidate Who Opposes NAFTA, 2 of 5
  • cCB83_3 - Know Democratic Candidate Who Opposes NAFTA, 3 of 5
  • cCB83_4 - Know Democratic Candidate Who Opposes NAFTA, 4 of 5
  • cCB83_5 - Know Democratic Candidate Who Opposes NAFTA, 5 of 5
  • cCB84 - Don’t-Know Prompt for cCB83
  • cCB85 - Favor Government Encouraging Outsourcing
  • cCB86 - Bush or Kerry Better at Preventing Outsourcing
  • cCB87 - Bush Will Do Better Than Kerry at Preventing Outsourcing
  • cCB88 - Bush Favors Sending Jobs Overseas
  • cCC01 - Favor Government Controlling Health Insurance Costs
  • cCC02 - Favor Government Spending More on Health Insurance
  • cCC03 - Favor Government Health Insurance for Children (No Strongly Follow-Up)
  • cCC04 - Favor Government Health Insurance for Children (Strongly Follow-Up)
  • cCC05 - Favor Government Health Insurance for Workers (No Strongly Follow-Up)
  • cCC06 - Favor Government Health Insurance for Workers (Strongly Follow-Up)
  • cCC07 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC08 - Don’t-Know Prompt for cCC07
  • cCC09 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC10 - Don’t-Know Prompt for cCC09
  • cCC11_1 - Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5
  • cCC11_2 - Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5
  • cCC11_3 - Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5
  • cCC11_4 - Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5
  • cCC11_5 - Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5
  • cCC12 - Don’t-Know Prompt for cCC11
  • cCC13_1 - Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5
  • cCC13_2 - Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5
  • cCC13_3 - Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5
  • cCC13_4 - Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5
  • cCC13_5 - Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5
  • cCC14 - Don’t-Know Prompt for cCC13
  • cCC15 - Favor Government Prescription Coverage for Seniors
  • cCC16 - Favor Congress Passing Medicare Prescription Law
  • cCC17 - Favor Medicare Prescription Law (Wording #1)
  • cCC18 - Favor Medicare Prescription Law (Wording #2)
  • cCC19 - Favor Medicare Prescription Law Despite Counterarguments
  • cCC20 - Oppose Medicare Prescription Law Despite Counterarguments
  • cCC21 - Seniors or Companies Will Benefit More From Medicare Prescription Law
  • cCC22 - Know if Bush or Kerry Favors Medicare Prescription Law
  • cCC23 - Don’t-Know Prompt for cCC22
  • cCC24 - Favor Re-Importing Drugs (No Strongly Follow-Up)
  • cCC25 - Favor Re-Importing Drugs (Strongly Follow-Up)
  • cCC26 - Know if Bush or Kerry Favors Re-Importing Drugs
  • cCC27 - Don’t-Know Prompt for cCC26
  • cCC28 - Know if Bush or Kerry Favors Negotiating With Drug Companies
  • cCC29 - Don’t-Know Prompt for cCC28
  • cCC30 - Bush Responsible for Flu Vaccine Shortage
  • cCC31 - Kerry Responsible for Flu Vaccine Shortage
  • cCC32 - Favor Social Security in Stock Market (Strongly Follow-Up)
  • cCC33 - Favor Social Security in Stock Market (No Strongly Follow-Up)
  • cCC34 - Know if Bush or Kerry Favors Social Security in Stock Market
  • cCC35 - Don’t-Know Prompt for cCC34
  • cCC36 - Familiar With No Child Left Behind
  • cCC37 - No Child Left Behind Has Improved Schools (Wording #1)
  • cCC38 - No Child Left Behind Has Improved Schools (Wording #2)
  • cCC39 - Favor School Vouchers
  • cCC40 - Favor Federal Assistance to Schools
  • cCC41 - Favor Government Trying to Reduce Income Differences
  • cCD01 - U.S. Is Regarded Differently Because of Bush
  • cCD02 - Matters How U.S. Is Regarded Because of Bush
  • cCD03 - Favor Spending on Military
  • cCD04 - Trust Bush or Kerry to Be Commander-in-Chief
  • cCD05 - Bush Will Do Better Than Kerry as Commander-in-Chief
  • cCD06 - U.S. Too Involved in Trouble Spots Other Than Iraq
  • cCD07 - Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)
  • cCD08 - Favor Moving Troops From Europe and Korea (Strongly Follow-Up)
  • cCD09 - Know if Bush or Kerry Favors Moving Troops From Europe and Korea
  • cCD10 - Don’t-Know Prompt for cCD09
  • cCD11 - Favor Reinstating Draft
  • cCD12 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD13 - Don’t-Know Prompt for cCD12
  • cCD14 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD15 - Don’t-Know Prompt for cCD14
  • cCD16 - Think Bush Will Reinstate Draft
  • cCD17 - Think Kerry Will Reinstate Draft
  • cCD18 - Veterans Getting Health Care They Were Promised
  • cCD19 - Approve of Bush Handling Iraq
  • cCD20 - Favor Spending on Iraq and Afghanistan
  • cCD21 - Iraq War Was Worth It
  • cCD22 - Iraq War Was Worth It Despite Counterarguments
  • cCD23 - Iraq War Was Not Worth It Despite Counterarguments
  • cCD24 - U.S. Too Quick to Go to War With Iraq
  • cCD25 - Cost of Iraq War Was Necessary
  • cCD26 - Iraq Had WMDs
  • cCD27 - Know if Bush or Kerry Favors Spending on Iraq and Afghanistan
  • cCD28 - Don’t-Know Prompt for cCD27
  • cCD29_1 - Know Democratic Candidate Who Opposed Iraq War, 1 of 5
  • cCD29_2 - Know Democratic Candidate Who Opposed Iraq War, 2 of 5
  • cCD29_3 - Know Democratic Candidate Who Opposed Iraq War, 3 of 5
  • cCD29_4 - Know Democratic Candidate Who Opposed Iraq War, 4 of 5
  • cCD29_5 - Know Democratic Candidate Who Opposed Iraq War, 5 of 5
  • cCD30 - Don’t-Know Prompt for cCD29
  • cCD31 - Iraq War Reduced Risk of Terrorism
  • cCD32 - Hussein Helped Al Qaeda With 9/11
  • cCD33 - Hussein Linked to Al Qaeda
  • cCD34 - Favor Spending More on Rebuilding Iraq
  • cCD35 - Favor Keeping Troops in Iraq Until Government Stable
  • cCD36 - U.S. or New Government Will Have More Power in Iraq
  • cCD37 - U.S. or New Government Will Have Much More Power in Iraq
  • cCD38 - Power Transfer in Iraq Will Increase Risk of Terrorism
  • cCD39 - When Troops Should Return Home
  • cCD40 - When Troops Will Return Home
  • cCD41 - Know How Many Troops in Iraq
  • cCD41_ - Know How Many Troops in Iraq, Verbatim
  • cCD42 - Bush Has Plan for Iraq
  • cCD43 - Kerry Has Plan for Iraq
  • cCD44 - Bush Had Plan for Iraq When Voted
  • cCD45 - Kerry Had Plan for Iraq When Voted
  • cCD46 - Soldiers Followed Orders to Mistreat Iraqi Prisoners
  • cCD47 - Pentagon Acted Property on Iraqi Prisoner Treatment
  • cCD48 - Bush Should Apologize for Iraqi Prisoner Treatment
  • cCD49 - Rumsfeld Should Resign Over Iraqi Prisoner Treatment
  • cCD50 - Regular Military Sent to Iraq Properly Prepared
  • cCD51 - Guard and Reserves Sent to Iraq Properly Prepared
  • cCD52 - Pentagon Overburdened Guard and Reserves
  • cCD53 - Important That Democrats Nominate Iraq War Supporter
  • cCD54 - Halliburton Awarded Contracts Because of Cheney
  • cCD55 - Bush Responsible for Missing Explosives in Iraq
  • cCD56 - Favor Doing More to Protect Terrorism Targets
  • cCD57 - Favor Spending More on Homeland Security
  • cCD58 - Feel Safer Because of Government Efforts After 9/11 (Wording #1)
  • cCD59 - Feel Safer Because of Government Efforts After 9/11 (Wording #2)
  • cCD60 - Chance of Terrorist Attack in Next Year
  • cCD61 - Approve of Bush Handling Terrorism
  • cCD62 - Trust Bush or Kerry on Terrorism
  • cCD63 - Bush Will Do Better Than Kerry on Terrorism
  • cCD64 - Clinton or Bush Took Terrorism Threat More Seriously
  • cCD65 - Favor Doing More About Potential Terrorists
  • cCD66 - Approve of Patriot Act
  • cCD67 - Patriot Act Is Good for Country
  • cCD68 - Know if Bush or Kerry Favors Patriot Act (Wording #1)
  • cCD69 - Don’t-Know Prompt for cCD68
  • cCD70 - Know if Bush or Kerry Favors Patriot Act (Wording #2)
  • cCD71 - Don’t-Know Prompt for cCD70
  • cCD72 - Favor 9/11 Recommendations
  • cCD73 - Know if Bush Favors 9/11 Recommendations
  • cCD74 - Know if Kerry Favors 9/11 Recommendations
  • cCD75 - Bin Laden Wants Bush or Kerry to Win
  • cCD76 - Bush Did Everything Possible Against Al Qaeda Before 9/11
  • cCD77 - Bush Responsible for Bin Laden at Large
  • cCD78 - Bush or Kerry Has Plan for Bin Laden
  • cCD79 - Bush or Kerry Better at Protecting Soviet Nuclear Materials
  • cCD80 - Don’t-Know Prompt for cCD79
  • cCD81 - Job Bush Did Protecting Soviet Nuclear Materials
  • cCD82 - Favor Restricting Immigration
  • cCE01 - Favor Banning All Abortions
  • cCE02 - Favor Making Abortion More Difficult
  • cCE03 - Know if Bush or Kerry Favors Making Abortion More Difficult
  • cCE04 - Don’t-Know Prompt for cCE03
  • cCE05 - Favor Banning Late-Term Abortions (Wording #1)
  • cCE06 - Favor Banning Late-Term Abortions (Wording #2)
  • cCE07 - Favor Stem Cell Funding (Wording #1)
  • cCE08 - Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)
  • cCE09 - Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)
  • cCE10 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)
  • cCE11 - Don’t-Know Prompt for cCE10
  • cCE12 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)
  • cCE13 - Don’t-Know Prompt for cCE12
  • cCE14 - Favor Additional Stem Cell Lines
  • cCE15 - Know if Bush or Kerry Favors Additional Stem Cell Lines
  • cCE16 - Don’t-Know Prompt for cCE15
  • cCE17 - Favor Federal Marriage Amendment (Wording #1)
  • cCE18 - Favor Federal Marriage Amendment (Wording #2)
  • cCE19 - Favor Federal Marriage Amendment (Wording #3)
  • cCE20 - Favor Federal Marriage Amendment (Wording #4)
  • cCE21 - Favor Federal Marriage Amendment (Wording #5)
  • cCE24 - Favor State Law Allowing Same-Sex Marriage (Wording #1)
  • cCE25 - Favor State Law Allowing Same-Sex Marriage (Wording #2)
  • cCE26 - Favor State Law Allowing Civil Unions
  • cCE27 - More Likely to Vote for Candidate Favoring Same-Sex Unions
  • cCE28 - Favor Gays in Military
  • cCE29 - Favor Prohibiting Employment Discrimination Against Gays
  • cCE30 - Offended by Redskins’ Name
  • cCE31 - Favor Gun Control
  • cCE32 - Favor Congress Extending Assault Weapons Ban
  • cCE33 - Favor Assault Weapons Ban (No Strongly Follow-Up)
  • cCE34 - Favor Assault Weapons Ban (Strongly Follow-Up)
  • cCE35 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)
  • cCE36 - Don’t-Know Prompt for cCE35
  • cCE37 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)
  • cCE38 - Don’t-Know Prompt for cCE37
  • cCF02 - Bush or Kerry Would Do More on Foreign Oil
  • cCF03 - Don’t-Know Prompt for cCF02
  • cCF04 - Bush Will Do More Than Kerry on Foreign Oil
  • cCF05 - Gas Prices Caused Personal Financial Hardship (Wording #1)
  • cCF06 - Gas Prices Caused Personal Financial Hardship (Wording #2)
  • cCF07 - Intend to Change Vacation Plans Because of Gas Prices
  • cCF08 - Favor Government Doing More on Environment
  • cCF09 - Global Warming Is Serious Problem
  • cCG01 - Favor Limiting Lawsuits (No Strongly Follow-Up)
  • cCG02 - Favor Limiting Lawsuits (Strongly Follow-Up)
  • cCG03 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)
  • cCG04 - Don’t-Know Prompt for cCG03
  • cCG05 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)
  • cCG06 - Don’t-Know Prompt for cCG05
  • cCG07 - Favor Limiting Malpractice Awards
  • cCG08 - Know if Bush or Kerry Favors Limiting Malpractice Awards
  • cCG09 - Don’t-Know Prompt for cCG08
  • cCH01 - Supreme Court Important in Vote
  • cCH02 - Comfortable With Bush Making Supreme Court Nominations
  • cCH03 - Comfortable With Kerry Making Supreme Court Nominations
  • cCH04 - Know Supreme Court Salary
  • cCH05 - Don’t-Know Prompt for cCH04
  • cCH06 - Supreme Court Salary Too High
  • cCH07 - Know President’s Salary
  • cCH08 - Don’t-Know Prompt for cCH07
  • cCH09 - President’s Salary Too High
  • cDA01 - Important That Democrats Nominate Vietnam Veteran
  • cDA02_1 - Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA02_2 - Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA02_3 - Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA02_4 - Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA02_5 - Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA03 - Don’t-Know Prompt for cDA02
  • cDA04_1 - Know Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA04_2 - Know Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA04_3 - Know Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA04_4 - Know Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA04_5 - Know Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA05 - Don’t-Know Prompt for cDA04
  • cDA06 - Approve of Kerry’s Anti-War Activities
  • cDA07 - Kerry’s Anti-War Activities Will Affect Vote
  • cDA08 - Kerry Earned Vietnam Medals
  • cDA09 - Familiar With Kerry’s Anti-War Statements
  • cDA10 - Approve of Kerry’s Anti-War Statements (Wording #1)
  • cDA11 - Approve of Kerry’s Anti-War Statements (Wording #2)
  • cDA12 - Watched or Familiar With Swift Boat Ad
  • cDA13 - Swift Boat Ad Believable
  • cDA14 - Bush Campaign Behind Swift Boat Ad
  • cDA15 - Bush Fulfilled National Guard Obligations
  • cDA16 - Bush in National Guard Will Affect Vote
  • cDA17 - Know if Bush or Kerry Is Former Prosecutor
  • cDA18 - Don’t-Know Prompt for cDA17
  • cDA19_1 - Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5
  • cDA19_2 - Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5
  • cDA19_3 - Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5
  • cDA19_4 - Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5
  • cDA19_5 - Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5
  • cDA20 - Don’t-Know Prompt for cDA19
  • cDA21_1 - Know Democratic Candidate Who Was House Majority Leader, 1 of 5
  • cDA21_2 - Know Democratic Candidate Who Was House Majority Leader, 2 of 5
  • cDA21_3 - Know Democratic Candidate Who Was House Majority Leader, 3 of 5
  • cDA21_4 - Know Democratic Candidate Who Was House Majority Leader, 4 of 5
  • cDA21_5 - Know Democratic Candidate Who Was House Majority Leader, 5 of 5
  • cDA22 - Don’t-Know Prompt for cDA21
  • cDA23_1 - Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5
  • cDA23_2 - Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5
  • cDA23_3 - Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5
  • cDA23_4 - Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5
  • cDA23_5 - Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5
  • cDA24 - Don’t-Know Prompt for cDA23
  • cDA25_1 - Know Democratic Candidate Who Was a General, 1 of 5
  • cDA25_2 - Know Democratic Candidate Who Was a General, 2 of 5
  • cDA25_3 - Know Democratic Candidate Who Was a General, 3 of 5
  • cDA25_4 - Know Democratic Candidate Who Was a General, 4 of 5
  • cDA25_5 - Know Democratic Candidate Who Was a General, 5 of 5
  • cDA26 - Don’t-Know Prompt for cDA25
  • cDA27_1 - Know Democratic Candidate Who Was Governor of Vermont, 1 of 5
  • cDA27_2 - Know Democratic Candidate Who Was Governor of Vermont, 2 of 5
  • cDA27_3 - Know Democratic Candidate Who Was Governor of Vermont, 3 of 5
  • cDA27_4 - Know Democratic Candidate Who Was Governor of Vermont, 4 of 5
  • cDA27_5 - Know Democratic Candidate Who Was Governor of Vermont, 5 of 5
  • cDA28 - Don’t-Know Prompt for cDA27
  • cDA29_1 - Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5
  • cDA29_2 - Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5
  • cDA29_3 - Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5
  • cDA29_4 - Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5
  • cDA29_5 - Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5
  • cDA30 - Don’t-Know Prompt for cDA29
  • cEA01 - Watched Network News in Past Week
  • cEA02 - Network News Channel Watched Most
  • cEA03 - Watched Cable News in Past Week
  • cEA04 - Cable News Channel Watched Most
  • cEA04_ - Cable News Channel Watched Most, Verbatim
  • cEA05 - Attention to Political News on Network or Cable TV in Past Week
  • cEA06 - Watched Local News in Past Week
  • cEA07 - Attention to Political News on Local TV in Past Week
  • cEA08 - Watched Spanish News in Past Week
  • cEA09 - Watched BET News in Past Week
  • cEA10 - Read Newspaper in Past Week
  • cEA11 - Newspaper Read Most
  • cEA11_ - Newspaper Read Most, Verbatim
  • cEA12 - Read Wall Street Journal Editorial Page
  • cEA13 - Attention to Political News in Newspaper in Past Week
  • cEA14 - Listened to NPR in Past Week
  • cEA15 - Listened to Talk Radio Other Than NPR in Past Week
  • cEA16_1 - Talk Radio Programs Listened to in Past Week, 1 of 5
  • cEA16_2 - Talk Radio Programs Listened to in Past Week, 2 of 5
  • cEA16_3 - Talk Radio Programs Listened to in Past Week, 3 of 5
  • cEA16_4 - Talk Radio Programs Listened to in Past Week, 4 of 5
  • cEA16_5 - Talk Radio Programs Listened to in Past Week, 5 of 5
  • cEA16_ - Talk Radio Programs Listened to in Past Week, Verbatim
  • cEA17 - Talk Radio Program Listen to Most
  • cEA17_ - Talk Radio Program Listen to Most, Verbatim
  • cEA18 - Watched Late-Night Comedy in Past Week
  • cEA19 - Late-Night Comedy Program Watched Most (Wording #1)
  • cEA19_ - Late-Night Comedy Program Watched Most (Wording #1), Verbatim
  • cEA20 - Late-Night Comedy Program Watched Most (Wording #2)
  • cEA20_ - Late-Night Comedy Program Watched Most (Wording #2), Verbatim
  • cEA21 - Have Online Access
  • cEA22 - Accessed Political Information Online in Past Week (Wording #1)
  • cEA23 - Accessed Political Information Online in Past Week (Wording #2)
  • cEA24_1 - Source of Online Political Information in Past Week, 1 of 3
  • cEA24_2 - Source of Online Political Information in Past Week, 2 of 3
  • cEA24_3 - Source of Online Political Information in Past Week, 3 of 3
  • cEA24_ - Source of Online Political Information in Past Week, Verbatim
  • cEA25 - Media Have Decided Democratic Frontrunner
  • cEA26 - Democratic Candidate Who Media Think Is Frontrunner
  • cEA27_1 - Source of Information About General Election Results, 1 of 5
  • cEA27_2 - Source of Information About General Election Results, 2 of 5
  • cEA27_3 - Source of Information About General Election Results, 3 of 5
  • cEA27_4 - Source of Information About General Election Results, 4 of 5
  • cEA27_5 - Source of Information About General Election Results, 5 of 5
  • cEA27_ - Source of Information About General Election Results, Verbatim
  • cEA28 - TV Channel Watched for General Election Coverage
  • cFA03 - Watched Sept. 30 Bush-Kerry Debate
  • cFA04 - TV Channel Watched for Sept. 30 Bush-Kerry Debate
  • cFA04_ - TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim
  • cFA05 - Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)
  • cFA06 - Bush Did Better Than Expected in Sept. 30 Debate
  • cFA07 - Kerry Did Better Than Expected in Sept. 30 Debate
  • cFA08 - Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)
  • cFA09 - Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)
  • cFA10 - Watched Oct. 8 Bush-Kerry Debate
  • cFA11 - TV Channel Watched for Oct. 8 Bush-Kerry Debate
  • cFA11_ - TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim
  • cFA12 - Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)
  • cFA13 - Bush Did Better Than Expected in Oct. 8 Debate
  • cFA14 - Kerry Did Better Than Expected in Oct. 8 Debate
  • cFA15 - Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)
  • cFA16 - Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)
  • cFA17 - Watched Oct. 13 Bush-Kerry Debate
  • cFA18 - TV Channel Watched for Oct. 13 Bush-Kerry Debate
  • cFA18_ - TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim
  • cFA19 - Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)
  • cFA20 - Bush Did Better Than Expected in Oct. 13 Debate
  • cFA21 - Kerry Did Better Than Expected in Oct. 13 Debate
  • cFA22 - Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)
  • cFA23 - Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)
  • cFA24 - Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate
  • cFA25 - Watched Cheney-Edwards Debate
  • cFA26 - TV Channel Watched for Cheney-Edwards Debate
  • cFA26_ - TV Channel Watched for Cheney-Edwards Debate, Verbatim
  • cFA27 - Cheney or Edwards Did Best in Debate (Watched Debate)
  • cFA28 - Cheney Did Better Than Expected in Debate
  • cFA29 - Edwards Did Better Than Expected in Debate
  • cFA30 - Familiar With Cheney-Edwards Debate (Did Not Watch)
  • cFA31 - Cheney or Edwards Did Best in Debate (Did Not Watch)
  • cFA37 - Watched Any General Election Debates
  • cFB01 - Know When Democratic Convention Held
  • cFB02 - Watched Clinton’s Convention Speech
  • cFB03 - Watched Edwards’ Convention Speech
  • cFB04 - Watched Kerry’s Convention Speech
  • cFB05 - Watched Coverage of Democratic Convention
  • cFB06 - Know When Republican Convention Held
  • cFB07 - Watched Zell Miller’s Convention Speech
  • cFB08 - Watched Cheney’s Convention Speech
  • cFB09 - Watched Bush’s Convention Speech
  • cFB10 - Watched Coverage of Republican Convention
  • cFB11 - Convention That Was More Accurate in Describing Other
  • cFC01 - Watched Campaign Ads in Past Week
  • cFC02 - Typically Watch Political Ads
  • cFC03 - Familiar With Bush Campaign Ads
  • cFC04 - Appropriate for Bush Ads to Show 9/11 Damage
  • cFC05 - Appropriate for Bush Ads to Show 9/11 Firefighters
  • cFC06 - Watched Campaign Ads Recently
  • cFC07 - Watched Bush or Kerry Campaign Ads Recently
  • cFC08 - Learning Anything New and True From Campaign Ads
  • cFC09 - Learning Anything New From Campaign Ads
  • cFC10 - Campaign Ads Affected Vote
  • cFD03 - Contacted by Democratic Campaign in Person or by Phone
  • cFD04 - Contacted by Democratic Campaign in Person
  • cFD05 - Contacted by Democratic Campaign by Phone
  • cFD06 - Contacted by Democratic Campaign by Live or Recorded Phone Call
  • cFD07 - Number of Phone Calls From Democratic Campaign
  • cFD08 - Contacted About Election by Group Other Than Democratic Campaign
  • cFD09_1 - Reminded to Vote, 1 of 3
  • cFD09_2 - Reminded to Vote, 2 of 3
  • cFD09_3 - Reminded to Vote, 3 of 3
  • cFD10 - Reminded to Vote by Republicans or Democrats
  • cFD10_ - Reminded to Vote by Republicans or Democrats, Verbatim
  • cFD11 - Reminded to Vote by Advocate for Candidate
  • cFD12_1 - Offered Help to Get Early Ballot, 1 of 4
  • cFD12_2 - Offered Help to Get Early Ballot, 2 of 4
  • cFD12_3 - Offered Help to Get Early Ballot, 3 of 4
  • cFD12_4 - Offered Help to Get Early Ballot, 4 of 4
  • cFD13 - Offered Help to Get Early Ballot by Republicans or Democrats
  • cFD13_ - Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim
  • cFD14 - Offered Help to Get Early Ballot by Advocate for Candidate
  • cFD15 - Received Campaign Brochures
  • cFD16 - Received Campaign Brochures by Mail
  • cFD17 - Received Campaign Emails
  • cFD18 - Received Republican Email Link to Video About Kerry
  • cFD19 - Watched Republican Video on Kerry
  • cFD20 - Republican Video Changed Opinion of Kerry
  • cFE01 - Heard or Read About 2004 State of the Union
  • cFE02 - Watched Bush on “Meet the Press”
  • cFE03 - Familiar With Bush on “Meet the Press” (Did Not Watch)
  • cFE04 - “Meet the Press” Changed Opinion of Bush
  • cFE05 - Watched 9/11 Commission Hearings
  • cFE06 - Familiar With 9/11 Commission Hearings (Did Not Watch)
  • cFE07 - Watched Rice’s Testimony to 9/11 Commission
  • cFE08 - Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)
  • cFE09 - Familiar With Richard Clarke’s Book
  • cFE10 - Believe Clarke’s Charges
  • cFE11 - Watched Reagan Funeral
  • cFE12 - Watched “Fahrenheit 911”
  • cFE13 - “Fahrenheit 911” Changed Opinion of Bush
  • cFE14 - Intend to Watch “Fahrenheit 911”
  • cFE15 - Watched “The Day After Tomorrow”
  • cFF01 - Candidates Criticizing Opponents
  • cFF02 - Candidates Talking About What Would Do if Elected
  • cFF03 - Candidates Talking About Solving Problems
  • cFF04 - Bush Criticizing Opponent
  • cFF05 - Kerry Criticizing Opponent
  • cFF06 - Bush Talking About Solving Problems
  • cFF07 - Kerry Talking About Solving Problems
  • cFF08 - Bush Criticizing Opponent or Talking About Solving Problems
  • cFF09 - Kerry Criticizing Opponent or Talking About Solving Problems
  • cFF10 - Honesty of Bush Campaign
  • cFF11 - Honesty of Kerry Campaign
  • cFF12 - Learned Enough About Democratic Candidates and Issues So Far
  • cFF13 - Learned Enough About Candidates and Issues Before Primary
  • cFF14 - Learned Enough About Bush So Far
  • cFF15 - Learned Enough About Kerry So Far
  • cFF16 - Learned Enough About Candidates and Issues So Far
  • cFF17 - Learned Enough About Candidates and Issues Before General Election
  • cKA01 - Follow Politics
  • cKA02 - Following Democratic Campaign
  • cKA03 - Thought About Primary
  • cKA04 - Following Campaign
  • cKA05 - Interested in Campaign
  • cKB01 - Discussed Politics With Family or Friends in Past Week
  • cKB02 - Type of Politics Discussed With Family or Friends in Past Week
  • cKB03 - Discussed Politics at Work in Past Week
  • cKB04 - Type of Politics Discussed at Work in Past Week
  • cKB05 - Discussed Politics Online in Past Week
  • cKB06 - Type of Politics Discussed Online in Past Week
  • cKC01 - Intend to Participate in Campaign
  • cKC02 - Tried to Influence Others’ Voting
  • cKC03 - Attended Political Meetings
  • cKC04 - Did Other Work for Candidate
  • cKC05 - Donated Money to Candidate
  • cKC06_1 - Method of Donating Money to Candidate, 1 of 4
  • cKC06_2 - Method of Donating Money to Candidate, 2 of 4
  • cKC06_3 - Method of Donating Money to Candidate, 3 of 4
  • cKC06_4 - Method of Donating Money to Candidate, 4 of 4
  • cKC06_ - Method of Donating Money to Candidate, Verbatim
  • cKC07 - Wore Campaign Button or Displayed Sign
  • cMA01 - Party ID
  • cMA01_ - Party ID, Verbatim
  • cMA02 - Strength of Party ID
  • cMA03 - Lean Republican or Democrat
  • cMA04 - Lean Independent or Democrat
  • cMA05 - Lean Independent or Republican
  • cMA06 - Conservative or Liberal
  • cMA07 - Conservative or Liberal on Social Issues
  • cMA08 - Conservative or Liberal on Economic Issues
  • cMB01 - Trust Government (Wording #1)
  • cMB02 - Trust Government (Wording #2)
  • cMB03 - Trust Business Executives
  • cMB04 - Trust Elected Officials
  • cMB05 - Confidence in Executive Branch
  • cMB06 - Confidence in Legislative Branch
  • cMB07 - Confidence in Judicial Branch
  • cMB08 - Confidence in State Elected Officials
  • cMB09 - Confidence in Local Government
  • cMB10 - Politics Too Complicated
  • cMB11 - People Like Me Have No Say in Government
  • cMB12 - Duty to Keep Informed About Politics
  • cMB13 - Does Not Matter if Do Not Follow Politics
  • cMB14 - Presidents Try to Keep Promises
  • cMB15 - Candidates Try to Keep Promises
  • cMB16 - Presidents Make Decisions in Nation’s Interest
  • cMC01 - Know Cheney Is Vice President
  • cMC01_ - Know Cheney Is Vice President, Verbatim
  • cMC02 - Don’t-Know Prompt for cMC01
  • cMC03 - Know Supreme Court Determines Constitutionality of Laws
  • cMC04 - Don’t-Know Prompt for cMC03
  • cMC05 - Know Two-Thirds Majority Overrides Veto
  • cMC05_ - Know Two-Thirds Majority Overrides Veto, Verbatim
  • cMC06 - Don’t-Know Prompt for cMC05
  • cMC07 - Know Republicans Are Majority Party in House
  • cMC08 - Don’t-Know Prompt for cMC07
  • cMC09 - Know Republican Party Is More Conservative
  • cMC10 - Don’t-Know Prompt for cMC09
  • cNA01 - Chance Clark Will Win Primary
  • cNA02 - Chance Dean Will Win Primary
  • cNA03 - Chance Edwards Will Win Primary
  • cNA04 - Chance Gephardt Will Win Primary
  • cNA05 - Chance Kerry Will Win Primary
  • cNA06 - Chance Lieberman Will Win Primary
  • cNA07_1 - Know Candidate Who Won Most Primaries, 1 of 5
  • cNA07_2 - Know Candidate Who Won Most Primaries, 2 of 5
  • cNA07_3 - Know Candidate Who Won Most Primaries, 3 of 5
  • cNA07_4 - Know Candidate Who Won Most Primaries, 4 of 5
  • cNA07_5 - Know Candidate Who Won Most Primaries, 5 of 5
  • cNA08 - Don’t-Know Prompt for cNA07
  • cNA09 - Chance Clark Will Beat Bush
  • cNA10 - Chance Bush Will Beat Clark
  • cNA11 - Random Assignment to cNA09–cNA10
  • cNA12 - Chance Dean Will Beat Bush
  • cNA13 - Chance Bush Will Beat Dean
  • cNA14 - Random Assignment to cNA12–cNA13
  • cNA15 - Chance Edwards Will Beat Bush
  • cNA16 - Chance Bush Will Beat Edwards
  • cNA17 - Random Assignment to cNA15–cNA16
  • cNA18 - Chance Gephardt Will Beat Bush
  • cNA19 - Chance Bush Will Beat Gephardt
  • cNA20 - Random Assignment to cNA18–cNA19
  • cNA21 - Chance Kerry Will Beat Bush
  • cNA22 - Chance Bush Will Beat Kerry
  • cNA23 - Random Assignment to cNA21–cNA22
  • cNA24 - Chance Lieberman Will Beat Bush
  • cNA25 - Chance Bush Will Beat Lieberman
  • cNA26 - Random Assignment to cNA24–cNA25
  • cNB01 - Know Gore’s Endorsement for Primary
  • cNB02 - Gore’s Endorsement of Dean Affects Vote
  • cNB03 - Know Bradley’s Endorsement for Primary
  • cNB11 - Know Madonna’s Endorsement for Primary
  • cNB12 - Know if Bush or Gore Has More Support From Retired Military Leaders
  • cNB13 - Don’t-Know Prompt for cNB12
  • cNB14 - General Election Endorsement by Newspaper Read Most
  • cNB15 - General Election Endorsement Affected Vote
  • cNB15_ - General Election Endorsement Affected Vote, Verbatim
  • cRA01 - Registered to Vote
  • cRA02 - First Time Registered to Vote
  • cRB01 - Democratic Presidential Primary Election Status
  • cRB03 - Intend to Vote in Primary
  • cRB04 - Chance of Voting in Primary
  • cRB05 - Intend to Vote in Republican or Democratic Primary
  • cRB06 - Candidate Intend to Vote for in Democratic Primary
  • cRB07 - Chance of Voting for Different Candidate in Democratic Primary
  • cRB08 - Why Supporting Candidate in Democratic Primary
  • cRB09 - Intend to Early Vote in Democratic Primary
  • cRB10 - Intended Method of Early Voting in Democratic Primary
  • cRB11 - Voted in Primary
  • cRB12 - Voted in Republican or Democratic Primary
  • cRB13 - Candidate Voted for in Democratic Primary
  • cRB14 - When Made Up Mind About Democratic Primary Vote
  • cRB15 - Ever Intended to Vote for Different Candidate in Democratic Primary
  • cRB15_ - Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim
  • cRB16 - Why Supported Candidate in Democratic Primary
  • cRB17 - Early Voted in Primary
  • cRB18 - Method of Early Voting in Primary
  • cRB19 - Date of Early Voting in Primary (Asked Pre-Election)
  • cRB20 - Date of Early Voting in Primary (Asked Post-Election)
  • cRB21 - Would Change Early Vote in Democratic Primary
  • cRB22_1 - Why Did Not Vote in Primary, 1 of 5
  • cRB22_2 - Why Did Not Vote in Primary, 2 of 5
  • cRB22_3 - Why Did Not Vote in Primary, 3 of 5
  • cRB22_4 - Why Did Not Vote in Primary, 4 of 5
  • cRB22_5 - Why Did Not Vote in Primary, 5 of 5
  • cRB22_ - Why Did Not Vote in Primary, Verbatim
  • cRC01 - Intend to Vote in General Election
  • cRC02 - Chance of Voting in General Election
  • cRC03 - Intend to Vote for Bush or Democrat
  • cRC04 - Intend to Vote for Bush or Clark
  • cRC05 - Intend to Vote for Bush or Dean
  • cRC06 - Intend to Vote for Bush or Edwards
  • cRC07 - Intend to Vote for Bush or Kerry
  • cRC08_1 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2
  • cRC08_2 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2
  • cRC09_1 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2
  • cRC09_2 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2
  • cRC10 - Intend to Vote for Bush, Kerry, or Nader (Wording #1)
  • cRC11 - Intend to Vote for Bush, Kerry, or Nader (Wording #2)
  • cRC12 - Intend to Vote for Bush, Kerry, or Nader (Wording #3)
  • cRC13 - Intend to Vote for Bush, Kerry, or Nader (Wording #4)
  • cRC14 - Intend to Vote for Bush, Kerry, or Nader (Wording #5)
  • cRC15 - Intend to Vote for Bush or Kerry if Nader Not on Ballot
  • cRC16 - Definitely Intend to Vote for Bush in General Election
  • cRC17 - Definitely Intend to Vote for Kerry in General Election
  • cRC18 - Definitely Intend to Vote for Nader in General Election
  • cRC19 - Enthusiastic About Bush-Cheney
  • cRC20 - Upset About Bush-Cheney
  • cRC21 - Enthusiastic About Kerry-Edwards
  • cRC22 - Upset About Kerry-Edwards
  • cRC23 - Supporting Bush Because Against Kerry
  • cRC24 - Supporting Kerry Because Against Bush
  • cRC25 - Bush Should Keep Cheney as Running Mate
  • cRC26 - Intend to Early Vote in General Election
  • cRC27 - Intended Method of Early Voting in General Election
  • cRC28 - Voted in General Election
  • cRC29 - Voted for Bush, Kerry, or Nader
  • cRC30 - Voted for Bush or Kerry (Nader Not on Ballot)
  • cRC32 - Voted for Both Parties in General Election
  • cRC33 - General Election Is First Time Voted
  • cRC34 - When Made Up Mind About General Election Vote
  • cRC35 - When Made Up Mind About General Election Vote More Than Month Before
  • cRC36 - Ever Intended to Vote for Bush in General Election
  • cRC37 - Ever Intended to Vote for Kerry in General Election
  • cRC38 - Supported Bush Because Against Kerry
  • cRC39 - Supported Kerry Because Against Bush
  • cRC40 - Early Voted in General Election
  • cRC41 - Method of Early Voting in General Election
  • cRC42 - Date of Early Voting in General Election (Asked Pre-Election)
  • cRC43 - Date of Early Voting in General Election (Asked Post-Election)
  • cRC44 - Would Change Early Vote in General Election
  • cRC45 - How Would Change Early Vote in General Election
  • cRC46 - Method of Voting at Polling Station in General Election
  • cRC47 - Cast Provisional Ballot in General Election
  • cRC48 - Why Did Not Vote in General Election
  • cRC48_ - Why Did Not Vote in General Election, Verbatim
  • cRC49 - Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)
  • cRC50 - Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)
  • cRD01 - Voted in 2000 General Election
  • cRE01 - Vote Because of Civic Duty or for Candidate or Issue (Wording #1)
  • cRE02 - Voting Only Way to Have Say in Government
  • cRE03 - Voting Best Way to Participate in Politics
  • cRE04 - Important to Vote Even if Candidate Has No Chance
  • cRE05 - Enjoy Voting
  • cRE06 - Vote Because of Civic Duty or for Candidate or Issue (Wording #2)
  • cRE07 - Feel Less American if Do Not Vote
  • cRE08 - Feel Guilty if Do Not Vote
  • cRE09 - People in Family Will Vote (Wording #1)
  • cRE10 - People in Family Will Vote (Wording #2)
  • cRE11 - People in Family Voted
  • cRE12 - Friends Will Vote (Wording #1)
  • cRE13 - Friends Will Vote (Wording #2)
  • cRE14 - Friends Voted
  • cRE15 - People I Know Vote Always
  • cRE16 - Family and Friends Disappointed if I Do Not Vote
  • cRF01 - Would Vote for Female President
  • cRF02 - Would Vote for Hillary Clinton or Bush
  • cRF03 - Would Vote for Feinstein or Bush
  • cRF04 - Would Vote for Elizabeth Dole or Kerry
  • cRF05 - Would Vote for Rice or Kerry
  • cRG01 - Prefer Voting at Polling Station, by Mail, or Online
  • cRG02 - Favor Online Voting
  • cRG03 - More Likely to Vote if Online
  • cRG04 - Support Ending Electoral College (Wording #1)
  • cRG05 - Support Ending Electoral College (Wording #2)
  • cRX01_1 - Random Response Order for Clark in cRB06, cRB13
  • cRX01_2 - Random Response Order for Dean in cRB06, cRB13
  • cRX01_3 - Random Response Order for Edwards in cRB06, cRB13
  • cRX01_4 - Random Response Order for Gephardt in cRB06, cRB13
  • cRX01_5 - Random Response Order for Kerry in cRB06, cRB13
  • cRX01_6 - Random Response Order for Kucinich in cRB06, cRB13
  • cRX01_7 - Random Response Order for Lieberman in cRB06, cRB13
  • cRX01_8 - Random Response Order for Moseley Braun in cRB06, cRB13
  • cRX01_9 - Random Response Order for Sharpton in cRB06, cRB13
  • cRX02_1 - Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_2 - Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_3 - Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX03_1 - Random Question Order for cRC04
  • cRX03_2 - Random Question Order for cRC05
  • cRX03_3 - Random Question Order for cRC06
  • cRX03_4 - Random Question Order for cRC07
  • cSA01 - Bush Will Be Good President Even Though Voted for Kerry
  • cSA02 - Election Shows Every Vote Makes a Difference
  • cSA03 - Election Shows Democracy Not Working
  • cSA04 - Permanent Harm Done by Election Process
  • cSA05 - Confident Vote Counted Accurately
  • cSA06 - Confident Vote Will Be Counted Accurately
  • cSA07 - Casting Ballot Was Confusing
  • cSA08 - Certain Vote Cast Accurately
  • cSA09 - Gore Cheated Out of Presidency
  • cUA01 - Congressional District
  • cUA02 - Know Names of Incumbent Senators
  • cUA02_ - Know Names of Incumbent Senators, Verbatim
  • cUA03 - Don’t-Know Prompt for cUA02
  • cUA04 - Favorability of Senator Running for Re-Election
  • cUA05 - House Candidate Voted for in General Election
  • cUA06 - Senate Candidate Voted for in General Election
  • cUA07 - Voted in 2002 Election (Wording #1)
  • cUA08 - Voted in 2002 Election (Wording #2)
  • cUA09 - House Candidate Voted for in 2002
  • cWA01 - Sex
  • cWA02 - Age
  • cWA03 - Education
  • cWA04 - Household Income
  • cWB01 - Employment Status
  • cWB02 - Line of Work (Employed)
  • cWB02_ - Line of Work (Employed), Verbatim
  • cWB03 - Line of Work (Not Currently Employed)
  • cWB03_ - Line of Work (Not Currently Employed), Verbatim
  • cWB04 - Self-Employed
  • cWB05 - Employed by Government
  • cWB06 - Anyone in Household Belongs to Labor Union
  • cWB07 - Any Other Adults in Household Unemployed
  • cWB08 - Know of Anyone Who Lost Job in Past Six Months (Wording #1)
  • cWB09 - Know of Anyone Who Lost Job in Past Six Months (Wording #2)
  • cWB10 - Know of Anyone Who Regained Job in Past Six Months
  • cWB11 - Employed by Business That Exports
  • cWB12 - Employed by Business That Imports
  • cWB13 - Employed by Business That Supplies Imports or Exports
  • cWB14 - Employed by Business That Outsources
  • cWC01 - Hispanic
  • cWC02 - Line of Hispanic Origin
  • cWC02_ - Line of Hispanic Origin, Verbatim
  • cWC03 - Race
  • cWC03_ - Race, Verbatim
  • cWC04 - Born in U.S.
  • cWC05 - U.S. Citizen
  • cWC06 - Years Lived in U.S.
  • cWC07 - Years at Present Address
  • cWD01 - Attend Religious Services
  • cWD02 - Religion (Attend Religious Services)
  • cWD02_ - Religion (Attend Religious Services), Verbatim
  • cWD03 - Religion (Do Not Attend Religious Services)
  • cWD03_ - Religion (Do Not Attend Religious Services), Verbatim
  • cWD04 - Born-Again Christian
  • cWE01 - Anyone in Household Ever Served in Military
  • cWE02_1 - Branch of Military Respondent Ever Served In, 1 of 3
  • cWE02_2 - Branch of Military Respondent Ever Served In, 2 of 3
  • cWE02_3 - Branch of Military Respondent Ever Served In, 3 of 3
  • cWE03_1 - Branch of Military Other Household Member Ever Served In, 1 of 3
  • cWE03_2 - Branch of Military Other Household Member Ever Served In, 2 of 3
  • cWE03_3 - Branch of Military Other Household Member Ever Served In, 3 of 3
  • cWE04 - Anyone in Household Currently in Military
  • cWE05_1 - Branch of Military Respondent Currently Serving In, 1 of 3
  • cWE05_2 - Branch of Military Respondent Currently Serving In, 2 of 3
  • cWE05_3 - Branch of Military Respondent Currently Serving In, 3 of 3
  • cWE06_1 - Branch of Military Other Household Member Currently Serving In, 1 of 3
  • cWE06_2 - Branch of Military Other Household Member Currently Serving In, 2 of 3
  • cWE06_3 - Branch of Military Other Household Member Currently Serving In, 3 of 3
  • cWE07 - Anyone in Household Served in Military Overseas in Past Four Years
  • cWE08_1 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_2 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_3 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_4 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_5 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWF01 - Total Adults in Household
  • cWF02 - Adults Age 18–22 in Household
  • cWF03 - Total Children in Household
  • cWF04 - Children Age 14–17 in Household
  • cWF05 - Children Age 6–13 in Household
  • cWF06 - Children Under Age 5 in Household
  • cWF07 - Marital Status
  • cWF08 - Census Division
  • cWF09 - Metropolitan Statistical Area
  • cWF10 - County
  • cWF11 - Zip Code (Estimated From Phone)
  • cWF12 - Zip Code (Reported by Respondent)
  • cWF13 - Urbanity
  • cWF14 - Media Market
  • cWF15 - Phone Landlines in Household
  • cWF16 - Have Cell Phone
  • cWG01 - Anyone in Household Owns Gun (Wording #1)
  • cWG02 - Anyone in Household Owns Gun (Wording #2)
  • cWG03 - Anyone in Household Belongs to NRA (Wording #1)
  • cWG04 - Anyone in Household Belongs to NRA (Wording #2)
  • cWG05 - Know of Someone Gay or Lesbian
  • cYA01 - Interviewer ID
  • cYA02 - Interviewer Sex
  • cYA03 - Interviewer Race
  • cYA04 - Interview Language
  • cYA05 - Interviewer’s Evaluation of Interview Overall
  • cYA06 - Interviewer’s Evaluation of Respondent’s Political Knowledge
  • Bushannounce
  • interest
  • age
  • liberalism
  • gayfavor
  • xtianfavor
  • protfavor
  • gmfavor
  • fmamdtoppose
  • FMAintensity
  • fmamdtoppose2
  • direction
  • moderate
  • intendtovote
  • registered
  • vpcorr
  • sccorr
  • vetocorr
  • housecorr
  • knowindex
  • unsophisticated
  • morals
  • gop
  • democrat
  • protestant
  • mormon
  • catholic
  • bornagain
  • howoften
  • mass
  • florida
  • california
  • iowa
  • white
  • black
  • hispanic
  • female
  • FMAintensity2
  • consbornagain
  • wbornagain
  • cINT - Interviewing Component
  • cKEY - Respondent ID
  • cHKEY - Household ID
  • cAC - Area Code
  • cST - State (Two-Letter Abbreviation)
  • cSTNUM - State (Numeric Code)
  • cDATE - Interview Date
  • cTIME - Interview Start Time
  • cXA - Random Assignment to Question Module A1 or A2
  • cXB - Random Assignment to Question Module B1, B2, or B3
  • cXC - Random Assignment to Question Module C1, C2, C3, or C4
  • cAA01 - Bush Favorability
  • cAA02 - Bush Job Approval
  • cAA03 - Bush Favorability as Person
  • cAA04 - Bush Cares About People Like Me
  • cAA05 - Bush Inspiring
  • cAA06 - Bush Strong Leader
  • cAA07 - Bush Trustworthy
  • cAA08 - Bush Shares My Values
  • cAA09 - Bush Knowledgeable
  • cAA10 - Bush Reckless
  • cAA11 - Bush Steady
  • cAA12 - Bush Says One Thing, Does Another
  • cAA13 - Bush Has Right Experience
  • cAA14 - Bush Easy to Like
  • cAA15 - Bush Will Make Tough Decisions
  • cAA16 - Bush Has Clear Vision
  • cAA17 - Bush Changes His Mind
  • cAA18 - Bush Too Liberal
  • cAA19 - Bush Too Conservative
  • cAA20 - Bush Out of Touch
  • cAA21 - Bush Stubborn
  • cAA22 - Bush Arrogant
  • cAA23 - Bush Optimistic
  • cAA24 - Bush Effective
  • cAA25 - Bush Decisive
  • cAA26 - Bush Flip-Flops
  • cAA27 - Bush Honest
  • cAA28 - Bush Not Willing to Admit Mistakes
  • cAA29 - Bush Kept Promises
  • cAA30 - Bush Conservative or Liberal
  • cAA31 - Bush Makes Me Angry
  • cAA32 - Bush Makes Me Uneasy
  • cAA33 - Bush Makes Me Afraid
  • cAB01 - Kerry Favorability
  • cAB02 - Kerry Cares About People Like Me
  • cAB03 - Kerry Inspiring
  • cAB04 - Kerry Strong Leader
  • cAB05 - Kerry Trustworthy
  • cAB06 - Kerry Shares My Values
  • cAB07 - Kerry Knowledgeable
  • cAB08 - Kerry Reckless
  • cAB09 - Kerry Steady
  • cAB10 - Kerry Says One Thing, Does Another
  • cAB11 - Kerry Has Right Experience
  • cAB12 - Kerry Easy to Like
  • cAB13 - Kerry Will Make Tough Decisions
  • cAB14 - Kerry Has Clear Vision
  • cAB15 - Kerry Changes His Mind
  • cAB16 - Kerry Too Liberal
  • cAB17 - Kerry Too Conservative
  • cAB18 - Kerry Out of Touch
  • cAB19 - Kerry Stubborn
  • cAB20 - Kerry Arrogant
  • cAB21 - Kerry Optimistic
  • cAB22 - Kerry Effective
  • cAB23 - Kerry Decisive
  • cAB24 - Kerry Flip-Flops
  • cAB25 - Kerry Honest
  • cAB26 - Kerry Not Willing to Admit Mistakes
  • cAB27 - Kerry Conservative or Liberal
  • cAB28 - Kerry Makes Me Angry
  • cAB29 - Kerry Makes Me Uneasy
  • cAB30 - Kerry Makes Me Afraid
  • cAC01 - Cheney Favorability
  • cAC02 - Know Cheney Is Vice Presidential Candidate
  • cAC03 - Cheney Has Right Experience to Be President
  • cAC04 - Edwards Favorability
  • cAC05 - Know Edwards Is Vice Presidential Candidate
  • cAC06 - Edwards Cares About People Like Me
  • cAC07 - Edwards Inspiring
  • cAC08 - Edwards Strong Leader
  • cAC09 - Edwards Trustworthy
  • cAC10 - Edwards Shares My Values
  • cAC11 - Edwards Knowledgeable
  • cAC12 - Edwards Reckless
  • cAC13 - Edwards Has Right Experience to Be President
  • cAC14 - Edwards Conservative or Liberal
  • cAC15 - Nader Favorability
  • cAC16 - Nader Conservative or Liberal
  • cAC17 - Clark Favorability
  • cAC18 - Clark Cares About People Like Me
  • cAC19 - Clark Inspiring
  • cAC20 - Clark Strong Leader
  • cAC21 - Clark Trustworthy
  • cAC22 - Clark Shares My Values
  • cAC23 - Clark Knowledgeable
  • cAC24 - Clark Reckless
  • cAC25 - Clark Conservative or Liberal
  • cAC26 - Dean Favorability
  • cAC27 - Dean Cares About People Like Me
  • cAC28 - Dean Inspiring
  • cAC29 - Dean Strong Leader
  • cAC30 - Dean Trustworthy
  • cAC31 - Dean Shares My Values
  • cAC32 - Dean Knowledgeable
  • cAC33 - Dean Reckless
  • cAC34 - Dean Conservative or Liberal
  • cAC35 - Gephardt Favorability
  • cAC36 - Gephardt Cares About People Like Me
  • cAC37 - Gephardt Inspiring
  • cAC38 - Gephardt Strong Leader
  • cAC39 - Gephardt Trustworthy
  • cAC40 - Gephardt Shares My Values
  • cAC41 - Gephardt Knowledgeable
  • cAC42 - Gephardt Reckless
  • cAC43 - Gephardt Conservative or Liberal
  • cAC44 - Lieberman Favorability
  • cAC45 - Lieberman Cares About People Like Me
  • cAC46 - Lieberman Inspiring
  • cAC47 - Lieberman Strong Leader
  • cAC48 - Lieberman Trustworthy
  • cAC49 - Lieberman Shares My Values
  • cAC50 - Lieberman Knowledgeable
  • cAC51 - Lieberman Reckless
  • cAC52 - Lieberman Conservative or Liberal
  • cAC53 - More Likely to Vote for Moderate or Liberal Democratic Candidate
  • cAC54 - More Likely to Vote for Democratic Candidate With Washington Experience
  • cAC55_1 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2
  • cAC55_2 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2
  • cAC56_1 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2
  • cAC56_2 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2
  • cAC57_1 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2
  • cAC57_2 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2
  • cAC58 - Random Assignment to Democratic Candidates (2/11/04–2/17/04)
  • cAD01 - Ashcroft Favorability
  • cAD02 - Laura Bush Favorability
  • cAD03 - Bill Clinton Favorability
  • cAD04 - Hillary Clinton Favorability
  • cAD05 - Giuliani Favorability
  • cAD06 - Gore Favorability
  • cAD07 - Heinz Kerry Favorability
  • cAD08 - Limbaugh Favorability
  • cAD09 - McCain Favorability
  • cAD10 - Rice Favorability
  • cAD11 - Schwarzenegger Favorability
  • cAD12 - Howard Stern Favorability
  • cAD13_1 - What Jane Fonda Is Known For, 1 of 5
  • cAD13_2 - What Jane Fonda Is Known For, 2 of 5
  • cAD13_3 - What Jane Fonda Is Known For, 3 of 5
  • cAD13_4 - What Jane Fonda Is Known For, 4 of 5
  • cAD13_5 - What Jane Fonda Is Known For, 5 of 5
  • cAD13_ - What Jane Fonda Is Known For, Verbatim
  • cAD14_1 - What Herbert Hoover Is Known For, 1 of 5
  • cAD14_2 - What Herbert Hoover Is Known For, 2 of 5
  • cAD14_3 - What Herbert Hoover Is Known For, 3 of 5
  • cAD14_4 - What Herbert Hoover Is Known For, 4 of 5
  • cAD14_5 - What Herbert Hoover Is Known For, 5 of 5
  • cAD14_ - What Herbert Hoover Is Known For, Verbatim
  • cAD15 - Reagan Accomplishments in Domestic Policy
  • cAD16 - Reagan Accomplishments in Foreign Policy
  • cAD17 - Bush or Kerry More Like Reagan as Politician
  • cAD18 - Bush or Kerry More Like Reagan as Leader
  • cAD19 - Bush or Kerry More Like Reagan as Person
  • cAE01 - Congressional Republicans Job Approval
  • cAE02 - Congressional Democrats Job Approval
  • cAE03 - Labor Unions Favorability
  • cAE04 - Corporations Favorability
  • cAE05 - Feminist Groups Favorability
  • cAE06 - Gay Groups Favorability
  • cAE07 - Environmental Groups Favorability
  • cAE08 - AARP Favorability
  • cAE09 - NRA Favorability
  • cAE10 - Christian Groups Favorability
  • cAE11 - Protestants Favorability
  • cAE12 - Catholics Favorability
  • cAE13 - Jewish People Favorability (Wording #1)
  • cAE14 - Jewish People Favorability (Wording #2)
  • cAE15 - Muslims Favorability
  • cAX01_01 - Random Question Order for cAA01
  • cAX01_02 - Random Question Order for cAB01
  • cAX01_03 - Random Question Order for cAC01
  • cAX01_04 - Random Question Order for cAC04
  • cAX01_05 - Random Question Order for cAC15
  • cAX01_06 - Random Question Order for cAC17
  • cAX01_07 - Random Question Order for cAC26
  • cAX01_08 - Random Question Order for cAC35
  • cAX01_09 - Random Question Order for cAC44
  • cAX01_10 - Random Question Order for cAD01
  • cAX01_11 - Random Question Order for cAD02
  • cAX01_12 - Random Question Order for cAD03
  • cAX01_13 - Random Question Order for cAD04
  • cAX01_14 - Random Question Order for cAD05
  • cAX01_15 - Random Question Order for cAD06
  • cAX01_16 - Random Question Order for cAD07
  • cAX01_17 - Random Question Order for cAD08
  • cAX01_18 - Random Question Order for cAD09
  • cAX01_19 - Random Question Order for cAD10
  • cAX01_20 - Random Question Order for cAD11
  • cAX01_21 - Random Question Order for cAD12
  • cAX01_22 - Random Question Order for cUA04
  • cAX02_1 - Random Question Order for cAA04–cAA28
  • cAX02_2 - Random Question Order for cAB02–cAB26
  • cAX02_3 - Random Question Order for cAC06–cAC12
  • cAX02_4 - Random Question Order for cAC18–cAC24
  • cAX02_5 - Random Question Order for cAC27–cAC33
  • cAX02_6 - Random Question Order for cAC36–cAC42
  • cAX02_7 - Random Question Order for cAC45–cAC51
  • cAX03_01 - Random Question Order for cAA04
  • cAX03_02 - Random Question Order for cAA05
  • cAX03_03 - Random Question Order for cAA06
  • cAX03_04 - Random Question Order for cAA07
  • cAX03_05 - Random Question Order for cAA08
  • cAX03_06 - Random Question Order for cAA09
  • cAX03_07 - Random Question Order for cAA10
  • cAX03_08 - Random Question Order for cAA11
  • cAX03_09 - Random Question Order for cAA12
  • cAX03_10 - Random Question Order for cAA13
  • cAX03_11 - Random Question Order for cAA14
  • cAX03_12 - Random Question Order for cAA15
  • cAX03_13 - Random Question Order for cAA16
  • cAX03_14 - Random Question Order for cAA17
  • cAX03_15 - Random Question Order for cAA18
  • cAX03_16 - Random Question Order for cAA19
  • cAX03_17 - Random Question Order for cAA20
  • cAX03_18 - Random Question Order for cAA21
  • cAX03_19 - Random Question Order for cAA22
  • cAX03_20 - Random Question Order for cAA23
  • cAX03_21 - Random Question Order for cAA24
  • cAX03_22 - Random Question Order for cAA25
  • cAX03_23 - Random Question Order for cAA26
  • cAX03_24 - Random Question Order for cAA27
  • cAX03_25 - Random Question Order for cAA28
  • cAX04_01 - Random Question Order for cAB02
  • cAX04_02 - Random Question Order for cAB03
  • cAX04_03 - Random Question Order for cAB04
  • cAX04_04 - Random Question Order for cAB05
  • cAX04_05 - Random Question Order for cAB06
  • cAX04_06 - Random Question Order for cAB07
  • cAX04_07 - Random Question Order for cAB08
  • cAX04_08 - Random Question Order for cAB09
  • cAX04_09 - Random Question Order for cAB10
  • cAX04_10 - Random Question Order for cAB11
  • cAX04_11 - Random Question Order for cAB12
  • cAX04_12 - Random Question Order for cAB13
  • cAX04_13 - Random Question Order for cAB14
  • cAX04_14 - Random Question Order for cAB15
  • cAX04_15 - Random Question Order for cAB16
  • cAX04_16 - Random Question Order for cAB17
  • cAX04_17 - Random Question Order for cAB18
  • cAX04_18 - Random Question Order for cAB19
  • cAX04_19 - Random Question Order for cAB20
  • cAX04_20 - Random Question Order for cAB21
  • cAX04_21 - Random Question Order for cAB22
  • cAX04_22 - Random Question Order for cAB23
  • cAX04_23 - Random Question Order for cAB24
  • cAX04_24 - Random Question Order for cAB25
  • cAX04_25 - Random Question Order for cAB26
  • cAX05_1 - Random Question Order for cAC06
  • cAX05_2 - Random Question Order for cAC07
  • cAX05_3 - Random Question Order for cAC08
  • cAX05_4 - Random Question Order for cAC09
  • cAX05_5 - Random Question Order for cAC10
  • cAX05_6 - Random Question Order for cAC11
  • cAX05_7 - Random Question Order for cAC12
  • cAX06_1 - Random Question Order for cAC18
  • cAX06_2 - Random Question Order for cAC19
  • cAX06_3 - Random Question Order for cAC20
  • cAX06_4 - Random Question Order for cAC21
  • cAX06_5 - Random Question Order for cAC22
  • cAX06_6 - Random Question Order for cAC23
  • cAX06_7 - Random Question Order for cAC24
  • cAX07_1 - Random Question Order for cAC27
  • cAX07_2 - Random Question Order for cAC28
  • cAX07_3 - Random Question Order for cAC29
  • cAX07_4 - Random Question Order for cAC30
  • cAX07_5 - Random Question Order for cAC31
  • cAX07_6 - Random Question Order for cAC32
  • cAX07_7 - Random Question Order for cAC33
  • cAX08_1 - Random Question Order for cAC36
  • cAX08_2 - Random Question Order for cAC37
  • cAX08_3 - Random Question Order for cAC38
  • cAX08_4 - Random Question Order for cAC39
  • cAX08_5 - Random Question Order for cAC40
  • cAX08_6 - Random Question Order for cAC41
  • cAX08_7 - Random Question Order for cAC42
  • cAX09_1 - Random Question Order for cAC45
  • cAX09_2 - Random Question Order for cAC46
  • cAX09_3 - Random Question Order for cAC47
  • cAX09_4 - Random Question Order for cAC48
  • cAX09_5 - Random Question Order for cAC49
  • cAX09_6 - Random Question Order for cAC50
  • cAX09_7 - Random Question Order for cAC51
  • cCA01 - Country Going in Right Direction (Wording #1)
  • cCA02 - Country Going in Right Direction (Wording #2)
  • cCA03_1 - Most Important Problem (Wording #1), 1 of 5
  • cCA03_2 - Most Important Problem (Wording #1), 2 of 5
  • cCA03_3 - Most Important Problem (Wording #1), 3 of 5
  • cCA03_4 - Most Important Problem (Wording #1), 4 of 5
  • cCA03_5 - Most Important Problem (Wording #1), 5 of 5
  • cCA03_ - Most Important Problem (Wording #1), Verbatim
  • cCA04 - Don’t-Know Prompt for cCA03
  • cCA05_1 - Most Important Problem (Wording #2), 1 of 5
  • cCA05_2 - Most Important Problem (Wording #2), 2 of 5
  • cCA05_3 - Most Important Problem (Wording #2), 3 of 5
  • cCA05_4 - Most Important Problem (Wording #2), 4 of 5
  • cCA05_5 - Most Important Problem (Wording #2), 5 of 5
  • cCA05_ - Most Important Problem (Wording #2), Verbatim
  • cCA06 - Don’t-Know Prompt for cCA05
  • cCA07 - Iraq or Economy More Important in Vote
  • cCB01 - Country’s Economy Today
  • cCB02 - Country’s Economy Last Year
  • cCB03 - Country’s Economy Next Year
  • cCB04 - Personal Economic Situation Today
  • cCB05 - Personal Economic Situation Last Year
  • cCB06 - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy
  • cCB06_ - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim
  • cCB07 - Aware Economy Grew 7 Percent
  • cCB08 - Economy Will Continue to Grow
  • cCB09 - Approve of Bush Handling Economy
  • cCB10 - Bush Policies Are Improving Economy
  • cCB11 - Trust Bush or Kerry on Economy
  • cCB12 - Bush Will Do Better Than Kerry on Economy
  • cCB13 - Favor Reducing Taxes
  • cCB14 - Taxes Will Increase if Bush Elected
  • cCB15 - Taxes Will Increase if Kerry Elected
  • cCB16 - Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)
  • cCB17 - Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)
  • cCB18 - Favor Repealing Bush Tax Cuts for Wealthy
  • cCB19 - Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance
  • cCB20 - Who Has Benefited Most From Bush Tax Cuts
  • cCB21 - Personally Benefited From Bush Tax Cuts
  • cCB22 - Personally Paying More or Less Taxes This Year
  • cCB23 - Why Paying More Taxes This Year
  • cCB24 - Why Paying Less Taxes This Year
  • cCB25 - Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent
  • cCB26 - Don’t-Know Prompt for cCB25
  • cCB27 - Know Income Level at Which Kerry Would Repeal Bush Tax Cuts
  • cCB28 - Don’t-Know Prompt for cCB27
  • cCB29_1 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5
  • cCB29_2 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5
  • cCB29_3 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5
  • cCB29_4 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5
  • cCB29_5 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5
  • cCB30 - Don’t-Know Prompt for cCB29
  • cCB31_1 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5
  • cCB31_2 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5
  • cCB31_3 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5
  • cCB31_4 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5
  • cCB31_5 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5
  • cCB32 - Don’t-Know Prompt for cCB31
  • cCB33 - Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)
  • cCB34 - Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)
  • cCB35 - Favor Eliminating Estate Tax (Wording #2)
  • cCB36 - Favor Reducing Estate Tax
  • cCB37 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)
  • cCB38 - Don’t-Know Prompt for cCB37
  • cCB39 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)
  • cCB40 - Don’t-Know Prompt for cCB39
  • cCB41 - Know if Bush or Kerry Favors Reducing Estate Tax
  • cCB42 - Don’t-Know Prompt for cCB41
  • cCB43 - Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes
  • cCB44 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB45 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB46 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta
  • cCB47 - Don’t-Know Prompt for cCB46
  • cCB48 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co
  • cCB49 - Don’t-Know Prompt for cCB48
  • cCB50 - Kerry Wants to Raise Taxes $900 Billion
  • cCB51 - Kerry Voted for Higher Taxes 350 Times
  • cCB52 - Kerry Wants to Raise Gas Tax
  • cCB53 - Bush Raided Social Security for Tax Cuts
  • cCB54 - Favor Doing More to Balance Budget
  • cCB55 - Tax Cuts or Spending More Responsible for Deficit
  • cCB55_ - Tax Cuts or Spending More Responsible for Deficit, Verbatim
  • cCB56 - Domestic or Foreign Spending More Responsible for Deficit
  • cCB57 - Best Way to Reduce Deficit
  • cCB57_ - Best Way to Reduce Deficit, Verbatim
  • cCB58 - Domestic or Foreign Spending Cuts Best Way to Reduce Deficit
  • cCB59 - Know if Bush or Kerry Favors Cutting Deficit in Half
  • cCB60 - Don’t-Know Prompt for cCB59
  • cCB61 - Trust Republicans or Democrats on Deficit
  • cCB62 - Jobs Available in Community
  • cCB63 - Know Number of Jobs Gained Under Bush
  • cCB64 - Three Million Jobs Lost Under Bush
  • cCB65 - Favor Increasing Minimum Wage
  • cCB66 - Know if Bush or Kerry Favors Increasing Minimum Wage
  • cCB67 - Don’t-Know Prompt for cCB66
  • cCB68 - Familiar With New Overtime Regulations
  • cCB69 - New Overtime Regulations Will Increase Personal Pay
  • cCB70 - Who Will Benefit Most From New Overtime Regulations
  • cCB71 - Favor Making Union Organizing Easier (No Strongly Follow-Up)
  • cCB72 - Favor Making Union Organizing Easier (Strongly Follow-Up)
  • cCB73 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)
  • cCB74 - Don’t-Know Prompt for cCB73
  • cCB75 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)
  • cCB76 - Don’t-Know Prompt for cCB75
  • cCB77 - Trade Has Improved U.S. Economy
  • cCB78 - Trade Has Improved Personal Economic Situation
  • cCB79 - Favor Government Encouraging Trade
  • cCB80 - Bush Favorable to Trade
  • cCB81 - Kerry Favorable to Trade
  • cCB82 - Favor More Trade Agreements
  • cCB83_1 - Know Democratic Candidate Who Opposes NAFTA, 1 of 5
  • cCB83_2 - Know Democratic Candidate Who Opposes NAFTA, 2 of 5
  • cCB83_3 - Know Democratic Candidate Who Opposes NAFTA, 3 of 5
  • cCB83_4 - Know Democratic Candidate Who Opposes NAFTA, 4 of 5
  • cCB83_5 - Know Democratic Candidate Who Opposes NAFTA, 5 of 5
  • cCB84 - Don’t-Know Prompt for cCB83
  • cCB85 - Favor Government Encouraging Outsourcing
  • cCB86 - Bush or Kerry Better at Preventing Outsourcing
  • cCB87 - Bush Will Do Better Than Kerry at Preventing Outsourcing
  • cCB88 - Bush Favors Sending Jobs Overseas
  • cCC01 - Favor Government Controlling Health Insurance Costs
  • cCC02 - Favor Government Spending More on Health Insurance
  • cCC03 - Favor Government Health Insurance for Children (No Strongly Follow-Up)
  • cCC04 - Favor Government Health Insurance for Children (Strongly Follow-Up)
  • cCC05 - Favor Government Health Insurance for Workers (No Strongly Follow-Up)
  • cCC06 - Favor Government Health Insurance for Workers (Strongly Follow-Up)
  • cCC07 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC08 - Don’t-Know Prompt for cCC07
  • cCC09 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC10 - Don’t-Know Prompt for cCC09
  • cCC11_1 - Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5
  • cCC11_2 - Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5
  • cCC11_3 - Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5
  • cCC11_4 - Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5
  • cCC11_5 - Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5
  • cCC12 - Don’t-Know Prompt for cCC11
  • cCC13_1 - Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5
  • cCC13_2 - Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5
  • cCC13_3 - Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5
  • cCC13_4 - Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5
  • cCC13_5 - Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5
  • cCC14 - Don’t-Know Prompt for cCC13
  • cCC15 - Favor Government Prescription Coverage for Seniors
  • cCC16 - Favor Congress Passing Medicare Prescription Law
  • cCC17 - Favor Medicare Prescription Law (Wording #1)
  • cCC18 - Favor Medicare Prescription Law (Wording #2)
  • cCC19 - Favor Medicare Prescription Law Despite Counterarguments
  • cCC20 - Oppose Medicare Prescription Law Despite Counterarguments
  • cCC21 - Seniors or Companies Will Benefit More From Medicare Prescription Law
  • cCC22 - Know if Bush or Kerry Favors Medicare Prescription Law
  • cCC23 - Don’t-Know Prompt for cCC22
  • cCC24 - Favor Re-Importing Drugs (No Strongly Follow-Up)
  • cCC25 - Favor Re-Importing Drugs (Strongly Follow-Up)
  • cCC26 - Know if Bush or Kerry Favors Re-Importing Drugs
  • cCC27 - Don’t-Know Prompt for cCC26
  • cCC28 - Know if Bush or Kerry Favors Negotiating With Drug Companies
  • cCC29 - Don’t-Know Prompt for cCC28
  • cCC30 - Bush Responsible for Flu Vaccine Shortage
  • cCC31 - Kerry Responsible for Flu Vaccine Shortage
  • cCC32 - Favor Social Security in Stock Market (Strongly Follow-Up)
  • cCC33 - Favor Social Security in Stock Market (No Strongly Follow-Up)
  • cCC34 - Know if Bush or Kerry Favors Social Security in Stock Market
  • cCC35 - Don’t-Know Prompt for cCC34
  • cCC36 - Familiar With No Child Left Behind
  • cCC37 - No Child Left Behind Has Improved Schools (Wording #1)
  • cCC38 - No Child Left Behind Has Improved Schools (Wording #2)
  • cCC39 - Favor School Vouchers
  • cCC40 - Favor Federal Assistance to Schools
  • cCC41 - Favor Government Trying to Reduce Income Differences
  • cCD01 - U.S. Is Regarded Differently Because of Bush
  • cCD02 - Matters How U.S. Is Regarded Because of Bush
  • cCD03 - Favor Spending on Military
  • cCD04 - Trust Bush or Kerry to Be Commander-in-Chief
  • cCD05 - Bush Will Do Better Than Kerry as Commander-in-Chief
  • cCD06 - U.S. Too Involved in Trouble Spots Other Than Iraq
  • cCD07 - Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)
  • cCD08 - Favor Moving Troops From Europe and Korea (Strongly Follow-Up)
  • cCD09 - Know if Bush or Kerry Favors Moving Troops From Europe and Korea
  • cCD10 - Don’t-Know Prompt for cCD09
  • cCD11 - Favor Reinstating Draft
  • cCD12 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD13 - Don’t-Know Prompt for cCD12
  • cCD14 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD15 - Don’t-Know Prompt for cCD14
  • cCD16 - Think Bush Will Reinstate Draft
  • cCD17 - Think Kerry Will Reinstate Draft
  • cCD18 - Veterans Getting Health Care They Were Promised
  • cCD19 - Approve of Bush Handling Iraq
  • cCD20 - Favor Spending on Iraq and Afghanistan
  • cCD21 - Iraq War Was Worth It
  • cCD22 - Iraq War Was Worth It Despite Counterarguments
  • cCD23 - Iraq War Was Not Worth It Despite Counterarguments
  • cCD24 - U.S. Too Quick to Go to War With Iraq
  • cCD25 - Cost of Iraq War Was Necessary
  • cCD26 - Iraq Had WMDs
  • cCD27 - Know if Bush or Kerry Favors Spending on Iraq and Afghanistan
  • cCD28 - Don’t-Know Prompt for cCD27
  • cCD29_1 - Know Democratic Candidate Who Opposed Iraq War, 1 of 5
  • cCD29_2 - Know Democratic Candidate Who Opposed Iraq War, 2 of 5
  • cCD29_3 - Know Democratic Candidate Who Opposed Iraq War, 3 of 5
  • cCD29_4 - Know Democratic Candidate Who Opposed Iraq War, 4 of 5
  • cCD29_5 - Know Democratic Candidate Who Opposed Iraq War, 5 of 5
  • cCD30 - Don’t-Know Prompt for cCD29
  • cCD31 - Iraq War Reduced Risk of Terrorism
  • cCD32 - Hussein Helped Al Qaeda With 9/11
  • cCD33 - Hussein Linked to Al Qaeda
  • cCD34 - Favor Spending More on Rebuilding Iraq
  • cCD35 - Favor Keeping Troops in Iraq Until Government Stable
  • cCD36 - U.S. or New Government Will Have More Power in Iraq
  • cCD37 - U.S. or New Government Will Have Much More Power in Iraq
  • cCD38 - Power Transfer in Iraq Will Increase Risk of Terrorism
  • cCD39 - When Troops Should Return Home
  • cCD40 - When Troops Will Return Home
  • cCD41 - Know How Many Troops in Iraq
  • cCD41_ - Know How Many Troops in Iraq, Verbatim
  • cCD42 - Bush Has Plan for Iraq
  • cCD43 - Kerry Has Plan for Iraq
  • cCD44 - Bush Had Plan for Iraq When Voted
  • cCD45 - Kerry Had Plan for Iraq When Voted
  • cCD46 - Soldiers Followed Orders to Mistreat Iraqi Prisoners
  • cCD47 - Pentagon Acted Property on Iraqi Prisoner Treatment
  • cCD48 - Bush Should Apologize for Iraqi Prisoner Treatment
  • cCD49 - Rumsfeld Should Resign Over Iraqi Prisoner Treatment
  • cCD50 - Regular Military Sent to Iraq Properly Prepared
  • cCD51 - Guard and Reserves Sent to Iraq Properly Prepared
  • cCD52 - Pentagon Overburdened Guard and Reserves
  • cCD53 - Important That Democrats Nominate Iraq War Supporter
  • cCD54 - Halliburton Awarded Contracts Because of Cheney
  • cCD55 - Bush Responsible for Missing Explosives in Iraq
  • cCD56 - Favor Doing More to Protect Terrorism Targets
  • cCD57 - Favor Spending More on Homeland Security
  • cCD58 - Feel Safer Because of Government Efforts After 9/11 (Wording #1)
  • cCD59 - Feel Safer Because of Government Efforts After 9/11 (Wording #2)
  • cCD60 - Chance of Terrorist Attack in Next Year
  • cCD61 - Approve of Bush Handling Terrorism
  • cCD62 - Trust Bush or Kerry on Terrorism
  • cCD63 - Bush Will Do Better Than Kerry on Terrorism
  • cCD64 - Clinton or Bush Took Terrorism Threat More Seriously
  • cCD65 - Favor Doing More About Potential Terrorists
  • cCD66 - Approve of Patriot Act
  • cCD67 - Patriot Act Is Good for Country
  • cCD68 - Know if Bush or Kerry Favors Patriot Act (Wording #1)
  • cCD69 - Don’t-Know Prompt for cCD68
  • cCD70 - Know if Bush or Kerry Favors Patriot Act (Wording #2)
  • cCD71 - Don’t-Know Prompt for cCD70
  • cCD72 - Favor 9/11 Recommendations
  • cCD73 - Know if Bush Favors 9/11 Recommendations
  • cCD74 - Know if Kerry Favors 9/11 Recommendations
  • cCD75 - Bin Laden Wants Bush or Kerry to Win
  • cCD76 - Bush Did Everything Possible Against Al Qaeda Before 9/11
  • cCD77 - Bush Responsible for Bin Laden at Large
  • cCD78 - Bush or Kerry Has Plan for Bin Laden
  • cCD79 - Bush or Kerry Better at Protecting Soviet Nuclear Materials
  • cCD80 - Don’t-Know Prompt for cCD79
  • cCD81 - Job Bush Did Protecting Soviet Nuclear Materials
  • cCD82 - Favor Restricting Immigration
  • cCE01 - Favor Banning All Abortions
  • cCE02 - Favor Making Abortion More Difficult
  • cCE03 - Know if Bush or Kerry Favors Making Abortion More Difficult
  • cCE04 - Don’t-Know Prompt for cCE03
  • cCE05 - Favor Banning Late-Term Abortions (Wording #1)
  • cCE06 - Favor Banning Late-Term Abortions (Wording #2)
  • cCE07 - Favor Stem Cell Funding (Wording #1)
  • cCE08 - Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)
  • cCE09 - Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)
  • cCE10 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)
  • cCE11 - Don’t-Know Prompt for cCE10
  • cCE12 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)
  • cCE13 - Don’t-Know Prompt for cCE12
  • cCE14 - Favor Additional Stem Cell Lines
  • cCE15 - Know if Bush or Kerry Favors Additional Stem Cell Lines
  • cCE16 - Don’t-Know Prompt for cCE15
  • cCE17 - Favor Federal Marriage Amendment (Wording #1)
  • cCE18 - Favor Federal Marriage Amendment (Wording #2)
  • cCE19 - Favor Federal Marriage Amendment (Wording #3)
  • cCE20 - Favor Federal Marriage Amendment (Wording #4)
  • cCE21 - Favor Federal Marriage Amendment (Wording #5)
  • cCE24 - Favor State Law Allowing Same-Sex Marriage (Wording #1)
  • cCE25 - Favor State Law Allowing Same-Sex Marriage (Wording #2)
  • cCE26 - Favor State Law Allowing Civil Unions
  • cCE27 - More Likely to Vote for Candidate Favoring Same-Sex Unions
  • cCE28 - Favor Gays in Military
  • cCE29 - Favor Prohibiting Employment Discrimination Against Gays
  • cCE30 - Offended by Redskins’ Name
  • cCE31 - Favor Gun Control
  • cCE32 - Favor Congress Extending Assault Weapons Ban
  • cCE33 - Favor Assault Weapons Ban (No Strongly Follow-Up)
  • cCE34 - Favor Assault Weapons Ban (Strongly Follow-Up)
  • cCE35 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)
  • cCE36 - Don’t-Know Prompt for cCE35
  • cCE37 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)
  • cCE38 - Don’t-Know Prompt for cCE37
  • cCF02 - Bush or Kerry Would Do More on Foreign Oil
  • cCF03 - Don’t-Know Prompt for cCF02
  • cCF04 - Bush Will Do More Than Kerry on Foreign Oil
  • cCF05 - Gas Prices Caused Personal Financial Hardship (Wording #1)
  • cCF06 - Gas Prices Caused Personal Financial Hardship (Wording #2)
  • cCF07 - Intend to Change Vacation Plans Because of Gas Prices
  • cCF08 - Favor Government Doing More on Environment
  • cCF09 - Global Warming Is Serious Problem
  • cCG01 - Favor Limiting Lawsuits (No Strongly Follow-Up)
  • cCG02 - Favor Limiting Lawsuits (Strongly Follow-Up)
  • cCG03 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)
  • cCG04 - Don’t-Know Prompt for cCG03
  • cCG05 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)
  • cCG06 - Don’t-Know Prompt for cCG05
  • cCG07 - Favor Limiting Malpractice Awards
  • cCG08 - Know if Bush or Kerry Favors Limiting Malpractice Awards
  • cCG09 - Don’t-Know Prompt for cCG08
  • cCH01 - Supreme Court Important in Vote
  • cCH02 - Comfortable With Bush Making Supreme Court Nominations
  • cCH03 - Comfortable With Kerry Making Supreme Court Nominations
  • cCH04 - Know Supreme Court Salary
  • cCH05 - Don’t-Know Prompt for cCH04
  • cCH06 - Supreme Court Salary Too High
  • cCH07 - Know President’s Salary
  • cCH08 - Don’t-Know Prompt for cCH07
  • cCH09 - President’s Salary Too High
  • cDA01 - Important That Democrats Nominate Vietnam Veteran
  • cDA02_1 - Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA02_2 - Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA02_3 - Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA02_4 - Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA02_5 - Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA03 - Don’t-Know Prompt for cDA02
  • cDA04_1 - Know Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA04_2 - Know Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA04_3 - Know Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA04_4 - Know Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA04_5 - Know Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA05 - Don’t-Know Prompt for cDA04
  • cDA06 - Approve of Kerry’s Anti-War Activities
  • cDA07 - Kerry’s Anti-War Activities Will Affect Vote
  • cDA08 - Kerry Earned Vietnam Medals
  • cDA09 - Familiar With Kerry’s Anti-War Statements
  • cDA10 - Approve of Kerry’s Anti-War Statements (Wording #1)
  • cDA11 - Approve of Kerry’s Anti-War Statements (Wording #2)
  • cDA12 - Watched or Familiar With Swift Boat Ad
  • cDA13 - Swift Boat Ad Believable
  • cDA14 - Bush Campaign Behind Swift Boat Ad
  • cDA15 - Bush Fulfilled National Guard Obligations
  • cDA16 - Bush in National Guard Will Affect Vote
  • cDA17 - Know if Bush or Kerry Is Former Prosecutor
  • cDA18 - Don’t-Know Prompt for cDA17
  • cDA19_1 - Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5
  • cDA19_2 - Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5
  • cDA19_3 - Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5
  • cDA19_4 - Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5
  • cDA19_5 - Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5
  • cDA20 - Don’t-Know Prompt for cDA19
  • cDA21_1 - Know Democratic Candidate Who Was House Majority Leader, 1 of 5
  • cDA21_2 - Know Democratic Candidate Who Was House Majority Leader, 2 of 5
  • cDA21_3 - Know Democratic Candidate Who Was House Majority Leader, 3 of 5
  • cDA21_4 - Know Democratic Candidate Who Was House Majority Leader, 4 of 5
  • cDA21_5 - Know Democratic Candidate Who Was House Majority Leader, 5 of 5
  • cDA22 - Don’t-Know Prompt for cDA21
  • cDA23_1 - Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5
  • cDA23_2 - Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5
  • cDA23_3 - Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5
  • cDA23_4 - Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5
  • cDA23_5 - Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5
  • cDA24 - Don’t-Know Prompt for cDA23
  • cDA25_1 - Know Democratic Candidate Who Was a General, 1 of 5
  • cDA25_2 - Know Democratic Candidate Who Was a General, 2 of 5
  • cDA25_3 - Know Democratic Candidate Who Was a General, 3 of 5
  • cDA25_4 - Know Democratic Candidate Who Was a General, 4 of 5
  • cDA25_5 - Know Democratic Candidate Who Was a General, 5 of 5
  • cDA26 - Don’t-Know Prompt for cDA25
  • cDA27_1 - Know Democratic Candidate Who Was Governor of Vermont, 1 of 5
  • cDA27_2 - Know Democratic Candidate Who Was Governor of Vermont, 2 of 5
  • cDA27_3 - Know Democratic Candidate Who Was Governor of Vermont, 3 of 5
  • cDA27_4 - Know Democratic Candidate Who Was Governor of Vermont, 4 of 5
  • cDA27_5 - Know Democratic Candidate Who Was Governor of Vermont, 5 of 5
  • cDA28 - Don’t-Know Prompt for cDA27
  • cDA29_1 - Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5
  • cDA29_2 - Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5
  • cDA29_3 - Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5
  • cDA29_4 - Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5
  • cDA29_5 - Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5
  • cDA30 - Don’t-Know Prompt for cDA29
  • cEA01 - Watched Network News in Past Week
  • cEA02 - Network News Channel Watched Most
  • cEA03 - Watched Cable News in Past Week
  • cEA04 - Cable News Channel Watched Most
  • cEA04_ - Cable News Channel Watched Most, Verbatim
  • cEA05 - Attention to Political News on Network or Cable TV in Past Week
  • cEA06 - Watched Local News in Past Week
  • cEA07 - Attention to Political News on Local TV in Past Week
  • cEA08 - Watched Spanish News in Past Week
  • cEA09 - Watched BET News in Past Week
  • cEA10 - Read Newspaper in Past Week
  • cEA11 - Newspaper Read Most
  • cEA11_ - Newspaper Read Most, Verbatim
  • cEA12 - Read Wall Street Journal Editorial Page
  • cEA13 - Attention to Political News in Newspaper in Past Week
  • cEA14 - Listened to NPR in Past Week
  • cEA15 - Listened to Talk Radio Other Than NPR in Past Week
  • cEA16_1 - Talk Radio Programs Listened to in Past Week, 1 of 5
  • cEA16_2 - Talk Radio Programs Listened to in Past Week, 2 of 5
  • cEA16_3 - Talk Radio Programs Listened to in Past Week, 3 of 5
  • cEA16_4 - Talk Radio Programs Listened to in Past Week, 4 of 5
  • cEA16_5 - Talk Radio Programs Listened to in Past Week, 5 of 5
  • cEA16_ - Talk Radio Programs Listened to in Past Week, Verbatim
  • cEA17 - Talk Radio Program Listen to Most
  • cEA17_ - Talk Radio Program Listen to Most, Verbatim
  • cEA18 - Watched Late-Night Comedy in Past Week
  • cEA19 - Late-Night Comedy Program Watched Most (Wording #1)
  • cEA19_ - Late-Night Comedy Program Watched Most (Wording #1), Verbatim
  • cEA20 - Late-Night Comedy Program Watched Most (Wording #2)
  • cEA20_ - Late-Night Comedy Program Watched Most (Wording #2), Verbatim
  • cEA21 - Have Online Access
  • cEA22 - Accessed Political Information Online in Past Week (Wording #1)
  • cEA23 - Accessed Political Information Online in Past Week (Wording #2)
  • cEA24_1 - Source of Online Political Information in Past Week, 1 of 3
  • cEA24_2 - Source of Online Political Information in Past Week, 2 of 3
  • cEA24_3 - Source of Online Political Information in Past Week, 3 of 3
  • cEA24_ - Source of Online Political Information in Past Week, Verbatim
  • cEA25 - Media Have Decided Democratic Frontrunner
  • cEA26 - Democratic Candidate Who Media Think Is Frontrunner
  • cEA27_1 - Source of Information About General Election Results, 1 of 5
  • cEA27_2 - Source of Information About General Election Results, 2 of 5
  • cEA27_3 - Source of Information About General Election Results, 3 of 5
  • cEA27_4 - Source of Information About General Election Results, 4 of 5
  • cEA27_5 - Source of Information About General Election Results, 5 of 5
  • cEA27_ - Source of Information About General Election Results, Verbatim
  • cEA28 - TV Channel Watched for General Election Coverage
  • cFA03 - Watched Sept. 30 Bush-Kerry Debate
  • cFA04 - TV Channel Watched for Sept. 30 Bush-Kerry Debate
  • cFA04_ - TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim
  • cFA05 - Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)
  • cFA06 - Bush Did Better Than Expected in Sept. 30 Debate
  • cFA07 - Kerry Did Better Than Expected in Sept. 30 Debate
  • cFA08 - Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)
  • cFA09 - Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)
  • cFA10 - Watched Oct. 8 Bush-Kerry Debate
  • cFA11 - TV Channel Watched for Oct. 8 Bush-Kerry Debate
  • cFA11_ - TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim
  • cFA12 - Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)
  • cFA13 - Bush Did Better Than Expected in Oct. 8 Debate
  • cFA14 - Kerry Did Better Than Expected in Oct. 8 Debate
  • cFA15 - Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)
  • cFA16 - Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)
  • cFA17 - Watched Oct. 13 Bush-Kerry Debate
  • cFA18 - TV Channel Watched for Oct. 13 Bush-Kerry Debate
  • cFA18_ - TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim
  • cFA19 - Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)
  • cFA20 - Bush Did Better Than Expected in Oct. 13 Debate
  • cFA21 - Kerry Did Better Than Expected in Oct. 13 Debate
  • cFA22 - Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)
  • cFA23 - Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)
  • cFA24 - Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate
  • cFA25 - Watched Cheney-Edwards Debate
  • cFA26 - TV Channel Watched for Cheney-Edwards Debate
  • cFA26_ - TV Channel Watched for Cheney-Edwards Debate, Verbatim
  • cFA27 - Cheney or Edwards Did Best in Debate (Watched Debate)
  • cFA28 - Cheney Did Better Than Expected in Debate
  • cFA29 - Edwards Did Better Than Expected in Debate
  • cFA30 - Familiar With Cheney-Edwards Debate (Did Not Watch)
  • cFA31 - Cheney or Edwards Did Best in Debate (Did Not Watch)
  • cFA37 - Watched Any General Election Debates
  • cFB01 - Know When Democratic Convention Held
  • cFB02 - Watched Clinton’s Convention Speech
  • cFB03 - Watched Edwards’ Convention Speech
  • cFB04 - Watched Kerry’s Convention Speech
  • cFB05 - Watched Coverage of Democratic Convention
  • cFB06 - Know When Republican Convention Held
  • cFB07 - Watched Zell Miller’s Convention Speech
  • cFB08 - Watched Cheney’s Convention Speech
  • cFB09 - Watched Bush’s Convention Speech
  • cFB10 - Watched Coverage of Republican Convention
  • cFB11 - Convention That Was More Accurate in Describing Other
  • cFC01 - Watched Campaign Ads in Past Week
  • cFC02 - Typically Watch Political Ads
  • cFC03 - Familiar With Bush Campaign Ads
  • cFC04 - Appropriate for Bush Ads to Show 9/11 Damage
  • cFC05 - Appropriate for Bush Ads to Show 9/11 Firefighters
  • cFC06 - Watched Campaign Ads Recently
  • cFC07 - Watched Bush or Kerry Campaign Ads Recently
  • cFC08 - Learning Anything New and True From Campaign Ads
  • cFC09 - Learning Anything New From Campaign Ads
  • cFC10 - Campaign Ads Affected Vote
  • cFD03 - Contacted by Democratic Campaign in Person or by Phone
  • cFD04 - Contacted by Democratic Campaign in Person
  • cFD05 - Contacted by Democratic Campaign by Phone
  • cFD06 - Contacted by Democratic Campaign by Live or Recorded Phone Call
  • cFD07 - Number of Phone Calls From Democratic Campaign
  • cFD08 - Contacted About Election by Group Other Than Democratic Campaign
  • cFD09_1 - Reminded to Vote, 1 of 3
  • cFD09_2 - Reminded to Vote, 2 of 3
  • cFD09_3 - Reminded to Vote, 3 of 3
  • cFD10 - Reminded to Vote by Republicans or Democrats
  • cFD10_ - Reminded to Vote by Republicans or Democrats, Verbatim
  • cFD11 - Reminded to Vote by Advocate for Candidate
  • cFD12_1 - Offered Help to Get Early Ballot, 1 of 4
  • cFD12_2 - Offered Help to Get Early Ballot, 2 of 4
  • cFD12_3 - Offered Help to Get Early Ballot, 3 of 4
  • cFD12_4 - Offered Help to Get Early Ballot, 4 of 4
  • cFD13 - Offered Help to Get Early Ballot by Republicans or Democrats
  • cFD13_ - Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim
  • cFD14 - Offered Help to Get Early Ballot by Advocate for Candidate
  • cFD15 - Received Campaign Brochures
  • cFD16 - Received Campaign Brochures by Mail
  • cFD17 - Received Campaign Emails
  • cFD18 - Received Republican Email Link to Video About Kerry
  • cFD19 - Watched Republican Video on Kerry
  • cFD20 - Republican Video Changed Opinion of Kerry
  • cFE01 - Heard or Read About 2004 State of the Union
  • cFE02 - Watched Bush on “Meet the Press”
  • cFE03 - Familiar With Bush on “Meet the Press” (Did Not Watch)
  • cFE04 - “Meet the Press” Changed Opinion of Bush
  • cFE05 - Watched 9/11 Commission Hearings
  • cFE06 - Familiar With 9/11 Commission Hearings (Did Not Watch)
  • cFE07 - Watched Rice’s Testimony to 9/11 Commission
  • cFE08 - Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)
  • cFE09 - Familiar With Richard Clarke’s Book
  • cFE10 - Believe Clarke’s Charges
  • cFE11 - Watched Reagan Funeral
  • cFE12 - Watched “Fahrenheit 911”
  • cFE13 - “Fahrenheit 911” Changed Opinion of Bush
  • cFE14 - Intend to Watch “Fahrenheit 911”
  • cFE15 - Watched “The Day After Tomorrow”
  • cFF01 - Candidates Criticizing Opponents
  • cFF02 - Candidates Talking About What Would Do if Elected
  • cFF03 - Candidates Talking About Solving Problems
  • cFF04 - Bush Criticizing Opponent
  • cFF05 - Kerry Criticizing Opponent
  • cFF06 - Bush Talking About Solving Problems
  • cFF07 - Kerry Talking About Solving Problems
  • cFF08 - Bush Criticizing Opponent or Talking About Solving Problems
  • cFF09 - Kerry Criticizing Opponent or Talking About Solving Problems
  • cFF10 - Honesty of Bush Campaign
  • cFF11 - Honesty of Kerry Campaign
  • cFF12 - Learned Enough About Democratic Candidates and Issues So Far
  • cFF13 - Learned Enough About Candidates and Issues Before Primary
  • cFF14 - Learned Enough About Bush So Far
  • cFF15 - Learned Enough About Kerry So Far
  • cFF16 - Learned Enough About Candidates and Issues So Far
  • cFF17 - Learned Enough About Candidates and Issues Before General Election
  • cKA01 - Follow Politics
  • cKA02 - Following Democratic Campaign
  • cKA03 - Thought About Primary
  • cKA04 - Following Campaign
  • cKA05 - Interested in Campaign
  • cKB01 - Discussed Politics With Family or Friends in Past Week
  • cKB02 - Type of Politics Discussed With Family or Friends in Past Week
  • cKB03 - Discussed Politics at Work in Past Week
  • cKB04 - Type of Politics Discussed at Work in Past Week
  • cKB05 - Discussed Politics Online in Past Week
  • cKB06 - Type of Politics Discussed Online in Past Week
  • cKC01 - Intend to Participate in Campaign
  • cKC02 - Tried to Influence Others’ Voting
  • cKC03 - Attended Political Meetings
  • cKC04 - Did Other Work for Candidate
  • cKC05 - Donated Money to Candidate
  • cKC06_1 - Method of Donating Money to Candidate, 1 of 4
  • cKC06_2 - Method of Donating Money to Candidate, 2 of 4
  • cKC06_3 - Method of Donating Money to Candidate, 3 of 4
  • cKC06_4 - Method of Donating Money to Candidate, 4 of 4
  • cKC06_ - Method of Donating Money to Candidate, Verbatim
  • cKC07 - Wore Campaign Button or Displayed Sign
  • cMA01 - Party ID
  • cMA01_ - Party ID, Verbatim
  • cMA02 - Strength of Party ID
  • cMA03 - Lean Republican or Democrat
  • cMA04 - Lean Independent or Democrat
  • cMA05 - Lean Independent or Republican
  • cMA06 - Conservative or Liberal
  • cMA07 - Conservative or Liberal on Social Issues
  • cMA08 - Conservative or Liberal on Economic Issues
  • cMB01 - Trust Government (Wording #1)
  • cMB02 - Trust Government (Wording #2)
  • cMB03 - Trust Business Executives
  • cMB04 - Trust Elected Officials
  • cMB05 - Confidence in Executive Branch
  • cMB06 - Confidence in Legislative Branch
  • cMB07 - Confidence in Judicial Branch
  • cMB08 - Confidence in State Elected Officials
  • cMB09 - Confidence in Local Government
  • cMB10 - Politics Too Complicated
  • cMB11 - People Like Me Have No Say in Government
  • cMB12 - Duty to Keep Informed About Politics
  • cMB13 - Does Not Matter if Do Not Follow Politics
  • cMB14 - Presidents Try to Keep Promises
  • cMB15 - Candidates Try to Keep Promises
  • cMB16 - Presidents Make Decisions in Nation’s Interest
  • cMC01 - Know Cheney Is Vice President
  • cMC01_ - Know Cheney Is Vice President, Verbatim
  • cMC02 - Don’t-Know Prompt for cMC01
  • cMC03 - Know Supreme Court Determines Constitutionality of Laws
  • cMC04 - Don’t-Know Prompt for cMC03
  • cMC05 - Know Two-Thirds Majority Overrides Veto
  • cMC05_ - Know Two-Thirds Majority Overrides Veto, Verbatim
  • cMC06 - Don’t-Know Prompt for cMC05
  • cMC07 - Know Republicans Are Majority Party in House
  • cMC08 - Don’t-Know Prompt for cMC07
  • cMC09 - Know Republican Party Is More Conservative
  • cMC10 - Don’t-Know Prompt for cMC09
  • cNA01 - Chance Clark Will Win Primary
  • cNA02 - Chance Dean Will Win Primary
  • cNA03 - Chance Edwards Will Win Primary
  • cNA04 - Chance Gephardt Will Win Primary
  • cNA05 - Chance Kerry Will Win Primary
  • cNA06 - Chance Lieberman Will Win Primary
  • cNA07_1 - Know Candidate Who Won Most Primaries, 1 of 5
  • cNA07_2 - Know Candidate Who Won Most Primaries, 2 of 5
  • cNA07_3 - Know Candidate Who Won Most Primaries, 3 of 5
  • cNA07_4 - Know Candidate Who Won Most Primaries, 4 of 5
  • cNA07_5 - Know Candidate Who Won Most Primaries, 5 of 5
  • cNA08 - Don’t-Know Prompt for cNA07
  • cNA09 - Chance Clark Will Beat Bush
  • cNA10 - Chance Bush Will Beat Clark
  • cNA11 - Random Assignment to cNA09–cNA10
  • cNA12 - Chance Dean Will Beat Bush
  • cNA13 - Chance Bush Will Beat Dean
  • cNA14 - Random Assignment to cNA12–cNA13
  • cNA15 - Chance Edwards Will Beat Bush
  • cNA16 - Chance Bush Will Beat Edwards
  • cNA17 - Random Assignment to cNA15–cNA16
  • cNA18 - Chance Gephardt Will Beat Bush
  • cNA19 - Chance Bush Will Beat Gephardt
  • cNA20 - Random Assignment to cNA18–cNA19
  • cNA21 - Chance Kerry Will Beat Bush
  • cNA22 - Chance Bush Will Beat Kerry
  • cNA23 - Random Assignment to cNA21–cNA22
  • cNA24 - Chance Lieberman Will Beat Bush
  • cNA25 - Chance Bush Will Beat Lieberman
  • cNA26 - Random Assignment to cNA24–cNA25
  • cNB01 - Know Gore’s Endorsement for Primary
  • cNB02 - Gore’s Endorsement of Dean Affects Vote
  • cNB03 - Know Bradley’s Endorsement for Primary
  • cNB11 - Know Madonna’s Endorsement for Primary
  • cNB12 - Know if Bush or Gore Has More Support From Retired Military Leaders
  • cNB13 - Don’t-Know Prompt for cNB12
  • cNB14 - General Election Endorsement by Newspaper Read Most
  • cNB15 - General Election Endorsement Affected Vote
  • cNB15_ - General Election Endorsement Affected Vote, Verbatim
  • cRA01 - Registered to Vote
  • cRA02 - First Time Registered to Vote
  • cRB01 - Democratic Presidential Primary Election Status
  • cRB03 - Intend to Vote in Primary
  • cRB04 - Chance of Voting in Primary
  • cRB05 - Intend to Vote in Republican or Democratic Primary
  • cRB06 - Candidate Intend to Vote for in Democratic Primary
  • cRB07 - Chance of Voting for Different Candidate in Democratic Primary
  • cRB08 - Why Supporting Candidate in Democratic Primary
  • cRB09 - Intend to Early Vote in Democratic Primary
  • cRB10 - Intended Method of Early Voting in Democratic Primary
  • cRB11 - Voted in Primary
  • cRB12 - Voted in Republican or Democratic Primary
  • cRB13 - Candidate Voted for in Democratic Primary
  • cRB14 - When Made Up Mind About Democratic Primary Vote
  • cRB15 - Ever Intended to Vote for Different Candidate in Democratic Primary
  • cRB15_ - Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim
  • cRB16 - Why Supported Candidate in Democratic Primary
  • cRB17 - Early Voted in Primary
  • cRB18 - Method of Early Voting in Primary
  • cRB19 - Date of Early Voting in Primary (Asked Pre-Election)
  • cRB20 - Date of Early Voting in Primary (Asked Post-Election)
  • cRB21 - Would Change Early Vote in Democratic Primary
  • cRB22_1 - Why Did Not Vote in Primary, 1 of 5
  • cRB22_2 - Why Did Not Vote in Primary, 2 of 5
  • cRB22_3 - Why Did Not Vote in Primary, 3 of 5
  • cRB22_4 - Why Did Not Vote in Primary, 4 of 5
  • cRB22_5 - Why Did Not Vote in Primary, 5 of 5
  • cRB22_ - Why Did Not Vote in Primary, Verbatim
  • cRC01 - Intend to Vote in General Election
  • cRC02 - Chance of Voting in General Election
  • cRC03 - Intend to Vote for Bush or Democrat
  • cRC04 - Intend to Vote for Bush or Clark
  • cRC05 - Intend to Vote for Bush or Dean
  • cRC06 - Intend to Vote for Bush or Edwards
  • cRC07 - Intend to Vote for Bush or Kerry
  • cRC08_1 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2
  • cRC08_2 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2
  • cRC09_1 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2
  • cRC09_2 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2
  • cRC10 - Intend to Vote for Bush, Kerry, or Nader (Wording #1)
  • cRC11 - Intend to Vote for Bush, Kerry, or Nader (Wording #2)
  • cRC12 - Intend to Vote for Bush, Kerry, or Nader (Wording #3)
  • cRC13 - Intend to Vote for Bush, Kerry, or Nader (Wording #4)
  • cRC14 - Intend to Vote for Bush, Kerry, or Nader (Wording #5)
  • cRC15 - Intend to Vote for Bush or Kerry if Nader Not on Ballot
  • cRC16 - Definitely Intend to Vote for Bush in General Election
  • cRC17 - Definitely Intend to Vote for Kerry in General Election
  • cRC18 - Definitely Intend to Vote for Nader in General Election
  • cRC19 - Enthusiastic About Bush-Cheney
  • cRC20 - Upset About Bush-Cheney
  • cRC21 - Enthusiastic About Kerry-Edwards
  • cRC22 - Upset About Kerry-Edwards
  • cRC23 - Supporting Bush Because Against Kerry
  • cRC24 - Supporting Kerry Because Against Bush
  • cRC25 - Bush Should Keep Cheney as Running Mate
  • cRC26 - Intend to Early Vote in General Election
  • cRC27 - Intended Method of Early Voting in General Election
  • cRC28 - Voted in General Election
  • cRC29 - Voted for Bush, Kerry, or Nader
  • cRC30 - Voted for Bush or Kerry (Nader Not on Ballot)
  • cRC32 - Voted for Both Parties in General Election
  • cRC33 - General Election Is First Time Voted
  • cRC34 - When Made Up Mind About General Election Vote
  • cRC35 - When Made Up Mind About General Election Vote More Than Month Before
  • cRC36 - Ever Intended to Vote for Bush in General Election
  • cRC37 - Ever Intended to Vote for Kerry in General Election
  • cRC38 - Supported Bush Because Against Kerry
  • cRC39 - Supported Kerry Because Against Bush
  • cRC40 - Early Voted in General Election
  • cRC41 - Method of Early Voting in General Election
  • cRC42 - Date of Early Voting in General Election (Asked Pre-Election)
  • cRC43 - Date of Early Voting in General Election (Asked Post-Election)
  • cRC44 - Would Change Early Vote in General Election
  • cRC45 - How Would Change Early Vote in General Election
  • cRC46 - Method of Voting at Polling Station in General Election
  • cRC47 - Cast Provisional Ballot in General Election
  • cRC48 - Why Did Not Vote in General Election
  • cRC48_ - Why Did Not Vote in General Election, Verbatim
  • cRC49 - Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)
  • cRC50 - Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)
  • cRD01 - Voted in 2000 General Election
  • cRE01 - Vote Because of Civic Duty or for Candidate or Issue (Wording #1)
  • cRE02 - Voting Only Way to Have Say in Government
  • cRE03 - Voting Best Way to Participate in Politics
  • cRE04 - Important to Vote Even if Candidate Has No Chance
  • cRE05 - Enjoy Voting
  • cRE06 - Vote Because of Civic Duty or for Candidate or Issue (Wording #2)
  • cRE07 - Feel Less American if Do Not Vote
  • cRE08 - Feel Guilty if Do Not Vote
  • cRE09 - People in Family Will Vote (Wording #1)
  • cRE10 - People in Family Will Vote (Wording #2)
  • cRE11 - People in Family Voted
  • cRE12 - Friends Will Vote (Wording #1)
  • cRE13 - Friends Will Vote (Wording #2)
  • cRE14 - Friends Voted
  • cRE15 - People I Know Vote Always
  • cRE16 - Family and Friends Disappointed if I Do Not Vote
  • cRF01 - Would Vote for Female President
  • cRF02 - Would Vote for Hillary Clinton or Bush
  • cRF03 - Would Vote for Feinstein or Bush
  • cRF04 - Would Vote for Elizabeth Dole or Kerry
  • cRF05 - Would Vote for Rice or Kerry
  • cRG01 - Prefer Voting at Polling Station, by Mail, or Online
  • cRG02 - Favor Online Voting
  • cRG03 - More Likely to Vote if Online
  • cRG04 - Support Ending Electoral College (Wording #1)
  • cRG05 - Support Ending Electoral College (Wording #2)
  • cRX01_1 - Random Response Order for Clark in cRB06, cRB13
  • cRX01_2 - Random Response Order for Dean in cRB06, cRB13
  • cRX01_3 - Random Response Order for Edwards in cRB06, cRB13
  • cRX01_4 - Random Response Order for Gephardt in cRB06, cRB13
  • cRX01_5 - Random Response Order for Kerry in cRB06, cRB13
  • cRX01_6 - Random Response Order for Kucinich in cRB06, cRB13
  • cRX01_7 - Random Response Order for Lieberman in cRB06, cRB13
  • cRX01_8 - Random Response Order for Moseley Braun in cRB06, cRB13
  • cRX01_9 - Random Response Order for Sharpton in cRB06, cRB13
  • cRX02_1 - Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_2 - Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_3 - Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX03_1 - Random Question Order for cRC04
  • cRX03_2 - Random Question Order for cRC05
  • cRX03_3 - Random Question Order for cRC06
  • cRX03_4 - Random Question Order for cRC07
  • cSA01 - Bush Will Be Good President Even Though Voted for Kerry
  • cSA02 - Election Shows Every Vote Makes a Difference
  • cSA03 - Election Shows Democracy Not Working
  • cSA04 - Permanent Harm Done by Election Process
  • cSA05 - Confident Vote Counted Accurately
  • cSA06 - Confident Vote Will Be Counted Accurately
  • cSA07 - Casting Ballot Was Confusing
  • cSA08 - Certain Vote Cast Accurately
  • cSA09 - Gore Cheated Out of Presidency
  • cUA01 - Congressional District
  • cUA02 - Know Names of Incumbent Senators
  • cUA02_ - Know Names of Incumbent Senators, Verbatim
  • cUA03 - Don’t-Know Prompt for cUA02
  • cUA04 - Favorability of Senator Running for Re-Election
  • cUA05 - House Candidate Voted for in General Election
  • cUA06 - Senate Candidate Voted for in General Election
  • cUA07 - Voted in 2002 Election (Wording #1)
  • cUA08 - Voted in 2002 Election (Wording #2)
  • cUA09 - House Candidate Voted for in 2002
  • cWA01 - Sex
  • cWA02 - Age
  • cWA03 - Education
  • cWA04 - Household Income
  • cWB01 - Employment Status
  • cWB02 - Line of Work (Employed)
  • cWB02_ - Line of Work (Employed), Verbatim
  • cWB03 - Line of Work (Not Currently Employed)
  • cWB03_ - Line of Work (Not Currently Employed), Verbatim
  • cWB04 - Self-Employed
  • cWB05 - Employed by Government
  • cWB06 - Anyone in Household Belongs to Labor Union
  • cWB07 - Any Other Adults in Household Unemployed
  • cWB08 - Know of Anyone Who Lost Job in Past Six Months (Wording #1)
  • cWB09 - Know of Anyone Who Lost Job in Past Six Months (Wording #2)
  • cWB10 - Know of Anyone Who Regained Job in Past Six Months
  • cWB11 - Employed by Business That Exports
  • cWB12 - Employed by Business That Imports
  • cWB13 - Employed by Business That Supplies Imports or Exports
  • cWB14 - Employed by Business That Outsources
  • cWC01 - Hispanic
  • cWC02 - Line of Hispanic Origin
  • cWC02_ - Line of Hispanic Origin, Verbatim
  • cWC03 - Race
  • cWC03_ - Race, Verbatim
  • cWC04 - Born in U.S.
  • cWC05 - U.S. Citizen
  • cWC06 - Years Lived in U.S.
  • cWC07 - Years at Present Address
  • cWD01 - Attend Religious Services
  • cWD02 - Religion (Attend Religious Services)
  • cWD02_ - Religion (Attend Religious Services), Verbatim
  • cWD03 - Religion (Do Not Attend Religious Services)
  • cWD03_ - Religion (Do Not Attend Religious Services), Verbatim
  • cWD04 - Born-Again Christian
  • cWE01 - Anyone in Household Ever Served in Military
  • cWE02_1 - Branch of Military Respondent Ever Served In, 1 of 3
  • cWE02_2 - Branch of Military Respondent Ever Served In, 2 of 3
  • cWE02_3 - Branch of Military Respondent Ever Served In, 3 of 3
  • cWE03_1 - Branch of Military Other Household Member Ever Served In, 1 of 3
  • cWE03_2 - Branch of Military Other Household Member Ever Served In, 2 of 3
  • cWE03_3 - Branch of Military Other Household Member Ever Served In, 3 of 3
  • cWE04 - Anyone in Household Currently in Military
  • cWE05_1 - Branch of Military Respondent Currently Serving In, 1 of 3
  • cWE05_2 - Branch of Military Respondent Currently Serving In, 2 of 3
  • cWE05_3 - Branch of Military Respondent Currently Serving In, 3 of 3
  • cWE06_1 - Branch of Military Other Household Member Currently Serving In, 1 of 3
  • cWE06_2 - Branch of Military Other Household Member Currently Serving In, 2 of 3
  • cWE06_3 - Branch of Military Other Household Member Currently Serving In, 3 of 3
  • cWE07 - Anyone in Household Served in Military Overseas in Past Four Years
  • cWE08_1 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_2 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_3 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_4 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_5 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWF01 - Total Adults in Household
  • cWF02 - Adults Age 18–22 in Household
  • cWF03 - Total Children in Household
  • cWF04 - Children Age 14–17 in Household
  • cWF05 - Children Age 6–13 in Household
  • cWF06 - Children Under Age 5 in Household
  • cWF07 - Marital Status
  • cWF08 - Census Division
  • cWF09 - Metropolitan Statistical Area
  • cWF10 - County
  • cWF11 - Zip Code (Estimated From Phone)
  • cWF12 - Zip Code (Reported by Respondent)
  • cWF13 - Urbanity
  • cWF14 - Media Market
  • cWF15 - Phone Landlines in Household
  • cWF16 - Have Cell Phone
  • cWG01 - Anyone in Household Owns Gun (Wording #1)
  • cWG02 - Anyone in Household Owns Gun (Wording #2)
  • cWG03 - Anyone in Household Belongs to NRA (Wording #1)
  • cWG04 - Anyone in Household Belongs to NRA (Wording #2)
  • cWG05 - Know of Someone Gay or Lesbian
  • cYA01 - Interviewer ID
  • cYA02 - Interviewer Sex
  • cYA03 - Interviewer Race
  • cYA04 - Interview Language
  • cYA05 - Interviewer’s Evaluation of Interview Overall
  • cYA06 - Interviewer’s Evaluation of Respondent’s Political Knowledge
  • ruling
  • gayfavor
  • xtianfavor
  • protfavor
  • gmfavor
  • direction
  • morals
  • gop
  • democrat
  • protestant
  • mormon
  • catholic
  • bornagain
  • howoften
  • mass
  • florida
  • california
  • iowa
  • white
  • black
  • hispanic
  • female
  • age
  • liberalism
  • moderate
  • vpcorr
  • sccorr
  • vetocorr
  • housecorr
  • knowindex
  • unsophisticated
  • fmamdtoppose2
  • FMAintensity2
  • intendtovote
  • registered
  • consbornagain
  • fmamdtoppose
  • fmaintensity
  • wbornagain
  • group - group
  • dm
  • lb
  • ub
  • ddm
  • llb
  • uub
  • dddm
  • lllb
  • uuub
  • cond
  • sdodm
  • sdolb
  • sdoub
  • ittdm
  • ittlb
  • ittub
  • evdm
  • evlb
  • evub
  • gpdm
  • gplb
  • gpub
  • undm
  • unlb
  • unub
  • mdm
  • mlb
  • mub
  • cond
  • sdodm
  • sdolb
  • sdoub
  • ittdm
  • ittlb
  • ittub
  • evdm
  • evlb
  • evub
  • gpdm
  • gplb
  • gpub
  • undm
  • unlb
  • unub
  • mdm
  • mlb
  • mub
  • cond
  • sdodm
  • sdolb
  • sdoub
  • ittdm
  • ittlb
  • ittub
  • evdm
  • evlb
  • evub
  • gpdm
  • gplb
  • gpub
  • undm
  • unlb
  • unub
  • mdm
  • mlb
  • mub
  • dm
  • lb
  • ub
  • ddm
  • uub
  • llb
  • dddm
  • uuub
  • lllb
  • group1 - group1
  • cINT - Interviewing Component
  • cKEY - Respondent ID
  • cHKEY - Household ID
  • cAC - Area Code
  • cST - State (Two-Letter Abbreviation)
  • cSTNUM - State (Numeric Code)
  • cDATE - Interview Date
  • cTIME - Interview Start Time
  • cXA - Random Assignment to Question Module A1 or A2
  • cXB - Random Assignment to Question Module B1, B2, or B3
  • cXC - Random Assignment to Question Module C1, C2, C3, or C4
  • cAA01 - Bush Favorability
  • cAA02 - Bush Job Approval
  • cAA03 - Bush Favorability as Person
  • cAA04 - Bush Cares About People Like Me
  • cAA05 - Bush Inspiring
  • cAA06 - Bush Strong Leader
  • cAA07 - Bush Trustworthy
  • cAA08 - Bush Shares My Values
  • cAA09 - Bush Knowledgeable
  • cAA10 - Bush Reckless
  • cAA11 - Bush Steady
  • cAA12 - Bush Says One Thing, Does Another
  • cAA13 - Bush Has Right Experience
  • cAA14 - Bush Easy to Like
  • cAA15 - Bush Will Make Tough Decisions
  • cAA16 - Bush Has Clear Vision
  • cAA17 - Bush Changes His Mind
  • cAA18 - Bush Too Liberal
  • cAA19 - Bush Too Conservative
  • cAA20 - Bush Out of Touch
  • cAA21 - Bush Stubborn
  • cAA22 - Bush Arrogant
  • cAA23 - Bush Optimistic
  • cAA24 - Bush Effective
  • cAA25 - Bush Decisive
  • cAA26 - Bush Flip-Flops
  • cAA27 - Bush Honest
  • cAA28 - Bush Not Willing to Admit Mistakes
  • cAA29 - Bush Kept Promises
  • cAA30 - Bush Conservative or Liberal
  • cAA31 - Bush Makes Me Angry
  • cAA32 - Bush Makes Me Uneasy
  • cAA33 - Bush Makes Me Afraid
  • cAB01 - Kerry Favorability
  • cAB02 - Kerry Cares About People Like Me
  • cAB03 - Kerry Inspiring
  • cAB04 - Kerry Strong Leader
  • cAB05 - Kerry Trustworthy
  • cAB06 - Kerry Shares My Values
  • cAB07 - Kerry Knowledgeable
  • cAB08 - Kerry Reckless
  • cAB09 - Kerry Steady
  • cAB10 - Kerry Says One Thing, Does Another
  • cAB11 - Kerry Has Right Experience
  • cAB12 - Kerry Easy to Like
  • cAB13 - Kerry Will Make Tough Decisions
  • cAB14 - Kerry Has Clear Vision
  • cAB15 - Kerry Changes His Mind
  • cAB16 - Kerry Too Liberal
  • cAB17 - Kerry Too Conservative
  • cAB18 - Kerry Out of Touch
  • cAB19 - Kerry Stubborn
  • cAB20 - Kerry Arrogant
  • cAB21 - Kerry Optimistic
  • cAB22 - Kerry Effective
  • cAB23 - Kerry Decisive
  • cAB24 - Kerry Flip-Flops
  • cAB25 - Kerry Honest
  • cAB26 - Kerry Not Willing to Admit Mistakes
  • cAB27 - Kerry Conservative or Liberal
  • cAB28 - Kerry Makes Me Angry
  • cAB29 - Kerry Makes Me Uneasy
  • cAB30 - Kerry Makes Me Afraid
  • cAC01 - Cheney Favorability
  • cAC02 - Know Cheney Is Vice Presidential Candidate
  • cAC03 - Cheney Has Right Experience to Be President
  • cAC04 - Edwards Favorability
  • cAC05 - Know Edwards Is Vice Presidential Candidate
  • cAC06 - Edwards Cares About People Like Me
  • cAC07 - Edwards Inspiring
  • cAC08 - Edwards Strong Leader
  • cAC09 - Edwards Trustworthy
  • cAC10 - Edwards Shares My Values
  • cAC11 - Edwards Knowledgeable
  • cAC12 - Edwards Reckless
  • cAC13 - Edwards Has Right Experience to Be President
  • cAC14 - Edwards Conservative or Liberal
  • cAC15 - Nader Favorability
  • cAC16 - Nader Conservative or Liberal
  • cAC17 - Clark Favorability
  • cAC18 - Clark Cares About People Like Me
  • cAC19 - Clark Inspiring
  • cAC20 - Clark Strong Leader
  • cAC21 - Clark Trustworthy
  • cAC22 - Clark Shares My Values
  • cAC23 - Clark Knowledgeable
  • cAC24 - Clark Reckless
  • cAC25 - Clark Conservative or Liberal
  • cAC26 - Dean Favorability
  • cAC27 - Dean Cares About People Like Me
  • cAC28 - Dean Inspiring
  • cAC29 - Dean Strong Leader
  • cAC30 - Dean Trustworthy
  • cAC31 - Dean Shares My Values
  • cAC32 - Dean Knowledgeable
  • cAC33 - Dean Reckless
  • cAC34 - Dean Conservative or Liberal
  • cAC35 - Gephardt Favorability
  • cAC36 - Gephardt Cares About People Like Me
  • cAC37 - Gephardt Inspiring
  • cAC38 - Gephardt Strong Leader
  • cAC39 - Gephardt Trustworthy
  • cAC40 - Gephardt Shares My Values
  • cAC41 - Gephardt Knowledgeable
  • cAC42 - Gephardt Reckless
  • cAC43 - Gephardt Conservative or Liberal
  • cAC44 - Lieberman Favorability
  • cAC45 - Lieberman Cares About People Like Me
  • cAC46 - Lieberman Inspiring
  • cAC47 - Lieberman Strong Leader
  • cAC48 - Lieberman Trustworthy
  • cAC49 - Lieberman Shares My Values
  • cAC50 - Lieberman Knowledgeable
  • cAC51 - Lieberman Reckless
  • cAC52 - Lieberman Conservative or Liberal
  • cAC53 - More Likely to Vote for Moderate or Liberal Democratic Candidate
  • cAC54 - More Likely to Vote for Democratic Candidate With Washington Experience
  • cAC55_1 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2
  • cAC55_2 - Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2
  • cAC56_1 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2
  • cAC56_2 - Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2
  • cAC57_1 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2
  • cAC57_2 - Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2
  • cAC58 - Random Assignment to Democratic Candidates (2/11/04–2/17/04)
  • cAD01 - Ashcroft Favorability
  • cAD02 - Laura Bush Favorability
  • cAD03 - Bill Clinton Favorability
  • cAD04 - Hillary Clinton Favorability
  • cAD05 - Giuliani Favorability
  • cAD06 - Gore Favorability
  • cAD07 - Heinz Kerry Favorability
  • cAD08 - Limbaugh Favorability
  • cAD09 - McCain Favorability
  • cAD10 - Rice Favorability
  • cAD11 - Schwarzenegger Favorability
  • cAD12 - Howard Stern Favorability
  • cAD13_1 - What Jane Fonda Is Known For, 1 of 5
  • cAD13_2 - What Jane Fonda Is Known For, 2 of 5
  • cAD13_3 - What Jane Fonda Is Known For, 3 of 5
  • cAD13_4 - What Jane Fonda Is Known For, 4 of 5
  • cAD13_5 - What Jane Fonda Is Known For, 5 of 5
  • cAD13_ - What Jane Fonda Is Known For, Verbatim
  • cAD14_1 - What Herbert Hoover Is Known For, 1 of 5
  • cAD14_2 - What Herbert Hoover Is Known For, 2 of 5
  • cAD14_3 - What Herbert Hoover Is Known For, 3 of 5
  • cAD14_4 - What Herbert Hoover Is Known For, 4 of 5
  • cAD14_5 - What Herbert Hoover Is Known For, 5 of 5
  • cAD14_ - What Herbert Hoover Is Known For, Verbatim
  • cAD15 - Reagan Accomplishments in Domestic Policy
  • cAD16 - Reagan Accomplishments in Foreign Policy
  • cAD17 - Bush or Kerry More Like Reagan as Politician
  • cAD18 - Bush or Kerry More Like Reagan as Leader
  • cAD19 - Bush or Kerry More Like Reagan as Person
  • cAE01 - Congressional Republicans Job Approval
  • cAE02 - Congressional Democrats Job Approval
  • cAE03 - Labor Unions Favorability
  • cAE04 - Corporations Favorability
  • cAE05 - Feminist Groups Favorability
  • cAE06 - Gay Groups Favorability
  • cAE07 - Environmental Groups Favorability
  • cAE08 - AARP Favorability
  • cAE09 - NRA Favorability
  • cAE10 - Christian Groups Favorability
  • cAE11 - Protestants Favorability
  • cAE12 - Catholics Favorability
  • cAE13 - Jewish People Favorability (Wording #1)
  • cAE14 - Jewish People Favorability (Wording #2)
  • cAE15 - Muslims Favorability
  • cAX01_01 - Random Question Order for cAA01
  • cAX01_02 - Random Question Order for cAB01
  • cAX01_03 - Random Question Order for cAC01
  • cAX01_04 - Random Question Order for cAC04
  • cAX01_05 - Random Question Order for cAC15
  • cAX01_06 - Random Question Order for cAC17
  • cAX01_07 - Random Question Order for cAC26
  • cAX01_08 - Random Question Order for cAC35
  • cAX01_09 - Random Question Order for cAC44
  • cAX01_10 - Random Question Order for cAD01
  • cAX01_11 - Random Question Order for cAD02
  • cAX01_12 - Random Question Order for cAD03
  • cAX01_13 - Random Question Order for cAD04
  • cAX01_14 - Random Question Order for cAD05
  • cAX01_15 - Random Question Order for cAD06
  • cAX01_16 - Random Question Order for cAD07
  • cAX01_17 - Random Question Order for cAD08
  • cAX01_18 - Random Question Order for cAD09
  • cAX01_19 - Random Question Order for cAD10
  • cAX01_20 - Random Question Order for cAD11
  • cAX01_21 - Random Question Order for cAD12
  • cAX01_22 - Random Question Order for cUA04
  • cAX02_1 - Random Question Order for cAA04–cAA28
  • cAX02_2 - Random Question Order for cAB02–cAB26
  • cAX02_3 - Random Question Order for cAC06–cAC12
  • cAX02_4 - Random Question Order for cAC18–cAC24
  • cAX02_5 - Random Question Order for cAC27–cAC33
  • cAX02_6 - Random Question Order for cAC36–cAC42
  • cAX02_7 - Random Question Order for cAC45–cAC51
  • cAX03_01 - Random Question Order for cAA04
  • cAX03_02 - Random Question Order for cAA05
  • cAX03_03 - Random Question Order for cAA06
  • cAX03_04 - Random Question Order for cAA07
  • cAX03_05 - Random Question Order for cAA08
  • cAX03_06 - Random Question Order for cAA09
  • cAX03_07 - Random Question Order for cAA10
  • cAX03_08 - Random Question Order for cAA11
  • cAX03_09 - Random Question Order for cAA12
  • cAX03_10 - Random Question Order for cAA13
  • cAX03_11 - Random Question Order for cAA14
  • cAX03_12 - Random Question Order for cAA15
  • cAX03_13 - Random Question Order for cAA16
  • cAX03_14 - Random Question Order for cAA17
  • cAX03_15 - Random Question Order for cAA18
  • cAX03_16 - Random Question Order for cAA19
  • cAX03_17 - Random Question Order for cAA20
  • cAX03_18 - Random Question Order for cAA21
  • cAX03_19 - Random Question Order for cAA22
  • cAX03_20 - Random Question Order for cAA23
  • cAX03_21 - Random Question Order for cAA24
  • cAX03_22 - Random Question Order for cAA25
  • cAX03_23 - Random Question Order for cAA26
  • cAX03_24 - Random Question Order for cAA27
  • cAX03_25 - Random Question Order for cAA28
  • cAX04_01 - Random Question Order for cAB02
  • cAX04_02 - Random Question Order for cAB03
  • cAX04_03 - Random Question Order for cAB04
  • cAX04_04 - Random Question Order for cAB05
  • cAX04_05 - Random Question Order for cAB06
  • cAX04_06 - Random Question Order for cAB07
  • cAX04_07 - Random Question Order for cAB08
  • cAX04_08 - Random Question Order for cAB09
  • cAX04_09 - Random Question Order for cAB10
  • cAX04_10 - Random Question Order for cAB11
  • cAX04_11 - Random Question Order for cAB12
  • cAX04_12 - Random Question Order for cAB13
  • cAX04_13 - Random Question Order for cAB14
  • cAX04_14 - Random Question Order for cAB15
  • cAX04_15 - Random Question Order for cAB16
  • cAX04_16 - Random Question Order for cAB17
  • cAX04_17 - Random Question Order for cAB18
  • cAX04_18 - Random Question Order for cAB19
  • cAX04_19 - Random Question Order for cAB20
  • cAX04_20 - Random Question Order for cAB21
  • cAX04_21 - Random Question Order for cAB22
  • cAX04_22 - Random Question Order for cAB23
  • cAX04_23 - Random Question Order for cAB24
  • cAX04_24 - Random Question Order for cAB25
  • cAX04_25 - Random Question Order for cAB26
  • cAX05_1 - Random Question Order for cAC06
  • cAX05_2 - Random Question Order for cAC07
  • cAX05_3 - Random Question Order for cAC08
  • cAX05_4 - Random Question Order for cAC09
  • cAX05_5 - Random Question Order for cAC10
  • cAX05_6 - Random Question Order for cAC11
  • cAX05_7 - Random Question Order for cAC12
  • cAX06_1 - Random Question Order for cAC18
  • cAX06_2 - Random Question Order for cAC19
  • cAX06_3 - Random Question Order for cAC20
  • cAX06_4 - Random Question Order for cAC21
  • cAX06_5 - Random Question Order for cAC22
  • cAX06_6 - Random Question Order for cAC23
  • cAX06_7 - Random Question Order for cAC24
  • cAX07_1 - Random Question Order for cAC27
  • cAX07_2 - Random Question Order for cAC28
  • cAX07_3 - Random Question Order for cAC29
  • cAX07_4 - Random Question Order for cAC30
  • cAX07_5 - Random Question Order for cAC31
  • cAX07_6 - Random Question Order for cAC32
  • cAX07_7 - Random Question Order for cAC33
  • cAX08_1 - Random Question Order for cAC36
  • cAX08_2 - Random Question Order for cAC37
  • cAX08_3 - Random Question Order for cAC38
  • cAX08_4 - Random Question Order for cAC39
  • cAX08_5 - Random Question Order for cAC40
  • cAX08_6 - Random Question Order for cAC41
  • cAX08_7 - Random Question Order for cAC42
  • cAX09_1 - Random Question Order for cAC45
  • cAX09_2 - Random Question Order for cAC46
  • cAX09_3 - Random Question Order for cAC47
  • cAX09_4 - Random Question Order for cAC48
  • cAX09_5 - Random Question Order for cAC49
  • cAX09_6 - Random Question Order for cAC50
  • cAX09_7 - Random Question Order for cAC51
  • cCA01 - Country Going in Right Direction (Wording #1)
  • cCA02 - Country Going in Right Direction (Wording #2)
  • cCA03_1 - Most Important Problem (Wording #1), 1 of 5
  • cCA03_2 - Most Important Problem (Wording #1), 2 of 5
  • cCA03_3 - Most Important Problem (Wording #1), 3 of 5
  • cCA03_4 - Most Important Problem (Wording #1), 4 of 5
  • cCA03_5 - Most Important Problem (Wording #1), 5 of 5
  • cCA03_ - Most Important Problem (Wording #1), Verbatim
  • cCA04 - Don’t-Know Prompt for cCA03
  • cCA05_1 - Most Important Problem (Wording #2), 1 of 5
  • cCA05_2 - Most Important Problem (Wording #2), 2 of 5
  • cCA05_3 - Most Important Problem (Wording #2), 3 of 5
  • cCA05_4 - Most Important Problem (Wording #2), 4 of 5
  • cCA05_5 - Most Important Problem (Wording #2), 5 of 5
  • cCA05_ - Most Important Problem (Wording #2), Verbatim
  • cCA06 - Don’t-Know Prompt for cCA05
  • cCA07 - Iraq or Economy More Important in Vote
  • cCB01 - Country’s Economy Today
  • cCB02 - Country’s Economy Last Year
  • cCB03 - Country’s Economy Next Year
  • cCB04 - Personal Economic Situation Today
  • cCB05 - Personal Economic Situation Last Year
  • cCB06 - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy
  • cCB06_ - Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim
  • cCB07 - Aware Economy Grew 7 Percent
  • cCB08 - Economy Will Continue to Grow
  • cCB09 - Approve of Bush Handling Economy
  • cCB10 - Bush Policies Are Improving Economy
  • cCB11 - Trust Bush or Kerry on Economy
  • cCB12 - Bush Will Do Better Than Kerry on Economy
  • cCB13 - Favor Reducing Taxes
  • cCB14 - Taxes Will Increase if Bush Elected
  • cCB15 - Taxes Will Increase if Kerry Elected
  • cCB16 - Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)
  • cCB17 - Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)
  • cCB18 - Favor Repealing Bush Tax Cuts for Wealthy
  • cCB19 - Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance
  • cCB20 - Who Has Benefited Most From Bush Tax Cuts
  • cCB21 - Personally Benefited From Bush Tax Cuts
  • cCB22 - Personally Paying More or Less Taxes This Year
  • cCB23 - Why Paying More Taxes This Year
  • cCB24 - Why Paying Less Taxes This Year
  • cCB25 - Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent
  • cCB26 - Don’t-Know Prompt for cCB25
  • cCB27 - Know Income Level at Which Kerry Would Repeal Bush Tax Cuts
  • cCB28 - Don’t-Know Prompt for cCB27
  • cCB29_1 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5
  • cCB29_2 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5
  • cCB29_3 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5
  • cCB29_4 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5
  • cCB29_5 - Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5
  • cCB30 - Don’t-Know Prompt for cCB29
  • cCB31_1 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5
  • cCB31_2 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5
  • cCB31_3 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5
  • cCB31_4 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5
  • cCB31_5 - Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5
  • cCB32 - Don’t-Know Prompt for cCB31
  • cCB33 - Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)
  • cCB34 - Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)
  • cCB35 - Favor Eliminating Estate Tax (Wording #2)
  • cCB36 - Favor Reducing Estate Tax
  • cCB37 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)
  • cCB38 - Don’t-Know Prompt for cCB37
  • cCB39 - Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)
  • cCB40 - Don’t-Know Prompt for cCB39
  • cCB41 - Know if Bush or Kerry Favors Reducing Estate Tax
  • cCB42 - Don’t-Know Prompt for cCB41
  • cCB43 - Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes
  • cCB44 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB45 - Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job
  • cCB46 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta
  • cCB47 - Don’t-Know Prompt for cCB46
  • cCB48 - Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co
  • cCB49 - Don’t-Know Prompt for cCB48
  • cCB50 - Kerry Wants to Raise Taxes $900 Billion
  • cCB51 - Kerry Voted for Higher Taxes 350 Times
  • cCB52 - Kerry Wants to Raise Gas Tax
  • cCB53 - Bush Raided Social Security for Tax Cuts
  • cCB54 - Favor Doing More to Balance Budget
  • cCB55 - Tax Cuts or Spending More Responsible for Deficit
  • cCB55_ - Tax Cuts or Spending More Responsible for Deficit, Verbatim
  • cCB56 - Domestic or Foreign Spending More Responsible for Deficit
  • cCB57 - Best Way to Reduce Deficit
  • cCB57_ - Best Way to Reduce Deficit, Verbatim
  • cCB58 - Domestic or Foreign Spending Cuts Best Way to Reduce Deficit
  • cCB59 - Know if Bush or Kerry Favors Cutting Deficit in Half
  • cCB60 - Don’t-Know Prompt for cCB59
  • cCB61 - Trust Republicans or Democrats on Deficit
  • cCB62 - Jobs Available in Community
  • cCB63 - Know Number of Jobs Gained Under Bush
  • cCB64 - Three Million Jobs Lost Under Bush
  • cCB65 - Favor Increasing Minimum Wage
  • cCB66 - Know if Bush or Kerry Favors Increasing Minimum Wage
  • cCB67 - Don’t-Know Prompt for cCB66
  • cCB68 - Familiar With New Overtime Regulations
  • cCB69 - New Overtime Regulations Will Increase Personal Pay
  • cCB70 - Who Will Benefit Most From New Overtime Regulations
  • cCB71 - Favor Making Union Organizing Easier (No Strongly Follow-Up)
  • cCB72 - Favor Making Union Organizing Easier (Strongly Follow-Up)
  • cCB73 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)
  • cCB74 - Don’t-Know Prompt for cCB73
  • cCB75 - Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)
  • cCB76 - Don’t-Know Prompt for cCB75
  • cCB77 - Trade Has Improved U.S. Economy
  • cCB78 - Trade Has Improved Personal Economic Situation
  • cCB79 - Favor Government Encouraging Trade
  • cCB80 - Bush Favorable to Trade
  • cCB81 - Kerry Favorable to Trade
  • cCB82 - Favor More Trade Agreements
  • cCB83_1 - Know Democratic Candidate Who Opposes NAFTA, 1 of 5
  • cCB83_2 - Know Democratic Candidate Who Opposes NAFTA, 2 of 5
  • cCB83_3 - Know Democratic Candidate Who Opposes NAFTA, 3 of 5
  • cCB83_4 - Know Democratic Candidate Who Opposes NAFTA, 4 of 5
  • cCB83_5 - Know Democratic Candidate Who Opposes NAFTA, 5 of 5
  • cCB84 - Don’t-Know Prompt for cCB83
  • cCB85 - Favor Government Encouraging Outsourcing
  • cCB86 - Bush or Kerry Better at Preventing Outsourcing
  • cCB87 - Bush Will Do Better Than Kerry at Preventing Outsourcing
  • cCB88 - Bush Favors Sending Jobs Overseas
  • cCC01 - Favor Government Controlling Health Insurance Costs
  • cCC02 - Favor Government Spending More on Health Insurance
  • cCC03 - Favor Government Health Insurance for Children (No Strongly Follow-Up)
  • cCC04 - Favor Government Health Insurance for Children (Strongly Follow-Up)
  • cCC05 - Favor Government Health Insurance for Workers (No Strongly Follow-Up)
  • cCC06 - Favor Government Health Insurance for Workers (Strongly Follow-Up)
  • cCC07 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC08 - Don’t-Know Prompt for cCC07
  • cCC09 - Know if Bush or Kerry Favors Government Health Insurance for Children and Worker
  • cCC10 - Don’t-Know Prompt for cCC09
  • cCC11_1 - Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5
  • cCC11_2 - Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5
  • cCC11_3 - Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5
  • cCC11_4 - Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5
  • cCC11_5 - Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5
  • cCC12 - Don’t-Know Prompt for cCC11
  • cCC13_1 - Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5
  • cCC13_2 - Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5
  • cCC13_3 - Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5
  • cCC13_4 - Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5
  • cCC13_5 - Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5
  • cCC14 - Don’t-Know Prompt for cCC13
  • cCC15 - Favor Government Prescription Coverage for Seniors
  • cCC16 - Favor Congress Passing Medicare Prescription Law
  • cCC17 - Favor Medicare Prescription Law (Wording #1)
  • cCC18 - Favor Medicare Prescription Law (Wording #2)
  • cCC19 - Favor Medicare Prescription Law Despite Counterarguments
  • cCC20 - Oppose Medicare Prescription Law Despite Counterarguments
  • cCC21 - Seniors or Companies Will Benefit More From Medicare Prescription Law
  • cCC22 - Know if Bush or Kerry Favors Medicare Prescription Law
  • cCC23 - Don’t-Know Prompt for cCC22
  • cCC24 - Favor Re-Importing Drugs (No Strongly Follow-Up)
  • cCC25 - Favor Re-Importing Drugs (Strongly Follow-Up)
  • cCC26 - Know if Bush or Kerry Favors Re-Importing Drugs
  • cCC27 - Don’t-Know Prompt for cCC26
  • cCC28 - Know if Bush or Kerry Favors Negotiating With Drug Companies
  • cCC29 - Don’t-Know Prompt for cCC28
  • cCC30 - Bush Responsible for Flu Vaccine Shortage
  • cCC31 - Kerry Responsible for Flu Vaccine Shortage
  • cCC32 - Favor Social Security in Stock Market (Strongly Follow-Up)
  • cCC33 - Favor Social Security in Stock Market (No Strongly Follow-Up)
  • cCC34 - Know if Bush or Kerry Favors Social Security in Stock Market
  • cCC35 - Don’t-Know Prompt for cCC34
  • cCC36 - Familiar With No Child Left Behind
  • cCC37 - No Child Left Behind Has Improved Schools (Wording #1)
  • cCC38 - No Child Left Behind Has Improved Schools (Wording #2)
  • cCC39 - Favor School Vouchers
  • cCC40 - Favor Federal Assistance to Schools
  • cCC41 - Favor Government Trying to Reduce Income Differences
  • cCD01 - U.S. Is Regarded Differently Because of Bush
  • cCD02 - Matters How U.S. Is Regarded Because of Bush
  • cCD03 - Favor Spending on Military
  • cCD04 - Trust Bush or Kerry to Be Commander-in-Chief
  • cCD05 - Bush Will Do Better Than Kerry as Commander-in-Chief
  • cCD06 - U.S. Too Involved in Trouble Spots Other Than Iraq
  • cCD07 - Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)
  • cCD08 - Favor Moving Troops From Europe and Korea (Strongly Follow-Up)
  • cCD09 - Know if Bush or Kerry Favors Moving Troops From Europe and Korea
  • cCD10 - Don’t-Know Prompt for cCD09
  • cCD11 - Favor Reinstating Draft
  • cCD12 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD13 - Don’t-Know Prompt for cCD12
  • cCD14 - Know if Bush or Kerry Favors Reinstating Draft
  • cCD15 - Don’t-Know Prompt for cCD14
  • cCD16 - Think Bush Will Reinstate Draft
  • cCD17 - Think Kerry Will Reinstate Draft
  • cCD18 - Veterans Getting Health Care They Were Promised
  • cCD19 - Approve of Bush Handling Iraq
  • cCD20 - Favor Spending on Iraq and Afghanistan
  • cCD21 - Iraq War Was Worth It
  • cCD22 - Iraq War Was Worth It Despite Counterarguments
  • cCD23 - Iraq War Was Not Worth It Despite Counterarguments
  • cCD24 - U.S. Too Quick to Go to War With Iraq
  • cCD25 - Cost of Iraq War Was Necessary
  • cCD26 - Iraq Had WMDs
  • cCD27 - Know if Bush or Kerry Favors Spending on Iraq and Afghanistan
  • cCD28 - Don’t-Know Prompt for cCD27
  • cCD29_1 - Know Democratic Candidate Who Opposed Iraq War, 1 of 5
  • cCD29_2 - Know Democratic Candidate Who Opposed Iraq War, 2 of 5
  • cCD29_3 - Know Democratic Candidate Who Opposed Iraq War, 3 of 5
  • cCD29_4 - Know Democratic Candidate Who Opposed Iraq War, 4 of 5
  • cCD29_5 - Know Democratic Candidate Who Opposed Iraq War, 5 of 5
  • cCD30 - Don’t-Know Prompt for cCD29
  • cCD31 - Iraq War Reduced Risk of Terrorism
  • cCD32 - Hussein Helped Al Qaeda With 9/11
  • cCD33 - Hussein Linked to Al Qaeda
  • cCD34 - Favor Spending More on Rebuilding Iraq
  • cCD35 - Favor Keeping Troops in Iraq Until Government Stable
  • cCD36 - U.S. or New Government Will Have More Power in Iraq
  • cCD37 - U.S. or New Government Will Have Much More Power in Iraq
  • cCD38 - Power Transfer in Iraq Will Increase Risk of Terrorism
  • cCD39 - When Troops Should Return Home
  • cCD40 - When Troops Will Return Home
  • cCD41 - Know How Many Troops in Iraq
  • cCD41_ - Know How Many Troops in Iraq, Verbatim
  • cCD42 - Bush Has Plan for Iraq
  • cCD43 - Kerry Has Plan for Iraq
  • cCD44 - Bush Had Plan for Iraq When Voted
  • cCD45 - Kerry Had Plan for Iraq When Voted
  • cCD46 - Soldiers Followed Orders to Mistreat Iraqi Prisoners
  • cCD47 - Pentagon Acted Property on Iraqi Prisoner Treatment
  • cCD48 - Bush Should Apologize for Iraqi Prisoner Treatment
  • cCD49 - Rumsfeld Should Resign Over Iraqi Prisoner Treatment
  • cCD50 - Regular Military Sent to Iraq Properly Prepared
  • cCD51 - Guard and Reserves Sent to Iraq Properly Prepared
  • cCD52 - Pentagon Overburdened Guard and Reserves
  • cCD53 - Important That Democrats Nominate Iraq War Supporter
  • cCD54 - Halliburton Awarded Contracts Because of Cheney
  • cCD55 - Bush Responsible for Missing Explosives in Iraq
  • cCD56 - Favor Doing More to Protect Terrorism Targets
  • cCD57 - Favor Spending More on Homeland Security
  • cCD58 - Feel Safer Because of Government Efforts After 9/11 (Wording #1)
  • cCD59 - Feel Safer Because of Government Efforts After 9/11 (Wording #2)
  • cCD60 - Chance of Terrorist Attack in Next Year
  • cCD61 - Approve of Bush Handling Terrorism
  • cCD62 - Trust Bush or Kerry on Terrorism
  • cCD63 - Bush Will Do Better Than Kerry on Terrorism
  • cCD64 - Clinton or Bush Took Terrorism Threat More Seriously
  • cCD65 - Favor Doing More About Potential Terrorists
  • cCD66 - Approve of Patriot Act
  • cCD67 - Patriot Act Is Good for Country
  • cCD68 - Know if Bush or Kerry Favors Patriot Act (Wording #1)
  • cCD69 - Don’t-Know Prompt for cCD68
  • cCD70 - Know if Bush or Kerry Favors Patriot Act (Wording #2)
  • cCD71 - Don’t-Know Prompt for cCD70
  • cCD72 - Favor 9/11 Recommendations
  • cCD73 - Know if Bush Favors 9/11 Recommendations
  • cCD74 - Know if Kerry Favors 9/11 Recommendations
  • cCD75 - Bin Laden Wants Bush or Kerry to Win
  • cCD76 - Bush Did Everything Possible Against Al Qaeda Before 9/11
  • cCD77 - Bush Responsible for Bin Laden at Large
  • cCD78 - Bush or Kerry Has Plan for Bin Laden
  • cCD79 - Bush or Kerry Better at Protecting Soviet Nuclear Materials
  • cCD80 - Don’t-Know Prompt for cCD79
  • cCD81 - Job Bush Did Protecting Soviet Nuclear Materials
  • cCD82 - Favor Restricting Immigration
  • cCE01 - Favor Banning All Abortions
  • cCE02 - Favor Making Abortion More Difficult
  • cCE03 - Know if Bush or Kerry Favors Making Abortion More Difficult
  • cCE04 - Don’t-Know Prompt for cCE03
  • cCE05 - Favor Banning Late-Term Abortions (Wording #1)
  • cCE06 - Favor Banning Late-Term Abortions (Wording #2)
  • cCE07 - Favor Stem Cell Funding (Wording #1)
  • cCE08 - Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)
  • cCE09 - Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)
  • cCE10 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)
  • cCE11 - Don’t-Know Prompt for cCE10
  • cCE12 - Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)
  • cCE13 - Don’t-Know Prompt for cCE12
  • cCE14 - Favor Additional Stem Cell Lines
  • cCE15 - Know if Bush or Kerry Favors Additional Stem Cell Lines
  • cCE16 - Don’t-Know Prompt for cCE15
  • cCE17 - Favor Federal Marriage Amendment (Wording #1)
  • cCE18 - Favor Federal Marriage Amendment (Wording #2)
  • cCE19 - Favor Federal Marriage Amendment (Wording #3)
  • cCE20 - Favor Federal Marriage Amendment (Wording #4)
  • cCE21 - Favor Federal Marriage Amendment (Wording #5)
  • cCE24 - Favor State Law Allowing Same-Sex Marriage (Wording #1)
  • cCE25 - Favor State Law Allowing Same-Sex Marriage (Wording #2)
  • cCE26 - Favor State Law Allowing Civil Unions
  • cCE27 - More Likely to Vote for Candidate Favoring Same-Sex Unions
  • cCE28 - Favor Gays in Military
  • cCE29 - Favor Prohibiting Employment Discrimination Against Gays
  • cCE30 - Offended by Redskins’ Name
  • cCE31 - Favor Gun Control
  • cCE32 - Favor Congress Extending Assault Weapons Ban
  • cCE33 - Favor Assault Weapons Ban (No Strongly Follow-Up)
  • cCE34 - Favor Assault Weapons Ban (Strongly Follow-Up)
  • cCE35 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)
  • cCE36 - Don’t-Know Prompt for cCE35
  • cCE37 - Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)
  • cCE38 - Don’t-Know Prompt for cCE37
  • cCF02 - Bush or Kerry Would Do More on Foreign Oil
  • cCF03 - Don’t-Know Prompt for cCF02
  • cCF04 - Bush Will Do More Than Kerry on Foreign Oil
  • cCF05 - Gas Prices Caused Personal Financial Hardship (Wording #1)
  • cCF06 - Gas Prices Caused Personal Financial Hardship (Wording #2)
  • cCF07 - Intend to Change Vacation Plans Because of Gas Prices
  • cCF08 - Favor Government Doing More on Environment
  • cCF09 - Global Warming Is Serious Problem
  • cCG01 - Favor Limiting Lawsuits (No Strongly Follow-Up)
  • cCG02 - Favor Limiting Lawsuits (Strongly Follow-Up)
  • cCG03 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)
  • cCG04 - Don’t-Know Prompt for cCG03
  • cCG05 - Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)
  • cCG06 - Don’t-Know Prompt for cCG05
  • cCG07 - Favor Limiting Malpractice Awards
  • cCG08 - Know if Bush or Kerry Favors Limiting Malpractice Awards
  • cCG09 - Don’t-Know Prompt for cCG08
  • cCH01 - Supreme Court Important in Vote
  • cCH02 - Comfortable With Bush Making Supreme Court Nominations
  • cCH03 - Comfortable With Kerry Making Supreme Court Nominations
  • cCH04 - Know Supreme Court Salary
  • cCH05 - Don’t-Know Prompt for cCH04
  • cCH06 - Supreme Court Salary Too High
  • cCH07 - Know President’s Salary
  • cCH08 - Don’t-Know Prompt for cCH07
  • cCH09 - President’s Salary Too High
  • cDA01 - Important That Democrats Nominate Vietnam Veteran
  • cDA02_1 - Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA02_2 - Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA02_3 - Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA02_4 - Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA02_5 - Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA03 - Don’t-Know Prompt for cDA02
  • cDA04_1 - Know Candidate Who Is Vietnam Veteran, 1 of 5
  • cDA04_2 - Know Candidate Who Is Vietnam Veteran, 2 of 5
  • cDA04_3 - Know Candidate Who Is Vietnam Veteran, 3 of 5
  • cDA04_4 - Know Candidate Who Is Vietnam Veteran, 4 of 5
  • cDA04_5 - Know Candidate Who Is Vietnam Veteran, 5 of 5
  • cDA05 - Don’t-Know Prompt for cDA04
  • cDA06 - Approve of Kerry’s Anti-War Activities
  • cDA07 - Kerry’s Anti-War Activities Will Affect Vote
  • cDA08 - Kerry Earned Vietnam Medals
  • cDA09 - Familiar With Kerry’s Anti-War Statements
  • cDA10 - Approve of Kerry’s Anti-War Statements (Wording #1)
  • cDA11 - Approve of Kerry’s Anti-War Statements (Wording #2)
  • cDA12 - Watched or Familiar With Swift Boat Ad
  • cDA13 - Swift Boat Ad Believable
  • cDA14 - Bush Campaign Behind Swift Boat Ad
  • cDA15 - Bush Fulfilled National Guard Obligations
  • cDA16 - Bush in National Guard Will Affect Vote
  • cDA17 - Know if Bush or Kerry Is Former Prosecutor
  • cDA18 - Don’t-Know Prompt for cDA17
  • cDA19_1 - Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5
  • cDA19_2 - Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5
  • cDA19_3 - Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5
  • cDA19_4 - Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5
  • cDA19_5 - Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5
  • cDA20 - Don’t-Know Prompt for cDA19
  • cDA21_1 - Know Democratic Candidate Who Was House Majority Leader, 1 of 5
  • cDA21_2 - Know Democratic Candidate Who Was House Majority Leader, 2 of 5
  • cDA21_3 - Know Democratic Candidate Who Was House Majority Leader, 3 of 5
  • cDA21_4 - Know Democratic Candidate Who Was House Majority Leader, 4 of 5
  • cDA21_5 - Know Democratic Candidate Who Was House Majority Leader, 5 of 5
  • cDA22 - Don’t-Know Prompt for cDA21
  • cDA23_1 - Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5
  • cDA23_2 - Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5
  • cDA23_3 - Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5
  • cDA23_4 - Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5
  • cDA23_5 - Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5
  • cDA24 - Don’t-Know Prompt for cDA23
  • cDA25_1 - Know Democratic Candidate Who Was a General, 1 of 5
  • cDA25_2 - Know Democratic Candidate Who Was a General, 2 of 5
  • cDA25_3 - Know Democratic Candidate Who Was a General, 3 of 5
  • cDA25_4 - Know Democratic Candidate Who Was a General, 4 of 5
  • cDA25_5 - Know Democratic Candidate Who Was a General, 5 of 5
  • cDA26 - Don’t-Know Prompt for cDA25
  • cDA27_1 - Know Democratic Candidate Who Was Governor of Vermont, 1 of 5
  • cDA27_2 - Know Democratic Candidate Who Was Governor of Vermont, 2 of 5
  • cDA27_3 - Know Democratic Candidate Who Was Governor of Vermont, 3 of 5
  • cDA27_4 - Know Democratic Candidate Who Was Governor of Vermont, 4 of 5
  • cDA27_5 - Know Democratic Candidate Who Was Governor of Vermont, 5 of 5
  • cDA28 - Don’t-Know Prompt for cDA27
  • cDA29_1 - Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5
  • cDA29_2 - Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5
  • cDA29_3 - Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5
  • cDA29_4 - Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5
  • cDA29_5 - Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5
  • cDA30 - Don’t-Know Prompt for cDA29
  • cEA01 - Watched Network News in Past Week
  • cEA02 - Network News Channel Watched Most
  • cEA03 - Watched Cable News in Past Week
  • cEA04 - Cable News Channel Watched Most
  • cEA04_ - Cable News Channel Watched Most, Verbatim
  • cEA05 - Attention to Political News on Network or Cable TV in Past Week
  • cEA06 - Watched Local News in Past Week
  • cEA07 - Attention to Political News on Local TV in Past Week
  • cEA08 - Watched Spanish News in Past Week
  • cEA09 - Watched BET News in Past Week
  • cEA10 - Read Newspaper in Past Week
  • cEA11 - Newspaper Read Most
  • cEA11_ - Newspaper Read Most, Verbatim
  • cEA12 - Read Wall Street Journal Editorial Page
  • cEA13 - Attention to Political News in Newspaper in Past Week
  • cEA14 - Listened to NPR in Past Week
  • cEA15 - Listened to Talk Radio Other Than NPR in Past Week
  • cEA16_1 - Talk Radio Programs Listened to in Past Week, 1 of 5
  • cEA16_2 - Talk Radio Programs Listened to in Past Week, 2 of 5
  • cEA16_3 - Talk Radio Programs Listened to in Past Week, 3 of 5
  • cEA16_4 - Talk Radio Programs Listened to in Past Week, 4 of 5
  • cEA16_5 - Talk Radio Programs Listened to in Past Week, 5 of 5
  • cEA16_ - Talk Radio Programs Listened to in Past Week, Verbatim
  • cEA17 - Talk Radio Program Listen to Most
  • cEA17_ - Talk Radio Program Listen to Most, Verbatim
  • cEA18 - Watched Late-Night Comedy in Past Week
  • cEA19 - Late-Night Comedy Program Watched Most (Wording #1)
  • cEA19_ - Late-Night Comedy Program Watched Most (Wording #1), Verbatim
  • cEA20 - Late-Night Comedy Program Watched Most (Wording #2)
  • cEA20_ - Late-Night Comedy Program Watched Most (Wording #2), Verbatim
  • cEA21 - Have Online Access
  • cEA22 - Accessed Political Information Online in Past Week (Wording #1)
  • cEA23 - Accessed Political Information Online in Past Week (Wording #2)
  • cEA24_1 - Source of Online Political Information in Past Week, 1 of 3
  • cEA24_2 - Source of Online Political Information in Past Week, 2 of 3
  • cEA24_3 - Source of Online Political Information in Past Week, 3 of 3
  • cEA24_ - Source of Online Political Information in Past Week, Verbatim
  • cEA25 - Media Have Decided Democratic Frontrunner
  • cEA26 - Democratic Candidate Who Media Think Is Frontrunner
  • cEA27_1 - Source of Information About General Election Results, 1 of 5
  • cEA27_2 - Source of Information About General Election Results, 2 of 5
  • cEA27_3 - Source of Information About General Election Results, 3 of 5
  • cEA27_4 - Source of Information About General Election Results, 4 of 5
  • cEA27_5 - Source of Information About General Election Results, 5 of 5
  • cEA27_ - Source of Information About General Election Results, Verbatim
  • cEA28 - TV Channel Watched for General Election Coverage
  • cFA03 - Watched Sept. 30 Bush-Kerry Debate
  • cFA04 - TV Channel Watched for Sept. 30 Bush-Kerry Debate
  • cFA04_ - TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim
  • cFA05 - Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)
  • cFA06 - Bush Did Better Than Expected in Sept. 30 Debate
  • cFA07 - Kerry Did Better Than Expected in Sept. 30 Debate
  • cFA08 - Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)
  • cFA09 - Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)
  • cFA10 - Watched Oct. 8 Bush-Kerry Debate
  • cFA11 - TV Channel Watched for Oct. 8 Bush-Kerry Debate
  • cFA11_ - TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim
  • cFA12 - Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)
  • cFA13 - Bush Did Better Than Expected in Oct. 8 Debate
  • cFA14 - Kerry Did Better Than Expected in Oct. 8 Debate
  • cFA15 - Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)
  • cFA16 - Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)
  • cFA17 - Watched Oct. 13 Bush-Kerry Debate
  • cFA18 - TV Channel Watched for Oct. 13 Bush-Kerry Debate
  • cFA18_ - TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim
  • cFA19 - Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)
  • cFA20 - Bush Did Better Than Expected in Oct. 13 Debate
  • cFA21 - Kerry Did Better Than Expected in Oct. 13 Debate
  • cFA22 - Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)
  • cFA23 - Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)
  • cFA24 - Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate
  • cFA25 - Watched Cheney-Edwards Debate
  • cFA26 - TV Channel Watched for Cheney-Edwards Debate
  • cFA26_ - TV Channel Watched for Cheney-Edwards Debate, Verbatim
  • cFA27 - Cheney or Edwards Did Best in Debate (Watched Debate)
  • cFA28 - Cheney Did Better Than Expected in Debate
  • cFA29 - Edwards Did Better Than Expected in Debate
  • cFA30 - Familiar With Cheney-Edwards Debate (Did Not Watch)
  • cFA31 - Cheney or Edwards Did Best in Debate (Did Not Watch)
  • cFA37 - Watched Any General Election Debates
  • cFB01 - Know When Democratic Convention Held
  • cFB02 - Watched Clinton’s Convention Speech
  • cFB03 - Watched Edwards’ Convention Speech
  • cFB04 - Watched Kerry’s Convention Speech
  • cFB05 - Watched Coverage of Democratic Convention
  • cFB06 - Know When Republican Convention Held
  • cFB07 - Watched Zell Miller’s Convention Speech
  • cFB08 - Watched Cheney’s Convention Speech
  • cFB09 - Watched Bush’s Convention Speech
  • cFB10 - Watched Coverage of Republican Convention
  • cFB11 - Convention That Was More Accurate in Describing Other
  • cFC01 - Watched Campaign Ads in Past Week
  • cFC02 - Typically Watch Political Ads
  • cFC03 - Familiar With Bush Campaign Ads
  • cFC04 - Appropriate for Bush Ads to Show 9/11 Damage
  • cFC05 - Appropriate for Bush Ads to Show 9/11 Firefighters
  • cFC06 - Watched Campaign Ads Recently
  • cFC07 - Watched Bush or Kerry Campaign Ads Recently
  • cFC08 - Learning Anything New and True From Campaign Ads
  • cFC09 - Learning Anything New From Campaign Ads
  • cFC10 - Campaign Ads Affected Vote
  • cFD03 - Contacted by Democratic Campaign in Person or by Phone
  • cFD04 - Contacted by Democratic Campaign in Person
  • cFD05 - Contacted by Democratic Campaign by Phone
  • cFD06 - Contacted by Democratic Campaign by Live or Recorded Phone Call
  • cFD07 - Number of Phone Calls From Democratic Campaign
  • cFD08 - Contacted About Election by Group Other Than Democratic Campaign
  • cFD09_1 - Reminded to Vote, 1 of 3
  • cFD09_2 - Reminded to Vote, 2 of 3
  • cFD09_3 - Reminded to Vote, 3 of 3
  • cFD10 - Reminded to Vote by Republicans or Democrats
  • cFD10_ - Reminded to Vote by Republicans or Democrats, Verbatim
  • cFD11 - Reminded to Vote by Advocate for Candidate
  • cFD12_1 - Offered Help to Get Early Ballot, 1 of 4
  • cFD12_2 - Offered Help to Get Early Ballot, 2 of 4
  • cFD12_3 - Offered Help to Get Early Ballot, 3 of 4
  • cFD12_4 - Offered Help to Get Early Ballot, 4 of 4
  • cFD13 - Offered Help to Get Early Ballot by Republicans or Democrats
  • cFD13_ - Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim
  • cFD14 - Offered Help to Get Early Ballot by Advocate for Candidate
  • cFD15 - Received Campaign Brochures
  • cFD16 - Received Campaign Brochures by Mail
  • cFD17 - Received Campaign Emails
  • cFD18 - Received Republican Email Link to Video About Kerry
  • cFD19 - Watched Republican Video on Kerry
  • cFD20 - Republican Video Changed Opinion of Kerry
  • cFE01 - Heard or Read About 2004 State of the Union
  • cFE02 - Watched Bush on “Meet the Press”
  • cFE03 - Familiar With Bush on “Meet the Press” (Did Not Watch)
  • cFE04 - “Meet the Press” Changed Opinion of Bush
  • cFE05 - Watched 9/11 Commission Hearings
  • cFE06 - Familiar With 9/11 Commission Hearings (Did Not Watch)
  • cFE07 - Watched Rice’s Testimony to 9/11 Commission
  • cFE08 - Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)
  • cFE09 - Familiar With Richard Clarke’s Book
  • cFE10 - Believe Clarke’s Charges
  • cFE11 - Watched Reagan Funeral
  • cFE12 - Watched “Fahrenheit 911”
  • cFE13 - “Fahrenheit 911” Changed Opinion of Bush
  • cFE14 - Intend to Watch “Fahrenheit 911”
  • cFE15 - Watched “The Day After Tomorrow”
  • cFF01 - Candidates Criticizing Opponents
  • cFF02 - Candidates Talking About What Would Do if Elected
  • cFF03 - Candidates Talking About Solving Problems
  • cFF04 - Bush Criticizing Opponent
  • cFF05 - Kerry Criticizing Opponent
  • cFF06 - Bush Talking About Solving Problems
  • cFF07 - Kerry Talking About Solving Problems
  • cFF08 - Bush Criticizing Opponent or Talking About Solving Problems
  • cFF09 - Kerry Criticizing Opponent or Talking About Solving Problems
  • cFF10 - Honesty of Bush Campaign
  • cFF11 - Honesty of Kerry Campaign
  • cFF12 - Learned Enough About Democratic Candidates and Issues So Far
  • cFF13 - Learned Enough About Candidates and Issues Before Primary
  • cFF14 - Learned Enough About Bush So Far
  • cFF15 - Learned Enough About Kerry So Far
  • cFF16 - Learned Enough About Candidates and Issues So Far
  • cFF17 - Learned Enough About Candidates and Issues Before General Election
  • cKA01 - Follow Politics
  • cKA02 - Following Democratic Campaign
  • cKA03 - Thought About Primary
  • cKA04 - Following Campaign
  • cKA05 - Interested in Campaign
  • cKB01 - Discussed Politics With Family or Friends in Past Week
  • cKB02 - Type of Politics Discussed With Family or Friends in Past Week
  • cKB03 - Discussed Politics at Work in Past Week
  • cKB04 - Type of Politics Discussed at Work in Past Week
  • cKB05 - Discussed Politics Online in Past Week
  • cKB06 - Type of Politics Discussed Online in Past Week
  • cKC01 - Intend to Participate in Campaign
  • cKC02 - Tried to Influence Others’ Voting
  • cKC03 - Attended Political Meetings
  • cKC04 - Did Other Work for Candidate
  • cKC05 - Donated Money to Candidate
  • cKC06_1 - Method of Donating Money to Candidate, 1 of 4
  • cKC06_2 - Method of Donating Money to Candidate, 2 of 4
  • cKC06_3 - Method of Donating Money to Candidate, 3 of 4
  • cKC06_4 - Method of Donating Money to Candidate, 4 of 4
  • cKC06_ - Method of Donating Money to Candidate, Verbatim
  • cKC07 - Wore Campaign Button or Displayed Sign
  • cMA01 - Party ID
  • cMA01_ - Party ID, Verbatim
  • cMA02 - Strength of Party ID
  • cMA03 - Lean Republican or Democrat
  • cMA04 - Lean Independent or Democrat
  • cMA05 - Lean Independent or Republican
  • cMA06 - Conservative or Liberal
  • cMA07 - Conservative or Liberal on Social Issues
  • cMA08 - Conservative or Liberal on Economic Issues
  • cMB01 - Trust Government (Wording #1)
  • cMB02 - Trust Government (Wording #2)
  • cMB03 - Trust Business Executives
  • cMB04 - Trust Elected Officials
  • cMB05 - Confidence in Executive Branch
  • cMB06 - Confidence in Legislative Branch
  • cMB07 - Confidence in Judicial Branch
  • cMB08 - Confidence in State Elected Officials
  • cMB09 - Confidence in Local Government
  • cMB10 - Politics Too Complicated
  • cMB11 - People Like Me Have No Say in Government
  • cMB12 - Duty to Keep Informed About Politics
  • cMB13 - Does Not Matter if Do Not Follow Politics
  • cMB14 - Presidents Try to Keep Promises
  • cMB15 - Candidates Try to Keep Promises
  • cMB16 - Presidents Make Decisions in Nation’s Interest
  • cMC01 - Know Cheney Is Vice President
  • cMC01_ - Know Cheney Is Vice President, Verbatim
  • cMC02 - Don’t-Know Prompt for cMC01
  • cMC03 - Know Supreme Court Determines Constitutionality of Laws
  • cMC04 - Don’t-Know Prompt for cMC03
  • cMC05 - Know Two-Thirds Majority Overrides Veto
  • cMC05_ - Know Two-Thirds Majority Overrides Veto, Verbatim
  • cMC06 - Don’t-Know Prompt for cMC05
  • cMC07 - Know Republicans Are Majority Party in House
  • cMC08 - Don’t-Know Prompt for cMC07
  • cMC09 - Know Republican Party Is More Conservative
  • cMC10 - Don’t-Know Prompt for cMC09
  • cNA01 - Chance Clark Will Win Primary
  • cNA02 - Chance Dean Will Win Primary
  • cNA03 - Chance Edwards Will Win Primary
  • cNA04 - Chance Gephardt Will Win Primary
  • cNA05 - Chance Kerry Will Win Primary
  • cNA06 - Chance Lieberman Will Win Primary
  • cNA07_1 - Know Candidate Who Won Most Primaries, 1 of 5
  • cNA07_2 - Know Candidate Who Won Most Primaries, 2 of 5
  • cNA07_3 - Know Candidate Who Won Most Primaries, 3 of 5
  • cNA07_4 - Know Candidate Who Won Most Primaries, 4 of 5
  • cNA07_5 - Know Candidate Who Won Most Primaries, 5 of 5
  • cNA08 - Don’t-Know Prompt for cNA07
  • cNA09 - Chance Clark Will Beat Bush
  • cNA10 - Chance Bush Will Beat Clark
  • cNA11 - Random Assignment to cNA09–cNA10
  • cNA12 - Chance Dean Will Beat Bush
  • cNA13 - Chance Bush Will Beat Dean
  • cNA14 - Random Assignment to cNA12–cNA13
  • cNA15 - Chance Edwards Will Beat Bush
  • cNA16 - Chance Bush Will Beat Edwards
  • cNA17 - Random Assignment to cNA15–cNA16
  • cNA18 - Chance Gephardt Will Beat Bush
  • cNA19 - Chance Bush Will Beat Gephardt
  • cNA20 - Random Assignment to cNA18–cNA19
  • cNA21 - Chance Kerry Will Beat Bush
  • cNA22 - Chance Bush Will Beat Kerry
  • cNA23 - Random Assignment to cNA21–cNA22
  • cNA24 - Chance Lieberman Will Beat Bush
  • cNA25 - Chance Bush Will Beat Lieberman
  • cNA26 - Random Assignment to cNA24–cNA25
  • cNB01 - Know Gore’s Endorsement for Primary
  • cNB02 - Gore’s Endorsement of Dean Affects Vote
  • cNB03 - Know Bradley’s Endorsement for Primary
  • cNB11 - Know Madonna’s Endorsement for Primary
  • cNB12 - Know if Bush or Gore Has More Support From Retired Military Leaders
  • cNB13 - Don’t-Know Prompt for cNB12
  • cNB14 - General Election Endorsement by Newspaper Read Most
  • cNB15 - General Election Endorsement Affected Vote
  • cNB15_ - General Election Endorsement Affected Vote, Verbatim
  • cRA01 - Registered to Vote
  • cRA02 - First Time Registered to Vote
  • cRB01 - Democratic Presidential Primary Election Status
  • cRB03 - Intend to Vote in Primary
  • cRB04 - Chance of Voting in Primary
  • cRB05 - Intend to Vote in Republican or Democratic Primary
  • cRB06 - Candidate Intend to Vote for in Democratic Primary
  • cRB07 - Chance of Voting for Different Candidate in Democratic Primary
  • cRB08 - Why Supporting Candidate in Democratic Primary
  • cRB09 - Intend to Early Vote in Democratic Primary
  • cRB10 - Intended Method of Early Voting in Democratic Primary
  • cRB11 - Voted in Primary
  • cRB12 - Voted in Republican or Democratic Primary
  • cRB13 - Candidate Voted for in Democratic Primary
  • cRB14 - When Made Up Mind About Democratic Primary Vote
  • cRB15 - Ever Intended to Vote for Different Candidate in Democratic Primary
  • cRB15_ - Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim
  • cRB16 - Why Supported Candidate in Democratic Primary
  • cRB17 - Early Voted in Primary
  • cRB18 - Method of Early Voting in Primary
  • cRB19 - Date of Early Voting in Primary (Asked Pre-Election)
  • cRB20 - Date of Early Voting in Primary (Asked Post-Election)
  • cRB21 - Would Change Early Vote in Democratic Primary
  • cRB22_1 - Why Did Not Vote in Primary, 1 of 5
  • cRB22_2 - Why Did Not Vote in Primary, 2 of 5
  • cRB22_3 - Why Did Not Vote in Primary, 3 of 5
  • cRB22_4 - Why Did Not Vote in Primary, 4 of 5
  • cRB22_5 - Why Did Not Vote in Primary, 5 of 5
  • cRB22_ - Why Did Not Vote in Primary, Verbatim
  • cRC01 - Intend to Vote in General Election
  • cRC02 - Chance of Voting in General Election
  • cRC03 - Intend to Vote for Bush or Democrat
  • cRC04 - Intend to Vote for Bush or Clark
  • cRC05 - Intend to Vote for Bush or Dean
  • cRC06 - Intend to Vote for Bush or Edwards
  • cRC07 - Intend to Vote for Bush or Kerry
  • cRC08_1 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2
  • cRC08_2 - Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2
  • cRC09_1 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2
  • cRC09_2 - Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2
  • cRC10 - Intend to Vote for Bush, Kerry, or Nader (Wording #1)
  • cRC11 - Intend to Vote for Bush, Kerry, or Nader (Wording #2)
  • cRC12 - Intend to Vote for Bush, Kerry, or Nader (Wording #3)
  • cRC13 - Intend to Vote for Bush, Kerry, or Nader (Wording #4)
  • cRC14 - Intend to Vote for Bush, Kerry, or Nader (Wording #5)
  • cRC15 - Intend to Vote for Bush or Kerry if Nader Not on Ballot
  • cRC16 - Definitely Intend to Vote for Bush in General Election
  • cRC17 - Definitely Intend to Vote for Kerry in General Election
  • cRC18 - Definitely Intend to Vote for Nader in General Election
  • cRC19 - Enthusiastic About Bush-Cheney
  • cRC20 - Upset About Bush-Cheney
  • cRC21 - Enthusiastic About Kerry-Edwards
  • cRC22 - Upset About Kerry-Edwards
  • cRC23 - Supporting Bush Because Against Kerry
  • cRC24 - Supporting Kerry Because Against Bush
  • cRC25 - Bush Should Keep Cheney as Running Mate
  • cRC26 - Intend to Early Vote in General Election
  • cRC27 - Intended Method of Early Voting in General Election
  • cRC28 - Voted in General Election
  • cRC29 - Voted for Bush, Kerry, or Nader
  • cRC30 - Voted for Bush or Kerry (Nader Not on Ballot)
  • cRC32 - Voted for Both Parties in General Election
  • cRC33 - General Election Is First Time Voted
  • cRC34 - When Made Up Mind About General Election Vote
  • cRC35 - When Made Up Mind About General Election Vote More Than Month Before
  • cRC36 - Ever Intended to Vote for Bush in General Election
  • cRC37 - Ever Intended to Vote for Kerry in General Election
  • cRC38 - Supported Bush Because Against Kerry
  • cRC39 - Supported Kerry Because Against Bush
  • cRC40 - Early Voted in General Election
  • cRC41 - Method of Early Voting in General Election
  • cRC42 - Date of Early Voting in General Election (Asked Pre-Election)
  • cRC43 - Date of Early Voting in General Election (Asked Post-Election)
  • cRC44 - Would Change Early Vote in General Election
  • cRC45 - How Would Change Early Vote in General Election
  • cRC46 - Method of Voting at Polling Station in General Election
  • cRC47 - Cast Provisional Ballot in General Election
  • cRC48 - Why Did Not Vote in General Election
  • cRC48_ - Why Did Not Vote in General Election, Verbatim
  • cRC49 - Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)
  • cRC50 - Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)
  • cRD01 - Voted in 2000 General Election
  • cRE01 - Vote Because of Civic Duty or for Candidate or Issue (Wording #1)
  • cRE02 - Voting Only Way to Have Say in Government
  • cRE03 - Voting Best Way to Participate in Politics
  • cRE04 - Important to Vote Even if Candidate Has No Chance
  • cRE05 - Enjoy Voting
  • cRE06 - Vote Because of Civic Duty or for Candidate or Issue (Wording #2)
  • cRE07 - Feel Less American if Do Not Vote
  • cRE08 - Feel Guilty if Do Not Vote
  • cRE09 - People in Family Will Vote (Wording #1)
  • cRE10 - People in Family Will Vote (Wording #2)
  • cRE11 - People in Family Voted
  • cRE12 - Friends Will Vote (Wording #1)
  • cRE13 - Friends Will Vote (Wording #2)
  • cRE14 - Friends Voted
  • cRE15 - People I Know Vote Always
  • cRE16 - Family and Friends Disappointed if I Do Not Vote
  • cRF01 - Would Vote for Female President
  • cRF02 - Would Vote for Hillary Clinton or Bush
  • cRF03 - Would Vote for Feinstein or Bush
  • cRF04 - Would Vote for Elizabeth Dole or Kerry
  • cRF05 - Would Vote for Rice or Kerry
  • cRG01 - Prefer Voting at Polling Station, by Mail, or Online
  • cRG02 - Favor Online Voting
  • cRG03 - More Likely to Vote if Online
  • cRG04 - Support Ending Electoral College (Wording #1)
  • cRG05 - Support Ending Electoral College (Wording #2)
  • cRX01_1 - Random Response Order for Clark in cRB06, cRB13
  • cRX01_2 - Random Response Order for Dean in cRB06, cRB13
  • cRX01_3 - Random Response Order for Edwards in cRB06, cRB13
  • cRX01_4 - Random Response Order for Gephardt in cRB06, cRB13
  • cRX01_5 - Random Response Order for Kerry in cRB06, cRB13
  • cRX01_6 - Random Response Order for Kucinich in cRB06, cRB13
  • cRX01_7 - Random Response Order for Lieberman in cRB06, cRB13
  • cRX01_8 - Random Response Order for Moseley Braun in cRB06, cRB13
  • cRX01_9 - Random Response Order for Sharpton in cRB06, cRB13
  • cRX02_1 - Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_2 - Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX02_3 - Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30
  • cRX03_1 - Random Question Order for cRC04
  • cRX03_2 - Random Question Order for cRC05
  • cRX03_3 - Random Question Order for cRC06
  • cRX03_4 - Random Question Order for cRC07
  • cSA01 - Bush Will Be Good President Even Though Voted for Kerry
  • cSA02 - Election Shows Every Vote Makes a Difference
  • cSA03 - Election Shows Democracy Not Working
  • cSA04 - Permanent Harm Done by Election Process
  • cSA05 - Confident Vote Counted Accurately
  • cSA06 - Confident Vote Will Be Counted Accurately
  • cSA07 - Casting Ballot Was Confusing
  • cSA08 - Certain Vote Cast Accurately
  • cSA09 - Gore Cheated Out of Presidency
  • cUA01 - Congressional District
  • cUA02 - Know Names of Incumbent Senators
  • cUA02_ - Know Names of Incumbent Senators, Verbatim
  • cUA03 - Don’t-Know Prompt for cUA02
  • cUA04 - Favorability of Senator Running for Re-Election
  • cUA05 - House Candidate Voted for in General Election
  • cUA06 - Senate Candidate Voted for in General Election
  • cUA07 - Voted in 2002 Election (Wording #1)
  • cUA08 - Voted in 2002 Election (Wording #2)
  • cUA09 - House Candidate Voted for in 2002
  • cWA01 - Sex
  • cWA02 - Age
  • cWA03 - Education
  • cWA04 - Household Income
  • cWB01 - Employment Status
  • cWB02 - Line of Work (Employed)
  • cWB02_ - Line of Work (Employed), Verbatim
  • cWB03 - Line of Work (Not Currently Employed)
  • cWB03_ - Line of Work (Not Currently Employed), Verbatim
  • cWB04 - Self-Employed
  • cWB05 - Employed by Government
  • cWB06 - Anyone in Household Belongs to Labor Union
  • cWB07 - Any Other Adults in Household Unemployed
  • cWB08 - Know of Anyone Who Lost Job in Past Six Months (Wording #1)
  • cWB09 - Know of Anyone Who Lost Job in Past Six Months (Wording #2)
  • cWB10 - Know of Anyone Who Regained Job in Past Six Months
  • cWB11 - Employed by Business That Exports
  • cWB12 - Employed by Business That Imports
  • cWB13 - Employed by Business That Supplies Imports or Exports
  • cWB14 - Employed by Business That Outsources
  • cWC01 - Hispanic
  • cWC02 - Line of Hispanic Origin
  • cWC02_ - Line of Hispanic Origin, Verbatim
  • cWC03 - Race
  • cWC03_ - Race, Verbatim
  • cWC04 - Born in U.S.
  • cWC05 - U.S. Citizen
  • cWC06 - Years Lived in U.S.
  • cWC07 - Years at Present Address
  • cWD01 - Attend Religious Services
  • cWD02 - Religion (Attend Religious Services)
  • cWD02_ - Religion (Attend Religious Services), Verbatim
  • cWD03 - Religion (Do Not Attend Religious Services)
  • cWD03_ - Religion (Do Not Attend Religious Services), Verbatim
  • cWD04 - Born-Again Christian
  • cWE01 - Anyone in Household Ever Served in Military
  • cWE02_1 - Branch of Military Respondent Ever Served In, 1 of 3
  • cWE02_2 - Branch of Military Respondent Ever Served In, 2 of 3
  • cWE02_3 - Branch of Military Respondent Ever Served In, 3 of 3
  • cWE03_1 - Branch of Military Other Household Member Ever Served In, 1 of 3
  • cWE03_2 - Branch of Military Other Household Member Ever Served In, 2 of 3
  • cWE03_3 - Branch of Military Other Household Member Ever Served In, 3 of 3
  • cWE04 - Anyone in Household Currently in Military
  • cWE05_1 - Branch of Military Respondent Currently Serving In, 1 of 3
  • cWE05_2 - Branch of Military Respondent Currently Serving In, 2 of 3
  • cWE05_3 - Branch of Military Respondent Currently Serving In, 3 of 3
  • cWE06_1 - Branch of Military Other Household Member Currently Serving In, 1 of 3
  • cWE06_2 - Branch of Military Other Household Member Currently Serving In, 2 of 3
  • cWE06_3 - Branch of Military Other Household Member Currently Serving In, 3 of 3
  • cWE07 - Anyone in Household Served in Military Overseas in Past Four Years
  • cWE08_1 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_2 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_3 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_4 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWE08_5 - Location of Overseas Military Service by Anyone in Household in Past Four Years,
  • cWF01 - Total Adults in Household
  • cWF02 - Adults Age 18–22 in Household
  • cWF03 - Total Children in Household
  • cWF04 - Children Age 14–17 in Household
  • cWF05 - Children Age 6–13 in Household
  • cWF06 - Children Under Age 5 in Household
  • cWF07 - Marital Status
  • cWF08 - Census Division
  • cWF09 - Metropolitan Statistical Area
  • cWF10 - County
  • cWF11 - Zip Code (Estimated From Phone)
  • cWF12 - Zip Code (Reported by Respondent)
  • cWF13 - Urbanity
  • cWF14 - Media Market
  • cWF15 - Phone Landlines in Household
  • cWF16 - Have Cell Phone
  • cWG01 - Anyone in Household Owns Gun (Wording #1)
  • cWG02 - Anyone in Household Owns Gun (Wording #2)
  • cWG03 - Anyone in Household Belongs to NRA (Wording #1)
  • cWG04 - Anyone in Household Belongs to NRA (Wording #2)
  • cWG05 - Know of Someone Gay or Lesbian
  • cYA01 - Interviewer ID
  • cYA02 - Interviewer Sex
  • cYA03 - Interviewer Race
  • cYA04 - Interview Language
  • cYA05 - Interviewer’s Evaluation of Interview Overall
  • cYA06 - Interviewer’s Evaluation of Respondent’s Political Knowledge
  • ruling
  • gayfavor
  • xtianfavor
  • protfavor
  • gmfavor
  • direction
  • morals
  • gop
  • democrat
  • protestant
  • mormon
  • catholic
  • bornagain
  • howoften
  • mass
  • florida
  • california
  • iowa
  • white
  • black
  • hispanic
  • female
  • age
  • liberalism
  • fmamdtoppose
  • moderate
  • vpcorr
  • sccorr
  • vetocorr
  • housecorr
  • knowindex
  • unsophisticated
  • FMAintensity
  • intendtovote
  • registered
  • wbornagain
  • week
  • allgayfavor
  • modgayfavor
  • dumbgayfavor
  • bagayfavor

Variables

HITId

f2529497 Location:

Variable Format: character

Notes: UNF:5:auh1uzCX7A//mjERMo7KJg==

HITTypeId

f2529497 Location:

Variable Format: character

Notes: UNF:5:Zfmv4U/LEA8JQZ+aqomBCQ==

Title

f2529497 Location:

Variable Format: character

Notes: UNF:5:+4TF5yNRaXZIYarmovDRew==

Description

f2529497 Location:

Variable Format: character

Notes: UNF:5:+nrFUHzU2I+kZIfjt2D5dA==

Keywords

f2529497 Location:

Variable Format: character

Notes: UNF:5:sAy7LIIWuAxS20KI1uo5gg==

Reward

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ot12LtNWtG8t1siMymE46A==

CreationTime

f2529497 Location:

Variable Format: character

Notes: UNF:5:K0RuiZCFBiD8U9Hy1n4YtA==

MaxAssignments

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:qCwIfmdrsDGhpMBCYj6f+w==

RequesterAnnotation

f2529497 Location:

Variable Format: character

Notes: UNF:5:MpZsV1HXZ1+qQCxL+SpSHA==

AssignmentDurationInSeconds

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:bi3hQZK2ROGytZKAlGzP/w==

AutoApprovalDelayInSeconds

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:JiXIowIDyoxaQDi7FS3sTw==

Expiration

f2529497 Location:

Variable Format: character

Notes: UNF:5:X3k3oWYVtmJUcmdbG1D36A==

NumberOfSimilarHITs

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

LifetimeInSeconds

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

AssignmentId

f2529497 Location:

Variable Format: character

Notes: UNF:5:e4mte6vXaJh3lF1L6Ta16g==

WorkerId

f2529497 Location:

Variable Format: character

Notes: UNF:5:fRG4wxS0X/ZXFP9ZW4g8pA==

AssignmentStatus

f2529497 Location:

Variable Format: character

Notes: UNF:5:wgGqTihS+JvC97+2bf0UYg==

AcceptTime

f2529497 Location:

Variable Format: character

Notes: UNF:5:2oSPAKfPtccIMw01S6VY9Q==

SubmitTime

f2529497 Location:

Variable Format: character

Notes: UNF:5:+UQSjSnEs7O6g31uHxvCkw==

AutoApprovalTime

f2529497 Location:

Variable Format: character

Notes: UNF:5:4YdtbzW6nklzzfJnZLfeBw==

ApprovalTime

f2529497 Location:

Variable Format: character

Notes: UNF:5:j8W0Z/F3K1C9RAoUWyo+rQ==

RejectionTime

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

RequesterFeedback

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

WorkTimeInSeconds

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:N1E29dwH1eoBWh/df7CUBw==

LifetimeApprovalRate

f2529497 Location:

Variable Format: character

Notes: UNF:5:PrYLBX2sJWkap5tZDiLcJQ==

Last30DaysApprovalRate

f2529497 Location:

Variable Format: character

Notes: UNF:5:MV57Kh1s04bN91SM1tSpLQ==

Last7DaysApprovalRate

f2529497 Location:

Variable Format: character

Notes: UNF:5:dBBL9ppZ35RQ5OhQSiPOiA==

Answer.Q2age

f2529497 Location:

Variable Format: character

Notes: UNF:5:w5gfMAxNclf7H9dSemam/Q==

Approve

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Reject

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

repeater

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:e3YOSQk9xIHiDegA8RWOkw==

V1

f2529497 Location:

Variable Format: character

Notes: UNF:5:w5gfMAxNclf7H9dSemam/Q==

V2

f2529497 Location:

Variable Format: character

Notes: UNF:5:/oHCOBFd4LvVJeN6ajyeBg==

V3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:JeUq9n6kul56+dB/8zIKcQ==

V4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:nWx/5ktxvRZ5Rch88yMPfg==

V5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rbGdlG6A/1U6qX0WZUJNAg==

ver

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:u4JCVb7YvQxLJiQL1W9GwA==

ssminform

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dc68JpMFzQIQ6nuozvMgcA==

ssmconsent

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dc68JpMFzQIQ6nuozvMgcA==

Q96_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:AK4hBSNEUojZQpDoeewvRA==

Q96_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:iSqpYVg4QFqOVFjCwuBy/w==

Q96_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:FwxoFYhkTIMbn/YuwEmX3Q==

Q96_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:4tWIC5GohGQJbku1tsKxuQ==

imminform

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immconsent

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q236_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q236_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q236_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q236_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

metainfo_1_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:+RnCUsaF4AQtqbvikWCWIA==

metainfo_2_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:cXTcEbUEednwpDq/PiBwXw==

metainfo_3_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:+JchCgqMThj+rZLM4thyow==

metainfo_4_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:/KpvxE52tvuSdKiM7hYyuw==

metainfo_5_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:08SyZqALf0sYu6eWn6D+Hw==

metainfo_6_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:LZw+ka6bghG489J5TJJskg==

metainfo_7_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:N7P/PxkiW2By37VXoPTkRQ==

regvote

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:bf9FBcQfiCMV3jNqLaXsfA==

state

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rk77F1wSa60PeYPT3BHGaA==

female

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:HVv8ae3Du+u3IiPzR8KZLA==

pkhouse

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:CAFQMiIPgRdprG0l7S9TKA==

pkconst

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:qR7POEbgBSVvX+7K5lWSXg==

pkbiden

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:WZWLAKI2mX9bTNiqTxAsbA==

pkparty

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:NKHMbV4DsY7zfkm/aUYiQA==

pkveto

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:3jOfJ8xBSjaWqQlGTRR8WQ==

follow

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:VopiF+Eba43p6+0G8UaitA==

news

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/NeMlWMWUCbC0ZH5OOy0eQ==

SDO_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:NF4y9OhTeP9s6pPwUPIbrg==

SDO_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Oj+LPRA9mORDZupHmtNZ7w==

SDO_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:5Ri3tboMuEeP24aoyaRwVA==

SDO_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:hpK+S7XRXSLTRf+idmMvkg==

SDO_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:6bX+dQEI9o1iXFWrqoL+Vw==

SDO_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:DPjr+ndkrwBornNVOduPyQ==

coerce_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:OXkNOOjVy95ipEcp9uXyDA==

coerce_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:FEe6EZuTz84PRfjS4tqbdA==

coerce_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:LP1EYutKv8tFOxHIXFZi7g==

coerce_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:TrgU3mPhUeajMIKiizMkZg==

coerce_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:MrssrqIlZbD8nZPedyDlsA==

coerce_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:hnL5tUUmGPy43+SGz6YdZw==

coerce_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:mbMWC1GPoB6O82BnZkYHow==

SWB

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rbGdlG6A/1U6qX0WZUJNAg==

SWBa

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:PMsvOzu5/NJceqtDITSs2Q==

SWBb

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:yEkvp12D23CGn/vj4wQ32A==

SWBc

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Tp244aKeoBIyTWEpZ/vE1A==

SWBd

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:+x6gWjlJHCUYDpk7M1MLLw==

relserv

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:MQxOPRGH4mpBKCLIE3k+Cg==

bornagain

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2NNqCtdajZ43kj4oppGNqg==

relid

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:SpPPqhZN3qu7fgHjKVjHdg==

pray

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:bogNXK3pEUmA07fQJTOV5w==

ssmthreat1_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:3QroyTGj1N860D1QGj4TEA==

ssmthreat1_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ElIIqUeLIqJWvEmhr7ynsA==

ssmthreat1_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:GzPVJBzhcdDZRV40qLh5rA==

ssmthreat1_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:tusGN08WD6fERYts3mcy2A==

ssmthreat1_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:5ZOmqmejrN81PfxJvyD/Cg==

ssmthreat1_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:QKlfeyAz4DLsPqKzGmMWgQ==

ssmthreat1_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:vWc6QIk/Uw5DlqUwIddAFw==

ssmthreat1_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:fbofbLxeJ8v9hW+74WOB0Q==

ssmthreat1_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:n1GI7HLxoH1xlEopgsKrgg==

ssmthreat1_10

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:FSv6R9qZZXNId1/OvZN4HA==

ssmthreat2_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:jFGY2urTms7jbGKXHGYHCQ==

ssmthreat2_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ZYCw4U3ZRNZIIRAUPr+spA==

ssmstype_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:I9Ynh3pxZEdy7JhSgDfgcg==

ssmstype_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:uryRVFt7/mterjyG5Bj5cQ==

ssmstype_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:haCpDB0wrxNrvS1C5kQ6ug==

ssmstype_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:vuLRzUgE9nh1klSwI7FQ5Q==

ssmstype_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:KJ8msdS5VobM7zuH2HkGFQ==

ssmstype_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:QN67a7wcuFGq2MFBpp0ItQ==

ssmstype_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:fq4wa+0xFafrutwTGubvNA==

ssmstype_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:HWM75z5F8PUsRMtKsXutQw==

ssmstype_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:FOvmwIxp7mhH3eUuUW37lw==

immthreat1_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat1_10

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat2_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immthreat2_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

takejobs

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstype_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

stroop

f2529497 Location:

Variable Format: character

Notes: UNF:5:uHNArui6QYLCoXrE+rw6yw==

time2_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:QgGYlPqFNHQAylKM0baZng==

time2_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:gFGxaI22KOTtj9wLL/mvlg==

time2_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:iaOaTxmEwejP1k2SEKcTSA==

time2_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:28BLGd1xzXHAyoHkWztyhA==

tgun

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:8wZQtVO7Sc4PjfxWqDDSIQ==

vigtime_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:LkSe9aiKUQfNu6ddioymHw==

vigtime_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2pkWr5BXy46hQmMhYSLjNw==

vigtime_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:NZDZRXEJxqwotPYPvP089g==

vigtime_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:RNBEUYrb6jrZudd2/q38KQ==

gaymar

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:JM+HhNZFyeJAUHh3RPJMZA==

Q48_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:DewlQpenflEpvIhutnypJA==

Q48_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:IhCBkBoJh5GaU7SR0PRiNQ==

Q48_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:fbDyyi2X+XVXKuI0tX+WQg==

Q48_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2PkIG0k6UtAvAnVazBMbPA==

ssmimport

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:nFzaiyv4iNwmQjBEa9TKqw==

soc_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:JKKlNyJm6JkwUw2hkxi2sg==

soc_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:qCU6tAyMd1pK1ptCgLDvDA==

soc_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:KLiqGtoE+X3uVxE8MU4SFg==

soc_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/CevBHfVQKtL6ZYIZi1wlQ==

soc_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:wA7aChav4j5A8xSJswulBg==

soc_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:PcH4UdhQKfuxj4qy78unQw==

Q59_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:cmxFQvdIMLKwRzWMBzuD5g==

Q59_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:9lZvWcDtWs2AztlUH/VHzA==

Q59_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dMtPMVMHTgYBWmE5ti5AaQ==

Q59_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:xLwQzPf3IX0+bW38x3WPxg==

therm1_22_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:8bi+6Uiv0ipWch2/Fw4GJg==

therm1_23_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:KOm2E5suiEE8LENeGCUXRA==

therm1_24_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:9RRZmwdXKvOU2jb2tCAueA==

therm1_25_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:xClCw5gDW8J0wqXOkRN0Qg==

therm1_27_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:CVolj0LSawonoVycFUfs7g==

therm1_28_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dnO23OEK2k6A+yqpbE/Z+g==

therm1_29_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:xpeAy9ekqrRP/HW0NobjVg==

Q58_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:uy7IlpZXaQjox3p1rWqt0A==

Q58_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rzx2ZmmvCQ205Hm0dNs/zA==

Q58_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:P2TTndKqWg6u8ifnDMS/QA==

Q58_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:BkishS6+xHEw/5aHgc1ubw==

therm2_21_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:y1iA6nIsCoidCe6HnfZn0g==

therm2_22_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:mmk/f5xBjcoVwbQrWDjI4Q==

therm2_23_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:6lmhEWuC7MHOlWHUqeRcCw==

therm2_24_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:UM+WJrbtkbYb8bfYOaYrXA==

therm2_25_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:HBkrW25/682iCBe+9TEXew==

therm2_26_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:BovrXe6hygNpGELuCqyQmw==

therm2_27_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:4tQyATGFZ9lwsJLOeIl4QA==

Q57_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:MLUv/z8A/xO0zg9AvEbsNA==

Q57_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Sb6+EtGt/SLrDZYjCGfVYQ==

Q57_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Q8OLGpQNjfvfoiwXPpFB7g==

Q57_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:EQgB829m3O1drkjNldoOgg==

gayreact

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:GoseNdCncl+n/ZCQHvJEPA==

Q61_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:hnTP5wlFB4W9dggGsiz8cA==

Q61_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:qhydAHmPJ+Sqvj+5+etwsQ==

Q61_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:IuKXuaI/v/jcH9YQ78Vbfw==

Q61_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:m7oNQRTgXUoA8HKLhGT+QA==

immpath

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q88_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q88_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q88_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q88_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immimport

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

soc_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q94_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q94_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q94_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q94_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_22_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_23_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_24_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_25_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_27_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_28_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm1_29_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q98_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q98_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q98_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q98_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immproof

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immreq

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_21_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_22_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_23_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_24_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_25_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_26_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

therm2_27_1_TEXT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q106_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q106_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q106_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q106_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immreact

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q110_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q110_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q110_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

Q110_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

education

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:9EEOxcjdDrKrCCVGZvZ4dA==

empstatus

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:HlmFsnrkN0OmK50sxn34ug==

marstatus

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:GZ487TFugt4TPfPFRfN5qw==

age

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:D+WKSmFJ9MBFFpF5BD6DxQ==

race_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:IlCDAZKWlFIidHEUHXHjtw==

race_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:zDbn1+H50BmXy05Ftrwwjw==

race_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ORgIK29ukqmDoXvUpJwZtA==

race_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:S5TyZu15AmZ7Lybt00WAYQ==

race_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:+kTmyF80i/5lVehdOnIPYw==

race_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ONVuBoL7LtMuMhFPndNFVg==

race_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Aa5bjuHubdYjaBXk9SwNQQ==

race_7_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:JWMV03anH3otPn/EiIqbTA==

income

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:IHlpOMbL6jNWmdiBmUdVNg==

gayrel

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:0J9GOM5SvSqEotlFXqKMyw==

gayfrnd

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:u3b6GArJu4VLeTceFGuZ8A==

manygay

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:fcyeBcnjT7gJdYGJF7XKqA==

gayles

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ymi4QQYhBoY+TcFbU4OFZQ==

immrel

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immfrnd

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

manyimm

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

immstat

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:/TNM7zkV5DeiL6ogz4veUQ==

partyid

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:VlPiR4ulRVbdyWxXq+ShIw==

partyid_TEXT

f2529497 Location:

Variable Format: character

Notes: UNF:5:AxsN/kNkRW5mZz53L+zu0A==

partystren

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:lSeR3sS+MWgGrmpBfr50og==

partylean

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:jX0JsdFu3VZ2VPu3eUURgQ==

ideologya

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:C50HNy5xFHr0n7X6nrrE/g==

ideologyb

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dIbv283pMFOiseOcZODQKg==

manip1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:qyrCwxaMpEyTAPpZO5NKrA==

manip2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:iicrL5XGPMUfZlMXaRWnZg==

openend

f2529497 Location:

Variable Format: character

Notes: UNF:5:Lpr1xZEj+5mK+RMR+UV8yw==

Q103_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2T+oUZfqhHHnloc53Mf5iQ==

Q103_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:nJXnVvXEDFS+a2jeIMn/Sw==

Q103_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:On+ZCLovxbuoh8mqBIg1LQ==

Q103_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:PFJ8z9nUlyg8hshSNMaqWQ==

Q102

f2529497 Location:

Variable Format: character

Notes: UNF:5:/ZBvKVM9y4Q7H2Hhqovlvw==

merge

f2529497 Location:

Value

Label

Frequency

Text

1.

master only (1)

0

4.

missing updated (4)

0

5.

nonmissing conflict (5)

0

2.

using only (2)

0

3.

matched (3)

2402

Variable Format: numeric

Notes: UNF:5:gT9dggmLnkcEkC/uZQw0lw==

inform

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:RgEhw3YJQqSt0bYdHehf4w==

consent

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:RgEhw3YJQqSt0bYdHehf4w==

time_cons_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:hXVSsmczb44jeKNwL26lsQ==

time_cons_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:4rSf/MK1ImAZ184oewQ1Nw==

time_cons_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:RaNL5NbPHu+osItkswua+w==

time_cons_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ApPf3lk/zWwL7huKzsFBdw==

threat1_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:c0kakXQEqCWWHUXtqo6yrg==

threat1_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:CD8jl421ZvwOSsJxYndVvQ==

threat1_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:6USbL/aMmpZycizJ2JEhjw==

threat1_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:xV0N3Frnd/tx9yHGXxLAuA==

threat1_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:5if/Ze/oK9l0gKcTIG5hRQ==

threat1_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:eelTZoghYkV5rXS+MB6bqA==

threat1_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:XJGyWNuxPC90HMe6YLFpYg==

threat1_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:R06wMNyHU6fuPFAUpgtAUA==

threat1_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:jCOIQxbrvNc2RTV80RNdDA==

threat1_10

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:zqLEEzRIoROJb2OUZ7OFGA==

threat2_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:IUp3xGnqeD3nHqo95yoCqw==

threat2_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:diVe7Hm0Q7wI+ANqxr+k8g==

stype_1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:95t2yoQ27bdFF4fxL9hqQw==

stype_2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:lV/GmuWKLyP2SyO0GHuEMg==

stype_3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:t2lWcKPY0aMUNuuQcoQjQw==

stype_4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2IPgow1sgfu2rbUtza5MkA==

stype_5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:OdSEVolBRuoa0aEvem3v0w==

stype_6

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ugU7agTO8tTc0pdpPCwU9w==

stype_7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:msAZLWeWmXFp7fa1ZeN2tQ==

stype_8

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:6MCdisHGBTI3DKM+87UsVg==

stype_9

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ppDztwgpT8qfmlMScqgpMQ==

tcourt

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:YNDlE6Zn9DTKJU9CYY+gZA==

tleg

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:QwxNsn4T8+5zkJzwXJ6gcg==

tpride

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:CDzj9cTxXWY+5H/NsG2IhA==

tref

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rKy8xWU1aqP/6154vcOaSQ==

importance

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dRpo7pBQKFKx2I90+Keueg==

post_SCOTUS

f2529497 Location:

Value

Label

Frequency

Text

0.

post_SCOTUS announcement

0

1.

pre_SCOTUS announcement

0

Variable Format: numeric

Notes: UNF:5:fIX+Hkju78qI/4FP9uZWvA==

treat

f2529497 Location:

Value

Label

Frequency

Text

3.

gun/control

0

4.

parade

0

5.

referenda

0

2.

legislature

0

1.

court

0

Variable Format: numeric

Notes: UNF:5:KbsjyCSTdWBO1gum4OvcVg==

leg_c

f2529497 Location:

Value

Label

Frequency

Text

0.

court condition

0

1.

others

0

Variable Format: numeric

Notes: UNF:5:bX6LxjfQz4yt2IwqWx0H6g==

leg_c

f2529497 Location:

Value

Label

Frequency

Text

0.

legislature condition

0

1.

others

0

Variable Format: numeric

Notes: UNF:5:+Tp8XFpRaaTtjRCXlIE+lA==

gun_c

f2529497 Location:

Value

Label

Frequency

Text

0.

gun condition

0

1.

others

0

Variable Format: numeric

Notes: UNF:5:24mM3qZO63JeFQZba/blUw==

parade_c

f2529497 Location:

Value

Label

Frequency

Text

1.

others

0

0.

parade condition

0

Variable Format: numeric

Notes: UNF:5:Jg08FX4vD+qiHzcbvEAnlw==

ref_c

f2529497 Location:

Value

Label

Frequency

Text

1.

others

0

0.

parade condition

0

Variable Format: numeric

Notes: UNF:5:e7Mk0sDZjqHxG2zASvB1ug==

refvgun

f2529497 Location:

Value

Label

Frequency

Text

0.

referenda

0

1.

gun/control

0

Variable Format: numeric

Notes: UNF:5:1xd18LXr/DQje9n1swga3g==

courtvgun

f2529497 Location:

Value

Label

Frequency

Text

1.

gun/control

0

0.

court

0

Variable Format: numeric

Notes: UNF:5:bXMPDMnIk7wcWC1bos88bA==

legvgun

f2529497 Location:

Value

Label

Frequency

Text

1.

gun/control

0

0.

legislature

0

Variable Format: numeric

Notes: UNF:5:XURjYSZjdAXd6DHpg2l4sw==

paradevgun

f2529497 Location:

Value

Label

Frequency

Text

1.

gun/control

0

0.

parade

0

Variable Format: numeric

Notes: UNF:5:OlJ6yGWVegjp0o81diXKgQ==

gayvcontrol

f2529497 Location:

Value

Label

Frequency

Text

1.

gun/control

0

0.

gay content

0

Variable Format: numeric

Notes: UNF:5:24mM3qZO63JeFQZba/blUw==

courtvref

f2529497 Location:

Value

Label

Frequency

Text

1.

court

0

0.

legislature

0

Variable Format: numeric

Notes: UNF:5:EXtMzgiGusPXv9AaE2G6LA==

courtvref

f2529497 Location:

Value

Label

Frequency

Text

0.

referenda

0

1.

court

0

Variable Format: numeric

Notes: UNF:5:5XmD9SomJiReScKZwzjg2A==

courtlegvparade

f2529497 Location:

Value

Label

Frequency

Text

1.

parade

0

0.

court & legisalture

0

Variable Format: numeric

Notes: UNF:5:PNUjEHn30oxxaNMmUHGuPw==

regvote1

f2529497 Location:

Value

Label

Frequency

Text

2.

no

0

1.

yes

0

Variable Format: numeric

Notes: UNF:5:eYrbTknb1mpeGywTbJfcrQ==

know1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:+LA95rK7KXdj8js5/IVhjg==

know2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:3ag39Ap/UzsNdjKZRzGvTQ==

know3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:mqYRYN/wRM6OLA5Up4rueA==

know4

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:AWqG2KXxY7ly8Bbp30h7Eg==

know5

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:W0IqSQyI7eCboxFw+wB2wQ==

knowledge

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:3sKaRW1H8eqsknrHnWBt5A==

unsoph

f2529497 Location:

Value

Label

Frequency

Text

0.

sophisticated (4 or 5 correct)

0

1.

unsophisticated (3 or less correct)

0

Variable Format: numeric

Notes: UNF:5:yBz8h4QOLaKttm/cpMhX/w==

ideo7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:EEH664r2KbL2gQpTuocc6A==

ideo3

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:rnDARSh7EvSdOpNa70fZEg==

party7

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:2HrskxG6raOHY++lgyGdxA==

moderates

f2529497 Location:

Value

Label

Frequency

Text

0.

dems gop non-leaners

0

1.

independents + leaners

0

Variable Format: numeric

Notes: UNF:5:IzxZJv6yI94ooJ2eLOM1/w==

female1

f2529497 Location:

Value

Label

Frequency

Text

1.

female

0

2.

male

0

Variable Format: numeric

Notes: UNF:5:KFiysRodkZkIqjgVHgcSrA==

bornagain1

f2529497 Location:

Value

Label

Frequency

Text

2.

not born-again

0

1.

born-again

0

Variable Format: numeric

Notes: UNF:5:OP61UD5ea2A3HiZ7QKhFrA==

threat1

f2529497 Location:

Value

Label

Frequency

Text

2.

strongly agree

0

1.

agree

0

-1.

disagree

0

0.

neither

0

-2.

strongly disagree

0

Variable Format: numeric

Notes: UNF:5:yUkfIHof+PtnTyh6gguNhA==

threat2

f2529497 Location:

Value

Label

Frequency

Text

-1.

disagree

0

1.

agree

0

-2.

strongly disagree

0

2.

strongly agree

0

0.

neither

0

Variable Format: numeric

Notes: UNF:5:b6sc5e5HdA0wBEhmGCQ3jg==

threat3

f2529497 Location:

Value

Label

Frequency

Text

2.

strongly agree

0

0.

neither

0

-1.

disagree

0

1.

agree

0

-2.

strongly disagree

0

Variable Format: numeric

Notes: UNF:5:l2MvRWVADmjbpm/ikOXhZA==

threat4

f2529497 Location:

Value

Label

Frequency

Text

0.

neither

0

1.

agree

0

-1.

disagree

0

-2.

strongly disagree

0

2.

strongly agree

0

Variable Format: numeric

Notes: UNF:5:+luT863pmNK+FkdM8TDHmw==

threat5

f2529497 Location:

Value

Label

Frequency

Text

1.

agree

0

0.

neither

0

-2.

strongly disagree

0

-1.

disagree

0

2.

strongly agree

0

Variable Format: numeric

Notes: UNF:5:OVnsLP+s3icdLDX2t2VhFA==

symbolic_threat

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:nuB8iTuHIgH01biKCFYylA==

high_symbolic

f2529497 Location:

Value

Label

Frequency

Text

1.

high symbolic

0

0.

low

0

Variable Format: numeric

Notes: UNF:5:/XJRsPYKViEcAO24p2NAwg==

threat6

f2529497 Location:

Value

Label

Frequency

Text

1.

agree

0

2.

strongly agree

0

-2.

strongly disagree

0

0.

neither

0

-1.

disagree

0

Variable Format: numeric

Notes: UNF:5:D5eRIiHRz6QXaoTYW3lM3Q==

threat7

f2529497 Location:

Value

Label

Frequency

Text

2.

strongly agree

0

-2.

strongly disagree

0

0.

neither

0

-1.

disagree

0

1.

agree

0

Variable Format: numeric

Notes: UNF:5:cRRFr/G+ZClNUQsWYgPV4Q==

threat8

f2529497 Location:

Value

Label

Frequency

Text

1.

agree

0

-2.

strongly disagree

0

0.

neither

0

2.

strongly agree

0

-1.

disagree

0

Variable Format: numeric

Notes: UNF:5:P7jbNY30Es+mS2+RouDJPg==

threat8

f2529497 Location:

Value

Label

Frequency

Text

-1.

disagree

0

2.

strongly agree

0

1.

agree

0

-2.

strongly disagree

0

0.

neither

0

Variable Format: numeric

Notes: UNF:5:3KbrzM3YTe6Eb1ju0AawTg==

threat10

f2529497 Location:

Value

Label

Frequency

Text

0.

neither

0

-2.

strongly disagree

0

2.

strongly agree

0

-1.

disagree

0

1.

agree

0

Variable Format: numeric

Notes: UNF:5:RuAn0pLXTDfwIAbcFDd5BA==

group_conflict

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:+iFzj27lCli+mWa2pgqELw==

high_conflict

f2529497 Location:

Value

Label

Frequency

Text

0.

low

0

1.

high group conflict

0

Variable Format: numeric

Notes: UNF:5:h24lmJDKofUhJU9Il2JVkw==

threat11

f2529497 Location:

Value

Label

Frequency

Text

0.

neither

0

2.

strongly agree

0

-1.

disagree

0

-2.

strongly disagree

0

1.

agree

0

Variable Format: numeric

Notes: UNF:5:CFF+AJS+T8K8pPgy94BVWg==

threat12

f2529497 Location:

Value

Label

Frequency

Text

-1.

disagree

0

-2.

strongly disagree

0

0.

neither

0

2.

strongly agree

0

1.

agree

0

Variable Format: numeric

Notes: UNF:5:oANZFJBFc0wHRRHCB91Wcg==

inter_anxiety

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:z2Q6iINhQl2rxZiUhcFPjA==

high_anxiety

f2529497 Location:

Value

Label

Frequency

Text

0.

low

0

1.

high group conflict

0

Variable Format: numeric

Notes: UNF:5:8fTv61fSXA8MULAbOtoXKQ==

threat_composite

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:LPylCQcJnDSYvpTBfVsrrg==

high_threat

f2529497 Location:

Value

Label

Frequency

Text

0.

low threat

0

1.

high threat

0

Variable Format: numeric

Notes: UNF:5:BNuoBeopFaBhfrjeRqqRGg==

stype8

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:IQ/JIKSYmbhUh+rFSgjwjw==

stype2

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:n1YKYJ7L6QIExy+4gmFx7Q==

stype3

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:zLBdWc5UVvEj5JSQevc/8g==

stype4

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:IF6e9enI+ZikWK8YPt1zkg==

stype5

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:M347mdpMqkggGZ70h/Xntw==

stype6

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:d5VfcJdlzJyKDWmpGfZh+A==

stype7

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:ZTkOX7top0rP/i8nbo53Nw==

stype8

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:1LueJNWM9J3Rnd+XQpj9JQ==

stype9

f2529497 Location:

Value

Label

Frequency

Text

0.

not well at all

0

10.

extremely well

0

Variable Format: numeric

Notes: UNF:5:J/amvYJpRWfZBGEvaD5oJw==

stype_threat

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:t13MbZuV9bXu03UMKk3z4g==

stype_high

f2529497 Location:

Value

Label

Frequency

Text

1.

high stype

0

0.

low

0

Variable Format: numeric

Notes: UNF:5:POZPq7XC2PamiG0TVvsjag==

sdo1

f2529497 Location:

Value

Label

Frequency

Text

1.

agree

0

-1.

disagree

0

0.

neither

0

2.

strongly agree

0

-2.

strongly disagree

0

Variable Format: numeric

Notes: UNF:5:VVAgucAKuTanau9Ss+7fIQ==

sdo2

f2529497 Location:

Value

Label

Frequency

Text

-1.

disagree

0

0.

neither

0

1.

agree

0

-2.

strongly disagree

0

2.

strongly agree

0

Variable Format: numeric

Notes: UNF:5:cVEtq+nwCFDjvH64m18kGw==

sdo4

f2529497 Location:

Value

Label

Frequency

Text

0.

neither

0

-2.

strongly disagree

0

-1.

disagree

0

1.

agree

0

2.

strongly agree

0

Variable Format: numeric

Notes: UNF:5:MDT6aKz3nfrl0Jv+4PwS3g==

sdo1

f2529497 Location:

Value

Label

Frequency

Text

2.

strongly agree

0

0.

neither

0

1.

agree

0

-2.

strongly disagree

0

-1.

disagree

0

Variable Format: numeric

Notes: UNF:5:3L7drWcccLbyrKhCCMNplg==

sdo6

f2529497 Location:

Value

Label

Frequency

Text

1.

agree

0

-1.

disagree

0

-2.

strongly disagree

0

0.

neither

0

2.

strongly agree

0

Variable Format: numeric

Notes: UNF:5:XQOHToxIjZjr3VKtd1dqFQ==

sdo7

f2529497 Location:

Value

Label

Frequency

Text

-1.

disagree

0

2.

strongly agree

0

0.

neither

0

1.

agree

0

-2.

strongly disagree

0

Variable Format: numeric

Notes: UNF:5:osFLnUYl1LBeVvw8HIYQCw==

sdo_composite

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:dzv8SktCLh1OTpSl0uTcfQ==

SDO_high

f2529497 Location:

Value

Label

Frequency

Text

0.

low SDO

0

1.

high SDO

0

Variable Format: numeric

Notes: UNF:5:VnrjTSmu0Kx9MRe77+5flw==

Scores for factor 1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:bTEUrFoIUK8iJtbeHDeFSw==

Scores for factor 2

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:nOu2LOu9c8QkTqlO2vhCdg==

high_ITT

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:lsVBqAXWf0e0BYGGgeQgxw==

evangel1

f2529497 Location:

Value

Label

Frequency

Text

1.

white evangelical

0

0.

non-evangelical

0

Variable Format: numeric

Notes: UNF:5:zSMdj12Iv6VkLl7oHe6srA==

gaymar1

f2529497 Location:

Value

Label

Frequency

Text

3.

strongly favor

0

0.

strongly oppose

0

2.

somewhat favor

0

1.

somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:z2fGd4EN5Q36EVmvUhG/Yg==

importance1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:ghVtzAxdbI/EC5xP/cWSMQ==

gayreact1

f2529497 Location:

Value

Label

Frequency

Text

0.

neither

0

-1.

negative

0

1.

positive

0

Variable Format: numeric

Notes: UNF:5:tfq6iyZfWXRjWz43Ztoh1A==

gayrel1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:KSRg/y8H9oJXgcRiY6peBg==

gayfrnd1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:uEyEEJbcjP1DzpBxzh8mMQ==

manygay1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:gvV1lV98X0dZJpXacRY/Hg==

gayles1

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:Agbo0aq4Rzr8Mw2rqtGYZQ==

educ

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:7xNvQVVDPs89E3uH2d3hBQ==

manip_check

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:1LoONtWQsl8kwhu3KtqUTg==

unsoph1

f2529497 Location:

Value

Label

Frequency

Text

0.

sophisticated (4-5 correct)

0

1.

unsophisticated (3 or less correct)

0

Variable Format: numeric

Notes: UNF:5:yBz8h4QOLaKttm/cpMhX/w==

Integrated Threat Theory

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:bTEUrFoIUK8iJtbeHDeFSw==

Social Dominance Orientation

f2529497 Location:

Variable Format: numeric

Notes: UNF:5:3QzJTCXSVemwq4lrb/46UA==

sdo_bin

f2529497 Location:

Value

Label

Frequency

Text

1.

High SDO

0

0.

Low SDO

0

Variable Format: numeric

Notes: UNF:5:Zn8cSCLM0W/8Vmv5/HJ/sA==

itt_bin

f2529497 Location:

Value

Label

Frequency

Text

1.

High ITT

0

0.

Low ITT

0

Variable Format: numeric

Notes: UNF:5:n/8P6Twk/fZ4wXw6yiuaGA==

Interviewing Component

f2529474 Location:

Value

Label

Frequency

Text

101.

National Rolling Cross-Section

2913

Variable Format: numeric

Notes: UNF:5:cXEHk61KQw2bl8tyzTeIZQ==

Respondent ID

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:rNeGfu4DzkhxO4Gknt/lMw==

Household ID

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:F4lAIU83nw4nMgQ1Nwev+w==

Area Code

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:fdGREWss69FHGXyUx3iGwA==

State (Two-Letter Abbreviation)

f2529474 Location:

Variable Format: character

Notes: UNF:5:SK3xhwaBiO3F6foyP9sHnw==

State (Numeric Code)

f2529474 Location:

Value

Label

Frequency

Text

13.

GA (Georgia)

69

35.

NM (New Mexico)

14

25.

MA (Massachusetts)

54

4.

AZ (Arizona)

49

6.

CA (California)

289

32.

NV (Nevada)

24

51.

VA (Virginia)

75

9.

CT (Connecticut)

36

38.

ND (North Dakota)

8

36.

NY (New York)

196

20.

KS (Kansas)

33

40.

OK (Oklahoma)

35

27.

MN (Minnesota)

67

33.

NH (New Hampshire)

15

54.

WV (West Virginia)

19

48.

TX (Texas)

192

28.

MS (Mississippi)

26

12.

FL (Florida)

143

37.

NC (North Carolina)

96

45.

SC (South Carolina)

41

19.

IA (Iowa)

41

46.

SD (South Dakota)

8

1.

AL (Alabama)

50

18.

IN (Indiana)

87

22.

LA (Louisiana)

35

5.

AR (Arkansas)

39

16.

ID (Idaho)

15

21.

KY (Kentucky)

49

53.

WA (Washington)

70

24.

MD (Maryland)

57

30.

MT (Montana)

16

10.

DE (Delaware)

11

39.

OH (Ohio)

127

41.

OR (Oregon)

53

8.

CO (Colorado)

55

29.

MO (Missouri)

61

23.

ME (Maine)

21

42.

PA (Pennsylvania)

147

26.

MI (Michigan)

88

17.

IL (Illinois)

107

34.

NJ (New Jersey)

67

50.

VT (Vermont)

13

55.

WI (Wisconsin)

76

11.

DC (Washington, DC)

7

56.

WY (Wyoming)

8

49.

UT (Utah)

30

47.

TN (Tennessee)

58

31.

NE (Nebraska)

30

44.

RI (Rhode Island)

6

Variable Format: numeric

Notes: UNF:5:NYhr49fnPB7wG1JBrAQewA==

Interview Date

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:VTHeJz3Jn6F9BSyOURPzfw==

Interview Start Time

f2529474 Location:

Value

Label

Frequency

Text

9999.

Interview completed in multiple sessions

0

Variable Format: numeric

Notes: UNF:5:fibsAuqrV6KkMf4ekIvzDg==

Random Assignment to Question Module A1 or A2

f2529474 Location:

Value

Label

Frequency

Text

1.

Question module A1

1480

2.

Question module A2

1433

Variable Format: numeric

Notes: UNF:5:MnZFCwrtpVD89wwR3lu+dg==

Random Assignment to Question Module B1, B2, or B3

f2529474 Location:

Value

Label

Frequency

Text

3.

Question module B3

945

1.

Question module B1

947

2.

Question module B2

1021

Variable Format: numeric

Notes: UNF:5:tn+ibGTnANlQkjKVWEO/Lg==

Random Assignment to Question Module C1, C2, C3, or C4

f2529474 Location:

Value

Label

Frequency

Text

1.

Question module C1

739

4.

Question module C4

722

3.

Question module C3

713

2.

Question module C2

739

Variable Format: numeric

Notes: UNF:5:cll09PDjN8rZEfwH1uA0uw==

Bush Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

2

999.

Refused

6

12.

Know name but cannot rate

12

Variable Format: numeric

Notes: UNF:5:Tv49v4wr45VSGSpz4X/rew==

Bush Job Approval

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat disapprove

366

1.

Strongly approve

826

998.

Don’t know

63

999.

Refused

14

4.

Strongly disapprove

948

2.

Somewhat approve

696

Variable Format: numeric

Notes: UNF:5:A9ztQrEAuzxvqWdpsB4lTA==

Bush Favorability as Person

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat favorable

391

998.

Don’t know

148

3.

Somewhat unfavorable

156

999.

Refused

24

1.

Very favorable

533

4.

Very unfavorable

228

Variable Format: numeric

Notes: UNF:5:ZhPu3vM1Ny4ncFaeHVszAA==

Bush Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

9

998.

Don’t know

41

Variable Format: numeric

Notes: UNF:5:jfXriqkCBYkHjr7fD2/tNg==

Bush Inspiring

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

31

999.

Refused

10

Variable Format: numeric

Notes: UNF:5:I1oFbyJx13S3K7nAllYhiA==

Bush Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

24

999.

Refused

8

Variable Format: numeric

Notes: UNF:5:cZ3PEJ5BBKTlnCiVeydTAA==

Bush Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

33

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:DBBH2xovkkvJ83M9+ngTZA==

Bush Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

48

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:uUqTuQVDoovYyMQnZBla4A==

Bush Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

17

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:hND59XpmCAYfMiGI4F0N2g==

Bush Reckless

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

29

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:SXLHhV5eerxq1DRrxS2fIA==

Bush Steady

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Says One Thing, Does Another

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Has Right Experience

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Easy to Like

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Make Tough Decisions

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Has Clear Vision

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Changes His Mind

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Too Liberal

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Too Conservative

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Out of Touch

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Stubborn

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Arrogant

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Optimistic

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Effective

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Decisive

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Flip-Flops

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Honest

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Not Willing to Admit Mistakes

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Kept Promises

f2529474 Location:

Value

Label

Frequency

Text

5.

None

0

998.

Don’t know

0

1.

All

0

3.

Some

0

4.

Few

0

999.

Refused

0

2.

Most

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

5.

Very liberal

99

4.

Liberal

264

2.

Conservative

1201

3.

Moderate

561

998.

Don’t know

158

1.

Very conservative

586

999.

Refused

24

Variable Format: numeric

Notes: UNF:5:7MXp9QMnndWVCJk1MSh1yA==

Bush Makes Me Angry

f2529474 Location:

Value

Label

Frequency

Text

4.

Not very

16

5.

Does not make angry

464

998.

Don’t know

8

3.

Little

65

2.

Somewhat

139

999.

Refused

8

1.

Yes, very

172

Variable Format: numeric

Notes: UNF:5:vpqyYTw11MtJlwAWDtwJXA==

Bush Makes Me Uneasy

f2529474 Location:

Value

Label

Frequency

Text

5.

Does not make uneasy

0

998.

Don’t know

0

999.

Refused

0

4.

Not very

0

1.

Yes, very

0

3.

Little

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Makes Me Afraid

f2529474 Location:

Value

Label

Frequency

Text

5.

Does not make afraid

0

999.

Refused

0

3.

Little

0

2.

Somewhat

0

998.

Don’t know

0

1.

Yes, very

0

4.

Not very

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

141

12.

Know name but cannot rate

189

999.

Refused

8

Variable Format: numeric

Notes: UNF:5:SCxhB3lz9+gkJ+CBP2TdYg==

Kerry Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

8

998.

Don’t know

275

Variable Format: numeric

Notes: UNF:5:PkGublo+V4K7c7zefdOHJQ==

Kerry Inspiring

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

11

998.

Don’t know

235

Variable Format: numeric

Notes: UNF:5:4nKmdnlQwqqna6mHEU4j5Q==

Kerry Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

13

998.

Don’t know

264

Variable Format: numeric

Notes: UNF:5:Pau2CyPriRB8HVzOZK5U4A==

Kerry Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

9

998.

Don’t know

292

Variable Format: numeric

Notes: UNF:5:YmZ9Pn4+rlrDuu1wSLXRew==

Kerry Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

269

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:+tM0T2qhf3Jaf20OOcl23A==

Kerry Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

146

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:TqoeA7HEbFzoohupkG5fGQ==

Kerry Reckless

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

142

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:sN7JnX37ZYCg5SnTMI4oVA==

Kerry Steady

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Says One Thing, Does Another

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Has Right Experience

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Easy to Like

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Will Make Tough Decisions

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Has Clear Vision

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Changes His Mind

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Too Liberal

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Too Conservative

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Out of Touch

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Stubborn

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Arrogant

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Optimistic

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Effective

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Decisive

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Flip-Flops

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Honest

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Not Willing to Admit Mistakes

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

2.

Conservative

225

5.

Very liberal

325

3.

Moderate

855

4.

Liberal

773

1.

Very conservative

65

998.

Don’t know

316

999.

Refused

16

Variable Format: numeric

Notes: UNF:5:glWDbz2We9Ne9XtfhesHfA==

Kerry Makes Me Angry

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, very

51

999.

Refused

5

4.

Not very

13

3.

Little

29

5.

Does not make angry

658

998.

Don’t know

53

2.

Somewhat

63

Variable Format: numeric

Notes: UNF:5:jBRM5wiiqgO4PqajrJ/hyg==

Kerry Makes Me Uneasy

f2529474 Location:

Value

Label

Frequency

Text

5.

Does not make uneasy

0

4.

Not very

0

998.

Don’t know

0

2.

Somewhat

0

1.

Yes, very

0

3.

Little

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Makes Me Afraid

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, very

0

3.

Little

0

2.

Somewhat

0

5.

Does not make afraid

0

998.

Don’t know

0

4.

Not very

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cheney Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

64

12.

Know name but cannot rate

117

999.

Refused

12

Variable Format: numeric

Notes: UNF:5:+6LGqvgdlb2B4+J2976iyA==

Know Cheney Is Vice Presidential Candidate

f2529474 Location:

Value

Label

Frequency

Text

1.

Dick Cheney (correct)

0

999.

Refused

0

998.

Don’t know

0

2.

Other name

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cheney Has Right Experience to Be President

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Edwards Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

10

11.

Do not recognize name

239

12.

Know name but cannot rate

279

Variable Format: numeric

Notes: UNF:5:+7a6cWuxkiT4yVxNEhV4jA==

Know Edwards Is Vice Presidential Candidate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

John Edwards (correct)

0

998.

Don’t know

0

2.

Other name

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Edwards Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

13

998.

Don’t know

330

Variable Format: numeric

Notes: UNF:5:WQ6KOVQhKUnXwM2rgbc4Uw==

Edwards Inspiring

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

11

998.

Don’t know

303

Variable Format: numeric

Notes: UNF:5:bwb4p3ZhvHdtVeiD/OEryQ==

Edwards Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

363

Variable Format: numeric

Notes: UNF:5:AsV5xSL94y43WDlTpJf3Sw==

Edwards Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

349

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:WyLnU+K58XfvmO7ehMbajA==

Edwards Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

10

998.

Don’t know

350

Variable Format: numeric

Notes: UNF:5:BpjVcAzBkVOo/FbG5QeT9g==

Edwards Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

174

Variable Format: numeric

Notes: UNF:5:ZQhFjJPTGjUTFshVJi9G4g==

Edwards Reckless

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

177

999.

Refused

9

Variable Format: numeric

Notes: UNF:5:5yqELk/DM+q/K4iHAmqNeA==

Edwards Has Right Experience to Be President

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Edwards Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

15

5.

Very liberal

80

1.

Very conservative

28

4.

Liberal

595

3.

Moderate

821

998.

Don’t know

342

2.

Conservative

208

Variable Format: numeric

Notes: UNF:5:jfJtk7PU2pdChUzg47aSFQ==

Nader Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

11.

Do not recognize name

30

12.

Know name but cannot rate

35

Variable Format: numeric

Notes: UNF:5:hviQcGiaJkSI+0rmc85egw==

Nader Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

2.

Conservative

0

3.

Moderate

0

999.

Refused

0

998.

Don’t know

0

5.

Very liberal

0

4.

Liberal

0

1.

Very conservative

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

999.

Refused

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Inspiring

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Reckless

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clark Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Conservative

0

5.

Very liberal

0

1.

Very conservative

0

4.

Liberal

0

999.

Refused

0

3.

Moderate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Dean Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

12.

Know name but cannot rate

15

11.

Do not recognize name

15

Variable Format: numeric

Notes: UNF:5:NtrYRBn6ESgFzX7e9nDdOw==

Dean Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:yVpoPtbu5v93INC+aJ/UkQ==

Dean Inspiring

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:AndvTu9JX454pB2Cag8ohQ==

Dean Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

7

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:5a9JFjlzmfaUlC9alCz5UA==

Dean Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:t05KnQ0oPZNHumH3228Z0w==

Dean Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:Se8ehRgVpgxrDojxQfuzJA==

Dean Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:w32TOXk0ewpQqqCf7H7oxw==

Dean Reckless

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:p0DpY9yxnPYjER/VqijMIA==

Dean Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

3.

Moderate

20

999.

Refused

1

5.

Very liberal

9

1.

Very conservative

1

998.

Don’t know

9

4.

Liberal

28

2.

Conservative

8

Variable Format: numeric

Notes: UNF:5:fbArI0I9cSZNLeik6FBomg==

Gephardt Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Inspiring

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Reckless

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gephardt Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

5.

Very liberal

0

999.

Refused

0

3.

Moderate

0

998.

Don’t know

0

4.

Liberal

0

2.

Conservative

0

1.

Very conservative

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know name but cannot rate

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Cares About People Like Me

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Inspiring

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Strong Leader

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Trustworthy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Shares My Values

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Knowledgeable

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Reckless

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Lieberman Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

2.

Conservative

0

5.

Very liberal

0

3.

Moderate

0

998.

Don’t know

0

4.

Liberal

0

999.

Refused

0

1.

Very conservative

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

More Likely to Vote for Moderate or Liberal Democratic Candidate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Either

0

4.

Neither

0

1.

Moderate

0

2.

Liberal

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

More Likely to Vote for Democratic Candidate With Washington Experience

f2529474 Location:

Value

Label

Frequency

Text

1.

Washington experience

0

4.

Neither

0

999.

Refused

0

2.

Outside of Washington

0

998.

Don’t know

0

3.

Either

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2

f2529474 Location:

Value

Label

Frequency

Text

6.

Joe Lieberman

0

4.

Richard Gephardt

0

3.

John Edwards

0

2.

Howard Dean

0

5.

John Kerry

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

5.

John Kerry

0

1.

Wesley Clark

0

2.

Howard Dean

0

6.

Joe Lieberman

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

2.

Howard Dean

0

5.

John Kerry

0

1.

Wesley Clark

0

6.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

2.

Howard Dean

0

5.

John Kerry

0

6.

Joe Lieberman

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

5.

John Kerry

0

1.

Wesley Clark

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

3.

John Edwards

0

5.

John Kerry

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to Democratic Candidates (2/11/04–2/17/04)

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

125

2.

Howard Dean

86

Variable Format: numeric

Notes: UNF:5:TCNGzpWW/NAwIQNFTD7tBQ==

Ashcroft Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

101

999.

Refused

2

12.

Know name but cannot rate

113

Variable Format: numeric

Notes: UNF:5:myDg7TxNxyMFBmvjmX3mpw==

Laura Bush Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

12.

Know name but cannot rate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bill Clinton Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

6

11.

Do not recognize name

1

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:jtIbMJQ6tp8DXrK3scRKaw==

Hillary Clinton Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

8

11.

Do not recognize name

5

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:DZe4Y9GTLxbBd73N9/w+lg==

Giuliani Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

40

999.

Refused

2

11.

Do not recognize name

48

Variable Format: numeric

Notes: UNF:5:VzMG9muU7EpcadCz1N62Hg==

Gore Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

2

12.

Know name but cannot rate

17

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:HNJD4cv+uS1aAJ/2LUoWpQ==

Heinz Kerry Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Limbaugh Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

126

11.

Do not recognize name

118

999.

Refused

13

Variable Format: numeric

Notes: UNF:5:znY4/qXgcncKcEzP7RL2dQ==

McCain Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Rice Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Schwarzenegger Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

12.

Know name but cannot rate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Howard Stern Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

What Jane Fonda Is Known For, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

2.

Exercise videos/programs

51

5.

Hanoi Jane

34

3.

Wife / former wife of Ted Turner

18

998.

Don’t know

50

7.

Other

43

4.

Anti-war protester

95

1.

Actress

151

6.

Henry Fonda’s daughter

1

Variable Format: numeric

Notes: UNF:5:TzOup0233ShHjKIEQ3wUnw==

What Jane Fonda Is Known For, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

6.

Henry Fonda’s daughter

2

999.

Refused

0

1.

Actress

0

998.

Don’t know

0

3.

Wife / former wife of Ted Turner

14

2.

Exercise videos/programs

19

5.

Hanoi Jane

16

4.

Anti-war protester

37

7.

Other

11

Variable Format: numeric

Notes: UNF:5:funV2AVIHDmwPpp/FFVsVg==

What Jane Fonda Is Known For, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

Wife / former wife of Ted Turner

5

4.

Anti-war protester

17

5.

Hanoi Jane

7

999.

Refused

0

2.

Exercise videos/programs

0

998.

Don’t know

0

7.

Other

3

1.

Actress

0

6.

Henry Fonda’s daughter

4

Variable Format: numeric

Notes: UNF:5:nihURji+nKd40+G5Fi1gIA==

What Jane Fonda Is Known For, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

6.

Henry Fonda’s daughter

3

3.

Wife / former wife of Ted Turner

0

1.

Actress

0

5.

Hanoi Jane

3

998.

Don’t know

0

7.

Other

4

999.

Refused

0

4.

Anti-war protester

4

2.

Exercise videos/programs

0

Variable Format: numeric

Notes: UNF:5:3wndA0g+jlTG9GD0AT6WhQ==

What Jane Fonda Is Known For, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Anti-war protester

0

999.

Refused

0

1.

Actress

0

3.

Wife / former wife of Ted Turner

0

2.

Exercise videos/programs

0

6.

Henry Fonda’s daughter

0

5.

Hanoi Jane

0

7.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

What Jane Fonda Is Known For, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:MLWFM5qnqAb02KYFjQ2ISw==

What Herbert Hoover Is Known For, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

98

1.

U.S. president

152

3.

Stock market crash

2

999.

Refused

4

7.

Hoover Dam

4

6.

Vacuum cleaner

6

2.

Depression / Great Depression

46

8.

Other

64

5.

Cross-dresser

1

4.

FBI director

71

Variable Format: numeric

Notes: UNF:5:9xlfK6oZeW1v+nqN++HPBA==

What Herbert Hoover Is Known For, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Stock market crash

2

6.

Vacuum cleaner

0

1.

U.S. president

0

4.

FBI director

3

8.

Other

12

5.

Cross-dresser

2

999.

Refused

0

7.

Hoover Dam

7

2.

Depression / Great Depression

11

Variable Format: numeric

Notes: UNF:5:WIOBqVCUgSqwF1OQC/EhVQ==

What Herbert Hoover Is Known For, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

Stock market crash

1

1.

U.S. president

0

7.

Hoover Dam

1

2.

Depression / Great Depression

0

4.

FBI director

0

998.

Don’t know

0

8.

Other

2

999.

Refused

0

5.

Cross-dresser

0

6.

Vacuum cleaner

0

Variable Format: numeric

Notes: UNF:5:8VDT13S5nO2pSvtBaB7tyA==

What Herbert Hoover Is Known For, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

Cross-dresser

0

6.

Vacuum cleaner

0

8.

Other

0

7.

Hoover Dam

0

1.

U.S. president

0

999.

Refused

0

3.

Stock market crash

0

4.

FBI director

0

998.

Don’t know

0

2.

Depression / Great Depression

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

What Herbert Hoover Is Known For, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

8.

Other

0

3.

Stock market crash

0

999.

Refused

0

1.

U.S. president

0

2.

Depression / Great Depression

0

7.

Hoover Dam

0

4.

FBI director

0

6.

Vacuum cleaner

0

5.

Cross-dresser

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

What Herbert Hoover Is Known For, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:AlNOfIgKcJpuvAbKZD6RWQ==

Reagan Accomplishments in Domestic Policy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

Poor

0

2.

Good

0

1.

Excellent

0

3.

Fair

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reagan Accomplishments in Foreign Policy

f2529474 Location:

Value

Label

Frequency

Text

4.

Poor

0

1.

Excellent

0

3.

Fair

0

998.

Don’t know

0

2.

Good

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry More Like Reagan as Politician

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither is like Reagan

0

3.

Both the same

0

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry More Like Reagan as Leader

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither is like Reagan

0

3.

Both the same

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry More Like Reagan as Person

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

2.

Kerry

0

4.

Neither is like Reagan

0

998.

Don’t know

0

3.

Both the same

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Congressional Republicans Job Approval

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

1.

Strongly approve

0

998.

Don’t know

0

4.

Strongly disapprove

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Congressional Democrats Job Approval

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Strongly approve

0

998.

Don’t know

0

2.

Somewhat approve

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Labor Unions Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

4

11.

Do not recognize group

6

12.

Know group but cannot rate

27

Variable Format: numeric

Notes: UNF:5:ok4NTgZU/TbGehDYMK6vUA==

Corporations Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

7

12.

Know group but cannot rate

36

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:aPIJ2kznLjGId+yC11qo6A==

Feminist Groups Favorability

f2529474 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

26

999.

Refused

12

12.

Know group but cannot rate

54

Variable Format: numeric

Notes: UNF:5:G7lE6XE7x3O2J1HBU/d1Cw==

Gay Groups Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

24

12.

Know group but cannot rate

34

11.

Do not recognize group

8

Variable Format: numeric

Notes: UNF:5:UnJRHn0ADV23uweylPnv6w==

Environmental Groups Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

0

999.

Refused

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

AARP Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

27

11.

Do not recognize group

10

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:QcmP20cpJayAiKYNnD2EiQ==

NRA Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

0

999.

Refused

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Christian Groups Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

35

11.

Do not recognize group

43

12.

Know group but cannot rate

86

Variable Format: numeric

Notes: UNF:5:ZIcFZDAT04L4JW4dej3Ekg==

Protestants Favorability

f2529474 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

64

11.

Do not recognize group

25

999.

Refused

52

Variable Format: numeric

Notes: UNF:5:X5bksU4zBQzMVNOEIZ1WOw==

Catholics Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

44

11.

Do not recognize group

2

12.

Know group but cannot rate

42

Variable Format: numeric

Notes: UNF:5:+J39iUpLVsKDLQsRDPaVOA==

Jewish People Favorability (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

52

12.

Know group but cannot rate

64

11.

Do not recognize group

10

Variable Format: numeric

Notes: UNF:5:pbsSl7un6lrci9JfLN1XZw==

Jewish People Favorability (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

0

999.

Refused

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Muslims Favorability

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

61

12.

Know group but cannot rate

115

11.

Do not recognize group

19

Variable Format: numeric

Notes: UNF:5:9gQjAr0w+gtiWcYk7LePQA==

Random Question Order for cAA01

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:6GbpU8EboPayko8smvZ5jA==

Random Question Order for cAB01

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ZIt43IvxqhS1JgDpUgL2Yw==

Random Question Order for cAC01

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ompWN7X5w7fLt2rOsfVExg==

Random Question Order for cAC04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:+E22gsiRk/dCs55b3hl4cQ==

Random Question Order for cAC15

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:nV9Vy03/f6iczTGZq13O6w==

Random Question Order for cAC17

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC26

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:UTR7b5St4PiicwzZqr7UFw==

Random Question Order for cAC35

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC44

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD01

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:UwibWPte3vzhmRKHDP/ycg==

Random Question Order for cAD02

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD03

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:J+P3sm3EyuPQUUYUsEE8Xw==

Random Question Order for cAD04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:8U3E8ihEcolBa45dSwXSgw==

Random Question Order for cAD05

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:i4xyqSxBV6OYNy+4DkArpA==

Random Question Order for cAD06

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:rm27G6Ha7iSUc0A1b+Z/9A==

Random Question Order for cAD07

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD08

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:TFn+v9SOjvUzWlXqSdhp2g==

Random Question Order for cAD09

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD10

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD11

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAD12

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cUA04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:vSr0nAP1Yb5HXDKE8b7gvA==

Random Question Order for cAA04–cAA28

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:K95lr105XfGp+jOdThqFrw==

Random Question Order for cAB02–cAB26

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Wkig5IIKNPqzI7TeUHBjTg==

Random Question Order for cAC06–cAC12

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ndocecWI7IWW9VGtnI/yTQ==

Random Question Order for cAC18–cAC24

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC27–cAC33

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:nDEpbDL3PJcj1+uN/D9iJA==

Random Question Order for cAC36–cAC42

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC45–cAC51

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:PXFlPlz6nBPRmLpl2J+aqA==

Random Question Order for cAA05

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Y3KA2GRVmaucHu8ku7KMXA==

Random Question Order for cAA06

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:V6FjJVSCNroJAwdbqjbagA==

Random Question Order for cAA07

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:EHREEB84dXDMDcpdx6ugxQ==

Random Question Order for cAA08

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:tYfcDA4e7N4puIXMCbhV0Q==

Random Question Order for cAA09

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:QymzlfJ6m4ub9xhUJb6l8g==

Random Question Order for cAA10

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:dUH64HENLzdCb2yX0L9MZQ==

Random Question Order for cAA11

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA12

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA14

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA15

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA16

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA17

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA18

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA19

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA20

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA21

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA22

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA23

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA24

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA25

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA26

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA27

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAA28

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB02

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:QGbQX6xRII9SXQsp0J7eOg==

Random Question Order for cAB03

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:hwj1NxtooD7Rxr7VX9I8TQ==

Random Question Order for cAB04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:6NxHLYQCoqUkwfr0D0dZnQ==

Random Question Order for cAB05

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:BxL9lDtdmlTrmP3aTIFGXg==

Random Question Order for cAB06

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:19i62DH73063A5chbrK9Tw==

Random Question Order for cAB07

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:b9spZZKHFz6B9OuldVEDlw==

Random Question Order for cAB08

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:+veGcqx+SftVyUrp7OnZmQ==

Random Question Order for cAB09

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB10

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB11

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB12

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB14

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB15

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB16

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB17

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB18

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB19

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB20

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB21

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB22

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB23

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB24

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB25

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAB26

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC06

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:qI4lJ7oBnF0I5npyGopowQ==

Random Question Order for cAC07

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:BFBQnr6OgD3afNu13lDE+g==

Random Question Order for cAC08

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:BIBQLnLyjnnQyeqCBvnmxA==

Random Question Order for cAC09

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:qoUhIS0VFbGRo4nawGtBPA==

Random Question Order for cAC10

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:0tPe13nBXG2JzQpOS3X5HA==

Random Question Order for cAC11

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:D/Hb2ZymgZDUHiznAbPuXw==

Random Question Order for cAC12

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ZE1y/T/ThUgXHVozjRTLzg==

Random Question Order for cAC18

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC19

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC20

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC21

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC22

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC23

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC24

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC27

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ZyHsnR9oWEEapfiiOdhnBA==

Random Question Order for cAC28

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:fiRSWS/ATJUCjFotLA1t9Q==

Random Question Order for cAC29

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Jp0kOwhCi6QjvJEmFpBbGA==

Random Question Order for cAC30

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:gQzh8oSGj24MjuSTfHwi3A==

Random Question Order for cAC31

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Sk0f1eHQjSpD1N96xPespg==

Random Question Order for cAC32

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:+OyAWT5haMvsssoE+bsPEA==

Random Question Order for cAC33

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:nDRnUjaAAQKy5Rk9KOG2GQ==

Random Question Order for cAC36

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC37

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC38

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC39

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC40

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC41

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC42

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC45

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC46

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC47

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC48

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC49

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC50

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cAC51

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Country Going in Right Direction (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

48

998.

Don’t know

242

2.

Wrong

1541

1.

Right

1082

Variable Format: numeric

Notes: UNF:5:L+uKW+WNmUL6l7FPiEjqQQ==

Country Going in Right Direction (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Wrong

0

1.

Right

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #1), 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Energy / rising gas prices

11

999.

Refused

3

22.

Other

306

12.

Politicians/government

173

3.

Children’s issues

29

6.

Lack of moral/family values

220

16.

Foreign policy

89

5.

Lack of religion/faith

51

998.

Don’t know

72

19.

Immigration / illegal aliens

23

7.

Health care

159

13.

Taxes

16

1.

Economy

587

18.

Unemployment / job security / layoffs

357

15.

Iraq war/situation

271

17.

National/homeland security

85

8.

Violence/crime

43

4.

Poverty/homelessness

60

14.

Terrorism / war on terrorism

188

9.

Drugs

25

2.

Education / education problems

128

21.

Dislike Bush / current leaders

0

11.

Environment

17

20.

Jobs going to other countries / outsourcing

0

Variable Format: numeric

Notes: UNF:5:YnJK51PbQBD+4Tv9RVAgkA==

Most Important Problem (Wording #1), 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

15.

Iraq war/situation

33

8.

Violence/crime

2

3.

Children’s issues

2

11.

Environment

1

14.

Terrorism / war on terrorism

12

5.

Lack of religion/faith

0

22.

Other

67

9.

Drugs

5

20.

Jobs going to other countries / outsourcing

0

7.

Health care

11

13.

Taxes

6

998.

Don’t know

0

21.

Dislike Bush / current leaders

0

10.

Energy / rising gas prices

0

6.

Lack of moral/family values

13

16.

Foreign policy

12

1.

Economy

0

999.

Refused

0

12.

Politicians/government

9

19.

Immigration / illegal aliens

7

18.

Unemployment / job security / layoffs

65

2.

Education / education problems

13

17.

National/homeland security

16

4.

Poverty/homelessness

3

Variable Format: numeric

Notes: UNF:5:vMrCMmBJpAhnPRX+FsmkUA==

Most Important Problem (Wording #1), 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Energy / rising gas prices

0

998.

Don’t know

0

7.

Health care

3

5.

Lack of religion/faith

1

999.

Refused

0

9.

Drugs

0

13.

Taxes

0

1.

Economy

0

17.

National/homeland security

0

3.

Children’s issues

0

21.

Dislike Bush / current leaders

0

18.

Unemployment / job security / layoffs

6

6.

Lack of moral/family values

0

19.

Immigration / illegal aliens

2

2.

Education / education problems

0

20.

Jobs going to other countries / outsourcing

0

11.

Environment

1

12.

Politicians/government

1

22.

Other

22

4.

Poverty/homelessness

1

15.

Iraq war/situation

5

8.

Violence/crime

0

16.

Foreign policy

1

14.

Terrorism / war on terrorism

0

Variable Format: numeric

Notes: UNF:5:+c9Nf3c3e1CDSEmJmwGLZg==

Most Important Problem (Wording #1), 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Health care

0

1.

Economy

0

12.

Politicians/government

0

19.

Immigration / illegal aliens

0

14.

Terrorism / war on terrorism

0

13.

Taxes

0

22.

Other

4

5.

Lack of religion/faith

0

18.

Unemployment / job security / layoffs

0

999.

Refused

0

8.

Violence/crime

0

10.

Energy / rising gas prices

0

998.

Don’t know

0

9.

Drugs

0

17.

National/homeland security

0

4.

Poverty/homelessness

0

21.

Dislike Bush / current leaders

0

6.

Lack of moral/family values

0

15.

Iraq war/situation

1

11.

Environment

0

16.

Foreign policy

1

2.

Education / education problems

0

3.

Children’s issues

0

20.

Jobs going to other countries / outsourcing

0

Variable Format: numeric

Notes: UNF:5:ZJlfJbplIPLlM3Oe1nHtFw==

Most Important Problem (Wording #1), 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

8.

Violence/crime

0

9.

Drugs

0

18.

Unemployment / job security / layoffs

1

17.

National/homeland security

1

13.

Taxes

0

11.

Environment

0

16.

Foreign policy

0

6.

Lack of moral/family values

0

7.

Health care

0

22.

Other

0

14.

Terrorism / war on terrorism

0

999.

Refused

0

15.

Iraq war/situation

0

20.

Jobs going to other countries / outsourcing

0

12.

Politicians/government

0

3.

Children’s issues

0

1.

Economy

0

10.

Energy / rising gas prices

0

19.

Immigration / illegal aliens

0

998.

Don’t know

0

4.

Poverty/homelessness

0

2.

Education / education problems

0

21.

Dislike Bush / current leaders

0

5.

Lack of religion/faith

0

Variable Format: numeric

Notes: UNF:5:3wlp27TT7iyNJ+MnksX6pA==

Most Important Problem (Wording #1), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:x6sQFAsEOy8dv6Slgz/aog==

Don’t-Know Prompt for cCA03

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

2828

1.

Respondent said don’t know and was prompted, “Just your best

85

Variable Format: numeric

Notes: UNF:5:JTb5PNHPKPuVzJCse8s71w==

Most Important Problem (Wording #2), 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

Lack of religion/faith

0

9.

Drugs

0

17.

National/homeland security

0

7.

Health care

0

11.

Environment

0

15.

Iraq war/situation

0

14.

Terrorism / war on terrorism

0

999.

Refused

0

16.

Foreign policy

0

22.

Other

0

1.

Economy

0

12.

Politicians/government

0

8.

Violence/crime

0

3.

Children’s issues

0

20.

Jobs going to other countries / outsourcing

0

19.

Immigration / illegal aliens

0

6.

Lack of moral/family values

0

21.

Dislike Bush / current leaders

0

18.

Unemployment / job security / layoffs

0

10.

Energy / rising gas prices

0

998.

Don’t know

0

13.

Taxes

0

2.

Education / education problems

0

4.

Poverty/homelessness

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #2), 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

9.

Drugs

0

8.

Violence/crime

0

22.

Other

0

17.

National/homeland security

0

10.

Energy / rising gas prices

0

11.

Environment

0

15.

Iraq war/situation

0

14.

Terrorism / war on terrorism

0

19.

Immigration / illegal aliens

0

18.

Unemployment / job security / layoffs

0

7.

Health care

0

5.

Lack of religion/faith

0

16.

Foreign policy

0

1.

Economy

0

12.

Politicians/government

0

21.

Dislike Bush / current leaders

0

6.

Lack of moral/family values

0

2.

Education / education problems

0

4.

Poverty/homelessness

0

3.

Children’s issues

0

13.

Taxes

0

20.

Jobs going to other countries / outsourcing

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #2), 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

Lack of religion/faith

0

6.

Lack of moral/family values

0

22.

Other

0

2.

Education / education problems

0

16.

Foreign policy

0

1.

Economy

0

21.

Dislike Bush / current leaders

0

12.

Politicians/government

0

20.

Jobs going to other countries / outsourcing

0

4.

Poverty/homelessness

0

7.

Health care

0

19.

Immigration / illegal aliens

0

8.

Violence/crime

0

11.

Environment

0

998.

Don’t know

0

18.

Unemployment / job security / layoffs

0

15.

Iraq war/situation

0

10.

Energy / rising gas prices

0

999.

Refused

0

3.

Children’s issues

0

17.

National/homeland security

0

9.

Drugs

0

13.

Taxes

0

14.

Terrorism / war on terrorism

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #2), 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Energy / rising gas prices

0

17.

National/homeland security

0

11.

Environment

0

19.

Immigration / illegal aliens

0

2.

Education / education problems

0

9.

Drugs

0

13.

Taxes

0

15.

Iraq war/situation

0

18.

Unemployment / job security / layoffs

0

22.

Other

0

21.

Dislike Bush / current leaders

0

999.

Refused

0

7.

Health care

0

998.

Don’t know

0

14.

Terrorism / war on terrorism

0

16.

Foreign policy

0

20.

Jobs going to other countries / outsourcing

0

1.

Economy

0

3.

Children’s issues

0

12.

Politicians/government

0

8.

Violence/crime

0

6.

Lack of moral/family values

0

4.

Poverty/homelessness

0

5.

Lack of religion/faith

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #2), 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

20.

Jobs going to other countries / outsourcing

0

14.

Terrorism / war on terrorism

0

11.

Environment

0

999.

Refused

0

13.

Taxes

0

5.

Lack of religion/faith

0

17.

National/homeland security

0

19.

Immigration / illegal aliens

0

10.

Energy / rising gas prices

0

6.

Lack of moral/family values

0

9.

Drugs

0

22.

Other

0

2.

Education / education problems

0

18.

Unemployment / job security / layoffs

0

8.

Violence/crime

0

1.

Economy

0

21.

Dislike Bush / current leaders

0

998.

Don’t know

0

3.

Children’s issues

0

16.

Foreign policy

0

12.

Politicians/government

0

15.

Iraq war/situation

0

7.

Health care

0

4.

Poverty/homelessness

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Most Important Problem (Wording #2), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCA05

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Just your best

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Iraq or Economy More Important in Vote

f2529474 Location:

Value

Label

Frequency

Text

4.

Would not vote

13

998.

Don’t know

65

999.

Refused

11

2.

Economy

1086

3.

Something else will be important

97

1.

Iraq

208

Variable Format: numeric

Notes: UNF:5:UGa9UyHjOHpBA/vlVb5jOw==

Country’s Economy Today

f2529474 Location:

Value

Label

Frequency

Text

3.

Fair

1257

1.

Excellent

57

998.

Don’t know

19

2.

Good

656

4.

Poor

920

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:4TaWc4leFevtTw8KhLYOqA==

Country’s Economy Last Year

f2529474 Location:

Value

Label

Frequency

Text

1.

Much better

0

998.

Don’t know

0

5.

Much worse

0

2.

Somewhat better

0

999.

Refused

0

4.

Somewhat worse

0

3.

Same

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Country’s Economy Next Year

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat better

1233

3.

Same

836

1.

Much better

261

998.

Don’t know

147

5.

Much worse

88

4.

Somewhat worse

326

999.

Refused

22

Variable Format: numeric

Notes: UNF:5:QGFFsH/mci+3thf8pYtPaQ==

Personal Economic Situation Today

f2529474 Location:

Value

Label

Frequency

Text

4.

Poor

431

998.

Don’t know

10

999.

Refused

9

3.

Fair

1057

1.

Excellent

243

2.

Good

1163

Variable Format: numeric

Notes: UNF:5:TC31d9SfrKCJeI1IpymraQ==

Personal Economic Situation Last Year

f2529474 Location:

Value

Label

Frequency

Text

4.

Somewhat worse

0

2.

Somewhat better

0

5.

Much worse

0

3.

Same

0

999.

Refused

0

1.

Much better

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Tax cuts

0

999.

Refused

0

5.

Something else responsible

0

1.

Terrorism

0

4.

All equally responsible

0

2.

Iraq

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Aware Economy Grew 7 Percent

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Economy Will Continue to Grow

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Do not believe economy grew

0

2.

One-time

0

1.

Continue

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Approve of Bush Handling Economy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

78

1.

Approve

1247

2.

Disapprove

1567

999.

Refused

21

Variable Format: numeric

Notes: UNF:5:DDd0aHk8NTtCuaRHI/q3dQ==

Bush Policies Are Improving Economy

f2529474 Location:

Value

Label

Frequency

Text

2.

Worse

1143

1.

Better

839

3.

No effect

790

999.

Refused

20

998.

Don’t know

121

Variable Format: numeric

Notes: UNF:5:/pXLl6PLNu1/SIuJs6Dw1w==

Trust Bush or Kerry on Economy

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

999.

Refused

0

998.

Don’t know

0

4.

Trust neither

0

1.

Bush

0

3.

Trust both the same

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Do Better Than Kerry on Economy

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

3.

Will do same job

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Reducing Taxes

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

91

4.

Strongly oppose

374

3.

Somewhat oppose

384

5.

Neither favor nor oppose

76

1.

Strongly favor

1379

999.

Refused

15

2.

Somewhat favor

594

Variable Format: numeric

Notes: UNF:5:itCcO30AT9mL66uPiMLGQQ==

Taxes Will Increase if Bush Elected

f2529474 Location:

Value

Label

Frequency

Text

2.

Down

0

3.

Same

0

1.

Up

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Taxes Will Increase if Kerry Elected

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Up

0

999.

Refused

0

3.

Same

0

2.

Down

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Oppose

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

999.

Refused

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Repealing Bush Tax Cuts for Wealthy

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

73

2.

Somewhat favor

159

4.

Strongly oppose

217

1.

Strongly favor

264

3.

Somewhat oppose

147

Variable Format: numeric

Notes: UNF:5:orAWcqQW5hereR+wcyZNvg==

Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

41

1.

Favor

249

2.

Oppose

147

Variable Format: numeric

Notes: UNF:5:+q6c7CGGg8M5Ldyopc0L+w==

Who Has Benefited Most From Bush Tax Cuts

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Less than $50,000

0

998.

Don’t know

0

3.

$50,000–$100,000

0

1.

Greater than $300,000

0

2.

$100,000–$300,000

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Personally Benefited From Bush Tax Cuts

f2529474 Location:

Value

Label

Frequency

Text

4.

Not at all

384

1.

Great deal

58

998.

Don’t know

29

3.

Not much

269

2.

Some

278

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:tRP6nNTY0wT89LJFsROCiw==

Personally Paying More or Less Taxes This Year

f2529474 Location:

Value

Label

Frequency

Text

3.

Same

0

1.

More

0

2.

Less

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Paying More Taxes This Year

f2529474 Location:

Value

Label

Frequency

Text

2.

Other

0

998.

Don’t know

0

1.

More income

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Paying Less Taxes This Year

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Less income

0

3.

Other

0

2.

Tax cuts

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Neither

0

999.

Refused

0

1.

Bush (correct)

0

3.

Both

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB25

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Income Level at Which Kerry Would Repeal Bush Tax Cuts

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

$50,000

0

3.

$200,000 (correct)

0

2.

$100,000

0

4.

$500,000

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB27

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anything come

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

10.

Other

13

1.

Wesley Clark

3

998.

Don’t know

251

4.

Richard Gephardt

0

6.

Dennis Kucinich

6

7.

Joe Lieberman

3

999.

Refused

6

2.

Howard Dean

30

3.

John Edwards

187

5.

John Kerry (correct)

393

9.

Al Sharpton

9

Variable Format: numeric

Notes: UNF:5:Ya3Y6m4jhfM8jXDrOQMQmQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

65

4.

Richard Gephardt

1

9.

Al Sharpton

3

1.

Wesley Clark

0

10.

Other

0

6.

Dennis Kucinich

3

998.

Don’t know

0

999.

Refused

0

7.

Joe Lieberman

0

3.

John Edwards

51

8.

Carol Moseley Braun

0

2.

Howard Dean

9

Variable Format: numeric

Notes: UNF:5:Up82VU+Gc6Z5K8zGh3dLtQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

2

2.

Howard Dean

4

4.

Richard Gephardt

1

999.

Refused

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

3

998.

Don’t know

0

6.

Dennis Kucinich

3

3.

John Edwards

11

10.

Other

0

7.

Joe Lieberman

3

1.

Wesley Clark

1

Variable Format: numeric

Notes: UNF:5:herCJXHb6L7T6+LZ+fj1Qg==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

2

3.

John Edwards

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

1

998.

Don’t know

0

999.

Refused

0

6.

Dennis Kucinich

1

4.

Richard Gephardt

3

10.

Other

0

1.

Wesley Clark

1

9.

Al Sharpton

4

5.

John Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:sHcVXy5PkSoJ4rIAWHzJew==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

2

1.

Wesley Clark

1

9.

Al Sharpton

0

10.

Other

0

7.

Joe Lieberman

0

2.

Howard Dean

0

999.

Refused

0

998.

Don’t know

0

4.

Richard Gephardt

0

3.

John Edwards

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:eAKYfiw2h8Cs+N5PoZmwDA==

Don’t-Know Prompt for cCB29

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

258

0.

Respondent answered without prompting

643

Variable Format: numeric

Notes: UNF:5:mpbcs9Q4dPpEa6xcuh7lng==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

8

4.

Richard Gephardt

0

5.

John Kerry

21

6.

Dennis Kucinich

0

998.

Don’t know

21

999.

Refused

1

10.

Other

1

2.

Howard Dean

15

7.

Joe Lieberman

0

8.

Carol Moseley Braun (correct)

0

9.

Al Sharpton (correct)

2

1.

Wesley Clark

1

Variable Format: numeric

Notes: UNF:5:srldAMICaxSlVlG2QtMd8A==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton (correct)

0

998.

Don’t know

0

10.

Other

0

3.

John Edwards

3

4.

Richard Gephardt

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

999.

Refused

0

2.

Howard Dean

1

8.

Carol Moseley Braun (correct)

0

7.

Joe Lieberman

0

5.

John Kerry

4

Variable Format: numeric

Notes: UNF:5:sHLJtpRO4eTtkCxjgv2vQA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

4.

Richard Gephardt

0

9.

Al Sharpton (correct)

0

999.

Refused

0

998.

Don’t know

0

2.

Howard Dean

1

5.

John Kerry

1

7.

Joe Lieberman

0

6.

Dennis Kucinich

1

8.

Carol Moseley Braun (correct)

0

10.

Other

0

3.

John Edwards

1

Variable Format: numeric

Notes: UNF:5:YOqBvIdmF6/BCaPZWCP1NA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

10.

Other

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

3.

John Edwards

0

8.

Carol Moseley Braun (correct)

0

9.

Al Sharpton (correct)

1

7.

Joe Lieberman

0

1.

Wesley Clark

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:raQ+jvCxSc7C3ayJb26r+Q==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton (correct)

0

5.

John Kerry

0

4.

Richard Gephardt

0

2.

Howard Dean

0

998.

Don’t know

0

999.

Refused

0

10.

Other

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

1

3.

John Edwards

0

8.

Carol Moseley Braun (correct)

0

Variable Format: numeric

Notes: UNF:5:huOSjlR+qeVInUbL/TA/FQ==

Don’t-Know Prompt for cCB31

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

49

1.

Respondent said don’t know and was prompted, “Anyone come to

21

Variable Format: numeric

Notes: UNF:5:5m13hIdUm4dnHcMTGiMzDg==

Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

999.

Refused

0

1.

Strongly favor

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Eliminating Estate Tax (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

1.

Strongly favor

0

3.

Somewhat oppose

0

999.

Refused

0

998.

Don’t know

0

4.

Strongly oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Reducing Estate Tax

f2529474 Location:

Value

Label

Frequency

Text

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

998.

Don’t know

0

2.

Kerry

0

3.

Both

0

1.

Bush (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB37

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

3.

Both

0

4.

Neither

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB39

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Reducing Estate Tax

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Kerry (correct)

0

4.

Neither

0

3.

Both

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB41

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529474 Location:

Value

Label

Frequency

Text

1.

Favor

0

2.

Oppose

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529474 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

999.

Refused

0

998.

Don’t know

0

1.

Strongly favor

0

4.

Strongly oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry (correct)

0

998.

Don’t know

0

3.

Both

0

999.

Refused

0

4.

Neither

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB46

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush

0

2.

Kerry (correct)

0

999.

Refused

0

4.

Neither

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB48

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Wants to Raise Taxes $900 Billion

f2529474 Location:

Value

Label

Frequency

Text

2.

Probably true

0

998.

Don’t know

0

1.

Definitely true

0

999.

Refused

0

4.

Definitely not true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Voted for Higher Taxes 350 Times

f2529474 Location:

Value

Label

Frequency

Text

4.

Definitely not true

0

3.

Probably not true

0

998.

Don’t know

0

2.

Probably true

0

1.

Definitely true

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Wants to Raise Gas Tax

f2529474 Location:

Value

Label

Frequency

Text

3.

Probably not true

0

2.

Probably true

0

1.

Definitely true

0

999.

Refused

0

4.

Definitely not true

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Raided Social Security for Tax Cuts

f2529474 Location:

Value

Label

Frequency

Text

2.

Probably true

0

4.

Definitely not true

0

999.

Refused

0

998.

Don’t know

0

1.

Definitely true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Doing More to Balance Budget

f2529474 Location:

Value

Label

Frequency

Text

3.

Less

0

1.

More

0

998.

Don’t know

0

4.

Nothing

0

2.

Same

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Tax Cuts or Spending More Responsible for Deficit

f2529474 Location:

Value

Label

Frequency

Text

2.

Spending increases

218

998.

Don’t know

36

1.

Tax cuts

105

999.

Refused

7

3.

Something else responsible

24

Variable Format: numeric

Notes: UNF:5:eSv2P755Z5RX/bC522M20g==

Tax Cuts or Spending More Responsible for Deficit, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:JcmGIpUTPt3WmT1b1iqpQw==

Domestic or Foreign Spending More Responsible for Deficit

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

999.

Refused

0

3.

Both equally responsible

9

1.

Domestic

62

2.

Defense and foreign

136

Variable Format: numeric

Notes: UNF:5:1bo0wvVrXkBulHiNjxHwhA==

Best Way to Reduce Deficit

f2529474 Location:

Value

Label

Frequency

Text

2.

Reduce spending

268

3.

Reduce Social Security and Medicare

7

998.

Don’t know

9

1.

Increase taxes

42

999.

Refused

1

4.

Something else is best way

22

Variable Format: numeric

Notes: UNF:5:YkmpsSTUMjknJyb/2NsW0w==

Best Way to Reduce Deficit, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:l1V7/cqwl6qXF03a48Vi7g==

Domestic or Foreign Spending Cuts Best Way to Reduce Deficit

f2529474 Location:

Value

Label

Frequency

Text

3.

Both equally

10

999.

Refused

5

1.

Domestic

40

2.

Defense and foreign

197

998.

Don’t know

16

Variable Format: numeric

Notes: UNF:5:Be1YELWARA4JRxUTYx65nw==

Know if Bush or Kerry Favors Cutting Deficit in Half

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

3.

Both (correct)

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB59

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Trust Republicans or Democrats on Deficit

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

4

4.

Trust neither

83

2.

Democrats

343

1.

Republicans

237

3.

Trust both the same

10

998.

Don’t know

62

Variable Format: numeric

Notes: UNF:5:obC4AHuQp2fQxjZGfBBPdQ==

Jobs Available in Community

f2529474 Location:

Value

Label

Frequency

Text

2.

Difficult to find

588

999.

Refused

4

3.

Depends on the type of job

60

1.

Plenty

257

998.

Don’t know

36

Variable Format: numeric

Notes: UNF:5:GBxcJ6wflPyGG+UksXa/NA==

Know Number of Jobs Gained Under Bush

f2529474 Location:

Value

Label

Frequency

Text

2.

Lost more

0

999.

Refused

0

1.

Gained more

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Three Million Jobs Lost Under Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Definitely true

0

2.

Probably true

0

3.

Probably not true

0

4.

Definitely not true

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Increasing Minimum Wage

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

998.

Don’t know

0

4.

Strongly oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Increasing Minimum Wage

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB66

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With New Overtime Regulations

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

New Overtime Regulations Will Increase Personal Pay

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Increase

0

3.

No difference

0

2.

Decrease

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Who Will Benefit Most From New Overtime Regulations

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Corporations

0

2.

Workers

0

3.

Both

0

4.

Will help neither

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Making Union Organizing Easier (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Making Union Organizing Easier (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

999.

Refused

0

4.

Strongly oppose

0

1.

Strongly favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

999.

Refused

0

3.

Both

0

1.

Bush

0

998.

Don’t know

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB73

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

3.

Both

0

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCB75

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Trade Has Improved U.S. Economy

f2529474 Location:

Value

Label

Frequency

Text

4.

Hurt a lot

0

999.

Refused

0

998.

Don’t know

0

2.

Helped a little

0

1.

Helped a lot

0

5.

No effect

0

3.

Hurt a little

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Trade Has Improved Personal Economic Situation

f2529474 Location:

Value

Label

Frequency

Text

3.

Hurt a little

0

4.

Hurt a lot

0

1.

Helped a lot

0

2.

Helped a little

0

998.

Don’t know

0

5.

No effect

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Encouraging Trade

f2529474 Location:

Value

Label

Frequency

Text

2.

Encourage a little

0

4.

Discourage a lot

0

1.

Encourage a lot

0

3.

Discourage a little

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Favorable to Trade

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat opposes

0

998.

Don’t know

0

2.

Somewhat favors

0

999.

Refused

0

1.

Strongly favors

0

4.

Strongly opposes

0

5.

Neither favors nor opposes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Favorable to Trade

f2529474 Location:

Value

Label

Frequency

Text

5.

Neither favors nor opposes

0

3.

Somewhat opposes

0

998.

Don’t know

0

1.

Strongly favors

0

999.

Refused

0

2.

Somewhat favors

0

4.

Strongly opposes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor More Trade Agreements

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

389

3.

Somewhat oppose

480

999.

Refused

29

5.

Neither favor nor oppose

136

2.

Somewhat favor

746

4.

Strongly oppose

787

998.

Don’t know

346

Variable Format: numeric

Notes: UNF:5:TMJlkGCuahRCRkQsGWVBXw==

Know Democratic Candidate Who Opposes NAFTA, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

4

7.

Joe Lieberman

0

999.

Refused

1

5.

John Kerry

142

8.

Carol Moseley Braun

0

9.

Al Sharpton

6

1.

Wesley Clark

1

10.

Other

13

2.

Howard Dean

24

6.

Dennis Kucinich

28

998.

Don’t know

361

3.

John Edwards (correct)

251

Variable Format: numeric

Notes: UNF:5:sgax+LutPMx3vnw4MeRBLw==

Know Democratic Candidate Who Opposes NAFTA, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry

21

1.

Wesley Clark

1

10.

Other

0

999.

Refused

0

4.

Richard Gephardt

3

3.

John Edwards (correct)

12

7.

Joe Lieberman

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

9

9.

Al Sharpton

6

2.

Howard Dean

6

Variable Format: numeric

Notes: UNF:5:3q1DoQAdigH6kTZC9zptdA==

Know Democratic Candidate Who Opposes NAFTA, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

3.

John Edwards (correct)

2

9.

Al Sharpton

5

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

10.

Other

0

6.

Dennis Kucinich

3

5.

John Kerry

1

2.

Howard Dean

3

998.

Don’t know

0

1.

Wesley Clark

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:IydiP20eMTtiMaJ9wXLyQQ==

Know Democratic Candidate Who Opposes NAFTA, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

1

7.

Joe Lieberman

0

10.

Other

0

5.

John Kerry

0

6.

Dennis Kucinich

0

2.

Howard Dean

2

999.

Refused

0

4.

Richard Gephardt

0

998.

Don’t know

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:AhQqm47kz80PyXY0/w8uYw==

Know Democratic Candidate Who Opposes NAFTA, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

1

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

10.

Other

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

999.

Refused

0

998.

Don’t know

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:xDH0ekJyg3kxKdw/HveYiA==

Don’t-Know Prompt for cCB83

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

465

1.

Respondent said don’t know and was prompted, “Anyone come to

366

Variable Format: numeric

Notes: UNF:5:cQfESdoJ1NqlqUZ1Tx9RQA==

Favor Government Encouraging Outsourcing

f2529474 Location:

Value

Label

Frequency

Text

5.

Stay out

0

998.

Don’t know

0

2.

Encourage a little

0

1.

Encourage a lot

0

999.

Refused

0

3.

Discourage a little

0

4.

Discourage a lot

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Better at Preventing Outsourcing

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

999.

Refused

0

998.

Don’t know

0

4.

Neither would do well

0

1.

Bush

0

3.

Both would do the same

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Do Better Than Kerry at Preventing Outsourcing

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

3.

Will do same job

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Favors Sending Jobs Overseas

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Definitely true

0

3.

Probably not true

0

2.

Probably true

0

4.

Definitely not true

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Controlling Health Insurance Costs

f2529474 Location:

Value

Label

Frequency

Text

1.

More

0

4.

Nothing

0

2.

Same

0

998.

Don’t know

0

3.

Less

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Spending More on Health Insurance

f2529474 Location:

Value

Label

Frequency

Text

2.

Same

250

4.

None

56

999.

Refused

8

1.

More

1070

998.

Don’t know

40

3.

Less

56

Variable Format: numeric

Notes: UNF:5:xt/+79cAej6b87p9dJPZFQ==

Favor Government Health Insurance for Children (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

2.

Oppose

0

998.

Don’t know

0

999.

Refused

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Health Insurance for Children (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Strongly oppose

0

2.

Somewhat favor

0

998.

Don’t know

0

1.

Strongly favor

0

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Health Insurance for Workers (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Favor

0

2.

Oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Health Insurance for Workers (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

999.

Refused

0

1.

Strongly favor

0

2.

Somewhat favor

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry (correct)

0

998.

Don’t know

0

4.

Neither

0

3.

Both

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC07

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

998.

Don’t know

0

2.

Kerry (correct)

0

999.

Refused

0

3.

Both

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC09

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

3.

John Edwards

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

4.

Richard Gephardt (correct)

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

1.

Wesley Clark

0

5.

John Kerry

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

999.

Refused

0

998.

Don’t know

0

10.

Other

0

7.

Joe Lieberman

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

4.

Richard Gephardt (correct)

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

John Edwards

0

998.

Don’t know

0

5.

John Kerry

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

4.

Richard Gephardt (correct)

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

998.

Don’t know

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

2.

Howard Dean

0

999.

Refused

0

4.

Richard Gephardt (correct)

0

6.

Dennis Kucinich (correct)

0

5.

John Kerry

0

10.

Other

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

10.

Other

0

4.

Richard Gephardt (correct)

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

6.

Dennis Kucinich (correct)

0

7.

Joe Lieberman

0

2.

Howard Dean

0

999.

Refused

0

1.

Wesley Clark

0

5.

John Kerry

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC11

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

9.

Al Sharpton

0

1.

Wesley Clark

0

2.

Howard Dean

0

999.

Refused

0

4.

Richard Gephardt

0

5.

John Kerry

0

998.

Don’t know

0

7.

Joe Lieberman

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich (correct)

0

1.

Wesley Clark

0

5.

John Kerry

0

998.

Don’t know

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

10.

Other

0

4.

Richard Gephardt

0

999.

Refused

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

999.

Refused

0

4.

Richard Gephardt

0

998.

Don’t know

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

6.

Dennis Kucinich (correct)

0

9.

Al Sharpton

0

3.

John Edwards

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

10.

Other

0

2.

Howard Dean

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

10.

Other

0

7.

Joe Lieberman

0

6.

Dennis Kucinich (correct)

0

3.

John Edwards

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

999.

Refused

0

5.

John Kerry

0

4.

Richard Gephardt

0

2.

Howard Dean

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC13

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Prescription Coverage for Seniors

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

2.

Somewhat favor

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Congress Passing Medicare Prescription Law

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Medicare Prescription Law (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

376

4.

Strongly oppose

216

3.

Somewhat oppose

99

999.

Refused

3

998.

Don’t know

101

2.

Somewhat favor

351

Variable Format: numeric

Notes: UNF:5:aqPXGXIXlwcF3/QgfnYJ8Q==

Favor Medicare Prescription Law (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

Favor

0

999.

Refused

0

998.

Don’t know

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Medicare Prescription Law Despite Counterarguments

f2529474 Location:

Value

Label

Frequency

Text

3.

Oppose

41

1.

Favor

245

998.

Don’t know

16

999.

Refused

9

2.

Uncertain

416

Variable Format: numeric

Notes: UNF:5:EtrUzY67F6HufpKqMVWoLw==

Oppose Medicare Prescription Law Despite Counterarguments

f2529474 Location:

Value

Label

Frequency

Text

1.

Oppose

201

3.

Favor

3

998.

Don’t know

7

2.

Uncertain

94

999.

Refused

10

Variable Format: numeric

Notes: UNF:5:dz2JFltuIMFcRzSBCRhGdw==

Seniors or Companies Will Benefit More From Medicare Prescription Law

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Seniors

0

3.

Both will benefit equally

0

2.

Drug manufacturers

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Medicare Prescription Law

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

3.

Both

0

2.

Kerry

0

998.

Don’t know

0

1.

Bush (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC22

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Re-Importing Drugs (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Re-Importing Drugs (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

1.

Strongly favor

0

4.

Strongly oppose

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Re-Importing Drugs

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

3.

Both

0

2.

Kerry (correct)

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC26

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Negotiating With Drug Companies

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry (correct)

0

999.

Refused

0

998.

Don’t know

0

3.

Both

0

4.

Neither

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC28

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Responsible for Flu Vaccine Shortage

f2529474 Location:

Value

Label

Frequency

Text

3.

Slightly

0

2.

Somewhat

0

999.

Refused

0

998.

Don’t know

0

4.

Not at all

0

1.

Very

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Responsible for Flu Vaccine Shortage

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

999.

Refused

0

1.

Very

0

3.

Slightly

0

4.

Not at all

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Social Security in Stock Market (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

9

5.

Neither favor nor oppose

49

4.

Strongly oppose

370

1.

Strongly favor

361

998.

Don’t know

69

2.

Somewhat favor

425

3.

Somewhat oppose

197

Variable Format: numeric

Notes: UNF:5:QengYyfGUSd6hkkg/Jd2Aw==

Favor Social Security in Stock Market (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Social Security in Stock Market

f2529474 Location:

Value

Label

Frequency

Text

3.

Both

0

4.

Neither

0

1.

Bush (correct)

0

999.

Refused

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCC34

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With No Child Left Behind

f2529474 Location:

Value

Label

Frequency

Text

4.

Not at all

0

1.

Very

0

999.

Refused

0

3.

Not too

0

998.

Don’t know

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

No Child Left Behind Has Improved Schools (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat better

0

998.

Don’t know

0

5.

No difference

0

4.

Much worse

0

1.

Much better

0

3.

Somewhat worse

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

No Child Left Behind Has Improved Schools (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat worse

0

1.

Much better

0

999.

Refused

0

998.

Don’t know

0

5.

No difference

0

4.

Much worse

0

2.

Somewhat better

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor School Vouchers

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

912

1.

Strongly favor

846

999.

Refused

9

5.

Neither favor nor oppose

62

998.

Don’t know

55

2.

Somewhat favor

536

3.

Somewhat oppose

493

Variable Format: numeric

Notes: UNF:5:Kpe7jk5LMdo+LgyJ14MftQ==

Favor Federal Assistance to Schools

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

1.

More

1048

4.

None

45

2.

Same

301

3.

Less

66

998.

Don’t know

19

Variable Format: numeric

Notes: UNF:5:unhQsRNdw1Mx6p2svr/vXw==

Favor Government Trying to Reduce Income Differences

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

1159

3.

Somewhat oppose

350

999.

Refused

40

998.

Don’t know

161

4.

Strongly oppose

606

5.

Neither favor nor oppose

100

2.

Somewhat favor

497

Variable Format: numeric

Notes: UNF:5:nv8N+VaHrX8SkzhsD5o9lw==

U.S. Is Regarded Differently Because of Bush

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

No different

0

1.

Better

0

2.

Worse

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Matters How U.S. Is Regarded Because of Bush

f2529474 Location:

Value

Label

Frequency

Text

3.

Not much

0

999.

Refused

0

4.

Not at all

0

2.

Some

0

998.

Don’t know

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Spending on Military

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

31

2.

Same

658

3.

Less

224

1.

More

551

999.

Refused

5

4.

None

11

Variable Format: numeric

Notes: UNF:5:N5+ANMjR//K77MtPjJzyDQ==

Trust Bush or Kerry to Be Commander-in-Chief

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Trust both the same

0

998.

Don’t know

0

1.

Bush

0

4.

Trust neither

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Do Better Than Kerry as Commander-in-Chief

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

3.

Will do same job

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

U.S. Too Involved in Trouble Spots Other Than Iraq

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Not enough

0

1.

Too involved

0

998.

Don’t know

0

3.

Right amount

0

4.

Depends on area

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Favor

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Moving Troops From Europe and Korea (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Somewhat favor

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Moving Troops From Europe and Korea

f2529474 Location:

Value

Label

Frequency

Text

3.

Both

0

2.

Kerry

0

1.

Bush (correct)

0

999.

Refused

0

4.

Neither

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD09

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Reinstating Draft

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Reinstating Draft

f2529474 Location:

Value

Label

Frequency

Text

3.

Both

0

998.

Don’t know

0

2.

Kerry

0

999.

Refused

0

1.

Bush

0

4.

Neither (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD12

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Reinstating Draft

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

3.

Both

0

2.

Kerry

0

4.

Neither (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD14

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Think Bush Will Reinstate Draft

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Think Kerry Will Reinstate Draft

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Veterans Getting Health Care They Were Promised

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Approve of Bush Handling Iraq

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

11

998.

Don’t know

97

2.

Disapprove

1405

1.

Approve

1400

Variable Format: numeric

Notes: UNF:5:B/8+HYCiwBOX1uNZ+rpFqA==

Favor Spending on Iraq and Afghanistan

f2529474 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Iraq War Was Worth It

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

717

999.

Refused

6

2.

No

693

998.

Don’t know

64

Variable Format: numeric

Notes: UNF:5:cfVk67BGbTcPYDoirO52mQ==

Iraq War Was Worth It Despite Counterarguments

f2529474 Location:

Value

Label

Frequency

Text

2.

Uncertain

126

998.

Don’t know

10

1.

Sure was worth it

569

999.

Refused

6

3.

Not worth it

6

Variable Format: numeric

Notes: UNF:5:Xk0L7j9Ikn5wVUF+x02BIg==

Iraq War Was Not Worth It Despite Counterarguments

f2529474 Location:

Value

Label

Frequency

Text

3.

Worth it

16

998.

Don’t know

10

2.

Uncertain

216

1.

Sure was not worth it

442

999.

Refused

9

Variable Format: numeric

Notes: UNF:5:CQnuWsBwHm9kHfrUWwEGMA==

U.S. Too Quick to Go to War With Iraq

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Slow

0

998.

Don’t know

0

3.

Right

0

4.

Should not have gone to war at all

0

1.

Quick

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cost of Iraq War Was Necessary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Domestic programs

0

3.

Should not have spent on either

0

999.

Refused

0

2.

Iraq

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Iraq Had WMDs

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

True

0

999.

Refused

0

2.

Not true

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Spending on Iraq and Afghanistan

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush (correct)

0

3.

Both

0

2.

Kerry

0

4.

Neither

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD27

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Opposed Iraq War, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton (correct)

13

6.

Dennis Kucinich (correct)

32

999.

Refused

3

1.

Wesley Clark

8

3.

John Edwards

149

2.

Howard Dean (correct)

140

5.

John Kerry

301

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

7.

Joe Lieberman

3

998.

Don’t know

229

10.

Other

23

Variable Format: numeric

Notes: UNF:5:SLBH1DOpNPq1yJTdNGmOTg==

Know Democratic Candidate Who Opposed Iraq War, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Howard Dean (correct)

22

5.

John Kerry

45

999.

Refused

0

8.

Carol Moseley Braun

0

10.

Other

0

9.

Al Sharpton (correct)

14

6.

Dennis Kucinich (correct)

21

7.

Joe Lieberman

0

4.

Richard Gephardt

2

3.

John Edwards

62

1.

Wesley Clark

2

Variable Format: numeric

Notes: UNF:5:wizYU+cF1pU7XnkuC97Zlw==

Know Democratic Candidate Who Opposed Iraq War, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

2

1.

Wesley Clark

5

998.

Don’t know

0

9.

Al Sharpton (correct)

9

999.

Refused

0

6.

Dennis Kucinich (correct)

5

3.

John Edwards

7

2.

Howard Dean (correct)

12

10.

Other

0

7.

Joe Lieberman

1

8.

Carol Moseley Braun

0

5.

John Kerry

8

Variable Format: numeric

Notes: UNF:5:Er+yT1cDr+EW457UEEj6gw==

Know Democratic Candidate Who Opposed Iraq War, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

4

7.

Joe Lieberman

1

8.

Carol Moseley Braun

0

5.

John Kerry

1

999.

Refused

0

2.

Howard Dean (correct)

1

10.

Other

1

9.

Al Sharpton (correct)

3

6.

Dennis Kucinich (correct)

2

998.

Don’t know

0

1.

Wesley Clark

3

4.

Richard Gephardt

2

Variable Format: numeric

Notes: UNF:5:R5v0q7Qi2khxZEcaQgsSQA==

Know Democratic Candidate Who Opposed Iraq War, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

John Kerry

4

10.

Other

0

2.

Howard Dean (correct)

1

998.

Don’t know

0

6.

Dennis Kucinich (correct)

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

3.

John Edwards

0

1.

Wesley Clark

2

4.

Richard Gephardt

1

9.

Al Sharpton (correct)

1

Variable Format: numeric

Notes: UNF:5:P9Y49hY0dqVijduWwxrToA==

Don’t-Know Prompt for cCD29

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

668

1.

Respondent said don’t know and was prompted, “Anyone come to

233

Variable Format: numeric

Notes: UNF:5:JPOnzbs0MZ2PU0OMW7F+ew==

Iraq War Reduced Risk of Terrorism

f2529474 Location:

Value

Label

Frequency

Text

3.

Made no difference

0

1.

Reduced

0

999.

Refused

0

998.

Don’t know

0

2.

Increased

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Hussein Helped Al Qaeda With 9/11

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Hussein Linked to Al Qaeda

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Not true

0

1.

True

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Spending More on Rebuilding Iraq

f2529474 Location:

Value

Label

Frequency

Text

4.

None

310

999.

Refused

9

3.

Less

510

2.

Same

480

1.

More

118

998.

Don’t know

53

Variable Format: numeric

Notes: UNF:5:M3ma3K46ubLggh/LytGe9Q==

Favor Keeping Troops in Iraq Until Government Stable

f2529474 Location:

Value

Label

Frequency

Text

1.

Keep in Iraq

0

2.

Bring home

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

U.S. or New Government Will Have More Power in Iraq

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Iraq have more

0

2.

U.S. have more

0

999.

Refused

0

3.

Equal

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

U.S. or New Government Will Have Much More Power in Iraq

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Little

0

999.

Refused

0

1.

Much

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Power Transfer in Iraq Will Increase Risk of Terrorism

f2529474 Location:

Value

Label

Frequency

Text

2.

Decrease

0

999.

Refused

0

3.

Same

0

998.

Don’t know

0

1.

Increase

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

When Troops Should Return Home

f2529474 Location:

Value

Label

Frequency

Text

2.

Three months

0

5.

More than one year

0

999.

Refused

0

6.

Less than three months

0

3.

Six months

0

4.

One year

0

1.

Right away

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

When Troops Will Return Home

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Three months

0

3.

One year

0

998.

Don’t know

0

4.

More than one year

0

5.

Less than three months

0

2.

Six months

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know How Many Troops in Iraq

f2529474 Location:

Value

Label

Frequency

Text

3.

115,000 (correct)

0

1.

40,000

0

4.

200,000

0

998.

Don’t know

0

999.

Refused

0

2.

80,000

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know How Many Troops in Iraq, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Has Plan for Iraq

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Has Plan for Iraq

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Had Plan for Iraq When Voted

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Had Plan for Iraq When Voted

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Soldiers Followed Orders to Mistreat Iraqi Prisoners

f2529474 Location:

Value

Label

Frequency

Text

3.

Soldiers did not do it

0

999.

Refused

0

2.

Following orders

0

998.

Don’t know

0

4.

Both on their own and following orders

0

1.

On their own

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Pentagon Acted Property on Iraqi Prisoner Treatment

f2529474 Location:

Value

Label

Frequency

Text

1.

Acted properly

0

3.

Soldiers did not do it

0

999.

Refused

0

2.

Covered up

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Should Apologize for Iraqi Prisoner Treatment

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

3.

Already apologized

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Rumsfeld Should Resign Over Iraqi Prisoner Treatment

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Regular Military Sent to Iraq Properly Prepared

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

2.

No

0

4.

Properly equipped, not trained

0

3.

Properly trained, not equipped

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Guard and Reserves Sent to Iraq Properly Prepared

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

3.

Properly trained, not equipped

0

999.

Refused

0

998.

Don’t know

0

2.

No

0

4.

Properly equipped, not trained

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Pentagon Overburdened Guard and Reserves

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

998.

Don’t know

0

1.

Strongly agree

0

999.

Refused

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Important That Democrats Nominate Iraq War Supporter

f2529474 Location:

Value

Label

Frequency

Text

3.

Would make no difference

0

999.

Refused

0

998.

Don’t know

0

2.

Less

0

1.

More

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Halliburton Awarded Contracts Because of Cheney

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly agree

0

3.

Somewhat disagree

0

999.

Refused

0

2.

Somewhat agree

0

4.

Strongly disagree

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Responsible for Missing Explosives in Iraq

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Accountable

0

999.

Refused

0

3.

Partly at fault

0

2.

Not at fault

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Doing More to Protect Terrorism Targets

f2529474 Location:

Value

Label

Frequency

Text

4.

Nothing

13

998.

Don’t know

35

999.

Refused

3

2.

Same

426

1.

More

973

3.

Less

30

Variable Format: numeric

Notes: UNF:5:ZCWvZECH8W6ghI/IEwJDUg==

Favor Spending More on Homeland Security

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

44

2.

Same

627

999.

Refused

4

1.

More

632

4.

None

32

3.

Less

141

Variable Format: numeric

Notes: UNF:5:O9mHb+JHwOQdznwGiQOM1g==

Feel Safer Because of Government Efforts After 9/11 (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat less

0

1.

Much more

0

999.

Refused

0

998.

Don’t know

0

5.

Made no difference

0

2.

Somewhat more

0

4.

Much less

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Feel Safer Because of Government Efforts After 9/11 (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

4.

Much less

37

1.

Much more

127

5.

Made no difference

66

998.

Don’t know

5

2.

Somewhat more

421

999.

Refused

2

3.

Somewhat less

55

Variable Format: numeric

Notes: UNF:5:oZsWqR8UfTP0BgmPKp/h3A==

Chance of Terrorist Attack in Next Year

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

11

998.

Don’t know

40

Variable Format: numeric

Notes: UNF:5:eA4YG8ilWqVsvEPP3x9yxw==

Approve of Bush Handling Terrorism

f2529474 Location:

Value

Label

Frequency

Text

2.

Disapprove

574

998.

Don’t know

39

999.

Refused

8

1.

Approve

859

Variable Format: numeric

Notes: UNF:5:quPLCmAaNSEBtC15s6899w==

Trust Bush or Kerry on Terrorism

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Trust neither

0

1.

Bush

0

998.

Don’t know

0

3.

Trust both the same

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Do Better Than Kerry on Terrorism

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

3.

Will do same job

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Clinton or Bush Took Terrorism Threat More Seriously

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Bush’s

0

3.

Both took the threat equally seriously

0

1.

Clinton’s

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Doing More About Potential Terrorists

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Same

0

3.

Less

0

999.

Refused

0

1.

More

0

4.

Nothing

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Approve of Patriot Act

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat approve

0

1.

Strongly approve

0

5.

Neither approve nor disapprove

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Patriot Act Is Good for Country

f2529474 Location:

Value

Label

Frequency

Text

1.

Good

668

999.

Refused

3

3.

Neither good nor bad

44

998.

Don’t know

46

2.

Bad

446

Variable Format: numeric

Notes: UNF:5:XEEJnR1fRdRNkB6HQSWGKQ==

Know if Bush or Kerry Favors Patriot Act (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Both

0

1.

Bush (correct)

0

4.

Neither

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD68

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Patriot Act (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

4.

Neither

0

3.

Both

0

1.

Bush (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD70

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor 9/11 Recommendations

f2529474 Location:

Value

Label

Frequency

Text

3.

Some

0

1.

All

0

2.

Most

0

999.

Refused

0

4.

None

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush Favors 9/11 Recommendations

f2529474 Location:

Value

Label

Frequency

Text

2.

Most

0

1.

All

0

3.

Some

0

998.

Don’t know

0

999.

Refused

0

4.

None

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Kerry Favors 9/11 Recommendations

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Some

0

2.

Most

0

4.

None

0

1.

All

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bin Laden Wants Bush or Kerry to Win

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

3.

Did not care

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Did Everything Possible Against Al Qaeda Before 9/11

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Responsible for Bin Laden at Large

f2529474 Location:

Value

Label

Frequency

Text

2.

Not his fault

0

998.

Don’t know

0

1.

Responsible

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Has Plan for Bin Laden

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

4.

Neither has realistic plan

0

2.

Kerry

0

3.

Both have equally realistic plans

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Better at Protecting Soviet Nuclear Materials

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

2.

Kerry

0

3.

Both

0

4.

Neither

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCD79

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Job Bush Did Protecting Soviet Nuclear Materials

f2529474 Location:

Value

Label

Frequency

Text

2.

Good

0

1.

Excellent

0

998.

Don’t know

0

4.

Poor

0

999.

Refused

0

3.

Fair

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Restricting Immigration

f2529474 Location:

Value

Label

Frequency

Text

2.

Same

358

999.

Refused

11

1.

More

879

4.

Nothing

57

3.

Less

124

998.

Don’t know

51

Variable Format: numeric

Notes: UNF:5:twgwcmB5bvuaTeC3yaGYqQ==

Favor Banning All Abortions

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

52

2.

Somewhat favor

206

1.

Strongly favor

656

999.

Refused

17

5.

Neither favor nor oppose

88

3.

Somewhat oppose

529

4.

Strongly oppose

1365

Variable Format: numeric

Notes: UNF:5:8uX5xzUmNGwa2p0N3Cy5sA==

Favor Making Abortion More Difficult

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Strongly favor

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

4.

Strongly oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Making Abortion More Difficult

f2529474 Location:

Value

Label

Frequency

Text

3.

Both

0

2.

Kerry

0

1.

Bush (correct)

0

999.

Refused

0

998.

Don’t know

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE03

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Banning Late-Term Abortions (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

2.

Somewhat favor

0

999.

Refused

0

3.

Somewhat oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Banning Late-Term Abortions (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

73

5.

Neither favor nor oppose

44

4.

Strongly oppose

461

1.

Strongly favor

507

3.

Somewhat oppose

222

999.

Refused

13

2.

Somewhat favor

113

Variable Format: numeric

Notes: UNF:5:VLyroXJ0y3Q52S1FoI7ZSg==

Favor Stem Cell Funding (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Favor

0

2.

Oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Strongly oppose

0

2.

Somewhat favor

0

1.

Strongly favor

0

998.

Don’t know

0

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE10

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

3.

Both

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE12

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Additional Stem Cell Lines

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

999.

Refused

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Additional Stem Cell Lines

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

2.

Kerry (correct)

0

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE15

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Federal Marriage Amendment (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

999.

Refused

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Federal Marriage Amendment (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Strongly oppose

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Federal Marriage Amendment (Wording #3)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Federal Marriage Amendment (Wording #4)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

4.

Strongly oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

1.

Strongly favor

0

999.

Refused

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Federal Marriage Amendment (Wording #5)

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly favor

1039

2.

Somewhat favor

170

3.

Somewhat oppose

325

999.

Refused

20

998.

Don’t know

73

4.

Strongly oppose

1118

5.

Neither favor nor oppose

168

Variable Format: numeric

Notes: UNF:5:/1BMpn0gqveoyOwETTJ7RA==

Favor State Law Allowing Same-Sex Marriage (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

83

1.

Strongly favor

177

998.

Don’t know

53

4.

Strongly oppose

490

999.

Refused

14

2.

Somewhat favor

130

Variable Format: numeric

Notes: UNF:5:uEB+YvE1cc1pnCkA08hkdQ==

Favor State Law Allowing Same-Sex Marriage (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

23

3.

Somewhat oppose

19

1.

Strongly favor

46

999.

Refused

4

4.

Strongly oppose

110

998.

Don’t know

14

Variable Format: numeric

Notes: UNF:5:QD1a9PG/cn4Nwp/XpEDW7Q==

Favor State Law Allowing Civil Unions

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

85

1.

Strongly favor

115

2.

Somewhat favor

186

998.

Don’t know

27

999.

Refused

10

4.

Strongly oppose

279

Variable Format: numeric

Notes: UNF:5:KGkHjznXrQcktgnaLdcLjg==

More Likely to Vote for Candidate Favoring Same-Sex Unions

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Much less

0

1.

Much more

0

5.

Would not matter

0

3.

Somewhat less

0

2.

Somewhat more

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Gays in Military

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Prohibiting Employment Discrimination Against Gays

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

3.

Somewhat oppose

0

999.

Refused

0

4.

Strongly oppose

0

998.

Don’t know

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offended by Redskins’ Name

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

1.

Offensive

3

998.

Don’t know

0

2.

Does not bother

24

Variable Format: numeric

Notes: UNF:5:Qfdb6aMPP3s0X7NcT/+CIA==

Favor Gun Control

f2529474 Location:

Value

Label

Frequency

Text

1.

More

882

2.

Same

301

998.

Don’t know

27

3.

Less

120

999.

Refused

4

4.

Nothing

146

Variable Format: numeric

Notes: UNF:5:sa8vwCn+poarKPlIILUMaQ==

Favor Congress Extending Assault Weapons Ban

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

1026

999.

Refused

9

998.

Don’t know

76

2.

No

322

Variable Format: numeric

Notes: UNF:5:jeXVDVGfFfTJz4pko4xnzA==

Favor Assault Weapons Ban (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Assault Weapons Ban (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

2.

Somewhat favor

0

998.

Don’t know

0

3.

Somewhat oppose

0

1.

Strongly favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

3.

Both (correct)

0

2.

Kerry

0

999.

Refused

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE35

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither

0

2.

Kerry

0

998.

Don’t know

0

3.

Both (correct)

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCE37

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Would Do More on Foreign Oil

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Both

0

4.

Neither

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCF02

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Will Do More Than Kerry on Foreign Oil

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gas Prices Caused Personal Financial Hardship (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, serious

0

2.

Not serious

0

998.

Don’t know

0

999.

Refused

0

3.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gas Prices Caused Personal Financial Hardship (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, serious

0

2.

Not serious

0

999.

Refused

0

3.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Change Vacation Plans Because of Gas Prices

f2529474 Location:

Value

Label

Frequency

Text

3.

Not planning a vacation

0

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Government Doing More on Environment

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Less

0

998.

Don’t know

0

2.

Same

0

1.

More

0

4.

Nothing

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Global Warming Is Serious Problem

f2529474 Location:

Value

Label

Frequency

Text

1.

Very

0

4.

Not at all

0

2.

Somewhat

0

999.

Refused

0

998.

Don’t know

0

3.

Not too

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Limiting Lawsuits (No Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Oppose

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Limiting Lawsuits (Strongly Follow-Up)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

4.

Strongly oppose

0

999.

Refused

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Neither

0

999.

Refused

0

2.

Kerry

0

3.

Both

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCG03

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush (correct)

0

999.

Refused

0

3.

Both

0

2.

Kerry

0

4.

Neither

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCG05

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Limiting Malpractice Awards

f2529474 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

998.

Don’t know

0

1.

Strongly favor

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Kerry Favors Limiting Malpractice Awards

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Both

0

1.

Bush (correct)

0

4.

Neither

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCG08

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supreme Court Important in Vote

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Comfortable With Bush Making Supreme Court Nominations

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat comfortable

0

1.

Very comfortable

0

998.

Don’t know

0

4.

Somewhat uncomfortable

0

3.

Neither comfortable nor uncomfortable

0

5.

Very uncomfortable

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Comfortable With Kerry Making Supreme Court Nominations

f2529474 Location:

Value

Label

Frequency

Text

5.

Very uncomfortable

0

999.

Refused

0

4.

Somewhat uncomfortable

0

2.

Somewhat comfortable

0

998.

Don’t know

0

1.

Very comfortable

0

3.

Neither comfortable nor uncomfortable

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Supreme Court Salary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

$193,000–$201,000

0

5.

More than $201,000

0

4.

Less than $193,000

0

999.

Refused

0

2.

$201,000

0

1.

$193,000 (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCH04

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supreme Court Salary Too High

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Too little

0

998.

Don’t know

0

3.

Right

0

1.

Too much

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know President’s Salary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

$400,000 (correct)

0

999.

Refused

0

2.

$200,000

0

3.

$200,000–$400,000

0

5.

More than $400,000

0

4.

Less than $200,000

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cCH07

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

President’s Salary Too High

f2529474 Location:

Value

Label

Frequency

Text

3.

Right

0

999.

Refused

0

998.

Don’t know

0

2.

Too little

0

1.

Too much

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Important That Democrats Nominate Vietnam Veteran

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat unimportant

0

998.

Don’t know

0

5.

Neither important nor unimportant

0

999.

Refused

0

4.

Very unimportant

0

2.

Somewhat important

0

1.

Very important

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Other

9

6.

Dennis Kucinich

0

2.

Howard Dean

9

998.

Don’t know

191

7.

Joe Lieberman

0

4.

Richard Gephardt

2

999.

Refused

3

3.

John Edwards

27

9.

Al Sharpton

0

5.

John Kerry (correct)

645

1.

Wesley Clark (correct)

15

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:UCZ479zGufWeVh5uFPLEtQ==

Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Richard Gephardt

0

2.

Howard Dean

1

3.

John Edwards

1

5.

John Kerry (correct)

6

6.

Dennis Kucinich

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

10.

Other

0

8.

Carol Moseley Braun

0

1.

Wesley Clark (correct)

8

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:Fq/a7SFER2C8A9GCgpnVig==

Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

7.

Joe Lieberman

0

999.

Refused

0

10.

Other

0

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

1.

Wesley Clark (correct)

0

998.

Don’t know

0

6.

Dennis Kucinich

1

3.

John Edwards

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:SJr/KpLXDb/jr0GpVoJ50g==

Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

8.

Carol Moseley Braun

0

999.

Refused

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

1.

Wesley Clark (correct)

0

998.

Don’t know

0

3.

John Edwards

0

10.

Other

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Other

0

3.

John Edwards

0

1.

Wesley Clark (correct)

0

7.

Joe Lieberman

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

999.

Refused

0

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA02

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

708

1.

Respondent said don’t know and was prompted, “Anyone come to

193

Variable Format: numeric

Notes: UNF:5:slC/hwM/W3FSfc/2bgUhnw==

Know Candidate Who Is Vietnam Veteran, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

John Edwards

1

7.

Dennis Kucinich

0

2.

Wesley Clark (correct)

3

998.

Don’t know

50

9.

Carol Moseley Braun

0

3.

Howard Dean

0

8.

Joe Lieberman

0

11.

Other

0

10.

Al Sharpton

0

6.

John Kerry (correct)

161

1.

George W. Bush

8

5.

Richard Gephardt

2

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:n+5bRR/gMAjYLIVmC5CbLQ==

Know Candidate Who Is Vietnam Veteran, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

George W. Bush

0

2.

Wesley Clark (correct)

0

11.

Other

0

8.

Joe Lieberman

0

6.

John Kerry (correct)

0

9.

Carol Moseley Braun

0

4.

John Edwards

0

998.

Don’t know

0

5.

Richard Gephardt

0

10.

Al Sharpton

0

3.

Howard Dean

0

7.

Dennis Kucinich

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Is Vietnam Veteran, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Carol Moseley Braun

0

11.

Other

0

8.

Joe Lieberman

0

998.

Don’t know

0

7.

Dennis Kucinich

0

5.

Richard Gephardt

0

4.

John Edwards

0

2.

Wesley Clark (correct)

0

1.

George W. Bush

0

3.

Howard Dean

0

6.

John Kerry (correct)

0

10.

Al Sharpton

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Is Vietnam Veteran, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Dennis Kucinich

0

3.

Howard Dean

0

998.

Don’t know

0

9.

Carol Moseley Braun

0

999.

Refused

0

2.

Wesley Clark (correct)

0

6.

John Kerry (correct)

0

10.

Al Sharpton

0

5.

Richard Gephardt

0

1.

George W. Bush

0

4.

John Edwards

0

8.

Joe Lieberman

0

11.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Is Vietnam Veteran, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Wesley Clark (correct)

0

6.

John Kerry (correct)

0

11.

Other

0

7.

Dennis Kucinich

0

9.

Carol Moseley Braun

0

10.

Al Sharpton

0

5.

Richard Gephardt

0

4.

John Edwards

0

3.

Howard Dean

0

8.

Joe Lieberman

0

1.

George W. Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA04

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

173

1.

Respondent said don’t know and was prompted, “Anyone come to

53

Variable Format: numeric

Notes: UNF:5:WS+cEXSB/vsjVnTCWPh1Fw==

Approve of Kerry’s Anti-War Activities

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

323

1.

Approve

1248

999.

Refused

78

2.

Disapprove

1264

Variable Format: numeric

Notes: UNF:5:PZ6MtFHRUzUivQu767Bq2w==

Kerry’s Anti-War Activities Will Affect Vote

f2529474 Location:

Value

Label

Frequency

Text

2.

Some

672

4.

Not at all

680

998.

Don’t know

11

1.

Great deal

701

3.

Not much

408

999.

Refused

6

5.

Would not vote

34

Variable Format: numeric

Notes: UNF:5:f1syl1iEoguxhqEEaGJXxA==

Kerry Earned Vietnam Medals

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Kerry’s Anti-War Statements

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Approve of Kerry’s Anti-War Statements (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disapprove

0

998.

Don’t know

0

1.

Strongly approve

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Approve of Kerry’s Anti-War Statements (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat disapprove

0

2.

Somewhat approve

0

1.

Strongly approve

0

4.

Strongly disapprove

0

5.

Neither approve nor disapprove

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched or Familiar With Swift Boat Ad

f2529474 Location:

Value

Label

Frequency

Text

2.

Heard

0

1.

Yes, seen

0

999.

Refused

0

998.

Don’t know

0

3.

Have not seen or heard

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Swift Boat Ad Believable

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat unbelievable

0

4.

Very unbelievable

0

998.

Don’t know

0

999.

Refused

0

1.

Very believable

0

2.

Somewhat believable

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Campaign Behind Swift Boat Ad

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush behind

0

999.

Refused

0

2.

No connection

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Fulfilled National Guard Obligations

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

1467

998.

Don’t know

426

999.

Refused

48

2.

No

972

Variable Format: numeric

Notes: UNF:5:EcEVcKyaUwT3RfG5TZOTMg==

Bush in National Guard Will Affect Vote

f2529474 Location:

Value

Label

Frequency

Text

4.

Not at all

954

3.

Not much

490

999.

Refused

4

2.

Some

476

5.

Would not vote

29

1.

Great deal

476

998.

Don’t know

10

Variable Format: numeric

Notes: UNF:5:9B+dXKuzPWsySwveaG807g==

Know if Bush or Kerry Is Former Prosecutor

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Neither

0

3.

Both

0

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA17

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

John Edwards

0

7.

Joe Lieberman (correct)

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

5.

John Kerry

0

4.

Richard Gephardt

0

10.

Other

0

998.

Don’t know

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

5.

John Kerry

0

999.

Refused

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

998.

Don’t know

0

1.

Wesley Clark

0

7.

Joe Lieberman (correct)

0

2.

Howard Dean

0

4.

Richard Gephardt

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

4.

Richard Gephardt

0

10.

Other

0

9.

Al Sharpton

0

998.

Don’t know

0

999.

Refused

0

6.

Dennis Kucinich

0

7.

Joe Lieberman (correct)

0

5.

John Kerry

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

10.

Other

0

2.

Howard Dean

0

998.

Don’t know

0

5.

John Kerry

0

6.

Dennis Kucinich

0

3.

John Edwards

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

999.

Refused

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

7.

Joe Lieberman (correct)

0

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA19

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was House Majority Leader, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

10.

Other

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

5.

John Kerry

0

6.

Dennis Kucinich

0

998.

Don’t know

0

999.

Refused

0

1.

Wesley Clark

0

4.

Richard Gephardt (correct)

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was House Majority Leader, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

3.

John Edwards

0

7.

Joe Lieberman

0

10.

Other

0

6.

Dennis Kucinich

0

998.

Don’t know

0

999.

Refused

0

4.

Richard Gephardt (correct)

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

9.

Al Sharpton

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was House Majority Leader, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

4.

Richard Gephardt (correct)

0

2.

Howard Dean

0

5.

John Kerry

0

7.

Joe Lieberman

0

998.

Don’t know

0

999.

Refused

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

10.

Other

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was House Majority Leader, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

999.

Refused

0

3.

John Edwards

0

6.

Dennis Kucinich

0

5.

John Kerry

0

2.

Howard Dean

0

9.

Al Sharpton

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt (correct)

0

10.

Other

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was House Majority Leader, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

2.

Howard Dean

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

3.

John Edwards

0

10.

Other

0

4.

Richard Gephardt (correct)

0

999.

Refused

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA21

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

2

999.

Refused

2

10.

Other

2

1.

Wesley Clark

0

3.

John Edwards (correct)

395

8.

Carol Moseley Braun

0

5.

John Kerry

98

4.

Richard Gephardt

3

2.

Howard Dean

18

6.

Dennis Kucinich

5

998.

Don’t know

376

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:jxDlL3B5pOf/fCbGzbGvdA==

Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Other

0

998.

Don’t know

0

999.

Refused

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

3.

John Edwards (correct)

2

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

5.

John Kerry

1

9.

Al Sharpton

0

2.

Howard Dean

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:YFhmjsyjUq/0t8+/WFeQdA==

Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

999.

Refused

0

9.

Al Sharpton

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

10.

Other

0

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

5.

John Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

10.

Other

0

2.

Howard Dean

0

998.

Don’t know

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

3.

John Edwards (correct)

0

5.

John Kerry

0

999.

Refused

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

999.

Refused

0

4.

Richard Gephardt

0

2.

Howard Dean

0

3.

John Edwards (correct)

0

9.

Al Sharpton

0

5.

John Kerry

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA23

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

514

1.

Respondent said don’t know and was prompted, “Anyone come to

387

Variable Format: numeric

Notes: UNF:5:H5DUz2H57kzrFeIohGWDBA==

Know Democratic Candidate Who Was a General, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

2.

Howard Dean

0

7.

Joe Lieberman

0

998.

Don’t know

0

6.

Dennis Kucinich

0

10.

Other

0

5.

John Kerry

0

1.

Wesley Clark (correct)

0

999.

Refused

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was a General, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Wesley Clark (correct)

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

10.

Other

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

998.

Don’t know

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was a General, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

5.

John Kerry

0

1.

Wesley Clark (correct)

0

998.

Don’t know

0

4.

Richard Gephardt

0

2.

Howard Dean

0

999.

Refused

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was a General, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

10.

Other

0

1.

Wesley Clark (correct)

0

5.

John Kerry

0

998.

Don’t know

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

2.

Howard Dean

0

3.

John Edwards

0

999.

Refused

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was a General, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

999.

Refused

0

2.

Howard Dean

0

3.

John Edwards

0

4.

Richard Gephardt

0

5.

John Kerry

0

6.

Dennis Kucinich

0

1.

Wesley Clark (correct)

0

10.

Other

0

9.

Al Sharpton

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA25

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was Governor of Vermont, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

21

9.

Al Sharpton

0

1.

Wesley Clark

0

5.

John Kerry

8

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

10.

Other

0

999.

Refused

0

2.

Howard Dean (correct)

38

3.

John Edwards

3

Variable Format: numeric

Notes: UNF:5:FOAQFdTYlzF/ow6br5k+fQ==

Know Democratic Candidate Who Was Governor of Vermont, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

2.

Howard Dean (correct)

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

999.

Refused

0

3.

John Edwards

0

4.

Richard Gephardt

0

998.

Don’t know

0

5.

John Kerry

0

6.

Dennis Kucinich

0

10.

Other

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was Governor of Vermont, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

999.

Refused

0

3.

John Edwards

0

9.

Al Sharpton

0

5.

John Kerry

0

4.

Richard Gephardt

0

998.

Don’t know

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

2.

Howard Dean (correct)

0

10.

Other

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was Governor of Vermont, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

John Edwards

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

2.

Howard Dean (correct)

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

10.

Other

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was Governor of Vermont, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

9.

Al Sharpton

0

10.

Other

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

998.

Don’t know

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

5.

John Kerry

0

4.

Richard Gephardt

0

2.

Howard Dean (correct)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA27

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

21

0.

Respondent answered without prompting

49

Variable Format: numeric

Notes: UNF:5:JMQOtCqMa9ivo3g2Odaayw==

Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

3

1.

Wesley Clark

1

998.

Don’t know

353

6.

Dennis Kucinich

6

8.

Carol Moseley Braun

0

4.

Richard Gephardt

2

5.

John Kerry

115

999.

Refused

1

3.

John Edwards (correct)

399

10.

Other

5

7.

Joe Lieberman

3

2.

Howard Dean

13

Variable Format: numeric

Notes: UNF:5:vCN3JNvdKcMqi45tqTH6/Q==

Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry

3

3.

John Edwards (correct)

3

2.

Howard Dean

2

4.

Richard Gephardt

1

10.

Other

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

999.

Refused

0

6.

Dennis Kucinich

0

998.

Don’t know

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:bNIwqjnzeMi1UgT1v2bcqg==

Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

John Edwards (correct)

0

9.

Al Sharpton

0

1.

Wesley Clark

0

10.

Other

0

5.

John Kerry

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

1

2.

Howard Dean

1

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:3ywxoAt6uaOp77WoRddRzg==

Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

2.

Howard Dean

0

5.

John Kerry

0

999.

Refused

0

3.

John Edwards (correct)

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

999.

Refused

0

2.

Howard Dean

0

10.

Other

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cDA29

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

365

0.

Respondent answered without prompting

536

Variable Format: numeric

Notes: UNF:5:Y6wCrFfsxyqo+xghVfwYLQ==

Watched Network News in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

9

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:xodVrgI8RZpQEXmFEZEgEQ==

Network News Channel Watched Most

f2529474 Location:

Value

Label

Frequency

Text

1.

abc

571

4.

pbs

115

999.

Refused

7

2.

cbs

418

3.

nbc

569

998.

Don’t know

150

Variable Format: numeric

Notes: UNF:5:PnWRgm//nPCbIjkzy5gShA==

Watched Cable News in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:9GJpThe+jNUfBpHQKZbYqg==

Cable News Channel Watched Most

f2529474 Location:

Value

Label

Frequency

Text

3.

msnbc

243

998.

Don’t know

15

5.

Other

37

2.

cnn

918

999.

Refused

0

4.

All three equally

96

1.

fox

576

Variable Format: numeric

Notes: UNF:5:ISvIz6wjSdAeYEpdvnrxQQ==

Cable News Channel Watched Most, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:vr/5gp6iGWOMAHC24oEoZQ==

Attention to Political News on Network or Cable TV in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

4

1.

Great deal

595

3.

Not much

495

4.

None

201

999.

Refused

6

2.

Some

1137

Variable Format: numeric

Notes: UNF:5:2Pqkk9vmA0hTeLG7A+h9Aw==

Watched Local News in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

3

Variable Format: numeric

Notes: UNF:5:JJuUvSbwY8UKBVVjV+KRgA==

Attention to Political News on Local TV in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

7

3.

Not much

618

2.

Some

1031

1.

Great deal

356

4.

None

321

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:2mGwinHyimWsOha9Osvr2g==

Watched Spanish News in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:fJuaJtrFrSn47DWhmJkTpA==

Watched BET News in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Read Newspaper in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

4

Variable Format: numeric

Notes: UNF:5:V/2/RzFhUbul8dBCmw9ymg==

Newspaper Read Most

f2529474 Location:

Value

Label

Frequency

Text

19.

New York Post

11

33.

Wall Street Journal

38

998.

Don’t know

49

8.

Concord Monitor

2

24.

Oregonian

21

26.

Rocky Mountain News

2

3.

Baltimore Sun

12

32.

USA Today

66

7.

Cleveland Plain Dealer

4

17.

Minneapolis Star Tribune

13

23.

Orange County Register

12

13.

Houston Chronicle

21

29.

San Jose Mercury News

7

16.

Miami Herald

7

2.

Atlanta Constitution

23

28.

San Francisco Chronicle

26

30.

St. Louis Post-Dispatch

13

9.

Dallas Morning News

27

10.

Denver Post

9

14.

Los Angeles Times

29

4.

Boston Globe

16

22.

Newsday

17

31.

St. Petersburg Times

12

999.

Refused

10

5.

Chicago Sun-Times

18

6.

Chicago Tribune

23

35.

Other

1513

25.

Philadelphia Inquirer

20

27.

San Diego Union-Tribune

9

1.

Arizona Republic

22

18.

New York Daily News

7

11.

Des Moines Register

5

15.

Manchester Union-Leader

1

34.

Washington Post

41

20.

New York Times

108

12.

Detroit Free Press

11

21.

Newark Star-Ledger

6

Variable Format: numeric

Notes: UNF:5:0je8SvkbVokryhjWIs8j5w==

Newspaper Read Most, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:dbfSVU6p57x1afOkFZ2Bjg==

Read Wall Street Journal Editorial Page

f2529474 Location:

Value

Label

Frequency

Text

4.

Never

4

2.

Occasionally

11

1.

Regularly

18

998.

Don’t know

0

999.

Refused

0

3.

Rarely

5

Variable Format: numeric

Notes: UNF:5:ZHvQN2gdDyqO3aCIpQICKw==

Attention to Political News in Newspaper in Past Week

f2529474 Location:

Value

Label

Frequency

Text

3.

Not much

497

1.

Great deal

455

4.

None

334

998.

Don’t know

2

999.

Refused

6

2.

Some

937

Variable Format: numeric

Notes: UNF:5:6YOgzmPUL+agM21iohCAFA==

Listened to NPR in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

14

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:9cBVaRPD1yeCf39cIuktlg==

Listened to Talk Radio Other Than NPR in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:3JK5lNc+rsB+vX7FxXlTKQ==

Talk Radio Programs Listened to in Past Week, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

3.

Jim Bohannon

0

14.

Tom Leykis

2

5.

Dr. Joy Browne

0

28.

Other

416

2.

Art Bell

4

27.

Bruce Williams

0

8.

Don and Mike

1

15.

G. Gordon Liddy

3

12.

John and Ken

2

21.

Michael Savage

21

19.

Bill O’Reilly

24

17.

“Morning Edition” with Bob Edwards

11

22.

Tavis Smiley

5

1.

“All Things Considered”

25

11.

Don Imus

10

25.

“Talk of the Nation”

9

16.

Rush Limbaugh

192

13.

Tom Joyner

12

20.

Diane Rehm

9

6.

Howie Carr

1

7.

Ken and Daria Dolan

0

9.

Dr. Dean Edell

1

998.

Don’t know

245

4.

Bob Brinker

2

18.

NPR (unspecified)

319

26.

Armstrong Williams

0

999.

Refused

16

10.

Sean Hannity

53

23.

Doug Stephan

1

24.

Howard Stern

29

Variable Format: numeric

Notes: UNF:5:gXHfewEvMB3mQ4NZRq8LJg==

Talk Radio Programs Listened to in Past Week, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

16.

Rush Limbaugh

36

4.

Bob Brinker

0

20.

Diane Rehm

2

7.

Ken and Daria Dolan

0

24.

Howard Stern

3

8.

Don and Mike

0

9.

Dr. Dean Edell

0

13.

Tom Joyner

1

1.

“All Things Considered”

7

10.

Sean Hannity

51

18.

NPR (unspecified)

14

27.

Bruce Williams

3

25.

“Talk of the Nation”

6

28.

Other

92

15.

G. Gordon Liddy

2

999.

Refused

0

5.

Dr. Joy Browne

1

19.

Bill O’Reilly

14

11.

Don Imus

3

3.

Jim Bohannon

0

998.

Don’t know

0

14.

Tom Leykis

0

21.

Michael Savage

9

22.

Tavis Smiley

2

17.

“Morning Edition” with Bob Edwards

5

12.

John and Ken

0

26.

Armstrong Williams

2

2.

Art Bell

1

6.

Howie Carr

2

23.

Doug Stephan

1

Variable Format: numeric

Notes: UNF:5:paZWnlB5WGT8fFH0YGZ6mA==

Talk Radio Programs Listened to in Past Week, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

21.

Michael Savage

12

9.

Dr. Dean Edell

1

3.

Jim Bohannon

0

5.

Dr. Joy Browne

0

12.

John and Ken

0

23.

Doug Stephan

0

4.

Bob Brinker

2

28.

Other

33

1.

“All Things Considered”

3

14.

Tom Leykis

0

27.

Bruce Williams

0

6.

Howie Carr

0

26.

Armstrong Williams

0

20.

Diane Rehm

1

13.

Tom Joyner

0

11.

Don Imus

0

18.

NPR (unspecified)

4

15.

G. Gordon Liddy

1

8.

Don and Mike

0

19.

Bill O’Reilly

6

22.

Tavis Smiley

0

998.

Don’t know

0

17.

“Morning Edition” with Bob Edwards

1

10.

Sean Hannity

4

7.

Ken and Daria Dolan

0

2.

Art Bell

0

24.

Howard Stern

1

16.

Rush Limbaugh

1

25.

“Talk of the Nation”

1

Variable Format: numeric

Notes: UNF:5:ldjcqG9JbLLt2CsA8aLGpQ==

Talk Radio Programs Listened to in Past Week, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Art Bell

0

18.

NPR (unspecified)

0

11.

Don Imus

0

26.

Armstrong Williams

0

27.

Bruce Williams

0

24.

Howard Stern

1

25.

“Talk of the Nation”

0

23.

Doug Stephan

0

1.

“All Things Considered”

0

14.

Tom Leykis

0

16.

Rush Limbaugh

1

21.

Michael Savage

0

22.

Tavis Smiley

1

7.

Ken and Daria Dolan

0

3.

Jim Bohannon

0

998.

Don’t know

0

4.

Bob Brinker

0

17.

“Morning Edition” with Bob Edwards

1

15.

G. Gordon Liddy

0

19.

Bill O’Reilly

2

8.

Don and Mike

0

13.

Tom Joyner

0

5.

Dr. Joy Browne

0

999.

Refused

0

10.

Sean Hannity

0

12.

John and Ken

0

28.

Other

6

20.

Diane Rehm

0

6.

Howie Carr

0

9.

Dr. Dean Edell

0

Variable Format: numeric

Notes: UNF:5:zOx13eQbULv2U8K9MG/DfQ==

Talk Radio Programs Listened to in Past Week, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

5.

Dr. Joy Browne

0

9.

Dr. Dean Edell

0

15.

G. Gordon Liddy

0

8.

Don and Mike

0

23.

Doug Stephan

0

25.

“Talk of the Nation”

0

3.

Jim Bohannon

0

24.

Howard Stern

0

19.

Bill O’Reilly

1

21.

Michael Savage

0

7.

Ken and Daria Dolan

0

22.

Tavis Smiley

0

1.

“All Things Considered”

0

18.

NPR (unspecified)

0

13.

Tom Joyner

0

26.

Armstrong Williams

0

28.

Other

2

11.

Don Imus

0

20.

Diane Rehm

0

2.

Art Bell

0

14.

Tom Leykis

0

17.

“Morning Edition” with Bob Edwards

0

16.

Rush Limbaugh

0

4.

Bob Brinker

0

12.

John and Ken

0

6.

Howie Carr

0

999.

Refused

0

10.

Sean Hannity

0

998.

Don’t know

0

27.

Bruce Williams

0

Variable Format: numeric

Notes: UNF:5:n65IsBvxxAJljD/AV8EgaA==

Talk Radio Programs Listened to in Past Week, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:ojP2iVJAfnRTkEB/VqG3Dg==

Talk Radio Program Listen to Most

f2529474 Location:

Value

Label

Frequency

Text

16.

Rush Limbaugh

66

10.

Sean Hannity

28

14.

Tom Leykis

0

24.

Howard Stern

4

4.

Bob Brinker

0

13.

Tom Joyner

5

18.

NPR (unspecified)

27

6.

Howie Carr

0

2.

Art Bell

0

22.

Tavis Smiley

1

998.

Don’t know

16

8.

Don and Mike

0

25.

“Talk of the Nation”

4

12.

John and Ken

0

20.

Diane Rehm

1

11.

Don Imus

1

27.

Bruce Williams

0

5.

Dr. Joy Browne

1

26.

Armstrong Williams

0

7.

Ken and Daria Dolan

0

19.

Bill O’Reilly

7

9.

Dr. Dean Edell

0

21.

Michael Savage

14

23.

Doug Stephan

1

999.

Refused

5

28.

Other

62

15.

G. Gordon Liddy

1

17.

“Morning Edition” with Bob Edwards

4

1.

“All Things Considered”

9

3.

Jim Bohannon

0

Variable Format: numeric

Notes: UNF:5:Q7GZD9ugwVgqEPFapb1JJg==

Talk Radio Program Listen to Most, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:4ImibUIdzF8uMM7UbluJ8g==

Watched Late-Night Comedy in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:gzEr/P9dygLT277EdKWlzg==

Late-Night Comedy Program Watched Most (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

14

2.

Leno

355

4.

Other

52

1.

Letterman

345

3.

Stewart

100

Variable Format: numeric

Notes: UNF:5:roK/73eMwxNxu18ya8QTEw==

Late-Night Comedy Program Watched Most (Wording #1), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:7J1KFTDFYnRIo9a/nS6i2g==

Late-Night Comedy Program Watched Most (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Leno

0

5.

Other

0

4.

O’Brien

0

3.

Stewart

0

1.

Letterman

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Late-Night Comedy Program Watched Most (Wording #2), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Have Online Access

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

4

1.

Yes

2212

2.

No

696

Variable Format: numeric

Notes: UNF:5:QEz8p/UsVSmpraW6HTfFiw==

Accessed Political Information Online in Past Week (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

3

Variable Format: numeric

Notes: UNF:5:AVcYNFrU2ZIWByvEenHzAQ==

Accessed Political Information Online in Past Week (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:0BQ1ATRRvHu9pjNn1ix3qg==

Source of Online Political Information in Past Week, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

1.

Candidate’s

54

3.

Other

117

998.

Don’t know

23

2.

News organization’s

351

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:jNxX18RV5hehAnnet7pcOA==

Source of Online Political Information in Past Week, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

Other

10

2.

News organization’s

15

1.

Candidate’s

5

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:66XlHNuMeDpA6gWzX1VxmA==

Source of Online Political Information in Past Week, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

2.

News organization’s

1

998.

Don’t know

0

3.

Other

0

999.

Refused

0

1.

Candidate’s

0

Variable Format: numeric

Notes: UNF:5:W3GBGP2YSg8MrwqRsd6cVA==

Source of Online Political Information in Past Week, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:okTDAgF9XLbAXgb5a02qoA==

Media Have Decided Democratic Frontrunner

f2529474 Location:

Value

Label

Frequency

Text

2.

Wide-open

0

1.

Frontrunner

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Democratic Candidate Who Media Think Is Frontrunner

f2529474 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

3.

John Edwards

0

7.

Joe Lieberman

0

999.

Refused

0

1.

Wesley Clark

0

10.

Other

0

2.

Howard Dean

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Online

0

999.

Refused

0

2.

Radio

0

5.

Other

0

3.

Newspaper

0

1.

Television

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

6.

Did not get results on Election Day

0

1.

Television

0

5.

Other

0

999.

Refused

0

3.

Newspaper

0

2.

Radio

0

4.

Online

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

1.

Television

0

4.

Online

0

3.

Newspaper

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

5.

Other

0

2.

Radio

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Radio

0

999.

Refused

0

1.

Television

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

3.

Newspaper

0

4.

Online

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Online

0

999.

Refused

0

3.

Newspaper

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

5.

Other

0

2.

Radio

0

1.

Television

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Source of Information About General Election Results, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for General Election Coverage

f2529474 Location:

Value

Label

Frequency

Text

4.

cnn

0

2.

cbs

0

9.

Other

0

6.

msnbc

0

5.

fox

0

998.

Don’t know

0

7.

pbs

0

8.

C-SPAN

0

10.

Did not watch or listen

0

1.

Yes, ABC

0

3.

nbc

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Sept. 30 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

3.

Some

0

999.

Refused

0

1.

Yes, all

0

2.

Most

0

998.

Don’t know

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Sept. 30 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

5.

fox

0

7.

pbs

0

9.

Other

0

6.

msnbc

0

8.

C-SPAN

0

998.

Don’t know

0

3.

nbc

0

999.

Refused

0

1.

abc

0

2.

cbs

0

4.

cnn

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)

f2529474 Location:

Value

Label

Frequency

Text

4.

Neither did well

0

3.

Both did the same

0

998.

Don’t know

0

2.

Kerry

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Did Better Than Expected in Sept. 30 Debate

f2529474 Location:

Value

Label

Frequency

Text

1.

Better

0

998.

Don’t know

0

3.

As expected

0

999.

Refused

0

2.

Less well

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Did Better Than Expected in Sept. 30 Debate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Better

0

2.

Less well

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

4.

Neither did well

0

998.

Don’t know

0

2.

Kerry

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Oct. 8 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Did not watch

0

998.

Don’t know

0

2.

Most

0

1.

Yes, all

0

3.

Some

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Oct. 8 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

3.

nbc

0

7.

pbs

0

999.

Refused

0

1.

abc

0

4.

cnn

0

5.

fox

0

2.

cbs

0

998.

Don’t know

0

8.

C-SPAN

0

9.

Other

0

6.

msnbc

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)

f2529474 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

4.

Neither did well

0

999.

Refused

0

998.

Don’t know

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Did Better Than Expected in Oct. 8 Debate

f2529474 Location:

Value

Label

Frequency

Text

1.

Better

0

998.

Don’t know

0

999.

Refused

0

2.

Less well

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Did Better Than Expected in Oct. 8 Debate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Less well

0

1.

Better

0

998.

Don’t know

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

4.

Neither did well

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Oct. 13 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

3.

Some

0

1.

Yes, all

0

2.

Most

0

998.

Don’t know

0

999.

Refused

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Oct. 13 Bush-Kerry Debate

f2529474 Location:

Value

Label

Frequency

Text

2.

cbs

0

4.

cnn

0

7.

pbs

0

998.

Don’t know

0

5.

fox

0

8.

C-SPAN

0

3.

nbc

0

1.

abc

0

999.

Refused

0

9.

Other

0

6.

msnbc

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

3.

Both did the same

0

1.

Bush

0

999.

Refused

0

4.

Neither did well

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Did Better Than Expected in Oct. 13 Debate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Better

0

998.

Don’t know

0

2.

Less well

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Did Better Than Expected in Oct. 13 Debate

f2529474 Location:

Value

Label

Frequency

Text

1.

Better

0

998.

Don’t know

0

999.

Refused

0

2.

Less well

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry

0

1.

Bush

0

3.

Both did the same

0

998.

Don’t know

0

4.

Neither did well

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Appropriate

0

998.

Don’t know

0

2.

Inappropriate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Cheney-Edwards Debate

f2529474 Location:

Value

Label

Frequency

Text

2.

Most

0

998.

Don’t know

0

4.

Did not watch

0

3.

Some

0

1.

Yes, all

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Cheney-Edwards Debate

f2529474 Location:

Value

Label

Frequency

Text

7.

pbs

0

2.

cbs

0

999.

Refused

0

5.

fox

0

4.

cnn

0

3.

nbc

0

1.

abc

0

9.

Other

0

8.

C-SPAN

0

6.

msnbc

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

TV Channel Watched for Cheney-Edwards Debate, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cheney or Edwards Did Best in Debate (Watched Debate)

f2529474 Location:

Value

Label

Frequency

Text

1.

Cheney

0

3.

Both did the same

0

998.

Don’t know

0

2.

Edwards

0

4.

Neither did well

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cheney Did Better Than Expected in Debate

f2529474 Location:

Value

Label

Frequency

Text

3.

As expected

0

999.

Refused

0

2.

Less well

0

998.

Don’t know

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Edwards Did Better Than Expected in Debate

f2529474 Location:

Value

Label

Frequency

Text

2.

Less well

0

999.

Refused

0

3.

As expected

0

998.

Don’t know

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Cheney-Edwards Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cheney or Edwards Did Best in Debate (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Cheney

0

3.

Both did the same

0

4.

Neither did well

0

2.

Edwards

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Any General Election Debates

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know When Democratic Convention Held

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Soon

0

2.

Already (correct 7/30/04 and after)

0

1.

Now (correct 7/26/04–7/29/04)

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Clinton’s Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Half hour

0

5.

Did not see or hear

0

998.

Don’t know

0

3.

One hour

0

4.

Entire speech

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Edwards’ Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

2.

20 minutes

0

1.

Yes, few minutes

0

3.

Entire speech

0

999.

Refused

0

4.

Did not see or hear

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Kerry’s Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Half hour

0

5.

Did not see or hear

0

4.

Entire speech

0

999.

Refused

0

1.

Yes, few minutes

0

3.

One hour

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Coverage of Democratic Convention

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know When Republican Convention Held

f2529474 Location:

Value

Label

Frequency

Text

2.

Already (correct 9/3/04 and after)

0

999.

Refused

0

3.

Soon

0

998.

Don’t know

0

1.

Now (correct 8/30/04–9/2/04)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Zell Miller’s Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

4.

Did not see or hear

0

2.

10 minutes

0

999.

Refused

0

3.

Entire speech

0

998.

Don’t know

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Cheney’s Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

3.

Entire speech

0

2.

20 minutes

0

999.

Refused

0

998.

Don’t know

0

4.

Did not see or hear

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Bush’s Convention Speech

f2529474 Location:

Value

Label

Frequency

Text

3.

One hour

0

2.

Half hour

0

998.

Don’t know

0

999.

Refused

0

4.

Entire speech

0

5.

Did not see or hear

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Coverage of Republican Convention

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Convention That Was More Accurate in Describing Other

f2529474 Location:

Value

Label

Frequency

Text

3.

Both equally accurate

0

2.

Republican

0

1.

Democratic

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Campaign Ads in Past Week

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Typically Watch Political Ads

f2529474 Location:

Value

Label

Frequency

Text

2.

Turn the channel

0

4.

Ignore

0

998.

Don’t know

0

1.

Watch

0

999.

Refused

0

3.

Fast forward

0

5.

Do not watch TV

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Bush Campaign Ads

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Heard or read

0

998.

Don’t know

0

3.

Have not seen, heard, or read

0

1.

Yes, seen

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Appropriate for Bush Ads to Show 9/11 Damage

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat inappropriate

0

998.

Don’t know

0

2.

Somewhat appropriate

0

999.

Refused

0

4.

Very inappropriate

0

1.

Very appropriate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Appropriate for Bush Ads to Show 9/11 Firefighters

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Very appropriate

0

4.

Very inappropriate

0

999.

Refused

0

3.

Somewhat inappropriate

0

2.

Somewhat appropriate

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Campaign Ads Recently

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Bush or Kerry Campaign Ads Recently

f2529474 Location:

Value

Label

Frequency

Text

4.

Other

0

998.

Don’t know

0

3.

Both

0

2.

Kerry

0

999.

Refused

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learning Anything New and True From Campaign Ads

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learning Anything New From Campaign Ads

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Campaign Ads Affected Vote

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

3.

Makes no difference

0

998.

Don’t know

0

2.

Kerry

0

999.

Refused

0

4.

More likely to vote for someone else

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Contacted by Democratic Campaign in Person or by Phone

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Contacted by Democratic Campaign in Person

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

38

998.

Don’t know

0

999.

Refused

1

2.

No

882

Variable Format: numeric

Notes: UNF:5:H5/bLqWk7jxS3eUAZcwQBw==

Contacted by Democratic Campaign by Phone

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

59

999.

Refused

1

2.

No

859

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:AIsKGAViJsYEVr31l+G54w==

Contacted by Democratic Campaign by Live or Recorded Phone Call

f2529474 Location:

Value

Label

Frequency

Text

2.

Recorded

26

3.

Some callers were live; others were recorded

9

1.

Live

19

999.

Refused

0

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:rv7H+71vxN1NpPCQf+7CIw==

Number of Phone Calls From Democratic Campaign

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:50YCnw6SW6sdcAw7ZIZLaQ==

Contacted About Election by Group Other Than Democratic Campaign

f2529474 Location:

Value

Label

Frequency

Text

2.

No

850

1.

Yes

67

998.

Don’t know

2

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:dGytDzoajsGcXTs0ljbQzQ==

Reminded to Vote, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Individual

0

4.

No

0

1.

Yes, party

0

999.

Refused

0

3.

Other group

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reminded to Vote, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

4.

No

0

998.

Don’t know

0

3.

Other group

0

999.

Refused

0

1.

Yes, party

0

2.

Individual

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reminded to Vote, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, party

0

2.

Individual

0

999.

Refused

0

3.

Other group

0

998.

Don’t know

0

4.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reminded to Vote by Republicans or Democrats

f2529474 Location:

Value

Label

Frequency

Text

1.

Republicans

0

3.

Other

0

2.

Democrats

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reminded to Vote by Republicans or Democrats, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Reminded to Vote by Advocate for Candidate

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot, 1 of 4

f2529474 Location:

Value

Label

Frequency

Text

3.

Individual

0

5.

No

0

1.

Yes, party

0

2.

Government office

0

998.

Don’t know

0

4.

Other group

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot, 2 of 4

f2529474 Location:

Value

Label

Frequency

Text

3.

Individual

0

4.

Other group

0

2.

Government office

0

5.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes, party

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot, 3 of 4

f2529474 Location:

Value

Label

Frequency

Text

2.

Government office

0

998.

Don’t know

0

4.

Other group

0

999.

Refused

0

1.

Yes, party

0

5.

No

0

3.

Individual

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot, 4 of 4

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Government office

0

1.

Yes, party

0

999.

Refused

0

5.

No

0

4.

Other group

0

3.

Individual

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot by Republicans or Democrats

f2529474 Location:

Value

Label

Frequency

Text

3.

Other

0

999.

Refused

0

2.

Democrats

0

998.

Don’t know

0

1.

Republicans

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Offered Help to Get Early Ballot by Advocate for Candidate

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Received Campaign Brochures

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

2.

No

763

1.

Yes

149

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:nBe0hr7ax0VIdqmCW2ATtQ==

Received Campaign Brochures by Mail

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

None

11

1.

All

101

2.

Some

35

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:lflUKeGcyE/R57/qnv4T1Q==

Received Campaign Emails

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

75

998.

Don’t know

10

2.

No

835

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:yAcyhx8K4DB9A2pYQqxxnw==

Received Republican Email Link to Video About Kerry

f2529474 Location:

Value

Label

Frequency

Text

2.

No

578

999.

Refused

4

1.

Yes

9

998.

Don’t know

24

Variable Format: numeric

Notes: UNF:5:FJUc+Z2PTMpsbynWTCu3aA==

Watched Republican Video on Kerry

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

3

998.

Don’t know

0

2.

No

6

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:7eoBUvuGq/XgEVlRHugOcg==

Republican Video Changed Opinion of Kerry

f2529474 Location:

Value

Label

Frequency

Text

1.

More

2

999.

Refused

0

2.

Less

0

998.

Don’t know

0

3.

Did not change

1

Variable Format: numeric

Notes: UNF:5:G2+GxBnmcDcW/NEWLsvk8Q==

Heard or Read About 2004 State of the Union

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Bush on “Meet the Press”

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Most

0

3.

Some

0

4.

Did not watch

0

1.

Yes, all

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Bush on “Meet the Press” (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

“Meet the Press” Changed Opinion of Bush

f2529474 Location:

Value

Label

Frequency

Text

1.

More

0

998.

Don’t know

0

999.

Refused

0

3.

Did not change

0

2.

Less

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched 9/11 Commission Hearings

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

{3/24/04–3/25/04: Have not been watching | 3/26/04–3/29/04,

0

3.

Both live or tape and news coverage

0

2.

News coverage

0

1.

Yes, live or tape

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With 9/11 Commission Hearings (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Rice’s Testimony to 9/11 Commission

f2529474 Location:

Value

Label

Frequency

Text

2.

News coverage

0

998.

Don’t know

0

999.

Refused

0

3.

Both live or tape and news coverage

0

1.

Yes, live or tape

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Familiar With Richard Clarke’s Book

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Believe Clarke’s Charges

f2529474 Location:

Value

Label

Frequency

Text

1.

Very

0

4.

Not at all

0

2.

Somewhat

0

3.

Not too

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched Reagan Funeral

f2529474 Location:

Value

Label

Frequency

Text

4.

Did not watch

0

3.

Not much

0

2.

Some

0

999.

Refused

0

998.

Don’t know

0

1.

Yes, all

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched “Fahrenheit 911”

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

“Fahrenheit 911” Changed Opinion of Bush

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Great deal worse

0

5.

Great deal better

0

4.

Somewhat better

0

2.

Somewhat worse

0

998.

Don’t know

0

3.

Same

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Watch “Fahrenheit 911”

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Watched “The Day After Tomorrow”

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Candidates Criticizing Opponents

f2529474 Location:

Value

Label

Frequency

Text

2.

Some

474

3.

Not much

176

1.

Great deal

622

999.

Refused

8

998.

Don’t know

82

4.

Not doing this

14

5.

Depends on the candidate

8

Variable Format: numeric

Notes: UNF:5:IfAfjpI/PyJgDPz1yyCBQA==

Candidates Talking About What Would Do if Elected

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

8

5.

Depends on the candidate

9

1.

Great deal

484

4.

Not doing this

65

2.

Some

522

998.

Don’t know

81

3.

Not much

215

Variable Format: numeric

Notes: UNF:5:7tVaCTrSFxg+dHCfPq72BQ==

Candidates Talking About Solving Problems

f2529474 Location:

Value

Label

Frequency

Text

2.

Some

536

3.

Not much

209

998.

Don’t know

85

5.

Depends on the candidate

6

999.

Refused

9

1.

Great deal

491

4.

Not doing this

48

Variable Format: numeric

Notes: UNF:5:5/21x6HqvUk+bJELFoTbcQ==

Bush Criticizing Opponent

f2529474 Location:

Value

Label

Frequency

Text

3.

Not much

0

4.

Not doing this

0

998.

Don’t know

0

1.

Great deal

0

999.

Refused

0

2.

Some

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Criticizing Opponent

f2529474 Location:

Value

Label

Frequency

Text

1.

Great deal

0

3.

Not much

0

4.

Not doing this

0

998.

Don’t know

0

999.

Refused

0

2.

Some

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Talking About Solving Problems

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Great deal

0

2.

Some

0

3.

Not much

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Talking About Solving Problems

f2529474 Location:

Value

Label

Frequency

Text

2.

Some

0

3.

Not much

0

999.

Refused

0

998.

Don’t know

0

1.

Great deal

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Criticizing Opponent or Talking About Solving Problems

f2529474 Location:

Value

Label

Frequency

Text

2.

Talking about solving problems

0

999.

Refused

0

998.

Don’t know

0

1.

Criticizing opponent

0

3.

Doing both equally

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Kerry Criticizing Opponent or Talking About Solving Problems

f2529474 Location:

Value

Label

Frequency

Text

1.

Criticizing opponent

0

999.

Refused

0

3.

Doing both equally

0

2.

Talking about solving problems

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Honesty of Bush Campaign

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Honesty of Kerry Campaign

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learned Enough About Democratic Candidates and Issues So Far

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

22

2.

Difficult to choose

941

1.

Learned enough

436

998.

Don’t know

32

Variable Format: numeric

Notes: UNF:5:DlusZK+x5tfL5ir1+Hwxxw==

Learned Enough About Candidates and Issues Before Primary

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

1.

Learned enough

175

2.

Difficult to choose

84

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:/s8RU9zJTA7gTOh3NnjAeg==

Learned Enough About Bush So Far

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learned Enough About Kerry So Far

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learned Enough About Candidates and Issues So Far

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Learned enough

0

999.

Refused

0

2.

Difficult to choose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Learned Enough About Candidates and Issues Before General Election

f2529474 Location:

Value

Label

Frequency

Text

1.

Learned enough

0

999.

Refused

0

2.

Difficult to choose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Follow Politics

f2529474 Location:

Value

Label

Frequency

Text

1.

Most times

1180

4.

Hardly at all

194

999.

Refused

3

2.

Sometime

1053

3.

Now and then

477

998.

Don’t know

6

Variable Format: numeric

Notes: UNF:5:MhV/EA6tM1/jST/jrk6RAw==

Following Democratic Campaign

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

4

1.

Very

633

4.

Not at all

333

998.

Don’t know

12

2.

Somewhat

1357

3.

Not too

574

Variable Format: numeric

Notes: UNF:5:bGlCDG3NmQeIf+TWq/6Haw==

Thought About Primary

f2529474 Location:

Value

Label

Frequency

Text

2.

Little

0

999.

Refused

0

1.

A lot

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Following Campaign

f2529474 Location:

Value

Label

Frequency

Text

3.

Not too

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat

0

4.

Not at all

0

1.

Very

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Interested in Campaign

f2529474 Location:

Value

Label

Frequency

Text

3.

Not much

0

1.

Very

0

999.

Refused

0

2.

Somewhat

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Discussed Politics With Family or Friends in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:mo0LCLB2XlRrGF3I4LLbxA==

Type of Politics Discussed With Family or Friends in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

3.

Local

214

999.

Refused

2

2.

State

117

5.

International

9

1.

National

1321

4.

Mix of national, state, and local

477

Variable Format: numeric

Notes: UNF:5:O1onxRxjgucyl0ugoOuDwA==

Discussed Politics at Work in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

4

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:JrR98kjTDYMAmHzI3Q/cPQ==

Type of Politics Discussed at Work in Past Week

f2529474 Location:

Value

Label

Frequency

Text

4.

Mix of national, state, and local

246

1.

National

756

998.

Don’t know

4

999.

Refused

0

3.

Local

145

2.

State

105

5.

International

3

Variable Format: numeric

Notes: UNF:5:aKSnxFdH6ZbAs/hvRKrA2g==

Discussed Politics Online in Past Week

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:wRQHlkriRJn2hNqVUpWZog==

Type of Politics Discussed Online in Past Week

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

National

180

3.

Local

10

5.

International

1

2.

State

13

998.

Don’t know

1

4.

Mix of national, state, and local

28

Variable Format: numeric

Notes: UNF:5:aQdcfdqKS/Z1mpLxPAUz3w==

Intend to Participate in Campaign

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

3.

Not very

0

1.

Very

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Tried to Influence Others’ Voting

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

237

2.

No

683

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:B4cZYLAhAymfYGMcO0t8yg==

Attended Political Meetings

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

47

2.

No

872

998.

Don’t know

1

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:qiorwNL9fPWGhwWaTNglig==

Did Other Work for Candidate

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

0

1.

Yes

11

2.

No

909

Variable Format: numeric

Notes: UNF:5:ZakKoI0Yy+WphEVbxql9Mg==

Donated Money to Candidate

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

1

2.

No

863

1.

Yes

55

Variable Format: numeric

Notes: UNF:5:eqwnuoG+5w6RDqazq14xeg==

Method of Donating Money to Candidate, 1 of 4

f2529474 Location:

Value

Label

Frequency

Text

2.

Internet

4

999.

Refused

0

3.

In person

8

4.

Other

6

1.

Mail

36

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:xnORe+LD9G8RIg/tnFh4jw==

Method of Donating Money to Candidate, 2 of 4

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Other

1

2.

Internet

1

1.

Mail

1

998.

Don’t know

0

3.

In person

1

Variable Format: numeric

Notes: UNF:5:USPAzpJGsB7Ksko56z51Dw==

Method of Donating Money to Candidate, 3 of 4

f2529474 Location:

Value

Label

Frequency

Text

1.

Mail

0

2.

Internet

0

998.

Don’t know

0

3.

In person

1

999.

Refused

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:prNXuJs07q3Mb76KXIg9Fw==

Method of Donating Money to Candidate, 4 of 4

f2529474 Location:

Value

Label

Frequency

Text

1.

Mail

0

3.

In person

0

2.

Internet

0

999.

Refused

0

998.

Don’t know

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Method of Donating Money to Candidate, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:en9Fg1zcM89vhZcboJqzJg==

Wore Campaign Button or Displayed Sign

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

40

999.

Refused

1

2.

No

880

Variable Format: numeric

Notes: UNF:5:es7qigmdz/L6HOht3rFIbg==

Party ID

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

83

2.

Democrat

982

4.

Something else

199

999.

Refused

34

3.

Independent

780

1.

Republican

835

Variable Format: numeric

Notes: UNF:5:IGWXfhg7gFc7Hr6jHdcCRQ==

Party ID, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:0T3HrzfhIZUGfpJEXSb4YA==

Strength of Party ID

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

33

1.

Strong

1573

2.

Not strong

980

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:AvNZymuhf90kXcd6v0P8Yg==

Lean Republican or Democrat

f2529474 Location:

Value

Label

Frequency

Text

2.

Democratic

427

999.

Refused

18

3.

Neither Republican nor Democrat

239

998.

Don’t know

77

1.

Republican

335

Variable Format: numeric

Notes: UNF:5:XM/ua2K3FNGIp8fXov2Nvg==

Lean Independent or Democrat

f2529474 Location:

Value

Label

Frequency

Text

2.

Democrat

49

999.

Refused

3

4.

Other

29

998.

Don’t know

16

1.

Independent

286

3.

Republican

36

Variable Format: numeric

Notes: UNF:5:kT4UdDA0Mt//w+I6bLdrdQ==

Lean Independent or Republican

f2529474 Location:

Value

Label

Frequency

Text

2.

Republican

58

1.

Independent

355

999.

Refused

4

4.

Other

16

3.

Democrat

34

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:6472aCbFj/NOf0FlGRm0Ug==

Conservative or Liberal

f2529474 Location:

Value

Label

Frequency

Text

1.

Very conservative

229

4.

Liberal

541

3.

Moderate

1074

999.

Refused

13

2.

Conservative

855

998.

Don’t know

65

5.

Very liberal

136

Variable Format: numeric

Notes: UNF:5:gOU5+aBr3B3Cp7yut4cLJA==

Conservative or Liberal on Social Issues

f2529474 Location:

Value

Label

Frequency

Text

3.

Moderate

421

998.

Don’t know

42

4.

Liberal

316

2.

Conservative

398

1.

Very conservative

179

999.

Refused

8

5.

Very liberal

116

Variable Format: numeric

Notes: UNF:5:bvINgokg7dhJ43Rv+r2l5Q==

Conservative or Liberal on Economic Issues

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

43

999.

Refused

5

4.

Liberal

204

1.

Very conservative

135

2.

Conservative

519

5.

Very liberal

36

3.

Moderate

538

Variable Format: numeric

Notes: UNF:5:Xd8ETCM46Y2/kTRs9iLRkw==

Trust Government (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

3.

Sometime

0

1.

Always

0

999.

Refused

0

998.

Don’t know

0

4.

Never (volunteered)

0

2.

Most times

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Trust Government (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

999.

Refused

7

4.

Never

65

1.

Always

19

2.

Most times

249

3.

Sometime

599

Variable Format: numeric

Notes: UNF:5:FD3HfibP200N11JyRKQ7Qg==

Trust Business Executives

f2529474 Location:

Value

Label

Frequency

Text

1.

Great deal

0

3.

Not much

0

999.

Refused

0

2.

Fair amount

0

4.

None

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Trust Elected Officials

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

4

4.

None

82

998.

Don’t know

7

3.

Not much

317

1.

Great deal

21

2.

Fair amount

308

Variable Format: numeric

Notes: UNF:5:ZHHZAN12AMNa/vSkzUoLjw==

Confidence in Executive Branch

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

4.

None

122

1.

Great deal

174

2.

Fair amount

753

998.

Don’t know

12

3.

Not much

414

Variable Format: numeric

Notes: UNF:5:b32gCW2Tuq0NLNFKKOBLSQ==

Confidence in Legislative Branch

f2529474 Location:

Value

Label

Frequency

Text

1.

Great deal

94

998.

Don’t know

16

3.

Not much

484

999.

Refused

3

4.

None

89

2.

Fair amount

794

Variable Format: numeric

Notes: UNF:5:PdPxol39vbxnKtqPECDHnQ==

Confidence in Judicial Branch

f2529474 Location:

Value

Label

Frequency

Text

4.

None

91

1.

Great deal

180

3.

Not much

397

999.

Refused

1

998.

Don’t know

15

2.

Fair amount

796

Variable Format: numeric

Notes: UNF:5:wMEKegK2Kz0KBJIgZfdrwQ==

Confidence in State Elected Officials

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

None

0

3.

Not much

0

999.

Refused

0

2.

Fair amount

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Confidence in Local Government

f2529474 Location:

Value

Label

Frequency

Text

4.

None

0

998.

Don’t know

0

2.

Fair amount

0

3.

Not much

0

999.

Refused

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Politics Too Complicated

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly agree

303

998.

Don’t know

12

4.

Strongly disagree

366

2.

Somewhat agree

493

999.

Refused

3

3.

Somewhat disagree

249

5.

Neither agree nor disagree

7

Variable Format: numeric

Notes: UNF:5:dihmeK4VpWjXzg4lny6P0g==

People Like Me Have No Say in Government

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

358

5.

Neither agree nor disagree

4

998.

Don’t know

17

999.

Refused

7

4.

Strongly disagree

435

1.

Strongly agree

261

3.

Somewhat disagree

351

Variable Format: numeric

Notes: UNF:5:ItKAuGM2bWn8Lxs4Cq9otQ==

Duty to Keep Informed About Politics

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat disagree

0

1.

Strongly agree

0

998.

Don’t know

0

4.

Strongly disagree

0

2.

Somewhat agree

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Does Not Matter if Do Not Follow Politics

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

279

5.

Neither agree nor disagree

5

1.

Strongly agree

101

2.

Somewhat agree

229

998.

Don’t know

19

4.

Strongly disagree

794

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:i1K73ngjeid6t2XbO+ufOw==

Presidents Try to Keep Promises

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

207

5.

Neither agree nor disagree

10

3.

Somewhat disagree

287

1.

Strongly agree

171

998.

Don’t know

19

999.

Refused

6

2.

Somewhat agree

733

Variable Format: numeric

Notes: UNF:5:MDBscDbI7dtbeC29SDSfow==

Candidates Try to Keep Promises

f2529474 Location:

Value

Label

Frequency

Text

4.

Rarely

0

2.

Most times

0

998.

Don’t know

0

5.

Never

0

1.

Always

0

999.

Refused

0

3.

Sometime

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Presidents Make Decisions in Nation’s Interest

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

288

1.

Strongly agree

285

999.

Refused

12

5.

Neither agree nor disagree

13

998.

Don’t know

20

4.

Strongly disagree

160

2.

Somewhat agree

655

Variable Format: numeric

Notes: UNF:5:GTl3nQ1Lx5fcQjM3u89ghQ==

Know Cheney Is Vice President

f2529474 Location:

Value

Label

Frequency

Text

1.

Vice president (correct)

1092

999.

Refused

7

2.

Other answer

61

998.

Don’t know

273

Variable Format: numeric

Notes: UNF:5:SBXvW8JjToYE0+jZ1P/Cfg==

Know Cheney Is Vice President, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:l7pMXwfhVKCdpCdfOgz+Og==

Don’t-Know Prompt for cMC01

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

297

0.

Respondent answered without prompting

1136

Variable Format: numeric

Notes: UNF:5:QQh9GqBw4QloVUf77H4v2A==

Know Supreme Court Determines Constitutionality of Laws

f2529474 Location:

Value

Label

Frequency

Text

3.

Supreme Court (correct)

967

1.

President

111

2.

Congress

300

999.

Refused

5

998.

Don’t know

50

Variable Format: numeric

Notes: UNF:5:TsvFlNwZZZTIPCUU9tTI/A==

Don’t-Know Prompt for cMC03

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

1371

1.

Respondent said don’t know and was prompted, “Anything come

62

Variable Format: numeric

Notes: UNF:5:cKh6qBiZkL0lR+env6eRkQ==

Know Two-Thirds Majority Overrides Veto

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

998.

Don’t know

452

2.

Other answer

398

1.

Two-thirds (correct)

578

Variable Format: numeric

Notes: UNF:5:CXMwv0ayoMZR5XGz7owxew==

Know Two-Thirds Majority Overrides Veto, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:FUMFgBjSauFkdN/uSrYruQ==

Don’t-Know Prompt for cMC05

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

926

1.

Respondent said don’t know and was prompted, “Anything come

507

Variable Format: numeric

Notes: UNF:5:h7zA0dW18fG9BYMnfOglsA==

Know Republicans Are Majority Party in House

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

6

1.

Democratic

174

998.

Don’t know

266

2.

Republican (correct)

987

Variable Format: numeric

Notes: UNF:5:XLXMhx85+2x3hfzGZYoZoQ==

Don’t-Know Prompt for cMC07

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

1122

1.

Respondent said don’t know and was prompted, “Anything come

311

Variable Format: numeric

Notes: UNF:5:VccR6HditG0sFz00DzLEEg==

Know Republican Party Is More Conservative

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

10

998.

Don’t know

128

1.

Democratic

299

2.

Republican (correct)

996

Variable Format: numeric

Notes: UNF:5:DFREZAk+TPS2CG2XmTzc/Q==

Don’t-Know Prompt for cMC09

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

146

0.

Respondent answered without prompting

1287

Variable Format: numeric

Notes: UNF:5:1y4I/PYkoPV2TYtZuFm3mA==

Chance Clark Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Dean Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

4

Variable Format: numeric

Notes: UNF:5:mQvv3zwLpAtKKHwczpgrOQ==

Chance Edwards Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

44

999.

Refused

12

Variable Format: numeric

Notes: UNF:5:mjFc8aY1PspJSe9iegvKxQ==

Chance Gephardt Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Kerry Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

39

999.

Refused

9

Variable Format: numeric

Notes: UNF:5:9DtLQWgi9eNqVMYwYIuVCA==

Chance Lieberman Will Win Primary

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Won Most Primaries, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

3.

John Edwards

7

998.

Don’t know

82

5.

John Kerry (correct)

420

6.

Dennis Kucinich

0

999.

Refused

1

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

2.

Howard Dean

2

10.

Other

3

Variable Format: numeric

Notes: UNF:5:8vLM2Z0YCz5NPWdxOYy/bA==

Know Candidate Who Won Most Primaries, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

998.

Don’t know

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

5.

John Kerry (correct)

0

7.

Joe Lieberman

0

10.

Other

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

999.

Refused

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Won Most Primaries, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

10.

Other

0

998.

Don’t know

0

1.

Wesley Clark

0

999.

Refused

0

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

3.

John Edwards

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Won Most Primaries, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

999.

Refused

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

10.

Other

0

7.

Joe Lieberman

0

3.

John Edwards

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

998.

Don’t know

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Candidate Who Won Most Primaries, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

3.

John Edwards

0

5.

John Kerry (correct)

0

6.

Dennis Kucinich

0

999.

Refused

0

10.

Other

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cNA07

f2529474 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

433

1.

Respondent said don’t know and was prompted, “Anyone come to

82

Variable Format: numeric

Notes: UNF:5:gE7pLcOYixoY9qnl+L3c8A==

Chance Clark Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Bush Will Beat Clark

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to cNA09–cNA10

f2529474 Location:

Value

Label

Frequency

Text

1.

cNA09 (Clark will beat Bush)

0

2.

cNA10 (Bush will beat Clark)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Dean Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:nUJhNdB3bVmnEoN2p2GsHg==

Chance Bush Will Beat Dean

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:sgYOS41yQ8LzOK6B/DN2/w==

Random Assignment to cNA12–cNA13

f2529474 Location:

Value

Label

Frequency

Text

2.

cNA13 (Bush will beat Dean)

37

1.

cNA12 (Dean will beat Bush)

39

Variable Format: numeric

Notes: UNF:5:KD00pNHI6thWx+Gqu548wA==

Chance Edwards Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

10

998.

Don’t know

29

Variable Format: numeric

Notes: UNF:5:5H/FfMfXvoxkfDGSqLjs2g==

Chance Bush Will Beat Edwards

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

30

Variable Format: numeric

Notes: UNF:5:VNVVDPq9Q4hp/urFrcbdOA==

Random Assignment to cNA15–cNA16

f2529474 Location:

Value

Label

Frequency

Text

1.

cNA15 (Edwards will beat Bush)

1016

2.

cNA16 (Bush will beat Edwards)

1073

Variable Format: numeric

Notes: UNF:5:z22CDLqJXd8ITSm55ameuA==

Chance Gephardt Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Bush Will Beat Gephardt

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to cNA18–cNA19

f2529474 Location:

Value

Label

Frequency

Text

2.

cNA19 (Bush will beat Gephardt)

0

1.

cNA18 (Gephardt will beat Bush)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Kerry Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

30

Variable Format: numeric

Notes: UNF:5:vWAdXkYFid7D6aEicQGSoQ==

Chance Bush Will Beat Kerry

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

6

998.

Don’t know

33

Variable Format: numeric

Notes: UNF:5:thrc/q4Q6ukCwhy/wVS8hg==

Random Assignment to cNA21–cNA22

f2529474 Location:

Value

Label

Frequency

Text

1.

cNA21 (Kerry will beat Bush)

1271

2.

cNA22 (Bush will beat Kerry)

1304

Variable Format: numeric

Notes: UNF:5:/64BKLKvToSsNi69Ta/1zw==

Chance Lieberman Will Beat Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance Bush Will Beat Lieberman

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to cNA24–cNA25

f2529474 Location:

Value

Label

Frequency

Text

1.

cNA24 (Lieberman will beat Bush)

0

2.

cNA25 (Bush will beat Lieberman)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Gore’s Endorsement for Primary

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean (correct)

41

4.

Richard Gephardt

0

999.

Refused

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

1

9.

Al Sharpton

1

1.

Wesley Clark

0

998.

Don’t know

58

6.

Dennis Kucinich

0

10.

Other

1

3.

John Edwards

1

5.

John Kerry

22

Variable Format: numeric

Notes: UNF:5:WowfGk/M64jEVm07Jn+6eQ==

Gore’s Endorsement of Dean Affects Vote

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

No difference

0

999.

Refused

0

1.

More

0

2.

Less

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Bradley’s Endorsement for Primary

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

999.

Refused

0

2.

Howard Dean (correct)

0

10.

Other

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

9.

Al Sharpton

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know Madonna’s Endorsement for Primary

f2529474 Location:

Value

Label

Frequency

Text

1.

Wesley Clark (correct)

0

9.

Al Sharpton

0

10.

Other

0

998.

Don’t know

0

3.

John Edwards

0

7.

Joe Lieberman

0

999.

Refused

0

5.

John Kerry

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know if Bush or Gore Has More Support From Retired Military Leaders

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush (correct)

0

2.

Kerry

0

998.

Don’t know

0

4.

Neither

0

999.

Refused

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Don’t-Know Prompt for cNB12

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

General Election Endorsement by Newspaper Read Most

f2529474 Location:

Value

Label

Frequency

Text

5.

Did not endorse candidate

0

999.

Refused

0

4.

Someone else

0

2.

Kerry

0

3.

Nader

0

1.

Yes, Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

General Election Endorsement Affected Vote

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

General Election Endorsement Affected Vote, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Registered to Vote

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

19

999.

Refused

3

2.

Not registered

503

1.

Registered

2388

Variable Format: numeric

Notes: UNF:5:4JcmH+UTrpVclSEk5Dq+ag==

First Time Registered to Vote

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

First time

0

998.

Don’t know

0

2.

Registered before

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Democratic Presidential Primary Election Status

f2529474 Location:

Value

Label

Frequency

Text

2.

Interviewed after state’s Democratic primary

790

1.

Interviewed before state’s Democratic primary

2123

Variable Format: numeric

Notes: UNF:5:8Nx82/FRJhXMAt/7XL59cQ==

Intend to Vote in Primary

f2529474 Location:

Value

Label

Frequency

Text

2.

No

447

1.

Yes

1517

3.

Intend to vote in different primary

0

999.

Refused

4

998.

Don’t know

74

Variable Format: numeric

Notes: UNF:5:D89ng0TpvSjER1cYOQ91XQ==

Chance of Voting in Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

5

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:VV7HgZOArEOsg2com5PvbA==

Intend to Vote in Republican or Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

2.

Democratic

724

998.

Don’t know

166

1.

Republican

591

3.

Other

20

999.

Refused

16

Variable Format: numeric

Notes: UNF:5:iErSIC4l8NL4CZQtsNAGLg==

Candidate Intend to Vote for in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

10.

Other

4

5.

Kerry

402

3.

Edwards

142

999.

Refused

3

2.

Dean

2

11.

Would not vote

8

4.

Gephardt

0

1.

Clark

0

8.

Moseley Braun

0

998.

Don’t know

88

7.

Lieberman

1

6.

Kucinich

17

9.

Sharpton

21

Variable Format: numeric

Notes: UNF:5:lCv59ocDj5EahNoFtlpzew==

Chance of Voting for Different Candidate in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

3.

Unlikely will change mind

108

1.

Definitely will vote for candidate

294

999.

Refused

3

998.

Don’t know

14

2.

Good chance will change mind

166

Variable Format: numeric

Notes: UNF:5:jEhd9S9i/Qgdokj5K8IzZQ==

Why Supporting Candidate in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

998.

Don’t know

9

1.

Record

29

5.

Other

35

2.

Issues

161

4.

Defeating Bush

293

3.

Personality

57

Variable Format: numeric

Notes: UNF:5:CAK7pfLqM3xbF4HiO9P5ZA==

Intend to Early Vote in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

17

1.

Yes

129

2.

No

578

Variable Format: numeric

Notes: UNF:5:xUaoVx1El/cq05psbOiASA==

Intended Method of Early Voting in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

4.

Personally dropping off

10

3.

Fax

1

1.

Polling station

70

999.

Refused

0

2.

Mail

40

8.

Other

2

7.

Online

1

5.

Someone else dropping off

1

998.

Don’t know

4

6.

Phone

0

Variable Format: numeric

Notes: UNF:5:8Z0ik3T1xWUqdql+CJdiRg==

Voted in Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

4

999.

Refused

7

1.

Yes

406

3.

Intend to vote in different primary

1

2.

No

2495

Variable Format: numeric

Notes: UNF:5:qaZpXdrtZTwbPN4Ue7jeKQ==

Voted in Republican or Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

1.

Republican

117

998.

Don’t know

14

2.

Democratic

263

999.

Refused

12

Variable Format: numeric

Notes: UNF:5:tcqB1mJXIe9+I8U95mQBkQ==

Candidate Voted for in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

8.

Moseley Braun

0

9.

Sharpton

2

4.

Gephardt

0

6.

Kucinich

6

1.

Clark

3

999.

Refused

13

10.

Other

25

998.

Don’t know

12

7.

Lieberman

0

5.

Kerry

125

11.

Did not vote for presidential nominee

4

3.

Edwards

64

2.

Dean

9

Variable Format: numeric

Notes: UNF:5:PEvfl16ZIvZf+yiwwhOYpQ==

When Made Up Mind About Democratic Primary Vote

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

1.

Election Day

24

5.

One month

34

2.

One day before

11

4.

One week

41

6.

More than one month before

29

3.

Weekend

14

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sp8kKaQU/LAKH/sLoBuNaQ==

Ever Intended to Vote for Different Candidate in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

2

999.

Refused

1

10.

Other

13

1.

Yes, Wesley Clark

2

2.

Howard Dean

22

7.

Joe Lieberman

0

11.

Did not change mind

70

3.

John Edwards

15

5.

John Kerry

15

9.

Al Sharpton

0

998.

Don’t know

14

Variable Format: numeric

Notes: UNF:5:3iyUaz3xQUCdLaYUNEVmZA==

Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:J7eKWRmGkBgIX6euHVZUcA==

Why Supported Candidate in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

2.

Issues

63

4.

Defeating Bush

79

1.

Record

14

3.

Personality

15

999.

Refused

0

5.

Other

13

Variable Format: numeric

Notes: UNF:5:joRabBb8OQvmuhzssvHrgw==

Early Voted in Primary

f2529474 Location:

Value

Label

Frequency

Text

2.

No

247

1.

Yes

159

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:WwjjtHpK8pbMQ40T/EdHhw==

Method of Early Voting in Primary

f2529474 Location:

Value

Label

Frequency

Text

7.

Online

1

1.

Polling station

83

4.

Personally dropping off

8

998.

Don’t know

4

3.

Fax

0

8.

Other

4

999.

Refused

2

2.

Mail

55

6.

Phone

1

5.

Someone else dropping off

1

Variable Format: numeric

Notes: UNF:5:I5K+cb4Jys/2sWU8c6gqIQ==

Date of Early Voting in Primary (Asked Pre-Election)

f2529474 Location:

Value

Label

Frequency

Text

2.

Yesterday

7

998.

Don’t know

8

4.

Four to seven days

19

3.

Two to three days ago

8

5.

More than one week ago

25

999.

Refused

0

1.

Today

14

Variable Format: numeric

Notes: UNF:5:hec0wOk74DQFFUC4CCj3+Q==

Date of Early Voting in Primary (Asked Post-Election)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

9

2.

Two to three days

11

1.

Day before

22

6.

More than one month before

0

5.

Three to four weeks

5

3.

Four to seven days

13

4.

One to to weeks

18

Variable Format: numeric

Notes: UNF:5:Aqb49qTJY+Sf8dy00Hwe1A==

Would Change Early Vote in Democratic Primary

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

999.

Refused

0

1.

Yes

7

2.

No

38

Variable Format: numeric

Notes: UNF:5:ACJnv7cjxJ3CggaFmtHT9w==

Why Did Not Vote in Primary, 1 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

28

999.

Refused

1

4.

Vote is a waste of time

12

6.

It was for Democrats

43

8.

Don’t like candidates / no one to vote for

15

2.

No time / too busy

67

1.

Not registered

81

9.

Other

148

3.

Not interested / not following the election

32

7.

Primary not being held

20

5.

Republican / Bush running unopposed

13

Variable Format: numeric

Notes: UNF:5:Oe66D/3OJzyTO2jOOllo4g==

Why Did Not Vote in Primary, 2 of 5

f2529474 Location:

Value

Label

Frequency

Text

9.

Other

1

5.

Republican / Bush running unopposed

1

3.

Not interested / not following the election

1

6.

It was for Democrats

1

2.

No time / too busy

1

1.

Not registered

0

4.

Vote is a waste of time

0

998.

Don’t know

0

999.

Refused

0

7.

Primary not being held

0

8.

Don’t like candidates / no one to vote for

2

Variable Format: numeric

Notes: UNF:5:B6mmcGry8GjM1+iff34ssA==

Why Did Not Vote in Primary, 3 of 5

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

7.

Primary not being held

0

4.

Vote is a waste of time

0

9.

Other

0

1.

Not registered

0

3.

Not interested / not following the election

0

6.

It was for Democrats

1

8.

Don’t like candidates / no one to vote for

0

5.

Republican / Bush running unopposed

0

2.

No time / too busy

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:0ZZKpITNbxMI4A4Qj6e+/w==

Why Did Not Vote in Primary, 4 of 5

f2529474 Location:

Value

Label

Frequency

Text

4.

Vote is a waste of time

0

7.

Primary not being held

0

998.

Don’t know

0

2.

No time / too busy

0

3.

Not interested / not following the election

0

9.

Other

0

8.

Don’t like candidates / no one to vote for

0

5.

Republican / Bush running unopposed

0

1.

Not registered

0

999.

Refused

0

6.

It was for Democrats

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Did Not Vote in Primary, 5 of 5

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

6.

It was for Democrats

0

2.

No time / too busy

0

1.

Not registered

0

4.

Vote is a waste of time

0

9.

Other

0

5.

Republican / Bush running unopposed

0

7.

Primary not being held

0

998.

Don’t know

0

8.

Don’t like candidates / no one to vote for

0

3.

Not interested / not following the election

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Did Not Vote in Primary, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:BpvdTFFgP1K/dh1hHHSKLg==

Intend to Vote in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Chance of Voting in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush or Democrat

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

3.

Other

0

2.

Democrat

0

5.

Depends

0

4.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush or Clark

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Other

0

999.

Refused

0

4.

Would not vote

0

2.

Clark

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush or Dean

f2529474 Location:

Value

Label

Frequency

Text

4.

Would not vote

3

2.

Dean

45

3.

Other

1

999.

Refused

1

1.

Bush

73

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:H6k1/9uSFtKyJxCS9RQi8Q==

Intend to Vote for Bush or Edwards

f2529474 Location:

Value

Label

Frequency

Text

3.

Other

18

4.

Would not vote

43

999.

Refused

20

2.

Edwards

998

998.

Don’t know

106

1.

Bush

917

Variable Format: numeric

Notes: UNF:5:m6negV1/jZ/C5KjfG+Mh3A==

Intend to Vote for Bush or Kerry

f2529474 Location:

Value

Label

Frequency

Text

4.

Would not vote

47

998.

Don’t know

113

2.

Kerry

1239

999.

Refused

27

1.

Bush

1073

3.

Other

17

Variable Format: numeric

Notes: UNF:5:/jc2kxDoOc/Mrf2LQvSKAg==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2

f2529474 Location:

Value

Label

Frequency

Text

2.

Howard Dean (variable cRC05)

0

1.

Wesley Clark (variable cRC04)

0

4.

John Kerry (cRC07)

0

3.

John Edwards (cRC06)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2

f2529474 Location:

Value

Label

Frequency

Text

4.

John Kerry (cRC07)

0

2.

Howard Dean (variable cRC05)

0

1.

Wesley Clark (variable cRC04)

0

3.

John Edwards (cRC06)

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards (cRC06)

60

4.

John Kerry (cRC07)

0

2.

Howard Dean (variable cRC05)

151

Variable Format: numeric

Notes: UNF:5:nReCxa0/8UOLPrIA0MZx7A==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2

f2529474 Location:

Value

Label

Frequency

Text

3.

John Edwards (cRC06)

68

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

143

Variable Format: numeric

Notes: UNF:5:FEkrLU9kkxAwpEpp6wq1hw==

Intend to Vote for Bush, Kerry, or Nader (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

3.

Nader

0

4.

Other

0

5.

Would not vote

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush, Kerry, or Nader (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Kerry

0

4.

Other

0

1.

Bush

0

3.

Nader

0

5.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush, Kerry, or Nader (Wording #3)

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

4.

Other

0

5.

Would not vote

0

999.

Refused

0

2.

Kerry

0

3.

Nader

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush, Kerry, or Nader (Wording #4)

f2529474 Location:

Value

Label

Frequency

Text

2.

Kerry

0

5.

Would not vote

0

998.

Don’t know

0

1.

Bush

0

4.

Other

0

3.

Nader

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush, Kerry, or Nader (Wording #5)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Nader

0

998.

Don’t know

0

1.

Bush

0

4.

Other

0

5.

Would not vote

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intend to Vote for Bush or Kerry if Nader Not on Ballot

f2529474 Location:

Value

Label

Frequency

Text

3.

Write in Nader

0

999.

Refused

0

5.

Would not vote

0

1.

Bush

0

998.

Don’t know

0

4.

Other

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Definitely Intend to Vote for Bush in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

Good chance will change mind

13

998.

Don’t know

9

1.

Definitely will vote for candidate

53

999.

Refused

0

3.

Unlikely will change mind

12

Variable Format: numeric

Notes: UNF:5:HVIKqHr2Boppb6gin/CJlg==

Definitely Intend to Vote for Kerry in General Election

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Good chance will change mind

13

998.

Don’t know

3

1.

Definitely will vote for candidate

86

3.

Unlikely will change mind

8

Variable Format: numeric

Notes: UNF:5:SLLC664UBT+ep0D+4O0CeA==

Definitely Intend to Vote for Nader in General Election

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Unlikely will change mind

0

1.

Definitely will vote for candidate

0

998.

Don’t know

0

2.

Good chance will change mind

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Enthusiastic About Bush-Cheney

f2529474 Location:

Value

Label

Frequency

Text

1.

Extremely

0

998.

Don’t know

0

2.

Very

0

3.

Somewhat

0

4.

Not at all

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Upset About Bush-Cheney

f2529474 Location:

Value

Label

Frequency

Text

1.

Extremely

0

3.

Somewhat

0

999.

Refused

0

4.

Not at all

0

2.

Very

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Enthusiastic About Kerry-Edwards

f2529474 Location:

Value

Label

Frequency

Text

1.

Extremely

0

998.

Don’t know

0

999.

Refused

0

4.

Not at all

0

2.

Very

0

3.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Upset About Kerry-Edwards

f2529474 Location:

Value

Label

Frequency

Text

4.

Not at all

0

3.

Somewhat

0

1.

Extremely

0

2.

Very

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supporting Bush Because Against Kerry

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Against Kerry

0

1.

For Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supporting Kerry Because Against Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Against Bush

0

999.

Refused

0

1.

For Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Bush Should Keep Cheney as Running Mate

f2529474 Location:

Value

Label

Frequency

Text

1.

Keep Cheney

447

998.

Don’t know

69

2.

Choose someone new

187

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:TEnkBzLp8Tg5tHWFkFgkfQ==

Intend to Early Vote in General Election

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Intended Method of Early Voting in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Personally dropping off

0

7.

Online

0

8.

Other

0

6.

Phone

0

5.

Someone else dropping off

0

2.

Mail

0

999.

Refused

0

3.

Fax

0

1.

Polling station

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted for Bush, Kerry, or Nader

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

2.

Kerry

0

5.

Did not vote for president

0

4.

Other

0

999.

Refused

0

3.

Nader

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted for Bush or Kerry (Nader Not on Ballot)

f2529474 Location:

Value

Label

Frequency

Text

3.

Other

0

2.

Kerry

0

4.

Did not vote for president

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted for Both Parties in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

Republican

0

1.

Both

0

998.

Don’t know

0

999.

Refused

0

3.

Democratic

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

General Election Is First Time Voted

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

When Made Up Mind About General Election Vote

f2529474 Location:

Value

Label

Frequency

Text

3.

Weekend

0

999.

Refused

0

998.

Don’t know

0

5.

One month

0

4.

One week

0

1.

Election Day

0

6.

More than one month before

0

2.

One day before

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

When Made Up Mind About General Election Vote More Than Month Before

f2529474 Location:

Value

Label

Frequency

Text

3.

Before summer

0

999.

Refused

0

2.

Summer

0

998.

Don’t know

0

1.

Fall

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Ever Intended to Vote for Bush in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

One month

0

7.

No

0

3.

Three months

0

1.

Yes, one week before

0

6.

More than one year before

0

5.

One year

0

4.

Six months

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Ever Intended to Vote for Kerry in General Election

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, one week before

0

999.

Refused

0

4.

Six months

0

7.

No

0

3.

Three months

0

2.

One month

0

6.

More than one year before

0

5.

One year

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supported Bush Because Against Kerry

f2529474 Location:

Value

Label

Frequency

Text

1.

For Bush

0

2.

Against Kerry

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Supported Kerry Because Against Bush

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

For Kerry

0

999.

Refused

0

2.

Against Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Early Voted in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

Did not vote early

0

999.

Refused

0

1.

Voted early

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Method of Early Voting in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

Mail

0

6.

Phone

0

3.

Fax

0

7.

Online

0

8.

Other

0

4.

Personally dropping off

0

998.

Don’t know

0

999.

Refused

0

1.

Polling station

0

5.

Someone else dropping off

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Date of Early Voting in General Election (Asked Pre-Election)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Yesterday

0

1.

Today

0

3.

Two to three days ago

0

998.

Don’t know

0

5.

More than one week ago

0

4.

Four to seven days

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Date of Early Voting in General Election (Asked Post-Election)

f2529474 Location:

Value

Label

Frequency

Text

4.

Two or more weeks before

0

1.

Day before Election Day

0

999.

Refused

0

2.

Few days before

0

3.

One week

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Change Early Vote in General Election

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

How Would Change Early Vote in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Kerry

0

3.

Nader

0

1.

Bush

0

999.

Refused

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Method of Voting at Polling Station in General Election

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Buttons or screen

0

5.

Other

0

2.

Holes in paper

0

3.

Lines on paper

0

1.

Levers on machine

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Cast Provisional Ballot in General Election

f2529474 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Did Not Vote in General Election

f2529474 Location:

Value

Label

Frequency

Text

3.

Not interested / not following the election

0

1.

Not registered

0

2.

No time / too busy

0

5.

Other

0

4.

Vote is a waste of time

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Why Did Not Vote in General Election, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)

f2529474 Location:

Value

Label

Frequency

Text

4.

Other

0

999.

Refused

0

2.

Kerry

0

3.

Nader

0

5.

Would not vote

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)

f2529474 Location:

Value

Label

Frequency

Text

4.

Would not vote

0

999.

Refused

0

1.

Bush

0

3.

Other

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted in 2000 General Election

f2529474 Location:

Value

Label

Frequency

Text

6.

Did not vote

586

5.

Someone else

32

3.

Buchanan

18

4.

Nader

75

999.

Refused

57

998.

Don’t know

36

1.

Yes, Bush

1156

2.

Gore

953

Variable Format: numeric

Notes: UNF:5:iEy6rZep67qR9tps7VpmwA==

Vote Because of Civic Duty or for Candidate or Issue (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

6.

Do not vote

58

4.

All three equally

134

2.

Candidate or issue

298

3.

Make a difference

503

1.

Civic duty

401

999.

Refused

9

998.

Don’t know

7

5.

Vote for other reason

23

Variable Format: numeric

Notes: UNF:5:5wHIeLir8QrYYj0juU2s3A==

Voting Only Way to Have Say in Government

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

18

2.

Somewhat agree

370

5.

Neither agree nor disagree

7

1.

Strongly agree

592

999.

Refused

6

4.

Strongly disagree

201

3.

Somewhat disagree

239

Variable Format: numeric

Notes: UNF:5:OXttbg67UjHPJ7jJm1g8tw==

Voting Best Way to Participate in Politics

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Strongly agree

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

999.

Refused

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Important to Vote Even if Candidate Has No Chance

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

998.

Don’t know

14

3.

Somewhat disagree

48

4.

Strongly disagree

49

2.

Somewhat agree

204

1.

Strongly agree

1110

5.

Neither agree nor disagree

3

Variable Format: numeric

Notes: UNF:5:FNtoT9eDk2U/uqVDI27mWA==

Enjoy Voting

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

81

998.

Don’t know

18

3.

Somewhat disagree

130

999.

Refused

6

2.

Somewhat agree

423

5.

Neither agree nor disagree

15

1.

Strongly agree

760

Variable Format: numeric

Notes: UNF:5:QJoMBe9UhyY31L8VXKVikA==

Vote Because of Civic Duty or for Candidate or Issue (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

Civic duty

0

999.

Refused

0

4.

Vote for other reason

0

2.

Candidate or issue

0

5.

Do not vote

0

3.

Both equally

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Feel Less American if Do Not Vote

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

1.

Strongly agree

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Feel Guilty if Do Not Vote

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

1.

Strongly agree

0

3.

Somewhat disagree

0

999.

Refused

0

998.

Don’t know

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

People in Family Will Vote (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

3.

Some

0

4.

Few

0

1.

All

0

999.

Refused

0

2.

Most

0

5.

None

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

People in Family Will Vote (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

All

0

3.

Some

0

998.

Don’t know

0

5.

None

0

999.

Refused

0

4.

Few

0

2.

Most

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

People in Family Voted

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

None

0

3.

Some

0

2.

Most

0

4.

Few

0

1.

All

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Friends Will Vote (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

3.

Some

0

1.

All

0

2.

Most

0

5.

None

0

999.

Refused

0

998.

Don’t know

0

4.

Few

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Friends Will Vote (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

All

0

999.

Refused

0

998.

Don’t know

0

4.

Few

0

2.

Most

0

3.

Some

0

5.

None

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Friends Voted

f2529474 Location:

Value

Label

Frequency

Text

5.

None

0

4.

Few

0

998.

Don’t know

0

1.

All

0

3.

Some

0

999.

Refused

0

2.

Most

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

People I Know Vote Always

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat agree

0

998.

Don’t know

0

5.

Neither agree nor disagree

0

1.

Strongly agree

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Family and Friends Disappointed if I Do Not Vote

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Strongly agree

0

4.

Strongly disagree

0

998.

Don’t know

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Vote for Female President

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Somewhat likely

0

5.

Depends

0

3.

Somewhat unlikely

0

4.

Very unlikely

0

999.

Refused

0

1.

Very likely

0

6.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Vote for Hillary Clinton or Bush

f2529474 Location:

Value

Label

Frequency

Text

2.

Clinton

0

998.

Don’t know

0

999.

Refused

0

4.

Would not vote

0

1.

Bush

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Vote for Feinstein or Bush

f2529474 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

3.

Other

0

4.

Would not vote

0

2.

Feinstein

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Vote for Elizabeth Dole or Kerry

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Would not vote

0

998.

Don’t know

0

1.

Kerry

0

2.

Dole

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Would Vote for Rice or Kerry

f2529474 Location:

Value

Label

Frequency

Text

3.

Other

0

998.

Don’t know

0

2.

Rice

0

999.

Refused

0

1.

Kerry

0

4.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Prefer Voting at Polling Station, by Mail, or Online

f2529474 Location:

Value

Label

Frequency

Text

4.

Do not vote

0

998.

Don’t know

0

2.

Internet

0

999.

Refused

0

3.

Mail

0

1.

Polling place

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Favor Online Voting

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Strongly favor

0

4.

Strongly oppose

0

999.

Refused

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

More Likely to Vote if Online

f2529474 Location:

Value

Label

Frequency

Text

3.

No effect

0

998.

Don’t know

0

2.

Less likely

0

999.

Refused

0

1.

More likely

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Support Ending Electoral College (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

998.

Don’t know

0

2.

Somewhat support

0

1.

Strongly support

0

999.

Refused

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Support Ending Electoral College (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

2.

Somewhat support

0

999.

Refused

0

998.

Don’t know

0

3.

Somewhat oppose

0

1.

Strongly support

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Response Order for Clark in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Response Order for Dean in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:e7F3ai9ckG2mTrnanvUr8Q==

Random Response Order for Edwards in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:12bB2HyfCrqjjZ6EF9uziw==

Random Response Order for Gephardt in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Response Order for Kerry in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:TA1clEZLIsi79Ta4kYnoOw==

Random Response Order for Kucinich in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:87Y8aST6VazrbTIzDY3KTw==

Random Response Order for Lieberman in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Response Order for Moseley Braun in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Response Order for Sharpton in cRB06, cRB13

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:j0WpQ+FARJ+rbhZWTwRFPg==

Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ZVwv13OCA5KMxRaVnnjdQQ==

Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:yMT8PsIkApSwLyjZrgLMFg==

Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cRC04

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Random Question Order for cRC05

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:kthNDOmPg/fOCcG0CyGwzA==

Random Question Order for cRC06

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:FAX6AHEjdb4SI0z88o448A==

Random Question Order for cRC07

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:iQYmqm61mYUqU32buSosOQ==

Bush Will Be Good President Even Though Voted for Kerry

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

0

998.

Don’t know

0

1.

Strongly agree

0

2.

Somewhat agree

0

999.

Refused

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Election Shows Every Vote Makes a Difference

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

1.

Strongly agree

0

5.

Neither agree nor disagree

0

2.

Somewhat agree

0

999.

Refused

0

998.

Don’t know

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Election Shows Democracy Not Working

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Neither agree nor disagree

0

999.

Refused

0

3.

Somewhat disagree

0

1.

Strongly agree

0

2.

Somewhat agree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Permanent Harm Done by Election Process

f2529474 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

5.

Neither agree nor disagree

0

1.

Strongly agree

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Confident Vote Counted Accurately

f2529474 Location:

Value

Label

Frequency

Text

3.

Somewhat doubtful

0

998.

Don’t know

0

1.

Very confident

0

2.

Somewhat confident

0

4.

Very doubtful

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Confident Vote Will Be Counted Accurately

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat confident

0

1.

Very confident

0

999.

Refused

0

4.

Very doubtful

0

998.

Don’t know

0

3.

Somewhat doubtful

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Casting Ballot Was Confusing

f2529474 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

1.

Not at all

0

999.

Refused

0

998.

Don’t know

0

3.

Very

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Certain Vote Cast Accurately

f2529474 Location:

Value

Label

Frequency

Text

4.

Not certain at all

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat certain

0

3.

Somewhat uncertain

0

1.

Absolutely certain

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Gore Cheated Out of Presidency

f2529474 Location:

Value

Label

Frequency

Text

1.

Strongly agree

459

999.

Refused

11

3.

Somewhat disagree

144

4.

Strongly disagree

405

998.

Don’t know

67

2.

Somewhat agree

158

Variable Format: numeric

Notes: UNF:5:o3ZTSHe0dyWkxMHiAdHTZA==

Congressional District

f2529474 Location:

Value

Label

Frequency

Text

9999.

Unavailable

0

Variable Format: numeric

Notes: UNF:5:PK/HJQ4fEvGkmIglQjyoAQ==

Know Names of Incumbent Senators

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

663

1.

Gave name or names

811

Variable Format: numeric

Notes: UNF:5:CkX73rfh6+k3w61mo07pGA==

Know Names of Incumbent Senators, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:gl5gW0Rp9y270GcUC4ojNw==

Don’t-Know Prompt for cUA02

f2529474 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Just your best

666

0.

Respondent answered without prompting

811

Variable Format: numeric

Notes: UNF:5:CBbo1rfn2BTzzR7JOiUJyQ==

Favorability of Senator Running for Re-Election

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

5

11.

Do not recognize name

96

12.

Know name but cannot rate

88

Variable Format: numeric

Notes: UNF:5:q9ZSZwrhHMHRr/MaY+GVrQ==

House Candidate Voted for in General Election

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Democrat

0

3.

Other/did not vote for Congress

0

999.

Refused

0

1.

Republican

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Senate Candidate Voted for in General Election

f2529474 Location:

Value

Label

Frequency

Text

50.

OK: Tom Coburn

0

61.

UT: Paul Van Dam

0

32.

LA: Sam Melton

0

12.

CT: Christopher Dodd

0

65.

WA: Patty Murray

0

51.

OK: Brad Carson

0

998.

Don’t know

0

47.

NY: Charles Schumer

0

70.

Other

0

66.

WI: Tim Michels

0

22.

IL: Barack Obama

0

4.

AR: Blanche Lincoln

0

71.

Did not vote for senator

0

30.

LA: Chris John

0

6.

AZ: Stuart Starky

0

52.

OR: Al King

0

44.

NV: Richard Ziser

0

59.

SD: Thomas Daschle

0

64.

WA: George Nethercutt

0

27.

KY: Jim Bunning

0

14.

FL: Betty Castor

0

29.

LA: David Vitter

0

25.

KS: Sam Brownback

0

3.

AR: Jim Holt

0

10.

CO: Ken Salazar

0

67.

WI: Russ Feingold

0

60.

UT: Robert Bennett

0

26.

KS: Lee Jones

0

41.

ND: Byron Dorgan

0

33.

LA: Arthur Morrell

0

55.

PA: Joseph Hoeffel

0

11.

CT: Jack Orchulli

0

23.

IN: Marvin Scott

0

35.

MD: Barbara Mikulski

0

9.

CO: Peter Coors

0

15.

GA: Johnny Isakson

0

68.

Generic Republican

0

57.

SC: Inez Tenenbaum

0

56.

SC: Jim DeMint

0

1.

AL: Richard Shelby

0

54.

PA: Arlen Specter

0

28.

KY: Daniel Mongiardo

0

43.

NH: Doris Haddock

0

49.

OH: Eric Fingerhut

0

34.

MD: E.J. Pipkin

0

31.

LA: John Kennedy

0

21.

IL: Alan Keyes

0

999.

Refused

0

46.

NY: Howard Mills

0

42.

NH: Judd Gregg

0

7.

CA: Bill Jones

0

2.

AL: Wayne Sowell

0

20.

ID: Scott McClure

0

13.

FL: Mel Martinez

0

8.

CA: Barbara Boxer

0

62.

VT: Jack McMullen

0

53.

OR: Ron Wyden

0

69.

Generic Democrat

0

19.

ID: Mike Crapo

0

36.

MO: Kit Bond

0

40.

ND: Mike Liffrig

0

38.

NC: Richard Burr

0

39.

NC: Erskine Bowles

0

45.

NV: Harry Reid

0

17.

IA: Charles Grassley

0

48.

OH: George Voinovich

0

18.

IA: Arthur Small

0

37.

MO: Nancy Farmer

0

58.

SD: John Thune

0

24.

IN: Evan Bayh

0

5.

AZ: John McCain

0

63.

VT: Patrick Leahy

0

16.

GA: Denise Majette

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Voted in 2002 Election (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

8

998.

Don’t know

60

1.

Yes

1835

2.

No

1010

Variable Format: numeric

Notes: UNF:5:dShDbuHJC0i/I6dNFjJgHQ==

Voted in 2002 Election (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

4.

Voted

0

2.

Thought about voting but did not

0

1.

Did not vote

0

999.

Refused

0

998.

Don’t know

0

3.

Usually vote but did not

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

House Candidate Voted for in 2002

f2529474 Location:

Value

Label

Frequency

Text

2.

Democrat

240

4.

Did not vote for Congress

5

3.

Other

3

998.

Don’t know

62

1.

Republican

269

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:41rZKOlACimsj5sl5ssGCQ==

Sex

f2529474 Location:

Value

Label

Frequency

Text

2.

Female

1543

1.

Male

1370

Variable Format: numeric

Notes: UNF:5:Zv86QVKvN6bA7LWeThn3pw==

Age

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

33

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:U5zbZ97VBlOfx07TF8abKA==

Education

f2529474 Location:

Value

Label

Frequency

Text

5.

Some college, no degree

572

2.

Some high school, no diploma

161

3.

High school diploma or equivalent

714

7.

Four-year college degree

563

1.

Grade 8 or lower

53

6.

Associate’s or two-year college degree

230

999.

Refused

30

9.

Graduate or professional degree

385

998.

Don’t know

5

4.

Technical or vocational school after high school

68

8.

Graduate or professional school, no degree

132

Variable Format: numeric

Notes: UNF:5:ZWXx3X31AlYHDMmI0Ejh8w==

Household Income

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

241

8.

$100,000–$150,000

274

6.

$50,000–$75,000

505

3.

$15,000–$25,000

292

998.

Don’t know

72

4.

$25,000–$35,000

307

2.

$10,000–$15,000

157

5.

$35,000–$50,000

431

1.

Less than $10,000

135

9.

More than $150,000

168

7.

$75,000–$100,000

331

Variable Format: numeric

Notes: UNF:5:u7eSty+ZRu15n7H2wbyoeA==

Employment Status

f2529474 Location:

Value

Label

Frequency

Text

6.

Homemaker

137

7.

Student

62

1.

Working full time

1581

2.

Part time

366

8.

Other

21

5.

Permanently disabled

90

998.

Don’t know

1

999.

Refused

16

3.

Temporarily laid off or unemployed

98

4.

Retired

541

Variable Format: numeric

Notes: UNF:5:+7wtePcP9UXr26K41rxang==

Line of Work (Employed)

f2529474 Location:

Value

Label

Frequency

Text

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

729

4.

Service worker (e.g., police officer, fire fighter, waiter o

193

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

122

6.

Manager (e.g., store manager, sales manager, office manager)

142

999.

Refused

8

7.

Semi-skilled worker (e.g., machine operator, assembly line w

89

998.

Don’t know

2

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

196

9.

Business owner

68

3.

Clerical or office worker (e.g., typist, secretary, postal c

202

8.

Salesperson

93

10.

Other

103

Variable Format: numeric

Notes: UNF:5:sZgcRVdJc5GxB5zV0zJFlA==

Line of Work (Employed), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:aqG1s7h2BkTEKNo5Kqg5VQ==

Line of Work (Not Currently Employed)

f2529474 Location:

Value

Label

Frequency

Text

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

0

9.

Business owner

0

10.

Other

0

6.

Manager (e.g., store manager, sales manager, office manager)

0

8.

Salesperson

0

998.

Don’t know

0

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

0

7.

Semi-skilled worker (e.g., machine operator, assembly line w

0

3.

Clerical or office worker (e.g., typist, secretary, postal c

0

999.

Refused

0

4.

Service worker (e.g., police officer, fire fighter, waiter o

0

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Line of Work (Not Currently Employed), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Self-Employed

f2529474 Location:

Value

Label

Frequency

Text

2.

Self-employed

327

1.

Not self-employed

1614

998.

Don’t know

3

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:gmeBD84khLi5j8QBBMT7yg==

Employed by Government

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

8

1.

Government or military employee

380

2.

Not government employee

1222

999.

Refused

10

Variable Format: numeric

Notes: UNF:5:t9nSNtjHiwVyr4vCCFL5MQ==

Anyone in Household Belongs to Labor Union

f2529474 Location:

Value

Label

Frequency

Text

2.

Other household member

158

3.

Both respondent and other household member

44

998.

Don’t know

17

4.

No one is union member

2436

999.

Refused

20

1.

Yes, respondent

238

Variable Format: numeric

Notes: UNF:5:v4BAjBYAb7qGofAOME4O9w==

Any Other Adults in Household Unemployed

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

1.

Yes

235

999.

Refused

17

2.

No

2562

Variable Format: numeric

Notes: UNF:5:3MJ8BhYwRC3UVRC1Rth0UA==

Know of Anyone Who Lost Job in Past Six Months (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

4.

No one lost job

521

1.

Yes, respondent

58

998.

Don’t know

7

999.

Refused

0

2.

Other person

340

3.

Respondent and other person

21

Variable Format: numeric

Notes: UNF:5:TAi1UNDcBWbHA0lpdyOyZw==

Know of Anyone Who Lost Job in Past Six Months (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Other person

0

999.

Refused

0

4.

No one lost job

0

1.

Yes, respondent

0

3.

Respondent and other person

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know of Anyone Who Regained Job in Past Six Months

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

70

998.

Don’t know

10

999.

Refused

0

2.

No

98

Variable Format: numeric

Notes: UNF:5:glCwOHpTEa6eSYA6o+9YOA==

Employed by Business That Exports

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Employed by Business That Imports

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Employed by Business That Supplies Imports or Exports

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Employed by Business That Outsources

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Hispanic

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

2.

No

2692

999.

Refused

25

1.

Yes

194

Variable Format: numeric

Notes: UNF:5:r1N+90V172cJRjDqfTN2Ww==

Line of Hispanic Origin

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

0

4.

Something else

54

1.

Mexican

109

3.

Puerto Rican

25

2.

Cuban

5

Variable Format: numeric

Notes: UNF:5:j4KygFk9JvrQIlCb85rJ2g==

Line of Hispanic Origin, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:l/gin24JbfctaAPSFhDL6Q==

Race

f2529474 Location:

Value

Label

Frequency

Text

5.

Other

104

4.

American Indian

28

2.

Black

238

3.

Asian

49

999.

Refused

50

1.

White

2437

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:aGacz3MVoj1aWJbufOi7QA==

Race, Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:RQQSIgBD21lMkufWU0hWuQ==

Born in U.S.

f2529474 Location:

Value

Label

Frequency

Text

2.

No

228

998.

Don’t know

2

999.

Refused

21

1.

Yes

2662

Variable Format: numeric

Notes: UNF:5:i67b3AjqZ2Z+3TPIbXItyw==

U.S. Citizen

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

81

1.

Yes

146

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:DzTScsEwK/DPKTtURb4lmQ==

Years Lived in U.S.

f2529474 Location:

Value

Label

Frequency

Text

0.

Less than six months

0

1.

Six months to one year

7

998.

Don’t know

1

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:Q0FKA46M6TIQZIyfUECc/A==

Years at Present Address

f2529474 Location:

Value

Label

Frequency

Text

0.

Less than six months

223

999.

Refused

22

1.

Six months to one year

317

998.

Don’t know

3

Variable Format: numeric

Notes: UNF:5:zwYAxflkUQlyawcIJl8gfg==

Attend Religious Services

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

14

999.

Refused

31

2.

Once a week

772

4.

Few times a year

741

5.

Never

532

1.

More than once a week

382

3.

Once or twice a month

441

Variable Format: numeric

Notes: UNF:5:D1xm9fVYPcwUwd2UmZlCgA==

Religion (Attend Religious Services)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

28

3.

Jewish

58

998.

Don’t know

19

4.

Mormon

60

2.

Catholic

638

7.

Other

78

1.

Protestant (including Baptist, Christian, Episcopal, Jehovah

1436

5.

Orthodox (including Greek, Russian, and Eastern)

14

6.

Muslim

5

Variable Format: numeric

Notes: UNF:5:4OOtKL9P36QyiYpk84Pm0Q==

Religion (Attend Religious Services), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:XNgyyW+nCswtpTfp67bv9Q==

Religion (Do Not Attend Religious Services)

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

12

4.

Mormon

3

5.

Orthodox (including Greek, Russian, and Eastern)

3

3.

Jewish

13

9.

Atheist or agnostic

74

7.

Other

17

1.

Yes, Protestant (including Baptist, Christian, Episcopal, Je

162

2.

Catholic

67

8.

No denomination

223

6.

Muslim

1

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:ZTFjBIDwM2D4aiyz1MVJaA==

Religion (Do Not Attend Religious Services), Verbatim

f2529474 Location:

Variable Format: character

Notes: UNF:5:VrPLLkac9HQlCDJWEOyJEg==

Born-Again Christian

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

54

1.

Yes

1005

2.

No

1445

999.

Refused

35

Variable Format: numeric

Notes: UNF:5:0yP5XR4mQf3Yup8d9j/0ag==

Anyone in Household Ever Served in Military

f2529474 Location:

Value

Label

Frequency

Text

3.

Both respondent and other household member

24

1.

Yes, respondent

435

2.

Other household member

440

998.

Don’t know

4

999.

Refused

28

4.

No one served in military

1982

Variable Format: numeric

Notes: UNF:5:16TQ6WEARuAz98wati6Qpw==

Branch of Military Respondent Ever Served In, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

National Guard

22

1.

Regular

318

2.

Reserves

41

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ku1W55fwPwXcWlWr59NGLQ==

Branch of Military Respondent Ever Served In, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

National Guard

8

998.

Don’t know

0

2.

Reserves

13

1.

Regular

2

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:KXE8W+777JHgSKTO8AdScQ==

Branch of Military Respondent Ever Served In, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Regular

0

998.

Don’t know

0

3.

National Guard

2

2.

Reserves

1

Variable Format: numeric

Notes: UNF:5:wzxU0tq+VcgQylWTw9/HuQ==

Branch of Military Other Household Member Ever Served In, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

National Guard

29

999.

Refused

0

2.

Reserves

35

998.

Don’t know

5

1.

Regular

329

Variable Format: numeric

Notes: UNF:5:e0evOmIOvDDsZ/6nFvec2Q==

Branch of Military Other Household Member Ever Served In, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

National Guard

3

1.

Regular

5

999.

Refused

0

998.

Don’t know

0

2.

Reserves

9

Variable Format: numeric

Notes: UNF:5:/q9Z6nUEB2FKK1uNCcwY6Q==

Branch of Military Other Household Member Ever Served In, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Regular

0

3.

National Guard

0

2.

Reserves

1

Variable Format: numeric

Notes: UNF:5:fG3hf7090kqRD3+seVn7fA==

Anyone in Household Currently in Military

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

21

3.

Both respondent and other household member

1

998.

Don’t know

0

2.

Other household member

56

4.

No one still serving

821

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ndkydRQD5mM85wjYDnO7fA==

Branch of Military Respondent Currently Serving In, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

3.

National Guard

0

2.

Reserves

0

1.

Regular

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Branch of Military Respondent Currently Serving In, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Regular

0

2.

Reserves

0

3.

National Guard

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Branch of Military Respondent Currently Serving In, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

2.

Reserves

0

999.

Refused

0

3.

National Guard

0

1.

Regular

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Branch of Military Other Household Member Currently Serving In, 1 of 3

f2529474 Location:

Value

Label

Frequency

Text

2.

Reserves

0

3.

National Guard

0

998.

Don’t know

0

999.

Refused

0

1.

Regular

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Branch of Military Other Household Member Currently Serving In, 2 of 3

f2529474 Location:

Value

Label

Frequency

Text

2.

Reserves

0

998.

Don’t know

0

3.

National Guard

0

999.

Refused

0

1.

Regular

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Branch of Military Other Household Member Currently Serving In, 3 of 3

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

National Guard

0

2.

Reserves

0

999.

Refused

0

1.

Regular

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Anyone in Household Served in Military Overseas in Past Four Years

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

16

2.

Other household member

65

998.

Don’t know

3

3.

Both respondent and other household member

1

4.

No one served overseas in past four years

674

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:UobWCQSb8kMf/MsScW05GQ==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529474 Location:

Value

Label

Frequency

Text

1.

Afghanistan

7

4.

Kosovo

3

999.

Refused

3

5.

Other

50

998.

Don’t know

9

2.

Bosnia

2

3.

Iraq

8

Variable Format: numeric

Notes: UNF:5:ohllkz9ncpztNC4zZS0bdQ==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529474 Location:

Value

Label

Frequency

Text

1.

Afghanistan

0

4.

Kosovo

0

2.

Bosnia

1

5.

Other

0

3.

Iraq

1

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:0Ph/UgOQsr6gieh6Td+FJw==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529474 Location:

Value

Label

Frequency

Text

4.

Kosovo

0

2.

Bosnia

0

1.

Afghanistan

0

5.

Other

0

998.

Don’t know

0

3.

Iraq

1

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:KDWQtBHNoqtu1aj73AoX5g==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529474 Location:

Value

Label

Frequency

Text

4.

Kosovo

1

2.

Bosnia

0

1.

Afghanistan

0

998.

Don’t know

0

5.

Other

0

999.

Refused

0

3.

Iraq

0

Variable Format: numeric

Notes: UNF:5:bB9DeVn7p2RJgc27/BpEbA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529474 Location:

Value

Label

Frequency

Text

5.

Other

1

999.

Refused

0

2.

Bosnia

0

1.

Afghanistan

0

998.

Don’t know

0

4.

Kosovo

0

3.

Iraq

0

Variable Format: numeric

Notes: UNF:5:EpozAO7D3Sk7P+TFtrRTeA==

Total Adults in Household

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:cKRO1b8BxoNKu78cGLlmNw==

Adults Age 18–22 in Household

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Total Children in Household

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

22

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:+bt3vZfPyMfn6+I4muIA6g==

Children Age 14–17 in Household

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Children Age 6–13 in Household

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Children Under Age 5 in Household

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Marital Status

f2529474 Location:

Value

Label

Frequency

Text

3.

Widowed

230

999.

Refused

31

998.

Don’t know

3

5.

Separated

61

2.

Living as married

91

4.

Divorced

356

6.

Never married

529

1.

Married

1612

Variable Format: numeric

Notes: UNF:5:S/QXVAi8boTSTYEPX9jXBQ==

Census Division

f2529474 Location:

Value

Label

Frequency

Text

2.

Middle Atlantic (NJ, NY, PA)

410

3.

East North Central (IL, IN, MI, OH, WI)

485

1.

New England (CT, MA, ME, NH, RI, VT)

145

4.

West North Central (IA, KS, MN, MO, ND, NE, SD)

248

7.

West South Central (AR, LA, OK, TX)

301

8.

Mountain (AZ, CO, ID, MT, NM, NV, UT, WY)

211

6.

East South Central (AL, KY, MS, TN)

183

9.

Pacific (CA, OR, WA)

412

5.

South Atlantic (DC, DE, FL, GA, MD, NC, SC, VA, WV)

518

Variable Format: numeric

Notes: UNF:5:0fZQhha3+MXBzcsQeXpkRw==

Metropolitan Statistical Area

f2529474 Location:

Value

Label

Frequency

Text

25060.

Gulfport–Biloxi (MS)

4

24220.

Grand Forks (MN, ND)

2

22540.

Fond Du Lac (WI)

1

29180.

Lafayette (LA)

4

35380.

New Orleans–Metairie–Kenner (LA)

8

36780.

Oshkosh–Neenah (WI)

4

13820.

Birmingham–Hoover (AL)

13

27100.

Jackson (MI)

1

12580.

Baltimore–Towson (MD)

26

48300.

Wenatchee (WA)

2

42540.

Scranton–Wilkes-Barre (PA)

9

12220.

Auburn–Opelika (AL)

0

20220.

Dubuque (IA)

0

17820.

Colorado Springs (CO)

3

31420.

Macon (GA)

1

41500.

Salinas (CA)

2

23580.

Gainesville (GA)

0

24580.

Green Bay (WI)

4

24540.

Greeley (CO)

5

10900.

Allentown–Bethlehem–Easton (NJ, PA)

11

22220.

Fayetteville (AR, MO)

5

12020.

Athens–Clarke County (GA)

4

33100.

Miami–Fort Lauderdale–Miami Beach (FL)

27

22460.

Florence (AL)

1

35300.

New Haven–Milford (CT)

5

32780.

Medford (OR)

2

30620.

Lima (OH)

3

19820.

Detroit–Warren–Livonia (MI)

34

40340.

Rochester (MN)

3

27140.

Jackson (MS)

3

11100.

Amarillo (TX)

2

23420.

Fresno (CA)

5

41540.

Salisbury (MD)

1

41780.

Sandusky (OH)

1

27860.

Jonesboro (AR)

2

34940.

Naples–Marco Island (FL)

3

20100.

Dover (DE)

1

17020.

Chico (CA)

3

33660.

Mobile (AL)

3

36420.

Oklahoma City (OK)

8

32580.

McAllen–Edinburg–Pharr (TX)

6

24660.

Greensboro–High Point (NC)

9

10780.

Alexandria (LA)

2

49340.

Worcester (MA)

4

31100.

Los Angeles–Long Beach–Santa Ana (CA)

91

41940.

San Jose–Sunnyvale–Santa Clara (CA)

17

16860.

Chattanooga (GA, TN)

4

33340.

Milwaukee–Waukesha–West Allis (WI)

24

21300.

Elmira (NY)

0

45500.

Texarkana (AR, TX)

2

48540.

Wheeling (OH, WV)

2

29140.

Lafayette (IN)

1

22020.

Fargo (MN, ND)

0

25180.

Hagerstown–Martinsburg (MD, WV)

5

36980.

Owensboro (KY)

1

17420.

Cleveland (TN)

0

49700.

Yuba City–Marysville (CA)

0

26820.

Idaho Falls (ID)

2

39660.

Rapid City (SD)

0

39140.

Prescott (AZ)

3

33860.

Montgomery (AL)

3

30460.

Lexington–Fayette (KY)

5

29020.

Kokomo (IN)

0

17980.

Columbus (AL, GA)

4

22380.

Flagstaff (AZ)

0

48140.

Wausau (WI)

2

37340.

Palm Bay–Melbourne–Titusville (FL)

4

25620.

Hattiesburg (MS)

1

28740.

Kingston (NY)

3

23540.

Gainesville (FL)

4

24340.

Grand Rapids–Wyoming (MI)

5

21780.

Evansville (IN, KY)

4

16180.

Carson City (NV)

1

29460.

Lakeland–Winter Haven (FL)

3

16620.

Charleston (WV)

5

34580.

Mount Vernon–Anacortes (WA)

1

27740.

Johnson City (TN)

1

39460.

Punta Gorda (FL)

2

45460.

Terre Haute (IN)

1

30980.

Longview (TX)

2

48260.

Weirton–Steubenville (OH, WV)

3

38220.

Pine Bluff (AR)

0

34820.

Myrtle Beach–Conway–North Myrtle Beach (SC)

4

32900.

Merced (CA)

1

31460.

Madera (CA)

4

19100.

Dallas–Fort Worth–Arlington (TX)

55

24780.

Greenville (NC)

0

47020.

Victoria (TX)

0

25980.

Hinesville–Fort Stewart (GA)

1

44180.

Springfield (MO)

3

21660.

Eugene–Springfield (OR)

7

43100.

Sheboygan (WI)

0

44140.

Springfield (MA)

9

46060.

Tucson (AZ)

8

44700.

Stockton (CA)

6

20740.

Eau Claire (WI)

3

27780.

Johnstown (PA)

4

36740.

Orlando (FL)

13

18140.

Columbus (OH)

18

22500.

Florence (SC)

0

12420.

Austin–Round Rock (TX)

16

28940.

Knoxville (TN)

6

16300.

Cedar Rapids (IA)

3

49740.

Yuma (AZ)

2

13980.

Blacksburg–Christiansburg–Radford (VA)

3

19660.

Deltona–Daytona Beach–Ormond Beach (FL)

4

18020.

Columbus (IN)

3

27060.

Ithaca (NY)

2

37100.

Oxnard–Thousand Oaks–Ventura (CA)

4

42260.

Sarasota–Bradenton–Venice (FL)

9

30700.

Lincoln (NE)

6

43780.

South Bend–Mishawaka (IN, MI)

2

45820.

Topeka (KS)

3

21500.

Erie (PA)

3

18700.

Corvallis (OR)

0

17860.

Columbia (MO)

2

29740.

Las Cruces (NM)

1

45060.

Syracuse (NY)

8

32820.

Memphis (AR, MS, TN)

14

14460.

Boston–Cambridge–Quincy (MA, NH)

34

11300.

Anderson (IN)

0

35620.

New York–Newark–Edison (NJ, NY, PA)

149

37460.

Panama City–Lynn Haven (FL)

2

14020.

Bloomington (IN)

2

11500.

Anniston–Oxford (AL)

2

27620.

Jefferson City (MO)

3

14500.

Boulder (CO)

4

36100.

Ocala (FL)

3

45300.

Tampa–St. Petersburg–Clearwater (FL)

29

20260.

Duluth (MN, WI)

3

14740.

Bremerton–Silverdale (WA)

5

48700.

Williamsport (PA)

0

23460.

Gadsden (AL)

2

41860.

San Francisco–Oakland–Fremont (CA)

46

15980.

Cape Coral–Fort Myers (FL)

4

15180.

Brownsville–Harlingen (TX)

2

43300.

Sherman–Denison (TX)

1

22180.

Fayetteville (NC)

2

49620.

York–Hanover (PA)

7

37860.

Pensacola–Ferry Pass–Brent (FL)

2

26900.

Indianapolis (IN)

31

41180.

St. Louis (IL, MO)

22

30340.

Lewiston–Auburn (ME)

0

29100.

La Crosse (MN, WI)

4

38300.

Pittsburgh (PA)

18

19140.

Dalton (GA)

0

38060.

Phoenix–Mesa–Scottsdale (AZ)

32

34620.

Muncie (IN)

5

28420.

Kennewick–Richland–Pasco (WA)

2

26980.

Iowa City (IA)

3

39900.

Reno–Sparks (NV)

3

25860.

Hickory–Morganton–Lenoir (NC)

5

14540.

Bowling Green (KY)

1

33780.

Monroe (MI)

1

13740.

Billings (MT)

1

43340.

Shreveport–Bossier City (LA)

5

42140.

Santa Fe (NM)

1

10740.

Albuquerque (NM)

5

47300.

Visalia–Porterville (CA)

2

13020.

Bay City (MI)

1

26420.

Houston–Baytown–Sugar Land (TX)

38

24500.

Great Falls (MT)

1

17780.

College Station–Bryan (TX)

1

14860.

Bridgeport–Stamford–Norwalk (CT)

8

25260.

Hanford–Corcoran (CA)

1

20500.

Durham (NC)

5

33460.

Minneapolis–St. Paul–Bloomington (MN, WI)

36

48620.

Wichita (KS)

8

34980.

Nashville–Davidson–Murfreesboro (TN)

11

11020.

Altoona (PA)

1

48900.

Wilmington (NC)

6

29340.

Lake Charles (LA)

0

43620.

Sioux Falls (SD)

3

19380.

Dayton (OH)

12

19180.

Danville (IL)

1

29620.

Lansing–East Lansing (MI)

5

16580.

Champaign–Urbana (IL)

3

22520.

Florence–Muscle Shoals (AL)

0

12620.

Bangor (ME)

4

47940.

Waterloo–Cedar Falls (IA)

0

39380.

Pueblo (CO)

0

31340.

Lynchburg (VA)

1

99999.

None or unavailable

576

37700.

Pascagoula (MS)

2

40220.

Roanoke (VA)

6

44220.

Springfield (OH)

1

31540.

Madison (WI)

10

17460.

Cleveland–Elyria–Mentor (OH)

15

11700.

Asheville (NC)

11

13380.

Bellingham (WA)

2

47220.

Vineland–Milville–Bridgeton (NJ)

1

46940.

Vero Beach (FL)

1

16980.

Chicago–Naperville–Joilet (IL, IN, WI)

66

25500.

Harrisonburg (VA)

3

33700.

Modesto (CA)

7

22660.

Fort Collins–Loveland (CO)

6

12700.

Barnstable Town (MA)

3

39540.

Racine (WI)

1

19500.

Decatur (IL)

0

11180.

Ames (IA)

0

40660.

Rome (GA)

2

40380.

Rochester (NY)

11

21060.

Elizabethtown (KY)

1

31020.

Longview–Kelso (WA)

1

29940.

Lawrence (KS)

0

49420.

Yakima (WA)

3

34900.

Napa (CA)

2

26380.

Houma–Bayou Cane–Thibodaux (LA)

2

34740.

Muskegon–Norton Shores (MI)

1

27260.

Jacksonville (FL)

14

26620.

Huntsville (AL)

5

46700.

Vallejo–Fairfield (CA)

1

22900.

Fort Smith (AR, OK)

2

16740.

Charlotte–Gastonia–Concord (NC, SC)

15

37980.

Philadelphia–Camden–Wilmington (DE, MD, NJ, PA)

76

36540.

Omaha–Council Bluffs (IA, NE)

10

47580.

Warner Robins (GA)

0

12540.

Bakersfield (CA)

4

24140.

Goldsboro (NC)

2

21140.

Elkhart–Goshen (IN)

0

24300.

Grand Junction (CO)

1

41100.

St. George (UT)

2

39100.

Poughkeepsie–Newburgh–Middletown (NY)

10

37620.

Parkersburg–Marietta (OH, WV)

2

31900.

Mansfield (OH)

0

45940.

Trenton–Ewing (NJ)

2

30860.

Logan (ID, UT)

1

46540.

Utica–Rome (NY)

2

38940.

Port St. Lucie–Fort Pierce (FL)

2

42340.

Savannah (GA)

0

25420.

Harrisburg–Carlisle (PA)

5

49180.

Winston–Salem (NC)

2

19780.

Des Moines (IA)

9

45220.

Tallahassee (FL)

5

46140.

Tulsa (OK)

10

40140.

Riverside–San Bernardino–Ontario (CA)

24

31700.

Manchester–Nashua (NH)

3

41740.

San Diego–Carlsbad–San Marcos (CA)

27

10420.

Akron (OH)

10

44100.

Springfield (IL)

2

15540.

Burlington–South Burlington (VT)

2

37900.

Peoria (IL)

4

24860.

Greenville (SC)

8

46340.

Tyler (TX)

1

27500.

Janesville (WI)

1

30780.

Little Rock–North Little Rock (AR)

7

42100.

Santa Cruz–Watsonville (CA)

1

19740.

Denver–Aurora (CO)

19

35660.

Niles–Benton Harbor (MI)

4

44940.

Sumter (SC)

2

12060.

Atlanta–Sandy Springs–Marietta (GA)

40

33260.

Midland (TX)

0

33540.

Missoula (MT)

4

33740.

Monroe (LA)

1

49020.

Winchester (VA, WV)

1

23020.

Fort Walton Beach–Crestview–Destin (FL)

3

40580.

Rocky Mount (NC)

3

40900.

Sacramento–Arden-Arcade–Roseville (CA)

16

19460.

Decatur (AL)

3

31180.

Lubbock (TX)

2

36260.

Ogden–Clearfield (UT)

6

14980.

Bristol (VA)

1

28700.

Kingsport–Bristol (TN, VA)

3

39740.

Reading (PA)

4

10500.

Albany (GA)

1

36220.

Odessa (TX)

3

21340.

El Paso (TX)

4

27340.

Jacksonville (NC)

1

41660.

San Angelo (TX)

1

10180.

Abilene (TX)

0

29540.

Lancaster (PA)

6

41420.

Salem (OR)

4

34060.

Morgantown (WV)

0

11540.

Appleton (WI)

1

43900.

Spartanburg (SC)

2

14260.

Boise City–Nampa (ID)

4

41060.

St. Cloud (MN)

6

30020.

Lawton (OK)

2

44300.

State College (PA)

2

28020.

Kalamazoo–Portage (MI)

2

28660.

Killeen–Temple–Fort Hood (TX)

4

31140.

Louisville (IN, KY)

18

42220.

Santa Rosa–Petaluma (CA)

6

41700.

San Antonio (TX)

21

15260.

Brunswick (GA)

0

30300.

Lewiston (ID, WA)

0

40060.

Richmond (VA)

12

22140.

Farmington (NM)

1

13460.

Bend (OR)

1

46660.

Valdosta (GA)

0

17900.

Columbia (SC)

5

29820.

Las Vegas–Paradise (NV)

16

43580.

Sioux City (IA, NE, SD)

3

48660.

Wichita Falls (TX)

0

25540.

Hartford–West Hartford–East Hartford (CT)

14

16700.

Charleston–North Charleston (SC)

5

28140.

Kansas City (KS, MO)

21

13780.

Binghamton (NY)

2

34100.

Morristown (TN)

3

17140.

Cincinnati–Middletown (IN, KY, OH)

31

29700.

Laredo (TX)

1

19340.

Davenport–Moline–Rock Island (IA, IL)

8

42020.

San Luis Obispo–Paso Robles (CA)

2

36140.

Ocean City (NJ)

2

19260.

Danville (VA)

1

45780.

Toledo (OH)

4

38540.

Pocatello (ID)

2

47380.

Waco (TX)

3

20940.

El Centro (CA)

2

30140.

Lebanon (PA)

2

12940.

Baton Rouge (LA)

3

26580.

Huntington–Ashland (KY, OH, WV)

1

18580.

Corpus Christi (TX)

2

40980.

Saginaw–Saginaw Township North (MI)

2

27900.

Joplin (MO)

3

15940.

Canton–Massillon (OH)

6

41140.

St. Joseph (KS, MO)

2

24020.

Glens Falls (NY)

1

39340.

Provo–Orem (UT)

5

19060.

Cumberland (MD, WV)

2

16940.

Cheyenne (WY)

2

13140.

Beaumont–Port Arthur (TX)

4

26100.

Holland–Grand Haven (MI)

3

39580.

Raleigh–Cary (NC)

5

15380.

Buffalo–Cheektowaga–Tonawanda (NY)

16

23060.

Fort Wayne (IN)

8

17300.

Clarksville (KY, TN)

7

49660.

Youngstown–Warren–Boardman (OH, PA)

7

39820.

Redding (CA)

1

12100.

Atlantic City (NJ)

2

16220.

Casper (WY)

1

17660.

Coeur D’Alene (ID)

0

42060.

Santa Barbara–Santa Maria–Goleta (CA)

2

11340.

Anderson (SC)

0

20020.

Dothan (AL)

0

12980.

Battle Creek (MI)

1

11460.

Ann Arbor (MI)

7

40420.

Rockford (IL)

5

38860.

Portland–South Portland (ME)

11

36500.

Olympia (WA)

1

42660.

Seattle–Tacoma–Bellevue (WA)

29

26300.

Hot Springs (AR)

1

39300.

Providence–New Bedford–Fall River (MA, RI)

12

15500.

Burlington (NC)

0

35980.

Norwich–New London (CT)

5

10580.

Albany–Schenectady–Troy (NY)

13

12260.

Augusta–Richmond County (GA, SC)

4

47260.

Virginia Beach–Norfolk–Newport News (NC, VA)

13

16820.

Charlottesville (VA)

2

14060.

Bloomington–Normal (IL)

2

28100.

Kankakee–Bradley (IL)

0

38900.

Portland–Vancouver–Beaverton (OR, WA)

31

27180.

Jackson (TN)

0

38340.

Pittsfield (MA)

3

47900.

Washington–Arlington–Alexandria (DC, MD, VA, WV)

51

22420.

Flint (MI)

4

33140.

Michigan City–La Porte (IN)

2

13900.

Bismarck (ND)

3

41620.

Salt Lake City (UT)

14

44060.

Spokane (WA)

3

46220.

Tuscaloosa (AL)

5

Variable Format: numeric

Notes: UNF:5:g5etntXPXBEhvvli2UxMxQ==

County

f2529474 Location:

Value

Label

Frequency

Text

46045.

Edmunds County, SD

0

28039.

George County, MS

0

37187.

Washington County, NC

0

20019.

Chautauqua County, KS

0

48425.

Somervell County, TX

0

54029.

Hancock County, WV

0

17103.

Lee County, IL

0

1035.

Conecuh County, AL

0

22123.

West Carroll Parish, LA

0

29171.

Putnam County, MO

0

20191.

Sumner County, KS

0

48321.

Matagorda County, TX

0

12037.

Franklin County, FL

0

42037.

Columbia County, PA

0

12027.

DeSoto County, FL

0

1063.

Greene County, AL

0

55009.

Brown County, WI

0

19101.

Jefferson County, IA

0

33003.

Carroll County, NH

0

45005.

Allendale County, SC

0

22055.

Lafayette Parish, LA

0

8005.

Arapahoe County, CO

0

1061.

Geneva County, AL

0

26079.

Kalkaska County, MI

0

20141.

Osborne County, KS

0

25013.

Hampden County, MA

0

27045.

Fillmore County, MN

0

36061.

New York County, NY

0

17025.

Clay County, IL

0

48097.

Cooke County, TX

0

13095.

Dougherty County, GA

0

38021.

Dickey County, ND

0

1125.

Tuscaloosa County, AL

0

47077.

Henderson County, TN

0

48047.

Brooks County, TX

0

47175.

Van Buren County, TN

0

34007.

Camden County, NJ

0

8097.

Pitkin County, CO

0

27111.

Otter Tail County, MN

0

46019.

Butte County, SD

0

48245.

Jefferson County, TX

0

19011.

Benton County, IA

0

1105.

Perry County, AL

0

8003.

Alamosa County, CO

0

48231.

Hunt County, TX

0

21031.

Butler County, KY

0

12047.

Hamilton County, FL

0

51109.

Louisa County, VA

0

37127.

Nash County, NC

0

6021.

Glenn County, CA

0

48167.

Galveston County, TX

0

28107.

Panola County, MS

0

19117.

Lucas County, IA

0

17069.

Hardin County, IL

0

21149.

McLean County, KY

0

55059.

Kenosha County, WI

0

27159.

Wadena County, MN

0

17019.

Champaign County, IL

0

25021.

Norfolk County, MA

0

39047.

Fayette County, OH

0

31039.

Cuming County, NE

0

39141.

Ross County, OH

0

41067.

Washington County, OR

0

16043.

Fremont County, ID

0

17005.

Bond County, IL

0

39111.

Monroe County, OH

0

21153.

Magoffin County, KY

0

37035.

Catawba County, NC

0

37097.

Iredell County, NC

0

55141.

Wood County, WI

0

32027.

Pershing County, NV

0

13125.

Glascock County, GA

0

45071.

Newberry County, SC

0

17135.

Montgomery County, IL

0

20037.

Crawford County, KS

0

20055.

Finney County, KS

0

27163.

Washington County, MN

0

45051.

Horry County, SC

0

34035.

Somerset County, NJ

0

23013.

Knox County, ME

0

18063.

Hendricks County, IN

0

48035.

Bosque County, TX

0

22047.

Iberville Parish, LA

0

22111.

Union Parish, LA

0

13077.

Coweta County, GA

0

48009.

Archer County, TX

0

29161.

Phelps County, MO

0

11001.

District of Columbia, DC

0

51770.

Roanoke city, VA

0

30055.

McCone County, MT

0

48085.

Collin County, TX

0

50025.

Windham County, VT

0

13063.

Clayton County, GA

0

13273.

Terrell County, GA

0

48179.

Gray County, TX

0

48117.

Deaf Smith County, TX

0

36065.

Oneida County, NY

0

35061.

Valencia County, NM

0

26113.

Missaukee County, MI

0

42117.

Tioga County, PA

0

48463.

Uvalde County, TX

0

5081.

Little River County, AR

0

51175.

Southampton County, VA

0

31119.

Madison County, NE

0

51099.

King George County, VA

0

35003.

Catron County, NM

0

1083.

Limestone County, AL

0

13027.

Brooks County, GA

0

36091.

Saratoga County, NY

0

12125.

Union County, FL

0

54049.

Marion County, WV

0

56001.

Albany County, WY

0

47189.

Wilson County, TN

0

33015.

Rockingham County, NH

0

19035.

Cherokee County, IA

0

13299.

Ware County, GA

0

6055.

Napa County, CA

0

48091.

Comal County, TX

0

37147.

Pitt County, NC

0

48193.

Hamilton County, TX

0

55047.

Green Lake County, WI

0

19161.

Sac County, IA

0

48065.

Carson County, TX

0

48013.

Atascosa County, TX

0

51133.

Northumberland County, VA

0

37087.

Haywood County, NC

0

21133.

Letcher County, KY

0

13245.

Richmond County, GA

0

46105.

Perkins County, SD

0

19187.

Webster County, IA

0

39123.

Ottawa County, OH

0

17013.

Calhoun County, IL

0

48023.

Baylor County, TX

0

48143.

Erath County, TX

0

51035.

Carroll County, VA

0

13295.

Walker County, GA

0

13065.

Clinch County, GA

0

45083.

Spartanburg County, SC

0

49053.

Washington County, UT

0

5067.

Jackson County, AR

0

27071.

Koochiching County, MN

0

28059.

Jackson County, MS

0

51735.

Poquoson city, VA

0

13319.

Wilkinson County, GA

0

48041.

Brazos County, TX

0

23027.

Waldo County, ME

0

28099.

Neshoba County, MS

0

1127.

Walker County, AL

0

51595.

Emporia city, VA

0

22033.

East Baton Rouge Parish, LA

0

42127.

Wayne County, PA

0

19193.

Woodbury County, IA

0

40045.

Ellis County, OK

0

48195.

Hansford County, TX

0

51021.

Bland County, VA

0

6005.

Amador County, CA

0

29127.

Marion County, MO

0

21081.

Grant County, KY

0

46055.

Haakon County, SD

0

20079.

Harvey County, KS

0

39159.

Union County, OH

0

30091.

Sheridan County, MT

0

17053.

Ford County, IL

0

34011.

Cumberland County, NJ

0

48089.

Colorado County, TX

0

29057.

Dade County, MO

0

48491.

Williamson County, TX

0

26087.

Lapeer County, MI

0

37051.

Cumberland County, NC

0

42131.

Wyoming County, PA

0

21095.

Harlan County, KY

0

47169.

Trousdale County, TN

0

28001.

Adams County, MS

0

48007.

Aransas County, TX

0

29093.

Iron County, MO

0

13085.

Dawson County, GA

0

42001.

Adams County, PA

0

16065.

Madison County, ID

0

51161.

Roanoke County, VA

0

18077.

Jefferson County, IN

0

22059.

La Salle Parish, LA

0

30081.

Ravalli County, MT

0

17125.

Mason County, IL

0

19133.

Monona County, IA

0

26043.

Dickinson County, MI

0

36045.

Jefferson County, NY

0

34031.

Passaic County, NJ

0

40141.

Tillman County, OK

0

6027.

Inyo County, CA

0

51193.

Westmoreland County, VA

0

21067.

Fayette County, KY

0

50001.

Addison County, VT

0

20115.

Marion County, KS

0

49019.

Grand County, UT

0

13011.

Banks County, GA

0

55093.

Pierce County, WI

0

18109.

Morgan County, IN

0

27129.

Renville County, MN

0

13167.

Johnson County, GA

0

51067.

Franklin County, VA

0

32023.

Nye County, NV

0

29510.

St. Louis city, MO

0

1023.

Choctaw County, AL

0

48129.

Donley County, TX

0

17015.

Carroll County, IL

0

31071.

Garfield County, NE

0

31037.

Colfax County, NE

0

46093.

Meade County, SD

0

40097.

Mayes County, OK

0

26071.

Iron County, MI

0

29105.

Laclede County, MO

0

36049.

Lewis County, NY

0

22119.

Webster Parish, LA

0

29073.

Gasconade County, MO

0

18033.

DeKalb County, IN

0

13311.

White County, GA

0

48483.

Wheeler County, TX

0

53011.

Clark County, WA

0

18019.

Clark County, IN

0

13133.

Greene County, GA

0

26039.

Crawford County, MI

0

20015.

Butler County, KS

0

17027.

Clinton County, IL

0

49013.

Duchesne County, UT

0

29217.

Vernon County, MO

0

29115.

Linn County, MO

0

6103.

Tehama County, CA

0

51077.

Grayson County, VA

0

13091.

Dodge County, GA

0

42113.

Sullivan County, PA

0

47185.

White County, TN

0

51177.

Spotsylvania County, VA

0

48185.

Grimes County, TX

0

38093.

Stutsman County, ND

0

32017.

Lincoln County, NV

0

8039.

Elbert County, CO

0

13191.

McIntosh County, GA

0

27043.

Faribault County, MN

0

38041.

Hettinger County, ND

0

30101.

Toole County, MT

0

55101.

Racine County, WI

0

48473.

Waller County, TX

0

45037.

Edgefield County, SC

0

30107.

Wheatland County, MT

0

21159.

Martin County, KY

0

55123.

Vernon County, WI

0

27101.

Murray County, MN

0

28025.

Clay County, MS

0

1071.

Jackson County, AL

0

18025.

Crawford County, IN

0

13129.

Gordon County, GA

0

18181.

White County, IN

0

13057.

Cherokee County, GA

0

47091.

Johnson County, TN

0

21037.

Campbell County, KY

0

13215.

Muscogee County, GA

0

36099.

Seneca County, NY

0

5089.

Marion County, AR

0

16041.

Franklin County, ID

0

8123.

Weld County, CO

0

17195.

Whiteside County, IL

0

21227.

Warren County, KY

0

26161.

Washtenaw County, MI

0

36097.

Schuyler County, NY

0

27103.

Nicollet County, MN

0

24510.

Baltimore city, MD

0

12075.

Levy County, FL

0

18037.

Dubois County, IN

0

35011.

De Baca County, NM

0

48069.

Castro County, TX

0

29189.

St. Louis County, MO

0

4019.

Pima County, AZ

0

41059.

Umatilla County, OR

0

1021.

Chilton County, AL

0

18069.

Huntington County, IN

0

47151.

Scott County, TN

0

5047.

Franklin County, AR

0

13093.

Dooly County, GA

0

55005.

Barron County, WI

0

8051.

Gunnison County, CO

0

5023.

Cleburne County, AR

0

40101.

Muskogee County, OK

0

8073.

Lincoln County, CO

0

29159.

Pettis County, MO

0

48477.

Washington County, TX

0

35007.

Colfax County, NM

0

6085.

Santa Clara County, CA

0

6099.

Stanislaus County, CA

0

20077.

Harper County, KS

0

8011.

Bent County, CO

0

1007.

Bibb County, AL

0

49017.

Garfield County, UT

0

24019.

Dorchester County, MD

0

18023.

Clinton County, IN

0

48123.

DeWitt County, TX

0

6041.

Marin County, CA

0

53043.

Lincoln County, WA

0

5009.

Boone County, AR

0

5101.

Newton County, AR

0

48399.

Runnels County, TX

0

44009.

Washington County, RI

0

46113.

Shannon County, SD

0

1059.

Franklin County, AL

0

36033.

Franklin County, NY

0

22081.

Red River Parish, LA

0

48131.

Duval County, TX

0

22125.

West Feliciana Parish, LA

0

29069.

Dunklin County, MO

0

6013.

Contra Costa County, CA

0

37117.

Martin County, NC

0

51167.

Russell County, VA

0

13139.

Hall County, GA

0

9015.

Windham County, CT

0

48371.

Pecos County, TX

0

37045.

Cleveland County, NC

0

29075.

Gentry County, MO

0

1065.

Hale County, AL

0

38047.

Logan County, ND

0

16059.

Lemhi County, ID

0

35045.

San Juan County, NM

0

42121.

Venango County, PA

0

28065.

Jefferson Davis County, MS

0

47067.

Hancock County, TN

0

13313.

Whitfield County, GA

0

36059.

Nassau County, NY

0

17131.

Mercer County, IL

0

48357.

Ochiltree County, TX

0

55057.

Juneau County, WI

0

26159.

Van Buren County, MI

0

39059.

Guernsey County, OH

0

51600.

Fairfax city, VA

0

38061.

Mountrail County, ND

0

24001.

Allegany County, MD

0

18119.

Owen County, IN

0

40077.

Latimer County, OK

0

48279.

Lamb County, TX

0

51700.

Newport News city, VA

0

38073.

Ransom County, ND

0

24017.

Charles County, MD

0

17055.

Franklin County, IL

0

47075.

Haywood County, TN

0

48333.

Mills County, TX

0

39001.

Adams County, OH

0

48239.

Jackson County, TX

0

51045.

Craig County, VA

0

39117.

Morrow County, OH

0

48063.

Camp County, TX

0

28117.

Prentiss County, MS

0

5045.

Faulkner County, AR

0

22089.

St. Charles Parish, LA

0

55127.

Walworth County, WI

0

48223.

Hopkins County, TX

0

39087.

Lawrence County, OH

0

21225.

Union County, KY

0

37007.

Anson County, NC

0

36051.

Livingston County, NY

0

26103.

Marquette County, MI

0

35017.

Grant County, NM

0

31107.

Knox County, NE

0

37189.

Watauga County, NC

0

27149.

Stevens County, MN

0

47015.

Cannon County, TN

0

30105.

Valley County, MT

0

48381.

Randall County, TX

0

20067.

Grant County, KS

0

37049.

Craven County, NC

0

13143.

Haralson County, GA

0

51121.

Montgomery County, VA

0

26117.

Montcalm County, MI

0

12019.

Clay County, FL

0

19047.

Crawford County, IA

0

17011.

Bureau County, IL

0

5131.

Sebastian County, AR

0

18085.

Kosciusko County, IN

0

17141.

Ogle County, IL

0

48095.

Concho County, TX

0

37155.

Robeson County, NC

0

19177.

Van Buren County, IA

0

19023.

Butler County, IA

0

26023.

Branch County, MI

0

48429.

Stephens County, TX

0

13069.

Coffee County, GA

0

19021.

Buena Vista County, IA

0

5139.

Union County, AR

0

47163.

Sullivan County, TN

0

8033.

Dolores County, CO

0

39129.

Pickaway County, OH

0

55099.

Price County, WI

0

13181.

Lincoln County, GA

0

18067.

Howard County, IN

0

21073.

Franklin County, KY

0

54089.

Summers County, WV

0

12039.

Gadsden County, FL

0

48087.

Collingsworth County, TX

0

36075.

Oswego County, NY

0

51019.

Bedford County, VA

0

13001.

Appling County, GA

0

40117.

Pawnee County, OK

0

37011.

Avery County, NC

0

8013.

Boulder County, CO

0

6113.

Yolo County, CA

0

48503.

Young County, TX

0

51155.

Pulaski County, VA

0

31185.

York County, NE

0

36009.

Cattaraugus County, NY

0

17093.

Kendall County, IL

0

26059.

Hillsdale County, MI

0

53047.

Okanogan County, WA

0

6095.

Solano County, CA

0

23015.

Lincoln County, ME

0

51087.

Henrico County, VA

0

55019.

Clark County, WI

0

54033.

Harrison County, WV

0

42025.

Carbon County, PA

0

21157.

Marshall County, KY

0

1087.

Macon County, AL

0

36023.

Cortland County, NY

0

20051.

Ellis County, KS

0

20107.

Linn County, KS

0

48135.

Ector County, TX

0

17203.

Woodford County, IL

0

18093.

Lawrence County, IN

0

38077.

Richland County, ND

0

41047.

Marion County, OR

0

31165.

Sioux County, NE

0

36071.

Orange County, NY

0

19099.

Jasper County, IA

0

37065.

Edgecombe County, NC

0

48067.

Cass County, TX

0

33011.

Hillsborough County, NH

0

28103.

Noxubee County, MS

0

48027.

Bell County, TX

0

17121.

Marion County, IL

0

55103.

Richland County, WI

0

42017.

Bucks County, PA

0

36103.

Suffolk County, NY

0

18059.

Hancock County, IN

0

26063.

Huron County, MI

0

40081.

Lincoln County, OK

0

21205.

Rowan County, KY

0

21093.

Hardin County, KY

0

29003.

Andrew County, MO

0

38001.

Adams County, ND

0

37149.

Polk County, NC

0

9007.

Middlesex County, CT

0

21099.

Hart County, KY

0

19073.

Greene County, IA

0

13269.

Taylor County, GA

0

25003.

Berkshire County, MA

0

19081.

Hancock County, IA

0

31035.

Clay County, NE

0

51139.

Page County, VA

0

28017.

Chickasaw County, MS

0

48401.

Rusk County, TX

0

28157.

Wilkinson County, MS

0

37109.

Lincoln County, NC

0

45039.

Fairfield County, SC

0

29019.

Boone County, MO

0

5095.

Monroe County, AR

0

8014.

Broomfield County, CO

0

34025.

Monmouth County, NJ

0

28121.

Rankin County, MS

0

22007.

Assumption Parish, LA

0

17077.

Jackson County, IL

0

20105.

Lincoln County, KS

0

29219.

Warren County, MO

0

39165.

Warren County, OH

0

21013.

Bell County, KY

0

8125.

Yuma County, CO

0

48489.

Willacy County, TX

0

39053.

Gallia County, OH

0

48403.

Sabine County, TX

0

48421.

Sherman County, TX

0

18097.

Marion County, IN

0

50003.

Bennington County, VT

0

28073.

Lamar County, MS

0

12021.

Collier County, FL

0

27161.

Waseca County, MN

0

6025.

Imperial County, CA

0

54027.

Hampshire County, WV

0

42007.

Beaver County, PA

0

29125.

Maries County, MO

0

17179.

Tazewell County, IL

0

29081.

Harrison County, MO

0

51790.

Staunton city, VA

0

38079.

Rolette County, ND

0

5007.

Benton County, AR

0

50013.

Grand Isle County, VT

0

18005.

Bartholomew County, IN

0

48291.

Liberty County, TX

0

17153.

Pulaski County, IL

0

40029.

Coal County, OK

0

29123.

Madison County, MO

0

48499.

Wood County, TX

0

32033.

White Pine County, NV

0

17067.

Hancock County, IL

0

21239.

Woodford County, KY

0

44001.

Bristol County, RI

0

21183.

Ohio County, KY

0

39109.

Miami County, OH

0

40133.

Seminole County, OK

0

21115.

Johnson County, KY

0

17139.

Moultrie County, IL

0

48025.

Bee County, TX

0

47133.

Overton County, TN

0

38051.

McIntosh County, ND

0

1075.

Lamar County, AL

0

49057.

Weber County, UT

0

12031.

Duval County, FL

0

5029.

Conway County, AR

0

37021.

Buncombe County, NC

0

51051.

Dickenson County, VA

0

55079.

Milwaukee County, WI

0

20063.

Gove County, KS

0

39035.

Cuyahoga County, OH

0

40041.

Delaware County, OK

0

6077.

San Joaquin County, CA

0

42029.

Chester County, PA

0

20135.

Ness County, KS

0

13285.

Troup County, GA

0

27067.

Kandiyohi County, MN

0

20059.

Franklin County, KS

0

13275.

Thomas County, GA

0

1073.

Jefferson County, AL

0

40085.

Love County, OK

0

46053.

Gregory County, SD

0

13075.

Cook County, GA

0

17167.

Sangamon County, IL

0

35029.

Luna County, NM

0

13163.

Jefferson County, GA

0

32021.

Mineral County, NV

0

46047.

Fall River County, SD

0

39025.

Clermont County, OH

0

31095.

Jefferson County, NE

0

37005.

Alleghany County, NC

0

47119.

Maury County, TN

0

39043.

Erie County, OH

0

42059.

Greene County, PA

0

53017.

Douglas County, WA

0

18159.

Tipton County, IN

0

24039.

Somerset County, MD

0

21061.

Edmonson County, KY

0

42087.

Mifflin County, PA

0

36043.

Herkimer County, NY

0

48363.

Palo Pinto County, TX

0

53005.

Benton County, WA

0

46137.

Ziebach County, SD

0

17071.

Henderson County, IL

0

37041.

Chowan County, NC

0

55109.

St. Croix County, WI

0

21101.

Henderson County, KY

0

51187.

Warren County, VA

0

48423.

Smith County, TX

0

40153.

Woodward County, OK

0

16019.

Bonneville County, ID

0

56043.

Washakie County, WY

0

12127.

Volusia County, FL

0

18131.

Pulaski County, IN

0

8029.

Delta County, CO

0

18103.

Miami County, IN

0

45065.

McCormick County, SC

0

17095.

Knox County, IL

0

48141.

El Paso County, TX

0

48457.

Tyler County, TX

0

48017.

Bailey County, TX

0

48257.

Kaufman County, TX

0

6079.

San Luis Obispo County, CA

0

1113.

Russell County, AL

0

17183.

Vermilion County, IL

0

24035.

Queen Anne’s County, MD

0

18173.

Warrick County, IN

0

46027.

Clay County, SD

0

1129.

Washington County, AL

0

34023.

Middlesex County, NJ

0

48437.

Swisher County, TX

0

21009.

Barren County, KY

0

55139.

Winnebago County, WI

0

19017.

Bremer County, IA

0

8099.

Prowers County, CO

0

38009.

Bottineau County, ND

0

13173.

Lanier County, GA

0

21011.

Bath County, KY

0

16029.

Caribou County, ID

0

51033.

Caroline County, VA

0

16001.

Ada County, ID

0

26135.

Oscoda County, MI

0

49049.

Utah County, UT

0

55037.

Florence County, WI

0

51820.

Waynesboro city, VA

0

48149.

Fayette County, TX

0

8059.

Jefferson County, CO

0

6051.

Mono County, CA

0

29001.

Adair County, MO

0

4012.

La Paz County, AZ

0

32001.

Churchill County, NV

0

37137.

Pamlico County, NC

0

6049.

Modoc County, CA

0

26147.

St. Clair County, MI

0

37191.

Wayne County, NC

0

48335.

Mitchell County, TX

0

39173.

Wood County, OH

0

24011.

Caroline County, MD

0

29021.

Buchanan County, MO

0

1037.

Coosa County, AL

0

13131.

Grady County, GA

0

29223.

Wayne County, MO

0

18075.

Jay County, IN

0

13183.

Long County, GA

0

37003.

Alexander County, NC

0

49027.

Millard County, UT

0

26033.

Chippewa County, MI

0

13281.

Towns County, GA

0

53031.

Jefferson County, WA

0

19003.

Adams County, IA

0

6039.

Madera County, CA

0

39051.

Fulton County, OH

0

4011.

Greenlee County, AZ

0

29157.

Perry County, MO

0

41065.

Wasco County, OR

0

30001.

Beaverhead County, MT

0

20111.

Lyon County, KS

0

47157.

Shelby County, TN

0

51061.

Fauquier County, VA

0

56027.

Niobrara County, WY

0

27003.

Anoka County, MN

0

45003.

Aiken County, SC

0

22015.

Bossier Parish, LA

0

37103.

Jones County, NC

0

20027.

Clay County, KS

0

23019.

Penobscot County, ME

0

36063.

Niagara County, NY

0

28133.

Sunflower County, MS

0

28145.

Union County, MS

0

48175.

Goliad County, TX

0

19031.

Cedar County, IA

0

38089.

Stark County, ND

0

39073.

Hocking County, OH

0

17105.

Livingston County, IL

0

46127.

Union County, SD

0

6003.

Alpine County, CA

0

37009.

Ashe County, NC

0

6009.

Calaveras County, CA

0

47101.

Lewis County, TN

0

26157.

Tuscola County, MI

0

55077.

Marquette County, WI

0

37013.

Beaufort County, NC

0

20113.

McPherson County, KS

0

28093.

Marshall County, MS

0

20097.

Kiowa County, KS

0

48275.

Knox County, TX

0

26073.

Isabella County, MI

0

29203.

Shannon County, MO

0

55003.

Ashland County, WI

0

6057.

Nevada County, CA

0

21121.

Knox County, KY

0

18167.

Vigo County, IN

0

22041.

Franklin Parish, LA

0

8117.

Summit County, CO

0

20085.

Jackson County, KS

0

28057.

Itawamba County, MS

0

39019.

Carroll County, OH

0

27079.

Le Sueur County, MN

0

31141.

Platte County, NE

0

12091.

Okaloosa County, FL

0

20061.

Geary County, KS

0

51143.

Pittsylvania County, VA

0

27041.

Douglas County, MN

0

48159.

Franklin County, TX

0

29011.

Barton County, MO

0

40139.

Texas County, OK

0

26005.

Allegan County, MI

0

5073.

Lafayette County, AR

0

23023.

Sagadahoc County, ME

0

35009.

Curry County, NM

0

51079.

Greene County, VA

0

21181.

Nicholas County, KY

0

29085.

Hickory County, MO

0

46135.

Yankton County, SD

0

13271.

Telfair County, GA

0

17193.

White County, IL

0

51001.

Accomack County, VA

0

25005.

Bristol County, MA

0

12089.

Nassau County, FL

0

28105.

Oktibbeha County, MS

0

12101.

Pasco County, FL

0

22025.

Catahoula Parish, LA

0

48005.

Angelina County, TX

0

37123.

Montgomery County, NC

0

48247.

Jim Hogg County, TX

0

21035.

Calloway County, KY

0

42115.

Susquehanna County, PA

0

39175.

Wyandot County, OH

0

27081.

Lincoln County, MN

0

48061.

Cameron County, TX

0

27091.

Martin County, MN

0

6107.

Tulare County, CA

0

37039.

Cherokee County, NC

0

19195.

Worth County, IA

0

48331.

Milam County, TX

0

18031.

Decatur County, IN

0

30073.

Pondera County, MT

0

18143.

Scott County, IN

0

51053.

Dinwiddie County, VA

0

13009.

Baldwin County, GA

0

27009.

Benton County, MN

0

32510.

Carson City, NV

0

47035.

Cumberland County, TN

0

4021.

Pinal County, AZ

0

48355.

Nueces County, TX

0

19121.

Madison County, IA

0

55029.

Door County, WI

0

47105.

Loudon County, TN

0

32007.

Elko County, NV

0

17051.

Fayette County, IL

0

19027.

Carroll County, IA

0

30071.

Phillips County, MT

0

48469.

Victoria County, TX

0

51520.

Bristol city, VA

0

29107.

Lafayette County, MO

0

29009.

Barry County, MO

0

21141.

Logan County, KY

0

29007.

Audrain County, MO

0

48019.

Bandera County, TX

0

54101.

Webster County, WV

0

8045.

Garfield County, CO

0

50027.

Windsor County, VT

0

37163.

Sampson County, NC

0

23005.

Cumberland County, ME

0

12131.

Walton County, FL

0

12001.

Alachua County, FL

0

56017.

Hot Springs County, WY

0

27155.

Traverse County, MN

0

45085.

Sumter County, SC

0

25009.

Essex County, MA

0

40057.

Harmon County, OK

0

54021.

Gilmer County, WV

0

27141.

Sherburne County, MN

0

27023.

Chippewa County, MN

0

5043.

Drew County, AR

0

53041.

Lewis County, WA

0

17099.

La Salle County, IL

0

12107.

Putnam County, FL

0

5051.

Garland County, AR

0

30047.

Lake County, MT

0

35031.

McKinley County, NM

0

13073.

Columbia County, GA

0

18035.

Delaware County, IN

0

8021.

Conejos County, CO

0

51141.

Patrick County, VA

0

31003.

Antelope County, NE

0

47139.

Polk County, TN

0

56035.

Sublette County, WY

0

39085.

Lake County, OH

0

28161.

Yalobusha County, MS

0

38039.

Griggs County, ND

0

30097.

Sweet Grass County, MT

0

31017.

Brown County, NE

0

55023.

Crawford County, WI

0

12055.

Highlands County, FL

0

19127.

Marshall County, IA

0

55135.

Waupaca County, WI

0

5061.

Howard County, AR

0

13083.

Dade County, GA

0

42091.

Montgomery County, PA

0

29119.

McDonald County, MO

0

31009.

Blaine County, NE

0

8047.

Gilpin County, CO

0

24029.

Kent County, MD

0

31099.

Kearney County, NE

0

48051.

Burleson County, TX

0

20185.

Stafford County, KS

0

13123.

Gilmer County, GA

0

47159.

Smith County, TN

0

8081.

Moffat County, CO

0

33005.

Cheshire County, NH

0

40095.

Marshall County, OK

0

51117.

Mecklenburg County, VA

0

22117.

Washington Parish, LA

0

13105.

Elbert County, GA

0

21167.

Mercer County, KY

0

45059.

Laurens County, SC

0

8057.

Jackson County, CO

0

37053.

Currituck County, NC

0

17189.

Washington County, IL

0

17147.

Piatt County, IL

0

26165.

Wexford County, MI

0

27127.

Redwood County, MN

0

39039.

Defiance County, OH

0

28047.

Harrison County, MS

0

18073.

Jasper County, IN

0

48093.

Comanche County, TX

0

36101.

Steuben County, NY

0

54069.

Ohio County, WV

0

22001.

Acadia Parish, LA

0

46069.

Hyde County, SD

0

30061.

Mineral County, MT

0

13161.

Jeff Davis County, GA

0

20047.

Edwards County, KS

0

28123.

Scott County, MS

0

51179.

Stafford County, VA

0

28045.

Hancock County, MS

0

56007.

Carbon County, WY

0

21185.

Oldham County, KY

0

54037.

Jefferson County, WV

0

22079.

Rapides Parish, LA

0

47137.

Pickett County, TN

0

26041.

Delta County, MI

0

17061.

Greene County, IL

0

17109.

McDonough County, IL

0

26151.

Sanilac County, MI

0

35051.

Sierra County, NM

0

26007.

Alpena County, MI

0

17155.

Putnam County, IL

0

19065.

Fayette County, IA

0

35015.

Eddy County, NM

0

8055.

Huerfano County, CO

0

29129.

Mercer County, MO

0

48283.

La Salle County, TX

0

19041.

Clay County, IA

0

21019.

Boyd County, KY

0

37023.

Burke County, NC

0

46125.

Turner County, SD

0

54099.

Wayne County, WV

0

48459.

Upshur County, TX

0

41049.

Morrow County, OR

0

16049.

Idaho County, ID

0

4005.

Coconino County, AZ

0

47117.

Marshall County, TN

0

31065.

Furnas County, NE

0

18149.

Starke County, IN

0

56003.

Big Horn County, WY

0

40011.

Blaine County, OK

0

22093.

St. James Parish, LA

0

13287.

Turner County, GA

0

51195.

Wise County, VA

0

17149.

Pike County, IL

0

29153.

Ozark County, MO

0

6033.

Lake County, CA

0

37159.

Rowan County, NC

0

20163.

Rooks County, KS

0

40065.

Jackson County, OK

0

48339.

Montgomery County, TX

0

28109.

Pearl River County, MS

0

18041.

Fayette County, IN

0

48481.

Wharton County, TX

0

29186.

Ste. Genevieve County, MO

0

19135.

Monroe County, IA

0

20189.

Stevens County, KS

0

28079.

Leake County, MS

0

41071.

Yamhill County, OR

0

13025.

Brantley County, GA

0

13293.

Upson County, GA

0

21123.

Larue County, KY

0

29197.

Schuyler County, MO

0

40109.

Oklahoma County, OK

0

49043.

Summit County, UT

0

18061.

Harrison County, IN

0

26045.

Eaton County, MI

0

31049.

Deuel County, NE

0

26101.

Manistee County, MI

0

13233.

Polk County, GA

0

26125.

Oakland County, MI

0

19147.

Palo Alto County, IA

0

5027.

Columbia County, AR

0

20021.

Cherokee County, KS

0

17087.

Johnson County, IL

0

22107.

Tensas Parish, LA

0

55027.

Dodge County, WI

0

16047.

Gooding County, ID

0

22051.

Jefferson Parish, LA

0

12123.

Taylor County, FL

0

36119.

Westchester County, NY

0

46067.

Hutchinson County, SD

0

13291.

Union County, GA

0

5137.

Stone County, AR

0

28005.

Amite County, MS

0

29083.

Henry County, MO

0

47005.

Benton County, TN

0

54095.

Tyler County, WV

0

41061.

Union County, OR

0

48391.

Refugio County, TX

0

29063.

DeKalb County, MO

0

21097.

Harrison County, KY

0

37043.

Clay County, NC

0

48329.

Midland County, TX

0

51069.

Frederick County, VA

0

21135.

Lewis County, KY

0

22011.

Beauregard Parish, LA

0

13267.

Tattnall County, GA

0

13157.

Jackson County, GA

0

19029.

Cass County, IA

0

39119.

Muskingum County, OH

0

54053.

Mason County, WV

0

47097.

Lauderdale County, TN

0

30023.

Deer Lodge County, MT

0

54009.

Brooke County, WV

0

54091.

Taylor County, WV

0

42119.

Union County, PA

0

17083.

Jersey County, IL

0

13135.

Gwinnett County, GA

0

31053.

Dodge County, NE

0

55117.

Sheboygan County, WI

0

48003.

Andrews County, TX

0

19125.

Marion County, IA

0

34041.

Warren County, NJ

0

48337.

Montague County, TX

0

21001.

Adair County, KY

0

48277.

Lamar County, TX

0

13087.

Decatur County, GA

0

5005.

Baxter County, AR

0

26089.

Leelanau County, MI

0

27061.

Itasca County, MN

0

31179.

Wayne County, NE

0

41009.

Columbia County, OR

0

1111.

Randolph County, AL

0

5149.

Yell County, AR

0

26055.

Grand Traverse County, MI

0

13155.

Irwin County, GA

0

6035.

Lassen County, CA

0

29013.

Bates County, MO

0

5055.

Greene County, AR

0

19069.

Franklin County, IA

0

17001.

Adams County, IL

0

36039.

Greene County, NY

0

19165.

Shelby County, IA

0

21027.

Breckinridge County, KY

0

41005.

Clackamas County, OR

0

16061.

Lewis County, ID

0

18017.

Cass County, IN

0

45081.

Saluda County, SC

0

8075.

Logan County, CO

0

8009.

Baca County, CO

0

17041.

Douglas County, IL

0

31133.

Pawnee County, NE

0

12121.

Suwannee County, FL

0

51775.

Salem city, VA

0

51115.

Mathews County, VA

0

21179.

Nelson County, KY

0

19169.

Story County, IA

0

13305.

Wayne County, GA

0

26003.

Alger County, MI

0

48449.

Titus County, TX

0

19093.

Ida County, IA

0

5141.

Van Buren County, AR

0

36093.

Schenectady County, NY

0

31097.

Johnson County, NE

0

1099.

Monroe County, AL

0

39049.

Franklin County, OH

0

19015.

Boone County, IA

0

48209.

Hays County, TX

0

19191.

Winneshiek County, IA

0

51095.

James City County, VA

0

30053.

Lincoln County, MT

0

29041.

Chariton County, MO

0

45073.

Oconee County, SC

0

29023.

Butler County, MO

0

19007.

Appanoose County, IA

0

50011.

Franklin County, VT

0

48113.

Dallas County, TX

0

48073.

Cherokee County, TX

0

18163.

Vanderburgh County, IN

0

21029.

Bullitt County, KY

0

17031.

Cook County, IL

0

13153.

Houston County, GA

0

50017.

Orange County, VT

0

29133.

Mississippi County, MO

0

28071.

Lafayette County, MS

0

56023.

Lincoln County, WY

0

34009.

Cape May County, NJ

0

28101.

Newton County, MS

0

26163.

Wayne County, MI

0

54109.

Wyoming County, WV

0

18027.

Daviess County, IN

0

19179.

Wapello County, IA

0

21091.

Hancock County, KY

0

24041.

Talbot County, MD

0

39041.

Delaware County, OH

0

45049.

Hampton County, SC

0

24003.

Anne Arundel County, MD

0

8119.

Teller County, CO

0

21125.

Laurel County, KY

0

18153.

Sullivan County, IN

0

18177.

Wayne County, IN

0

19075.

Grundy County, IA

0

55119.

Taylor County, WI

0

40037.

Creek County, OK

0

48071.

Chambers County, TX

0

54057.

Mineral County, WV

0

32003.

Clark County, NV

0

40089.

McCurtain County, OK

0

20205.

Wilson County, KS

0

13103.

Effingham County, GA

0

31137.

Phelps County, NE

0

29207.

Stoddard County, MO

0

17039.

De Witt County, IL

0

54005.

Boone County, WV

0

35005.

Chaves County, NM

0

51025.

Brunswick County, VA

0

40087.

McClain County, OK

0

22045.

Iberia Parish, LA

0

35057.

Torrance County, NM

0

17187.

Warren County, IL

0

48011.

Armstrong County, TX

0

13171.

Lamar County, GA

0

39011.

Auglaize County, OH

0

54019.

Fayette County, WV

0

37129.

New Hanover County, NC

0

17007.

Boone County, IL

0

8069.

Larimer County, CO

0

21007.

Ballard County, KY

0

20099.

Labette County, KS

0

48313.

Madison County, TX

0

51183.

Sussex County, VA

0

19173.

Taylor County, IA

0

48199.

Hardin County, TX

0

40061.

Haskell County, OK

0

1015.

Calhoun County, AL

0

24025.

Harford County, MD

0

20003.

Anderson County, KS

0

36117.

Wayne County, NY

0

18095.

Madison County, IN

0

47155.

Sevier County, TN

0

19153.

Polk County, IA

0

36013.

Chautauqua County, NY

0

20039.

Decatur County, KS

0

21209.

Scott County, KY

0

42077.

Lehigh County, PA

0

5035.

Crittenden County, AR

0

6017.

El Dorado County, CA

0

47007.

Bledsoe County, TN

0

1117.

Shelby County, AL

0

48177.

Gonzales County, TX

0

40127.

Pushmataha County, OK

0

39037.

Darke County, OH

0

34033.

Salem County, NJ

0

1067.

Henry County, AL

0

18107.

Montgomery County, IN

0

13071.

Colquitt County, GA

0

40027.

Cleveland County, OK

0

48305.

Lynn County, TX

0

13141.

Hancock County, GA

0

5049.

Fulton County, AR

0

5013.

Calhoun County, AR

0

26085.

Lake County, MI

0

45069.

Marlboro County, SC

0

46011.

Brookings County, SD

0

13117.

Forsyth County, GA

0

5039.

Dallas County, AR

0

21079.

Garrard County, KY

0

21049.

Clark County, KY

0

22103.

St. Tammany Parish, LA

0

17075.

Iroquois County, IL

0

26095.

Luce County, MI

0

21077.

Gallatin County, KY

0

21023.

Bracken County, KY

0

28153.

Wayne County, MS

0

6067.

Sacramento County, CA

0

21137.

Lincoln County, KY

0

39115.

Morgan County, OH

0

35019.

Guadalupe County, NM

0

31005.

Arthur County, NE

0

26057.

Gratiot County, MI

0

17029.

Coles County, IL

0

13241.

Rabun County, GA

0

40115.

Ottawa County, OK

0

45061.

Lee County, SC

0

39003.

Allen County, OH

0

48241.

Jasper County, TX

0

29071.

Franklin County, MO

0

37185.

Warren County, NC

0

5019.

Clark County, AR

0

13177.

Lee County, GA

0

6029.

Kern County, CA

0

16039.

Elmore County, ID

0

42013.

Blair County, PA

0

31109.

Lancaster County, NE

0

16075.

Payette County, ID

0

23009.

Hancock County, ME

0

55039.

Fond du Lac County, WI

0

29145.

Newton County, MO

0

27097.

Morrison County, MN

0

20087.

Jefferson County, KS

0

22005.

Ascension Parish, LA

0

29099.

Jefferson County, MO

0

50019.

Orleans County, VT

0

39005.

Ashland County, OH

0

40051.

Grady County, OK

0

45023.

Chester County, SC

0

13013.

Barrow County, GA

0

46017.

Buffalo County, SD

0

47027.

Clay County, TN

0

22027.

Claiborne Parish, LA

0

36085.

Richmond County, NY

0

18165.

Vermillion County, IN

0

27137.

St. Louis County, MN

0

12007.

Bradford County, FL

0

31089.

Holt County, NE

0

20145.

Pawnee County, KS

0

18053.

Grant County, IN

0

35021.

Harding County, NM

0

40079.

Le Flore County, OK

0

21223.

Trimble County, KY

0

36113.

Warren County, NY

0

45043.

Georgetown County, SC

0

31079.

Hall County, NE

0

31167.

Stanton County, NE

0

1101.

Montgomery County, AL

0

48055.

Caldwell County, TX

0

13247.

Rockdale County, GA

0

29141.

Morgan County, MO

0

6089.

Shasta County, CA

0

23029.

Washington County, ME

0

18047.

Franklin County, IN

0

49055.

Wayne County, UT

0

36031.

Essex County, NY

0

39015.

Brown County, OH

0

54051.

Marshall County, WV

0

13307.

Webster County, GA

0

39155.

Trumbull County, OH

0

48465.

Val Verde County, TX

0

51085.

Hanover County, VA

0

5037.

Cross County, AR

0

48221.

Hood County, TX

0

53077.

Yakima County, WA

0

48053.

Burnet County, TX

0

6011.

Colusa County, CA

0

45027.

Clarendon County, SC

0

17159.

Richland County, IL

0

30035.

Glacier County, MT

0

24033.

Prince George’s County, MD

0

21111.

Jefferson County, KY

0

48057.

Calhoun County, TX

0

39007.

Ashtabula County, OH

0

19151.

Pocahontas County, IA

0

13113.

Fayette County, GA

0

17117.

Macoupin County, IL

0

23021.

Piscataquis County, ME

0

12111.

St. Lucie County, FL

0

30111.

Yellowstone County, MT

0

40143.

Tulsa County, OK

0

40107.

Okfuskee County, OK

0

55053.

Jackson County, WI

0

20041.

Dickinson County, KS

0

48157.

Fort Bend County, TX

0

37089.

Henderson County, NC

0

19005.

Allamakee County, IA

0

46083.

Lincoln County, SD

0

6019.

Fresno County, CA

0

39093.

Lorain County, OH

0

13089.

DeKalb County, GA

0

31033.

Cheyenne County, NE

0

40151.

Woods County, OK

0

31059.

Fillmore County, NE

0

42073.

Lawrence County, PA

0

41029.

Jackson County, OR

0

42133.

York County, PA

0

18125.

Pike County, IN

0

21065.

Estill County, KY

0

39163.

Vinton County, OH

0

5123.

St. Francis County, AR

0

53071.

Walla Walla County, WA

0

26093.

Livingston County, MI

0

31111.

Lincoln County, NE

0

48119.

Delta County, TX

0

21173.

Montgomery County, KY

0

17097.

Lake County, IL

0

1055.

Etowah County, AL

0

16069.

Nez Perce County, ID

0

42099.

Perry County, PA

0

48203.

Harrison County, TX

0

30015.

Chouteau County, MT

0

22083.

Richland Parish, LA

0

30051.

Liberty County, MT

0

28027.

Coahoma County, MS

0

54031.

Hardy County, WV

0

29181.

Ripley County, MO

0

29031.

Cape Girardeau County, MO

0

19043.

Clayton County, IA

0

39143.

Sandusky County, OH

0

48285.

Lavaca County, TX

0

17017.

Cass County, IL

0

48265.

Kerr County, TX

0

38101.

Ward County, ND

0

12087.

Monroe County, FL

0

21047.

Christian County, KY

0

47135.

Perry County, TN

0

53049.

Pacific County, WA

0

21139.

Livingston County, KY

0

26035.

Clare County, MI

0

27153.

Todd County, MN

0

48161.

Freestone County, TX

0

48343.

Morris County, TX

0

20043.

Doniphan County, KS

0

16073.

Owyhee County, ID

0

27107.

Norman County, MN

0

40135.

Sequoyah County, OK

0

20023.

Cheyenne County, KS

0

12097.

Osceola County, FL

0

48267.

Kimble County, TX

0

26015.

Barry County, MI

0

28083.

Leflore County, MS

0

17033.

Crawford County, IL

0

36105.

Sullivan County, NY

0

46099.

Minnehaha County, SD

0

41053.

Polk County, OR

0

22017.

Caddo Parish, LA

0

51159.

Richmond County, VA

0

29225.

Webster County, MO

0

27169.

Winona County, MN

0

13279.

Toombs County, GA

0

18133.

Putnam County, IN

0

31173.

Thurston County, NE

0

13049.

Charlton County, GA

0

27133.

Rock County, MN

0

42005.

Armstrong County, PA

0

20207.

Woodson County, KS

0

30093.

Silver Bow County, MT

0

31121.

Merrick County, NE

0

37179.

Union County, NC

0

17175.

Stark County, IL

0

24023.

Garrett County, MD

0

51093.

Isle of Wight County, VA

0

23011.

Kennebec County, ME

0

48145.

Falls County, TX

0

45011.

Barnwell County, SC

0

53059.

Skamania County, WA

0

49037.

San Juan County, UT

0

55083.

Oconto County, WI

0

48467.

Van Zandt County, TX

0

39135.

Preble County, OH

0

28163.

Yazoo County, MS

0

56037.

Sweetwater County, WY

0

26131.

Ontonagon County, MI

0

17101.

Lawrence County, IL

0

45041.

Florence County, SC

0

30079.

Prairie County, MT

0

40049.

Garvin County, OK

0

48497.

Wise County, TX

0

55129.

Washburn County, WI

0

20169.

Saline County, KS

0

35053.

Socorro County, NM

0

37131.

Northampton County, NC

0

13315.

Wilcox County, GA

0

48077.

Clay County, TX

0

28075.

Lauderdale County, MS

0

21087.

Green County, KY

0

37031.

Carteret County, NC

0

47029.

Cocke County, TN

0

1109.

Pike County, AL

0

5087.

Madison County, AR

0

37173.

Swain County, NC

0

51730.

Petersburg city, VA

0

29095.

Jackson County, MO

0

53033.

King County, WA

0

37093.

Hoke County, NC

0

9001.

Fairfield County, CT

0

45035.

Dorchester County, SC

0

30045.

Judith Basin County, MT

0

45077.

Pickens County, SC

0

50007.

Chittenden County, VT

0

39139.

Richland County, OH

0

18049.

Fulton County, IN

0

8067.

La Plata County, CO

0

13017.

Ben Hill County, GA

0

55041.

Forest County, WI

0

26115.

Monroe County, MI

0

13175.

Laurens County, GA

0

22057.

Lafourche Parish, LA

0

42109.

Snyder County, PA

0

31081.

Hamilton County, NE

0

47143.

Rhea County, TN

0

29135.

Moniteau County, MO

0

20073.

Greenwood County, KS

0

32015.

Lander County, NV

0

19033.

Cerro Gordo County, IA

0

16009.

Benewah County, ID

0

48451.

Tom Green County, TX

0

51760.

Richmond city, VA

0

56009.

Converse County, WY

0

29079.

Grundy County, MO

0

28097.

Montgomery County, MS

0

37195.

Wilson County, NC

0

13003.

Atkinson County, GA

0

21071.

Floyd County, KY

0

35041.

Roosevelt County, NM

0

17003.

Alexander County, IL

0

28069.

Kemper County, MS

0

18039.

Elkhart County, IN

0

21103.

Henry County, KY

0

55097.

Portage County, WI

0

53065.

Stevens County, WA

0

48485.

Wichita County, TX

0

51017.

Bath County, VA

0

13137.

Habersham County, GA

0

42065.

Jefferson County, PA

0

18171.

Warren County, IN

0

37085.

Harnett County, NC

0

27119.

Polk County, MN

0

21231.

Wayne County, KY

0

40003.

Alfalfa County, OK

0

40103.

Noble County, OK

0

37165.

Scotland County, NC

0

1097.

Mobile County, AL

0

39147.

Seneca County, OH

0

1133.

Winston County, AL

0

51031.

Campbell County, VA

0

48417.

Shackelford County, TX

0

13321.

Worth County, GA

0

19055.

Delaware County, IA

0

48325.

Medina County, TX

0

49035.

Salt Lake County, UT

0

54023.

Grant County, WV

0

51083.

Halifax County, VA

0

19109.

Kossuth County, IA

0

12015.

Charlotte County, FL

0

53015.

Cowlitz County, WA

0

48263.

Kent County, TX

0

54107.

Wood County, WV

0

54047.

McDowell County, WV

0

48407.

San Jacinto County, TX

0

50023.

Washington County, VT

0

29033.

Carroll County, MO

0

38067.

Pembina County, ND

0

35049.

Santa Fe County, NM

0

4017.

Navajo County, AZ

0

16023.

Butte County, ID

0

29015.

Benton County, MO

0

27095.

Mille Lacs County, MN

0

8019.

Clear Creek County, CO

0

17169.

Schuyler County, IL

0

6115.

Yuba County, CA

0

19067.

Floyd County, IA

0

55137.

Waushara County, WI

0

41051.

Multnomah County, OR

0

12051.

Hendry County, FL

0

48281.

Lampasas County, TX

0

29179.

Reynolds County, MO

0

30031.

Gallatin County, MT

0

19145.

Page County, IA

0

6083.

Santa Barbara County, CA

0

5127.

Scott County, AR

0

45079.

Richland County, SC

0

22037.

East Feliciana Parish, LA

0

48079.

Cochran County, TX

0

54007.

Braxton County, WV

0

27131.

Rice County, MN

0

19077.

Guthrie County, IA

0

5083.

Logan County, AR

0

36007.

Broome County, NY

0

18135.

Randolph County, IN

0

31067.

Gage County, NE

0

38099.

Walsh County, ND

0

45067.

Marion County, SC

0

5125.

Saline County, AR

0

21129.

Lee County, KY

0

46079.

Lake County, SD

0

30049.

Lewis and Clark County, MT

0

47167.

Tipton County, TN

0

12013.

Calhoun County, FL

0

18147.

Spencer County, IN

0

51037.

Charlotte County, VA

0

51153.

Prince William County, VA

0

48347.

Nacogdoches County, TX

0

55091.

Pepin County, WI

0

17129.

Menard County, IL

0

22099.

St. Martin Parish, LA

0

55133.

Waukesha County, WI

0

27011.

Big Stone County, MN

0

40069.

Johnston County, OK

0

26149.

St. Joseph County, MI

0

13213.

Murray County, GA

0

20035.

Cowley County, KS

0

22013.

Bienville Parish, LA

0

55045.

Green County, WI

0

55017.

Chippewa County, WI

0

29177.

Ray County, MO

0

18055.

Greene County, IN

0

48189.

Hale County, TX

0

6071.

San Bernardino County, CA

0

55031.

Douglas County, WI

0

37171.

Surry County, NC

0

30025.

Fallon County, MT

0

55061.

Kewaunee County, WI

0

42021.

Cambria County, PA

0

55095.

Polk County, WI

0

22067.

Morehouse Parish, LA

0

40121.

Pittsburg County, OK

0

42033.

Clearfield County, PA

0

38103.

Wells County, ND

0

29167.

Polk County, MO

0

33019.

Sullivan County, NH

0

8053.

Hinsdale County, CO

0

45063.

Lexington County, SC

0

27139.

Scott County, MN

0

46003.

Aurora County, SD

0

4025.

Yavapai County, AZ

0

46103.

Pennington County, SD

0

28085.

Lincoln County, MS

0

36047.

Kings County, NY

0

28053.

Humphreys County, MS

0

36011.

Cayuga County, NY

0

20209.

Wyandotte County, KS

0

5121.

Randolph County, AR

0

51590.

Danville city, VA

0

38059.

Morton County, ND

0

35039.

Rio Arriba County, NM

0

48471.

Walker County, TX

0

24047.

Worcester County, MD

0

18009.

Blackford County, IN

0

17047.

Edwards County, IL

0

47073.

Hawkins County, TN

0

48111.

Dallam County, TX

0

37027.

Caldwell County, NC

0

21235.

Whitley County, KY

0

4003.

Cochise County, AZ

0

45029.

Colleton County, SC

0

27085.

McLeod County, MN

0

21069.

Fleming County, KY

0

26021.

Berrien County, MI

0

17191.

Wayne County, IL

0

26099.

Macomb County, MI

0

31001.

Adams County, NE

0

21109.

Jackson County, KY

0

21113.

Jessamine County, KY

0

21033.

Caldwell County, KY

0

45033.

Dillon County, SC

0

48375.

Potter County, TX

0

40111.

Okmulgee County, OK

0

26027.

Cass County, MI

0

30017.

Custer County, MT

0

21155.

Marion County, KY

0

40017.

Canadian County, OK

0

28041.

Greene County, MS

0

12041.

Gilchrist County, FL

0

48001.

Anderson County, TX

0

47025.

Claiborne County, TN

0

42053.

Forest County, PA

0

40063.

Hughes County, OK

0

46119.

Sully County, SD

0

48133.

Eastland County, TX

0

21143.

Lyon County, KY

0

24037.

St. Mary’s County, MD

0

16011.

Bingham County, ID

0

26121.

Muskegon County, MI

0

42057.

Fulton County, PA

0

23025.

Somerset County, ME

0

12129.

Wakulla County, FL

0

22105.

Tangipahoa Parish, LA

0

19083.

Hardin County, IA

0

47129.

Morgan County, TN

0

12086.

Miami-Dade County, FL

0

44003.

Kent County, RI

0

8109.

Saguache County, CO

0

48043.

Brewster County, TX

0

26029.

Charlevoix County, MI

0

25007.

Dukes County, MA

0

29027.

Callaway County, MO

0

9003.

Hartford County, CT

0

39069.

Henry County, OH

0

48255.

Karnes County, TX

0

37183.

Wake County, NC

0

51570.

Colonial Heights city, VA

0

19079.

Hamilton County, IA

0

42051.

Fayette County, PA

0

22121.

West Baton Rouge Parish, LA

0

55115.

Shawano County, WI

0

19171.

Tama County, IA

0

31019.

Buffalo County, NE

0

31153.

Sarpy County, NE

0

13047.

Catoosa County, GA

0

39103.

Medina County, OH

0

46035.

Davison County, SD

0

36005.

Bronx County, NY

0

6001.

Alameda County, CA

0

20197.

Wabaunsee County, KS

0

38019.

Cavalier County, ND

0

5071.

Johnson County, AR

0

51750.

Radford city, VA

0

13111.

Fannin County, GA

0

42045.

Delaware County, PA

0

19059.

Dickinson County, IA

0

27125.

Red Lake County, MN

0

1017.

Chambers County, AL

0

27025.

Chisago County, MN

0

19085.

Harrison County, IA

0

29201.

Scott County, MO

0

13189.

McDuffie County, GA

0

51670.

Hopewell city, VA

0

27109.

Olmsted County, MN

0

45053.

Jasper County, SC

0

42105.

Potter County, PA

0

8035.

Douglas County, CO

0

37033.

Caswell County, NC

0

21215.

Spencer County, KY

0

48395.

Robertson County, TX

0

28077.

Lawrence County, MS

0

51135.

Nottoway County, VA

0

39101.

Marion County, OH

0

42089.

Monroe County, PA

0

51690.

Martinsville city, VA

0

39137.

Putnam County, OH

0

48253.

Jones County, TX

0

37113.

Macon County, NC

0

13207.

Monroe County, GA

0

5091.

Miller County, AR

0

13127.

Glynn County, GA

0

55043.

Grant County, WI

0

33013.

Merrimack County, NH

0

48121.

Denton County, TX

0

6093.

Siskiyou County, CA

0

37107.

Lenoir County, NC

0

33007.

Coos County, NH

0

51003.

Albemarle County, VA

0

17201.

Winnebago County, IL

0

21043.

Carter County, KY

0

31157.

Scotts Bluff County, NE

0

18145.

Shelby County, IN

0

22063.

Livingston Parish, LA

0

28051.

Holmes County, MS

0

42063.

Indiana County, PA

0

47081.

Hickman County, TN

0

12071.

Lee County, FL

0

47051.

Franklin County, TN

0

29045.

Clark County, MO

0

27049.

Goodhue County, MN

0

51510.

Alexandria city, VA

0

46013.

Brown County, SD

0

18121.

Parke County, IN

0

21005.

Anderson County, KY

0

17107.

Logan County, IL

0

1119.

Sumter County, AL

0

39161.

Van Wert County, OH

0

48271.

Kinney County, TX

0

28019.

Choctaw County, MS

0

48191.

Hall County, TX

0

41013.

Crook County, OR

0

31023.

Butler County, NE

0

40123.

Pontotoc County, OK

0

16067.

Minidoka County, ID

0

23017.

Oxford County, ME

0

23031.

York County, ME

0

22077.

Pointe Coupee Parish, LA

0

46037.

Day County, SD

0

12077.

Liberty County, FL

0

5107.

Phillips County, AR

0

30063.

Missoula County, MT

0

37141.

Pender County, NC

0

27165.

Watonwan County, MN

0

27171.

Wright County, MN

0

56045.

Weston County, WY

0

53045.

Mason County, WA

0

29187.

St. Francois County, MO

0

12117.

Seminole County, FL

0

37181.

Vance County, NC

0

24045.

Wicomico County, MD

0

47177.

Warren County, TN

0

39153.

Summit County, OH

0

17181.

Union County, IL

0

18083.

Knox County, IN

0

46015.

Brule County, SD

0

30083.

Richland County, MT

0

24043.

Washington County, MD

0

16037.

Custer County, ID

0

18127.

Porter County, IN

0

26081.

Kent County, MI

0

32029.

Storey County, NV

0

40023.

Choctaw County, OK

0

5077.

Lee County, AR

0

27005.

Becker County, MN

0

19181.

Warren County, IA

0

13205.

Mitchell County, GA

0

26009.

Antrim County, MI

0

8115.

Sedgwick County, CO

0

13229.

Pierce County, GA

0

22049.

Jackson Parish, LA

0

53063.

Spokane County, WA

0

53003.

Asotin County, WA

0

30099.

Teton County, MT

0

23007.

Franklin County, ME

0

46091.

Marshall County, SD

0

30059.

Meagher County, MT

0

6059.

Orange County, CA

0

47179.

Washington County, TN

0

31177.

Washington County, NE

0

16015.

Boise County, ID

0

42079.

Luzerne County, PA

0

45007.

Anderson County, SC

0

18113.

Noble County, IN

0

27083.

Lyon County, MN

0

48365.

Panola County, TX

0

21213.

Simpson County, KY

0

24027.

Howard County, MD

0

19129.

Mills County, IA

0

38085.

Sioux County, ND

0

38057.

Mercer County, ND

0

37199.

Yancey County, NC

0

56019.

Johnson County, WY

0

49021.

Iron County, UT

0

42129.

Westmoreland County, PA

0

37037.

Chatham County, NC

0

31139.

Pierce County, NE

0

38049.

McHenry County, ND

0

22023.

Cameron Parish, LA

0

51011.

Appomattox County, VA

0

39145.

Scioto County, OH

0

6047.

Merced County, CA

0

48163.

Frio County, TX

0

38063.

Nelson County, ND

0

40005.

Atoka County, OK

0

18161.

Union County, IN

0

17133.

Monroe County, IL

0

28007.

Attala County, MS

0

51530.

Buena Vista city, VA

0

51049.

Cumberland County, VA

0

39083.

Knox County, OH

0

31155.

Saunders County, NE

0

5097.

Montgomery County, AR

0

27069.

Kittson County, MN

0

44005.

Newport County, RI

0

53035.

Kitsap County, WA

0

26123.

Newaygo County, MI

0

42027.

Centre County, PA

0

54067.

Nicholas County, WV

0

48021.

Bastrop County, TX

0

28089.

Madison County, MS

0

41019.

Douglas County, OR

0

50015.

Lamoille County, VT

0

31135.

Perkins County, NE

0

6043.

Mariposa County, CA

0

5033.

Crawford County, AR

0

1049.

DeKalb County, AL

0

28021.

Claiborne County, MS

0

31159.

Seward County, NE

0

49007.

Carbon County, UT

0

17085.

Jo Daviess County, IL

0

56025.

Natrona County, WY

0

33001.

Belknap County, NH

0

22075.

Plaquemines Parish, LA

0

54077.

Preston County, WV

0

45087.

Union County, SC

0

29137.

Monroe County, MO

0

51173.

Smyth County, VA

0

16051.

Jefferson County, ID

0

27167.

Wilkin County, MN

0

48351.

Newton County, TX

0

27029.

Clearwater County, MN

0

26139.

Ottawa County, MI

0

47109.

McNairy County, TN

0

28029.

Copiah County, MS

0

48237.

Jack County, TX

0

20083.

Hodgeman County, KS

0

47039.

Decatur County, TN

0

12105.

Polk County, FL

0

27007.

Beltrami County, MN

0

51199.

York County, VA

0

47141.

Putnam County, TN

0

48475.

Ward County, TX

0

42069.

Lackawanna County, PA

0

54003.

Berkeley County, WV

0

53029.

Island County, WA

0

39127.

Perry County, OH

0

13199.

Meriwether County, GA

0

31105.

Kimball County, NE

0

37077.

Granville County, NC

0

51007.

Amelia County, VA

0

13249.

Schley County, GA

0

54059.

Mingo County, WV

0

37001.

Alamance County, NC

0

18141.

St. Joseph County, IN

0

21025.

Breathitt County, KY

0

47123.

Monroe County, TN

0

28137.

Tate County, MS

0

30077.

Powell County, MT

0

8079.

Mineral County, CO

0

39121.

Noble County, OH

0

36123.

Yates County, NY

0

37063.

Durham County, NC

0

8095.

Phillips County, CO

0

27039.

Dodge County, MN

0

20081.

Haskell County, KS

0

5079.

Lincoln County, AR

0

48383.

Reagan County, TX

0

37073.

Gates County, NC

0

13099.

Early County, GA

0

36087.

Rockland County, NY

0

34019.

Hunterdon County, NJ

0

28141.

Tishomingo County, MS

0

13225.

Peach County, GA

0

6037.

Los Angeles County, CA

0

21045.

Casey County, KY

0

48273.

Kleberg County, TX

0

18013.

Brown County, IN

0

17143.

Peoria County, IL

0

18029.

Dearborn County, IN

0

5143.

Washington County, AR

0

46109.

Roberts County, SD

0

53051.

Pend Oreille County, WA

0

19139.

Muscatine County, IA

0

20149.

Pottawatomie County, KS

0

51157.

Rappahannock County, VA

0

39151.

Stark County, OH

0

19087.

Henry County, IA

0

5059.

Hot Spring County, AR

0

12083.

Marion County, FL

0

42023.

Cameron County, PA

0

12073.

Leon County, FL

0

27073.

Lac qui Parle County, MN

0

42083.

McKean County, PA

0

28149.

Warren County, MS

0

35043.

Sandoval County, NM

0

36073.

Orleans County, NY

0

40015.

Caddo County, OK

0

16007.

Bear Lake County, ID

0

22061.

Lincoln Parish, LA

0

12061.

Indian River County, FL

0

22091.

St. Helena Parish, LA

0

54061.

Monongalia County, WV

0

36079.

Putnam County, NY

0

48289.

Leon County, TX

0

17137.

Morgan County, IL

0

1011.

Bullock County, AL

0

20151.

Pratt County, KS

0

1051.

Elmore County, AL

0

21229.

Washington County, KY

0

54065.

Morgan County, WV

0

40071.

Kay County, OK

0

6081.

San Mateo County, CA

0

53075.

Whitman County, WA

0

51169.

Scott County, VA

0

56039.

Teton County, WY

0

13257.

Stephens County, GA

0

12059.

Holmes County, FL

0

19111.

Lee County, IA

0

55015.

Calumet County, WI

0

20025.

Clark County, KS

0

48353.

Nolan County, TX

0

6105.

Trinity County, CA

0

40007.

Beaver County, OK

0

20129.

Morton County, KS

0

54055.

Mercer County, WV

0

17197.

Will County, IL

0

47093.

Knox County, TN

0

19103.

Johnson County, IA

0

4009.

Graham County, AZ

0

55063.

La Crosse County, WI

0

12069.

Lake County, FL

0

49041.

Sevier County, UT

0

5063.

Independence County, AR

0

29037.

Cass County, MO

0

47063.

Hamblen County, TN

0

44007.

Providence County, RI

0

55021.

Columbia County, WI

0

28115.

Pontotoc County, MS

0

29055.

Crawford County, MO

0

41055.

Sherman County, OR

0

18179.

Wells County, IN

0

30005.

Blaine County, MT

0

24013.

Carroll County, MD

0

34039.

Union County, NJ

0

46061.

Hanson County, SD

0

26091.

Lenawee County, MI

0

22035.

East Carroll Parish, LA

0

38053.

McKenzie County, ND

0

53007.

Chelan County, WA

0

26111.

Midland County, MI

0

48225.

Houston County, TX

0

39079.

Jackson County, OH

0

27123.

Ramsey County, MN

0

53009.

Clallam County, WA

0

55069.

Lincoln County, WI

0

25027.

Worcester County, MA

0

13201.

Miller County, GA

0

48327.

Menard County, TX

0

48297.

Live Oak County, TX

0

51197.

Wythe County, VA

0

48479.

Webb County, TX

0

5053.

Grant County, AR

0

21117.

Kenton County, KY

0

55051.

Iron County, WI

0

35028.

Los Alamos County, NM

0

46043.

Douglas County, SD

0

19097.

Jackson County, IA

0

32019.

Lyon County, NV

0

27035.

Crow Wing County, MN

0

5135.

Sharp County, AR

0

40145.

Wagoner County, OK

0

26017.

Bay County, MI

0

19013.

Black Hawk County, IA

0

40073.

Kingfisher County, OK

0

39113.

Montgomery County, OH

0

51660.

Harrisonburg city, VA

0

46129.

Walworth County, SD

0

13043.

Candler County, GA

0

40129.

Roger Mills County, OK

0

51147.

Prince Edward County, VA

0

27019.

Carver County, MN

0

47111.

Macon County, TN

0

12017.

Citrus County, FL

0

6109.

Tuolumne County, CA

0

20195.

Trego County, KS

0

17173.

Shelby County, IL

0

48227.

Howard County, TX

0

47079.

Henry County, TN

0

48505.

Zapata County, TX

0

31151.

Saline County, NE

0

8007.

Archuleta County, CO

0

21105.

Hickman County, KY

0

31145.

Red Willow County, NE

0

19163.

Scott County, IA

0

1005.

Barbour County, AL

0

29147.

Nodaway County, MO

0

16057.

Latah County, ID

0

4013.

Maricopa County, AZ

0

6053.

Monterey County, CA

0

39171.

Williams County, OH

0

13303.

Washington County, GA

0

22043.

Grant Parish, LA

0

51113.

Madison County, VA

0

45019.

Charleston County, SC

0

53061.

Snohomish County, WA

0

21063.

Elliott County, KY

0

26061.

Houghton County, MI

0

47103.

Lincoln County, TN

0

51043.

Clarke County, VA

0

26019.

Benzie County, MI

0

18057.

Hamilton County, IN

0

47087.

Jackson County, TN

0

20009.

Barton County, KS

0

48369.

Parmer County, TX

0

39169.

Wayne County, OH

0

53073.

Whatcom County, WA

0

45091.

York County, SC

0

21041.

Carroll County, KY

0

16079.

Shoshone County, ID

0

6065.

Riverside County, CA

0

36053.

Madison County, NY

0

41025.

Harney County, OR

0

40131.

Rogers County, OK

0

48293.

Limestone County, TX

0

53027.

Grays Harbor County, WA

0

19183.

Washington County, IA

0

20121.

Miami County, KS

0

36109.

Tompkins County, NY

0

25001.

Barnstable County, MA

0

54083.

Randolph County, WV

0

45013.

Beaufort County, SC

0

18043.

Floyd County, IN

0

38043.

Kidder County, ND

0

37143.

Perquimans County, NC

0

21191.

Pendleton County, KY

0

1121.

Talladega County, AL

0

5057.

Hempstead County, AR

0

40009.

Beckham County, OK

0

36017.

Chenango County, NY

0

30057.

Madison County, MT

0

41003.

Benton County, OR

0

37115.

Madison County, NC

0

47183.

Weakley County, TN

0

39045.

Fairfield County, OH

0

29035.

Carter County, MO

0

53055.

San Juan County, WA

0

46065.

Hughes County, SD

0

22109.

Terrebonne Parish, LA

0

29097.

Jasper County, MO

0

29039.

Cedar County, MO

0

47013.

Campbell County, TN

0

34015.

Gloucester County, NJ

0

26001.

Alcona County, MI

0

21165.

Menifee County, KY

0

17127.

Massac County, IL

0

41007.

Clatsop County, OR

0

29113.

Lincoln County, MO

0

26037.

Clinton County, MI

0

47065.

Hamilton County, TN

0

20187.

Stanton County, KS

0

56029.

Park County, WY

0

37091.

Hertford County, NC

0

48287.

Lee County, TX

0

25025.

Suffolk County, MA

0

48385.

Real County, TX

0

42039.

Crawford County, PA

0

46077.

Kingsbury County, SD

0

36081.

Queens County, NY

0

18155.

Switzerland County, IN

0

36027.

Dutchess County, NY

0

47003.

Bedford County, TN

0

4001.

Apache County, AZ

0

46081.

Lawrence County, SD

0

13237.

Putnam County, GA

0

54105.

Wirt County, WV

0

37101.

Johnston County, NC

0

37069.

Franklin County, NC

0

35055.

Taos County, NM

0

29017.

Bollinger County, MO

0

48455.

Trinity County, TX

0

36015.

Chemung County, NY

0

18117.

Orange County, IN

0

21089.

Greenup County, KY

0

49023.

Juab County, UT

0

36121.

Wyoming County, NY

0

54081.

Raleigh County, WV

0

48303.

Lubbock County, TX

0

28129.

Smith County, MS

0

30075.

Powder River County, MT

0

22019.

Calcasieu Parish, LA

0

37059.

Davie County, NC

0

13159.

Jasper County, GA

0

26067.

Ionia County, MI

0

16021.

Boundary County, ID

0

18045.

Fountain County, IN

0

45089.

Williamsburg County, SC

0

17057.

Fulton County, IL

0

51125.

Nelson County, VA

0

42085.

Mercer County, PA

0

37153.

Richmond County, NC

0

49039.

Sanpete County, UT

0

13079.

Crawford County, GA

0

47147.

Robertson County, TN

0

29185.

St. Clair County, MO

0

5133.

Sevier County, AR

0

27121.

Pope County, MN

0

12109.

St. Johns County, FL

0

26013.

Baraga County, MI

0

47017.

Carroll County, TN

0

39023.

Clark County, OH

0

32005.

Douglas County, NV

0

13195.

Madison County, GA

0

22039.

Evangeline Parish, LA

0

17157.

Randolph County, IL

0

31161.

Sheridan County, NE

0

6045.

Mendocino County, CA

0

18089.

Lake County, IN

0

13059.

Clarke County, GA

0

5105.

Perry County, AR

0

21015.

Boone County, KY

0

13219.

Oconee County, GA

0

28031.

Covington County, MS

0

38105.

Williams County, ND

0

48315.

Marion County, TX

0

28159.

Winston County, MS

0

13147.

Hart County, GA

0

19149.

Plymouth County, IA

0

49033.

Rich County, UT

0

29091.

Howell County, MO

0

19123.

Mahaska County, IA

0

18079.

Jennings County, IN

0

36067.

Onondaga County, NY

0

13255.

Spalding County, GA

0

39075.

Holmes County, OH

0

26107.

Mecosta County, MI

0

42047.

Elk County, PA

0

22127.

Winn Parish, LA

0

51680.

Lynchburg city, VA

0

38065.

Oliver County, ND

0

26127.

Oceana County, MI

0

13187.

Lumpkin County, GA

0

28147.

Walthall County, MS

0

12103.

Pinellas County, FL

0

19089.

Howard County, IA

0

20183.

Smith County, KS

0

29221.

Washington County, MO

0

51181.

Surry County, VA

0

41027.

Hood River County, OR

0

6031.

Kings County, CA

0

12009.

Brevard County, FL

0

31013.

Box Butte County, NE

0

26025.

Calhoun County, MI

0

21145.

McCracken County, KY

0

37161.

Rutherford County, NC

0

42101.

Philadelphia County, PA

0

48495.

Winkler County, TX

0

21221.

Trigg County, KY

0

29165.

Platte County, MO

0

31025.

Cass County, NE

0

25015.

Hampshire County, MA

0

5147.

Woodruff County, AR

0

53023.

Garfield County, WA

0

16053.

Jerome County, ID

0

29047.

Clay County, MO

0

5075.

Lawrence County, AR

0

51107.

Loudoun County, VA

0

6101.

Sutter County, CA

0

51630.

Fredericksburg city, VA

0

19137.

Montgomery County, IA

0

26031.

Cheboygan County, MI

0

28061.

Jasper County, MS

0

29121.

Macon County, MO

0

13115.

Floyd County, GA

0

26075.

Jackson County, MI

0

39065.

Hardin County, OH

0

19107.

Keokuk County, IA

0

28023.

Clarke County, MS

0

39167.

Washington County, OH

0

30027.

Fergus County, MT

0

47033.

Crockett County, TN

0

51137.

Orange County, VA

0

20133.

Neosho County, KS

0

29111.

Lewis County, MO

0

12081.

Manatee County, FL

0

5065.

Izard County, AR

0

28095.

Monroe County, MS

0

41033.

Josephine County, OR

0

48307.

McCulloch County, TX

0

41031.

Jefferson County, OR

0

34017.

Hudson County, NJ

0

41041.

Lincoln County, OR

0

1043.

Cullman County, AL

0

34001.

Atlantic County, NJ

0

1089.

Madison County, AL

0

6015.

Del Norte County, CA

0

51101.

King William County, VA

0

38003.

Barnes County, ND

0

18071.

Jackson County, IN

0

17073.

Henry County, IL

0

36037.

Genesee County, NY

0

47145.

Roane County, TN

0

45055.

Kershaw County, SC

0

41035.

Klamath County, OR

0

1095.

Marshall County, AL

0

41057.

Tillamook County, OR

0

48015.

Austin County, TX

0

1027.

Clay County, AL

0

27027.

Clay County, MN

0

13051.

Chatham County, GA

0

29131.

Miller County, MO

0

19119.

Lyon County, IA

0

42043.

Dauphin County, PA

0

6075.

San Francisco County, CA

0

56041.

Uinta County, WY

0

20057.

Ford County, KS

0

6091.

Sierra County, CA

0

27033.

Cottonwood County, MN

0

19155.

Pottawattamie County, IA

0

16077.

Power County, ID

0

46117.

Stanley County, SD

0

37099.

Jackson County, NC

0

13019.

Berrien County, GA

0

22097.

St. Landry Parish, LA

0

47115.

Marion County, TN

0

12057.

Hillsborough County, FL

0

19143.

Osceola County, IA

0

55007.

Bayfield County, WI

0

48153.

Floyd County, TX

0

47113.

Madison County, TN

0

13253.

Seminole County, GA

0

41043.

Linn County, OR

0

20173.

Sedgwick County, KS

0

12093.

Okeechobee County, FL

0

31175.

Valley County, NE

0

26153.

Schoolcraft County, MI

0

55049.

Iowa County, WI

0

1045.

Dale County, AL

0

16003.

Adams County, ID

0

9011.

New London County, CT

0

55125.

Vilas County, WI

0

48029.

Bexar County, TX

0

54079.

Putnam County, WV

0

21177.

Muhlenberg County, KY

0

39033.

Crawford County, OH

0

17065.

Hamilton County, IL

0

19019.

Buchanan County, IA

0

48439.

Tarrant County, TX

0

55111.

Sauk County, WI

0

24005.

Baltimore County, MD

0

53025.

Grant County, WA

0

27053.

Hennepin County, MN

0

46097.

Miner County, SD

0

1025.

Clarke County, AL

0

39021.

Champaign County, OH

0

45045.

Greenville County, SC

0

31041.

Custer County, NE

0

18099.

Marshall County, IN

0

20155.

Reno County, KS

0

5115.

Pope County, AR

0

39009.

Athens County, OH

0

51071.

Giles County, VA

0

47049.

Fentress County, TN

0

19131.

Mitchell County, IA

0

21021.

Boyle County, KY

0

48083.

Coleman County, TX

0

28049.

Hinds County, MS

0

30007.

Broadwater County, MT

0

46059.

Hand County, SD

0

54071.

Pendleton County, WV

0

26155.

Shiawassee County, MI

0

42041.

Cumberland County, PA

0

23001.

Androscoggin County, ME

0

40149.

Washita County, OK

0

48037.

Bowie County, TX

0

27117.

Pipestone County, MN

0

16027.

Canyon County, ID

0

48309.

McLennan County, TX

0

26143.

Roscommon County, MI

0

17165.

Saline County, IL

0

22053.

Jefferson Davis Parish, LA

0

35059.

Union County, NM

0

26051.

Gladwin County, MI

0

20175.

Seward County, KS

0

18015.

Carroll County, IN

0

36069.

Ontario County, NY

0

4007.

Gila County, AZ

0

8041.

El Paso County, CO

0

5145.

White County, AR

0

1057.

Fayette County, AL

0

1103.

Morgan County, AL

0

21085.

Grayson County, KY

0

42003.

Allegheny County, PA

0

20095.

Kingman County, KS

0

13283.

Treutlen County, GA

0

18051.

Gibson County, IN

0

12033.

Escambia County, FL

0

19057.

Des Moines County, IA

0

31093.

Howard County, NE

0

39071.

Highland County, OH

0

37083.

Halifax County, NC

0

6069.

San Benito County, CA

0

27015.

Brown County, MN

0

35027.

Lincoln County, NM

0

40091.

McIntosh County, OK

0

29087.

Holt County, MO

0

17079.

Jasper County, IL

0

51171.

Shenandoah County, VA

0

6097.

Sonoma County, CA

0

29195.

Saline County, MO

0

47023.

Chester County, TN

0

28119.

Quitman County, MS

0

17145.

Perry County, IL

0

47053.

Gibson County, TN

0

29139.

Montgomery County, MO

0

54011.

Cabell County, WV

0

47069.

Hardeman County, TN

0

29213.

Taney County, MO

0

40047.

Garfield County, OK

0

34027.

Morris County, NJ

0

13033.

Burke County, GA

0

17123.

Marshall County, IL

0

48137.

Edwards County, TX

0

37017.

Bladen County, NC

0

29043.

Christian County, MO

0

53069.

Wahkiakum County, WA

0

30021.

Dawson County, MT

0

17059.

Gallatin County, IL

0

36095.

Schoharie County, NY

0

40031.

Comanche County, OK

0

32031.

Washoe County, NV

0

56031.

Platte County, WY

0

53053.

Pierce County, WA

0

1047.

Dallas County, AL

0

21175.

Morgan County, KY

0

1069.

Houston County, AL

0

47171.

Unicoi County, TN

0

51065.

Fluvanna County, VA

0

26119.

Montmorency County, MI

0

21217.

Taylor County, KY

0

30003.

Big Horn County, MT

0

48183.

Gregg County, TX

0

21053.

Clinton County, KY

0

20157.

Republic County, KS

0

8089.

Otero County, CO

0

40147.

Washington County, OK

0

13297.

Walton County, GA

0

13045.

Carroll County, GA

0

29155.

Pemiscot County, MO

0

51145.

Powhatan County, VA

0

55013.

Burnett County, WI

0

31169.

Thayer County, NE

0

27059.

Isanti County, MN

0

30029.

Flathead County, MT

0

13067.

Cobb County, GA

0

49031.

Piute County, UT

0

19051.

Davis County, IA

0

17023.

Clark County, IL

0

39017.

Butler County, OH

0

21197.

Powell County, KY

0

41037.

Lake County, OR

0

30033.

Garfield County, MT

0

8107.

Routt County, CO

0

37067.

Forsyth County, NC

0

25017.

Middlesex County, MA

0

27105.

Nobles County, MN

0

19009.

Audubon County, IA

0

5093.

Mississippi County, AR

0

48387.

Red River County, TX

0

13021.

Bibb County, GA

0

17021.

Christian County, IL

0

40125.

Pottawatomie County, OK

0

51185.

Tazewell County, VA

0

50009.

Essex County, VT

0

12133.

Washington County, FL

0

21233.

Webster County, KY

0

21119.

Knott County, KY

0

41011.

Coos County, OR

0

17113.

McLean County, IL

0

30067.

Park County, MT

0

40119.

Payne County, OK

0

8121.

Washington County, CO

0

1013.

Butler County, AL

0

55073.

Marathon County, WI

0

36107.

Tioga County, NY

0

31061.

Franklin County, NE

0

10001.

Kent County, DE

0

51131.

Northampton County, VA

0

39133.

Portage County, OH

0

42015.

Bradford County, PA

0

37081.

Guilford County, NC

0

48059.

Callahan County, TX

0

55075.

Marinette County, WI

0

46025.

Clark County, SD

0

27063.

Jackson County, MN

0

47045.

Dyer County, TN

0

51027.

Buchanan County, VA

0

18101.

Martin County, IN

0

54043.

Lincoln County, WV

0

55067.

Langlade County, WI

0

51119.

Middlesex County, VA

0

18175.

Washington County, IN

0

48217.

Hill County, TX

0

21189.

Owsley County, KY

0

13145.

Harris County, GA

0

13179.

Liberty County, GA

0

12005.

Bay County, FL

0

29089.

Howard County, MO

0

37121.

Mitchell County, NC

0

22101.

St. Mary Parish, LA

0

10005.

Sussex County, DE

0

21201.

Robertson County, KY

0

29059.

Dallas County, MO

0

13029.

Bryan County, GA

0

48213.

Henderson County, TX

0

21017.

Bourbon County, KY

0

13039.

Camden County, GA

0

20159.

Rice County, KS

0

56011.

Crook County, WY

0

48049.

Brown County, TX

0

33009.

Grafton County, NH

0

5031.

Craighead County, AR

0

30013.

Cascade County, MT

0

1081.

Lee County, AL

0

19095.

Iowa County, IA

0

47161.

Stewart County, TN

0

6063.

Plumas County, CA

0

38037.

Grant County, ND

0

48323.

Maverick County, TX

0

45021.

Cherokee County, SC

0

19063.

Emmet County, IA

0

22031.

De Soto Parish, LA

0

20013.

Brown County, KS

0

24021.

Frederick County, MD

0

48361.

Orange County, TX

0

31027.

Cedar County, NE

0

22069.

Natchitoches Parish, LA

0

20001.

Allen County, KS

0

47041.

DeKalb County, TN

0

27157.

Wabasha County, MN

0

55011.

Buffalo County, WI

0

29077.

Greene County, MO

0

30087.

Rosebud County, MT

0

51089.

Henry County, VA

0

41045.

Malheur County, OR

0

19197.

Wright County, IA

0

39091.

Logan County, OH

0

29229.

Wright County, MO

0

13097.

Douglas County, GA

0

38027.

Eddy County, ND

0

8017.

Cheyenne County, CO

0

48211.

Hemphill County, TX

0

55065.

Lafayette County, WI

0

6061.

Placer County, CA

0

19091.

Humboldt County, IA

0

12085.

Martin County, FL

0

5117.

Prairie County, AR

0

17185.

Wabash County, IL

0

24015.

Cecil County, MD

0

25019.

Nantucket County, MA

0

38025.

Dunn County, ND

0

20053.

Ellsworth County, KS

0

55055.

Jefferson County, WI

0

37193.

Wilkes County, NC

0

42125.

Washington County, PA

0

17091.

Kankakee County, IL

0

17045.

Edgar County, IL

0

47059.

Greene County, TN

0

27001.

Aitkin County, MN

0

26133.

Osceola County, MI

0

54013.

Calhoun County, WV

0

19105.

Jones County, IA

0

27047.

Freeborn County, MN

0

21057.

Cumberland County, KY

0

21131.

Leslie County, KY

0

48259.

Kendall County, TX

0

49047.

Uintah County, UT

0

40035.

Craig County, OK

0

29183.

St. Charles County, MO

0

30089.

Sanders County, MT

0

13119.

Franklin County, GA

0

13235.

Pulaski County, GA

0

42075.

Lebanon County, PA

0

29029.

Camden County, MO

0

29061.

Daviess County, MO

0

28067.

Jones County, MS

0

37133.

Onslow County, NC

0

28111.

Perry County, MS

0

46031.

Corson County, SD

0

18183.

Whitley County, IN

0

37139.

Pasquotank County, NC

0

26129.

Ogemaw County, MI

0

51810.

Virginia Beach city, VA

0

27143.

Sibley County, MN

0

27065.

Kanabec County, MN

0

42097.

Northumberland County, PA

0

40099.

Murray County, OK

0

1131.

Wilcox County, AL

0

6111.

Ventura County, CA

0

48419.

Shelby County, TX

0

20165.

Rush County, KS

0

37135.

Orange County, NC

0

40113.

Osage County, OK

0

42103.

Pike County, PA

0

19053.

Decatur County, IA

0

37061.

Duplin County, NC

0

30085.

Roosevelt County, MT

0

26137.

Otsego County, MI

0

48201.

Harris County, TX

0

47019.

Carter County, TN

0

54001.

Barbour County, WV

0

47071.

Hardin County, TN

0

8113.

San Miguel County, CO

0

17161.

Rock Island County, IL

0

29117.

Livingston County, MO

0

32013.

Humboldt County, NV

0

39061.

Hamilton County, OH

0

37145.

Person County, NC

0

28035.

Forrest County, MS

0

40001.

Adair County, OK

0

51191.

Washington County, VA

0

21075.

Fulton County, KY

0

51710.

Norfolk city, VA

0

50005.

Caledonia County, VT

0

47187.

Williamson County, TN

0

13193.

Macon County, GA

0

47173.

Union County, TN

0

35013.

Dona Ana County, NM

0

47125.

Montgomery County, TN

0

39131.

Pike County, OH

0

47021.

Cheatham County, TN

0

37057.

Davidson County, NC

0

36025.

Delaware County, NY

0

24031.

Montgomery County, MD

0

5103.

Ouachita County, AR

0

13121.

Fulton County, GA

0

48453.

Travis County, TX

0

48197.

Hardeman County, TX

0

42111.

Somerset County, PA

0

27077.

Lake of the Woods County, MN

0

20153.

Rawlins County, KS

0

16071.

Oneida County, ID

0

19113.

Linn County, IA

0

8077.

Mesa County, CO

0

13221.

Oglethorpe County, GA

0

19175.

Union County, IA

0

17089.

Kane County, IL

0

47165.

Sumner County, TN

0

39027.

Clinton County, OH

0

17171.

Scott County, IL

0

31015.

Boyd County, NE

0

29051.

Cole County, MO

0

28013.

Calhoun County, MS

0

21147.

McCreary County, KY

0

36029.

Erie County, NY

0

40019.

Carter County, OK

0

1031.

Coffee County, AL

0

18139.

Rush County, IN

0

48349.

Navarro County, TX

0

13261.

Sumter County, GA

0

5015.

Carroll County, AR

0

39067.

Harrison County, OH

0

51720.

Norton city, VA

0

27057.

Hubbard County, MN

0

8071.

Las Animas County, CO

0

48319.

Mason County, TX

0

27055.

Houston County, MN

0

8101.

Pueblo County, CO

0

37119.

Mecklenburg County, NC

0

18087.

LaGrange County, IN

0

20089.

Jewell County, KS

0

40083.

Logan County, OK

0

48373.

Polk County, TX

0

45001.

Abbeville County, SC

0

48173.

Glasscock County, TX

0

22085.

Sabine Parish, LA

0

46005.

Beadle County, SD

0

20109.

Logan County, KS

0

37167.

Stanly County, NC

0

48397.

Rockwall County, TX

0

12003.

Baker County, FL

0

36057.

Montgomery County, NY

0

20005.

Atchison County, KS

0

45017.

Calhoun County, SC

0

26065.

Ingham County, MI

0

41069.

Wheeler County, OR

0

39097.

Madison County, OH

0

41017.

Deschutes County, OR

0

20119.

Meade County, KS

0

21169.

Metcalfe County, KY

0

47085.

Humphreys County, TN

0

29143.

New Madrid County, MO

0

45031.

Darlington County, SC

0

46049.

Faulk County, SD

0

38071.

Ramsey County, ND

0

31129.

Nuckolls County, NE

0

8031.

Denver County, CO

0

47181.

Wayne County, TN

0

16063.

Lincoln County, ID

0

40059.

Harper County, OK

0

13031.

Bulloch County, GA

0

22071.

Orleans Parish, LA

0

42031.

Clarion County, PA

0

37079.

Greene County, NC

0

30041.

Hill County, MT

0

35047.

San Miguel County, NM

0

42009.

Bedford County, PA

0

38011.

Bowman County, ND

0

1053.

Escambia County, AL

0

51540.

Charlottesville city, VA

0

36041.

Hamilton County, NY

0

5041.

Desha County, AR

0

1107.

Pickens County, AL

0

1079.

Lawrence County, AL

0

13023.

Bleckley County, GA

0

54093.

Tucker County, WV

0

31043.

Dakota County, NE

0

1033.

Colbert County, AL

0

54015.

Clay County, WV

0

17199.

Williamson County, IL

0

27021.

Cass County, MN

0

48081.

Coke County, TX

0

5017.

Chicot County, AR

0

8083.

Montezuma County, CO

0

13217.

Newton County, GA

0

26047.

Emmet County, MI

0

46033.

Custer County, SD

0

54103.

Wetzel County, WV

0

31131.

Otoe County, NE

0

39013.

Belmont County, OH

0

18065.

Henry County, IN

0

5003.

Ashley County, AR

0

27115.

Pine County, MN

0

51015.

Augusta County, VA

0

12115.

Sarasota County, FL

0

22021.

Caldwell Parish, LA

0

20103.

Leavenworth County, KS

0

47153.

Sequatchie County, TN

0

39089.

Licking County, OH

0

29151.

Osage County, MO

0

49015.

Emery County, UT

0

8065.

Lake County, CO

0

37025.

Cabarrus County, NC

0

19025.

Calhoun County, IA

0

39095.

Lucas County, OH

0

19039.

Clarke County, IA

0

21083.

Graves County, KY

0

30043.

Jefferson County, MT

0

36035.

Fulton County, NY

0

51009.

Amherst County, VA

0

13169.

Jones County, GA

0

21059.

Daviess County, KY

0

12065.

Jefferson County, FL

0

8085.

Montrose County, CO

0

48435.

Sutton County, TX

0

48299.

Llano County, TX

0

47011.

Bradley County, TN

0

21207.

Russell County, KY

0

17037.

DeKalb County, IL

0

29049.

Clinton County, MO

0

30095.

Stillwater County, MT

0

9013.

Tolland County, CT

0

23003.

Aroostook County, ME

0

19189.

Winnebago County, IA

0

18001.

Adams County, IN

0

54025.

Greenbrier County, WV

0

31011.

Boone County, NE

0

31051.

Dixon County, NE

0

54073.

Pleasants County, WV

0

27013.

Blue Earth County, MN

0

6073.

San Diego County, CA

0

4027.

Yuma County, AZ

0

16013.

Blaine County, ID

0

17009.

Brown County, IL

0

51165.

Rockingham County, VA

0

39105.

Meigs County, OH

0

48411.

San Saba County, TX

0

48099.

Coryell County, TX

0

48127.

Dimmit County, TX

0

27173.

Yellow Medicine County, MN

0

18137.

Ripley County, IN

0

18021.

Clay County, IN

0

35001.

Bernalillo County, NM

0

12099.

Palm Beach County, FL

0

27099.

Mower County, MN

0

22095.

St. John the Baptist Parish, LA

0

31073.

Gosper County, NE

0

12049.

Hardee County, FL

0

39055.

Geauga County, OH

0

26105.

Mason County, MI

0

21171.

Monroe County, KY

0

18157.

Tippecanoe County, IN

0

55001.

Adams County, WI

0

37157.

Rockingham County, NC

0

48219.

Hockley County, TX

0

31045.

Dawes County, NE

0

48171.

Gillespie County, TX

0

47043.

Dickson County, TN

0

13259.

Stewart County, GA

0

39099.

Mahoning County, OH

0

51840.

Winchester city, VA

0

38069.

Pierce County, ND

0

51073.

Gloucester County, VA

0

33017.

Strafford County, NH

0

26077.

Kalamazoo County, MI

0

45057.

Lancaster County, SC

0

42067.

Juniata County, PA

0

28011.

Bolivar County, MS

0

6023.

Humboldt County, CA

0

45047.

Greenwood County, SC

0

56013.

Fremont County, WY

0

1115.

St. Clair County, AL

0

12063.

Jackson County, FL

0

38055.

McLean County, ND

0

8015.

Chaffee County, CO

0

20017.

Chase County, KS

0

46007.

Bennett County, SD

0

21237.

Wolfe County, KY

0

48251.

Johnson County, TX

0

56015.

Goshen County, WY

0

39107.

Mercer County, OH

0

19185.

Wayne County, IA

0

37015.

Bertie County, NC

0

39077.

Huron County, OH

0

28135.

Tallahatchie County, MS

0

10003.

New Castle County, DE

0

22029.

Concordia Parish, LA

0

53067.

Thurston County, WA

0

26069.

Iosco County, MI

0

20011.

Bourbon County, KS

0

37151.

Randolph County, NC

0

20147.

Phillips County, KS

0

13277.

Tift County, GA

0

1001.

Autauga County, AL

0

19141.

O’Brien County, IA

0

48441.

Taylor County, TX

0

18115.

Ohio County, IN

0

16005.

Bannock County, ID

0

40105.

Nowata County, OK

0

42049.

Erie County, PA

0

20137.

Norton County, KS

0

37197.

Yadkin County, NC

0

48507.

Zavala County, TX

0

1019.

Cherokee County, AL

0

29149.

Oregon County, MO

0

47031.

Coffee County, TN

0

37105.

Lee County, NC

0

49003.

Box Elder County, UT

0

48367.

Parker County, TX

0

48487.

Wilbarger County, TX

0

5109.

Pike County, AR

0

13055.

Chattooga County, GA

0

20139.

Osage County, KS

0

21003.

Allen County, KY

0

4023.

Santa Cruz County, AZ

0

48233.

Hutchinson County, TX

0

54035.

Jackson County, WV

0

39063.

Hancock County, OH

0

48359.

Oldham County, TX

0

42093.

Montour County, PA

0

8049.

Grand County, CO

0

40053.

Grant County, OK

0

16031.

Cassia County, ID

0

20091.

Johnson County, KS

0

13081.

Crisp County, GA

0

20117.

Marshall County, KS

0

55131.

Washington County, WI

0

55081.

Monroe County, WI

0

13015.

Bartow County, GA

0

17049.

Effingham County, IL

0

46051.

Grant County, SD

0

12079.

Madison County, FL

0

53019.

Ferry County, WA

0

47095.

Lake County, TN

0

37169.

Stokes County, NC

0

17115.

Macon County, IL

0

48115.

Dawson County, TX

0

28043.

Grenada County, MS

0

27113.

Pennington County, MN

0

47107.

McMinn County, TN

0

54063.

Monroe County, WV

0

40025.

Cimarron County, OK

0

19071.

Fremont County, IA

0

48215.

Hidalgo County, TX

0

5011.

Bradley County, AR

0

34037.

Sussex County, NJ

0

47099.

Lawrence County, TN

0

8093.

Park County, CO

0

20193.

Thomas County, KS

0

21107.

Hopkins County, KY

0

5069.

Jefferson County, AR

0

20031.

Coffey County, KS

0

46071.

Jackson County, SD

0

39157.

Tuscarawas County, OH

0

29205.

Shelby County, MO

0

48413.

Schleicher County, TX

0

47009.

Blount County, TN

0

29169.

Pulaski County, MO

0

25011.

Franklin County, MA

0

5021.

Clay County, AR

0

55035.

Eau Claire County, WI

0

48181.

Grayson County, TX

0

54097.

Upshur County, WV

0

36077.

Otsego County, NY

0

45025.

Chesterfield County, SC

0

35025.

Lea County, NM

0

37075.

Graham County, NC

0

37111.

McDowell County, NC

0

13107.

Emanuel County, GA

0

20069.

Gray County, KS

0

21203.

Rockcastle County, KY

0

48427.

Starr County, TX

0

53039.

Klickitat County, WA

0

51081.

Greensville County, VA

0

12067.

Lafayette County, FL

0

42123.

Warren County, PA

0

42071.

Lancaster County, PA

0

19037.

Chickasaw County, IA

0

21195.

Pike County, KY

0

17081.

Jefferson County, IL

0

39081.

Jefferson County, OH

0

55085.

Oneida County, WI

0

50021.

Rutland County, VT

0

1123.

Tallapoosa County, AL

0

36055.

Monroe County, NY

0

56021.

Laramie County, WY

0

34003.

Bergen County, NJ

0

5085.

Lonoke County, AR

0

47057.

Grainger County, TN

0

16087.

Washington County, ID

0

8063.

Kit Carson County, CO

0

55033.

Dunn County, WI

0

8037.

Eagle County, CO

0

13151.

Henry County, GA

0

47047.

Fayette County, TN

0

48501.

Yoakum County, TX

0

29163.

Pike County, MO

0

29215.

Texas County, MO

0

18151.

Steuben County, IN

0

18105.

Monroe County, IN

0

16035.

Clearwater County, ID

0

21151.

Madison County, KY

0

40013.

Bryan County, OK

0

20123.

Mitchell County, KS

0

16017.

Bonner County, ID

0

13185.

Lowndes County, GA

0

49051.

Wasatch County, UT

0

47061.

Grundy County, TN

0

20065.

Graham County, KS

0

1041.

Crenshaw County, AL

0

54041.

Lewis County, WV

0

48341.

Moore County, TX

0

51800.

Suffolk city, VA

0

38081.

Sargent County, ND

0

21211.

Shelby County, KY

0

21199.

Pulaski County, KY

0

21163.

Meade County, KY

0

48107.

Crosby County, TX

0

56005.

Campbell County, WY

0

46029.

Codington County, SD

0

16045.

Gem County, ID

0

18111.

Newton County, IN

0

20049.

Elk County, KS

0

26053.

Gogebic County, MI

0

28139.

Tippah County, MS

0

51740.

Portsmouth city, VA

0

31123.

Morrill County, NE

0

12119.

Sumter County, FL

0

51005.

Alleghany County, VA

0

25023.

Plymouth County, MA

0

27075.

Lake County, MN

0

41001.

Baker County, OR

0

49045.

Tooele County, UT

0

27037.

Dakota County, MN

0

36083.

Rensselaer County, NY

0

13231.

Pike County, GA

0

51640.

Galax city, VA

0

19167.

Sioux County, IA

0

39029.

Columbiana County, OH

0

51550.

Chesapeake city, VA

0

17043.

DuPage County, IL

0

48405.

San Augustine County, TX

0

1003.

Baldwin County, AL

0

49029.

Morgan County, UT

0

20029.

Cloud County, KS

0

13005.

Bacon County, GA

0

13211.

Morgan County, GA

0

6007.

Butte County, CA

0

22009.

Avoyelles Parish, LA

0

51047.

Culpeper County, VA

0

27051.

Grant County, MN

0

20143.

Ottawa County, KS

0

35035.

Otero County, NM

0

16055.

Kootenai County, ID

0

29053.

Cooper County, MO

0

22073.

Ouachita Parish, LA

0

28113.

Pike County, MS

0

29005.

Atchison County, MO

0

51650.

Hampton city, VA

0

12029.

Dixie County, FL

0

47127.

Moore County, TN

0

37029.

Camden County, NC

0

13223.

Paulding County, GA

0

54087.

Roane County, WV

0

46087.

McCook County, SD

0

28081.

Lee County, MS

0

18123.

Perry County, IN

0

34013.

Essex County, NJ

0

21127.

Lawrence County, KY

0

19001.

Adair County, IA

0

55089.

Ozaukee County, WI

0

29067.

Douglas County, MO

0

12011.

Broward County, FL

0

12035.

Flagler County, FL

0

28127.

Simpson County, MS

0

26109.

Menominee County, MI

0

47089.

Jefferson County, TN

0

41015.

Curry County, OR

0

46009.

Bon Homme County, SD

0

51013.

Arlington County, VA

0

54085.

Ritchie County, WV

0

27093.

Meeker County, MN

0

55107.

Rusk County, WI

0

21051.

Clay County, KY

0

51163.

Rockbridge County, VA

0

27151.

Swift County, MN

0

19061.

Dubuque County, IA

0

36001.

Albany County, NY

0

40055.

Greer County, OK

0

48109.

Culberson County, TX

0

13197.

Marion County, GA

0

48139.

Ellis County, TX

0

47055.

Giles County, TN

0

54039.

Kanawha County, WV

0

36111.

Ulster County, NY

0

36003.

Allegany County, NY

0

22087.

St. Bernard Parish, LA

0

54017.

Doddridge County, WV

0

36115.

Washington County, NY

0

12053.

Hernando County, FL

0

35006.

Cibola County, NM

0

48151.

Fisher County, TX

0

45015.

Berkeley County, SC

0

26145.

Saginaw County, MI

0

16083.

Twin Falls County, ID

0

51580.

Covington city, VA

0

47149.

Rutherford County, TN

0

29101.

Johnson County, MO

0

18081.

Johnson County, IN

0

48039.

Brazoria County, TX

0

42011.

Berks County, PA

0

17063.

Grundy County, IL

0

29175.

Randolph County, MO

0

18129.

Posey County, IN

0

39057.

Greene County, OH

0

45075.

Orangeburg County, SC

0

20181.

Sherman County, KS

0

17163.

St. Clair County, IL

0

13251.

Screven County, GA

0

34005.

Burlington County, NJ

0

30039.

Granite County, MT

0

55087.

Outagamie County, WI

0

39031.

Coshocton County, OH

0

49005.

Cache County, UT

0

31047.

Dawson County, NE

0

36019.

Clinton County, NY

0

29065.

Dent County, MO

0

21193.

Perry County, KY

0

27017.

Carlton County, MN

0

42081.

Lycoming County, PA

0

28087.

Lowndes County, MS

0

20093.

Kearny County, KS

0

40043.

Dewey County, OK

0

36021.

Columbia County, NY

0

53037.

Kittitas County, WA

0

16081.

Teton County, ID

0

45009.

Bamberg County, SC

0

40075.

Kiowa County, OK

0

18007.

Benton County, IN

0

5025.

Cleveland County, AR

0

18091.

LaPorte County, IN

0

31063.

Frontier County, NE

0

37047.

Columbus County, NC

0

22113.

Vermilion Parish, LA

0

42035.

Clinton County, PA

0

51059.

Fairfax County, VA

0

20201.

Washington County, KS

0

12113.

Santa Rosa County, FL

0

37175.

Transylvania County, NC

0

27135.

Roseau County, MN

0

40039.

Custer County, OK

0

41023.

Grant County, OR

0

26141.

Presque Isle County, MI

0

40021.

Cherokee County, OK

0

48445.

Terry County, TX

0

20131.

Nemaha County, KS

0

30065.

Musselshell County, MT

0

36089.

St. Lawrence County, NY

0

1039.

Covington County, AL

0

17035.

Cumberland County, IL

0

8023.

Costilla County, CO

0

47001.

Anderson County, TN

0

48187.

Guadalupe County, TX

0

37055.

Dare County, NC

0

51041.

Chesterfield County, VA

0

12095.

Orange County, FL

0

37125.

Moore County, NC

0

31181.

Webster County, NE

0

20125.

Montgomery County, KS

0

8043.

Fremont County, CO

0

18011.

Boone County, IN

0

47083.

Houston County, TN

0

27147.

Steele County, MN

0

28151.

Washington County, MS

0

19045.

Clinton County, IA

0

55025.

Dane County, WI

0

48031.

Blanco County, TX

0

42019.

Butler County, PA

0

19049.

Dallas County, IA

0

1009.

Blount County, AL

0

9009.

New Haven County, CT

0

5129.

Searcy County, AR

0

17111.

McHenry County, IL

0

40093.

Major County, OK

0

38035.

Grand Forks County, ND

0

19157.

Poweshiek County, IA

0

12045.

Gulf County, FL

0

41039.

Lane County, OR

0

55121.

Trempealeau County, WI

0

1029.

Cleburne County, AL

0

5113.

Polk County, AR

0

38015.

Burleigh County, ND

0

51023.

Botetourt County, VA

0

54075.

Pocahontas County, WV

0

51111.

Lunenburg County, VA

0

49011.

Davis County, UT

0

56033.

Sheridan County, WY

0

19115.

Louisa County, IA

0

38017.

Cass County, ND

0

29109.

Lawrence County, MO

0

48249.

Jim Wells County, TX

0

8105.

Rio Grande County, CO

0

38013.

Burke County, ND

0

13109.

Evans County, GA

0

42055.

Franklin County, PA

0

46095.

Mellette County, SD

0

29199.

Scotland County, MO

0

40033.

Cotton County, OK

0

6087.

Santa Cruz County, CA

0

20177.

Shawnee County, KS

0

22115.

Vernon Parish, LA

0

31031.

Cherry County, NE

0

13165.

Jenkins County, GA

0

37071.

Gaston County, NC

0

28091.

Marion County, MS

0

5001.

Arkansas County, AR

0

1077.

Lauderdale County, AL

0

26049.

Genesee County, MI

0

29209.

Stone County, MO

0

27089.

Marshall County, MN

0

48147.

Fannin County, TX

0

4015.

Mohave County, AZ

0

24009.

Calvert County, MD

0

5111.

Poinsett County, AR

0

34029.

Ocean County, NJ

0

53013.

Columbia County, WA

0

8087.

Morgan County, CO

0

49025.

Kane County, UT

0

48493.

Wilson County, TX

0

47037.

Davidson County, TN

0

13035.

Butts County, GA

0

5099.

Nevada County, AR

0

55071.

Manitowoc County, WI

0

1093.

Marion County, AL

0

55113.

Sawyer County, WI

0

34021.

Mercer County, NJ

0

48409.

San Patricio County, TX

0

48165.

Gaines County, TX

0

12023.

Columbia County, FL

0

22065.

Madison Parish, LA

0

54045.

Logan County, WV

0

55105.

Rock County, WI

0

29025.

Caldwell County, MO

0

37019.

Brunswick County, NC

0

42061.

Huntingdon County, PA

0

13317.

Wilkes County, GA

0

20127.

Morris County, KS

0

51075.

Goochland County, VA

0

51063.

Floyd County, VA

0

39149.

Shelby County, OH

0

9005.

Litchfield County, CT

0

20167.

Russell County, KS

0

28155.

Webster County, MS

0

42107.

Schuylkill County, PA

0

18169.

Wabash County, IN

0

21161.

Mason County, KY

0

41063.

Wallowa County, OR

0

21219.

Todd County, KY

0

27145.

Stearns County, MN

0

51103.

Lancaster County, VA

0

53057.

Skagit County, WA

0

48415.

Scurry County, TX

0

20161.

Riley County, KS

0

40137.

Stephens County, OK

0

30009.

Carbon County, MT

0

31055.

Douglas County, NE

0

26097.

Mackinac County, MI

0

51105.

Lee County, VA

0

20045.

Douglas County, KS

0

51620.

Franklin city, VA

0

39125.

Paulding County, OH

0

17177.

Stephenson County, IL

0

31147.

Richardson County, NE

0

13227.

Pickens County, GA

0

28033.

DeSoto County, MS

0

5119.

Pulaski County, AR

0

47121.

Meigs County, TN

0

1091.

Marengo County, AL

0

28003.

Alcorn County, MS

0

47131.

Obion County, TN

0

26011.

Arenac County, MI

0

8001.

Adams County, CO

0

22003.

Allen Parish, LA

0

18003.

Allen County, IN

0

42095.

Northampton County, PA

0

53021.

Franklin County, WA

0

40067.

Jefferson County, OK

0

17119.

Madison County, IL

0

Variable Format: numeric

Notes: UNF:5:zSwoDyhRAHKncxzZN0OcTw==

Zip Code (Estimated From Phone)

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:cAixMhqOeGI7baCBUsHZpw==

Zip Code (Reported by Respondent)

f2529474 Location:

Value

Label

Frequency

Text

99999.

Refused

0

99998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:/d9ok5YpP1kmRvaYUOTq3A==

Urbanity

f2529474 Location:

Value

Label

Frequency

Text

3.

Rural

630

1.

Urban

865

2.

Suburban

1418

Variable Format: numeric

Notes: UNF:5:ag8NfDTR9WWqBg0iVulueg==

Media Market

f2529474 Location:

Value

Label

Frequency

Text

709.

Tyler–Longview (TX)

5

718.

Jackson (MS)

6

606.

Dothan (AL, GA)

1

570.

Myrtle Beach–Florence (NC, SC)

5

820.

Portland (OR, WA)

40

536.

Youngstown (OH, PA)

8

811.

Reno (CA, NV)

9

771.

Yuma–El Centro (AZ, CA)

4

756.

Billings (MT, WY)

3

551.

Lansing (MI)

6

800.

Bakersfield (CA)

4

642.

Lafayette (LA)

6

609.

St. Louis (IL, MO)

30

618.

Houston (TX)

39

722.

Lincoln–Hastings–Kearney Plus (KS, NE)

17

652.

Omaha (IA, MO, NE)

13

514.

Buffalo (NY, PA)

25

581.

Terre Haute (IL, IN)

3

770.

Salt Lake City (ID, NV, UT, WY)

31

755.

Great Falls (MT)

2

529.

Louisville (IN, KY)

23

518.

Greensboro–High Point–Winston Salem (NC, VA)

18

758.

Idaho Falls–Pocatello (ID, WY)

6

541.

Lexington (KY)

10

675.

Peoria–Bloomington (IL)

6

508.

Pittsburgh (MD, PA, WV)

23

543.

Springfield–Holyoke (MA)

9

530.

Tallahassee–Thomasville (FL, GA)

6

866.

Fresno–Visalia (CA)

13

532.

Albany–Schenectady–Troy (MA, NY, VT)

27

617.

Milwaukee (WI)

26

801.

Eugene (OR)

9

533.

Hartford–New Haven (CT)

28

549.

Watertown (NY)

0

802.

Eureka (CA)

1

624.

Sioux City (IA, NE, SD)

8

610.

Rockford (IL)

5

635.

Austin (TX)

16

762.

Missoula (MT)

8

630.

Birmingham (AL)

24

855.

Santa Barbara–San Mar–San Luis Obispo (CA)

4

631.

Ottumwa–Kirksville (IA, MO)

1

634.

Amarillo (NM, OK, TX)

8

765.

El Paso (NM, TX)

5

522.

Columbus (AL, GA)

4

813.

Medford–Klamath Falls (CA, OR)

10

521.

Providence–New Bedford (MA, RI)

12

798.

Glendive (MT)

0

571.

Fort Myers–Naples (FL)

9

515.

Cincinnati (IN, KY, OH)

31

502.

Binghamton (NY)

4

753.

Phoenix (AZ)

39

821.

Bend (OR)

1

650.

Oklahoma City (OK)

11

734.

Jonesboro (AR, MO)

4

649.

Evansville (IL, IN, KY)

9

556.

Richmond–Petersburg (VA)

14

671.

Tulsa (KS, OK)

15

693.

Little Rock–Pine Bluff (AR)

21

676.

Duluth–Superior (MI, MN, WI)

4

632.

Paducah–Cape Girardeau–Harrisburg (IL, KY, MO, TN)

7

612.

Shreveport (AR, LA, OK, TX)

16

565.

Elmira (NY, PA)

1

555.

Syracuse (NY)

11

637.

Cedar Rapids–Waterloo–Dubuque (IA)

10

501.

New York (CT, NJ, NY, PA)

173

582.

Lafayette (IN)

1

625.

Waco–Temple–Bryan (TX)

9

542.

Dayton (IN, OH)

16

526.

Utica (NY)

4

517.

Charlotte (NC, SC)

28

658.

Green Bay–Appleton (MI, WI)

17

673.

Columbus–Tupelo–West Point (AL, MS)

8

602.

Chicago (IL, IN)

71

862.

Sacramento–Stockton–Modesto (CA)

36

751.

Denver (CO, NE, WY)

50

626.

Victoria (TX)

0

596.

Zanesville (OH)

1

746.

Biloxi–Gulfport (MS)

5

659.

Nashville (KY, TN)

23

506.

Boston (MA, NH, VT)

50

638.

St. Joseph (KS, MO)

2

563.

Grand Rapids–Kalamazoo–Battle Creek (MI)

15

598.

Clarksburg–Weston (WV)

2

725.

Sioux Falls (IA, MN, NE, SD)

7

825.

San Diego (CA)

27

500.

Portland–Auburn (ME, NH)

15

554.

Wheeling–Steubenville (OH, WV)

6

569.

Harrisonburg (VA, WV)

4

749.

Laredo (TX)

1

575.

Chattanooga (GA, NC, TN)

8

737.

Mankato (MN)

4

592.

Gainesville (FL)

4

503.

Macon (GA)

3

651.

Lubbock (TX)

5

647.

Greenwood–Greenville (AR, MS)

3

686.

Mobile–Pensacola (AL, FL, MS)

10

616.

Kansas City (KS, MO)

23

512.

Baltimore (MD)

29

576.

Salisbury (DE, MD)

2

611.

Rochester–Mason City–Austin (IA, MN)

4

702.

La Crosse–Eau Claire (MN, WI)

9

648.

Champaign–Springfield–Decatur (IL)

10

678.

Wichita–Hutchinson Plus (KS)

16

539.

Tampa–St. Petersburg–Sarasota (FL)

44

524.

Atlanta (AL, GA, NC)

52

623.

Dallas–Fort Worth (TX)

59

509.

Fort Wayne (IN, OH)

12

545.

Greenville–New Bern–Washington (NC)

7

828.

Monterey–Salinas (CA)

3

639.

Jackson (TN)

0

507.

Savannah (GA, SC)

6

566.

Harrisburg–Lancaster–Lebanon–York (PA)

20

605.

Topeka (KS)

6

839.

Las Vegas (NV)

16

547.

Toledo (MI, OH)

10

600.

Corpus Christi (TX)

3

627.

Wichita Falls–Lawton (OK, TX)

4

567.

Greenville–Spartanburg–Asheville (GA, NC, SC)

29

597.

Parkersburg (OH, WV)

2

803.

Los Angeles (CA)

119

504.

Philadelphia (DE, NJ, PA)

96

516.

Erie (PA)

4

619.

Springfield (AR, MO)

10

662.

Abilene–Sweetwater (TX)

2

564.

Charleston–Huntington (KY, OH, WV)

14

523.

Burlington–Plattsburgh (NH, NY, VT)

11

513.

Flint–Saginaw–Bay City (MI)

11

604.

Columbia–Jefferson City (MO)

7

736.

Bowling Green (KY)

2

670.

Fort Smith–Fay–Springdale (AR, OK)

7

531.

Tri-Cities (KY, TN, VA)

6

538.

Rochester (NY)

10

528.

Miami–Fort Lauderdale (FL)

19

577.

Wilkes Barre–Scranton (PA)

21

773.

Grand Junction–Montrose (CO)

3

628.

Monroe–El Dorado (AR, LA)

3

661.

San Angelo (TX)

1

767.

Casper–Riverton (WY)

2

724.

Fargo–Valley City (MN, ND)

5

711.

Meridian (AL, MS)

0

710.

Hattiesburg–Laurel (MS)

1

622.

New Orleans (LA, MS)

13

717.

Quincy–Hannibal–Keokuk (IA, IL, MO)

3

868.

Chico–Redding (CA)

5

669.

Madison (WI)

13

584.

Charlottesville (VA)

1

544.

Norfolk–Portsmouth–Newport News (NC, VA)

15

588.

South Bend–Elkhart (IN, MI)

7

510.

Cleveland–Akron (OH)

36

540.

Traverse City–Cadillac (MI)

7

643.

Lake Charles (LA)

1

525.

Albany (GA)

2

657.

Sherman–Ada (OK, TX)

4

691.

Huntsville–Decatur–Florence (AL, TN)

12

553.

Marquette (MI, WI)

1

687.

Minot–Bismarck–Dickinson (MT, ND, SD)

6

633.

Odessa–Midland (TX)

4

560.

Raleigh–Durham (NC, VA)

23

558.

Lima (OH)

4

810.

Yakima–Pasco–Richland–Kennewick (OR, WA)

10

552.

Presque Isle (ME)

0

537.

Bangor (ME)

6

548.

West Palm Beach–Fort Pierce (FL)

12

535.

Columbus (OH)

25

505.

Detroit (MI)

42

534.

Orlando–Daytona Beach–Melbourne (FL)

27

881.

Spokane (ID, MT, OR, WA)

9

527.

Indianapolis (IN)

46

692.

Beaumont–Port Arthur (TX)

4

640.

Memphis (AR, MS, TN)

21

573.

Roanoke–Lynchburg (VA)

15

705.

Wausau–Rhinelander (WI)

10

757.

Boise (ID, OR)

4

656.

Panama City (FL)

3

789.

Tucson–Sierra Vista (AZ)

8

559.

Bluefield–Beckley–Oak Hill (VA, WV)

3

740.

North Platte (NE)

1

613.

Minneapolis–St. Paul (MN, WI)

54

819.

Seattle–Tacoma (WA)

47

511.

Washington (DC, MD, PA, VA, WV)

63

557.

Knoxville (KY, TN)

15

603.

Joplin–Pittsburg (KS, MO, OK)

6

752.

Colorado Springs–Pueblo (CO)

5

790.

Albuquerque–Santa Fe (AZ, CO, NM)

13

583.

Alpena (MI)

1

760.

Twin Falls (ID)

2

682.

Davenport–Rock Island–Moline (IA, IL)

14

574.

Johnstown–Altoona (PA)

11

766.

Helena (MT)

1

679.

Des Moines–Ames (IA)

14

644.

Alexandria (LA)

3

550.

Wilmington (NC)

6

561.

Jacksonville (FL, GA)

14

807.

San Francisco–Oakland–San Jose (CA)

74

519.

Charleston (SC)

7

520.

Augusta (GA, SC)

6

546.

Columbia (SC)

8

636.

Harlingen–Weslaco–Brownsville (TX)

8

698.

Montgomery (AL)

7

754.

Butte–Bozeman (MT)

1

759.

Cheyenne–Scottsbluff (NE, WY)

3

764.

Rapid City (NE, SD, WY)

1

641.

San Antonio (TX)

21

716.

Baton Rouge (LA, MS)

3

Variable Format: numeric

Notes: UNF:5:Y3B64EU6PnCTxWwFNMlj2Q==

Phone Landlines in Household

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

999.

Refused

49

Variable Format: numeric

Notes: UNF:5:Q+4Vm89iAQSDYp72bJVFWQ==

Have Cell Phone

f2529474 Location:

Value

Label

Frequency

Text

999.

Refused

56

1.

Different

1972

998.

Don’t know

8

3.

Do not have cell phone

824

2.

Same

53

Variable Format: numeric

Notes: UNF:5:VhxXfn1IBwEwq2N1ZNbaOg==

Anyone in Household Owns Gun (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

12

999.

Refused

54

1.

Yes

1111

2.

No

1736

Variable Format: numeric

Notes: UNF:5:cNsFKzEKtfx2qhjr7Tll2g==

Anyone in Household Owns Gun (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

0

3.

Both respondent and other household member

0

998.

Don’t know

0

999.

Refused

0

4.

No one owns firearm

0

2.

Other household member

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Anyone in Household Belongs to NRA (Wording #1)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

239

2.

No

847

999.

Refused

0

998.

Don’t know

25

Variable Format: numeric

Notes: UNF:5:Uly5yOvtqUcWsUKwbSAQ5A==

Anyone in Household Belongs to NRA (Wording #2)

f2529474 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

Know of Someone Gay or Lesbian

f2529474 Location:

Value

Label

Frequency

Text

998.

Don’t know

12

3.

Respondent is gay or lesbian

2

2.

No

459

1.

Yes

457

999.

Refused

17

Variable Format: numeric

Notes: UNF:5:FaX3kM9U/PyON2Kgb1z3Ig==

Interviewer ID

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:1xwKNAFbl9Qf09O5JptKPw==

Interviewer Sex

f2529474 Location:

Value

Label

Frequency

Text

1.

Male

972

2.

Female

1941

Variable Format: numeric

Notes: UNF:5:RoP4WlEwxgn/BHEFjswA4w==

Interviewer Race

f2529474 Location:

Value

Label

Frequency

Text

1.

White

1927

3.

Asian

49

4.

Other

321

2.

Black

616

Variable Format: numeric

Notes: UNF:5:NwuylUTwoZ4JSVoS/lfN2A==

Interview Language

f2529474 Location:

Value

Label

Frequency

Text

1.

English

2852

2.

Spanish

61

Variable Format: numeric

Notes: UNF:5:ljXvGZ+ZUHQXlfdthydKAg==

Interviewer’s Evaluation of Interview Overall

f2529474 Location:

Value

Label

Frequency

Text

3.

C, average

341

1.

A, excellent

1311

2.

B, good

1146

5.

F, very poor

21

999.

No data

6

4.

D, poor

88

Variable Format: numeric

Notes: UNF:5:i2isJT6+XCxEY3Ha+r37+g==

Interviewer’s Evaluation of Respondent’s Political Knowledge

f2529474 Location:

Value

Label

Frequency

Text

2.

B, good

1123

1.

A, excellent

815

999.

No data

13

4.

D, poor

233

5.

F, very poor

99

3.

C, average

630

Variable Format: numeric

Notes: UNF:5:BjcE4Vh7ZSYMrGfNzJ0few==

Bushannounce

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:fa0DazjipaJ3uKHZNu1nbw==

interest

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:dpmO3UOLEO0p/7AzziYD8w==

age

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:mpg57GGddImkcfbRa1f+xA==

liberalism

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Md5F+AWeVZl9FqSJw8klvQ==

gayfavor

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:wLGw9VYTX9kq++rs3D5niA==

xtianfavor

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:QBradwxQ5mwMHCz1xpnX6g==

protfavor

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:xQk4MKvZ9agahOTudCMy4A==

gmfavor

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:+t8yT4ZyfPu6cPTO+K9znQ==

fmamdtoppose

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Rwf4FBtP6N+bHJBmKgGQKg==

FMAintensity

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:sJn9xd6O3WaDE3qZHTMMfg==

fmamdtoppose2

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Rwf4FBtP6N+bHJBmKgGQKg==

direction

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:JBKbdKDYSzzEm/TNm96iFg==

moderate

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:WPZwQbw/PYyWiuq33xW5PQ==

intendtovote

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:jtk/DBr57lGuYpgkvc/1hQ==

registered

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Aa8XhdgUDTk49CYqYYDVFQ==

vpcorr

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:vlsZbCUcLV/jYQBmWEkN7A==

sccorr

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:ONqVVhX0qSp4aJzow6IFqA==

vetocorr

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:rn83zhEPUtQHVbw58cI84A==

housecorr

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:9gbLfXQBYU+OqwBrVJbvrw==

knowindex

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:DoNt2FsCaUUR9oWbGOdNCw==

unsophisticated

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Ul0s6EGnhuqtjJ3yQJH7DQ==

morals

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:GZAk7bJJO+ETXX2Cn/L9FQ==

gop

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:0nYKDs8j5yjq4hC5lq1q9A==

democrat

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:oNhsliHBGP+YZ1YUFo0w1A==

protestant

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:To47A+leXLD6pZeEr85bfw==

mormon

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:UHvaXvmFo3KLWLfA4cHPdA==

catholic

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:hUvtuVg89QWxgBl1OUXGWw==

bornagain

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:suNJJKeXRLC7aytWsvPq7A==

howoften

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:s29LWY3OPMIin6RkCx/bLg==

mass

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:nBkaAMjiOgehxRiQHtI4Aw==

florida

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:KtNAx/jvzwMJyMYxIoE0fw==

california

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:r0z5dBxQlLc/WTRuG7ZZXg==

iowa

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:uNtgYmGGGvi3BWX8q43Vaw==

white

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:+geqdtU/6/UVFQ/Oxj9qag==

black

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:leAibEcl8is+SHttm92anA==

hispanic

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:cXt44otzhKL9pasl4hzYWQ==

female

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:MXw5Sf5PXF/TPvnqLO0NbQ==

FMAintensity2

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:Bl9X7rdgHPOsTVc7fkNBJg==

consbornagain

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:/mGnyv+FbEhuOu4WEJ7TTA==

wbornagain

f2529474 Location:

Variable Format: numeric

Notes: UNF:5:g9AALKJ6RyFjcmku9lDgXw==

Interviewing Component

f2529479 Location:

Value

Label

Frequency

Text

101.

National Rolling Cross-Section

2525

Variable Format: numeric

Notes: UNF:5:bA76aJ+k/qvIH+s354NJIw==

Respondent ID

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:h9hVlEZZ/B5bhzC2lavgQw==

Household ID

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:VpQ1MYiBAz6MPrVImEYfMw==

Area Code

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:ftop1zmInO7pxkJTpXOAUw==

State (Two-Letter Abbreviation)

f2529479 Location:

Variable Format: character

Notes: UNF:5:ObZSvnjxIj1ISaZasFSXJA==

State (Numeric Code)

f2529479 Location:

Value

Label

Frequency

Text

45.

SC (South Carolina)

38

26.

MI (Michigan)

73

24.

MD (Maryland)

44

36.

NY (New York)

142

38.

ND (North Dakota)

9

32.

NV (Nevada)

26

56.

WY (Wyoming)

9

16.

ID (Idaho)

13

54.

WV (West Virginia)

16

25.

MA (Massachusetts)

58

37.

NC (North Carolina)

92

33.

NH (New Hampshire)

11

19.

IA (Iowa)

37

53.

WA (Washington)

62

31.

NE (Nebraska)

12

30.

MT (Montana)

7

29.

MO (Missouri)

54

1.

AL (Alabama)

50

13.

GA (Georgia)

72

9.

CT (Connecticut)

33

51.

VA (Virginia)

82

8.

CO (Colorado)

29

22.

LA (Louisiana)

37

17.

IL (Illinois)

79

35.

NM (New Mexico)

10

6.

CA (California)

266

50.

VT (Vermont)

6

42.

PA (Pennsylvania)

150

23.

ME (Maine)

10

49.

UT (Utah)

24

40.

OK (Oklahoma)

30

18.

IN (Indiana)

81

39.

OH (Ohio)

113

48.

TX (Texas)

171

44.

RI (Rhode Island)

6

4.

AZ (Arizona)

39

41.

OR (Oregon)

38

12.

FL (Florida)

123

10.

DE (Delaware)

8

55.

WI (Wisconsin)

75

47.

TN (Tennessee)

50

20.

KS (Kansas)

25

5.

AR (Arkansas)

27

11.

DC (Washington, DC)

3

21.

KY (Kentucky)

43

28.

MS (Mississippi)

27

46.

SD (South Dakota)

6

27.

MN (Minnesota)

58

34.

NJ (New Jersey)

51

Variable Format: numeric

Notes: UNF:5:P81ImOiTylvB8YKyEIgDNA==

Interview Date

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:YoQf9398vK/cfDziuCCv1w==

Interview Start Time

f2529479 Location:

Value

Label

Frequency

Text

9999.

Interview completed in multiple sessions

0

Variable Format: numeric

Notes: UNF:5:0A9/MjDtTGmwKDieic+E6g==

Random Assignment to Question Module A1 or A2

f2529479 Location:

Value

Label

Frequency

Text

1.

Question module A1

1232

2.

Question module A2

1293

Variable Format: numeric

Notes: UNF:5:in7kMnG8rJETi5AsxJS6hQ==

Random Assignment to Question Module B1, B2, or B3

f2529479 Location:

Value

Label

Frequency

Text

1.

Question module B1

861

2.

Question module B2

812

3.

Question module B3

852

Variable Format: numeric

Notes: UNF:5:sabIftZukRJ993Aki/qsww==

Random Assignment to Question Module C1, C2, C3, or C4

f2529479 Location:

Value

Label

Frequency

Text

1.

Question module C1

618

4.

Question module C4

639

3.

Question module C3

625

2.

Question module C2

643

Variable Format: numeric

Notes: UNF:5:bDhO8lXA9xYnTHcOAluOow==

Bush Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

2

12.

Know name but cannot rate

13

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:sN+HH7d769i6A1ae6j4zPQ==

Bush Job Approval

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disapprove

298

4.

Strongly disapprove

799

1.

Strongly approve

752

2.

Somewhat approve

633

998.

Don’t know

34

999.

Refused

9

Variable Format: numeric

Notes: UNF:5:rQgdC6tASb6PREJ6IHEgrQ==

Bush Favorability as Person

f2529479 Location:

Value

Label

Frequency

Text

4.

Very unfavorable

188

999.

Refused

16

2.

Somewhat favorable

311

1.

Very favorable

465

998.

Don’t know

108

3.

Somewhat unfavorable

144

Variable Format: numeric

Notes: UNF:5:VF3xGSnPyLPOI4atCLFaKQ==

Bush Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

34

Variable Format: numeric

Notes: UNF:5:ZiqEUwuexH1rDtous/m6WQ==

Bush Inspiring

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

28

Variable Format: numeric

Notes: UNF:5:yuj1aqOe0qedMSnMQoFllw==

Bush Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

15

Variable Format: numeric

Notes: UNF:5:xXS+7Qg0jI5cvrWtpmsCSg==

Bush Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

38

Variable Format: numeric

Notes: UNF:5:Rdmwf4OGvU6LvPqnPbtWKQ==

Bush Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

48

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:VsngER0JowDR7B3f7nKEVw==

Bush Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

16

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:ah0Vs34bdV2GLRCm8FkgEw==

Bush Reckless

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

21

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:cUrsyQKvIBYK8MsVj/JGcA==

Bush Steady

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

25

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:GsRTMBL+6kMDjZnnavaU3g==

Bush Says One Thing, Does Another

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

24

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:jxqGHm+1pPh+y1pNxpZBBA==

Bush Has Right Experience

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

12

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:ZiaAB8hB10qMKlUrZyAmSQ==

Bush Easy to Like

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

38

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:uzLlF7JeRQwgguFlujTXkw==

Bush Will Make Tough Decisions

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

15

Variable Format: numeric

Notes: UNF:5:n9ghCLQLKoAkF4zY+YteFw==

Bush Has Clear Vision

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

16

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:zTjlHMk1e0Q4oX+IL0bQig==

Bush Changes His Mind

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

29

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:ZYP4Lsc04a5lsCa3j2YI9A==

Bush Too Liberal

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

20

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:k2pol4luedogDPQl2JBIAQ==

Bush Too Conservative

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

13

Variable Format: numeric

Notes: UNF:5:U8ypNgORK/Fh+N+yY32aoQ==

Bush Out of Touch

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

22

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:m4nzr2bEb1cWkM+Qa0u+Uw==

Bush Stubborn

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Arrogant

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Optimistic

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Effective

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Decisive

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Flip-Flops

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Honest

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Not Willing to Admit Mistakes

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Kept Promises

f2529479 Location:

Value

Label

Frequency

Text

4.

Few

0

999.

Refused

0

1.

All

0

2.

Most

0

3.

Some

0

5.

None

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

2.

Conservative

1053

5.

Very liberal

91

1.

Very conservative

526

3.

Moderate

504

998.

Don’t know

127

4.

Liberal

186

999.

Refused

18

Variable Format: numeric

Notes: UNF:5:mfAWZHPHxxjFeF1BOB4KiA==

Bush Makes Me Angry

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

7

5.

Does not make angry

443

1.

Yes, very

145

3.

Little

57

999.

Refused

8

2.

Somewhat

136

4.

Not very

16

Variable Format: numeric

Notes: UNF:5:7x3faxByFLc9iKjceWgeHQ==

Bush Makes Me Uneasy

f2529479 Location:

Value

Label

Frequency

Text

3.

Little

0

2.

Somewhat

0

998.

Don’t know

0

999.

Refused

0

5.

Does not make uneasy

0

1.

Yes, very

0

4.

Not very

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Makes Me Afraid

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Little

0

2.

Somewhat

0

1.

Yes, very

0

5.

Does not make afraid

0

4.

Not very

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

3

11.

Do not recognize name

76

12.

Know name but cannot rate

154

Variable Format: numeric

Notes: UNF:5:Pw+RBh/TQ6JQMiNisG8qUQ==

Kerry Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

232

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:37wCjTej9Fd1iPGOMHUlpQ==

Kerry Inspiring

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

203

Variable Format: numeric

Notes: UNF:5:6+TXQlUvKe1zDQcggz8nEA==

Kerry Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

241

Variable Format: numeric

Notes: UNF:5:rR+tLqmdPB4/O5CQa3ORpw==

Kerry Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

260

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:e//gr7pPmagZUt6yk9Lf5A==

Kerry Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

252

Variable Format: numeric

Notes: UNF:5:bQtnrGU/M6CqT9MQao834w==

Kerry Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

114

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:Ul19jz7M81uNvVYW5lp/3g==

Kerry Reckless

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

150

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:D7lEBzz9sXa8HnBcYCEmJw==

Kerry Steady

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

91

Variable Format: numeric

Notes: UNF:5:yYbEHg8uGOS916x0FuzVvg==

Kerry Says One Thing, Does Another

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

123

Variable Format: numeric

Notes: UNF:5:ubo4ge6UCO814Pm2QPQAng==

Kerry Has Right Experience

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

88

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:m6K0ifyfOyTCz8ylTCNTig==

Kerry Easy to Like

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

87

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:wQq0n+VujlHnErQK4w0ETg==

Kerry Will Make Tough Decisions

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

96

Variable Format: numeric

Notes: UNF:5:kh5aeViEVSWVClYO+0ReuA==

Kerry Has Clear Vision

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

87

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:vtsZZUO2yLWoi9OmvfDITw==

Kerry Changes His Mind

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

109

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:tG3W2lJILhd3s4Y8Xul04w==

Kerry Too Liberal

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

52

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:TvZWA80DzcPhQc6ZJC1EAA==

Kerry Too Conservative

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

46

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:5IgN005bF/fPTKNuClt8Sg==

Kerry Out of Touch

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

92

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:BeE7rBMzerAQ+YL8x8LKIA==

Kerry Stubborn

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Arrogant

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Optimistic

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Effective

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Decisive

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Flip-Flops

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Honest

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Not Willing to Admit Mistakes

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

3.

Moderate

731

998.

Don’t know

264

2.

Conservative

188

5.

Very liberal

310

999.

Refused

11

4.

Liberal

739

1.

Very conservative

49

Variable Format: numeric

Notes: UNF:5:IJnRKRB+ddiDBOZbVaOLVg==

Kerry Makes Me Angry

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat

64

1.

Yes, very

43

999.

Refused

4

4.

Not very

17

3.

Little

39

5.

Does not make angry

599

998.

Don’t know

46

Variable Format: numeric

Notes: UNF:5:5AqWSwd6PQhsYuw6kU136w==

Kerry Makes Me Uneasy

f2529479 Location:

Value

Label

Frequency

Text

4.

Not very

0

999.

Refused

0

3.

Little

0

5.

Does not make uneasy

0

1.

Yes, very

0

998.

Don’t know

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Makes Me Afraid

f2529479 Location:

Value

Label

Frequency

Text

3.

Little

0

2.

Somewhat

0

999.

Refused

0

4.

Not very

0

1.

Yes, very

0

998.

Don’t know

0

5.

Does not make afraid

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cheney Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

5

12.

Know name but cannot rate

102

11.

Do not recognize name

63

Variable Format: numeric

Notes: UNF:5:tPq1uZYpoS5J2qCdmAKCzg==

Know Cheney Is Vice Presidential Candidate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Dick Cheney (correct)

0

2.

Other name

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cheney Has Right Experience to Be President

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

999.

Refused

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Edwards Is Vice Presidential Candidate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Other name

0

998.

Don’t know

0

1.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Inspiring

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Reckless

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Has Right Experience to Be President

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Liberal

0

3.

Moderate

0

998.

Don’t know

0

2.

Conservative

0

1.

Very conservative

0

5.

Very liberal

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Nader Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

50

999.

Refused

1

11.

Do not recognize name

38

Variable Format: numeric

Notes: UNF:5:RGMeYqJ3XTi6kucU4azZJg==

Nader Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

2.

Conservative

0

1.

Very conservative

0

5.

Very liberal

0

4.

Liberal

0

998.

Don’t know

0

999.

Refused

0

3.

Moderate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know name but cannot rate

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Inspiring

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Reckless

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clark Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Moderate

0

1.

Very conservative

0

5.

Very liberal

0

4.

Liberal

0

2.

Conservative

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

999.

Refused

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Inspiring

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Reckless

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Dean Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

3.

Moderate

0

998.

Don’t know

0

999.

Refused

0

1.

Very conservative

0

4.

Liberal

0

2.

Conservative

0

5.

Very liberal

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

999.

Refused

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Inspiring

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Reckless

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gephardt Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

2.

Conservative

0

4.

Liberal

0

998.

Don’t know

0

1.

Very conservative

0

3.

Moderate

0

5.

Very liberal

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

999.

Refused

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Cares About People Like Me

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Inspiring

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Strong Leader

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Trustworthy

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Shares My Values

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Knowledgeable

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Reckless

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Lieberman Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Conservative

0

4.

Liberal

0

1.

Very conservative

0

998.

Don’t know

0

5.

Very liberal

0

3.

Moderate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

More Likely to Vote for Moderate or Liberal Democratic Candidate

f2529479 Location:

Value

Label

Frequency

Text

2.

Liberal

0

3.

Either

0

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

1.

Moderate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

More Likely to Vote for Democratic Candidate With Washington Experience

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Washington experience

0

2.

Outside of Washington

0

3.

Either

0

999.

Refused

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

3.

John Edwards

0

6.

Joe Lieberman

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

4.

Richard Gephardt

0

2.

Howard Dean

0

1.

Wesley Clark

0

6.

Joe Lieberman

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

2.

Howard Dean

0

3.

John Edwards

0

6.

Joe Lieberman

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

6.

Joe Lieberman

0

3.

John Edwards

0

2.

Howard Dean

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to Democratic Candidates (2/11/04–2/17/04)

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Ashcroft Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

77

11.

Do not recognize name

76

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:oSqOpaKtGOAhTzgDLFrVfA==

Laura Bush Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

12.

Know name but cannot rate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bill Clinton Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Hillary Clinton Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Giuliani Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

30

11.

Do not recognize name

34

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:Jiorrwu2LVtjV7STppg4iA==

Gore Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Heinz Kerry Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

999.

Refused

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Limbaugh Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

6

11.

Do not recognize name

116

12.

Know name but cannot rate

101

Variable Format: numeric

Notes: UNF:5:Lr9ncsFJK2YfPpYmETXrdA==

McCain Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Rice Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

999.

Refused

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Schwarzenegger Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

999.

Refused

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Howard Stern Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

What Jane Fonda Is Known For, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Actress

216

998.

Don’t know

71

2.

Exercise videos/programs

43

7.

Other

55

3.

Wife / former wife of Ted Turner

13

4.

Anti-war protester

108

6.

Henry Fonda’s daughter

3

5.

Hanoi Jane

20

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:Aa1RZ/Zh8yRLYygbxwAIZQ==

What Jane Fonda Is Known For, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

Wife / former wife of Ted Turner

28

1.

Actress

0

2.

Exercise videos/programs

32

999.

Refused

0

998.

Don’t know

0

5.

Hanoi Jane

19

7.

Other

13

4.

Anti-war protester

51

6.

Henry Fonda’s daughter

7

Variable Format: numeric

Notes: UNF:5:3InxB+5lJQ8x77nm+SVZAQ==

What Jane Fonda Is Known For, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Henry Fonda’s daughter

10

2.

Exercise videos/programs

0

5.

Hanoi Jane

9

4.

Anti-war protester

22

7.

Other

13

998.

Don’t know

0

3.

Wife / former wife of Ted Turner

11

1.

Actress

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:0zLf/SjC18hlJ/zCpm4Vhw==

What Jane Fonda Is Known For, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Exercise videos/programs

0

3.

Wife / former wife of Ted Turner

0

7.

Other

2

4.

Anti-war protester

7

998.

Don’t know

0

1.

Actress

0

6.

Henry Fonda’s daughter

10

5.

Hanoi Jane

3

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:cNB81i/meS5gn8EJB5Gxbg==

What Jane Fonda Is Known For, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Actress

0

998.

Don’t know

0

999.

Refused

0

7.

Other

0

2.

Exercise videos/programs

0

4.

Anti-war protester

0

6.

Henry Fonda’s daughter

0

3.

Wife / former wife of Ted Turner

0

5.

Hanoi Jane

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

What Jane Fonda Is Known For, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:SjWGUdL6L8rHaJeu4BwatA==

What Herbert Hoover Is Known For, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

139

6.

Vacuum cleaner

10

1.

U.S. president

200

999.

Refused

2

5.

Cross-dresser

3

7.

Hoover Dam

22

8.

Other

42

4.

FBI director

68

2.

Depression / Great Depression

41

3.

Stock market crash

2

Variable Format: numeric

Notes: UNF:5:v6OCtOU43SjuXbFEIbo5cA==

What Herbert Hoover Is Known For, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Depression / Great Depression

22

998.

Don’t know

0

5.

Cross-dresser

0

7.

Hoover Dam

18

999.

Refused

0

6.

Vacuum cleaner

4

8.

Other

8

4.

FBI director

7

3.

Stock market crash

1

1.

U.S. president

0

Variable Format: numeric

Notes: UNF:5:KbipTuugDnbqz1I6g/MMqQ==

What Herbert Hoover Is Known For, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Hoover Dam

3

6.

Vacuum cleaner

0

8.

Other

3

1.

U.S. president

0

2.

Depression / Great Depression

0

4.

FBI director

1

3.

Stock market crash

3

998.

Don’t know

0

999.

Refused

0

5.

Cross-dresser

0

Variable Format: numeric

Notes: UNF:5:VsQe6MrhxBiYfYtKvr5OQQ==

What Herbert Hoover Is Known For, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Depression / Great Depression

0

3.

Stock market crash

0

1.

U.S. president

0

999.

Refused

0

4.

FBI director

0

6.

Vacuum cleaner

0

8.

Other

1

5.

Cross-dresser

0

7.

Hoover Dam

1

Variable Format: numeric

Notes: UNF:5:NKL3VUVE8xlZcV7ZWOX7tQ==

What Herbert Hoover Is Known For, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

FBI director

0

7.

Hoover Dam

0

3.

Stock market crash

0

999.

Refused

0

5.

Cross-dresser

0

998.

Don’t know

0

1.

U.S. president

0

8.

Other

0

6.

Vacuum cleaner

0

2.

Depression / Great Depression

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

What Herbert Hoover Is Known For, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:e/I1WQ4RMP0wvgzhOecxlA==

Reagan Accomplishments in Domestic Policy

f2529479 Location:

Value

Label

Frequency

Text

2.

Good

0

999.

Refused

0

1.

Excellent

0

4.

Poor

0

998.

Don’t know

0

3.

Fair

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reagan Accomplishments in Foreign Policy

f2529479 Location:

Value

Label

Frequency

Text

3.

Fair

0

1.

Excellent

0

2.

Good

0

4.

Poor

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry More Like Reagan as Politician

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

3.

Both the same

0

1.

Bush

0

4.

Neither is like Reagan

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry More Like Reagan as Leader

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

1.

Bush

0

3.

Both the same

0

999.

Refused

0

4.

Neither is like Reagan

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry More Like Reagan as Person

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither is like Reagan

0

1.

Bush

0

3.

Both the same

0

999.

Refused

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Congressional Republicans Job Approval

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Strongly disapprove

0

998.

Don’t know

0

1.

Strongly approve

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Congressional Democrats Job Approval

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat disapprove

0

998.

Don’t know

0

2.

Somewhat approve

0

1.

Strongly approve

0

4.

Strongly disapprove

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Labor Unions Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

4

12.

Know group but cannot rate

21

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:Xo8Kg9ea/itCXwx5t2tFbQ==

Corporations Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

6

12.

Know group but cannot rate

35

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:ZoKPDJKbUUmJQO/InVXlfw==

Feminist Groups Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

29

12.

Know group but cannot rate

34

999.

Refused

10

Variable Format: numeric

Notes: UNF:5:ba4GB18CODWFx4SzI9akHw==

Gay Groups Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

25

999.

Refused

11

11.

Do not recognize group

5

Variable Format: numeric

Notes: UNF:5:bUANdxCkubSIVOebDheH5g==

Environmental Groups Favorability

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

0

999.

Refused

0

12.

Know group but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

AARP Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know group but cannot rate

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

NRA Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

0

11.

Do not recognize group

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Christian Groups Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

73

11.

Do not recognize group

36

999.

Refused

28

Variable Format: numeric

Notes: UNF:5:xz85Ti9t+sQNOkNAyojH6A==

Protestants Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

49

999.

Refused

45

11.

Do not recognize group

10

Variable Format: numeric

Notes: UNF:5:M939kX+zd4a3W13rOfmLDQ==

Catholics Favorability

f2529479 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

32

11.

Do not recognize group

2

999.

Refused

34

Variable Format: numeric

Notes: UNF:5:ff5ZRqaMjviVlYhBT0Tc3A==

Jewish People Favorability (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

5

999.

Refused

45

12.

Know group but cannot rate

57

Variable Format: numeric

Notes: UNF:5:5cKUwweCmeyZjnbPTjOslw==

Jewish People Favorability (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize group

0

12.

Know group but cannot rate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Muslims Favorability

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

48

11.

Do not recognize group

16

12.

Know group but cannot rate

79

Variable Format: numeric

Notes: UNF:5:1W7xXZHEzqLuFVRDOGSCSg==

Random Question Order for cAA01

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:RUzTExcrskNiW0OoR9rLfA==

Random Question Order for cAB01

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:4XNxVbTJM/OT0zD9kaW4pA==

Random Question Order for cAC01

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:pzmW3WQh3l1CGQKyy+Xxfg==

Random Question Order for cAC04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC15

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Vd33han7EvFBGMy0bCvuPw==

Random Question Order for cAC17

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC26

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC35

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC44

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD01

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:BRteN2gdssa5RqooWaq2IQ==

Random Question Order for cAD02

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD03

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD05

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:7niCd4Y/ftWjPAEJTwukVA==

Random Question Order for cAD06

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD07

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD08

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:5lKjKUUD9X9knDMqm3dEHg==

Random Question Order for cAD09

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD10

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD11

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAD12

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cUA04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:WnJNbiMxu2EgTUAUyK2TsQ==

Random Question Order for cAA04–cAA28

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:9bhpc/bDXWOkh++hiSwcyA==

Random Question Order for cAB02–cAB26

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Xaatk1jZfdkxb8n9Jtmyog==

Random Question Order for cAC06–cAC12

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC18–cAC24

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC27–cAC33

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC36–cAC42

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC45–cAC51

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:HqAb06776NbleeSe8WeJUw==

Random Question Order for cAA05

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:iFnreAQK1yW4dV2cnnF3Qw==

Random Question Order for cAA06

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:HAgfmq6Wfs3vfCoF/LLA8g==

Random Question Order for cAA07

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:YKzSfL2SN5EFdTZXWcDs0g==

Random Question Order for cAA08

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Cq14sscmp1YSr/VV3XxYiw==

Random Question Order for cAA09

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:pLD/3Ds+F6J9gMyWGJPLLA==

Random Question Order for cAA10

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:UILaA3q3ASA0eCPWKrxZRw==

Random Question Order for cAA11

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:t5T8ktWPg9VrEv9aD5htwA==

Random Question Order for cAA12

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:yUAE4OfZpg3J8ijmJTmztg==

Random Question Order for cAA13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:5xuROO0+eolaoSyslMJiZg==

Random Question Order for cAA14

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:88WF2KC8jIls9nV3NZtBaQ==

Random Question Order for cAA15

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:j6yLVbCQhLzVpsb8v8XjmA==

Random Question Order for cAA16

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Fig/fAW2gwTyXvML/npsXQ==

Random Question Order for cAA17

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:lAqbw9kyJ6FpZfOSjqmYyQ==

Random Question Order for cAA18

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:d1/sc7YsRt0oIdVBf18Yag==

Random Question Order for cAA19

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:GW9+Z2QdKyPbqX9W1eiKdw==

Random Question Order for cAA20

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:bGjgNQv7hgvc96sOaGZDVw==

Random Question Order for cAA21

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA22

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA23

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA24

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA25

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA26

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA27

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAA28

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB02

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:EQQ0soyTkH/NNsvhWUJmAw==

Random Question Order for cAB03

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:8Vl843lroCFrkSOPk1opzw==

Random Question Order for cAB04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rtZhG7IntHe3hDOZ0zjJhQ==

Random Question Order for cAB05

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:USSOXCr6N6v/512X6GzZcg==

Random Question Order for cAB06

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:A2dy97Z64pWErteAKU0x0A==

Random Question Order for cAB07

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Ssgxct2A/dLpumTOmUtMMQ==

Random Question Order for cAB08

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Lmlxby2XCj1Oor5XJ/ZMiw==

Random Question Order for cAB09

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:ThWzr++a3mDPoQssMMt/DA==

Random Question Order for cAB10

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:5qVfXIgaei758Ck9GQ3Ssg==

Random Question Order for cAB11

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Xr6GSkNKqgeCS2PRK9Z0uQ==

Random Question Order for cAB12

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:So5xZ+BMbY4MWeBEdU/C+A==

Random Question Order for cAB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:EaorAQNtZ9pF2n+W2BfLhg==

Random Question Order for cAB14

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:4HnCGyepAIpgnO7UbNBAlA==

Random Question Order for cAB15

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:bhl0P8VPJjmAVQtPP+lMEQ==

Random Question Order for cAB16

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:KVjwJJZNewNMy8WwKZ9/GQ==

Random Question Order for cAB17

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:97wKUnGnPmVUVKh6xika0w==

Random Question Order for cAB18

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:ulzbxPpZp3sQMFBhrSvsYg==

Random Question Order for cAB19

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB20

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB21

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB22

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB23

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB24

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB25

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAB26

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC06

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC07

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC08

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC09

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC10

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC11

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC12

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC18

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC19

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC20

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC21

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC22

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC23

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC24

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC27

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC28

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC29

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC30

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC31

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC32

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC33

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC36

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC37

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC38

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC39

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC40

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC41

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC42

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC45

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC46

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC47

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC48

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC49

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC50

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cAC51

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Country Going in Right Direction (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

1.

Right

917

999.

Refused

49

2.

Wrong

1353

998.

Don’t know

206

Variable Format: numeric

Notes: UNF:5:y1a6FgHkLKXnrmI2ckVQcQ==

Country Going in Right Direction (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Right

0

2.

Wrong

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #1), 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

17.

National/homeland security

72

20.

Jobs going to other countries / outsourcing

0

998.

Don’t know

68

7.

Health care

150

19.

Immigration / illegal aliens

22

22.

Other

232

21.

Dislike Bush / current leaders

0

13.

Taxes

14

14.

Terrorism / war on terrorism

232

2.

Education / education problems

103

10.

Energy / rising gas prices

7

4.

Poverty/homelessness

54

11.

Environment

11

9.

Drugs

29

3.

Children’s issues

24

999.

Refused

7

16.

Foreign policy

72

8.

Violence/crime

33

1.

Economy

491

6.

Lack of moral/family values

154

15.

Iraq war/situation

199

12.

Politicians/government

148

5.

Lack of religion/faith

59

18.

Unemployment / job security / layoffs

344

Variable Format: numeric

Notes: UNF:5:F0qjpnQDSVYS+BzKspqBhA==

Most Important Problem (Wording #1), 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Economy

0

10.

Energy / rising gas prices

0

19.

Immigration / illegal aliens

3

7.

Health care

18

4.

Poverty/homelessness

8

12.

Politicians/government

10

18.

Unemployment / job security / layoffs

83

8.

Violence/crime

5

11.

Environment

2

16.

Foreign policy

10

998.

Don’t know

0

9.

Drugs

2

6.

Lack of moral/family values

8

20.

Jobs going to other countries / outsourcing

0

22.

Other

51

2.

Education / education problems

6

14.

Terrorism / war on terrorism

12

3.

Children’s issues

2

17.

National/homeland security

15

21.

Dislike Bush / current leaders

0

15.

Iraq war/situation

33

5.

Lack of religion/faith

2

999.

Refused

0

13.

Taxes

11

Variable Format: numeric

Notes: UNF:5:3qwnkPtu14orUJmuG16hCA==

Most Important Problem (Wording #1), 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Lack of moral/family values

1

4.

Poverty/homelessness

1

12.

Politicians/government

0

9.

Drugs

2

16.

Foreign policy

4

14.

Terrorism / war on terrorism

2

19.

Immigration / illegal aliens

4

13.

Taxes

0

10.

Energy / rising gas prices

0

18.

Unemployment / job security / layoffs

13

22.

Other

13

15.

Iraq war/situation

6

7.

Health care

2

2.

Education / education problems

0

3.

Children’s issues

0

1.

Economy

0

20.

Jobs going to other countries / outsourcing

0

999.

Refused

0

998.

Don’t know

0

8.

Violence/crime

1

11.

Environment

1

21.

Dislike Bush / current leaders

0

5.

Lack of religion/faith

0

17.

National/homeland security

2

Variable Format: numeric

Notes: UNF:5:jlykpQ6qqRM4vcSRn7g3JQ==

Most Important Problem (Wording #1), 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Politicians/government

0

9.

Drugs

0

2.

Education / education problems

0

14.

Terrorism / war on terrorism

0

19.

Immigration / illegal aliens

0

16.

Foreign policy

0

8.

Violence/crime

1

21.

Dislike Bush / current leaders

0

3.

Children’s issues

0

6.

Lack of moral/family values

0

17.

National/homeland security

0

10.

Energy / rising gas prices

0

998.

Don’t know

0

4.

Poverty/homelessness

0

20.

Jobs going to other countries / outsourcing

0

1.

Economy

0

18.

Unemployment / job security / layoffs

3

7.

Health care

0

11.

Environment

0

15.

Iraq war/situation

1

5.

Lack of religion/faith

0

13.

Taxes

0

22.

Other

4

Variable Format: numeric

Notes: UNF:5:odKdtwkp/P9hklpqrQLb3A==

Most Important Problem (Wording #1), 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Education / education problems

0

15.

Iraq war/situation

0

17.

National/homeland security

0

1.

Economy

0

14.

Terrorism / war on terrorism

0

5.

Lack of religion/faith

0

3.

Children’s issues

0

21.

Dislike Bush / current leaders

0

20.

Jobs going to other countries / outsourcing

0

7.

Health care

0

998.

Don’t know

0

8.

Violence/crime

0

10.

Energy / rising gas prices

0

13.

Taxes

0

22.

Other

2

9.

Drugs

0

999.

Refused

0

11.

Environment

0

18.

Unemployment / job security / layoffs

0

16.

Foreign policy

0

12.

Politicians/government

0

6.

Lack of moral/family values

0

4.

Poverty/homelessness

0

19.

Immigration / illegal aliens

0

Variable Format: numeric

Notes: UNF:5:AMjmGH1oQjcKl74F3AmY6Q==

Most Important Problem (Wording #1), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:YjnELSsrzlzQSX6MXWmQAQ==

Don’t-Know Prompt for cCA03

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Just your best

89

0.

Respondent answered without prompting

2436

Variable Format: numeric

Notes: UNF:5:Gkmm3IUxys4LK14R7O1jyA==

Most Important Problem (Wording #2), 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

Poverty/homelessness

0

20.

Jobs going to other countries / outsourcing

0

6.

Lack of moral/family values

0

9.

Drugs

0

19.

Immigration / illegal aliens

0

998.

Don’t know

0

11.

Environment

0

5.

Lack of religion/faith

0

22.

Other

0

16.

Foreign policy

0

8.

Violence/crime

0

17.

National/homeland security

0

13.

Taxes

0

12.

Politicians/government

0

10.

Energy / rising gas prices

0

21.

Dislike Bush / current leaders

0

3.

Children’s issues

0

7.

Health care

0

999.

Refused

0

15.

Iraq war/situation

0

1.

Economy

0

2.

Education / education problems

0

18.

Unemployment / job security / layoffs

0

14.

Terrorism / war on terrorism

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #2), 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

18.

Unemployment / job security / layoffs

0

11.

Environment

0

13.

Taxes

0

6.

Lack of moral/family values

0

5.

Lack of religion/faith

0

21.

Dislike Bush / current leaders

0

998.

Don’t know

0

15.

Iraq war/situation

0

17.

National/homeland security

0

8.

Violence/crime

0

10.

Energy / rising gas prices

0

3.

Children’s issues

0

22.

Other

0

19.

Immigration / illegal aliens

0

16.

Foreign policy

0

9.

Drugs

0

999.

Refused

0

12.

Politicians/government

0

1.

Economy

0

4.

Poverty/homelessness

0

2.

Education / education problems

0

20.

Jobs going to other countries / outsourcing

0

7.

Health care

0

14.

Terrorism / war on terrorism

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #2), 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

21.

Dislike Bush / current leaders

0

15.

Iraq war/situation

0

2.

Education / education problems

0

12.

Politicians/government

0

22.

Other

0

1.

Economy

0

4.

Poverty/homelessness

0

5.

Lack of religion/faith

0

3.

Children’s issues

0

19.

Immigration / illegal aliens

0

11.

Environment

0

18.

Unemployment / job security / layoffs

0

17.

National/homeland security

0

8.

Violence/crime

0

6.

Lack of moral/family values

0

20.

Jobs going to other countries / outsourcing

0

9.

Drugs

0

13.

Taxes

0

16.

Foreign policy

0

7.

Health care

0

14.

Terrorism / war on terrorism

0

10.

Energy / rising gas prices

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #2), 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Health care

0

2.

Education / education problems

0

999.

Refused

0

1.

Economy

0

998.

Don’t know

0

10.

Energy / rising gas prices

0

11.

Environment

0

9.

Drugs

0

22.

Other

0

14.

Terrorism / war on terrorism

0

12.

Politicians/government

0

15.

Iraq war/situation

0

13.

Taxes

0

18.

Unemployment / job security / layoffs

0

8.

Violence/crime

0

17.

National/homeland security

0

5.

Lack of religion/faith

0

19.

Immigration / illegal aliens

0

6.

Lack of moral/family values

0

3.

Children’s issues

0

20.

Jobs going to other countries / outsourcing

0

21.

Dislike Bush / current leaders

0

16.

Foreign policy

0

4.

Poverty/homelessness

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #2), 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

22.

Other

0

999.

Refused

0

4.

Poverty/homelessness

0

20.

Jobs going to other countries / outsourcing

0

18.

Unemployment / job security / layoffs

0

12.

Politicians/government

0

8.

Violence/crime

0

15.

Iraq war/situation

0

11.

Environment

0

998.

Don’t know

0

17.

National/homeland security

0

1.

Economy

0

14.

Terrorism / war on terrorism

0

21.

Dislike Bush / current leaders

0

6.

Lack of moral/family values

0

10.

Energy / rising gas prices

0

7.

Health care

0

19.

Immigration / illegal aliens

0

2.

Education / education problems

0

3.

Children’s issues

0

16.

Foreign policy

0

5.

Lack of religion/faith

0

13.

Taxes

0

9.

Drugs

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Most Important Problem (Wording #2), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCA05

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Just your best

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Iraq or Economy More Important in Vote

f2529479 Location:

Value

Label

Frequency

Text

3.

Something else will be important

80

999.

Refused

3

2.

Economy

912

1.

Iraq

172

998.

Don’t know

54

4.

Would not vote

11

Variable Format: numeric

Notes: UNF:5:kt3k3AS5WmKFy07w49Gw+Q==

Country’s Economy Today

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

21

4.

Poor

791

3.

Fair

1104

2.

Good

571

999.

Refused

1

1.

Excellent

37

Variable Format: numeric

Notes: UNF:5:yqh89EzVq+EY8oAwgZldow==

Country’s Economy Last Year

f2529479 Location:

Value

Label

Frequency

Text

3.

Same

0

1.

Much better

0

5.

Much worse

0

998.

Don’t know

0

999.

Refused

0

4.

Somewhat worse

0

2.

Somewhat better

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Country’s Economy Next Year

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat better

1121

5.

Much worse

70

998.

Don’t know

117

1.

Much better

247

999.

Refused

11

4.

Somewhat worse

254

3.

Same

705

Variable Format: numeric

Notes: UNF:5:pEbCH0/ugWHpA0XIMNxbjg==

Personal Economic Situation Today

f2529479 Location:

Value

Label

Frequency

Text

3.

Fair

848

1.

Excellent

217

998.

Don’t know

7

4.

Poor

394

2.

Good

1053

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:/uVs6qY4m8xnB2vmdKyBlg==

Personal Economic Situation Last Year

f2529479 Location:

Value

Label

Frequency

Text

5.

Much worse

0

999.

Refused

0

2.

Somewhat better

0

998.

Don’t know

0

1.

Much better

0

4.

Somewhat worse

0

3.

Same

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy

f2529479 Location:

Value

Label

Frequency

Text

1.

Terrorism

0

998.

Don’t know

0

3.

Tax cuts

0

5.

Something else responsible

0

999.

Refused

0

4.

All equally responsible

0

2.

Iraq

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Aware Economy Grew 7 Percent

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Economy Will Continue to Grow

f2529479 Location:

Value

Label

Frequency

Text

3.

Do not believe economy grew

0

1.

Continue

0

2.

One-time

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Approve of Bush Handling Economy

f2529479 Location:

Value

Label

Frequency

Text

1.

Approve

1108

2.

Disapprove

1336

999.

Refused

11

998.

Don’t know

70

Variable Format: numeric

Notes: UNF:5:9lmoQWKNo3DJeFCLRYxZsA==

Bush Policies Are Improving Economy

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

122

2.

Worse

940

3.

No effect

720

1.

Better

732

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:WyuzWj3IwIUgvoJsUdeP+g==

Trust Bush or Kerry on Economy

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

3.

Trust both the same

0

1.

Bush

0

4.

Trust neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Will Do Better Than Kerry on Economy

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

3.

Will do same job

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Reducing Taxes

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

84

3.

Somewhat oppose

313

5.

Neither favor nor oppose

81

1.

Strongly favor

1200

2.

Somewhat favor

522

4.

Strongly oppose

313

Variable Format: numeric

Notes: UNF:5:MMLgRjwvB8k/2dR482L/qQ==

Taxes Will Increase if Bush Elected

f2529479 Location:

Value

Label

Frequency

Text

2.

Down

0

1.

Up

0

998.

Don’t know

0

999.

Refused

0

3.

Same

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Taxes Will Increase if Kerry Elected

f2529479 Location:

Value

Label

Frequency

Text

1.

Up

0

998.

Don’t know

0

2.

Down

0

3.

Same

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

1.

Strongly favor

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Repealing Bush Tax Cuts for Wealthy

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

247

2.

Somewhat favor

142

4.

Strongly oppose

196

3.

Somewhat oppose

147

999.

Refused

13

998.

Don’t know

67

Variable Format: numeric

Notes: UNF:5:WsnwmQcmAdApmKXuOjvN2A==

Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

6

1.

Favor

252

998.

Don’t know

50

2.

Oppose

115

Variable Format: numeric

Notes: UNF:5:CFn3SPp2QAhK6fUchGFzeg==

Who Has Benefited Most From Bush Tax Cuts

f2529479 Location:

Value

Label

Frequency

Text

2.

$100,000–$300,000

0

4.

Less than $50,000

0

1.

Greater than $300,000

0

3.

$50,000–$100,000

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Personally Benefited From Bush Tax Cuts

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

20

999.

Refused

2

4.

Not at all

295

1.

Great deal

41

2.

Some

233

3.

Not much

221

Variable Format: numeric

Notes: UNF:5:+/Lf0s6Bbs16b15Okz1glg==

Personally Paying More or Less Taxes This Year

f2529479 Location:

Value

Label

Frequency

Text

2.

Less

0

1.

More

0

999.

Refused

0

3.

Same

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Paying More Taxes This Year

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

More income

0

2.

Other

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Paying Less Taxes This Year

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Less income

0

3.

Other

0

2.

Tax cuts

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

998.

Don’t know

0

4.

Neither

0

999.

Refused

0

1.

Bush (correct)

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB25

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Income Level at Which Kerry Would Repeal Bush Tax Cuts

f2529479 Location:

Value

Label

Frequency

Text

3.

$200,000 (correct)

0

2.

$100,000

0

1.

$50,000

0

4.

$500,000

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB27

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Howard Dean

0

4.

Richard Gephardt

0

10.

Other

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

998.

Don’t know

0

7.

Joe Lieberman

0

3.

John Edwards

0

5.

John Kerry (correct)

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

5.

John Kerry (correct)

0

3.

John Edwards

0

2.

Howard Dean

0

998.

Don’t know

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

999.

Refused

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

998.

Don’t know

0

2.

Howard Dean

0

3.

John Edwards

0

10.

Other

0

999.

Refused

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

10.

Other

0

999.

Refused

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

998.

Don’t know

0

7.

Joe Lieberman

0

3.

John Edwards

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

5.

John Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

10.

Other

0

2.

Howard Dean

0

999.

Refused

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB29

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

10.

Other

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

8.

Carol Moseley Braun (correct)

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

4.

Richard Gephardt

0

999.

Refused

0

3.

John Edwards

0

998.

Don’t know

0

9.

Al Sharpton (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Other

0

7.

Joe Lieberman

0

998.

Don’t know

0

3.

John Edwards

0

999.

Refused

0

1.

Wesley Clark

0

5.

John Kerry

0

8.

Carol Moseley Braun (correct)

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

4.

Richard Gephardt

0

9.

Al Sharpton (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

998.

Don’t know

0

999.

Refused

0

5.

John Kerry

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

9.

Al Sharpton (correct)

0

10.

Other

0

8.

Carol Moseley Braun (correct)

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Al Sharpton (correct)

0

1.

Wesley Clark

0

5.

John Kerry

0

6.

Dennis Kucinich

0

3.

John Edwards

0

999.

Refused

0

10.

Other

0

8.

Carol Moseley Braun (correct)

0

2.

Howard Dean

0

998.

Don’t know

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun (correct)

0

5.

John Kerry

0

7.

Joe Lieberman

0

2.

Howard Dean

0

1.

Wesley Clark

0

999.

Refused

0

10.

Other

0

9.

Al Sharpton (correct)

0

3.

John Edwards

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB31

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Estate Tax (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Strongly oppose

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Reducing Estate Tax

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Both

0

4.

Neither

0

998.

Don’t know

0

1.

Bush (correct)

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB37

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Both

0

998.

Don’t know

0

2.

Kerry

0

4.

Neither

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB39

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Reducing Estate Tax

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Both

0

998.

Don’t know

0

1.

Bush

0

4.

Neither

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB41

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Favor

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Strongly favor

0

2.

Somewhat favor

0

999.

Refused

0

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

2.

Kerry (correct)

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB46

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

2.

Kerry (correct)

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB48

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Wants to Raise Taxes $900 Billion

f2529479 Location:

Value

Label

Frequency

Text

4.

Definitely not true

0

2.

Probably true

0

999.

Refused

0

1.

Definitely true

0

3.

Probably not true

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Voted for Higher Taxes 350 Times

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Probably true

0

4.

Definitely not true

0

3.

Probably not true

0

1.

Definitely true

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Wants to Raise Gas Tax

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Definitely true

0

2.

Probably true

0

999.

Refused

0

4.

Definitely not true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Raided Social Security for Tax Cuts

f2529479 Location:

Value

Label

Frequency

Text

3.

Probably not true

0

999.

Refused

0

1.

Definitely true

0

998.

Don’t know

0

4.

Definitely not true

0

2.

Probably true

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Doing More to Balance Budget

f2529479 Location:

Value

Label

Frequency

Text

1.

More

0

2.

Same

0

4.

Nothing

0

3.

Less

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Tax Cuts or Spending More Responsible for Deficit

f2529479 Location:

Value

Label

Frequency

Text

2.

Spending increases

0

999.

Refused

0

1.

Tax cuts

0

3.

Something else responsible

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Tax Cuts or Spending More Responsible for Deficit, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Domestic or Foreign Spending More Responsible for Deficit

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Defense and foreign

0

999.

Refused

0

3.

Both equally responsible

0

1.

Domestic

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Best Way to Reduce Deficit

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

2.

Reduce spending

510

3.

Reduce Social Security and Medicare

10

998.

Don’t know

16

1.

Increase taxes

68

4.

Something else is best way

38

Variable Format: numeric

Notes: UNF:5:Z4+MsKniA8QsgvAaIOcDCg==

Best Way to Reduce Deficit, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:2HCB95iQcngn1rikaFKMhQ==

Domestic or Foreign Spending Cuts Best Way to Reduce Deficit

f2529479 Location:

Value

Label

Frequency

Text

3.

Both equally

33

999.

Refused

12

2.

Defense and foreign

346

998.

Don’t know

44

1.

Domestic

75

Variable Format: numeric

Notes: UNF:5:mbhEHH0rbwAty4QRFFYnFQ==

Know if Bush or Kerry Favors Cutting Deficit in Half

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Both (correct)

0

4.

Neither

0

2.

Kerry

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB59

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Trust Republicans or Democrats on Deficit

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

7

3.

Trust both the same

16

2.

Democrats

385

1.

Republicans

332

4.

Trust neither

115

998.

Don’t know

81

Variable Format: numeric

Notes: UNF:5:tzjMDFh13gJNyjDXNGniGA==

Jobs Available in Community

f2529479 Location:

Value

Label

Frequency

Text

1.

Plenty

211

999.

Refused

1

2.

Difficult to find

406

3.

Depends on the type of job

39

998.

Don’t know

29

Variable Format: numeric

Notes: UNF:5:pxY62BxbmMxUUOrczOzw2Q==

Know Number of Jobs Gained Under Bush

f2529479 Location:

Value

Label

Frequency

Text

1.

Gained more

0

998.

Don’t know

0

2.

Lost more

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Three Million Jobs Lost Under Bush

f2529479 Location:

Value

Label

Frequency

Text

3.

Probably not true

0

4.

Definitely not true

0

998.

Don’t know

0

1.

Definitely true

0

2.

Probably true

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Increasing Minimum Wage

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

1.

Strongly favor

0

998.

Don’t know

0

999.

Refused

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Increasing Minimum Wage

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

998.

Don’t know

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB66

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With New Overtime Regulations

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

New Overtime Regulations Will Increase Personal Pay

f2529479 Location:

Value

Label

Frequency

Text

1.

Increase

0

3.

No difference

0

999.

Refused

0

998.

Don’t know

0

2.

Decrease

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Who Will Benefit Most From New Overtime Regulations

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Will help neither

0

998.

Don’t know

0

2.

Workers

0

3.

Both

0

1.

Corporations

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Making Union Organizing Easier (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Making Union Organizing Easier (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Strongly oppose

0

999.

Refused

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Both

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB73

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

998.

Don’t know

0

4.

Neither

0

1.

Bush

0

999.

Refused

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB75

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Trade Has Improved U.S. Economy

f2529479 Location:

Value

Label

Frequency

Text

5.

No effect

0

999.

Refused

0

1.

Helped a lot

0

3.

Hurt a little

0

4.

Hurt a lot

0

2.

Helped a little

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Trade Has Improved Personal Economic Situation

f2529479 Location:

Value

Label

Frequency

Text

1.

Helped a lot

0

2.

Helped a little

0

998.

Don’t know

0

3.

Hurt a little

0

4.

Hurt a lot

0

999.

Refused

0

5.

No effect

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Encouraging Trade

f2529479 Location:

Value

Label

Frequency

Text

2.

Encourage a little

0

4.

Discourage a lot

0

998.

Don’t know

0

1.

Encourage a lot

0

999.

Refused

0

3.

Discourage a little

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Favorable to Trade

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favors

0

999.

Refused

0

5.

Neither favors nor opposes

0

1.

Strongly favors

0

998.

Don’t know

0

3.

Somewhat opposes

0

4.

Strongly opposes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Favorable to Trade

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly opposes

0

999.

Refused

0

2.

Somewhat favors

0

998.

Don’t know

0

3.

Somewhat opposes

0

1.

Strongly favors

0

5.

Neither favors nor opposes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor More Trade Agreements

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

323

999.

Refused

21

5.

Neither favor nor oppose

111

998.

Don’t know

342

3.

Somewhat oppose

390

2.

Somewhat favor

707

4.

Strongly oppose

631

Variable Format: numeric

Notes: UNF:5:kthK7LhdKTybzK3ofP1MSA==

Know Democratic Candidate Who Opposes NAFTA, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

999.

Refused

0

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

10.

Other

0

998.

Don’t know

0

5.

John Kerry

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposes NAFTA, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

9.

Al Sharpton

0

3.

John Edwards (correct)

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

10.

Other

0

999.

Refused

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposes NAFTA, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

998.

Don’t know

0

1.

Wesley Clark

0

2.

Howard Dean

0

10.

Other

0

4.

Richard Gephardt

0

5.

John Kerry

0

9.

Al Sharpton

0

999.

Refused

0

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposes NAFTA, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

3.

John Edwards (correct)

0

998.

Don’t know

0

999.

Refused

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposes NAFTA, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

7.

Joe Lieberman

0

998.

Don’t know

0

999.

Refused

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

10.

Other

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCB83

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Encouraging Outsourcing

f2529479 Location:

Value

Label

Frequency

Text

5.

Stay out

0

1.

Encourage a lot

0

4.

Discourage a lot

0

999.

Refused

0

3.

Discourage a little

0

2.

Encourage a little

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Better at Preventing Outsourcing

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

1.

Bush

0

3.

Both would do the same

0

4.

Neither would do well

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Will Do Better Than Kerry at Preventing Outsourcing

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

3.

Will do same job

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Favors Sending Jobs Overseas

f2529479 Location:

Value

Label

Frequency

Text

4.

Definitely not true

0

3.

Probably not true

0

1.

Definitely true

0

998.

Don’t know

0

999.

Refused

0

2.

Probably true

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Controlling Health Insurance Costs

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Nothing

0

2.

Same

0

1.

More

0

999.

Refused

0

3.

Less

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Spending More on Health Insurance

f2529479 Location:

Value

Label

Frequency

Text

1.

More

878

4.

None

39

998.

Don’t know

37

3.

Less

47

999.

Refused

6

2.

Same

225

Variable Format: numeric

Notes: UNF:5:WtR7hFgC38grVnMxnn0Ccg==

Favor Government Health Insurance for Children (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Health Insurance for Children (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

2.

Somewhat favor

0

998.

Don’t know

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

999.

Refused

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Health Insurance for Workers (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Oppose

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Health Insurance for Workers (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

1.

Strongly favor

0

4.

Strongly oppose

0

998.

Don’t know

0

999.

Refused

0

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC07

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

2.

Kerry (correct)

0

4.

Neither

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC09

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

9.

Al Sharpton

0

3.

John Edwards

0

1.

Wesley Clark

0

6.

Dennis Kucinich (correct)

0

8.

Carol Moseley Braun

0

999.

Refused

0

2.

Howard Dean

0

10.

Other

0

998.

Don’t know

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

6.

Dennis Kucinich (correct)

0

999.

Refused

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

10.

Other

0

9.

Al Sharpton

0

1.

Wesley Clark

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

10.

Other

0

998.

Don’t know

0

9.

Al Sharpton

0

4.

Richard Gephardt (correct)

0

999.

Refused

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

1.

Wesley Clark

0

6.

Dennis Kucinich (correct)

0

5.

John Kerry

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich (correct)

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

10.

Other

0

1.

Wesley Clark

0

4.

Richard Gephardt (correct)

0

5.

John Kerry

0

998.

Don’t know

0

3.

John Edwards

0

999.

Refused

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

5.

John Kerry

0

1.

Wesley Clark

0

999.

Refused

0

2.

Howard Dean

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC11

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

5.

John Kerry

0

998.

Don’t know

0

4.

Richard Gephardt

0

6.

Dennis Kucinich (correct)

0

3.

John Edwards

0

999.

Refused

0

10.

Other

0

2.

Howard Dean

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

2.

Howard Dean

0

6.

Dennis Kucinich (correct)

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

3.

John Edwards

0

999.

Refused

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

4.

Richard Gephardt

0

2.

Howard Dean

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

999.

Refused

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

10.

Other

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Other

0

9.

Al Sharpton

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

2.

Howard Dean

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

7.

Joe Lieberman

0

998.

Don’t know

0

1.

Wesley Clark

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

3.

John Edwards

0

2.

Howard Dean

0

6.

Dennis Kucinich (correct)

0

999.

Refused

0

7.

Joe Lieberman

0

5.

John Kerry

0

1.

Wesley Clark

0

10.

Other

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC13

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Prescription Coverage for Seniors

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Congress Passing Medicare Prescription Law

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Medicare Prescription Law (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

76

999.

Refused

9

1.

Strongly favor

321

998.

Don’t know

81

2.

Somewhat favor

238

4.

Strongly oppose

127

Variable Format: numeric

Notes: UNF:5:NASd8gKbRSDCxmiZMciH6w==

Favor Medicare Prescription Law (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Medicare Prescription Law Despite Counterarguments

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

15

3.

Oppose

34

999.

Refused

0

2.

Uncertain

322

1.

Favor

188

Variable Format: numeric

Notes: UNF:5:nul9t4r/u06sSv0xLM844Q==

Oppose Medicare Prescription Law Despite Counterarguments

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

3

1.

Oppose

122

3.

Favor

6

2.

Uncertain

63

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:LihH0bJJKLyfbCMduVqKZQ==

Seniors or Companies Will Benefit More From Medicare Prescription Law

f2529479 Location:

Value

Label

Frequency

Text

2.

Drug manufacturers

0

998.

Don’t know

0

3.

Both will benefit equally

0

1.

Seniors

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Medicare Prescription Law

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

3.

Both

0

4.

Neither

0

1.

Bush (correct)

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC22

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Re-Importing Drugs (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

1.

Favor

0

2.

Oppose

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Re-Importing Drugs (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

998.

Don’t know

0

4.

Strongly oppose

0

999.

Refused

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Re-Importing Drugs

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

4.

Neither

0

3.

Both

0

999.

Refused

0

998.

Don’t know

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC26

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Negotiating With Drug Companies

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

2.

Kerry (correct)

0

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC28

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Responsible for Flu Vaccine Shortage

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Not at all

0

998.

Don’t know

0

2.

Somewhat

0

1.

Very

0

3.

Slightly

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Responsible for Flu Vaccine Shortage

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

4.

Not at all

0

998.

Don’t know

0

1.

Very

0

3.

Slightly

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Social Security in Stock Market (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

334

2.

Somewhat favor

331

5.

Neither favor nor oppose

43

999.

Refused

5

998.

Don’t know

55

3.

Somewhat oppose

164

1.

Strongly favor

300

Variable Format: numeric

Notes: UNF:5:C+JPjKWu3wrDivuw9KHBwA==

Favor Social Security in Stock Market (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Oppose

0

999.

Refused

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Social Security in Stock Market

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither

0

998.

Don’t know

0

2.

Kerry

0

1.

Bush (correct)

0

999.

Refused

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCC34

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With No Child Left Behind

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Not at all

0

1.

Very

0

2.

Somewhat

0

3.

Not too

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

No Child Left Behind Has Improved Schools (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

4.

Much worse

0

3.

Somewhat worse

0

2.

Somewhat better

0

5.

No difference

0

1.

Much better

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

No Child Left Behind Has Improved Schools (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Much better

0

2.

Somewhat better

0

4.

Much worse

0

998.

Don’t know

0

999.

Refused

0

5.

No difference

0

3.

Somewhat worse

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor School Vouchers

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

792

3.

Somewhat oppose

380

5.

Neither favor nor oppose

57

999.

Refused

5

998.

Don’t know

60

2.

Somewhat favor

491

1.

Strongly favor

740

Variable Format: numeric

Notes: UNF:5:e5MYG5LIreLwUX7G2U1nRw==

Favor Federal Assistance to Schools

f2529479 Location:

Value

Label

Frequency

Text

1.

More

854

2.

Same

293

999.

Refused

3

998.

Don’t know

12

4.

None

25

3.

Less

45

Variable Format: numeric

Notes: UNF:5:bZnk0ABZ500gP9fInqcwVg==

Favor Government Trying to Reduce Income Differences

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

34

998.

Don’t know

152

4.

Strongly oppose

501

3.

Somewhat oppose

331

5.

Neither favor nor oppose

72

2.

Somewhat favor

446

1.

Strongly favor

989

Variable Format: numeric

Notes: UNF:5:b551LAuZi/SUY3h/YP3AoQ==

U.S. Is Regarded Differently Because of Bush

f2529479 Location:

Value

Label

Frequency

Text

1.

Better

0

998.

Don’t know

0

3.

No different

0

999.

Refused

0

2.

Worse

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Matters How U.S. Is Regarded Because of Bush

f2529479 Location:

Value

Label

Frequency

Text

4.

Not at all

0

1.

Great deal

0

2.

Some

0

998.

Don’t know

0

3.

Not much

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Spending on Military

f2529479 Location:

Value

Label

Frequency

Text

2.

Same

524

3.

Less

162

998.

Don’t know

22

999.

Refused

3

4.

None

17

1.

More

504

Variable Format: numeric

Notes: UNF:5:WQugpqVB1HgYd5HvkDPLRA==

Trust Bush or Kerry to Be Commander-in-Chief

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Trust neither

0

1.

Bush

0

998.

Don’t know

0

3.

Trust both the same

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Will Do Better Than Kerry as Commander-in-Chief

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

2.

No

0

999.

Refused

0

3.

Will do same job

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

U.S. Too Involved in Trouble Spots Other Than Iraq

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Not enough

0

3.

Right amount

0

999.

Refused

0

4.

Depends on area

0

1.

Too involved

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Moving Troops From Europe and Korea (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

999.

Refused

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Moving Troops From Europe and Korea

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither

0

999.

Refused

0

2.

Kerry

0

1.

Bush (correct)

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD09

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Reinstating Draft

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Reinstating Draft

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Both

0

4.

Neither (correct)

0

998.

Don’t know

0

2.

Kerry

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD12

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Reinstating Draft

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

4.

Neither (correct)

0

3.

Both

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD14

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Think Bush Will Reinstate Draft

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Think Kerry Will Reinstate Draft

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Veterans Getting Health Care They Were Promised

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Approve of Bush Handling Iraq

f2529479 Location:

Value

Label

Frequency

Text

1.

Approve

1204

998.

Don’t know

92

999.

Refused

11

2.

Disapprove

1218

Variable Format: numeric

Notes: UNF:5:0Gkn/R3UpvfthDVX00RM7Q==

Favor Spending on Iraq and Afghanistan

f2529479 Location:

Value

Label

Frequency

Text

2.

Oppose

0

998.

Don’t know

0

999.

Refused

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Iraq War Was Worth It

f2529479 Location:

Value

Label

Frequency

Text

2.

No

582

998.

Don’t know

51

1.

Yes

592

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:m6f/lnHha5ohcT08vgnjFA==

Iraq War Was Worth It Despite Counterarguments

f2529479 Location:

Value

Label

Frequency

Text

2.

Uncertain

124

1.

Sure was worth it

453

999.

Refused

2

998.

Don’t know

6

3.

Not worth it

7

Variable Format: numeric

Notes: UNF:5:6liAzJ9qYJjFOdyN4r1H2g==

Iraq War Was Not Worth It Despite Counterarguments

f2529479 Location:

Value

Label

Frequency

Text

2.

Uncertain

172

998.

Don’t know

11

1.

Sure was not worth it

381

3.

Worth it

17

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:99ka2PWDrJ2q5IG5unG26w==

U.S. Too Quick to Go to War With Iraq

f2529479 Location:

Value

Label

Frequency

Text

3.

Right

0

999.

Refused

0

2.

Slow

0

998.

Don’t know

0

4.

Should not have gone to war at all

0

1.

Quick

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cost of Iraq War Was Necessary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Domestic programs

0

2.

Iraq

0

3.

Should not have spent on either

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Iraq Had WMDs

f2529479 Location:

Value

Label

Frequency

Text

2.

Not true

0

998.

Don’t know

0

999.

Refused

0

1.

True

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Spending on Iraq and Afghanistan

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Neither

0

2.

Kerry

0

1.

Bush (correct)

0

3.

Both

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD27

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposed Iraq War, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

9.

Al Sharpton (correct)

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

5.

John Kerry

0

998.

Don’t know

0

3.

John Edwards

0

999.

Refused

0

1.

Wesley Clark

0

2.

Howard Dean (correct)

0

10.

Other

0

6.

Dennis Kucinich (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposed Iraq War, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

2.

Howard Dean (correct)

0

7.

Joe Lieberman

0

5.

John Kerry

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

999.

Refused

0

8.

Carol Moseley Braun

0

9.

Al Sharpton (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposed Iraq War, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

3.

John Edwards

0

10.

Other

0

2.

Howard Dean (correct)

0

999.

Refused

0

1.

Wesley Clark

0

5.

John Kerry

0

6.

Dennis Kucinich (correct)

0

4.

Richard Gephardt

0

998.

Don’t know

0

7.

Joe Lieberman

0

9.

Al Sharpton (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposed Iraq War, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

John Kerry

0

3.

John Edwards

0

10.

Other

0

998.

Don’t know

0

1.

Wesley Clark

0

9.

Al Sharpton (correct)

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

2.

Howard Dean (correct)

0

6.

Dennis Kucinich (correct)

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Opposed Iraq War, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Al Sharpton (correct)

0

999.

Refused

0

5.

John Kerry

0

4.

Richard Gephardt

0

998.

Don’t know

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

7.

Joe Lieberman

0

3.

John Edwards

0

2.

Howard Dean (correct)

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD29

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Iraq War Reduced Risk of Terrorism

f2529479 Location:

Value

Label

Frequency

Text

1.

Reduced

0

998.

Don’t know

0

999.

Refused

0

2.

Increased

0

3.

Made no difference

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Hussein Helped Al Qaeda With 9/11

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Hussein Linked to Al Qaeda

f2529479 Location:

Value

Label

Frequency

Text

2.

Not true

0

999.

Refused

0

1.

True

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Spending More on Rebuilding Iraq

f2529479 Location:

Value

Label

Frequency

Text

4.

None

270

998.

Don’t know

36

999.

Refused

7

1.

More

108

2.

Same

398

3.

Less

413

Variable Format: numeric

Notes: UNF:5:T9bypB+PQjnkaw/Jpu7JPw==

Favor Keeping Troops in Iraq Until Government Stable

f2529479 Location:

Value

Label

Frequency

Text

2.

Bring home

0

999.

Refused

0

998.

Don’t know

0

1.

Keep in Iraq

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

U.S. or New Government Will Have More Power in Iraq

f2529479 Location:

Value

Label

Frequency

Text

2.

U.S. have more

0

1.

Iraq have more

0

998.

Don’t know

0

999.

Refused

0

3.

Equal

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

U.S. or New Government Will Have Much More Power in Iraq

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Much

0

2.

Little

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Power Transfer in Iraq Will Increase Risk of Terrorism

f2529479 Location:

Value

Label

Frequency

Text

2.

Decrease

0

1.

Increase

0

3.

Same

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

When Troops Should Return Home

f2529479 Location:

Value

Label

Frequency

Text

3.

Six months

0

1.

Right away

0

998.

Don’t know

0

2.

Three months

0

999.

Refused

0

5.

More than one year

0

6.

Less than three months

0

4.

One year

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

When Troops Will Return Home

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Three months

0

3.

One year

0

5.

Less than three months

0

4.

More than one year

0

2.

Six months

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know How Many Troops in Iraq

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

80,000

0

998.

Don’t know

0

1.

40,000

0

3.

115,000 (correct)

0

4.

200,000

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know How Many Troops in Iraq, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Has Plan for Iraq

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Has Plan for Iraq

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Had Plan for Iraq When Voted

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Had Plan for Iraq When Voted

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Soldiers Followed Orders to Mistreat Iraqi Prisoners

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Following orders

0

998.

Don’t know

0

4.

Both on their own and following orders

0

3.

Soldiers did not do it

0

1.

On their own

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Pentagon Acted Property on Iraqi Prisoner Treatment

f2529479 Location:

Value

Label

Frequency

Text

1.

Acted properly

0

2.

Covered up

0

998.

Don’t know

0

3.

Soldiers did not do it

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Should Apologize for Iraqi Prisoner Treatment

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

3.

Already apologized

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Rumsfeld Should Resign Over Iraqi Prisoner Treatment

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Regular Military Sent to Iraq Properly Prepared

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

4.

Properly equipped, not trained

0

1.

Yes

0

3.

Properly trained, not equipped

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Guard and Reserves Sent to Iraq Properly Prepared

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Properly equipped, not trained

0

2.

No

0

1.

Yes

0

3.

Properly trained, not equipped

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Pentagon Overburdened Guard and Reserves

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

0

998.

Don’t know

0

1.

Strongly agree

0

4.

Strongly disagree

0

999.

Refused

0

2.

Somewhat agree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Important That Democrats Nominate Iraq War Supporter

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Less

0

998.

Don’t know

0

1.

More

0

3.

Would make no difference

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Halliburton Awarded Contracts Because of Cheney

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly agree

0

998.

Don’t know

0

999.

Refused

0

4.

Strongly disagree

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Responsible for Missing Explosives in Iraq

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Partly at fault

0

2.

Not at fault

0

1.

Accountable

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Doing More to Protect Terrorism Targets

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

26

1.

More

832

3.

Less

24

4.

Nothing

10

2.

Same

338

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:epQjH1EYxHz+iVxkKXJnJQ==

Favor Spending More on Homeland Security

f2529479 Location:

Value

Label

Frequency

Text

1.

More

565

998.

Don’t know

43

2.

Same

502

999.

Refused

3

3.

Less

105

4.

None

14

Variable Format: numeric

Notes: UNF:5:1BskH0sp/mlLLxywLhXZQw==

Feel Safer Because of Government Efforts After 9/11 (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Somewhat less

0

1.

Much more

0

4.

Much less

0

2.

Somewhat more

0

5.

Made no difference

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Feel Safer Because of Government Efforts After 9/11 (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

5.

Made no difference

68

999.

Refused

1

2.

Somewhat more

363

3.

Somewhat less

52

4.

Much less

27

1.

Much more

103

Variable Format: numeric

Notes: UNF:5:MpHrHIUSUQ3zEJ90u7o/Rw==

Chance of Terrorist Attack in Next Year

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

4

998.

Don’t know

15

Variable Format: numeric

Notes: UNF:5:GLiH3Uu2IJiH3+E4yQJCxA==

Approve of Bush Handling Terrorism

f2529479 Location:

Value

Label

Frequency

Text

1.

Approve

705

998.

Don’t know

38

2.

Disapprove

483

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:c392E0BiZBe04YvouErA3g==

Trust Bush or Kerry on Terrorism

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

1.

Bush

0

999.

Refused

0

3.

Trust both the same

0

4.

Trust neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Will Do Better Than Kerry on Terrorism

f2529479 Location:

Value

Label

Frequency

Text

3.

Will do same job

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Clinton or Bush Took Terrorism Threat More Seriously

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Bush’s

0

1.

Clinton’s

0

998.

Don’t know

0

3.

Both took the threat equally seriously

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Doing More About Potential Terrorists

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Same

0

1.

More

0

3.

Less

0

4.

Nothing

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Approve of Patriot Act

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Strongly approve

0

5.

Neither approve nor disapprove

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Patriot Act Is Good for Country

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

1.

Good

452

3.

Neither good nor bad

28

998.

Don’t know

40

2.

Bad

290

Variable Format: numeric

Notes: UNF:5:hlypm3XO+P5l8geCmdD0gw==

Know if Bush or Kerry Favors Patriot Act (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Kerry

0

4.

Neither

0

1.

Bush (correct)

0

999.

Refused

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD68

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Patriot Act (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

2.

Kerry

0

998.

Don’t know

0

4.

Neither

0

1.

Bush (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD70

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor 9/11 Recommendations

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Most

0

4.

None

0

1.

All

0

3.

Some

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush Favors 9/11 Recommendations

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Some

0

998.

Don’t know

0

4.

None

0

2.

Most

0

1.

All

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Kerry Favors 9/11 Recommendations

f2529479 Location:

Value

Label

Frequency

Text

4.

None

0

998.

Don’t know

0

2.

Most

0

3.

Some

0

1.

All

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bin Laden Wants Bush or Kerry to Win

f2529479 Location:

Value

Label

Frequency

Text

3.

Did not care

0

999.

Refused

0

2.

Kerry

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Did Everything Possible Against Al Qaeda Before 9/11

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Responsible for Bin Laden at Large

f2529479 Location:

Value

Label

Frequency

Text

1.

Responsible

0

2.

Not his fault

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Has Plan for Bin Laden

f2529479 Location:

Value

Label

Frequency

Text

3.

Both have equally realistic plans

0

1.

Bush

0

4.

Neither has realistic plan

0

998.

Don’t know

0

2.

Kerry

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Better at Protecting Soviet Nuclear Materials

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both

0

999.

Refused

0

4.

Neither

0

2.

Kerry

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCD79

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Job Bush Did Protecting Soviet Nuclear Materials

f2529479 Location:

Value

Label

Frequency

Text

4.

Poor

0

1.

Excellent

0

2.

Good

0

998.

Don’t know

0

999.

Refused

0

3.

Fair

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Restricting Immigration

f2529479 Location:

Value

Label

Frequency

Text

3.

Less

128

4.

Nothing

32

998.

Don’t know

37

2.

Same

286

1.

More

744

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:CHtEJrznwJITFabyZJxPug==

Favor Banning All Abortions

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

61

1.

Strongly favor

628

3.

Somewhat oppose

461

998.

Don’t know

45

999.

Refused

15

2.

Somewhat favor

183

4.

Strongly oppose

1132

Variable Format: numeric

Notes: UNF:5:kCrMhSXErWowlxljHXbOmw==

Favor Making Abortion More Difficult

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

999.

Refused

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Making Abortion More Difficult

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush (correct)

0

4.

Neither

0

999.

Refused

0

998.

Don’t know

0

3.

Both

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE03

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Banning Late-Term Abortions (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

999.

Refused

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Banning Late-Term Abortions (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

486

4.

Strongly oppose

389

999.

Refused

9

2.

Somewhat favor

118

3.

Somewhat oppose

192

998.

Don’t know

63

5.

Neither favor nor oppose

36

Variable Format: numeric

Notes: UNF:5:/YL+cgbviP8b0TD1fc0TOQ==

Favor Stem Cell Funding (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Favor

0

999.

Refused

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

3.

Somewhat oppose

0

999.

Refused

0

4.

Strongly oppose

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE10

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry (correct)

0

1.

Bush

0

4.

Neither

0

3.

Both

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE12

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Additional Stem Cell Lines

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

999.

Refused

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Additional Stem Cell Lines

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Both

0

2.

Kerry (correct)

0

4.

Neither

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE15

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Federal Marriage Amendment (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

998.

Don’t know

0

3.

Somewhat oppose

0

999.

Refused

0

2.

Somewhat favor

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Federal Marriage Amendment (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

999.

Refused

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Federal Marriage Amendment (Wording #3)

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

5.

Neither favor nor oppose

0

999.

Refused

0

2.

Somewhat favor

0

1.

Strongly favor

0

4.

Strongly oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Federal Marriage Amendment (Wording #4)

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Federal Marriage Amendment (Wording #5)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

70

999.

Refused

13

3.

Somewhat oppose

286

2.

Somewhat favor

157

1.

Strongly favor

927

4.

Strongly oppose

926

5.

Neither favor nor oppose

146

Variable Format: numeric

Notes: UNF:5:S/bmYjtCBZ9PPlV8AhSi4w==

Favor State Law Allowing Same-Sex Marriage (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

440

999.

Refused

18

3.

Somewhat oppose

84

998.

Don’t know

56

1.

Strongly favor

151

2.

Somewhat favor

112

Variable Format: numeric

Notes: UNF:5:AgW4RKxz8Xw1keQm40sokw==

Favor State Law Allowing Same-Sex Marriage (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

13

3.

Somewhat oppose

68

998.

Don’t know

49

1.

Strongly favor

146

4.

Strongly oppose

442

2.

Somewhat favor

94

Variable Format: numeric

Notes: UNF:5:s9vTnrMER58Nzlllt8n6vw==

Favor State Law Allowing Civil Unions

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly favor

139

2.

Somewhat favor

281

4.

Strongly oppose

442

998.

Don’t know

46

999.

Refused

7

3.

Somewhat oppose

119

Variable Format: numeric

Notes: UNF:5:vz5uRog/accVJ7857wSHXg==

More Likely to Vote for Candidate Favoring Same-Sex Unions

f2529479 Location:

Value

Label

Frequency

Text

1.

Much more

0

998.

Don’t know

0

3.

Somewhat less

0

5.

Would not matter

0

999.

Refused

0

4.

Much less

0

2.

Somewhat more

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Gays in Military

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Prohibiting Employment Discrimination Against Gays

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

4.

Strongly oppose

0

1.

Strongly favor

0

999.

Refused

0

3.

Somewhat oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offended by Redskins’ Name

f2529479 Location:

Value

Label

Frequency

Text

1.

Offensive

1

2.

Does not bother

29

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:wv7mRQHipwNEkfPUi1i0tw==

Favor Gun Control

f2529479 Location:

Value

Label

Frequency

Text

4.

Nothing

112

1.

More

748

3.

Less

102

998.

Don’t know

27

999.

Refused

4

2.

Same

239

Variable Format: numeric

Notes: UNF:5:d5MRwQnmkREIM/7VX0+h3Q==

Favor Congress Extending Assault Weapons Ban

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

59

999.

Refused

8

1.

Yes

977

2.

No

249

Variable Format: numeric

Notes: UNF:5:m1VtAQOuXDD2F8ExU67eUw==

Favor Assault Weapons Ban (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Assault Weapons Ban (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

998.

Don’t know

0

999.

Refused

0

1.

Strongly favor

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both (correct)

0

999.

Refused

0

4.

Neither

0

1.

Bush

0

2.

Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE35

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both (correct)

0

998.

Don’t know

0

4.

Neither

0

1.

Bush

0

2.

Kerry

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCE37

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Would Do More on Foreign Oil

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

4.

Neither

0

1.

Bush

0

999.

Refused

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCF02

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Will Do More Than Kerry on Foreign Oil

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gas Prices Caused Personal Financial Hardship (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

3.

No

0

999.

Refused

0

2.

Not serious

0

1.

Yes, serious

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gas Prices Caused Personal Financial Hardship (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, serious

0

2.

Not serious

0

3.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Change Vacation Plans Because of Gas Prices

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

3.

Not planning a vacation

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Government Doing More on Environment

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Same

0

3.

Less

0

1.

More

0

4.

Nothing

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Global Warming Is Serious Problem

f2529479 Location:

Value

Label

Frequency

Text

1.

Very

0

4.

Not at all

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat

0

3.

Not too

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Limiting Lawsuits (No Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Limiting Lawsuits (Strongly Follow-Up)

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

998.

Don’t know

0

1.

Strongly favor

0

999.

Refused

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush (correct)

0

999.

Refused

0

3.

Both

0

4.

Neither

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCG03

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

3.

Both

0

1.

Bush (correct)

0

4.

Neither

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCG05

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Limiting Malpractice Awards

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

998.

Don’t know

0

3.

Somewhat oppose

0

999.

Refused

0

2.

Somewhat favor

0

4.

Strongly oppose

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Kerry Favors Limiting Malpractice Awards

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither

0

1.

Bush (correct)

0

3.

Both

0

2.

Kerry

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cCG08

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Supreme Court Important in Vote

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Comfortable With Bush Making Supreme Court Nominations

f2529479 Location:

Value

Label

Frequency

Text

1.

Very comfortable

0

999.

Refused

0

5.

Very uncomfortable

0

3.

Neither comfortable nor uncomfortable

0

4.

Somewhat uncomfortable

0

998.

Don’t know

0

2.

Somewhat comfortable

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Comfortable With Kerry Making Supreme Court Nominations

f2529479 Location:

Value

Label

Frequency

Text

4.

Somewhat uncomfortable

0

1.

Very comfortable

0

2.

Somewhat comfortable

0

999.

Refused

0

5.

Very uncomfortable

0

998.

Don’t know

0

3.

Neither comfortable nor uncomfortable

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Supreme Court Salary

f2529479 Location:

Value

Label

Frequency

Text

2.

$201,000

18

4.

Less than $193,000

125

1.

$193,000 (correct)

13

998.

Don’t know

125

3.

$193,000–$201,000

25

5.

More than $201,000

48

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:0qmfdT2Q1eH6OsaFZ/Lt2A==

Don’t-Know Prompt for cCH04

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

143

0.

Respondent answered without prompting

213

Variable Format: numeric

Notes: UNF:5:Ds+qmd+QzdJTY0TpFkvCjQ==

Supreme Court Salary Too High

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

10

3.

Right

201

1.

Too much

98

2.

Too little

46

Variable Format: numeric

Notes: UNF:5:5Lb/7V9JogxKTVYNnETbiA==

Know President’s Salary

f2529479 Location:

Value

Label

Frequency

Text

4.

Less than $200,000

57

5.

More than $400,000

25

998.

Don’t know

84

3.

$200,000–$400,000

94

1.

$400,000 (correct)

21

2.

$200,000

74

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:tBbKpJPA9MakI9w1zB/MBA==

Don’t-Know Prompt for cCH07

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

260

1.

Respondent said don’t know and was prompted, “Anything come

96

Variable Format: numeric

Notes: UNF:5:E1E3vsL74ipJ07SXLO3DBw==

President’s Salary Too High

f2529479 Location:

Value

Label

Frequency

Text

1.

Too much

86

999.

Refused

0

2.

Too little

78

998.

Don’t know

6

3.

Right

186

Variable Format: numeric

Notes: UNF:5:wtMFZqOKj9aH/hUZx18KlQ==

Important That Democrats Nominate Vietnam Veteran

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Very important

0

5.

Neither important nor unimportant

0

3.

Somewhat unimportant

0

998.

Don’t know

0

4.

Very unimportant

0

2.

Somewhat important

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

999.

Refused

0

2.

Howard Dean

0

998.

Don’t know

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

1.

Wesley Clark (correct)

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

1.

Wesley Clark (correct)

0

5.

John Kerry (correct)

0

999.

Refused

0

10.

Other

0

3.

John Edwards

0

998.

Don’t know

0

7.

Joe Lieberman

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

999.

Refused

0

998.

Don’t know

0

3.

John Edwards

0

2.

Howard Dean

0

10.

Other

0

5.

John Kerry (correct)

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

1.

Wesley Clark (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark (correct)

0

3.

John Edwards

0

999.

Refused

0

10.

Other

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

998.

Don’t know

0

9.

Al Sharpton

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

5.

John Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

998.

Don’t know

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

10.

Other

0

7.

Joe Lieberman

0

3.

John Edwards

0

4.

Richard Gephardt

0

1.

Wesley Clark (correct)

0

2.

Howard Dean

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA02

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Is Vietnam Veteran, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

11.

Other

17

9.

Carol Moseley Braun

1

1.

George W. Bush

130

5.

Richard Gephardt

4

10.

Al Sharpton

0

999.

Refused

8

3.

Howard Dean

5

8.

Joe Lieberman

1

7.

Dennis Kucinich

0

2.

Wesley Clark (correct)

23

4.

John Edwards

10

998.

Don’t know

521

6.

John Kerry (correct)

1805

Variable Format: numeric

Notes: UNF:5:AkaoMM9y9czAdHBKpPRnLA==

Know Candidate Who Is Vietnam Veteran, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Dennis Kucinich

0

9.

Carol Moseley Braun

0

11.

Other

0

1.

George W. Bush

3

998.

Don’t know

0

10.

Al Sharpton

0

8.

Joe Lieberman

1

3.

Howard Dean

0

4.

John Edwards

3

2.

Wesley Clark (correct)

8

6.

John Kerry (correct)

8

999.

Refused

0

5.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:Rn7PkoDS1Z4pxG/dBD0zmQ==

Know Candidate Who Is Vietnam Veteran, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Al Sharpton

0

1.

George W. Bush

0

11.

Other

0

998.

Don’t know

0

4.

John Edwards

0

3.

Howard Dean

0

999.

Refused

0

2.

Wesley Clark (correct)

0

9.

Carol Moseley Braun

0

8.

Joe Lieberman

0

6.

John Kerry (correct)

0

7.

Dennis Kucinich

0

5.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Is Vietnam Veteran, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

6.

John Kerry (correct)

0

11.

Other

0

9.

Carol Moseley Braun

0

3.

Howard Dean

0

7.

Dennis Kucinich

0

1.

George W. Bush

0

4.

John Edwards

0

5.

Richard Gephardt

0

8.

Joe Lieberman

0

998.

Don’t know

0

2.

Wesley Clark (correct)

0

10.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Is Vietnam Veteran, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Wesley Clark (correct)

0

7.

Dennis Kucinich

0

9.

Carol Moseley Braun

0

999.

Refused

0

5.

Richard Gephardt

0

998.

Don’t know

0

8.

Joe Lieberman

0

11.

Other

0

10.

Al Sharpton

0

3.

Howard Dean

0

6.

John Kerry (correct)

0

4.

John Edwards

0

1.

George W. Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA04

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

554

0.

Respondent answered without prompting

1971

Variable Format: numeric

Notes: UNF:5:01uMU61Kt3dHDG4lK3VsmA==

Approve of Kerry’s Anti-War Activities

f2529479 Location:

Value

Label

Frequency

Text

2.

Disapprove

798

999.

Refused

47

998.

Don’t know

206

1.

Approve

729

Variable Format: numeric

Notes: UNF:5:rvm6jlYHbMKAF+tLJjNR7A==

Kerry’s Anti-War Activities Will Affect Vote

f2529479 Location:

Value

Label

Frequency

Text

2.

Some

411

5.

Would not vote

21

998.

Don’t know

10

3.

Not much

251

4.

Not at all

432

999.

Refused

3

1.

Great deal

399

Variable Format: numeric

Notes: UNF:5:BbP8z2Vun+jQOReHSY5bZA==

Kerry Earned Vietnam Medals

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Kerry’s Anti-War Statements

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Approve of Kerry’s Anti-War Statements (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat approve

0

1.

Strongly approve

0

3.

Somewhat disapprove

0

999.

Refused

0

4.

Strongly disapprove

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Approve of Kerry’s Anti-War Statements (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat approve

0

999.

Refused

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

1.

Strongly approve

0

5.

Neither approve nor disapprove

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched or Familiar With Swift Boat Ad

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, seen

0

2.

Heard

0

998.

Don’t know

0

3.

Have not seen or heard

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Swift Boat Ad Believable

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat unbelievable

0

4.

Very unbelievable

0

2.

Somewhat believable

0

999.

Refused

0

998.

Don’t know

0

1.

Very believable

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Campaign Behind Swift Boat Ad

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush behind

0

998.

Don’t know

0

2.

No connection

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Fulfilled National Guard Obligations

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

23

1.

Yes

902

2.

No

602

998.

Don’t know

253

Variable Format: numeric

Notes: UNF:5:ikmX7fqz+XIOuSZy8HjUMg==

Bush in National Guard Will Affect Vote

f2529479 Location:

Value

Label

Frequency

Text

4.

Not at all

585

999.

Refused

1

998.

Don’t know

5

3.

Not much

310

2.

Some

288

1.

Great deal

300

5.

Would not vote

15

Variable Format: numeric

Notes: UNF:5:RKLTDKBP22rRRfWfykZq5Q==

Know if Bush or Kerry Is Former Prosecutor

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither

0

999.

Refused

0

3.

Both

0

998.

Don’t know

0

2.

Kerry (correct)

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA17

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich

0

2.

Howard Dean

0

999.

Refused

0

998.

Don’t know

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

10.

Other

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

5.

John Kerry

0

7.

Joe Lieberman (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Other

0

7.

Joe Lieberman (correct)

0

999.

Refused

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

3.

John Edwards

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

998.

Don’t know

0

5.

John Kerry

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

9.

Al Sharpton

0

999.

Refused

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

10.

Other

0

6.

Dennis Kucinich

0

3.

John Edwards

0

998.

Don’t know

0

7.

Joe Lieberman (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

4.

Richard Gephardt

0

999.

Refused

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

7.

Joe Lieberman (correct)

0

6.

Dennis Kucinich

0

10.

Other

0

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

998.

Don’t know

0

5.

John Kerry

0

2.

Howard Dean

0

10.

Other

0

999.

Refused

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

7.

Joe Lieberman (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA19

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was House Majority Leader, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

4.

Richard Gephardt (correct)

0

9.

Al Sharpton

0

999.

Refused

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

998.

Don’t know

0

5.

John Kerry

0

10.

Other

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was House Majority Leader, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

10.

Other

0

998.

Don’t know

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

4.

Richard Gephardt (correct)

0

999.

Refused

0

3.

John Edwards

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was House Majority Leader, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

5.

John Kerry

0

3.

John Edwards

0

999.

Refused

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

9.

Al Sharpton

0

10.

Other

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was House Majority Leader, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

2.

Howard Dean

0

3.

John Edwards

0

10.

Other

0

999.

Refused

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

998.

Don’t know

0

4.

Richard Gephardt (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was House Majority Leader, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

4.

Richard Gephardt (correct)

0

2.

Howard Dean

0

5.

John Kerry

0

998.

Don’t know

0

10.

Other

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA21

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

998.

Don’t know

0

6.

Dennis Kucinich

0

10.

Other

0

999.

Refused

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

5.

John Kerry

0

2.

Howard Dean

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

4.

Richard Gephardt

0

3.

John Edwards (correct)

0

999.

Refused

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

9.

Al Sharpton

0

1.

Wesley Clark

0

10.

Other

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Other

0

6.

Dennis Kucinich

0

998.

Don’t know

0

3.

John Edwards (correct)

0

999.

Refused

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

5.

John Kerry

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

2.

Howard Dean

0

5.

John Kerry

0

7.

Joe Lieberman

0

3.

John Edwards (correct)

0

998.

Don’t know

0

10.

Other

0

1.

Wesley Clark

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

999.

Refused

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

3.

John Edwards (correct)

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

10.

Other

0

9.

Al Sharpton

0

998.

Don’t know

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

999.

Refused

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA23

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a General, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

6.

Dennis Kucinich

0

5.

John Kerry

0

3.

John Edwards

0

1.

Wesley Clark (correct)

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

10.

Other

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

999.

Refused

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a General, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Howard Dean

0

10.

Other

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

3.

John Edwards

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

5.

John Kerry

0

999.

Refused

0

4.

Richard Gephardt

0

1.

Wesley Clark (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a General, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

6.

Dennis Kucinich

0

999.

Refused

0

998.

Don’t know

0

1.

Wesley Clark (correct)

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

10.

Other

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a General, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

998.

Don’t know

0

999.

Refused

0

10.

Other

0

1.

Wesley Clark (correct)

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

5.

John Kerry

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a General, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich

0

1.

Wesley Clark (correct)

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

2.

Howard Dean

0

10.

Other

0

3.

John Edwards

0

999.

Refused

0

998.

Don’t know

0

9.

Al Sharpton

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA25

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was Governor of Vermont, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

10.

Other

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

5.

John Kerry

0

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean (correct)

0

6.

Dennis Kucinich

0

998.

Don’t know

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was Governor of Vermont, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

2.

Howard Dean (correct)

0

10.

Other

0

1.

Wesley Clark

0

3.

John Edwards

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

999.

Refused

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was Governor of Vermont, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

John Edwards

0

9.

Al Sharpton

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

5.

John Kerry

0

998.

Don’t know

0

6.

Dennis Kucinich

0

2.

Howard Dean (correct)

0

10.

Other

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was Governor of Vermont, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

4.

Richard Gephardt

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

999.

Refused

0

7.

Joe Lieberman

0

5.

John Kerry

0

2.

Howard Dean (correct)

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was Governor of Vermont, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Howard Dean (correct)

0

999.

Refused

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

10.

Other

0

7.

Joe Lieberman

0

3.

John Edwards

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA27

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

9.

Al Sharpton

0

5.

John Kerry

0

6.

Dennis Kucinich

0

999.

Refused

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

10.

Other

0

998.

Don’t know

0

2.

Howard Dean

0

4.

Richard Gephardt

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

999.

Refused

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

10.

Other

0

5.

John Kerry

0

4.

Richard Gephardt

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

7.

Joe Lieberman

0

10.

Other

0

6.

Dennis Kucinich

0

999.

Refused

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

3.

John Edwards (correct)

0

4.

Richard Gephardt

0

2.

Howard Dean

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

5.

John Kerry

0

999.

Refused

0

6.

Dennis Kucinich

0

998.

Don’t know

0

10.

Other

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

2.

Howard Dean

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards (correct)

0

9.

Al Sharpton

0

10.

Other

0

999.

Refused

0

4.

Richard Gephardt

0

998.

Don’t know

0

2.

Howard Dean

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cDA29

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Network News in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:blw5+mzU260TGIArtG5x8g==

Network News Channel Watched Most

f2529479 Location:

Value

Label

Frequency

Text

2.

cbs

407

4.

pbs

99

998.

Don’t know

120

1.

abc

475

999.

Refused

2

3.

nbc

497

Variable Format: numeric

Notes: UNF:5:/xyzx9aZuy9Kr9veUYXU3Q==

Watched Cable News in Past Week

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

5

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:Kvx0b5oWt5033Fktu073/Q==

Cable News Channel Watched Most

f2529479 Location:

Value

Label

Frequency

Text

1.

fox

518

998.

Don’t know

12

3.

msnbc

199

999.

Refused

2

2.

cnn

796

4.

All three equally

79

5.

Other

36

Variable Format: numeric

Notes: UNF:5:Mfrlo6PIEIEisQQeEYVmCg==

Cable News Channel Watched Most, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:YPzpw+76569oEpHGMA0g8g==

Attention to Political News on Network or Cable TV in Past Week

f2529479 Location:

Value

Label

Frequency

Text

4.

None

182

3.

Not much

434

998.

Don’t know

3

2.

Some

951

1.

Great deal

541

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:15ho33wRCBCV7jBguLzGuQ==

Watched Local News in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:lp5YncVOShEL7+KLy+iuwQ==

Attention to Political News on Local TV in Past Week

f2529479 Location:

Value

Label

Frequency

Text

4.

None

266

998.

Don’t know

6

3.

Not much

498

999.

Refused

2

2.

Some

953

1.

Great deal

318

Variable Format: numeric

Notes: UNF:5:FNp9jLbaoZ5i6I9vQ9IQ2A==

Watched Spanish News in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:4mJx1KCM2M5vmVt8ydgS9Q==

Watched BET News in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Read Newspaper in Past Week

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:d3/izJBw98kO2vzjZq4Z8w==

Newspaper Read Most

f2529479 Location:

Value

Label

Frequency

Text

12.

Detroit Free Press

11

29.

San Jose Mercury News

9

13.

Houston Chronicle

13

24.

Oregonian

12

15.

Manchester Union-Leader

4

3.

Baltimore Sun

8

33.

Wall Street Journal

30

6.

Chicago Tribune

18

27.

San Diego Union-Tribune

10

1.

Arizona Republic

17

4.

Boston Globe

19

22.

Newsday

12

7.

Cleveland Plain Dealer

4

999.

Refused

3

14.

Los Angeles Times

29

20.

New York Times

65

26.

Rocky Mountain News

2

30.

St. Louis Post-Dispatch

17

17.

Minneapolis Star Tribune

15

32.

USA Today

52

10.

Denver Post

8

35.

Other

1414

18.

New York Daily News

7

8.

Concord Monitor

0

19.

New York Post

11

11.

Des Moines Register

6

21.

Newark Star-Ledger

6

23.

Orange County Register

5

5.

Chicago Sun-Times

6

998.

Don’t know

35

31.

St. Petersburg Times

5

28.

San Francisco Chronicle

16

25.

Philadelphia Inquirer

17

9.

Dallas Morning News

29

2.

Atlanta Constitution

21

16.

Miami Herald

8

34.

Washington Post

28

Variable Format: numeric

Notes: UNF:5:L+Up3RkFmU6EFIPStTebFA==

Newspaper Read Most, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:J57NSuOnTvR69kP13xrE7Q==

Read Wall Street Journal Editorial Page

f2529479 Location:

Value

Label

Frequency

Text

1.

Regularly

17

999.

Refused

0

998.

Don’t know

1

2.

Occasionally

7

4.

Never

2

3.

Rarely

3

Variable Format: numeric

Notes: UNF:5:QhR0fTC/Cg0y/WVIAnG1MA==

Attention to Political News in Newspaper in Past Week

f2529479 Location:

Value

Label

Frequency

Text

3.

Not much

415

999.

Refused

0

2.

Some

865

998.

Don’t know

3

1.

Great deal

422

4.

None

267

Variable Format: numeric

Notes: UNF:5:FCWR+RW7qbZX7mSB8ctUSQ==

Listened to NPR in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

12

Variable Format: numeric

Notes: UNF:5:ELi8WvcDqGtKLiW/THZrEw==

Listened to Talk Radio Other Than NPR in Past Week

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:MWVwd44Iz3CCJnyszTie8Q==

Talk Radio Programs Listened to in Past Week, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

28.

Other

391

26.

Armstrong Williams

1

998.

Don’t know

214

5.

Dr. Joy Browne

0

3.

Jim Bohannon

0

6.

Howie Carr

1

15.

G. Gordon Liddy

3

9.

Dr. Dean Edell

1

25.

“Talk of the Nation”

13

999.

Refused

8

2.

Art Bell

3

19.

Bill O’Reilly

23

24.

Howard Stern

29

8.

Don and Mike

0

18.

NPR (unspecified)

224

14.

Tom Leykis

0

1.

“All Things Considered”

21

27.

Bruce Williams

3

21.

Michael Savage

10

16.

Rush Limbaugh

176

12.

John and Ken

2

22.

Tavis Smiley

2

23.

Doug Stephan

0

4.

Bob Brinker

0

10.

Sean Hannity

62

11.

Don Imus

6

20.

Diane Rehm

3

17.

“Morning Edition” with Bob Edwards

12

7.

Ken and Daria Dolan

2

13.

Tom Joyner

14

Variable Format: numeric

Notes: UNF:5:Twt7edLJF3Vtos1XZa9HjQ==

Talk Radio Programs Listened to in Past Week, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

17.

“Morning Edition” with Bob Edwards

4

2.

Art Bell

0

16.

Rush Limbaugh

32

10.

Sean Hannity

44

24.

Howard Stern

4

28.

Other

72

9.

Dr. Dean Edell

0

3.

Jim Bohannon

1

23.

Doug Stephan

0

18.

NPR (unspecified)

14

999.

Refused

0

12.

John and Ken

0

19.

Bill O’Reilly

14

26.

Armstrong Williams

0

27.

Bruce Williams

2

20.

Diane Rehm

0

7.

Ken and Daria Dolan

0

4.

Bob Brinker

0

21.

Michael Savage

7

1.

“All Things Considered”

10

13.

Tom Joyner

0

15.

G. Gordon Liddy

1

8.

Don and Mike

0

6.

Howie Carr

1

22.

Tavis Smiley

1

14.

Tom Leykis

0

11.

Don Imus

2

998.

Don’t know

0

25.

“Talk of the Nation”

2

5.

Dr. Joy Browne

0

Variable Format: numeric

Notes: UNF:5:MVLNuurzYeaJf6I168ryJg==

Talk Radio Programs Listened to in Past Week, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

23.

Doug Stephan

0

4.

Bob Brinker

0

16.

Rush Limbaugh

4

13.

Tom Joyner

0

2.

Art Bell

0

26.

Armstrong Williams

0

28.

Other

31

7.

Ken and Daria Dolan

0

5.

Dr. Joy Browne

0

12.

John and Ken

0

14.

Tom Leykis

0

999.

Refused

0

17.

“Morning Edition” with Bob Edwards

2

22.

Tavis Smiley

0

8.

Don and Mike

0

6.

Howie Carr

0

10.

Sean Hannity

10

998.

Don’t know

0

15.

G. Gordon Liddy

2

11.

Don Imus

0

24.

Howard Stern

0

27.

Bruce Williams

0

20.

Diane Rehm

2

21.

Michael Savage

8

25.

“Talk of the Nation”

0

3.

Jim Bohannon

0

19.

Bill O’Reilly

6

1.

“All Things Considered”

3

9.

Dr. Dean Edell

0

18.

NPR (unspecified)

6

Variable Format: numeric

Notes: UNF:5:BlQI2kG4po4ZsIoUkwA4ew==

Talk Radio Programs Listened to in Past Week, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

12.

John and Ken

0

8.

Don and Mike

0

28.

Other

9

15.

G. Gordon Liddy

0

20.

Diane Rehm

0

18.

NPR (unspecified)

1

16.

Rush Limbaugh

0

23.

Doug Stephan

0

2.

Art Bell

0

999.

Refused

0

5.

Dr. Joy Browne

0

6.

Howie Carr

0

11.

Don Imus

0

24.

Howard Stern

0

10.

Sean Hannity

0

7.

Ken and Daria Dolan

0

19.

Bill O’Reilly

0

14.

Tom Leykis

0

26.

Armstrong Williams

0

998.

Don’t know

0

9.

Dr. Dean Edell

0

27.

Bruce Williams

0

13.

Tom Joyner

0

4.

Bob Brinker

0

1.

“All Things Considered”

0

22.

Tavis Smiley

1

3.

Jim Bohannon

0

25.

“Talk of the Nation”

0

17.

“Morning Edition” with Bob Edwards

0

21.

Michael Savage

0

Variable Format: numeric

Notes: UNF:5:gfE8K83q2TURrDvgjYlBFw==

Talk Radio Programs Listened to in Past Week, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

“All Things Considered”

0

17.

“Morning Edition” with Bob Edwards

0

26.

Armstrong Williams

0

9.

Dr. Dean Edell

0

21.

Michael Savage

0

12.

John and Ken

0

14.

Tom Leykis

0

15.

G. Gordon Liddy

0

5.

Dr. Joy Browne

0

23.

Doug Stephan

0

4.

Bob Brinker

0

3.

Jim Bohannon

0

27.

Bruce Williams

0

19.

Bill O’Reilly

0

13.

Tom Joyner

0

18.

NPR (unspecified)

0

998.

Don’t know

0

6.

Howie Carr

0

10.

Sean Hannity

0

28.

Other

1

8.

Don and Mike

0

11.

Don Imus

0

16.

Rush Limbaugh

0

25.

“Talk of the Nation”

0

7.

Ken and Daria Dolan

0

999.

Refused

0

20.

Diane Rehm

0

24.

Howard Stern

0

22.

Tavis Smiley

0

2.

Art Bell

0

Variable Format: numeric

Notes: UNF:5:MTZtv2NPLeNmWN1UMfVMOQ==

Talk Radio Programs Listened to in Past Week, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:1POLNE5RHWiCH+SPCo3hXQ==

Talk Radio Program Listen to Most

f2529479 Location:

Value

Label

Frequency

Text

11.

Don Imus

1

24.

Howard Stern

6

23.

Doug Stephan

0

20.

Diane Rehm

0

21.

Michael Savage

3

13.

Tom Joyner

2

4.

Bob Brinker

0

26.

Armstrong Williams

0

12.

John and Ken

1

8.

Don and Mike

0

5.

Dr. Joy Browne

0

27.

Bruce Williams

2

16.

Rush Limbaugh

48

10.

Sean Hannity

33

998.

Don’t know

11

7.

Ken and Daria Dolan

0

19.

Bill O’Reilly

8

14.

Tom Leykis

0

18.

NPR (unspecified)

14

3.

Jim Bohannon

0

6.

Howie Carr

1

17.

“Morning Edition” with Bob Edwards

11

22.

Tavis Smiley

1

15.

G. Gordon Liddy

2

9.

Dr. Dean Edell

0

999.

Refused

1

25.

“Talk of the Nation”

4

28.

Other

54

1.

“All Things Considered”

8

2.

Art Bell

0

Variable Format: numeric

Notes: UNF:5:dv1Q+Fha3FeArgj2mhPl0A==

Talk Radio Program Listen to Most, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:bjLVA2um0Il4+YGrR1eqsg==

Watched Late-Night Comedy in Past Week

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:K5LbO12yX1Z/Wtm1tsLV2A==

Late-Night Comedy Program Watched Most (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

3.

Stewart

96

4.

Other

37

2.

Leno

300

999.

Refused

3

1.

Letterman

271

Variable Format: numeric

Notes: UNF:5:VCVOwrkEzRTv2KRtxf1HcQ==

Late-Night Comedy Program Watched Most (Wording #1), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:Mj+G3W3UJxDImFcylb9/Dg==

Late-Night Comedy Program Watched Most (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Letterman

0

4.

O’Brien

0

998.

Don’t know

0

5.

Other

0

2.

Leno

0

999.

Refused

0

3.

Stewart

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Late-Night Comedy Program Watched Most (Wording #2), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Have Online Access

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

595

1.

Yes

1929

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:b33LPqL/U4bpjCSH2neDDA==

Accessed Political Information Online in Past Week (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:NYiWucsr09/EE0rBM2E4Sw==

Accessed Political Information Online in Past Week (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:sUYrAd/b5JyKzi5FcwFcsQ==

Source of Online Political Information in Past Week, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

News organization’s

338

1.

Candidate’s

58

999.

Refused

5

998.

Don’t know

27

3.

Other

144

Variable Format: numeric

Notes: UNF:5:es+UCM16RRrvMxafBqm9mQ==

Source of Online Political Information in Past Week, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Candidate’s

1

3.

Other

10

998.

Don’t know

0

2.

News organization’s

17

Variable Format: numeric

Notes: UNF:5:xrYGo6Ne+kIjNb02Z+kv8A==

Source of Online Political Information in Past Week, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

News organization’s

0

3.

Other

3

998.

Don’t know

0

1.

Candidate’s

0

Variable Format: numeric

Notes: UNF:5:f3n55elSPWrCalCx+MchAg==

Source of Online Political Information in Past Week, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:hZkWbHf/BOlldK3GcAiW5Q==

Media Have Decided Democratic Frontrunner

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Wide-open

0

999.

Refused

0

1.

Frontrunner

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Democratic Candidate Who Media Think Is Frontrunner

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

999.

Refused

0

4.

Richard Gephardt

0

5.

John Kerry

0

3.

John Edwards

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

10.

Other

0

7.

Joe Lieberman

0

998.

Don’t know

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Television

0

3.

Newspaper

0

6.

Did not get results on Election Day

0

2.

Radio

0

4.

Online

0

998.

Don’t know

0

5.

Other

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

Newspaper

0

2.

Radio

0

4.

Online

0

999.

Refused

0

1.

Television

0

5.

Other

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Television

0

3.

Newspaper

0

999.

Refused

0

2.

Radio

0

5.

Other

0

998.

Don’t know

0

6.

Did not get results on Election Day

0

4.

Online

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

5.

Other

0

2.

Radio

0

1.

Television

0

998.

Don’t know

0

999.

Refused

0

6.

Did not get results on Election Day

0

4.

Online

0

3.

Newspaper

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Television

0

2.

Radio

0

3.

Newspaper

0

999.

Refused

0

5.

Other

0

4.

Online

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Source of Information About General Election Results, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for General Election Coverage

f2529479 Location:

Value

Label

Frequency

Text

9.

Other

0

4.

cnn

0

7.

pbs

0

6.

msnbc

0

998.

Don’t know

0

999.

Refused

0

2.

cbs

0

8.

C-SPAN

0

1.

Yes, ABC

0

3.

nbc

0

5.

fox

0

10.

Did not watch or listen

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Sept. 30 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, all

0

998.

Don’t know

0

4.

Did not watch

0

2.

Most

0

3.

Some

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Sept. 30 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

5.

fox

0

1.

abc

0

8.

C-SPAN

0

999.

Refused

0

3.

nbc

0

7.

pbs

0

998.

Don’t know

0

4.

cnn

0

6.

msnbc

0

2.

cbs

0

9.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither did well

0

2.

Kerry

0

3.

Both did the same

0

998.

Don’t know

0

999.

Refused

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Did Better Than Expected in Sept. 30 Debate

f2529479 Location:

Value

Label

Frequency

Text

1.

Better

0

998.

Don’t know

0

3.

As expected

0

2.

Less well

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Did Better Than Expected in Sept. 30 Debate

f2529479 Location:

Value

Label

Frequency

Text

1.

Better

0

999.

Refused

0

2.

Less well

0

3.

As expected

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Bush

0

3.

Both did the same

0

4.

Neither did well

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Oct. 8 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

3.

Some

0

998.

Don’t know

0

999.

Refused

0

1.

Yes, all

0

2.

Most

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Oct. 8 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

4.

cnn

0

998.

Don’t know

0

7.

pbs

0

999.

Refused

0

6.

msnbc

0

3.

nbc

0

5.

fox

0

8.

C-SPAN

0

9.

Other

0

2.

cbs

0

1.

abc

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

3.

Both did the same

0

4.

Neither did well

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Did Better Than Expected in Oct. 8 Debate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Better

0

2.

Less well

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Did Better Than Expected in Oct. 8 Debate

f2529479 Location:

Value

Label

Frequency

Text

1.

Better

0

3.

As expected

0

999.

Refused

0

998.

Don’t know

0

2.

Less well

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Kerry

0

4.

Neither did well

0

1.

Bush

0

999.

Refused

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Oct. 13 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes, all

0

3.

Some

0

2.

Most

0

4.

Did not watch

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Oct. 13 Bush-Kerry Debate

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

cbs

0

6.

msnbc

0

999.

Refused

0

4.

cnn

0

5.

fox

0

8.

C-SPAN

0

7.

pbs

0

3.

nbc

0

9.

Other

0

1.

abc

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)

f2529479 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

4.

Neither did well

0

2.

Kerry

0

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Did Better Than Expected in Oct. 13 Debate

f2529479 Location:

Value

Label

Frequency

Text

2.

Less well

0

998.

Don’t know

0

999.

Refused

0

3.

As expected

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Did Better Than Expected in Oct. 13 Debate

f2529479 Location:

Value

Label

Frequency

Text

3.

As expected

0

999.

Refused

0

998.

Don’t know

0

2.

Less well

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Kerry

0

999.

Refused

0

4.

Neither did well

0

1.

Bush

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate

f2529479 Location:

Value

Label

Frequency

Text

2.

Inappropriate

0

998.

Don’t know

0

1.

Appropriate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Cheney-Edwards Debate

f2529479 Location:

Value

Label

Frequency

Text

3.

Some

0

2.

Most

0

1.

Yes, all

0

999.

Refused

0

4.

Did not watch

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Cheney-Edwards Debate

f2529479 Location:

Value

Label

Frequency

Text

2.

cbs

0

8.

C-SPAN

0

6.

msnbc

0

998.

Don’t know

0

9.

Other

0

7.

pbs

0

1.

abc

0

5.

fox

0

999.

Refused

0

4.

cnn

0

3.

nbc

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

TV Channel Watched for Cheney-Edwards Debate, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cheney or Edwards Did Best in Debate (Watched Debate)

f2529479 Location:

Value

Label

Frequency

Text

2.

Edwards

0

999.

Refused

0

998.

Don’t know

0

4.

Neither did well

0

1.

Cheney

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cheney Did Better Than Expected in Debate

f2529479 Location:

Value

Label

Frequency

Text

1.

Better

0

3.

As expected

0

2.

Less well

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Edwards Did Better Than Expected in Debate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Better

0

3.

As expected

0

2.

Less well

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Cheney-Edwards Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cheney or Edwards Did Best in Debate (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

4.

Neither did well

0

1.

Cheney

0

3.

Both did the same

0

998.

Don’t know

0

2.

Edwards

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Any General Election Debates

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know When Democratic Convention Held

f2529479 Location:

Value

Label

Frequency

Text

3.

Soon

0

1.

Now (correct 7/26/04–7/29/04)

0

2.

Already (correct 7/30/04 and after)

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Clinton’s Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

5.

Did not see or hear

0

1.

Yes, few minutes

0

2.

Half hour

0

998.

Don’t know

0

999.

Refused

0

3.

One hour

0

4.

Entire speech

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Edwards’ Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

4.

Did not see or hear

0

999.

Refused

0

2.

20 minutes

0

998.

Don’t know

0

3.

Entire speech

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Kerry’s Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

4.

Entire speech

0

5.

Did not see or hear

0

2.

Half hour

0

999.

Refused

0

3.

One hour

0

1.

Yes, few minutes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Coverage of Democratic Convention

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know When Republican Convention Held

f2529479 Location:

Value

Label

Frequency

Text

1.

Now (correct 8/30/04–9/2/04)

0

999.

Refused

0

3.

Soon

0

2.

Already (correct 9/3/04 and after)

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Zell Miller’s Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Entire speech

0

999.

Refused

0

2.

10 minutes

0

1.

Yes, few minutes

0

4.

Did not see or hear

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Cheney’s Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Entire speech

0

1.

Yes, few minutes

0

4.

Did not see or hear

0

2.

20 minutes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Bush’s Convention Speech

f2529479 Location:

Value

Label

Frequency

Text

5.

Did not see or hear

0

4.

Entire speech

0

999.

Refused

0

998.

Don’t know

0

3.

One hour

0

2.

Half hour

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Coverage of Republican Convention

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Convention That Was More Accurate in Describing Other

f2529479 Location:

Value

Label

Frequency

Text

3.

Both equally accurate

0

1.

Democratic

0

999.

Refused

0

998.

Don’t know

0

2.

Republican

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Campaign Ads in Past Week

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Typically Watch Political Ads

f2529479 Location:

Value

Label

Frequency

Text

5.

Do not watch TV

0

998.

Don’t know

0

999.

Refused

0

3.

Fast forward

0

1.

Watch

0

2.

Turn the channel

0

4.

Ignore

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Bush Campaign Ads

f2529479 Location:

Value

Label

Frequency

Text

3.

Have not seen, heard, or read

396

999.

Refused

0

2.

Heard or read

251

998.

Don’t know

21

1.

Yes, seen

459

Variable Format: numeric

Notes: UNF:5:xgr+C1WkwmTOB092wq5KMw==

Appropriate for Bush Ads to Show 9/11 Damage

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

3

4.

Very inappropriate

177

1.

Very appropriate

109

3.

Somewhat inappropriate

113

2.

Somewhat appropriate

118

998.

Don’t know

25

Variable Format: numeric

Notes: UNF:5:nwE43KiiB5k3J96nJKzWng==

Appropriate for Bush Ads to Show 9/11 Firefighters

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat inappropriate

111

1.

Very appropriate

87

998.

Don’t know

47

2.

Somewhat appropriate

138

999.

Refused

3

4.

Very inappropriate

196

Variable Format: numeric

Notes: UNF:5:/d1iUEDrbyPxnaB3QT+MNg==

Watched Campaign Ads Recently

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Bush or Kerry Campaign Ads Recently

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Other

0

1.

Bush

0

3.

Both

0

2.

Kerry

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learning Anything New and True From Campaign Ads

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learning Anything New From Campaign Ads

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Campaign Ads Affected Vote

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Kerry

0

4.

More likely to vote for someone else

0

3.

Makes no difference

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Contacted by Democratic Campaign in Person or by Phone

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Contacted by Democratic Campaign in Person

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

11

2.

No

307

998.

Don’t know

1

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:xbh0gF2wXTXHEjVK4/GOXw==

Contacted by Democratic Campaign by Phone

f2529479 Location:

Value

Label

Frequency

Text

2.

No

295

999.

Refused

0

1.

Yes

22

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:G1AKh/4JDrB3IHpeDCjGBg==

Contacted by Democratic Campaign by Live or Recorded Phone Call

f2529479 Location:

Value

Label

Frequency

Text

1.

Live

6

2.

Recorded

12

3.

Some callers were live; others were recorded

3

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:EeEOw7VeFbvx7qymGftNYA==

Number of Phone Calls From Democratic Campaign

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:Hpef3zJb+osRoG5MUslr3g==

Contacted About Election by Group Other Than Democratic Campaign

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

999.

Refused

0

2.

No

293

1.

Yes

23

Variable Format: numeric

Notes: UNF:5:gqwiFBwyhmS8mlkobDR1AA==

Reminded to Vote, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, party

0

3.

Other group

0

4.

No

0

999.

Refused

0

2.

Individual

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reminded to Vote, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, party

0

999.

Refused

0

998.

Don’t know

0

2.

Individual

0

3.

Other group

0

4.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reminded to Vote, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

Individual

0

999.

Refused

0

3.

Other group

0

1.

Yes, party

0

4.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reminded to Vote by Republicans or Democrats

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Republicans

0

999.

Refused

0

3.

Other

0

2.

Democrats

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reminded to Vote by Republicans or Democrats, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Reminded to Vote by Advocate for Candidate

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot, 1 of 4

f2529479 Location:

Value

Label

Frequency

Text

5.

No

0

4.

Other group

0

2.

Government office

0

998.

Don’t know

0

3.

Individual

0

999.

Refused

0

1.

Yes, party

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot, 2 of 4

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, party

0

999.

Refused

0

4.

Other group

0

5.

No

0

3.

Individual

0

998.

Don’t know

0

2.

Government office

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot, 3 of 4

f2529479 Location:

Value

Label

Frequency

Text

3.

Individual

0

1.

Yes, party

0

5.

No

0

4.

Other group

0

998.

Don’t know

0

999.

Refused

0

2.

Government office

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot, 4 of 4

f2529479 Location:

Value

Label

Frequency

Text

4.

Other group

0

2.

Government office

0

5.

No

0

1.

Yes, party

0

999.

Refused

0

3.

Individual

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot by Republicans or Democrats

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Other

0

1.

Republicans

0

2.

Democrats

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Offered Help to Get Early Ballot by Advocate for Candidate

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Received Campaign Brochures

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

5

999.

Refused

0

1.

Yes

60

2.

No

254

Variable Format: numeric

Notes: UNF:5:YoLH60ymqWR8Zv/3WOY33A==

Received Campaign Brochures by Mail

f2529479 Location:

Value

Label

Frequency

Text

3.

None

6

998.

Don’t know

1

1.

All

37

999.

Refused

0

2.

Some

16

Variable Format: numeric

Notes: UNF:5:RMUmVsuZRUBKyF0UnFpu7Q==

Received Campaign Emails

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

0

2.

No

284

1.

Yes

33

Variable Format: numeric

Notes: UNF:5:SlyFI+/1vP9L3QWRyF0gKw==

Received Republican Email Link to Video About Kerry

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Republican Video on Kerry

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Republican Video Changed Opinion of Kerry

f2529479 Location:

Value

Label

Frequency

Text

1.

More

0

998.

Don’t know

0

999.

Refused

0

3.

Did not change

0

2.

Less

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Heard or Read About 2004 State of the Union

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Bush on “Meet the Press”

f2529479 Location:

Value

Label

Frequency

Text

4.

Did not watch

0

2.

Most

0

3.

Some

0

998.

Don’t know

0

999.

Refused

0

1.

Yes, all

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Bush on “Meet the Press” (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

“Meet the Press” Changed Opinion of Bush

f2529479 Location:

Value

Label

Frequency

Text

2.

Less

0

999.

Refused

0

3.

Did not change

0

998.

Don’t know

0

1.

More

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched 9/11 Commission Hearings

f2529479 Location:

Value

Label

Frequency

Text

4.

{3/24/04–3/25/04: Have not been watching | 3/26/04–3/29/04,

0

998.

Don’t know

0

2.

News coverage

0

1.

Yes, live or tape

0

999.

Refused

0

3.

Both live or tape and news coverage

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With 9/11 Commission Hearings (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Rice’s Testimony to 9/11 Commission

f2529479 Location:

Value

Label

Frequency

Text

2.

News coverage

0

999.

Refused

0

3.

Both live or tape and news coverage

0

998.

Don’t know

0

4.

Did not watch

0

1.

Yes, live or tape

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Familiar With Richard Clarke’s Book

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Believe Clarke’s Charges

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat

0

1.

Very

0

3.

Not too

0

4.

Not at all

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched Reagan Funeral

f2529479 Location:

Value

Label

Frequency

Text

4.

Did not watch

0

3.

Not much

0

1.

Yes, all

0

999.

Refused

0

2.

Some

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched “Fahrenheit 911”

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

“Fahrenheit 911” Changed Opinion of Bush

f2529479 Location:

Value

Label

Frequency

Text

5.

Great deal better

0

4.

Somewhat better

0

1.

Great deal worse

0

999.

Refused

0

3.

Same

0

2.

Somewhat worse

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Watch “Fahrenheit 911”

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Watched “The Day After Tomorrow”

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Candidates Criticizing Opponents

f2529479 Location:

Value

Label

Frequency

Text

3.

Not much

51

2.

Some

219

5.

Depends on the candidate

7

1.

Great deal

318

999.

Refused

2

998.

Don’t know

32

4.

Not doing this

10

Variable Format: numeric

Notes: UNF:5:DGJI+4e+M3TpESG0jz3xhg==

Candidates Talking About What Would Do if Elected

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

37

3.

Not much

102

1.

Great deal

196

2.

Some

269

4.

Not doing this

22

5.

Depends on the candidate

11

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:QZoRmlFRh/j6UszzY5FLXQ==

Candidates Talking About Solving Problems

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

36

1.

Great deal

169

999.

Refused

2

5.

Depends on the candidate

11

2.

Some

306

4.

Not doing this

17

3.

Not much

98

Variable Format: numeric

Notes: UNF:5:LZXok0POWKm4Yg+mHoatJA==

Bush Criticizing Opponent

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Some

0

998.

Don’t know

0

1.

Great deal

0

4.

Not doing this

0

3.

Not much

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Criticizing Opponent

f2529479 Location:

Value

Label

Frequency

Text

3.

Not much

0

1.

Great deal

0

999.

Refused

0

998.

Don’t know

0

2.

Some

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Talking About Solving Problems

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Some

0

1.

Great deal

0

4.

Not doing this

0

3.

Not much

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Talking About Solving Problems

f2529479 Location:

Value

Label

Frequency

Text

2.

Some

0

4.

Not doing this

0

1.

Great deal

0

998.

Don’t know

0

999.

Refused

0

3.

Not much

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Criticizing Opponent or Talking About Solving Problems

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Criticizing opponent

0

998.

Don’t know

0

2.

Talking about solving problems

0

3.

Doing both equally

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Kerry Criticizing Opponent or Talking About Solving Problems

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Talking about solving problems

0

1.

Criticizing opponent

0

3.

Doing both equally

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Honesty of Bush Campaign

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Honesty of Kerry Campaign

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learned Enough About Democratic Candidates and Issues So Far

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

6

1.

Learned enough

151

998.

Don’t know

10

2.

Difficult to choose

229

Variable Format: numeric

Notes: UNF:5:QBWtJcKey1HmHf2afmuSng==

Learned Enough About Candidates and Issues Before Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

5

999.

Refused

5

2.

Difficult to choose

134

1.

Learned enough

304

Variable Format: numeric

Notes: UNF:5:Nn6G/HTE25zhAgRYvYQUnw==

Learned Enough About Bush So Far

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learned Enough About Kerry So Far

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learned Enough About Candidates and Issues So Far

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Learned enough

0

998.

Don’t know

0

2.

Difficult to choose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Learned Enough About Candidates and Issues Before General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Learned enough

0

998.

Don’t know

0

999.

Refused

0

2.

Difficult to choose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Follow Politics

f2529479 Location:

Value

Label

Frequency

Text

4.

Hardly at all

142

2.

Sometime

919

1.

Most times

1098

998.

Don’t know

3

3.

Now and then

363

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:h0l2xDutrbmBcuWUpuJfcQ==

Following Democratic Campaign

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat

659

4.

Not at all

153

1.

Very

335

998.

Don’t know

4

999.

Refused

3

3.

Not too

253

Variable Format: numeric

Notes: UNF:5:9VPMty5889BebbruVMH2fw==

Thought About Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Little

0

1.

A lot

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Following Campaign

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

1.

Very

310

4.

Not at all

83

3.

Not too

214

998.

Don’t know

2

2.

Somewhat

508

Variable Format: numeric

Notes: UNF:5:+tf7rgOAG2pAkOwxn3WT5w==

Interested in Campaign

f2529479 Location:

Value

Label

Frequency

Text

3.

Not much

0

1.

Very

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Discussed Politics With Family or Friends in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:UdEKM7U/9YLyqikPAqTIig==

Type of Politics Discussed With Family or Friends in Past Week

f2529479 Location:

Value

Label

Frequency

Text

3.

Local

154

1.

National

952

999.

Refused

1

998.

Don’t know

7

2.

State

96

4.

Mix of national, state, and local

344

5.

International

10

Variable Format: numeric

Notes: UNF:5:IldYCq8idHID1IUa9dlsoA==

Discussed Politics at Work in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

4

Variable Format: numeric

Notes: UNF:5:x9lHS0WUflHovE6TU8jTxw==

Type of Politics Discussed at Work in Past Week

f2529479 Location:

Value

Label

Frequency

Text

1.

National

557

5.

International

10

4.

Mix of national, state, and local

198

998.

Don’t know

0

3.

Local

114

2.

State

67

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:02H0PXXZnlUB3l9MArILxg==

Discussed Politics Online in Past Week

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:nznRK6zX1r7Ry+5KScSzdQ==

Type of Politics Discussed Online in Past Week

f2529479 Location:

Value

Label

Frequency

Text

1.

National

122

4.

Mix of national, state, and local

18

5.

International

5

2.

State

12

999.

Refused

1

998.

Don’t know

1

3.

Local

14

Variable Format: numeric

Notes: UNF:5:hVG6EiWnCpsRRi3r9uTENA==

Intend to Participate in Campaign

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Somewhat

0

1.

Very

0

3.

Not very

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Tried to Influence Others’ Voting

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

102

2.

No

217

Variable Format: numeric

Notes: UNF:5:uyCn5+CliJsaXolZkWi5jw==

Attended Political Meetings

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

304

998.

Don’t know

0

1.

Yes

15

Variable Format: numeric

Notes: UNF:5:Y5kQjU1qQSqGbCYQZy27TQ==

Did Other Work for Candidate

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

316

999.

Refused

0

1.

Yes

3

Variable Format: numeric

Notes: UNF:5:F/TvnsEP16vQMGxZqmtTXQ==

Donated Money to Candidate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

304

998.

Don’t know

1

1.

Yes

14

Variable Format: numeric

Notes: UNF:5:hU4QLaYK4O5dUoxGjWNCWw==

Method of Donating Money to Candidate, 1 of 4

f2529479 Location:

Value

Label

Frequency

Text

1.

Mail

5

998.

Don’t know

0

999.

Refused

0

3.

In person

2

4.

Other

5

2.

Internet

2

Variable Format: numeric

Notes: UNF:5:WBBGvniceeRSG0FHzbjQNA==

Method of Donating Money to Candidate, 2 of 4

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

Other

0

1.

Mail

0

2.

Internet

1

3.

In person

0

Variable Format: numeric

Notes: UNF:5:u7XeT3rs7CX28jATdkBVWg==

Method of Donating Money to Candidate, 3 of 4

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Internet

0

999.

Refused

0

4.

Other

0

1.

Mail

0

3.

In person

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Method of Donating Money to Candidate, 4 of 4

f2529479 Location:

Value

Label

Frequency

Text

4.

Other

0

2.

Internet

0

3.

In person

0

998.

Don’t know

0

1.

Mail

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Method of Donating Money to Candidate, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:IhM4i0NWgUock8WyLaXNmw==

Wore Campaign Button or Displayed Sign

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

13

998.

Don’t know

0

999.

Refused

0

2.

No

306

Variable Format: numeric

Notes: UNF:5:JVlHIwzjHsGWBlFBIY/tGQ==

Party ID

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

82

999.

Refused

22

4.

Something else

134

1.

Republican

753

3.

Independent

707

2.

Democrat

827

Variable Format: numeric

Notes: UNF:5:xVcrvnOXVHx9xFDBXMRLvQ==

Party ID, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:Ni2EK9vcUWPZ2ifkc5CE5A==

Strength of Party ID

f2529479 Location:

Value

Label

Frequency

Text

1.

Strong

1394

2.

Not strong

846

999.

Refused

6

998.

Don’t know

41

Variable Format: numeric

Notes: UNF:5:EB34c6uGuFDVfuuGTzjR5Q==

Lean Republican or Democrat

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

60

3.

Neither Republican nor Democrat

223

1.

Republican

293

2.

Democratic

355

999.

Refused

14

Variable Format: numeric

Notes: UNF:5:RRh2ubJiaZEK3sYgGyW2Vw==

Lean Independent or Democrat

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

10

1.

Independent

155

999.

Refused

3

4.

Other

15

3.

Republican

18

2.

Democrat

18

Variable Format: numeric

Notes: UNF:5:lOCO7GAeLxnRZKNcT2HMXA==

Lean Independent or Republican

f2529479 Location:

Value

Label

Frequency

Text

2.

Republican

25

4.

Other

10

1.

Independent

181

3.

Democrat

20

999.

Refused

3

998.

Don’t know

5

Variable Format: numeric

Notes: UNF:5:dhsyrjNzv6eMgU3ieyfnQQ==

Conservative or Liberal

f2529479 Location:

Value

Label

Frequency

Text

1.

Very conservative

196

3.

Moderate

986

998.

Don’t know

54

999.

Refused

12

5.

Very liberal

113

4.

Liberal

432

2.

Conservative

732

Variable Format: numeric

Notes: UNF:5:qaskZVlhsw5UQQPt7bu02Q==

Conservative or Liberal on Social Issues

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

4

998.

Don’t know

13

5.

Very liberal

57

1.

Very conservative

76

3.

Moderate

205

4.

Liberal

148

2.

Conservative

172

Variable Format: numeric

Notes: UNF:5:MyE8XXYwsusCn/9FzpB5IA==

Conservative or Liberal on Economic Issues

f2529479 Location:

Value

Label

Frequency

Text

5.

Very liberal

26

2.

Conservative

240

3.

Moderate

258

999.

Refused

6

1.

Very conservative

61

4.

Liberal

77

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:xW8QNYxqiY7Xjj37Xxm6yQ==

Trust Government (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

4.

Never (volunteered)

0

999.

Refused

0

1.

Always

0

2.

Most times

0

998.

Don’t know

0

3.

Sometime

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Trust Government (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

1.

Always

17

4.

Never

53

2.

Most times

219

3.

Sometime

551

999.

Refused

3

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:wKGtGHISh+SQpAY4qmN8mg==

Trust Business Executives

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Not much

0

4.

None

0

2.

Fair amount

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Trust Elected Officials

f2529479 Location:

Value

Label

Frequency

Text

1.

Great deal

21

999.

Refused

1

2.

Fair amount

284

4.

None

43

3.

Not much

261

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:xyKYvxawzFl55brdKDaPzQ==

Confidence in Executive Branch

f2529479 Location:

Value

Label

Frequency

Text

4.

None

91

998.

Don’t know

9

999.

Refused

2

3.

Not much

319

1.

Great deal

175

2.

Fair amount

636

Variable Format: numeric

Notes: UNF:5:FLqkLpOYcEOEoMmHcOv7og==

Confidence in Legislative Branch

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

16

3.

Not much

373

4.

None

61

999.

Refused

1

2.

Fair amount

704

1.

Great deal

77

Variable Format: numeric

Notes: UNF:5:npzEFmQYOKeex6RI9byWJQ==

Confidence in Judicial Branch

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

12

1.

Great deal

187

3.

Not much

281

4.

None

82

999.

Refused

2

2.

Fair amount

668

Variable Format: numeric

Notes: UNF:5:E888BUbhK77Qfr7RenLtuQ==

Confidence in State Elected Officials

f2529479 Location:

Value

Label

Frequency

Text

2.

Fair amount

0

3.

Not much

0

4.

None

0

998.

Don’t know

0

1.

Great deal

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Confidence in Local Government

f2529479 Location:

Value

Label

Frequency

Text

3.

Not much

0

2.

Fair amount

0

998.

Don’t know

0

999.

Refused

0

1.

Great deal

0

4.

None

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Politics Too Complicated

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

230

998.

Don’t know

7

4.

Strongly disagree

333

999.

Refused

2

1.

Strongly agree

272

2.

Somewhat agree

443

5.

Neither agree nor disagree

6

Variable Format: numeric

Notes: UNF:5:uXUih2citmTMrBv9AUW1bw==

People Like Me Have No Say in Government

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

332

998.

Don’t know

12

1.

Strongly agree

237

2.

Somewhat agree

312

5.

Neither agree nor disagree

3

999.

Refused

5

4.

Strongly disagree

392

Variable Format: numeric

Notes: UNF:5:wFprYIZA8vAYVbnMw2wdVA==

Duty to Keep Informed About Politics

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Neither agree nor disagree

0

3.

Somewhat disagree

0

2.

Somewhat agree

0

999.

Refused

0

1.

Strongly agree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Does Not Matter if Do Not Follow Politics

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

284

999.

Refused

2

2.

Somewhat agree

177

1.

Strongly agree

90

5.

Neither agree nor disagree

4

998.

Don’t know

24

4.

Strongly disagree

712

Variable Format: numeric

Notes: UNF:5:iRMEva0AM565cj3vxGTAEg==

Presidents Try to Keep Promises

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

7

998.

Don’t know

21

4.

Strongly disagree

199

3.

Somewhat disagree

260

1.

Strongly agree

153

5.

Neither agree nor disagree

10

2.

Somewhat agree

643

Variable Format: numeric

Notes: UNF:5:Kui0AozyNd6Q3lT+xZQmbg==

Candidates Try to Keep Promises

f2529479 Location:

Value

Label

Frequency

Text

4.

Rarely

0

1.

Always

0

999.

Refused

0

5.

Never

0

3.

Sometime

0

998.

Don’t know

0

2.

Most times

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Presidents Make Decisions in Nation’s Interest

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

26

5.

Neither agree nor disagree

17

3.

Somewhat disagree

237

2.

Somewhat agree

588

999.

Refused

10

4.

Strongly disagree

135

1.

Strongly agree

280

Variable Format: numeric

Notes: UNF:5:iXw9Dbft8SNbpq4zceguyg==

Know Cheney Is Vice President

f2529479 Location:

Value

Label

Frequency

Text

1.

Vice president (correct)

1003

2.

Other answer

49

998.

Don’t know

241

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:/2Yyv3gL4FPTbmdjkot7XA==

Know Cheney Is Vice President, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:0LN4yuIm4ke6JDDXWwtzfw==

Don’t-Know Prompt for cMC01

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

260

0.

Respondent answered without prompting

1033

Variable Format: numeric

Notes: UNF:5:uNgfUEGpwSBiidFfWD+lvQ==

Know Supreme Court Determines Constitutionality of Laws

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

56

1.

President

89

999.

Refused

2

2.

Congress

278

3.

Supreme Court (correct)

868

Variable Format: numeric

Notes: UNF:5:hjot49kkSy2je7IJxAOXdQ==

Don’t-Know Prompt for cMC03

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

1226

1.

Respondent said don’t know and was prompted, “Anything come

67

Variable Format: numeric

Notes: UNF:5:Q2GhPpoegUncOgwsJusJDA==

Know Two-Thirds Majority Overrides Veto

f2529479 Location:

Value

Label

Frequency

Text

1.

Two-thirds (correct)

495

998.

Don’t know

432

2.

Other answer

366

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:onEnMzDlk3myL6/geW7wwA==

Know Two-Thirds Majority Overrides Veto, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:/kTW6oMS31KPfnf7DQqR1w==

Don’t-Know Prompt for cMC05

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

476

0.

Respondent answered without prompting

817

Variable Format: numeric

Notes: UNF:5:lv+4L7h1U+2zzzsjaA+SbA==

Know Republicans Are Majority Party in House

f2529479 Location:

Value

Label

Frequency

Text

2.

Republican (correct)

906

998.

Don’t know

243

999.

Refused

1

1.

Democratic

143

Variable Format: numeric

Notes: UNF:5:ZluohND1LPSKomMLR/udNg==

Don’t-Know Prompt for cMC07

f2529479 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

273

0.

Respondent answered without prompting

1020

Variable Format: numeric

Notes: UNF:5:atcOf7zk83Cn6dXkHckYZA==

Know Republican Party Is More Conservative

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

9

1.

Democratic

242

2.

Republican (correct)

901

998.

Don’t know

141

Variable Format: numeric

Notes: UNF:5:ReTroTQ9I5+yYrJPVvfedg==

Don’t-Know Prompt for cMC09

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

1138

1.

Respondent said don’t know and was prompted, “Anything come

155

Variable Format: numeric

Notes: UNF:5:SwJi+LVx7iwHdkvzqg++Vg==

Chance Clark Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Dean Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Edwards Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Gephardt Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Kerry Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Lieberman Will Win Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Won Most Primaries, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

2.

Howard Dean

0

7.

Joe Lieberman

0

5.

John Kerry (correct)

0

999.

Refused

0

10.

Other

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Won Most Primaries, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

10.

Other

0

5.

John Kerry (correct)

0

1.

Wesley Clark

0

9.

Al Sharpton

0

3.

John Edwards

0

7.

Joe Lieberman

0

999.

Refused

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Won Most Primaries, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

3.

John Edwards

0

4.

Richard Gephardt

0

998.

Don’t know

0

5.

John Kerry (correct)

0

8.

Carol Moseley Braun

0

10.

Other

0

1.

Wesley Clark

0

9.

Al Sharpton

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Won Most Primaries, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

10.

Other

0

2.

Howard Dean

0

999.

Refused

0

998.

Don’t know

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Candidate Who Won Most Primaries, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

998.

Don’t know

0

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

10.

Other

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

3.

John Edwards

0

1.

Wesley Clark

0

9.

Al Sharpton

0

999.

Refused

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cNA07

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Clark Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Bush Will Beat Clark

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cNA09–cNA10

f2529479 Location:

Value

Label

Frequency

Text

1.

cNA09 (Clark will beat Bush)

0

2.

cNA10 (Bush will beat Clark)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Dean Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Bush Will Beat Dean

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cNA12–cNA13

f2529479 Location:

Value

Label

Frequency

Text

2.

cNA13 (Bush will beat Dean)

0

1.

cNA12 (Dean will beat Bush)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Edwards Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Bush Will Beat Edwards

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cNA15–cNA16

f2529479 Location:

Value

Label

Frequency

Text

1.

cNA15 (Edwards will beat Bush)

0

2.

cNA16 (Bush will beat Edwards)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Gephardt Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Bush Will Beat Gephardt

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cNA18–cNA19

f2529479 Location:

Value

Label

Frequency

Text

2.

cNA19 (Bush will beat Gephardt)

0

1.

cNA18 (Gephardt will beat Bush)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Kerry Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

4

998.

Don’t know

23

Variable Format: numeric

Notes: UNF:5:JS4WLAgKPCd1sgqgbaVJng==

Chance Bush Will Beat Kerry

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

7

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:oUys4USiyUI3WnN69uvCgw==

Random Assignment to cNA21–cNA22

f2529479 Location:

Value

Label

Frequency

Text

2.

cNA22 (Bush will beat Kerry)

1079

1.

cNA21 (Kerry will beat Bush)

1213

Variable Format: numeric

Notes: UNF:5:bd+vWbLRCNj5m0zVHFmKpA==

Chance Lieberman Will Beat Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance Bush Will Beat Lieberman

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cNA24–cNA25

f2529479 Location:

Value

Label

Frequency

Text

2.

cNA25 (Bush will beat Lieberman)

0

1.

cNA24 (Lieberman will beat Bush)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Gore’s Endorsement for Primary

f2529479 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

10.

Other

0

2.

Howard Dean (correct)

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

999.

Refused

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

998.

Don’t know

0

5.

John Kerry

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gore’s Endorsement of Dean Affects Vote

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Less

0

3.

No difference

0

1.

More

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Bradley’s Endorsement for Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

John Edwards

0

2.

Howard Dean (correct)

0

1.

Wesley Clark

0

10.

Other

0

5.

John Kerry

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

999.

Refused

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know Madonna’s Endorsement for Primary

f2529479 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

999.

Refused

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

9.

Al Sharpton

0

1.

Wesley Clark (correct)

0

10.

Other

0

2.

Howard Dean

0

7.

Joe Lieberman

0

998.

Don’t know

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know if Bush or Gore Has More Support From Retired Military Leaders

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush (correct)

0

998.

Don’t know

0

3.

Both

0

2.

Kerry

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Don’t-Know Prompt for cNB12

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

General Election Endorsement by Newspaper Read Most

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Did not endorse candidate

0

999.

Refused

0

4.

Someone else

0

1.

Yes, Bush

0

2.

Kerry

0

3.

Nader

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

General Election Endorsement Affected Vote

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

General Election Endorsement Affected Vote, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Registered to Vote

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

20

999.

Refused

6

1.

Registered

2103

2.

Not registered

396

Variable Format: numeric

Notes: UNF:5:+hVFwO1SFxDaiHNHtUrywQ==

First Time Registered to Vote

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Registered before

0

1.

First time

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Democratic Presidential Primary Election Status

f2529479 Location:

Value

Label

Frequency

Text

1.

Interviewed before state’s Democratic primary

905

2.

Interviewed after state’s Democratic primary

1620

Variable Format: numeric

Notes: UNF:5:T1QYNDQy6QXEFDc9Ag5T5w==

Intend to Vote in Primary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

4

998.

Don’t know

37

2.

No

171

3.

Intend to vote in different primary

0

1.

Yes

657

Variable Format: numeric

Notes: UNF:5:CK5e7A2afQ3f23HTyX22sw==

Chance of Voting in Primary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

3

Variable Format: numeric

Notes: UNF:5:4/iL3l5yRJIYJdMctFyObw==

Intend to Vote in Republican or Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

1.

Republican

271

999.

Refused

6

998.

Don’t know

72

3.

Other

8

2.

Democratic

300

Variable Format: numeric

Notes: UNF:5:H5LgskDcr/y7ZZ/Oy9WRZw==

Candidate Intend to Vote for in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

7.

Lieberman

0

4.

Gephardt

0

8.

Moseley Braun

0

1.

Clark

0

998.

Don’t know

0

5.

Kerry

0

11.

Would not vote

0

6.

Kucinich

0

10.

Other

0

999.

Refused

0

3.

Edwards

0

9.

Sharpton

0

2.

Dean

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance of Voting for Different Candidate in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

3.

Unlikely will change mind

0

2.

Good chance will change mind

0

999.

Refused

0

998.

Don’t know

0

1.

Definitely will vote for candidate

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Supporting Candidate in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

4.

Defeating Bush

0

1.

Record

0

5.

Other

0

2.

Issues

0

998.

Don’t know

0

999.

Refused

0

3.

Personality

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Early Vote in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

30

999.

Refused

0

2.

No

181

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:EzEkUTK+Sh5huBWgUuRHNg==

Intended Method of Early Voting in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

7.

Online

2

5.

Someone else dropping off

1

3.

Fax

0

8.

Other

1

4.

Personally dropping off

3

999.

Refused

1

1.

Polling station

17

6.

Phone

0

2.

Mail

5

Variable Format: numeric

Notes: UNF:5:y42wN246UiF+G5zMgQQfiQ==

Voted in Primary

f2529479 Location:

Value

Label

Frequency

Text

2.

No

1744

999.

Refused

7

3.

Intend to vote in different primary

6

1.

Yes

766

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:QcnPgRO2jRtQUR9+v7JTsA==

Voted in Republican or Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

25

2.

Democratic

448

998.

Don’t know

34

1.

Republican

259

Variable Format: numeric

Notes: UNF:5:nGBfZxxBquk4kylhI5jAvQ==

Candidate Voted for in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

3.

Edwards

93

4.

Gephardt

0

998.

Don’t know

11

999.

Refused

23

11.

Did not vote for presidential nominee

13

5.

Kerry

258

6.

Kucinich

12

9.

Sharpton

10

1.

Clark

0

10.

Other

28

8.

Moseley Braun

0

2.

Dean

0

7.

Lieberman

0

Variable Format: numeric

Notes: UNF:5:CbgyJHmtOhGeorjRJ7mh1A==

When Made Up Mind About Democratic Primary Vote

f2529479 Location:

Value

Label

Frequency

Text

3.

Weekend

7

999.

Refused

0

6.

More than one month before

28

4.

One week

44

2.

One day before

3

1.

Election Day

28

998.

Don’t know

2

5.

One month

36

Variable Format: numeric

Notes: UNF:5:4kq2evHpJkZcRcEYNYMp4w==

Ever Intended to Vote for Different Candidate in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

2.

Howard Dean

24

4.

Richard Gephardt

0

6.

Dennis Kucinich

1

11.

Did not change mind

61

998.

Don’t know

9

3.

John Edwards

14

5.

John Kerry

14

1.

Yes, Wesley Clark

0

9.

Al Sharpton

2

8.

Carol Moseley Braun

0

999.

Refused

3

10.

Other

20

Variable Format: numeric

Notes: UNF:5:Xaauk0fxJNjcWhC9qPDrMg==

Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:ppN62oeKUOnHuro8JGqZFg==

Why Supported Candidate in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

5.

Other

0

2.

Issues

0

3.

Personality

0

4.

Defeating Bush

0

998.

Don’t know

0

999.

Refused

0

1.

Record

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Early Voted in Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

2.

No

538

1.

Yes

225

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:Z1bVIXoxmExetCyeGm90fQ==

Method of Early Voting in Primary

f2529479 Location:

Value

Label

Frequency

Text

5.

Someone else dropping off

0

998.

Don’t know

1

4.

Personally dropping off

16

2.

Mail

88

999.

Refused

1

3.

Fax

1

1.

Polling station

107

7.

Online

3

8.

Other

7

6.

Phone

1

Variable Format: numeric

Notes: UNF:5:L4SxSey/e8OYSy6jidpNpg==

Date of Early Voting in Primary (Asked Pre-Election)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

4.

Four to seven days

5

2.

Yesterday

0

1.

Today

6

5.

More than one week ago

7

3.

Two to three days ago

12

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:hzSHWP9fWojyldwFYAz+mw==

Date of Early Voting in Primary (Asked Post-Election)

f2529479 Location:

Value

Label

Frequency

Text

4.

One to to weeks

51

5.

Three to four weeks

6

2.

Two to three days

34

6.

More than one month before

11

998.

Don’t know

15

3.

Four to seven days

35

1.

Day before

37

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:2NvPuU2nmTLvQwkskZl0Sg==

Would Change Early Vote in Democratic Primary

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

0

2.

No

81

1.

Yes

8

Variable Format: numeric

Notes: UNF:5:y8xDrvLJgULW32gUaY26SA==

Why Did Not Vote in Primary, 1 of 5

f2529479 Location:

Value

Label

Frequency

Text

1.

Not registered

169

5.

Republican / Bush running unopposed

40

6.

It was for Democrats

68

998.

Don’t know

33

7.

Primary not being held

18

9.

Other

278

2.

No time / too busy

168

999.

Refused

4

3.

Not interested / not following the election

60

4.

Vote is a waste of time

12

8.

Don’t like candidates / no one to vote for

27

Variable Format: numeric

Notes: UNF:5:5F4Yd4LhzozxTl70ItWw/Q==

Why Did Not Vote in Primary, 2 of 5

f2529479 Location:

Value

Label

Frequency

Text

6.

It was for Democrats

1

998.

Don’t know

0

999.

Refused

0

2.

No time / too busy

0

8.

Don’t like candidates / no one to vote for

0

5.

Republican / Bush running unopposed

2

7.

Primary not being held

1

9.

Other

3

1.

Not registered

0

3.

Not interested / not following the election

0

4.

Vote is a waste of time

0

Variable Format: numeric

Notes: UNF:5:eBfhJ2+xZ7DjW3aihC/oaw==

Why Did Not Vote in Primary, 3 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Other

0

6.

It was for Democrats

0

7.

Primary not being held

0

2.

No time / too busy

0

5.

Republican / Bush running unopposed

0

999.

Refused

0

4.

Vote is a waste of time

0

8.

Don’t like candidates / no one to vote for

0

1.

Not registered

0

998.

Don’t know

0

3.

Not interested / not following the election

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Did Not Vote in Primary, 4 of 5

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

9.

Other

0

998.

Don’t know

0

5.

Republican / Bush running unopposed

0

2.

No time / too busy

0

3.

Not interested / not following the election

0

1.

Not registered

0

6.

It was for Democrats

0

8.

Don’t like candidates / no one to vote for

0

7.

Primary not being held

0

4.

Vote is a waste of time

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Did Not Vote in Primary, 5 of 5

f2529479 Location:

Value

Label

Frequency

Text

9.

Other

0

2.

No time / too busy

0

7.

Primary not being held

0

3.

Not interested / not following the election

0

998.

Don’t know

0

999.

Refused

0

4.

Vote is a waste of time

0

5.

Republican / Bush running unopposed

0

6.

It was for Democrats

0

8.

Don’t like candidates / no one to vote for

0

1.

Not registered

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Did Not Vote in Primary, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:J0/bmsevbyI4XK7lvyxrXw==

Intend to Vote in General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Chance of Voting in General Election

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Democrat

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Depends

0

2.

Democrat

0

4.

Would not vote

0

3.

Other

0

999.

Refused

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Clark

f2529479 Location:

Value

Label

Frequency

Text

3.

Other

0

4.

Would not vote

0

2.

Clark

0

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Dean

f2529479 Location:

Value

Label

Frequency

Text

2.

Dean

0

999.

Refused

0

998.

Don’t know

0

4.

Would not vote

0

1.

Bush

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Edwards

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Other

0

1.

Bush

0

2.

Edwards

0

4.

Would not vote

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Kerry

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

58

3.

Other

18

4.

Would not vote

24

2.

Kerry

639

1.

Bush

604

999.

Refused

16

Variable Format: numeric

Notes: UNF:5:9DWxDOS5wKHEJDTD/5HUkA==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2

f2529479 Location:

Value

Label

Frequency

Text

4.

John Kerry (cRC07)

0

2.

Howard Dean (variable cRC05)

0

3.

John Edwards (cRC06)

0

1.

Wesley Clark (variable cRC04)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards (cRC06)

0

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

0

1.

Wesley Clark (variable cRC04)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2

f2529479 Location:

Value

Label

Frequency

Text

3.

John Edwards (cRC06)

0

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2

f2529479 Location:

Value

Label

Frequency

Text

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

0

3.

John Edwards (cRC06)

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush, Kerry, or Nader (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

392

5.

Would not vote

15

998.

Don’t know

56

999.

Refused

6

4.

Other

2

3.

Nader

39

2.

Kerry

412

Variable Format: numeric

Notes: UNF:5:dJXfyh/IPXmFCgTxTWNgBw==

Intend to Vote for Bush, Kerry, or Nader (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

44

5.

Would not vote

1

1.

Bush

45

999.

Refused

0

998.

Don’t know

7

3.

Nader

4

4.

Other

0

Variable Format: numeric

Notes: UNF:5:SlM8h5Oryzsa0frAnlrAEg==

Intend to Vote for Bush, Kerry, or Nader (Wording #3)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry

0

998.

Don’t know

0

4.

Other

0

3.

Nader

0

1.

Bush

0

5.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush, Kerry, or Nader (Wording #4)

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

4.

Other

0

5.

Would not vote

0

2.

Kerry

0

3.

Nader

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush, Kerry, or Nader (Wording #5)

f2529479 Location:

Value

Label

Frequency

Text

5.

Would not vote

0

3.

Nader

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

1.

Bush

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intend to Vote for Bush or Kerry if Nader Not on Ballot

f2529479 Location:

Value

Label

Frequency

Text

3.

Write in Nader

0

4.

Other

0

998.

Don’t know

0

5.

Would not vote

0

2.

Kerry

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Definitely Intend to Vote for Bush in General Election

f2529479 Location:

Value

Label

Frequency

Text

2.

Good chance will change mind

164

999.

Refused

2

3.

Unlikely will change mind

140

998.

Don’t know

25

1.

Definitely will vote for candidate

710

Variable Format: numeric

Notes: UNF:5:kia4NrOVRAfUxM9TKyYvqA==

Definitely Intend to Vote for Kerry in General Election

f2529479 Location:

Value

Label

Frequency

Text

3.

Unlikely will change mind

136

2.

Good chance will change mind

129

998.

Don’t know

27

999.

Refused

4

1.

Definitely will vote for candidate

799

Variable Format: numeric

Notes: UNF:5:lpTTOIHtuLGST3ctP732+g==

Definitely Intend to Vote for Nader in General Election

f2529479 Location:

Value

Label

Frequency

Text

2.

Good chance will change mind

22

1.

Definitely will vote for candidate

12

999.

Refused

0

3.

Unlikely will change mind

7

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:FFqp4bn0qOJet+6jCOWwuw==

Enthusiastic About Bush-Cheney

f2529479 Location:

Value

Label

Frequency

Text

1.

Extremely

0

4.

Not at all

0

998.

Don’t know

0

2.

Very

0

3.

Somewhat

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Upset About Bush-Cheney

f2529479 Location:

Value

Label

Frequency

Text

1.

Extremely

0

2.

Very

0

998.

Don’t know

0

4.

Not at all

0

3.

Somewhat

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Enthusiastic About Kerry-Edwards

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat

0

998.

Don’t know

0

4.

Not at all

0

999.

Refused

0

1.

Extremely

0

2.

Very

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Upset About Kerry-Edwards

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat

0

999.

Refused

0

998.

Don’t know

0

2.

Very

0

4.

Not at all

0

1.

Extremely

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Supporting Bush Because Against Kerry

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

For Bush

0

998.

Don’t know

0

2.

Against Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Supporting Kerry Because Against Bush

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Against Bush

0

998.

Don’t know

0

1.

For Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Bush Should Keep Cheney as Running Mate

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

8

1.

Keep Cheney

326

998.

Don’t know

44

2.

Choose someone new

152

Variable Format: numeric

Notes: UNF:5:VpRoFrsHsJ0ddOjDvZYJ5g==

Intend to Early Vote in General Election

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Intended Method of Early Voting in General Election

f2529479 Location:

Value

Label

Frequency

Text

4.

Personally dropping off

0

8.

Other

0

3.

Fax

0

998.

Don’t know

0

7.

Online

0

2.

Mail

0

999.

Refused

0

5.

Someone else dropping off

0

6.

Phone

0

1.

Polling station

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted in General Election

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted for Bush, Kerry, or Nader

f2529479 Location:

Value

Label

Frequency

Text

2.

Kerry

0

5.

Did not vote for president

0

998.

Don’t know

0

999.

Refused

0

4.

Other

0

3.

Nader

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted for Bush or Kerry (Nader Not on Ballot)

f2529479 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

998.

Don’t know

0

3.

Other

0

4.

Did not vote for president

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted for Both Parties in General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Both

0

999.

Refused

0

998.

Don’t know

0

3.

Democratic

0

2.

Republican

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

General Election Is First Time Voted

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

When Made Up Mind About General Election Vote

f2529479 Location:

Value

Label

Frequency

Text

4.

One week

0

998.

Don’t know

0

999.

Refused

0

6.

More than one month before

0

1.

Election Day

0

2.

One day before

0

3.

Weekend

0

5.

One month

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

When Made Up Mind About General Election Vote More Than Month Before

f2529479 Location:

Value

Label

Frequency

Text

3.

Before summer

0

998.

Don’t know

0

2.

Summer

0

999.

Refused

0

1.

Fall

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Ever Intended to Vote for Bush in General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, one week before

0

3.

Three months

0

4.

Six months

0

5.

One year

0

2.

One month

0

6.

More than one year before

0

998.

Don’t know

0

999.

Refused

0

7.

No

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Ever Intended to Vote for Kerry in General Election

f2529479 Location:

Value

Label

Frequency

Text

6.

More than one year before

0

1.

Yes, one week before

0

7.

No

0

998.

Don’t know

0

2.

One month

0

999.

Refused

0

5.

One year

0

4.

Six months

0

3.

Three months

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Supported Bush Because Against Kerry

f2529479 Location:

Value

Label

Frequency

Text

2.

Against Kerry

0

999.

Refused

0

998.

Don’t know

0

1.

For Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Supported Kerry Because Against Bush

f2529479 Location:

Value

Label

Frequency

Text

1.

For Kerry

0

2.

Against Bush

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Early Voted in General Election

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Voted early

0

999.

Refused

0

2.

Did not vote early

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Method of Early Voting in General Election

f2529479 Location:

Value

Label

Frequency

Text

8.

Other

0

998.

Don’t know

0

7.

Online

0

999.

Refused

0

1.

Polling station

0

5.

Someone else dropping off

0

2.

Mail

0

6.

Phone

0

4.

Personally dropping off

0

3.

Fax

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Date of Early Voting in General Election (Asked Pre-Election)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

5.

More than one week ago

0

4.

Four to seven days

0

3.

Two to three days ago

0

2.

Yesterday

0

1.

Today

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Date of Early Voting in General Election (Asked Post-Election)

f2529479 Location:

Value

Label

Frequency

Text

4.

Two or more weeks before

0

2.

Few days before

0

1.

Day before Election Day

0

998.

Don’t know

0

3.

One week

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Change Early Vote in General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

How Would Change Early Vote in General Election

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry

0

3.

Nader

0

998.

Don’t know

0

1.

Bush

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Method of Voting at Polling Station in General Election

f2529479 Location:

Value

Label

Frequency

Text

5.

Other

0

1.

Levers on machine

0

4.

Buttons or screen

0

3.

Lines on paper

0

2.

Holes in paper

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Cast Provisional Ballot in General Election

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Did Not Vote in General Election

f2529479 Location:

Value

Label

Frequency

Text

3.

Not interested / not following the election

0

4.

Vote is a waste of time

0

1.

Not registered

0

999.

Refused

0

5.

Other

0

2.

No time / too busy

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Why Did Not Vote in General Election, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Nader

0

1.

Bush

0

4.

Other

0

999.

Refused

0

2.

Kerry

0

5.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

4.

Would not vote

0

3.

Other

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted in 2000 General Election

f2529479 Location:

Value

Label

Frequency

Text

2.

Gore

824

1.

Yes, Bush

1042

6.

Did not vote

484

999.

Refused

59

3.

Buchanan

15

4.

Nader

56

998.

Don’t know

28

5.

Someone else

17

Variable Format: numeric

Notes: UNF:5:Nl21EnwwJNL6KHHQaqY+pg==

Vote Because of Civic Duty or for Candidate or Issue (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

4.

All three equally

123

1.

Civic duty

371

2.

Candidate or issue

276

998.

Don’t know

11

6.

Do not vote

45

999.

Refused

3

5.

Vote for other reason

19

3.

Make a difference

445

Variable Format: numeric

Notes: UNF:5:KbjGVI0O5d6OuCJb9y3FLA==

Voting Only Way to Have Say in Government

f2529479 Location:

Value

Label

Frequency

Text

1.

Strongly agree

517

998.

Don’t know

15

3.

Somewhat disagree

231

5.

Neither agree nor disagree

6

999.

Refused

3

4.

Strongly disagree

167

2.

Somewhat agree

354

Variable Format: numeric

Notes: UNF:5:2eesQrUK/VjvR/MJWbeTGQ==

Voting Best Way to Participate in Politics

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Strongly agree

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Important to Vote Even if Candidate Has No Chance

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

196

998.

Don’t know

11

3.

Somewhat disagree

46

4.

Strongly disagree

65

999.

Refused

3

1.

Strongly agree

966

5.

Neither agree nor disagree

6

Variable Format: numeric

Notes: UNF:5:t9pIQ6wZsnngQCc2rQFDNA==

Enjoy Voting

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

118

2.

Somewhat agree

410

999.

Refused

5

1.

Strongly agree

647

4.

Strongly disagree

83

998.

Don’t know

15

5.

Neither agree nor disagree

15

Variable Format: numeric

Notes: UNF:5:YCJt+Urw0qt7CrxGGKvKUA==

Vote Because of Civic Duty or for Candidate or Issue (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

4.

Vote for other reason

0

5.

Do not vote

0

1.

Civic duty

0

3.

Both equally

0

2.

Candidate or issue

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Feel Less American if Do Not Vote

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

1.

Strongly agree

0

999.

Refused

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Feel Guilty if Do Not Vote

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

Neither agree nor disagree

0

4.

Strongly disagree

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

998.

Don’t know

0

1.

Strongly agree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

People in Family Will Vote (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Some

0

5.

None

0

998.

Don’t know

0

4.

Few

0

2.

Most

0

1.

All

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

People in Family Will Vote (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Some

0

5.

None

0

4.

Few

0

1.

All

0

998.

Don’t know

0

2.

Most

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

People in Family Voted

f2529479 Location:

Value

Label

Frequency

Text

4.

Few

0

2.

Most

0

999.

Refused

0

998.

Don’t know

0

3.

Some

0

5.

None

0

1.

All

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Friends Will Vote (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

4.

Few

0

5.

None

0

1.

All

0

3.

Some

0

2.

Most

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Friends Will Vote (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

5.

None

0

4.

Few

0

3.

Some

0

998.

Don’t know

0

999.

Refused

0

1.

All

0

2.

Most

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Friends Voted

f2529479 Location:

Value

Label

Frequency

Text

2.

Most

0

998.

Don’t know

0

999.

Refused

0

5.

None

0

3.

Some

0

1.

All

0

4.

Few

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

People I Know Vote Always

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

1.

Strongly agree

0

2.

Somewhat agree

0

999.

Refused

0

3.

Somewhat disagree

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Family and Friends Disappointed if I Do Not Vote

f2529479 Location:

Value

Label

Frequency

Text

5.

Neither agree nor disagree

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

1.

Strongly agree

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat agree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Vote for Female President

f2529479 Location:

Value

Label

Frequency

Text

5.

Depends

0

3.

Somewhat unlikely

0

999.

Refused

0

998.

Don’t know

0

6.

Would not vote

0

1.

Very likely

0

2.

Somewhat likely

0

4.

Very unlikely

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Vote for Hillary Clinton or Bush

f2529479 Location:

Value

Label

Frequency

Text

3.

Other

0

4.

Would not vote

0

2.

Clinton

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Vote for Feinstein or Bush

f2529479 Location:

Value

Label

Frequency

Text

3.

Other

0

999.

Refused

0

4.

Would not vote

0

2.

Feinstein

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Vote for Elizabeth Dole or Kerry

f2529479 Location:

Value

Label

Frequency

Text

4.

Would not vote

0

3.

Other

0

998.

Don’t know

0

1.

Kerry

0

999.

Refused

0

2.

Dole

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Would Vote for Rice or Kerry

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Would not vote

0

3.

Other

0

2.

Rice

0

998.

Don’t know

0

1.

Kerry

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Prefer Voting at Polling Station, by Mail, or Online

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Internet

0

3.

Mail

0

1.

Polling place

0

4.

Do not vote

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Favor Online Voting

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

999.

Refused

0

998.

Don’t know

0

1.

Strongly favor

0

4.

Strongly oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

More Likely to Vote if Online

f2529479 Location:

Value

Label

Frequency

Text

3.

No effect

0

998.

Don’t know

0

2.

Less likely

0

999.

Refused

0

1.

More likely

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Support Ending Electoral College (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Somewhat oppose

0

2.

Somewhat support

0

4.

Strongly oppose

0

1.

Strongly support

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Support Ending Electoral College (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

998.

Don’t know

0

1.

Strongly support

0

2.

Somewhat support

0

999.

Refused

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Clark in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Dean in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Edwards in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:kFRyr+TYhN+eyOOj5Dgblg==

Random Response Order for Gephardt in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Kerry in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:tAtXwrieutqyPuE8QFZKwA==

Random Response Order for Kucinich in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:TQoLD4/eaKOuq0ro/YLw7Q==

Random Response Order for Lieberman in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Moseley Braun in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Response Order for Sharpton in cRB06, cRB13

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:FX8U0KZMFX55sbRs7zMbfA==

Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:YOfTGi1Eiwbjm9wlXP5juA==

Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:8aH46HsjSU5hqq+eNxrfqA==

Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:GjChyJ4HzOogIAD7k4nVoQ==

Random Question Order for cRC04

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cRC05

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cRC06

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Random Question Order for cRC07

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:BaQydTDip6/LYV3JJ6BcoA==

Bush Will Be Good President Even Though Voted for Kerry

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

1.

Strongly agree

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Election Shows Every Vote Makes a Difference

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

999.

Refused

0

1.

Strongly agree

0

4.

Strongly disagree

0

998.

Don’t know

0

5.

Neither agree nor disagree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Election Shows Democracy Not Working

f2529479 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

2.

Somewhat agree

0

999.

Refused

0

3.

Somewhat disagree

0

1.

Strongly agree

0

998.

Don’t know

0

5.

Neither agree nor disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Permanent Harm Done by Election Process

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Strongly agree

0

4.

Strongly disagree

0

2.

Somewhat agree

0

999.

Refused

0

5.

Neither agree nor disagree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Confident Vote Counted Accurately

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat confident

0

3.

Somewhat doubtful

0

1.

Very confident

0

4.

Very doubtful

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Confident Vote Will Be Counted Accurately

f2529479 Location:

Value

Label

Frequency

Text

3.

Somewhat doubtful

0

4.

Very doubtful

0

1.

Very confident

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat confident

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Casting Ballot Was Confusing

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Somewhat

0

3.

Very

0

1.

Not at all

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Certain Vote Cast Accurately

f2529479 Location:

Value

Label

Frequency

Text

1.

Absolutely certain

0

3.

Somewhat uncertain

0

4.

Not certain at all

0

2.

Somewhat certain

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Gore Cheated Out of Presidency

f2529479 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

151

998.

Don’t know

85

999.

Refused

14

4.

Strongly disagree

517

1.

Strongly agree

338

3.

Somewhat disagree

188

Variable Format: numeric

Notes: UNF:5:yS1UFELVUmqMoJ8QefRS0Q==

Congressional District

f2529479 Location:

Value

Label

Frequency

Text

9999.

Unavailable

0

Variable Format: numeric

Notes: UNF:5:WAmMfHeVuxD6QhHbyKSsLg==

Know Names of Incumbent Senators

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Gave name or names

620

998.

Don’t know

485

Variable Format: numeric

Notes: UNF:5:sBJIiu0LszHZB3dqPEms8g==

Know Names of Incumbent Senators, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:juLImdcKPu3B6GtygU+BfQ==

Don’t-Know Prompt for cUA02

f2529479 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

620

1.

Respondent said don’t know and was prompted, “Just your best

485

Variable Format: numeric

Notes: UNF:5:qvW7uhbfiu+8xzRwiQG4vw==

Favorability of Senator Running for Re-Election

f2529479 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

78

999.

Refused

2

11.

Do not recognize name

94

Variable Format: numeric

Notes: UNF:5:5O8lrtBQy6wNF5XM0IPsGQ==

House Candidate Voted for in General Election

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Other/did not vote for Congress

0

1.

Republican

0

2.

Democrat

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Senate Candidate Voted for in General Election

f2529479 Location:

Value

Label

Frequency

Text

2.

AL: Wayne Sowell

0

43.

NH: Doris Haddock

0

31.

LA: John Kennedy

0

56.

SC: Jim DeMint

0

11.

CT: Jack Orchulli

0

67.

WI: Russ Feingold

0

3.

AR: Jim Holt

0

998.

Don’t know

0

49.

OH: Eric Fingerhut

0

64.

WA: George Nethercutt

0

63.

VT: Patrick Leahy

0

32.

LA: Sam Melton

0

26.

KS: Lee Jones

0

48.

OH: George Voinovich

0

51.

OK: Brad Carson

0

29.

LA: David Vitter

0

16.

GA: Denise Majette

0

70.

Other

0

55.

PA: Joseph Hoeffel

0

6.

AZ: Stuart Starky

0

66.

WI: Tim Michels

0

23.

IN: Marvin Scott

0

12.

CT: Christopher Dodd

0

61.

UT: Paul Van Dam

0

39.

NC: Erskine Bowles

0

21.

IL: Alan Keyes

0

34.

MD: E.J. Pipkin

0

60.

UT: Robert Bennett

0

59.

SD: Thomas Daschle

0

71.

Did not vote for senator

0

20.

ID: Scott McClure

0

14.

FL: Betty Castor

0

37.

MO: Nancy Farmer

0

17.

IA: Charles Grassley

0

46.

NY: Howard Mills

0

36.

MO: Kit Bond

0

53.

OR: Ron Wyden

0

30.

LA: Chris John

0

52.

OR: Al King

0

69.

Generic Democrat

0

44.

NV: Richard Ziser

0

24.

IN: Evan Bayh

0

28.

KY: Daniel Mongiardo

0

50.

OK: Tom Coburn

0

40.

ND: Mike Liffrig

0

19.

ID: Mike Crapo

0

18.

IA: Arthur Small

0

33.

LA: Arthur Morrell

0

4.

AR: Blanche Lincoln

0

45.

NV: Harry Reid

0

7.

CA: Bill Jones

0

1.

AL: Richard Shelby

0

35.

MD: Barbara Mikulski

0

15.

GA: Johnny Isakson

0

13.

FL: Mel Martinez

0

38.

NC: Richard Burr

0

58.

SD: John Thune

0

62.

VT: Jack McMullen

0

47.

NY: Charles Schumer

0

999.

Refused

0

68.

Generic Republican

0

8.

CA: Barbara Boxer

0

54.

PA: Arlen Specter

0

10.

CO: Ken Salazar

0

41.

ND: Byron Dorgan

0

9.

CO: Peter Coors

0

42.

NH: Judd Gregg

0

5.

AZ: John McCain

0

57.

SC: Inez Tenenbaum

0

25.

KS: Sam Brownback

0

22.

IL: Barack Obama

0

27.

KY: Jim Bunning

0

65.

WA: Patty Murray

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Voted in 2002 Election (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

2.

No

901

999.

Refused

6

1.

Yes

1556

998.

Don’t know

62

Variable Format: numeric

Notes: UNF:5:sx7TT20rHHqrQM9Sjkfdtw==

Voted in 2002 Election (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Did not vote

0

3.

Usually vote but did not

0

4.

Voted

0

2.

Thought about voting but did not

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

House Candidate Voted for in 2002

f2529479 Location:

Value

Label

Frequency

Text

1.

Republican

229

3.

Other

6

999.

Refused

6

998.

Don’t know

45

2.

Democrat

236

4.

Did not vote for Congress

1

Variable Format: numeric

Notes: UNF:5:S+YjQkM2Z9zhCDP9eOw5uQ==

Sex

f2529479 Location:

Value

Label

Frequency

Text

2.

Female

1409

1.

Male

1116

Variable Format: numeric

Notes: UNF:5:TM6W7atZ8HcNcyZwJ9bggw==

Age

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

29

Variable Format: numeric

Notes: UNF:5:XvLJgTm37apLqKKWAuUZ6A==

Education

f2529479 Location:

Value

Label

Frequency

Text

8.

Graduate or professional school, no degree

79

999.

Refused

33

998.

Don’t know

3

7.

Four-year college degree

497

5.

Some college, no degree

466

6.

Associate’s or two-year college degree

189

4.

Technical or vocational school after high school

70

3.

High school diploma or equivalent

641

9.

Graduate or professional degree

349

2.

Some high school, no diploma

152

1.

Grade 8 or lower

46

Variable Format: numeric

Notes: UNF:5:/5+Umt6/6NncHIf4PaqjQA==

Household Income

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

204

8.

$100,000–$150,000

231

9.

More than $150,000

144

7.

$75,000–$100,000

289

2.

$10,000–$15,000

115

5.

$35,000–$50,000

419

3.

$15,000–$25,000

213

998.

Don’t know

71

4.

$25,000–$35,000

263

6.

$50,000–$75,000

440

1.

Less than $10,000

136

Variable Format: numeric

Notes: UNF:5:96oY8s766/w5YGslXBIlNw==

Employment Status

f2529479 Location:

Value

Label

Frequency

Text

7.

Student

49

3.

Temporarily laid off or unemployed

77

2.

Part time

279

6.

Homemaker

135

999.

Refused

18

1.

Working full time

1383

998.

Don’t know

0

5.

Permanently disabled

78

4.

Retired

486

8.

Other

20

Variable Format: numeric

Notes: UNF:5:C1amlZ2knB9E6KSBrCdGJw==

Line of Work (Employed)

f2529479 Location:

Value

Label

Frequency

Text

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

172

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

108

999.

Refused

12

10.

Other

102

7.

Semi-skilled worker (e.g., machine operator, assembly line w

85

4.

Service worker (e.g., police officer, fire fighter, waiter o

169

3.

Clerical or office worker (e.g., typist, secretary, postal c

195

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

546

9.

Business owner

68

998.

Don’t know

0

8.

Salesperson

82

6.

Manager (e.g., store manager, sales manager, office manager)

123

Variable Format: numeric

Notes: UNF:5:/4KFoCHm1mb5QqksKqQWjA==

Line of Work (Employed), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:+WaUh9Cfdw7UB1sCrgYlQg==

Line of Work (Not Currently Employed)

f2529479 Location:

Value

Label

Frequency

Text

9.

Business owner

0

999.

Refused

0

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

0

998.

Don’t know

0

10.

Other

0

7.

Semi-skilled worker (e.g., machine operator, assembly line w

0

8.

Salesperson

0

6.

Manager (e.g., store manager, sales manager, office manager)

0

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

0

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

0

3.

Clerical or office worker (e.g., typist, secretary, postal c

0

4.

Service worker (e.g., police officer, fire fighter, waiter o

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Line of Work (Not Currently Employed), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Self-Employed

f2529479 Location:

Value

Label

Frequency

Text

1.

Not self-employed

1374

999.

Refused

6

998.

Don’t know

1

2.

Self-employed

281

Variable Format: numeric

Notes: UNF:5:Ypqflh2qhBFFYugZq+6gxg==

Employed by Government

f2529479 Location:

Value

Label

Frequency

Text

1.

Government or military employee

332

2.

Not government employee

1029

999.

Refused

10

998.

Don’t know

10

Variable Format: numeric

Notes: UNF:5:M1zZyIU/9ooMllTXnje6zg==

Anyone in Household Belongs to Labor Union

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

20

2.

Other household member

148

3.

Both respondent and other household member

31

998.

Don’t know

12

1.

Yes, respondent

213

4.

No one is union member

2101

Variable Format: numeric

Notes: UNF:5:FE661cXD0XV61WAo1cuYEg==

Any Other Adults in Household Unemployed

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

223

998.

Don’t know

0

2.

No

2209

999.

Refused

16

Variable Format: numeric

Notes: UNF:5:Z9eBiMWaYe2jyUDVg+siJg==

Know of Anyone Who Lost Job in Past Six Months (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

40

2.

Other person

330

998.

Don’t know

4

3.

Respondent and other person

15

4.

No one lost job

471

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:yY6yylif8lNTq30DtuRV7A==

Know of Anyone Who Lost Job in Past Six Months (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

3.

Respondent and other person

0

2.

Other person

0

998.

Don’t know

0

1.

Yes, respondent

0

999.

Refused

0

4.

No one lost job

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know of Anyone Who Regained Job in Past Six Months

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Employed by Business That Exports

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Employed by Business That Imports

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Employed by Business That Supplies Imports or Exports

f2529479 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Employed by Business That Outsources

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Hispanic

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

26

1.

Yes

187

998.

Don’t know

1

2.

No

2311

Variable Format: numeric

Notes: UNF:5:9DwG6FBV0JEhpJ2PijJGfA==

Line of Hispanic Origin

f2529479 Location:

Value

Label

Frequency

Text

2.

Cuban

11

999.

Refused

1

998.

Don’t know

2

4.

Something else

54

3.

Puerto Rican

15

1.

Mexican

104

Variable Format: numeric

Notes: UNF:5:VOPzrq6Cnw7o3NRMa3nCiw==

Line of Hispanic Origin, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:rPTrxueiVPRQYvsBabyW5w==

Race

f2529479 Location:

Value

Label

Frequency

Text

2.

Black

204

999.

Refused

46

4.

American Indian

30

3.

Asian

37

998.

Don’t know

8

1.

White

2118

5.

Other

82

Variable Format: numeric

Notes: UNF:5:QjMDnYrFmikrD8u8cIF2qg==

Race, Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:NiWSb4RMlRlHTC9oQSWbPw==

Born in U.S.

f2529479 Location:

Value

Label

Frequency

Text

2.

No

214

1.

Yes

2287

999.

Refused

24

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:YeukO0GZphXsTmzDLYG/ng==

U.S. Citizen

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

118

2.

No

96

Variable Format: numeric

Notes: UNF:5:6QrxQldhn4B+/J/48RbXXw==

Years Lived in U.S.

f2529479 Location:

Value

Label

Frequency

Text

0.

Less than six months

5

999.

Refused

1

1.

Six months to one year

6

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:z8K2cE/wKRNtVTypRZ2NuQ==

Years at Present Address

f2529479 Location:

Value

Label

Frequency

Text

0.

Less than six months

161

998.

Don’t know

4

1.

Six months to one year

240

999.

Refused

26

Variable Format: numeric

Notes: UNF:5:EqIa8oEAHsRysU7WUaYOTw==

Attend Religious Services

f2529479 Location:

Value

Label

Frequency

Text

3.

Once or twice a month

336

998.

Don’t know

11

4.

Few times a year

618

1.

More than once a week

360

5.

Never

445

2.

Once a week

726

999.

Refused

29

Variable Format: numeric

Notes: UNF:5:tPqNoXQV2O6JyQXmd2mutw==

Religion (Attend Religious Services)

f2529479 Location:

Value

Label

Frequency

Text

2.

Catholic

572

999.

Refused

17

3.

Jewish

34

7.

Other

97

6.

Muslim

3

1.

Protestant (including Baptist, Christian, Episcopal, Jehovah

1262

4.

Mormon

32

998.

Don’t know

12

5.

Orthodox (including Greek, Russian, and Eastern)

11

Variable Format: numeric

Notes: UNF:5:fjxwKIVyJmoz3liT7yxtSw==

Religion (Attend Religious Services), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:6BpW7VyGebzwEDfDv+8CwQ==

Religion (Do Not Attend Religious Services)

f2529479 Location:

Value

Label

Frequency

Text

3.

Jewish

9

7.

Other

19

8.

No denomination

175

998.

Don’t know

2

9.

Atheist or agnostic

61

999.

Refused

17

4.

Mormon

3

6.

Muslim

1

2.

Catholic

67

1.

Yes, Protestant (including Baptist, Christian, Episcopal, Je

129

5.

Orthodox (including Greek, Russian, and Eastern)

2

Variable Format: numeric

Notes: UNF:5:Uzo1DSjwRfvl7NJ6UCFfPg==

Religion (Do Not Attend Religious Services), Verbatim

f2529479 Location:

Variable Format: character

Notes: UNF:5:Hmm2ZCRjk5NqXBzpYjfN4A==

Born-Again Christian

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes

909

999.

Refused

40

2.

No

1235

998.

Don’t know

58

Variable Format: numeric

Notes: UNF:5:wQsU82bGsAiPR2XUxnPYHQ==

Anyone in Household Ever Served in Military

f2529479 Location:

Value

Label

Frequency

Text

3.

Both respondent and other household member

27

998.

Don’t know

1

2.

Other household member

349

999.

Refused

33

4.

No one served in military

1774

1.

Yes, respondent

341

Variable Format: numeric

Notes: UNF:5:eB675qIsy83UyZm+QsocaQ==

Branch of Military Respondent Ever Served In, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

Reserves

29

998.

Don’t know

0

999.

Refused

0

3.

National Guard

25

1.

Regular

314

Variable Format: numeric

Notes: UNF:5:v2U8o983fFYt0UPR2Cgl7w==

Branch of Military Respondent Ever Served In, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

Reserves

19

1.

Regular

2

998.

Don’t know

0

999.

Refused

0

3.

National Guard

8

Variable Format: numeric

Notes: UNF:5:QtB6XLGIzz0q5Dv7ZVBgWQ==

Branch of Military Respondent Ever Served In, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

Reserves

0

998.

Don’t know

0

3.

National Guard

2

999.

Refused

0

1.

Regular

0

Variable Format: numeric

Notes: UNF:5:MlSfnDQropkyZIExJkDZqA==

Branch of Military Other Household Member Ever Served In, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

3.

National Guard

27

2.

Reserves

16

1.

Regular

320

998.

Don’t know

10

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:XHsgeIvnI3WP6Qyv7LeYHA==

Branch of Military Other Household Member Ever Served In, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

3.

National Guard

3

998.

Don’t know

0

999.

Refused

0

2.

Reserves

6

1.

Regular

4

Variable Format: numeric

Notes: UNF:5:BpZYyiOg5YNAsZZrtOmgaA==

Branch of Military Other Household Member Ever Served In, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Reserves

0

1.

Regular

0

3.

National Guard

1

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ML/7527d3Og+wbfDo3598Q==

Anyone in Household Currently in Military

f2529479 Location:

Value

Label

Frequency

Text

2.

Other household member

36

3.

Both respondent and other household member

0

1.

Yes, respondent

28

4.

No one still serving

652

998.

Don’t know

0

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:s09PaTMz0hCSlNasDw+qwg==

Branch of Military Respondent Currently Serving In, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

1.

Regular

0

3.

National Guard

0

998.

Don’t know

0

2.

Reserves

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Branch of Military Respondent Currently Serving In, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Regular

0

2.

Reserves

0

3.

National Guard

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Branch of Military Respondent Currently Serving In, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

2.

Reserves

0

1.

Regular

0

999.

Refused

0

998.

Don’t know

0

3.

National Guard

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Branch of Military Other Household Member Currently Serving In, 1 of 3

f2529479 Location:

Value

Label

Frequency

Text

1.

Regular

0

3.

National Guard

0

999.

Refused

0

2.

Reserves

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Branch of Military Other Household Member Currently Serving In, 2 of 3

f2529479 Location:

Value

Label

Frequency

Text

1.

Regular

0

998.

Don’t know

0

999.

Refused

0

2.

Reserves

0

3.

National Guard

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Branch of Military Other Household Member Currently Serving In, 3 of 3

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Reserves

0

1.

Regular

0

3.

National Guard

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Anyone in Household Served in Military Overseas in Past Four Years

f2529479 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

19

4.

No one served overseas in past four years

648

2.

Other household member

46

999.

Refused

1

3.

Both respondent and other household member

2

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:lQjdpHOlWGmwLHn2qLUwJg==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529479 Location:

Value

Label

Frequency

Text

2.

Bosnia

3

4.

Kosovo

0

3.

Iraq

6

998.

Don’t know

2

5.

Other

49

1.

Afghanistan

6

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:08k+XPCbxmrFwZFSLViO5Q==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529479 Location:

Value

Label

Frequency

Text

1.

Afghanistan

1

999.

Refused

0

4.

Kosovo

0

3.

Iraq

2

5.

Other

1

2.

Bosnia

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:/MTzTSIKAu4fYSJ+myN+1A==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529479 Location:

Value

Label

Frequency

Text

2.

Bosnia

0

4.

Kosovo

0

999.

Refused

0

998.

Don’t know

0

5.

Other

0

1.

Afghanistan

0

3.

Iraq

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529479 Location:

Value

Label

Frequency

Text

1.

Afghanistan

0

3.

Iraq

0

2.

Bosnia

0

5.

Other

0

999.

Refused

0

998.

Don’t know

0

4.

Kosovo

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529479 Location:

Value

Label

Frequency

Text

5.

Other

0

2.

Bosnia

0

3.

Iraq

0

999.

Refused

0

1.

Afghanistan

0

4.

Kosovo

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Total Adults in Household

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:i7t6EfJpf9+EAZGNTJVAbQ==

Adults Age 18–22 in Household

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Total Children in Household

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

23

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:PYMls4arm34ububqkzp7SA==

Children Age 14–17 in Household

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Children Age 6–13 in Household

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Children Under Age 5 in Household

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Marital Status

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

30

4.

Divorced

304

5.

Separated

48

2.

Living as married

74

3.

Widowed

225

1.

Married

1399

6.

Never married

444

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:rH0JTTHbnyU6oOMlAHrjTg==

Census Division

f2529479 Location:

Value

Label

Frequency

Text

7.

West South Central (AR, LA, OK, TX)

265

9.

Pacific (CA, OR, WA)

366

2.

Middle Atlantic (NJ, NY, PA)

343

4.

West North Central (IA, KS, MN, MO, ND, NE, SD)

201

5.

South Atlantic (DC, DE, FL, GA, MD, NC, SC, VA, WV)

478

8.

Mountain (AZ, CO, ID, MT, NM, NV, UT, WY)

157

3.

East North Central (IL, IN, MI, OH, WI)

421

1.

New England (CT, MA, ME, NH, RI, VT)

124

6.

East South Central (AL, KY, MS, TN)

170

Variable Format: numeric

Notes: UNF:5:I67HWOBNJ0AT07ltKhV07w==

Metropolitan Statistical Area

f2529479 Location:

Value

Label

Frequency

Text

12620.

Bangor (ME)

0

40060.

Richmond (VA)

17

49180.

Winston–Salem (NC)

6

16580.

Champaign–Urbana (IL)

3

16700.

Charleston–North Charleston (SC)

7

41780.

Sandusky (OH)

3

41140.

St. Joseph (KS, MO)

1

45460.

Terre Haute (IN)

0

19740.

Denver–Aurora (CO)

13

41420.

Salem (OR)

4

16980.

Chicago–Naperville–Joilet (IL, IN, WI)

49

41540.

Salisbury (MD)

0

32900.

Merced (CA)

1

38540.

Pocatello (ID)

0

39660.

Rapid City (SD)

0

42100.

Santa Cruz–Watsonville (CA)

1

37700.

Pascagoula (MS)

0

24220.

Grand Forks (MN, ND)

0

23020.

Fort Walton Beach–Crestview–Destin (FL)

1

11500.

Anniston–Oxford (AL)

0

25540.

Hartford–West Hartford–East Hartford (CT)

8

22220.

Fayetteville (AR, MO)

4

11340.

Anderson (SC)

2

14740.

Bremerton–Silverdale (WA)

2

49620.

York–Hanover (PA)

6

26380.

Houma–Bayou Cane–Thibodaux (LA)

1

37860.

Pensacola–Ferry Pass–Brent (FL)

5

44300.

State College (PA)

1

33740.

Monroe (LA)

0

41060.

St. Cloud (MN)

2

42260.

Sarasota–Bradenton–Venice (FL)

7

11700.

Asheville (NC)

8

18020.

Columbus (IN)

2

19180.

Danville (IL)

1

29100.

La Crosse (MN, WI)

4

33100.

Miami–Fort Lauderdale–Miami Beach (FL)

30

14860.

Bridgeport–Stamford–Norwalk (CT)

12

42060.

Santa Barbara–Santa Maria–Goleta (CA)

3

29020.

Kokomo (IN)

2

41700.

San Antonio (TX)

11

31340.

Lynchburg (VA)

1

33260.

Midland (TX)

2

27260.

Jacksonville (FL)

10

10180.

Abilene (TX)

2

22180.

Fayetteville (NC)

3

31180.

Lubbock (TX)

3

25860.

Hickory–Morganton–Lenoir (NC)

4

12060.

Atlanta–Sandy Springs–Marietta (GA)

39

32820.

Memphis (AR, MS, TN)

7

24340.

Grand Rapids–Wyoming (MI)

6

40580.

Rocky Mount (NC)

2

36540.

Omaha–Council Bluffs (IA, NE)

8

23580.

Gainesville (GA)

1

42340.

Savannah (GA)

1

28140.

Kansas City (KS, MO)

11

19780.

Des Moines (IA)

6

17900.

Columbia (SC)

8

42660.

Seattle–Tacoma–Bellevue (WA)

30

43100.

Sheboygan (WI)

0

44940.

Sumter (SC)

0

39740.

Reading (PA)

2

13380.

Bellingham (WA)

3

41740.

San Diego–Carlsbad–San Marcos (CA)

25

13780.

Binghamton (NY)

2

40900.

Sacramento–Arden-Arcade–Roseville (CA)

23

49340.

Worcester (MA)

5

41100.

St. George (UT)

2

29740.

Las Cruces (NM)

2

24660.

Greensboro–High Point (NC)

11

47380.

Waco (TX)

6

39460.

Punta Gorda (FL)

2

13460.

Bend (OR)

1

24780.

Greenville (NC)

1

13980.

Blacksburg–Christiansburg–Radford (VA)

3

30980.

Longview (TX)

0

26620.

Huntsville (AL)

7

27500.

Janesville (WI)

2

36780.

Oshkosh–Neenah (WI)

3

20740.

Eau Claire (WI)

1

40140.

Riverside–San Bernardino–Ontario (CA)

34

17300.

Clarksville (KY, TN)

1

27340.

Jacksonville (NC)

2

37100.

Oxnard–Thousand Oaks–Ventura (CA)

6

35380.

New Orleans–Metairie–Kenner (LA)

8

24540.

Greeley (CO)

0

24300.

Grand Junction (CO)

0

31460.

Madera (CA)

0

16180.

Carson City (NV)

1

41620.

Salt Lake City (UT)

10

40980.

Saginaw–Saginaw Township North (MI)

2

33140.

Michigan City–La Porte (IN)

0

36100.

Ocala (FL)

3

48260.

Weirton–Steubenville (OH, WV)

1

45780.

Toledo (OH)

4

44140.

Springfield (MA)

10

41940.

San Jose–Sunnyvale–Santa Clara (CA)

14

34820.

Myrtle Beach–Conway–North Myrtle Beach (SC)

2

31540.

Madison (WI)

7

48140.

Wausau (WI)

1

46060.

Tucson (AZ)

8

31900.

Mansfield (OH)

1

18580.

Corpus Christi (TX)

2

11540.

Appleton (WI)

3

12420.

Austin–Round Rock (TX)

15

43300.

Sherman–Denison (TX)

1

99999.

None or unavailable

518

14460.

Boston–Cambridge–Quincy (MA, NH)

35

19140.

Dalton (GA)

1

31700.

Manchester–Nashua (NH)

4

42020.

San Luis Obispo–Paso Robles (CA)

1

47260.

Virginia Beach–Norfolk–Newport News (NC, VA)

11

44700.

Stockton (CA)

5

22540.

Fond Du Lac (WI)

3

27620.

Jefferson City (MO)

1

46540.

Utica–Rome (NY)

2

16820.

Charlottesville (VA)

2

25060.

Gulfport–Biloxi (MS)

5

30780.

Little Rock–North Little Rock (AR)

8

17140.

Cincinnati–Middletown (IN, KY, OH)

23

14500.

Boulder (CO)

5

40380.

Rochester (NY)

11

43580.

Sioux City (IA, NE, SD)

2

17420.

Cleveland (TN)

0

28420.

Kennewick–Richland–Pasco (WA)

4

29460.

Lakeland–Winter Haven (FL)

5

18700.

Corvallis (OR)

0

38900.

Portland–Vancouver–Beaverton (OR, WA)

21

29180.

Lafayette (LA)

5

14060.

Bloomington–Normal (IL)

2

30140.

Lebanon (PA)

1

12020.

Athens–Clarke County (GA)

2

30700.

Lincoln (NE)

1

11180.

Ames (IA)

2

10900.

Allentown–Bethlehem–Easton (NJ, PA)

13

30020.

Lawton (OK)

2

31140.

Louisville (IN, KY)

13

36740.

Orlando (FL)

9

22660.

Fort Collins–Loveland (CO)

0

46340.

Tyler (TX)

1

28100.

Kankakee–Bradley (IL)

1

44220.

Springfield (OH)

1

49700.

Yuba City–Marysville (CA)

1

38940.

Port St. Lucie–Fort Pierce (FL)

3

38220.

Pine Bluff (AR)

0

24860.

Greenville (SC)

6

45300.

Tampa–St. Petersburg–Clearwater (FL)

16

33540.

Missoula (MT)

0

30460.

Lexington–Fayette (KY)

7

15260.

Brunswick (GA)

1

43780.

South Bend–Mishawaka (IN, MI)

2

20100.

Dover (DE)

1

28740.

Kingston (NY)

2

25260.

Hanford–Corcoran (CA)

2

48700.

Williamsport (PA)

1

10500.

Albany (GA)

0

13740.

Billings (MT)

2

16740.

Charlotte–Gastonia–Concord (NC, SC)

13

25620.

Hattiesburg (MS)

1

11460.

Ann Arbor (MI)

7

47900.

Washington–Arlington–Alexandria (DC, MD, VA, WV)

36

19380.

Dayton (OH)

12

30620.

Lima (OH)

2

11100.

Amarillo (TX)

1

22900.

Fort Smith (AR, OK)

3

31100.

Los Angeles–Long Beach–Santa Ana (CA)

76

30300.

Lewiston (ID, WA)

1

36220.

Odessa (TX)

0

40340.

Rochester (MN)

2

37980.

Philadelphia–Camden–Wilmington (DE, MD, NJ, PA)

50

22500.

Florence (SC)

0

19340.

Davenport–Moline–Rock Island (IA, IL)

3

44060.

Spokane (WA)

3

20940.

El Centro (CA)

2

31420.

Macon (GA)

3

46140.

Tulsa (OK)

6

37340.

Palm Bay–Melbourne–Titusville (FL)

5

30860.

Logan (ID, UT)

1

20020.

Dothan (AL)

4

19660.

Deltona–Daytona Beach–Ormond Beach (FL)

5

16620.

Charleston (WV)

1

44180.

Springfield (MO)

3

12580.

Baltimore–Towson (MD)

23

39340.

Provo–Orem (UT)

3

17780.

College Station–Bryan (TX)

5

27180.

Jackson (TN)

2

12540.

Bakersfield (CA)

2

40660.

Rome (GA)

1

32780.

Medford (OR)

3

15980.

Cape Coral–Fort Myers (FL)

6

48300.

Wenatchee (WA)

1

29620.

Lansing–East Lansing (MI)

2

33860.

Montgomery (AL)

3

21340.

El Paso (TX)

7

29340.

Lake Charles (LA)

2

45220.

Tallahassee (FL)

2

41860.

San Francisco–Oakland–Fremont (CA)

30

10420.

Akron (OH)

6

20500.

Durham (NC)

2

38300.

Pittsburgh (PA)

39

42220.

Santa Rosa–Petaluma (CA)

3

34740.

Muskegon–Norton Shores (MI)

1

22380.

Flagstaff (AZ)

0

34940.

Naples–Marco Island (FL)

2

12260.

Augusta–Richmond County (GA, SC)

5

28700.

Kingsport–Bristol (TN, VA)

1

15540.

Burlington–South Burlington (VT)

1

38340.

Pittsfield (MA)

1

45060.

Syracuse (NY)

9

13140.

Beaumont–Port Arthur (TX)

0

38060.

Phoenix–Mesa–Scottsdale (AZ)

26

27740.

Johnson City (TN)

3

41500.

Salinas (CA)

4

11300.

Anderson (IN)

1

49660.

Youngstown–Warren–Boardman (OH, PA)

8

48620.

Wichita (KS)

6

49020.

Winchester (VA, WV)

1

19820.

Detroit–Warren–Livonia (MI)

25

16940.

Cheyenne (WY)

3

27780.

Johnstown (PA)

1

22020.

Fargo (MN, ND)

3

23460.

Gadsden (AL)

1

27100.

Jackson (MI)

1

21660.

Eugene–Springfield (OR)

2

29700.

Laredo (TX)

1

29140.

Lafayette (IN)

5

19460.

Decatur (AL)

4

29940.

Lawrence (KS)

1

35620.

New York–Newark–Edison (NJ, NY, PA)

105

15380.

Buffalo–Cheektowaga–Tonawanda (NY)

14

23540.

Gainesville (FL)

1

34620.

Muncie (IN)

3

22140.

Farmington (NM)

0

43620.

Sioux Falls (SD)

2

14540.

Bowling Green (KY)

0

46700.

Vallejo–Fairfield (CA)

2

41180.

St. Louis (IL, MO)

28

26300.

Hot Springs (AR)

1

25980.

Hinesville–Fort Stewart (GA)

0

17460.

Cleveland–Elyria–Mentor (OH)

15

39100.

Poughkeepsie–Newburgh–Middletown (NY)

6

45500.

Texarkana (AR, TX)

1

43340.

Shreveport–Bossier City (LA)

5

18140.

Columbus (OH)

14

10580.

Albany–Schenectady–Troy (NY)

9

17980.

Columbus (AL, GA)

2

17820.

Colorado Springs (CO)

5

37620.

Parkersburg–Marietta (OH, WV)

1

36500.

Olympia (WA)

0

25500.

Harrisonburg (VA)

2

34060.

Morgantown (WV)

0

36420.

Oklahoma City (OK)

5

20260.

Duluth (MN, WI)

3

21300.

Elmira (NY)

2

34980.

Nashville–Davidson–Murfreesboro (TN)

9

19500.

Decatur (IL)

1

16860.

Chattanooga (GA, TN)

11

21780.

Evansville (IN, KY)

3

45820.

Topeka (KS)

3

46660.

Valdosta (GA)

3

13900.

Bismarck (ND)

1

34580.

Mount Vernon–Anacortes (WA)

1

35300.

New Haven–Milford (CT)

5

39820.

Redding (CA)

0

12700.

Barnstable Town (MA)

3

35980.

Norwich–New London (CT)

3

16220.

Casper (WY)

0

10740.

Albuquerque (NM)

3

29820.

Las Vegas–Paradise (NV)

17

22420.

Flint (MI)

2

21060.

Elizabethtown (KY)

0

25180.

Hagerstown–Martinsburg (MD, WV)

2

14980.

Bristol (VA)

1

27900.

Joplin (MO)

1

31020.

Longview–Kelso (WA)

1

47940.

Waterloo–Cedar Falls (IA)

2

27140.

Jackson (MS)

5

24580.

Green Bay (WI)

7

34100.

Morristown (TN)

1

36260.

Ogden–Clearfield (UT)

5

15940.

Canton–Massillon (OH)

3

33660.

Mobile (AL)

3

40420.

Rockford (IL)

2

19100.

Dallas–Fort Worth–Arlington (TX)

47

22520.

Florence–Muscle Shoals (AL)

0

13820.

Birmingham–Hoover (AL)

15

12940.

Baton Rouge (LA)

7

32580.

McAllen–Edinburg–Pharr (TX)

3

26100.

Holland–Grand Haven (MI)

0

24500.

Great Falls (MT)

0

48660.

Wichita Falls (TX)

3

36980.

Owensboro (KY)

1

17020.

Chico (CA)

1

10780.

Alexandria (LA)

1

23060.

Fort Wayne (IN)

12

37460.

Panama City–Lynn Haven (FL)

2

43900.

Spartanburg (SC)

0

45940.

Trenton–Ewing (NJ)

3

39580.

Raleigh–Cary (NC)

6

12220.

Auburn–Opelika (AL)

0

48540.

Wheeling (OH, WV)

2

44100.

Springfield (IL)

0

29540.

Lancaster (PA)

5

41660.

San Angelo (TX)

2

47020.

Victoria (TX)

1

26980.

Iowa City (IA)

1

48900.

Wilmington (NC)

3

24020.

Glens Falls (NY)

1

21500.

Erie (PA)

3

12980.

Battle Creek (MI)

2

26820.

Idaho Falls (ID)

0

33780.

Monroe (MI)

1

46220.

Tuscaloosa (AL)

1

47580.

Warner Robins (GA)

0

42140.

Santa Fe (NM)

0

16300.

Cedar Rapids (IA)

2

21140.

Elkhart–Goshen (IN)

0

26420.

Houston–Baytown–Sugar Land (TX)

30

46940.

Vero Beach (FL)

0

28660.

Killeen–Temple–Fort Hood (TX)

3

14020.

Bloomington (IN)

3

33460.

Minneapolis–St. Paul–Bloomington (MN, WI)

33

49740.

Yuma (AZ)

1

17860.

Columbia (MO)

2

23420.

Fresno (CA)

9

22460.

Florence (AL)

0

15500.

Burlington (NC)

2

39140.

Prescott (AZ)

0

37900.

Peoria (IL)

5

38860.

Portland–South Portland (ME)

3

19060.

Cumberland (MD, WV)

3

39300.

Providence–New Bedford–Fall River (MA, RI)

12

33340.

Milwaukee–Waukesha–West Allis (WI)

21

49420.

Yakima (WA)

1

36140.

Ocean City (NJ)

1

12100.

Atlantic City (NJ)

0

35660.

Niles–Benton Harbor (MI)

5

26580.

Huntington–Ashland (KY, OH, WV)

6

26900.

Indianapolis (IN)

22

15180.

Brownsville–Harlingen (TX)

1

33700.

Modesto (CA)

5

47220.

Vineland–Milville–Bridgeton (NJ)

1

28940.

Knoxville (TN)

3

11020.

Altoona (PA)

4

24140.

Goldsboro (NC)

3

13020.

Bay City (MI)

1

27060.

Ithaca (NY)

0

14260.

Boise City–Nampa (ID)

4

39900.

Reno–Sparks (NV)

4

19260.

Danville (VA)

1

34900.

Napa (CA)

0

40220.

Roanoke (VA)

6

17660.

Coeur D’Alene (ID)

0

30340.

Lewiston–Auburn (ME)

2

39540.

Racine (WI)

2

39380.

Pueblo (CO)

0

25420.

Harrisburg–Carlisle (PA)

5

20220.

Dubuque (IA)

0

47300.

Visalia–Porterville (CA)

2

28020.

Kalamazoo–Portage (MI)

2

42540.

Scranton–Wilkes-Barre (PA)

7

27860.

Jonesboro (AR)

1

Variable Format: numeric

Notes: UNF:5:XwxOAfksHss8lZvEojcnPw==

County

f2529479 Location:

Value

Label

Frequency

Text

21049.

Clark County, KY

0

32027.

Pershing County, NV

0

27161.

Waseca County, MN

0

30107.

Wheatland County, MT

0

48401.

Rusk County, TX

0

36025.

Delaware County, NY

0

39021.

Champaign County, OH

0

26143.

Roscommon County, MI

0

26035.

Clare County, MI

0

13095.

Dougherty County, GA

0

20201.

Washington County, KS

0

13165.

Jenkins County, GA

0

36003.

Allegany County, NY

0

28017.

Chickasaw County, MS

0

55111.

Sauk County, WI

0

12059.

Holmes County, FL

0

17097.

Lake County, IL

0

55007.

Bayfield County, WI

0

51137.

Orange County, VA

0

18117.

Orange County, IN

0

6065.

Riverside County, CA

0

4019.

Pima County, AZ

0

30075.

Powder River County, MT

0

37017.

Bladen County, NC

0

47175.

Van Buren County, TN

0

23001.

Androscoggin County, ME

0

48215.

Hidalgo County, TX

0

54005.

Boone County, WV

0

26087.

Lapeer County, MI

0

48337.

Montague County, TX

0

26037.

Clinton County, MI

0

5041.

Desha County, AR

0

20045.

Douglas County, KS

0

40137.

Stephens County, OK

0

13039.

Camden County, GA

0

41029.

Jackson County, OR

0

45049.

Hampton County, SC

0

47097.

Lauderdale County, TN

0

17063.

Grundy County, IL

0

21203.

Rockcastle County, KY

0

37011.

Avery County, NC

0

19003.

Adams County, IA

0

17101.

Lawrence County, IL

0

13287.

Turner County, GA

0

21175.

Morgan County, KY

0

39069.

Henry County, OH

0

55073.

Marathon County, WI

0

18121.

Parke County, IN

0

48107.

Crosby County, TX

0

29121.

Macon County, MO

0

48039.

Brazoria County, TX

0

22069.

Natchitoches Parish, LA

0

1103.

Morgan County, AL

0

13259.

Stewart County, GA

0

31067.

Gage County, NE

0

30053.

Lincoln County, MT

0

30041.

Hill County, MT

0

41059.

Umatilla County, OR

0

19127.

Marshall County, IA

0

29013.

Bates County, MO

0

47115.

Marion County, TN

0

18007.

Benton County, IN

0

27073.

Lac qui Parle County, MN

0

45047.

Greenwood County, SC

0

32019.

Lyon County, NV

0

22085.

Sabine Parish, LA

0

51163.

Rockbridge County, VA

0

28065.

Jefferson Davis County, MS

0

8125.

Yuma County, CO

0

27061.

Itasca County, MN

0

39059.

Guernsey County, OH

0

21239.

Woodford County, KY

0

29145.

Newton County, MO

0

51191.

Washington County, VA

0

17185.

Wabash County, IL

0

41011.

Coos County, OR

0

48289.

Leon County, TX

0

20145.

Pawnee County, KS

0

40079.

Le Flore County, OK

0

49049.

Utah County, UT

0

42053.

Forest County, PA

0

19089.

Howard County, IA

0

31159.

Seward County, NE

0

47107.

McMinn County, TN

0

27115.

Pine County, MN

0

37077.

Granville County, NC

0

51075.

Goochland County, VA

0

18127.

Porter County, IN

0

47157.

Shelby County, TN

0

20065.

Graham County, KS

0

27089.

Marshall County, MN

0

31123.

Morrill County, NE

0

37065.

Edgecombe County, NC

0

55075.

Marinette County, WI

0

1003.

Baldwin County, AL

0

40009.

Beckham County, OK

0

5097.

Montgomery County, AR

0

1057.

Fayette County, AL

0

16065.

Madison County, ID

0

37069.

Franklin County, NC

0

13213.

Murray County, GA

0

31107.

Knox County, NE

0

29143.

New Madrid County, MO

0

5061.

Howard County, AR

0

19103.

Johnson County, IA

0

1031.

Coffee County, AL

0

40119.

Payne County, OK

0

19021.

Buena Vista County, IA

0

22021.

Caldwell Parish, LA

0

24025.

Harford County, MD

0

48203.

Harrison County, TX

0

31167.

Stanton County, NE

0

49017.

Garfield County, UT

0

18149.

Starke County, IN

0

53045.

Mason County, WA

0

19115.

Louisa County, IA

0

49039.

Sanpete County, UT

0

26003.

Alger County, MI

0

12061.

Indian River County, FL

0

47011.

Bradley County, TN

0

30065.

Musselshell County, MT

0

20111.

Lyon County, KS

0

12086.

Miami-Dade County, FL

0

30101.

Toole County, MT

0

9011.

New London County, CT

0

16017.

Bonner County, ID

0

39061.

Hamilton County, OH

0

48053.

Burnet County, TX

0

41045.

Malheur County, OR

0

53041.

Lewis County, WA

0

40099.

Murray County, OK

0

23025.

Somerset County, ME

0

17081.

Jefferson County, IL

0

53069.

Wahkiakum County, WA

0

29171.

Putnam County, MO

0

51177.

Spotsylvania County, VA

0

36107.

Tioga County, NY

0

25011.

Franklin County, MA

0

48127.

Dimmit County, TX

0

13077.

Coweta County, GA

0

22057.

Lafourche Parish, LA

0

13187.

Lumpkin County, GA

0

53037.

Kittitas County, WA

0

55047.

Green Lake County, WI

0

1071.

Jackson County, AL

0

47147.

Robertson County, TN

0

31133.

Pawnee County, NE

0

13087.

Decatur County, GA

0

47061.

Grundy County, TN

0

47099.

Lawrence County, TN

0

27101.

Murray County, MN

0

5071.

Johnson County, AR

0

39057.

Greene County, OH

0

21051.

Clay County, KY

0

16051.

Jefferson County, ID

0

13067.

Cobb County, GA

0

51001.

Accomack County, VA

0

37105.

Lee County, NC

0

46025.

Clark County, SD

0

28111.

Perry County, MS

0

23005.

Cumberland County, ME

0

28071.

Lafayette County, MS

0

32510.

Carson City, NV

0

22083.

Richland Parish, LA

0

27023.

Chippewa County, MN

0

47021.

Cheatham County, TN

0

6053.

Monterey County, CA

0

48149.

Fayette County, TX

0

48487.

Wilbarger County, TX

0

51135.

Nottoway County, VA

0

17111.

McHenry County, IL

0

21059.

Daviess County, KY

0

18027.

Daviess County, IN

0

16049.

Idaho County, ID

0

36033.

Franklin County, NY

0

47093.

Knox County, TN

0

51035.

Carroll County, VA

0

13207.

Monroe County, GA

0

4012.

La Paz County, AZ

0

39031.

Coshocton County, OH

0

26117.

Montcalm County, MI

0

25009.

Essex County, MA

0

48387.

Red River County, TX

0

39167.

Washington County, OH

0

51067.

Franklin County, VA

0

48183.

Gregg County, TX

0

33009.

Grafton County, NH

0

13117.

Forsyth County, GA

0

38085.

Sioux County, ND

0

48391.

Refugio County, TX

0

45033.

Dillon County, SC

0

17139.

Moultrie County, IL

0

38103.

Wells County, ND

0

39115.

Morgan County, OH

0

17123.

Marshall County, IL

0

37021.

Buncombe County, NC

0

24047.

Worcester County, MD

0

51740.

Portsmouth city, VA

0

26023.

Branch County, MI

0

22027.

Claiborne Parish, LA

0

37047.

Columbus County, NC

0

39149.

Shelby County, OH

0

38047.

Logan County, ND

0

21065.

Estill County, KY

0

18101.

Martin County, IN

0

48303.

Lubbock County, TX

0

28075.

Lauderdale County, MS

0

40153.

Woodward County, OK

0

48021.

Bastrop County, TX

0

45011.

Barnwell County, SC

0

51099.

King George County, VA

0

24021.

Frederick County, MD

0

23003.

Aroostook County, ME

0

37093.

Hoke County, NC

0

34029.

Ocean County, NJ

0

19019.

Buchanan County, IA

0

47041.

DeKalb County, TN

0

19053.

Decatur County, IA

0

42031.

Clarion County, PA

0

56027.

Niobrara County, WY

0

32017.

Lincoln County, NV

0

13303.

Washington County, GA

0

39133.

Portage County, OH

0

48483.

Wheeler County, TX

0

6039.

Madera County, CA

0

26043.

Dickinson County, MI

0

35028.

Los Alamos County, NM

0

40055.

Greer County, OK

0

36023.

Cortland County, NY

0

4001.

Apache County, AZ

0

38019.

Cavalier County, ND

0

26015.

Barry County, MI

0

32029.

Storey County, NV

0

36029.

Erie County, NY

0

12081.

Manatee County, FL

0

26017.

Bay County, MI

0

55065.

Lafayette County, WI

0

47065.

Hamilton County, TN

0

13153.

Houston County, GA

0

12085.

Martin County, FL

0

22047.

Iberville Parish, LA

0

6049.

Modoc County, CA

0

29041.

Chariton County, MO

0

42121.

Venango County, PA

0

38063.

Nelson County, ND

0

48331.

Milam County, TX

0

30021.

Dawson County, MT

0

22113.

Vermilion Parish, LA

0

8077.

Mesa County, CO

0

28029.

Copiah County, MS

0

42061.

Huntingdon County, PA

0

40097.

Mayes County, OK

0

24003.

Anne Arundel County, MD

0

47085.

Humphreys County, TN

0

51041.

Chesterfield County, VA

0

23013.

Knox County, ME

0

12013.

Calhoun County, FL

0

17129.

Menard County, IL

0

17199.

Williamson County, IL

0

5067.

Jackson County, AR

0

1063.

Greene County, AL

0

5023.

Cleburne County, AR

0

26055.

Grand Traverse County, MI

0

27163.

Washington County, MN

0

8014.

Broomfield County, CO

0

27173.

Yellow Medicine County, MN

0

51115.

Mathews County, VA

0

21151.

Madison County, KY

0

49003.

Box Elder County, UT

0

5089.

Marion County, AR

0

27141.

Sherburne County, MN

0

47189.

Wilson County, TN

0

47143.

Rhea County, TN

0

28031.

Covington County, MS

0

38081.

Sargent County, ND

0

13055.

Chattooga County, GA

0

24031.

Montgomery County, MD

0

54059.

Mingo County, WV

0

47019.

Carter County, TN

0

17157.

Randolph County, IL

0

20207.

Woodson County, KS

0

38041.

Hettinger County, ND

0

48017.

Bailey County, TX

0

48083.

Coleman County, TX

0

26019.

Benzie County, MI

0

46091.

Marshall County, SD

0

29045.

Clark County, MO

0

42071.

Lancaster County, PA

0

8073.

Lincoln County, CO

0

5125.

Saline County, AR

0

42005.

Armstrong County, PA

0

30017.

Custer County, MT

0

6025.

Imperial County, CA

0

28033.

DeSoto County, MS

0

26007.

Alpena County, MI

0

48151.

Fisher County, TX

0

48413.

Schleicher County, TX

0

42077.

Lehigh County, PA

0

40111.

Okmulgee County, OK

0

8059.

Jefferson County, CO

0

27107.

Norman County, MN

0

20185.

Stafford County, KS

0

54045.

Logan County, WV

0

46013.

Brown County, SD

0

17167.

Sangamon County, IL

0

17141.

Ogle County, IL

0

5115.

Pope County, AR

0

1051.

Elmore County, AL

0

19177.

Van Buren County, IA

0

47159.

Smith County, TN

0

1123.

Tallapoosa County, AL

0

19083.

Hardin County, IA

0

19119.

Lyon County, IA

0

8055.

Huerfano County, CO

0

8081.

Moffat County, CO

0

26013.

Baraga County, MI

0

39033.

Crawford County, OH

0

5141.

Van Buren County, AR

0

39067.

Harrison County, OH

0

37139.

Pasquotank County, NC

0

17113.

McLean County, IL

0

5129.

Searcy County, AR

0

31169.

Thayer County, NE

0

28001.

Adams County, MS

0

6059.

Orange County, CA

0

27169.

Winona County, MN

0

28153.

Wayne County, MS

0

32031.

Washoe County, NV

0

6031.

Kings County, CA

0

27047.

Freeborn County, MN

0

26001.

Alcona County, MI

0

28123.

Scott County, MS

0

20083.

Hodgeman County, KS

0

29075.

Gentry County, MO

0

27119.

Polk County, MN

0

51750.

Radford city, VA

0

19091.

Humboldt County, IA

0

47001.

Anderson County, TN

0

37089.

Henderson County, NC

0

37087.

Haywood County, NC

0

13319.

Wilkinson County, GA

0

17007.

Boone County, IL

0

19023.

Butler County, IA

0

42069.

Lackawanna County, PA

0

46003.

Aurora County, SD

0

22071.

Orleans Parish, LA

0

36087.

Rockland County, NY

0

21205.

Rowan County, KY

0

13183.

Long County, GA

0

48003.

Andrews County, TX

0

30031.

Gallatin County, MT

0

50009.

Essex County, VT

0

20005.

Atchison County, KS

0

29107.

Lafayette County, MO

0

42085.

Mercer County, PA

0

48265.

Kerr County, TX

0

56007.

Carbon County, WY

0

48425.

Somervell County, TX

0

54043.

Lincoln County, WV

0

48381.

Randall County, TX

0

17083.

Jersey County, IL

0

21067.

Fayette County, KY

0

6033.

Lake County, CA

0

12093.

Okeechobee County, FL

0

27139.

Scott County, MN

0

47103.

Lincoln County, TN

0

37159.

Rowan County, NC

0

21221.

Trigg County, KY

0

39085.

Lake County, OH

0

47073.

Hawkins County, TN

0

55135.

Waupaca County, WI

0

18161.

Union County, IN

0

47137.

Pickett County, TN

0

48493.

Wilson County, TX

0

47187.

Williamson County, TN

0

26103.

Marquette County, MI

0

54099.

Wayne County, WV

0

1119.

Sumter County, AL

0

20209.

Wyandotte County, KS

0

40029.

Coal County, OK

0

25023.

Plymouth County, MA

0

27127.

Redwood County, MN

0

38017.

Cass County, ND

0

44001.

Bristol County, RI

0

49057.

Weber County, UT

0

29159.

Pettis County, MO

0

47051.

Franklin County, TN

0

29047.

Clay County, MO

0

17069.

Hardin County, IL

0

22077.

Pointe Coupee Parish, LA

0

35003.

Catron County, NM

0

50023.

Washington County, VT

0

19169.

Story County, IA

0

9005.

Litchfield County, CT

0

55109.

St. Croix County, WI

0

22033.

East Baton Rouge Parish, LA

0

41055.

Sherman County, OR

0

28115.

Pontotoc County, MS

0

48129.

Donley County, TX

0

8013.

Boulder County, CO

0

47113.

Madison County, TN

0

45009.

Bamberg County, SC

0

20099.

Labette County, KS

0

42081.

Lycoming County, PA

0

22053.

Jefferson Davis Parish, LA

0

28127.

Simpson County, MS

0

48319.

Mason County, TX

0

36039.

Greene County, NY

0

46017.

Buffalo County, SD

0

1105.

Perry County, AL

0

18041.

Fayette County, IN

0

18141.

St. Joseph County, IN

0

41061.

Union County, OR

0

39063.

Hancock County, OH

0

51019.

Bedford County, VA

0

37079.

Greene County, NC

0

21139.

Livingston County, KY

0

37103.

Jones County, NC

0

31041.

Custer County, NE

0

17091.

Kankakee County, IL

0

5077.

Lee County, AR

0

28141.

Tishomingo County, MS

0

8003.

Alamosa County, CO

0

26041.

Delta County, MI

0

36049.

Lewis County, NY

0

45037.

Edgefield County, SC

0

40015.

Caddo County, OK

0

27099.

Mower County, MN

0

41027.

Hood River County, OR

0

19099.

Jasper County, IA

0

13085.

Dawson County, GA

0

12019.

Clay County, FL

0

51125.

Nelson County, VA

0

18053.

Grant County, IN

0

34017.

Hudson County, NJ

0

17131.

Mercer County, IL

0

18013.

Brown County, IN

0

31111.

Lincoln County, NE

0

46081.

Lawrence County, SD

0

19143.

Osceola County, IA

0

26089.

Leelanau County, MI

0

21015.

Boone County, KY

0

42019.

Butler County, PA

0

20129.

Morton County, KS

0

17187.

Warren County, IL

0

19173.

Taylor County, IA

0

48453.

Travis County, TX

0

8053.

Hinsdale County, CO

0

18085.

Kosciusko County, IN

0

28079.

Leake County, MS

0

37135.

Orange County, NC

0

47121.

Meigs County, TN

0

37057.

Davidson County, NC

0

21045.

Casey County, KY

0

31043.

Dakota County, NE

0

21185.

Oldham County, KY

0

27129.

Renville County, MN

0

29099.

Jefferson County, MO

0

22061.

Lincoln Parish, LA

0

13135.

Gwinnett County, GA

0

13031.

Bulloch County, GA

0

34019.

Hunterdon County, NJ

0

48119.

Delta County, TX

0

17193.

White County, IL

0

40113.

Osage County, OK

0

40149.

Washita County, OK

0

55003.

Ashland County, WI

0

27093.

Meeker County, MN

0

16019.

Bonneville County, ID

0

50021.

Rutland County, VT

0

51003.

Albemarle County, VA

0

39035.

Cuyahoga County, OH

0

17181.

Union County, IL

0

18139.

Rush County, IN

0

49019.

Grand County, UT

0

5007.

Benton County, AR

0

17143.

Peoria County, IL

0

5039.

Dallas County, AR

0

47055.

Giles County, TN

0

12005.

Bay County, FL

0

47087.

Jackson County, TN

0

1009.

Blount County, AL

0

5137.

Stone County, AR

0

28045.

Hancock County, MS

0

56009.

Converse County, WY

0

35025.

Lea County, NM

0

18153.

Sullivan County, IN

0

36007.

Broome County, NY

0

21215.

Spencer County, KY

0

42055.

Franklin County, PA

0

26137.

Otsego County, MI

0

26071.

Iron County, MI

0

28087.

Lowndes County, MS

0

5083.

Logan County, AR

0

5057.

Hempstead County, AR

0

30089.

Sanders County, MT

0

17071.

Henderson County, IL

0

38069.

Pierce County, ND

0

36053.

Madison County, NY

0

17177.

Stephenson County, IL

0

29119.

McDonald County, MO

0

21105.

Hickman County, KY

0

26079.

Kalkaska County, MI

0

39157.

Tuscarawas County, OH

0

13297.

Walton County, GA

0

12109.

St. Johns County, FL

0

21113.

Jessamine County, KY

0

51760.

Richmond city, VA

0

37151.

Randolph County, NC

0

48237.

Jack County, TX

0

26025.

Calhoun County, MI

0

49027.

Millard County, UT

0

20063.

Gove County, KS

0

27097.

Morrison County, MN

0

20027.

Clay County, KS

0

17135.

Montgomery County, IL

0

39065.

Hardin County, OH

0

38079.

Rolette County, ND

0

13129.

Gordon County, GA

0

13197.

Marion County, GA

0

21109.

Jackson County, KY

0

22095.

St. John the Baptist Parish, LA

0

6113.

Yolo County, CA

0

37117.

Martin County, NC

0

27007.

Beltrami County, MN

0

13073.

Columbia County, GA

0

48111.

Dallam County, TX

0

19135.

Monroe County, IA

0

37143.

Perquimans County, NC

0

45069.

Marlboro County, SC

0

6071.

San Bernardino County, CA

0

42063.

Indiana County, PA

0

8011.

Bent County, CO

0

30097.

Sweet Grass County, MT

0

13125.

Glascock County, GA

0

48499.

Wood County, TX

0

18067.

Howard County, IN

0

18131.

Pulaski County, IN

0

29095.

Jackson County, MO

0

42075.

Lebanon County, PA

0

30095.

Stillwater County, MT

0

26031.

Cheboygan County, MI

0

18057.

Hamilton County, IN

0

31037.

Colfax County, NE

0

18083.

Knox County, IN

0

53031.

Jefferson County, WA

0

42113.

Sullivan County, PA

0

21201.

Robertson County, KY

0

21177.

Muhlenberg County, KY

0

13059.

Clarke County, GA

0

42105.

Potter County, PA

0

39135.

Preble County, OH

0

10003.

New Castle County, DE

0

38093.

Stutsman County, ND

0

32033.

White Pine County, NV

0

20047.

Edwards County, KS

0

13273.

Terrell County, GA

0

53051.

Pend Oreille County, WA

0

20015.

Butler County, KS

0

5107.

Phillips County, AR

0

47035.

Cumberland County, TN

0

31035.

Clay County, NE

0

29510.

St. Louis city, MO

0

20085.

Jackson County, KS

0

37055.

Dare County, NC

0

48419.

Shelby County, TX

0

42035.

Clinton County, PA

0

48347.

Nacogdoches County, TX

0

40121.

Pittsburg County, OK

0

45043.

Georgetown County, SC

0

19087.

Henry County, IA

0

27005.

Becker County, MN

0

20037.

Crawford County, KS

0

46069.

Hyde County, SD

0

45051.

Horry County, SC

0

55051.

Iron County, WI

0

25005.

Bristol County, MA

0

21189.

Owsley County, KY

0

48439.

Tarrant County, TX

0

51101.

King William County, VA

0

45019.

Charleston County, SC

0

54039.

Kanawha County, WV

0

51690.

Martinsville city, VA

0

47183.

Weakley County, TN

0

37179.

Union County, NC

0

48491.

Williamson County, TX

0

29199.

Scotland County, MO

0

48259.

Kendall County, TX

0

55033.

Dunn County, WI

0

40135.

Sequoyah County, OK

0

20191.

Sumner County, KS

0

28121.

Rankin County, MS

0

13155.

Irwin County, GA

0

48185.

Grimes County, TX

0

37007.

Anson County, NC

0

1133.

Winston County, AL

0

13075.

Cook County, GA

0

42023.

Cameron County, PA

0

30009.

Carbon County, MT

0

48035.

Bosque County, TX

0

17025.

Clay County, IL

0

27069.

Kittson County, MN

0

51159.

Richmond County, VA

0

45007.

Anderson County, SC

0

51570.

Colonial Heights city, VA

0

8095.

Phillips County, CO

0

18047.

Franklin County, IN

0

51027.

Buchanan County, VA

0

37131.

Northampton County, NC

0

42127.

Wayne County, PA

0

17005.

Bond County, IL

0

1043.

Cullman County, AL

0

46071.

Jackson County, SD

0

51107.

Loudoun County, VA

0

18025.

Crawford County, IN

0

41015.

Curry County, OR

0

19157.

Poweshiek County, IA

0

35061.

Valencia County, NM

0

53021.

Franklin County, WA

0

5145.

White County, AR

0

48357.

Ochiltree County, TX

0

51173.

Smyth County, VA

0

6005.

Amador County, CA

0

48481.

Wharton County, TX

0

19045.

Clinton County, IA

0

6041.

Marin County, CA

0

48291.

Liberty County, TX

0

16061.

Lewis County, ID

0

28041.

Greene County, MS

0

51153.

Prince William County, VA

0

12045.

Gulf County, FL

0

54095.

Tyler County, WV

0

13223.

Paulding County, GA

0

29059.

Dallas County, MO

0

26077.

Kalamazoo County, MI

0

54011.

Cabell County, WV

0

12101.

Pasco County, FL

0

31135.

Perkins County, NE

0

17029.

Coles County, IL

0

36035.

Fulton County, NY

0

13315.

Wilcox County, GA

0

34007.

Camden County, NJ

0

45063.

Lexington County, SC

0

29027.

Callaway County, MO

0

48063.

Camp County, TX

0

19013.

Black Hawk County, IA

0

8009.

Baca County, CO

0

19075.

Grundy County, IA

0

48409.

San Patricio County, TX

0

24017.

Charles County, MD

0

36021.

Columbia County, NY

0

48325.

Medina County, TX

0

34031.

Passaic County, NJ

0

18169.

Wabash County, IN

0

48145.

Falls County, TX

0

17077.

Jackson County, IL

0

6109.

Tuolumne County, CA

0

27035.

Crow Wing County, MN

0

48137.

Edwards County, TX

0

26141.

Presque Isle County, MI

0

29125.

Maries County, MO

0

54069.

Ohio County, WV

0

31129.

Nuckolls County, NE

0

6101.

Sutter County, CA

0

31001.

Adams County, NE

0

31147.

Richardson County, NE

0

19107.

Keokuk County, IA

0

8023.

Costilla County, CO

0

8005.

Arapahoe County, CO

0

12051.

Hendry County, FL

0

48025.

Bee County, TX

0

51720.

Norton city, VA

0

21037.

Campbell County, KY

0

51139.

Page County, VA

0

47037.

Davidson County, TN

0

56013.

Fremont County, WY

0

35013.

Dona Ana County, NM

0

33013.

Merrimack County, NH

0

1075.

Lamar County, AL

0

5065.

Izard County, AR

0

55037.

Florence County, WI

0

6085.

Santa Clara County, CA

0

47127.

Moore County, TN

0

48421.

Sherman County, TX

0

48201.

Harris County, TX

0

48079.

Cochran County, TX

0

21019.

Boyd County, KY

0

13045.

Carroll County, GA

0

37145.

Person County, NC

0

55095.

Polk County, WI

0

17175.

Stark County, IL

0

48277.

Lamar County, TX

0

28105.

Oktibbeha County, MS

0

48397.

Rockwall County, TX

0

5045.

Faulkner County, AR

0

48067.

Cass County, TX

0

19077.

Guthrie County, IA

0

19069.

Franklin County, IA

0

36069.

Ontario County, NY

0

13163.

Jefferson County, GA

0

18119.

Owen County, IN

0

19025.

Calhoun County, IA

0

5099.

Nevada County, AR

0

13099.

Early County, GA

0

29183.

St. Charles County, MO

0

6063.

Plumas County, CA

0

45013.

Beaufort County, SC

0

26093.

Livingston County, MI

0

13277.

Tift County, GA

0

1059.

Franklin County, AL

0

48355.

Nueces County, TX

0

51520.

Bristol city, VA

0

31179.

Wayne County, NE

0

13261.

Sumter County, GA

0

20049.

Elk County, KS

0

8119.

Teller County, CO

0

21081.

Grant County, KY

0

42109.

Snyder County, PA

0

10005.

Sussex County, DE

0

24039.

Somerset County, MD

0

51187.

Warren County, VA

0

45073.

Oconee County, SC

0

40005.

Atoka County, OK

0

48299.

Llano County, TX

0

51199.

York County, VA

0

29093.

Iron County, MO

0

51630.

Fredericksburg city, VA

0

46117.

Stanley County, SD

0

17023.

Clark County, IL

0

51185.

Tazewell County, VA

0

48423.

Smith County, TX

0

48333.

Mills County, TX

0

19017.

Bremer County, IA

0

20021.

Cherokee County, KS

0

45091.

York County, SC

0

13217.

Newton County, GA

0

29213.

Taney County, MO

0

17125.

Mason County, IL

0

13105.

Elbert County, GA

0

13227.

Pickens County, GA

0

47031.

Coffee County, TN

0

48279.

Lamb County, TX

0

42097.

Northumberland County, PA

0

19059.

Dickinson County, IA

0

26163.

Wayne County, MI

0

48351.

Newton County, TX

0

8021.

Conejos County, CO

0

45075.

Orangeburg County, SC

0

48403.

Sabine County, TX

0

31071.

Garfield County, NE

0

53027.

Grays Harbor County, WA

0

22123.

West Carroll Parish, LA

0

6069.

San Benito County, CA

0

29053.

Cooper County, MO

0

31153.

Sarpy County, NE

0

54073.

Pleasants County, WV

0

21009.

Barren County, KY

0

18031.

Decatur County, IN

0

18069.

Huntington County, IN

0

51179.

Stafford County, VA

0

42043.

Dauphin County, PA

0

30059.

Meagher County, MT

0

37049.

Craven County, NC

0

48321.

Matagorda County, TX

0

6011.

Colusa County, CA

0

19189.

Winnebago County, IA

0

53007.

Chelan County, WA

0

27145.

Stearns County, MN

0

46137.

Ziebach County, SD

0

17053.

Ford County, IL

0

12113.

Santa Rosa County, FL

0

48471.

Walker County, TX

0

48009.

Archer County, TX

0

21041.

Carroll County, KY

0

17027.

Clinton County, IL

0

26033.

Chippewa County, MI

0

40019.

Carter County, OK

0

30083.

Richland County, MT

0

26151.

Sanilac County, MI

0

17039.

De Witt County, IL

0

53047.

Okanogan County, WA

0

28089.

Madison County, MS

0

16039.

Elmore County, ID

0

18155.

Switzerland County, IN

0

13119.

Franklin County, GA

0

29207.

Stoddard County, MO

0

12069.

Lake County, FL

0

45061.

Lee County, SC

0

36101.

Steuben County, NY

0

18105.

Monroe County, IN

0

48313.

Madison County, TX

0

48225.

Houston County, TX

0

8071.

Las Animas County, CO

0

54083.

Randolph County, WV

0

21179.

Nelson County, KY

0

39009.

Athens County, OH

0

47079.

Henry County, TN

0

55117.

Sheboygan County, WI

0

34005.

Burlington County, NJ

0

37099.

Jackson County, NC

0

20019.

Chautauqua County, KS

0

39073.

Hocking County, OH

0

42089.

Monroe County, PA

0

18113.

Noble County, IN

0

39041.

Delaware County, OH

0

49045.

Tooele County, UT

0

17037.

DeKalb County, IL

0

29175.

Randolph County, MO

0

12015.

Charlotte County, FL

0

20121.

Miami County, KS

0

8057.

Jackson County, CO

0

30077.

Powell County, MT

0

46079.

Lake County, SD

0

27059.

Isanti County, MN

0

40125.

Pottawatomie County, OK

0

55009.

Brown County, WI

0

56019.

Johnson County, WY

0

27019.

Carver County, MN

0

46015.

Brule County, SD

0

37183.

Wake County, NC

0

19133.

Monona County, IA

0

22117.

Washington Parish, LA

0

13157.

Jackson County, GA

0

26029.

Charlevoix County, MI

0

36051.

Livingston County, NY

0

27041.

Douglas County, MN

0

35047.

San Miguel County, NM

0

13079.

Crawford County, GA

0

28019.

Choctaw County, MS

0

6079.

San Luis Obispo County, CA

0

29083.

Henry County, MO

0

22089.

St. Charles Parish, LA

0

18073.

Jasper County, IN

0

4027.

Yuma County, AZ

0

53039.

Klickitat County, WA

0

42129.

Westmoreland County, PA

0

27123.

Ramsey County, MN

0

26127.

Oceana County, MI

0

42049.

Erie County, PA

0

21027.

Breckinridge County, KY

0

5021.

Clay County, AR

0

48019.

Bandera County, TX

0

12131.

Walton County, FL

0

29123.

Madison County, MO

0

46007.

Bennett County, SD

0

5025.

Cleveland County, AR

0

51053.

Dinwiddie County, VA

0

12021.

Collier County, FL

0

12077.

Liberty County, FL

0

24510.

Baltimore city, MD

0

48327.

Menard County, TX

0

36045.

Jefferson County, NY

0

40043.

Dewey County, OK

0

30081.

Ravalli County, MT

0

46125.

Turner County, SD

0

28157.

Wilkinson County, MS

0

42041.

Cumberland County, PA

0

48219.

Hockley County, TX

0

21131.

Leslie County, KY

0

21229.

Washington County, KY

0

12105.

Polk County, FL

0

51021.

Bland County, VA

0

48211.

Hemphill County, TX

0

40083.

Logan County, OK

0

55071.

Manitowoc County, WI

0

37091.

Hertford County, NC

0

17035.

Cumberland County, IL

0

1061.

Geneva County, AL

0

48121.

Denton County, TX

0

21167.

Mercer County, KY

0

39121.

Noble County, OH

0

27147.

Steele County, MN

0

5087.

Madison County, AR

0

56029.

Park County, WY

0

34003.

Bergen County, NJ

0

37027.

Caldwell County, NC

0

37075.

Graham County, NC

0

13215.

Muscogee County, GA

0

56037.

Sweetwater County, WY

0

28011.

Bolivar County, MS

0

16011.

Bingham County, ID

0

48221.

Hood County, TX

0

42039.

Crawford County, PA

0

51775.

Salem city, VA

0

47101.

Lewis County, TN

0

51145.

Powhatan County, VA

0

19123.

Mahaska County, IA

0

19047.

Crawford County, IA

0

13003.

Atkinson County, GA

0

1107.

Pickens County, AL

0

46055.

Haakon County, SD

0

38011.

Bowman County, ND

0

39169.

Wayne County, OH

0

19147.

Palo Alto County, IA

0

13211.

Morgan County, GA

0

1065.

Hale County, AL

0

40103.

Noble County, OK

0

47139.

Polk County, TN

0

12083.

Marion County, FL

0

13133.

Greene County, GA

0

8087.

Morgan County, CO

0

8031.

Denver County, CO

0

31019.

Buffalo County, NE

0

13221.

Oglethorpe County, GA

0

20017.

Chase County, KS

0

45083.

Spartanburg County, SC

0

18183.

Whitley County, IN

0

28067.

Jones County, MS

0

21217.

Taylor County, KY

0

26091.

Lenawee County, MI

0

13145.

Harris County, GA

0

51700.

Newport News city, VA

0

29135.

Moniteau County, MO

0

53043.

Lincoln County, WA

0

16001.

Ada County, ID

0

34039.

Union County, NJ

0

45001.

Abbeville County, SC

0

37063.

Durham County, NC

0

6105.

Trinity County, CA

0

28151.

Washington County, MS

0

18129.

Posey County, IN

0

18163.

Vanderburgh County, IN

0

48267.

Kimble County, TX

0

19139.

Muscatine County, IA

0

48305.

Lynn County, TX

0

21021.

Boyle County, KY

0

27095.

Mille Lacs County, MN

0

47163.

Sullivan County, TN

0

37037.

Chatham County, NC

0

40087.

McClain County, OK

0

41047.

Marion County, OR

0

21227.

Warren County, KY

0

22099.

St. Martin Parish, LA

0

48283.

La Salle County, TX

0

41033.

Josephine County, OR

0

55043.

Grant County, WI

0

20195.

Trego County, KS

0

29035.

Carter County, MO

0

22009.

Avoyelles Parish, LA

0

28061.

Jasper County, MS

0

6021.

Glenn County, CA

0

51840.

Winchester city, VA

0

30071.

Phillips County, MT

0

16083.

Twin Falls County, ID

0

28049.

Hinds County, MS

0

17013.

Calhoun County, IL

0

13069.

Coffee County, GA

0

37167.

Stanly County, NC

0

51157.

Rappahannock County, VA

0

55053.

Jackson County, WI

0

21017.

Bourbon County, KY

0

48037.

Bowie County, TX

0

4015.

Mohave County, AZ

0

18015.

Carroll County, IN

0

50013.

Grand Isle County, VT

0

45081.

Saluda County, SC

0

26053.

Gogebic County, MI

0

26099.

Macomb County, MI

0

5081.

Little River County, AR

0

21161.

Mason County, KY

0

35029.

Luna County, NM

0

48441.

Taylor County, TX

0

12103.

Pinellas County, FL

0

40053.

Grant County, OK

0

34015.

Gloucester County, NJ

0

6077.

San Joaquin County, CA

0

48385.

Real County, TX

0

28035.

Forrest County, MS

0

51051.

Dickenson County, VA

0

39125.

Paulding County, OH

0

39159.

Union County, OH

0

28081.

Lee County, MS

0

22017.

Caddo Parish, LA

0

45077.

Pickens County, SC

0

48429.

Stephens County, TX

0

48115.

Dawson County, TX

0

27049.

Goodhue County, MN

0

45089.

Williamsburg County, SC

0

51069.

Frederick County, VA

0

54061.

Monongalia County, WV

0

30073.

Pondera County, MT

0

29073.

Gasconade County, MO

0

41037.

Lake County, OR

0

16073.

Owyhee County, ID

0

20041.

Dickinson County, KS

0

8017.

Cheyenne County, CO

0

55067.

Langlade County, WI

0

44009.

Washington County, RI

0

37081.

Guilford County, NC

0

22007.

Assumption Parish, LA

0

20187.

Stanton County, KS

0

55015.

Calumet County, WI

0

37045.

Cleveland County, NC

0

17195.

Whiteside County, IL

0

1005.

Barbour County, AL

0

20087.

Jefferson County, KS

0

21069.

Fleming County, KY

0

30039.

Granite County, MT

0

19151.

Pocahontas County, IA

0

56023.

Lincoln County, WY

0

17033.

Crawford County, IL

0

16035.

Clearwater County, ID

0

42021.

Cambria County, PA

0

48465.

Val Verde County, TX

0

28163.

Yazoo County, MS

0

22039.

Evangeline Parish, LA

0

16045.

Gem County, ID

0

48081.

Coke County, TX

0

48109.

Culberson County, TX

0

20025.

Clark County, KS

0

36099.

Seneca County, NY

0

16053.

Jerome County, ID

0

27167.

Wilkin County, MN

0

48041.

Brazos County, TX

0

32015.

Lander County, NV

0

48477.

Washington County, TX

0

45027.

Clarendon County, SC

0

12035.

Flagler County, FL

0

51089.

Henry County, VA

0

51109.

Louisa County, VA

0

22107.

Tensas Parish, LA

0

21043.

Carter County, KY

0

17049.

Effingham County, IL

0

22081.

Red River Parish, LA

0

19037.

Chickasaw County, IA

0

1025.

Clarke County, AL

0

47181.

Wayne County, TN

0

29129.

Mercer County, MO

0

39055.

Geauga County, OH

0

28149.

Warren County, MS

0

17043.

DuPage County, IL

0

55013.

Burnett County, WI

0

5109.

Pike County, AR

0

13233.

Polk County, GA

0

8079.

Mineral County, CO

0

13097.

Douglas County, GA

0

5047.

Franklin County, AR

0

27085.

McLeod County, MN

0

27083.

Lyon County, MN

0

46099.

Minnehaha County, SD

0

48245.

Jefferson County, TX

0

13107.

Emanuel County, GA

0

5035.

Crittenden County, AR

0

35021.

Harding County, NM

0

5133.

Sevier County, AR

0

24045.

Wicomico County, MD

0

27137.

St. Louis County, MN

0

37111.

McDowell County, NC

0

19097.

Jackson County, IA

0

40147.

Washington County, OK

0

28145.

Union County, MS

0

20043.

Doniphan County, KS

0

47059.

Greene County, TN

0

5031.

Craighead County, AR

0

20091.

Johnson County, KS

0

31033.

Cheyenne County, NE

0

20181.

Sherman County, KS

0

19057.

Des Moines County, IA

0

44003.

Kent County, RI

0

22051.

Jefferson Parish, LA

0

17099.

La Salle County, IL

0

12029.

Dixie County, FL

0

21029.

Bullitt County, KY

0

39129.

Pickaway County, OH

0

48189.

Hale County, TX

0

21163.

Meade County, KY

0

31173.

Thurston County, NE

0

55005.

Barron County, WI

0

47039.

Decatur County, TN

0

40057.

Harmon County, OK

0

13131.

Grady County, GA

0

18045.

Fountain County, IN

0

13009.

Baldwin County, GA

0

36105.

Sullivan County, NY

0

40151.

Woods County, OK

0

8049.

Grand County, CO

0

18059.

Hancock County, IN

0

37121.

Mitchell County, NC

0

35019.

Guadalupe County, NM

0

47165.

Sumner County, TN

0

20061.

Geary County, KS

0

38001.

Adams County, ND

0

31003.

Antelope County, NE

0

36093.

Schenectady County, NY

0

48485.

Wichita County, TX

0

20059.

Franklin County, KS

0

47153.

Sequatchie County, TN

0

38105.

Williams County, ND

0

20003.

Anderson County, KS

0

38101.

Ward County, ND

0

40013.

Bryan County, OK

0

21169.

Metcalfe County, KY

0

48059.

Callahan County, TX

0

48015.

Austin County, TX

0

36027.

Dutchess County, NY

0

13245.

Richmond County, GA

0

38009.

Bottineau County, ND

0

5051.

Garland County, AR

0

20143.

Ottawa County, KS

0

51011.

Appomattox County, VA

0

26121.

Muskegon County, MI

0

21117.

Kenton County, KY

0

24009.

Calvert County, MD

0

19055.

Delaware County, IA

0

39047.

Fayette County, OH

0

35017.

Grant County, NM

0

51033.

Caroline County, VA

0

9013.

Tolland County, CT

0

48199.

Hardin County, TX

0

54051.

Marshall County, WV

0

39053.

Gallia County, OH

0

53023.

Garfield County, WA

0

30063.

Missoula County, MT

0

20159.

Rice County, KS

0

48005.

Angelina County, TX

0

53035.

Kitsap County, WA

0

41003.

Benton County, OR

0

19171.

Tama County, IA

0

31155.

Saunders County, NE

0

13311.

White County, GA

0

38003.

Barnes County, ND

0

37193.

Wilkes County, NC

0

1007.

Bibb County, AL

0

27063.

Jackson County, MN

0

46105.

Perkins County, SD

0

47141.

Putnam County, TN

0

23027.

Waldo County, ME

0

17003.

Alexander County, IL

0

18159.

Tipton County, IN

0

37113.

Macon County, NC

0

22001.

Acadia Parish, LA

0

39099.

Mahoning County, OH

0

35049.

Santa Fe County, NM

0

39175.

Wyandot County, OH

0

34001.

Atlantic County, NJ

0

28097.

Montgomery County, MS

0

29195.

Saline County, MO

0

47009.

Blount County, TN

0

4007.

Gila County, AZ

0

55123.

Vernon County, WI

0

37029.

Camden County, NC

0

31157.

Scotts Bluff County, NE

0

46087.

McCook County, SD

0

37115.

Madison County, NC

0

20167.

Russell County, KS

0

21223.

Trimble County, KY

0

24015.

Cecil County, MD

0

30013.

Cascade County, MT

0

42029.

Chester County, PA

0

56045.

Weston County, WY

0

26147.

St. Clair County, MI

0

28099.

Neshoba County, MS

0

6055.

Napa County, CA

0

42011.

Berks County, PA

0

20011.

Bourbon County, KS

0

29163.

Pike County, MO

0

13179.

Liberty County, GA

0

13275.

Thomas County, GA

0

5121.

Randolph County, AR

0

21089.

Greenup County, KY

0

56015.

Goshen County, WY

0

28117.

Prentiss County, MS

0

54057.

Mineral County, WV

0

51063.

Floyd County, VA

0

51059.

Fairfax County, VA

0

51183.

Sussex County, VA

0

55019.

Clark County, WI

0

48195.

Hansford County, TX

0

46027.

Clay County, SD

0

40073.

Kingfisher County, OK

0

19007.

Appanoose County, IA

0

39123.

Ottawa County, OH

0

39111.

Monroe County, OH

0

42017.

Bucks County, PA

0

55137.

Waushara County, WI

0

36061.

New York County, NY

0

27135.

Roseau County, MN

0

48297.

Live Oak County, TX

0

27155.

Traverse County, MN

0

5079.

Lincoln County, AR

0

20093.

Kearny County, KS

0

6057.

Nevada County, CA

0

8067.

La Plata County, CO

0

51810.

Virginia Beach city, VA

0

41067.

Washington County, OR

0

39075.

Holmes County, OH

0

6037.

Los Angeles County, CA

0

1127.

Walker County, AL

0

19063.

Emmet County, IA

0

39091.

Logan County, OH

0

8007.

Archuleta County, CO

0

38073.

Ransom County, ND

0

1021.

Chilton County, AL

0

29215.

Texas County, MO

0

41005.

Clackamas County, OR

0

13137.

Habersham County, GA

0

37001.

Alamance County, NC

0

19073.

Greene County, IA

0

48157.

Fort Bend County, TX

0

38015.

Burleigh County, ND

0

22023.

Cameron Parish, LA

0

48231.

Hunt County, TX

0

35007.

Colfax County, NM

0

48095.

Concho County, TX

0

46135.

Yankton County, SD

0

51510.

Alexandria city, VA

0

47071.

Hardin County, TN

0

16055.

Kootenai County, ID

0

12125.

Union County, FL

0

19181.

Warren County, IA

0

5019.

Clark County, AR

0

4023.

Santa Cruz County, AZ

0

29185.

St. Clair County, MO

0

16087.

Washington County, ID

0

36075.

Oswego County, NY

0

38077.

Richland County, ND

0

8047.

Gilpin County, CO

0

54013.

Calhoun County, WV

0

32001.

Churchill County, NV

0

12007.

Bradford County, FL

0

31053.

Dodge County, NE

0

19061.

Dubuque County, IA

0

37085.

Harnett County, NC

0

39005.

Ashland County, OH

0

48287.

Lee County, TX

0

20035.

Cowley County, KS

0

27121.

Pope County, MN

0

30015.

Chouteau County, MT

0

34041.

Warren County, NJ

0

27103.

Nicollet County, MN

0

21143.

Lyon County, KY

0

56001.

Albany County, WY

0

48263.

Kent County, TX

0

1097.

Mobile County, AL

0

23019.

Penobscot County, ME

0

47081.

Hickman County, TN

0

13121.

Fulton County, GA

0

49011.

Davis County, UT

0

42045.

Delaware County, PA

0

48253.

Jones County, TX

0

54021.

Gilmer County, WV

0

48049.

Brown County, TX

0

16029.

Caribou County, ID

0

19085.

Harrison County, IA

0

21093.

Hardin County, KY

0

17155.

Putnam County, IL

0

39011.

Auglaize County, OH

0

55027.

Dodge County, WI

0

29205.

Shelby County, MO

0

42117.

Tioga County, PA

0

30003.

Big Horn County, MT

0

36011.

Cayuga County, NY

0

53075.

Whitman County, WA

0

20119.

Meade County, KS

0

46035.

Davison County, SD

0

13219.

Oconee County, GA

0

26165.

Wexford County, MI

0

13127.

Glynn County, GA

0

37109.

Lincoln County, NC

0

8085.

Montrose County, CO

0

22125.

West Feliciana Parish, LA

0

40027.

Cleveland County, OK

0

51081.

Greensville County, VA

0

30061.

Mineral County, MT

0

28007.

Attala County, MS

0

55061.

Kewaunee County, WI

0

35051.

Sierra County, NM

0

17183.

Vermilion County, IL

0

26073.

Isabella County, MI

0

20127.

Morris County, KS

0

22003.

Allen Parish, LA

0

27111.

Otter Tail County, MN

0

42067.

Juniata County, PA

0

21107.

Hopkins County, KY

0

49037.

San Juan County, UT

0

6097.

Sonoma County, CA

0

48437.

Swisher County, TX

0

55105.

Rock County, WI

0

29127.

Marion County, MO

0

48309.

McLennan County, TX

0

48153.

Floyd County, TX

0

48497.

Wise County, TX

0

47057.

Grainger County, TN

0

18173.

Warrick County, IN

0

27039.

Dodge County, MN

0

36085.

Richmond County, NY

0

22055.

Lafayette Parish, LA

0

36103.

Suffolk County, NY

0

21033.

Caldwell County, KY

0

21025.

Breathitt County, KY

0

13199.

Meriwether County, GA

0

27065.

Kanabec County, MN

0

47145.

Roane County, TN

0

13147.

Hart County, GA

0

48365.

Panola County, TX

0

48373.

Polk County, TX

0

21235.

Whitley County, KY

0

28147.

Walthall County, MS

0

18019.

Clark County, IN

0

40007.

Beaver County, OK

0

29109.

Lawrence County, MO

0

40131.

Rogers County, OK

0

46065.

Hughes County, SD

0

29085.

Hickory County, MO

0

18111.

Newton County, IN

0

39017.

Butler County, OH

0

17085.

Jo Daviess County, IL

0

18075.

Jay County, IN

0

42103.

Pike County, PA

0

5037.

Cross County, AR

0

35057.

Torrance County, NM

0

19029.

Cass County, IA

0

13225.

Peach County, GA

0

1055.

Etowah County, AL

0

13251.

Screven County, GA

0

30029.

Flathead County, MT

0

1131.

Wilcox County, AL

0

26119.

Montmorency County, MI

0

36009.

Cattaraugus County, NY

0

6013.

Contra Costa County, CA

0

34033.

Salem County, NJ

0

13241.

Rabun County, GA

0

51550.

Chesapeake city, VA

0

21157.

Marshall County, KY

0

51770.

Roanoke city, VA

0

22103.

St. Tammany Parish, LA

0

17073.

Henry County, IL

0

19121.

Madison County, IA

0

16007.

Bear Lake County, ID

0

13293.

Upson County, GA

0

19009.

Audubon County, IA

0

26095.

Luce County, MI

0

27013.

Blue Earth County, MN

0

54019.

Fayette County, WV

0

26133.

Osceola County, MI

0

16023.

Butte County, ID

0

34037.

Sussex County, NJ

0

31005.

Arthur County, NE

0

48459.

Upshur County, TX

0

48093.

Comanche County, TX

0

40117.

Pawnee County, OK

0

28047.

Harrison County, MS

0

29061.

Daviess County, MO

0

26101.

Manistee County, MI

0

12071.

Lee County, FL

0

54047.

McDowell County, WV

0

30047.

Lake County, MT

0

47083.

Houston County, TN

0

6023.

Humboldt County, CA

0

49051.

Wasatch County, UT

0

13139.

Hall County, GA

0

37161.

Rutherford County, NC

0

27153.

Todd County, MN

0

51065.

Fluvanna County, VA

0

5069.

Jefferson County, AR

0

17095.

Knox County, IL

0

29147.

Nodaway County, MO

0

5111.

Poinsett County, AR

0

47077.

Henderson County, TN

0

17093.

Kendall County, IL

0

13017.

Ben Hill County, GA

0

29217.

Vernon County, MO

0

51530.

Buena Vista city, VA

0

51083.

Halifax County, VA

0

30045.

Judith Basin County, MT

0

48147.

Fannin County, TX

0

38039.

Griggs County, ND

0

48057.

Calhoun County, TX

0

18125.

Pike County, IN

0

19153.

Polk County, IA

0

19113.

Linn County, IA

0

13177.

Lee County, GA

0

26021.

Berrien County, MI

0

35011.

De Baca County, NM

0

42047.

Elk County, PA

0

41019.

Douglas County, OR

0

45041.

Florence County, SC

0

47151.

Scott County, TN

0

31185.

York County, NE

0

51071.

Giles County, VA

0

51005.

Alleghany County, VA

0

8083.

Montezuma County, CO

0

48001.

Anderson County, TX

0

29151.

Osage County, MO

0

20079.

Harvey County, KS

0

40127.

Pushmataha County, OK

0

6093.

Siskiyou County, CA

0

6047.

Merced County, CA

0

29229.

Wright County, MO

0

55127.

Walworth County, WI

0

17159.

Richland County, IL

0

26069.

Iosco County, MI

0

13247.

Rockdale County, GA

0

18115.

Ohio County, IN

0

29089.

Howard County, MO

0

28095.

Monroe County, MS

0

37033.

Caswell County, NC

0

53059.

Skamania County, WA

0

37163.

Sampson County, NC

0

51167.

Russell County, VA

0

13185.

Lowndes County, GA

0

47045.

Dyer County, TN

0

51093.

Isle of Wight County, VA

0

29139.

Montgomery County, MO

0

38059.

Morton County, ND

0

18137.

Ripley County, IN

0

27045.

Fillmore County, MN

0

1111.

Randolph County, AL

0

51193.

Westmoreland County, VA

0

27055.

Houston County, MN

0

1013.

Butler County, AL

0

20193.

Thomas County, KS

0

49013.

Duchesne County, UT

0

35001.

Bernalillo County, NM

0

8075.

Logan County, CO

0

37019.

Brunswick County, NC

0

18179.

Wells County, IN

0

53061.

Snohomish County, WA

0

48055.

Caldwell County, TX

0

47129.

Morgan County, TN

0

47089.

Jefferson County, TN

0

34009.

Cape May County, NJ

0

48227.

Howard County, TX

0

39143.

Sandusky County, OH

0

49043.

Summit County, UT

0

51670.

Hopewell city, VA

0

38053.

McKenzie County, ND

0

53049.

Pacific County, WA

0

55025.

Dane County, WI

0

5131.

Sebastian County, AR

0

13109.

Evans County, GA

0

48405.

San Augustine County, TX

0

51595.

Emporia city, VA

0

40081.

Lincoln County, OK

0

27117.

Pipestone County, MN

0

31009.

Blaine County, NE

0

5135.

Sharp County, AR

0

8101.

Pueblo County, CO

0

31099.

Kearney County, NE

0

19193.

Woodbury County, IA

0

38061.

Mountrail County, ND

0

13057.

Cherokee County, GA

0

17047.

Edwards County, IL

0

13089.

DeKalb County, GA

0

26045.

Eaton County, MI

0

38051.

McIntosh County, ND

0

37191.

Wayne County, NC

0

6067.

Sacramento County, CA

0

27011.

Big Stone County, MN

0

1041.

Crenshaw County, AL

0

46045.

Edmunds County, SD

0

21121.

Knox County, KY

0

56035.

Sublette County, WY

0

17089.

Kane County, IL

0

37141.

Pender County, NC

0

48161.

Freestone County, TX

0

13279.

Toombs County, GA

0

47167.

Tipton County, TN

0

12047.

Hamilton County, FL

0

31023.

Butler County, NE

0

22091.

St. Helena Parish, LA

0

40051.

Grady County, OK

0

48077.

Clay County, TX

0

51047.

Culpeper County, VA

0

13229.

Pierce County, GA

0

18143.

Scott County, IN

0

17165.

Saline County, IL

0

6095.

Solano County, CA

0

54017.

Doddridge County, WV

0

48323.

Maverick County, TX

0

8113.

San Miguel County, CO

0

42013.

Blair County, PA

0

18147.

Spencer County, IN

0

12001.

Alachua County, FL

0

19117.

Lucas County, IA

0

21209.

Scott County, KY

0

36065.

Oneida County, NY

0

28129.

Smith County, MS

0

30051.

Liberty County, MT

0

24027.

Howard County, MD

0

39117.

Morrow County, OH

0

47135.

Perry County, TN

0

42073.

Lawrence County, PA

0

21127.

Lawrence County, KY

0

41039.

Lane County, OR

0

48473.

Waller County, TX

0

55077.

Marquette County, WI

0

48043.

Brewster County, TX

0

36089.

St. Lawrence County, NY

0

42115.

Susquehanna County, PA

0

20137.

Norton County, KS

0

31059.

Fillmore County, NE

0

12121.

Suwannee County, FL

0

51049.

Cumberland County, VA

0

48457.

Tyler County, TX

0

13021.

Bibb County, GA

0

55045.

Green County, WI

0

53055.

San Juan County, WA

0

48141.

El Paso County, TX

0

16015.

Boise County, ID

0

53015.

Cowlitz County, WA

0

8123.

Weld County, CO

0

49025.

Kane County, UT

0

8115.

Sedgwick County, CO

0

47043.

Dickson County, TN

0

39097.

Madison County, OH

0

5013.

Calhoun County, AR

0

16027.

Canyon County, ID

0

31045.

Dawes County, NE

0

26129.

Ogemaw County, MI

0

48173.

Glasscock County, TX

0

47117.

Marshall County, TN

0

29179.

Reynolds County, MO

0

21137.

Lincoln County, KY

0

49005.

Cache County, UT

0

36005.

Bronx County, NY

0

22121.

West Baton Rouge Parish, LA

0

12011.

Broward County, FL

0

51131.

Northampton County, VA

0

22097.

St. Landry Parish, LA

0

24041.

Talbot County, MD

0

19183.

Washington County, IA

0

13115.

Floyd County, GA

0

36079.

Putnam County, NY

0

48341.

Moore County, TX

0

41001.

Baker County, OR

0

53029.

Island County, WA

0

20051.

Ellis County, KS

0

12107.

Putnam County, FL

0

31081.

Hamilton County, NE

0

45085.

Sumter County, SC

0

37173.

Swain County, NC

0

48087.

Collingsworth County, TX

0

26075.

Jackson County, MI

0

45023.

Chester County, SC

0

17051.

Fayette County, IL

0

22041.

Franklin Parish, LA

0

44007.

Providence County, RI

0

17031.

Cook County, IL

0

31139.

Pierce County, NE

0

20155.

Reno County, KS

0

36017.

Chenango County, NY

0

21129.

Lee County, KY

0

40107.

Okfuskee County, OK

0

40001.

Adair County, OK

0

25025.

Suffolk County, MA

0

5091.

Miller County, AR

0

42083.

McKean County, PA

0

23029.

Washington County, ME

0

20123.

Mitchell County, KS

0

22025.

Catahoula Parish, LA

0

41053.

Polk County, OR

0

20131.

Nemaha County, KS

0

6001.

Alameda County, CA

0

35031.

McKinley County, NM

0

18087.

LaGrange County, IN

0

51023.

Botetourt County, VA

0

29165.

Platte County, MO

0

48449.

Titus County, TX

0

5095.

Monroe County, AR

0

42037.

Columbia County, PA

0

29017.

Bollinger County, MO

0

12133.

Washington County, FL

0

51087.

Henrico County, VA

0

17059.

Gallatin County, IL

0

55097.

Portage County, WI

0

37175.

Transylvania County, NC

0

1125.

Tuscaloosa County, AL

0

37127.

Nash County, NC

0

20125.

Montgomery County, KS

0

55031.

Douglas County, WI

0

55039.

Fond du Lac County, WI

0

50017.

Orange County, VT

0

17137.

Morgan County, IL

0

46103.

Pennington County, SD

0

48089.

Colorado County, TX

0

29117.

Livingston County, MO

0

27071.

Koochiching County, MN

0

21061.

Edmonson County, KY

0

55001.

Adams County, WI

0

13011.

Banks County, GA

0

5093.

Mississippi County, AR

0

53005.

Benton County, WA

0

24011.

Caroline County, MD

0

54107.

Wood County, WV

0

40067.

Jefferson County, OK

0

42007.

Beaver County, PA

0

55121.

Trempealeau County, WI

0

42131.

Wyoming County, PA

0

30033.

Garfield County, MT

0

17105.

Livingston County, IL

0

16079.

Shoshone County, ID

0

37169.

Stokes County, NC

0

16043.

Fremont County, ID

0

37071.

Gaston County, NC

0

19175.

Union County, IA

0

53011.

Clark County, WA

0

37051.

Cumberland County, NC

0

21071.

Floyd County, KY

0

19079.

Hamilton County, IA

0

39013.

Belmont County, OH

0

40025.

Cimarron County, OK

0

20081.

Haskell County, KS

0

38071.

Ramsey County, ND

0

42091.

Montgomery County, PA

0

5147.

Woodruff County, AR

0

39029.

Columbiana County, OH

0

12099.

Palm Beach County, FL

0

17201.

Winnebago County, IL

0

16047.

Gooding County, ID

0

11001.

District of Columbia, DC

0

13257.

Stephens County, GA

0

31119.

Madison County, NE

0

40065.

Jackson County, OK

0

54035.

Jackson County, WV

0

51197.

Wythe County, VA

0

31073.

Gosper County, NE

0

5003.

Ashley County, AR

0

12055.

Highlands County, FL

0

8037.

Eagle County, CO

0

54063.

Monroe County, WV

0

40017.

Canadian County, OK

0

48399.

Runnels County, TX

0

29033.

Carroll County, MO

0

40047.

Garfield County, OK

0

53067.

Thurston County, WA

0

54097.

Upshur County, WV

0

41043.

Linn County, OR

0

39173.

Wood County, OH

0

46097.

Miner County, SD

0

40101.

Muskogee County, OK

0

53053.

Pierce County, WA

0

16067.

Minidoka County, ID

0

29057.

Dade County, MO

0

20077.

Harper County, KS

0

48073.

Cherokee County, TX

0

51620.

Franklin city, VA

0

21173.

Montgomery County, KY

0

39023.

Clark County, OH

0

48411.

San Saba County, TX

0

5011.

Bradley County, AR

0

22037.

East Feliciana Parish, LA

0

6029.

Kern County, CA

0

28005.

Amite County, MS

0

26081.

Kent County, MI

0

24033.

Prince George’s County, MD

0

5027.

Columbia County, AR

0

31015.

Boyd County, NE

0

45059.

Laurens County, SC

0

29177.

Ray County, MO

0

22059.

La Salle Parish, LA

0

26113.

Missaukee County, MI

0

20013.

Brown County, KS

0

54007.

Braxton County, WV

0

48099.

Coryell County, TX

0

6003.

Alpine County, CA

0

30057.

Madison County, MT

0

48271.

Kinney County, TX

0

36019.

Clinton County, NY

0

41013.

Crook County, OR

0

6075.

San Francisco County, CA

0

12073.

Leon County, FL

0

49041.

Sevier County, UT

0

27003.

Anoka County, MN

0

29001.

Adair County, MO

0

39027.

Clinton County, OH

0

29051.

Cole County, MO

0

40059.

Harper County, OK

0

5139.

Union County, AR

0

12053.

Hernando County, FL

0

48273.

Kleberg County, TX

0

39105.

Meigs County, OH

0

36055.

Monroe County, NY

0

56005.

Campbell County, WY

0

48167.

Galveston County, TX

0

53073.

Whatcom County, WA

0

26111.

Midland County, MI

0

39145.

Scioto County, OH

0

29007.

Audrain County, MO

0

5055.

Greene County, AR

0

46067.

Hutchinson County, SD

0

29005.

Atchison County, MO

0

55131.

Washington County, WI

0

8105.

Rio Grande County, CO

0

37015.

Bertie County, NC

0

16037.

Custer County, ID

0

28021.

Claiborne County, MS

0

51147.

Prince Edward County, VA

0

24013.

Carroll County, MD

0

8097.

Pitkin County, CO

0

48139.

Ellis County, TX

0

37187.

Washington County, NC

0

48085.

Collin County, TX

0

26005.

Allegan County, MI

0

48275.

Knox County, TX

0

42099.

Perry County, PA

0

42107.

Schuylkill County, PA

0

29011.

Barton County, MO

0

17087.

Johnson County, IL

0

6035.

Lassen County, CA

0

1121.

Talladega County, AL

0

48335.

Mitchell County, TX

0

47161.

Stewart County, TN

0

51113.

Madison County, VA

0

6103.

Tehama County, CA

0

36071.

Orange County, NY

0

13049.

Charlton County, GA

0

40133.

Seminole County, OK

0

55035.

Eau Claire County, WI

0

20031.

Coffey County, KS

0

47123.

Monroe County, TN

0

45031.

Darlington County, SC

0

25019.

Nantucket County, MA

0

54109.

Wyoming County, WV

0

19081.

Hancock County, IA

0

48027.

Bell County, TX

0

26157.

Tuscola County, MI

0

51133.

Northumberland County, VA

0

21123.

Larue County, KY

0

51073.

Gloucester County, VA

0

26057.

Gratiot County, MI

0

29137.

Monroe County, MO

0

30093.

Silver Bow County, MT

0

1117.

Shelby County, AL

0

13167.

Johnson County, GA

0

37171.

Surry County, NC

0

42111.

Somerset County, PA

0

28073.

Lamar County, MS

0

18003.

Allen County, IN

0

27133.

Rock County, MN

0

17197.

Will County, IL

0

28023.

Clarke County, MS

0

12041.

Gilchrist County, FL

0

13173.

Lanier County, GA

0

29023.

Butler County, MO

0

36031.

Essex County, NY

0

6099.

Stanislaus County, CA

0

48375.

Potter County, TX

0

18091.

LaPorte County, IN

0

46059.

Hand County, SD

0

28053.

Humphreys County, MS

0

51710.

Norfolk city, VA

0

18135.

Randolph County, IN

0

18039.

Elkhart County, IN

0

20069.

Gray County, KS

0

23017.

Oxford County, ME

0

20163.

Rooks County, KS

0

21149.

McLean County, KY

0

13161.

Jeff Davis County, GA

0

54027.

Hampshire County, WV

0

47033.

Crockett County, TN

0

34035.

Somerset County, NJ

0

46119.

Sully County, SD

0

48329.

Midland County, TX

0

48179.

Gray County, TX

0

41017.

Deschutes County, OR

0

17127.

Massac County, IL

0

29009.

Barry County, MO

0

46005.

Beadle County, SD

0

40035.

Craig County, OK

0

12027.

DeSoto County, FL

0

20153.

Rawlins County, KS

0

33011.

Hillsborough County, NH

0

21211.

Shelby County, KY

0

20189.

Stevens County, KS

0

29081.

Harrison County, MO

0

22011.

Beauregard Parish, LA

0

37153.

Richmond County, NC

0

28025.

Clay County, MS

0

41057.

Tillamook County, OR

0

19095.

Iowa County, IA

0

40143.

Tulsa County, OK

0

28083.

Leflore County, MS

0

29101.

Johnson County, MO

0

42133.

York County, PA

0

37003.

Alexander County, NC

0

12079.

Madison County, FL

0

38099.

Walsh County, ND

0

8001.

Adams County, CO

0

50005.

Caledonia County, VT

0

1017.

Chambers County, AL

0

42051.

Fayette County, PA

0

27027.

Clay County, MN

0

8041.

El Paso County, CO

0

18079.

Jennings County, IN

0

40041.

Delaware County, OK

0

21225.

Union County, KY

0

37097.

Iredell County, NC

0

51117.

Mecklenburg County, VA

0

41069.

Wheeler County, OR

0

48177.

Gonzales County, TX

0

1011.

Bullock County, AL

0

21083.

Graves County, KY

0

6051.

Mono County, CA

0

26051.

Gladwin County, MI

0

21101.

Henderson County, KY

0

47177.

Warren County, TN

0

29067.

Douglas County, MO

0

40093.

Major County, OK

0

29149.

Oregon County, MO

0

31137.

Phelps County, NE

0

22093.

St. James Parish, LA

0

24001.

Allegany County, MD

0

21001.

Adair County, KY

0

16013.

Blaine County, ID

0

18157.

Tippecanoe County, IN

0

46011.

Brookings County, SD

0

19197.

Wright County, IA

0

19071.

Fremont County, IA

0

19167.

Sioux County, IA

0

21119.

Knott County, KY

0

37125.

Moore County, NC

0

48011.

Armstrong County, TX

0

48029.

Bexar County, TX

0

27043.

Faribault County, MN

0

1053.

Escambia County, AL

0

48247.

Jim Hogg County, TX

0

40075.

Kiowa County, OK

0

51143.

Pittsylvania County, VA

0

35045.

San Juan County, NM

0

35043.

Sandoval County, NM

0

8063.

Kit Carson County, CO

0

54009.

Brooke County, WV

0

12017.

Citrus County, FL

0

36081.

Queens County, NY

0

37199.

Yancey County, NC

0

54023.

Grant County, WV

0

19165.

Shelby County, IA

0

37053.

Currituck County, NC

0

51155.

Pulaski County, VA

0

28057.

Itawamba County, MS

0

18065.

Henry County, IN

0

49053.

Washington County, UT

0

29079.

Grundy County, MO

0

29065.

Dent County, MO

0

39109.

Miami County, OH

0

26049.

Genesee County, MI

0

27131.

Rice County, MN

0

49015.

Emery County, UT

0

39113.

Montgomery County, OH

0

28155.

Webster County, MS

0

13313.

Whitfield County, GA

0

22043.

Grant Parish, LA

0

37039.

Cherokee County, NC

0

36041.

Hamilton County, NY

0

28069.

Kemper County, MS

0

8045.

Garfield County, CO

0

17045.

Edgar County, IL

0

23015.

Lincoln County, ME

0

39049.

Franklin County, OH

0

29113.

Lincoln County, MO

0

37101.

Johnston County, NC

0

51105.

Lee County, VA

0

31017.

Brown County, NE

0

12067.

Lafayette County, FL

0

21085.

Grayson County, KY

0

42025.

Carbon County, PA

0

13171.

Lamar County, GA

0

37005.

Alleghany County, NC

0

21053.

Clinton County, KY

0

8019.

Clear Creek County, CO

0

51061.

Fauquier County, VA

0

51730.

Petersburg city, VA

0

22015.

Bossier Parish, LA

0

13237.

Putnam County, GA

0

39161.

Van Wert County, OH

0

36113.

Warren County, NY

0

17019.

Champaign County, IL

0

47003.

Bedford County, TN

0

55139.

Winnebago County, WI

0

48307.

McCulloch County, TX

0

20139.

Osage County, KS

0

48383.

Reagan County, TX

0

33005.

Cheshire County, NH

0

29167.

Polk County, MO

0

27165.

Watonwan County, MN

0

19051.

Davis County, IA

0

31031.

Cherry County, NE

0

29225.

Webster County, MO

0

39043.

Erie County, OH

0

21145.

McCracken County, KY

0

39147.

Seneca County, OH

0

22115.

Vernon Parish, LA

0

46043.

Douglas County, SD

0

39163.

Vinton County, OH

0

47091.

Johnson County, TN

0

31097.

Johnson County, NE

0

27057.

Hubbard County, MN

0

22111.

Union Parish, LA

0

55103.

Richland County, WI

0

45055.

Kershaw County, SC

0

56025.

Natrona County, WY

0

56021.

Laramie County, WY

0

20073.

Greenwood County, KS

0

48361.

Orange County, TX

0

31047.

Dawson County, NE

0

31039.

Cuming County, NE

0

9015.

Windham County, CT

0

29019.

Boone County, MO

0

36043.

Herkimer County, NY

0

21153.

Magoffin County, KY

0

6073.

San Diego County, CA

0

5005.

Baxter County, AR

0

22079.

Rapides Parish, LA

0

13267.

Tattnall County, GA

0

21197.

Powell County, KY

0

51800.

Suffolk city, VA

0

13255.

Spalding County, GA

0

28077.

Lawrence County, MS

0

1019.

Cherokee County, AL

0

48163.

Frio County, TX

0

39089.

Licking County, OH

0

47013.

Campbell County, TN

0

27033.

Cottonwood County, MN

0

36059.

Nassau County, NY

0

19131.

Mitchell County, IA

0

48061.

Cameron County, TX

0

29169.

Pulaski County, MO

0

5127.

Scott County, AR

0

20029.

Cloud County, KS

0

48455.

Trinity County, TX

0

13081.

Crisp County, GA

0

22101.

St. Mary Parish, LA

0

51025.

Brunswick County, VA

0

32023.

Nye County, NV

0

48415.

Scurry County, TX

0

45065.

McCormick County, SC

0

40021.

Cherokee County, OK

0

45005.

Allendale County, SC

0

38049.

McHenry County, ND

0

38043.

Kidder County, ND

0

34011.

Cumberland County, NJ

0

55041.

Forest County, WI

0

38055.

McLean County, ND

0

36083.

Rensselaer County, NY

0

31061.

Franklin County, NE

0

13029.

Bryan County, GA

0

12033.

Escambia County, FL

0

19111.

Lee County, IA

0

54033.

Harrison County, WV

0

42015.

Bradford County, PA

0

5059.

Hot Spring County, AR

0

41031.

Jefferson County, OR

0

19015.

Boone County, IA

0

12063.

Jackson County, FL

0

33007.

Coos County, NH

0

36015.

Chemung County, NY

0

35035.

Otero County, NM

0

6045.

Mendocino County, CA

0

54089.

Summers County, WV

0

40109.

Oklahoma County, OK

0

21077.

Gallatin County, KY

0

18109.

Morgan County, IN

0

21207.

Russell County, KY

0

8109.

Saguache County, CO

0

56003.

Big Horn County, WY

0

53003.

Asotin County, WA

0

35005.

Chaves County, NM

0

20115.

Marion County, KS

0

51079.

Greene County, VA

0

37147.

Pitt County, NC

0

48191.

Hall County, TX

0

48417.

Shackelford County, TX

0

28091.

Marion County, MS

0

46033.

Custer County, SD

0

12049.

Hardee County, FL

0

18061.

Harrison County, IN

0

1109.

Pike County, AL

0

45045.

Greenville County, SC

0

34023.

Middlesex County, NJ

0

16075.

Payette County, ID

0

55011.

Buffalo County, WI

0

48427.

Starr County, TX

0

28059.

Jackson County, MS

0

46127.

Union County, SD

0

37149.

Polk County, NC

0

36111.

Ulster County, NY

0

29037.

Cass County, MO

0

8099.

Prowers County, CO

0

4003.

Cochise County, AZ

0

13189.

McDuffie County, GA

0

1033.

Colbert County, AL

0

36063.

Niagara County, NY

0

21159.

Martin County, KY

0

6081.

San Mateo County, CA

0

42003.

Allegheny County, PA

0

42079.

Luzerne County, PA

0

21091.

Hancock County, KY

0

30111.

Yellowstone County, MT

0

25021.

Norfolk County, MA

0

18165.

Vermillion County, IN

0

5015.

Carroll County, AR

0

48193.

Hamilton County, TX

0

46109.

Roberts County, SD

0

18099.

Marshall County, IN

0

38027.

Eddy County, ND

0

55119.

Taylor County, WI

0

55017.

Chippewa County, WI

0

47023.

Chester County, TN

0

25017.

Middlesex County, MA

0

17001.

Adams County, IL

0

55049.

Iowa County, WI

0

21073.

Franklin County, KY

0

17145.

Perry County, IL

0

37157.

Rockingham County, NC

0

48123.

DeWitt County, TX

0

48293.

Limestone County, TX

0

39119.

Muskingum County, OH

0

27109.

Olmsted County, MN

0

49047.

Uintah County, UT

0

13035.

Butts County, GA

0

20057.

Ford County, KS

0

18103.

Miami County, IN

0

48469.

Victoria County, TX

0

42001.

Adams County, PA

0

30027.

Fergus County, MT

0

28159.

Winston County, MS

0

22073.

Ouachita Parish, LA

0

27051.

Grant County, MN

0

5017.

Chicot County, AR

0

40139.

Texas County, OK

0

26115.

Monroe County, MI

0

19129.

Mills County, IA

0

18037.

Dubois County, IN

0

18167.

Vigo County, IN

0

36117.

Wayne County, NY

0

1101.

Montgomery County, AL

0

21075.

Fulton County, KY

0

41023.

Grant County, OR

0

20147.

Phillips County, KS

0

31089.

Holt County, NE

0

34027.

Morris County, NJ

0

13103.

Effingham County, GA

0

13305.

Wayne County, GA

0

13175.

Laurens County, GA

0

53063.

Spokane County, WA

0

21013.

Bell County, KY

0

17171.

Scott County, IL

0

55029.

Door County, WI

0

8035.

Douglas County, CO

0

13191.

McIntosh County, GA

0

37195.

Wilson County, NC

0

34021.

Mercer County, NJ

0

13033.

Burke County, GA

0

1099.

Monroe County, AL

0

25007.

Dukes County, MA

0

49033.

Rich County, UT

0

18001.

Adams County, IN

0

23011.

Kennebec County, ME

0

47017.

Carroll County, TN

0

55085.

Oneida County, WI

0

17133.

Monroe County, IL

0

29133.

Mississippi County, MO

0

31177.

Washington County, NE

0

29055.

Crawford County, MO

0

22067.

Morehouse Parish, LA

0

21193.

Perry County, KY

0

24005.

Baltimore County, MD

0

37083.

Halifax County, NC

0

5063.

Independence County, AR

0

28139.

Tippah County, MS

0

27143.

Sibley County, MN

0

13025.

Brantley County, GA

0

27001.

Aitkin County, MN

0

55087.

Outagamie County, WI

0

13159.

Jasper County, GA

0

18077.

Jefferson County, IN

0

29029.

Camden County, MO

0

47067.

Hancock County, TN

0

28101.

Newton County, MS

0

55091.

Pepin County, WI

0

26123.

Newaygo County, MI

0

39095.

Lucas County, OH

0

42033.

Clearfield County, PA

0

17041.

Douglas County, IL

0

1089.

Madison County, AL

0

35039.

Rio Arriba County, NM

0

25001.

Barnstable County, MA

0

12129.

Wakulla County, FL

0

16005.

Bannock County, ID

0

20067.

Grant County, KS

0

32021.

Mineral County, NV

0

20053.

Ellsworth County, KS

0

5123.

St. Francis County, AR

0

31025.

Cass County, NE

0

30023.

Deer Lodge County, MT

0

48501.

Yoakum County, TX

0

16003.

Adams County, ID

0

38067.

Pembina County, ND

0

32007.

Elko County, NV

0

40037.

Creek County, OK

0

55021.

Columbia County, WI

0

13283.

Treutlen County, GA

0

35059.

Union County, NM

0

46129.

Walworth County, SD

0

8051.

Gunnison County, CO

0

48233.

Hutchinson County, TX

0

1081.

Lee County, AL

0

25003.

Berkshire County, MA

0

36047.

Kings County, NY

0

29087.

Holt County, MO

0

16081.

Teton County, ID

0

19105.

Jones County, IA

0

48257.

Kaufman County, TX

0

28043.

Grenada County, MS

0

12087.

Monroe County, FL

0

42057.

Fulton County, PA

0

40129.

Roger Mills County, OK

0

13291.

Union County, GA

0

54103.

Wetzel County, WV

0

19039.

Clarke County, IA

0

26065.

Ingham County, MI

0

1001.

Autauga County, AL

0

1015.

Calhoun County, AL

0

16009.

Benewah County, ID

0

48091.

Comal County, TX

0

30091.

Sheridan County, MT

0

19109.

Kossuth County, IA

0

41049.

Morrow County, OR

0

20039.

Decatur County, KS

0

24043.

Washington County, MD

0

51007.

Amelia County, VA

0

20149.

Pottawatomie County, KS

0

41041.

Lincoln County, OR

0

51590.

Danville city, VA

0

47131.

Obion County, TN

0

13169.

Jones County, GA

0

24035.

Queen Anne’s County, MD

0

28103.

Noxubee County, MS

0

51103.

Lancaster County, VA

0

26109.

Menominee County, MI

0

17109.

McDonough County, IL

0

27075.

Lake County, MN

0

17107.

Logan County, IL

0

19043.

Clayton County, IA

0

48069.

Castro County, TX

0

13235.

Pulaski County, GA

0

42009.

Bedford County, PA

0

5009.

Boone County, AR

0

55059.

Kenosha County, WI

0

27017.

Carlton County, MN

0

35009.

Curry County, NM

0

48071.

Chambers County, TX

0

35027.

Lincoln County, NM

0

31161.

Sheridan County, NE

0

37061.

Duplin County, NC

0

32005.

Douglas County, NV

0

29221.

Washington County, MO

0

5105.

Perry County, AR

0

53019.

Ferry County, WA

0

23031.

York County, ME

0

20175.

Seward County, KS

0

48467.

Van Zandt County, TX

0

55113.

Sawyer County, WI

0

28135.

Tallahatchie County, MS

0

4013.

Maricopa County, AZ

0

21079.

Garrard County, KY

0

13063.

Clayton County, GA

0

39155.

Trumbull County, OH

0

27171.

Wright County, MN

0

39051.

Fulton County, OH

0

36119.

Westchester County, NY

0

8069.

Larimer County, CO

0

26085.

Lake County, MI

0

47185.

White County, TN

0

21165.

Menifee County, KY

0

16063.

Lincoln County, ID

0

12127.

Volusia County, FL

0

18177.

Wayne County, IN

0

37041.

Chowan County, NC

0

1079.

Lawrence County, AL

0

12023.

Columbia County, FL

0

47111.

Macon County, TN

0

16077.

Power County, ID

0

20095.

Kingman County, KS

0

20107.

Linn County, KS

0

13317.

Wilkes County, GA

0

27157.

Wabasha County, MN

0

6061.

Placer County, CA

0

51111.

Lunenburg County, VA

0

18033.

DeKalb County, IN

0

48369.

Parmer County, TX

0

21063.

Elliott County, KY

0

48031.

Blanco County, TX

0

29071.

Franklin County, MO

0

17011.

Bureau County, IL

0

21181.

Nicholas County, KY

0

19191.

Winneshiek County, IA

0

17067.

Hancock County, IL

0

13111.

Fannin County, GA

0

13023.

Bleckley County, GA

0

51650.

Hampton city, VA

0

17115.

Macon County, IL

0

55083.

Oconto County, WI

0

17017.

Cass County, IL

0

18051.

Gibson County, IN

0

29039.

Cedar County, MO

0

47047.

Fayette County, TN

0

40089.

McCurtain County, OK

0

27021.

Cass County, MN

0

32013.

Humboldt County, NV

0

38035.

Grand Forks County, ND

0

39137.

Putnam County, OH

0

37013.

Beaufort County, NC

0

42059.

Greene County, PA

0

46077.

Kingsbury County, SD

0

18175.

Washington County, IN

0

19027.

Carroll County, IA

0

21147.

McCreary County, KY

0

13295.

Walker County, GA

0

13065.

Clinch County, GA

0

47069.

Hardeman County, TN

0

47173.

Union County, TN

0

29105.

Laclede County, MO

0

45079.

Richland County, SC

0

19065.

Fayette County, IA

0

1049.

DeKalb County, AL

0

31093.

Howard County, NE

0

29219.

Warren County, MO

0

49023.

Juab County, UT

0

27029.

Clearwater County, MN

0

22013.

Bienville Parish, LA

0

29043.

Christian County, MO

0

37181.

Vance County, NC

0

32003.

Clark County, NV

0

13249.

Schley County, GA

0

34013.

Essex County, NJ

0

39007.

Ashtabula County, OH

0

5049.

Fulton County, AR

0

29115.

Linn County, MO

0

47105.

Loudon County, TN

0

17119.

Madison County, IL

0

39039.

Defiance County, OH

0

5001.

Arkansas County, AR

0

13193.

Macon County, GA

0

19179.

Wapello County, IA

0

18011.

Boone County, IN

0

51085.

Hanover County, VA

0

42065.

Jefferson County, PA

0

27077.

Lake of the Woods County, MN

0

48175.

Goliad County, TX

0

22127.

Winn Parish, LA

0

5053.

Grant County, AR

0

33015.

Rockingham County, NH

0

54101.

Webster County, WV

0

8015.

Chaffee County, CO

0

56039.

Teton County, WY

0

55101.

Racine County, WI

0

31109.

Lancaster County, NE

0

38065.

Oliver County, ND

0

26153.

Schoolcraft County, MI

0

26059.

Hillsdale County, MI

0

19031.

Cedar County, IA

0

4017.

Navajo County, AZ

0

12075.

Levy County, FL

0

48213.

Henderson County, TX

0

47119.

Maury County, TN

0

36001.

Albany County, NY

0

4009.

Graham County, AZ

0

13181.

Lincoln County, GA

0

20117.

Marshall County, KS

0

39153.

Summit County, OH

0

31095.

Jefferson County, NE

0

28161.

Yalobusha County, MS

0

47109.

McNairy County, TN

0

51680.

Lynchburg city, VA

0

17191.

Wayne County, IL

0

39071.

Highland County, OH

0

30055.

McCone County, MT

0

42027.

Centre County, PA

0

1129.

Washington County, AL

0

1045.

Dale County, AL

0

28039.

George County, MS

0

39077.

Huron County, OH

0

51660.

Harrisonburg city, VA

0

51043.

Clarke County, VA

0

42123.

Warren County, PA

0

51121.

Montgomery County, VA

0

48197.

Hardeman County, TX

0

29131.

Miller County, MO

0

27081.

Lincoln County, MN

0

47125.

Montgomery County, TN

0

51095.

James City County, VA

0

29181.

Ripley County, MO

0

41035.

Klamath County, OR

0

22049.

Jackson Parish, LA

0

39001.

Adams County, OH

0

26009.

Antrim County, MI

0

30085.

Roosevelt County, MT

0

31181.

Webster County, NE

0

40069.

Johnston County, OK

0

48495.

Winkler County, TX

0

48407.

San Jacinto County, TX

0

56017.

Hot Springs County, WY

0

48143.

Erath County, TX

0

48117.

Deaf Smith County, TX

0

21047.

Christian County, KY

0

21057.

Cumberland County, KY

0

21183.

Ohio County, KY

0

19155.

Pottawattamie County, IA

0

24019.

Dorchester County, MD

0

51735.

Poquoson city, VA

0

5103.

Ouachita County, AR

0

12065.

Jefferson County, FL

0

18029.

Dearborn County, IN

0

48241.

Jasper County, TX

0

30007.

Broadwater County, MT

0

31141.

Platte County, NE

0

39083.

Knox County, OH

0

27009.

Benton County, MN

0

48363.

Palo Pinto County, TX

0

26145.

Saginaw County, MI

0

27113.

Pennington County, MN

0

13071.

Colquitt County, GA

0

48367.

Parker County, TX

0

36091.

Saratoga County, NY

0

6043.

Mariposa County, CA

0

19005.

Allamakee County, IA

0

16041.

Franklin County, ID

0

51640.

Galax city, VA

0

39131.

Pike County, OH

0

40011.

Blaine County, OK

0

20197.

Wabaunsee County, KS

0

21237.

Wolfe County, KY

0

48051.

Burleson County, TX

0

44005.

Newport County, RI

0

39171.

Williams County, OH

0

18035.

Delaware County, IN

0

39139.

Richland County, OH

0

18145.

Shelby County, IN

0

41009.

Columbia County, OR

0

20183.

Smith County, KS

0

9003.

Hartford County, CT

0

28119.

Quitman County, MS

0

48135.

Ector County, TX

0

18055.

Greene County, IN

0

37129.

New Hanover County, NC

0

17079.

Jasper County, IL

0

16057.

Latah County, ID

0

26027.

Cass County, MI

0

19145.

Page County, IA

0

50027.

Windsor County, VT

0

50015.

Lamoille County, VT

0

18017.

Cass County, IN

0

28027.

Coahoma County, MS

0

20151.

Pratt County, KS

0

27125.

Red Lake County, MN

0

21219.

Todd County, KY

0

16069.

Nez Perce County, ID

0

56043.

Washakie County, WY

0

54087.

Roane County, WV

0

31063.

Frontier County, NE

0

54001.

Barbour County, WV

0

47063.

Hamblen County, TN

0

50001.

Addison County, VT

0

42125.

Washington County, PA

0

26011.

Arenac County, MI

0

31079.

Hall County, NE

0

49029.

Morgan County, UT

0

40031.

Comanche County, OK

0

36057.

Montgomery County, NY

0

6015.

Del Norte County, CA

0

29111.

Lewis County, MO

0

13281.

Towns County, GA

0

13005.

Bacon County, GA

0

48339.

Montgomery County, TX

0

13015.

Bartow County, GA

0

46037.

Day County, SD

0

29201.

Scott County, MO

0

19101.

Jefferson County, IA

0

19093.

Ida County, IA

0

1091.

Marengo County, AL

0

12091.

Okaloosa County, FL

0

31065.

Furnas County, NE

0

19141.

O’Brien County, IA

0

29161.

Phelps County, MO

0

13321.

Worth County, GA

0

21099.

Hart County, KY

0

21191.

Pendleton County, KY

0

26063.

Huron County, MI

0

16031.

Cassia County, ID

0

8121.

Washington County, CO

0

17189.

Washington County, IL

0

56031.

Platte County, WY

0

5113.

Polk County, AR

0

18005.

Bartholomew County, IN

0

49007.

Carbon County, UT

0

17161.

Rock Island County, IL

0

29063.

DeKalb County, MO

0

17021.

Christian County, IL

0

13019.

Berrien County, GA

0

36123.

Yates County, NY

0

36095.

Schoharie County, NY

0

39107.

Mercer County, OH

0

50003.

Bennington County, VT

0

46019.

Butte County, SD

0

22045.

Iberia Parish, LA

0

27159.

Wadena County, MN

0

13123.

Gilmer County, GA

0

53033.

King County, WA

0

33001.

Belknap County, NH

0

54015.

Clay County, WV

0

25015.

Hampshire County, MA

0

37133.

Onslow County, NC

0

54075.

Pocahontas County, WV

0

55125.

Vilas County, WI

0

26105.

Mason County, MI

0

18181.

White County, IN

0

45003.

Aiken County, SC

0

29189.

St. Louis County, MO

0

30005.

Blaine County, MT

0

29003.

Andrew County, MO

0

28137.

Tate County, MS

0

54029.

Hancock County, WV

0

56011.

Crook County, WY

0

12117.

Seminole County, FL

0

30001.

Beaverhead County, MT

0

54079.

Putnam County, WV

0

18071.

Jackson County, IN

0

48181.

Grayson County, TX

0

25027.

Worcester County, MA

0

29021.

Buchanan County, MO

0

40061.

Haskell County, OK

0

1087.

Macon County, AL

0

12115.

Sarasota County, FL

0

21141.

Logan County, KY

0

18049.

Fulton County, IN

0

20177.

Shawnee County, KS

0

46049.

Faulk County, SD

0

39025.

Clermont County, OH

0

12119.

Sumter County, FL

0

22019.

Calcasieu Parish, LA

0

21155.

Marion County, KY

0

1113.

Russell County, AL

0

13269.

Taylor County, GA

0

29223.

Wayne County, MO

0

37043.

Clay County, NC

0

27025.

Chisago County, MN

0

29141.

Morgan County, MO

0

47049.

Fentress County, TN

0

19163.

Scott County, IA

0

21125.

Laurel County, KY

0

24029.

Kent County, MD

0

19011.

Benton County, IA

0

54067.

Nicholas County, WV

0

18063.

Hendricks County, IN

0

54093.

Tucker County, WV

0

18097.

Marion County, IN

0

19001.

Adair County, IA

0

40105.

Nowata County, OK

0

37119.

Mecklenburg County, NC

0

53017.

Douglas County, WA

0

38025.

Dunn County, ND

0

4021.

Pinal County, AZ

0

48507.

Zavala County, TX

0

20009.

Barton County, KS

0

35015.

Eddy County, NM

0

48395.

Robertson County, TX

0

17203.

Woodford County, IL

0

13299.

Ware County, GA

0

29097.

Jasper County, MO

0

30105.

Valley County, MT

0

26039.

Crawford County, MI

0

31051.

Dixon County, NE

0

30067.

Park County, MT

0

28003.

Alcorn County, MS

0

51181.

Surry County, VA

0

55069.

Lincoln County, WI

0

20169.

Saline County, KS

0

39037.

Darke County, OH

0

4011.

Greenlee County, AZ

0

1023.

Choctaw County, AL

0

18093.

Lawrence County, IN

0

31121.

Merrick County, NE

0

38057.

Mercer County, ND

0

41065.

Wasco County, OR

0

48249.

Jim Wells County, TX

0

27105.

Nobles County, MN

0

17009.

Brown County, IL

0

40141.

Tillman County, OK

0

19187.

Webster County, IA

0

17179.

Tazewell County, IL

0

51077.

Grayson County, VA

0

55055.

Jefferson County, WI

0

48171.

Gillespie County, TX

0

55133.

Waukesha County, WI

0

37067.

Forsyth County, NC

0

26159.

Van Buren County, MI

0

50025.

Windham County, VT

0

54081.

Raleigh County, WV

0

42119.

Union County, PA

0

28113.

Pike County, MS

0

31151.

Saline County, NE

0

5117.

Prairie County, AR

0

48133.

Eastland County, TX

0

54025.

Greenbrier County, WV

0

21097.

Harrison County, KY

0

20023.

Cheyenne County, KS

0

18043.

Floyd County, IN

0

26107.

Mecosta County, MI

0

21199.

Pulaski County, KY

0

56033.

Sheridan County, WY

0

45087.

Union County, SC

0

12039.

Gadsden County, FL

0

20097.

Kiowa County, KS

0

46093.

Meade County, SD

0

47149.

Rutherford County, TN

0

21111.

Jefferson County, KY

0

29091.

Howell County, MO

0

13093.

Dooly County, GA

0

39019.

Carroll County, OH

0

27151.

Swift County, MN

0

19195.

Worth County, IA

0

29187.

St. Francois County, MO

0

17149.

Pike County, IL

0

23021.

Piscataquis County, ME

0

49031.

Piute County, UT

0

29049.

Clinton County, MO

0

47053.

Gibson County, TN

0

53071.

Walla Walla County, WA

0

18095.

Madison County, IN

0

5143.

Washington County, AR

0

53025.

Grant County, WA

0

17169.

Schuyler County, IL

0

12037.

Franklin County, FL

0

12009.

Brevard County, FL

0

36013.

Chautauqua County, NY

0

8065.

Lake County, CO

0

18009.

Blackford County, IN

0

37025.

Cabarrus County, NC

0

48281.

Lampasas County, TX

0

20133.

Neosho County, KS

0

41063.

Wallowa County, OR

0

42087.

Mifflin County, PA

0

8117.

Summit County, CO

0

31027.

Cedar County, NE

0

54085.

Ritchie County, WV

0

31055.

Douglas County, NE

0

36121.

Wyoming County, NY

0

17147.

Piatt County, IL

0

45039.

Fairfield County, SC

0

8029.

Delta County, CO

0

6019.

Fresno County, CA

0

54065.

Morgan County, WV

0

27037.

Dakota County, MN

0

12003.

Baker County, FL

0

55079.

Milwaukee County, WI

0

47155.

Sevier County, TN

0

55023.

Crawford County, WI

0

6009.

Calaveras County, CA

0

47029.

Cocke County, TN

0

29186.

Ste. Genevieve County, MO

0

46031.

Corson County, SD

0

28013.

Calhoun County, MS

0

47027.

Clay County, TN

0

37023.

Burke County, NC

0

21195.

Pike County, KY

0

23007.

Franklin County, ME

0

17153.

Pulaski County, IL

0

46113.

Shannon County, SD

0

35053.

Socorro County, NM

0

12089.

Nassau County, FL

0

40003.

Alfalfa County, OK

0

50007.

Chittenden County, VT

0

26149.

St. Joseph County, MI

0

39015.

Brown County, OH

0

37009.

Ashe County, NC

0

36097.

Schuyler County, NY

0

39093.

Lorain County, OH

0

36077.

Otsego County, NY

0

1093.

Marion County, AL

0

5029.

Conway County, AR

0

23023.

Sagadahoc County, ME

0

21231.

Wayne County, KY

0

47007.

Bledsoe County, TN

0

12095.

Orange County, FL

0

45057.

Lancaster County, SC

0

53013.

Columbia County, WA

0

6111.

Ventura County, CA

0

50011.

Franklin County, VT

0

48445.

Terry County, TX

0

21135.

Lewis County, KY

0

46083.

Lincoln County, SD

0

22109.

Terrebonne Parish, LA

0

13113.

Fayette County, GA

0

26135.

Oscoda County, MI

0

48359.

Oldham County, TX

0

20205.

Wilson County, KS

0

51015.

Augusta County, VA

0

22105.

Tangipahoa Parish, LA

0

47095.

Lake County, TN

0

46051.

Grant County, SD

0

1035.

Conecuh County, AL

0

6115.

Yuba County, CA

0

54037.

Jefferson County, WV

0

6089.

Shasta County, CA

0

6107.

Tulare County, CA

0

1083.

Limestone County, AL

0

17055.

Franklin County, IL

0

28085.

Lincoln County, MS

0

26125.

Oakland County, MI

0

53077.

Yakima County, WA

0

51031.

Campbell County, VA

0

13001.

Appling County, GA

0

12111.

St. Lucie County, FL

0

51161.

Roanoke County, VA

0

26131.

Ontonagon County, MI

0

36115.

Washington County, NY

0

55063.

La Crosse County, WI

0

40115.

Ottawa County, OK

0

46095.

Mellette County, SD

0

47133.

Overton County, TN

0

30035.

Glacier County, MT

0

22119.

Webster Parish, LA

0

26097.

Mackinac County, MI

0

51790.

Staunton city, VA

0

33019.

Sullivan County, NH

0

51171.

Shenandoah County, VA

0

22063.

Livingston Parish, LA

0

6027.

Inyo County, CA

0

21031.

Butler County, KY

0

26047.

Emmet County, MI

0

10001.

Kent County, DE

0

48209.

Hays County, TX

0

6091.

Sierra County, CA

0

24023.

Garrett County, MD

0

47015.

Cannon County, TN

0

48435.

Sutton County, TX

0

39127.

Perry County, OH

0

48007.

Aransas County, TX

0

45015.

Berkeley County, SC

0

54049.

Marion County, WV

0

21011.

Bath County, KY

0

30049.

Lewis and Clark County, MT

0

21035.

Calloway County, KY

0

21007.

Ballard County, KY

0

13047.

Catoosa County, GA

0

39103.

Medina County, OH

0

20141.

Osborne County, KS

0

45071.

Newberry County, SC

0

18021.

Clay County, IN

0

5033.

Crawford County, AR

0

26161.

Washtenaw County, MI

0

6083.

Santa Barbara County, CA

0

39087.

Lawrence County, OH

0

31049.

Deuel County, NE

0

47171.

Unicoi County, TN

0

48475.

Ward County, TX

0

29015.

Benton County, MO

0

40095.

Marshall County, OK

0

17103.

Lee County, IL

0

40023.

Choctaw County, OK

0

29209.

Stone County, MO

0

20161.

Riley County, KS

0

21095.

Harlan County, KY

0

40049.

Garvin County, OK

0

40085.

Love County, OK

0

37155.

Robeson County, NC

0

51600.

Fairfax city, VA

0

28107.

Panola County, MS

0

36073.

Orleans County, NY

0

54031.

Hardy County, WV

0

28109.

Pearl River County, MS

0

19049.

Dallas County, IA

0

55129.

Washburn County, WI

0

26061.

Houghton County, MI

0

8043.

Fremont County, CO

0

48503.

Young County, TX

0

41051.

Multnomah County, OR

0

39079.

Jackson County, OH

0

13231.

Pike County, GA

0

46053.

Gregory County, SD

0

55081.

Monroe County, WI

0

40071.

Kay County, OK

0

38013.

Burke County, ND

0

40045.

Ellis County, OK

0

37035.

Catawba County, NC

0

1039.

Covington County, AL

0

36067.

Onondaga County, NY

0

13043.

Candler County, GA

0

17163.

St. Clair County, IL

0

12123.

Taylor County, FL

0

16059.

Lemhi County, ID

0

40145.

Wagoner County, OK

0

9001.

Fairfield County, CT

0

50019.

Orleans County, VT

0

27067.

Kandiyohi County, MN

0

20103.

Leavenworth County, KS

0

9007.

Middlesex County, CT

0

1029.

Cleburne County, AL

0

55089.

Ozaukee County, WI

0

42093.

Montour County, PA

0

5149.

Yell County, AR

0

54055.

Mercer County, WV

0

28093.

Marshall County, MS

0

47005.

Benton County, TN

0

19035.

Cherokee County, IA

0

40033.

Cotton County, OK

0

8089.

Otero County, CO

0

54105.

Wirt County, WV

0

35055.

Taos County, NM

0

47179.

Washington County, TN

0

27149.

Stevens County, MN

0

55107.

Rusk County, WI

0

19033.

Cerro Gordo County, IA

0

22029.

Concordia Parish, LA

0

39081.

Jefferson County, OH

0

19137.

Montgomery County, IA

0

48371.

Pecos County, TX

0

1027.

Clay County, AL

0

48315.

Marion County, TX

0

48131.

Duval County, TX

0

37123.

Montgomery County, NC

0

51540.

Charlottesville city, VA

0

51009.

Amherst County, VA

0

20165.

Rush County, KS

0

48239.

Jackson County, TX

0

13051.

Chatham County, GA

0

21115.

Johnson County, KY

0

1069.

Houston County, AL

0

22031.

De Soto Parish, LA

0

48505.

Zapata County, TX

0

21003.

Allen County, KY

0

56041.

Uinta County, WY

0

13205.

Mitchell County, GA

0

8107.

Routt County, CO

0

51013.

Arlington County, VA

0

40123.

Pontotoc County, OK

0

37031.

Carteret County, NC

0

19161.

Sac County, IA

0

25013.

Hampden County, MA

0

45035.

Dorchester County, SC

0

13143.

Haralson County, GA

0

48023.

Baylor County, TX

0

48353.

Nolan County, TX

0

13201.

Miller County, GA

0

34025.

Monmouth County, NJ

0

48349.

Navarro County, TX

0

48285.

Lavaca County, TX

0

51820.

Waynesboro city, VA

0

48223.

Hopkins County, TX

0

51017.

Bath County, VA

0

20113.

McPherson County, KS

0

54041.

Lewis County, WV

0

5101.

Newton County, AR

0

21005.

Anderson County, KY

0

39045.

Fairfield County, OH

0

48343.

Morris County, TX

0

45053.

Jasper County, SC

0

18133.

Putnam County, IN

0

17075.

Iroquois County, IL

0

53057.

Skagit County, WA

0

18081.

Johnson County, IN

0

9009.

New Haven County, CT

0

8033.

Dolores County, CO

0

19067.

Floyd County, IA

0

33003.

Carroll County, NH

0

20135.

Ness County, KS

0

1115.

St. Clair County, AL

0

49021.

Iron County, UT

0

39141.

Ross County, OH

0

46061.

Hanson County, SD

0

45067.

Marion County, SC

0

19149.

Plymouth County, IA

0

48097.

Cooke County, TX

0

47075.

Haywood County, TN

0

30043.

Jefferson County, MT

0

54077.

Preston County, WV

0

16071.

Oneida County, ID

0

18151.

Steuben County, IN

0

20157.

Republic County, KS

0

40091.

McIntosh County, OK

0

1047.

Dallas County, AL

0

39003.

Allen County, OH

0

29157.

Perry County, MO

0

20001.

Allen County, KS

0

18123.

Perry County, IN

0

29153.

Ozark County, MO

0

5043.

Drew County, AR

0

12097.

Osceola County, FL

0

17061.

Greene County, IL

0

30025.

Fallon County, MT

0

1073.

Jefferson County, AL

0

18107.

Montgomery County, IN

0

48113.

Dallas County, TX

0

21233.

Webster County, KY

0

23009.

Hancock County, ME

0

22005.

Ascension Parish, LA

0

29077.

Greene County, MO

0

46009.

Bon Homme County, SD

0

37197.

Yadkin County, NC

0

41071.

Yamhill County, OR

0

39101.

Marion County, OH

0

51175.

Southampton County, VA

0

53065.

Stevens County, WA

0

41025.

Harney County, OR

0

22065.

Madison Parish, LA

0

13195.

Madison County, GA

0

40077.

Latimer County, OK

0

27091.

Martin County, MN

0

31105.

Kimball County, NE

0

45017.

Calhoun County, SC

0

22035.

East Carroll Parish, LA

0

31175.

Valley County, NE

0

41007.

Clatsop County, OR

0

47169.

Trousdale County, TN

0

49035.

Salt Lake County, UT

0

21171.

Monroe County, KY

0

37165.

Scotland County, NC

0

55099.

Price County, WI

0

5119.

Pulaski County, AR

0

48489.

Willacy County, TX

0

36037.

Genesee County, NY

0

4005.

Coconino County, AZ

0

42095.

Northampton County, PA

0

45025.

Chesterfield County, SC

0

5085.

Lonoke County, AR

0

26139.

Ottawa County, MI

0

51169.

Scott County, VA

0

29203.

Shannon County, MO

0

42101.

Philadelphia County, PA

0

20055.

Finney County, KS

0

17065.

Hamilton County, IL

0

8093.

Park County, CO

0

27015.

Brown County, MN

0

51141.

Patrick County, VA

0

51195.

Wise County, VA

0

51165.

Rockingham County, VA

0

22087.

St. Bernard Parish, LA

0

13027.

Brooks County, GA

0

48159.

Franklin County, TX

0

37107.

Lenoir County, NC

0

17117.

Macoupin County, IL

0

54071.

Pendleton County, WV

0

20105.

Lincoln County, KS

0

19185.

Wayne County, IA

0

37189.

Watauga County, NC

0

35006.

Cibola County, NM

0

13285.

Troup County, GA

0

13271.

Telfair County, GA

0

13253.

Seminole County, GA

0

20109.

Logan County, KS

0

13151.

Henry County, GA

0

13141.

Hancock County, GA

0

22075.

Plaquemines Parish, LA

0

29197.

Schuyler County, MO

0

55115.

Shawano County, WI

0

13307.

Webster County, GA

0

39151.

Stark County, OH

0

54053.

Mason County, WV

0

46029.

Codington County, SD

0

40063.

Hughes County, OK

0

21023.

Bracken County, KY

0

48047.

Brooks County, TX

0

39165.

Warren County, OH

0

6007.

Butte County, CA

0

37137.

Pamlico County, NC

0

20089.

Jewell County, KS

0

28133.

Sunflower County, MS

0

48451.

Tom Green County, TX

0

21087.

Green County, KY

0

48463.

Uvalde County, TX

0

28051.

Holmes County, MS

0

55141.

Wood County, WI

0

29031.

Cape Girardeau County, MO

0

26155.

Shiawassee County, MI

0

27053.

Hennepin County, MN

0

51580.

Covington city, VA

0

1077.

Lauderdale County, AL

0

48251.

Johnson County, TX

0

30099.

Teton County, MT

0

5073.

Lafayette County, AR

0

18171.

Warren County, IN

0

31013.

Box Butte County, NE

0

48479.

Webb County, TX

0

8039.

Elbert County, CO

0

37073.

Gates County, NC

0

1037.

Coosa County, AL

0

17121.

Marion County, IL

0

38089.

Stark County, ND

0

45021.

Cherokee County, SC

0

51045.

Craig County, VA

0

31165.

Sioux County, NE

0

33017.

Strafford County, NH

0

37185.

Warren County, NC

0

40039.

Custer County, OK

0

19041.

Clay County, IA

0

47025.

Claiborne County, TN

0

4025.

Yavapai County, AZ

0

38037.

Grant County, ND

0

31011.

Boone County, NE

0

37059.

Davie County, NC

0

29155.

Pemiscot County, MO

0

48165.

Gaines County, TX

0

6017.

El Dorado County, CA

0

54091.

Taylor County, WV

0

49055.

Wayne County, UT

0

12031.

Duval County, FL

0

30079.

Prairie County, MT

0

48013.

Atascosa County, TX

0

54003.

Berkeley County, WV

0

21213.

Simpson County, KY

0

31145.

Red Willow County, NE

0

1067.

Henry County, AL

0

13083.

Dade County, GA

0

26067.

Ionia County, MI

0

55057.

Juneau County, WI

0

55093.

Pierce County, WI

0

48187.

Guadalupe County, TX

0

45029.

Colleton County, SC

0

53009.

Clallam County, WA

0

12057.

Hillsborough County, FL

0

51119.

Middlesex County, VA

0

38021.

Dickey County, ND

0

36109.

Tompkins County, NY

0

16021.

Boundary County, ID

0

1095.

Marshall County, AL

0

17173.

Shelby County, IL

0

17015.

Carroll County, IL

0

27079.

Le Sueur County, MN

0

5075.

Lawrence County, AR

0

6087.

Santa Cruz County, CA

0

31131.

Otoe County, NE

0

46047.

Fall River County, SD

0

48255.

Karnes County, TX

0

19125.

Marion County, IA

0

18023.

Clinton County, IN

0

29069.

Dunklin County, MO

0

51037.

Charlotte County, VA

0

13091.

Dodge County, GA

0

20173.

Sedgwick County, KS

0

48217.

Hill County, TX

0

21133.

Letcher County, KY

0

35041.

Roosevelt County, NM

0

13013.

Barrow County, GA

0

17057.

Fulton County, IL

0

24037.

St. Mary’s County, MD

0

29025.

Caldwell County, MO

0

18089.

Lake County, IN

0

30087.

Rosebud County, MT

0

48065.

Carson County, TX

0

21103.

Henry County, KY

0

Variable Format: numeric

Notes: UNF:5:VSE00FzsW5gnbol//XkHvw==

Zip Code (Estimated From Phone)

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:w/MPkYwar6rTiai/ZBZdAg==

Zip Code (Reported by Respondent)

f2529479 Location:

Value

Label

Frequency

Text

99999.

Refused

0

99998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:XbKIC5bVZkGApi5VYnBAug==

Urbanity

f2529479 Location:

Value

Label

Frequency

Text

2.

Suburban

1225

1.

Urban

725

3.

Rural

575

Variable Format: numeric

Notes: UNF:5:xJIlB1lyztzWTIInDeZ3fg==

Media Market

f2529479 Location:

Value

Label

Frequency

Text

532.

Albany–Schenectady–Troy (MA, NY, VT)

14

678.

Wichita–Hutchinson Plus (KS)

12

625.

Waco–Temple–Bryan (TX)

14

569.

Harrisonburg (VA, WV)

4

530.

Tallahassee–Thomasville (FL, GA)

6

616.

Kansas City (KS, MO)

16

555.

Syracuse (NY)

10

527.

Indianapolis (IN)

37

644.

Alexandria (LA)

2

524.

Atlanta (AL, GA, NC)

49

570.

Myrtle Beach–Florence (NC, SC)

4

820.

Portland (OR, WA)

29

633.

Odessa–Midland (TX)

3

798.

Glendive (MT)

0

517.

Charlotte (NC, SC)

25

507.

Savannah (GA, SC)

3

576.

Salisbury (DE, MD)

4

581.

Terre Haute (IL, IN)

1

881.

Spokane (ID, MT, OR, WA)

8

709.

Tyler–Longview (TX)

6

574.

Johnstown–Altoona (PA)

10

508.

Pittsburgh (MD, PA, WV)

48

577.

Wilkes Barre–Scranton (PA)

14

718.

Jackson (MS)

6

605.

Topeka (KS)

4

759.

Cheyenne–Scottsbluff (NE, WY)

4

790.

Albuquerque–Santa Fe (AZ, CO, NM)

10

650.

Oklahoma City (OK)

8

502.

Binghamton (NY)

2

536.

Youngstown (OH, PA)

8

612.

Shreveport (AR, LA, OK, TX)

9

538.

Rochester (NY)

11

559.

Bluefield–Beckley–Oak Hill (VA, WV)

6

543.

Springfield–Holyoke (MA)

10

537.

Bangor (ME)

3

670.

Fort Smith–Fay–Springdale (AR, OK)

7

604.

Columbia–Jefferson City (MO)

3

758.

Idaho Falls–Pocatello (ID, WY)

2

534.

Orlando–Daytona Beach–Melbourne (FL)

24

549.

Watertown (NY)

1

752.

Colorado Springs–Pueblo (CO)

6

515.

Cincinnati (IN, KY, OH)

24

600.

Corpus Christi (TX)

5

767.

Casper–Riverton (WY)

1

520.

Augusta (GA, SC)

8

613.

Minneapolis–St. Paul (MN, WI)

47

643.

Lake Charles (LA)

2

561.

Jacksonville (FL, GA)

12

634.

Amarillo (NM, OK, TX)

2

504.

Philadelphia (DE, NJ, PA)

67

533.

Hartford–New Haven (CT)

21

755.

Great Falls (MT)

0

819.

Seattle–Tacoma (WA)

47

657.

Sherman–Ada (OK, TX)

2

523.

Burlington–Plattsburgh (NH, NY, VT)

8

598.

Clarksburg–Weston (WV)

3

740.

North Platte (NE)

1

641.

San Antonio (TX)

12

510.

Cleveland–Akron (OH)

35

749.

Laredo (TX)

1

770.

Salt Lake City (ID, NV, UT, WY)

24

764.

Rapid City (NE, SD, WY)

1

588.

South Bend–Elkhart (IN, MI)

9

821.

Bend (OR)

1

521.

Providence–New Bedford (MA, RI)

12

705.

Wausau–Rhinelander (WI)

8

669.

Madison (WI)

9

627.

Wichita Falls–Lawton (OK, TX)

9

642.

Lafayette (LA)

7

635.

Austin (TX)

15

682.

Davenport–Rock Island–Moline (IA, IL)

10

540.

Traverse City–Cadillac (MI)

6

828.

Monterey–Salinas (CA)

5

765.

El Paso (NM, TX)

9

506.

Boston (MA, NH, VT)

52

659.

Nashville (KY, TN)

16

807.

San Francisco–Oakland–San Jose (CA)

49

509.

Fort Wayne (IN, OH)

16

583.

Alpena (MI)

1

630.

Birmingham (AL)

20

648.

Champaign–Springfield–Decatur (IL)

10

802.

Eureka (CA)

3

717.

Quincy–Hannibal–Keokuk (IA, IL, MO)

1

531.

Tri-Cities (KY, TN, VA)

8

771.

Yuma–El Centro (AZ, CA)

3

698.

Montgomery (AL)

5

632.

Paducah–Cape Girardeau–Harrisburg (IL, KY, MO, TN)

6

753.

Phoenix (AZ)

28

679.

Des Moines–Ames (IA)

16

722.

Lincoln–Hastings–Kearney Plus (KS, NE)

4

528.

Miami–Fort Lauderdale (FL)

22

602.

Chicago (IL, IN)

50

546.

Columbia (SC)

8

544.

Norfolk–Portsmouth–Newport News (NC, VA)

14

773.

Grand Junction–Montrose (CO)

0

514.

Buffalo (NY, PA)

18

789.

Tucson–Sierra Vista (AZ)

10

626.

Victoria (TX)

1

597.

Parkersburg (OH, WV)

1

800.

Bakersfield (CA)

2

760.

Twin Falls (ID)

5

610.

Rockford (IL)

3

693.

Little Rock–Pine Bluff (AR)

15

565.

Elmira (NY, PA)

3

539.

Tampa–St. Petersburg–Sarasota (FL)

31

737.

Mankato (MN)

0

619.

Springfield (AR, MO)

10

542.

Dayton (IN, OH)

13

525.

Albany (GA)

1

757.

Boise (ID, OR)

5

855.

Santa Barbara–San Mar–San Luis Obispo (CA)

4

554.

Wheeling–Steubenville (OH, WV)

3

624.

Sioux City (IA, NE, SD)

6

518.

Greensboro–High Point–Winston Salem (NC, VA)

23

638.

St. Joseph (KS, MO)

1

617.

Milwaukee (WI)

31

724.

Fargo–Valley City (MN, ND)

6

609.

St. Louis (IL, MO)

31

647.

Greenwood–Greenville (AR, MS)

2

662.

Abilene–Sweetwater (TX)

4

545.

Greenville–New Bern–Washington (NC)

5

649.

Evansville (IL, IN, KY)

7

551.

Lansing (MI)

3

547.

Toledo (MI, OH)

6

522.

Columbus (AL, GA)

3

673.

Columbus–Tupelo–West Point (AL, MS)

4

825.

San Diego (CA)

25

526.

Utica (NY)

2

702.

La Crosse–Eau Claire (MN, WI)

9

658.

Green Bay–Appleton (MI, WI)

18

535.

Columbus (OH)

23

560.

Raleigh–Durham (NC, VA)

23

656.

Panama City (FL)

2

862.

Sacramento–Stockton–Modesto (CA)

43

636.

Harlingen–Weslaco–Brownsville (TX)

4

505.

Detroit (MI)

33

571.

Fort Myers–Naples (FL)

10

868.

Chico–Redding (CA)

1

611.

Rochester–Mason City–Austin (IA, MN)

4

661.

San Angelo (TX)

3

573.

Roanoke–Lynchburg (VA)

17

639.

Jackson (TN)

3

736.

Bowling Green (KY)

2

691.

Huntsville–Decatur–Florence (AL, TN)

13

566.

Harrisburg–Lancaster–Lebanon–York (PA)

18

592.

Gainesville (FL)

2

734.

Jonesboro (AR, MO)

4

519.

Charleston (SC)

10

751.

Denver (CO, NE, WY)

22

637.

Cedar Rapids–Waterloo–Dubuque (IA)

5

618.

Houston (TX)

32

512.

Baltimore (MD)

24

550.

Wilmington (NC)

3

541.

Lexington (KY)

17

675.

Peoria–Bloomington (IL)

8

687.

Minot–Bismarck–Dickinson (MT, ND, SD)

6

575.

Chattanooga (GA, NC, TN)

16

582.

Lafayette (IN)

4

671.

Tulsa (KS, OK)

14

801.

Eugene (OR)

3

676.

Duluth–Superior (MI, MN, WI)

6

556.

Richmond–Petersburg (VA)

18

711.

Meridian (AL, MS)

2

584.

Charlottesville (VA)

2

623.

Dallas–Fort Worth (TX)

51

746.

Biloxi–Gulfport (MS)

4

710.

Hattiesburg–Laurel (MS)

2

811.

Reno (CA, NV)

8

692.

Beaumont–Port Arthur (TX)

1

716.

Baton Rouge (LA, MS)

7

501.

New York (CT, NJ, NY, PA)

129

866.

Fresno–Visalia (CA)

14

766.

Helena (MT)

1

839.

Las Vegas (NV)

18

754.

Butte–Bozeman (MT)

1

652.

Omaha (IA, MO, NE)

9

628.

Monroe–El Dorado (AR, LA)

2

810.

Yakima–Pasco–Richland–Kennewick (OR, WA)

7

500.

Portland–Auburn (ME, NH)

6

596.

Zanesville (OH)

1

725.

Sioux Falls (IA, MN, NE, SD)

8

558.

Lima (OH)

5

756.

Billings (MT, WY)

5

553.

Marquette (MI, WI)

0

603.

Joplin–Pittsburg (KS, MO, OK)

7

513.

Flint–Saginaw–Bay City (MI)

10

803.

Los Angeles (CA)

117

529.

Louisville (IN, KY)

17

552.

Presque Isle (ME)

1

686.

Mobile–Pensacola (AL, FL, MS)

12

813.

Medford–Klamath Falls (CA, OR)

8

503.

Macon (GA)

3

606.

Dothan (AL, GA)

5

516.

Erie (PA)

6

563.

Grand Rapids–Kalamazoo–Battle Creek (MI)

13

622.

New Orleans (LA, MS)

11

640.

Memphis (AR, MS, TN)

14

511.

Washington (DC, MD, PA, VA, WV)

50

548.

West Palm Beach–Fort Pierce (FL)

12

762.

Missoula (MT)

1

567.

Greenville–Spartanburg–Asheville (GA, NC, SC)

27

557.

Knoxville (KY, TN)

8

651.

Lubbock (TX)

3

631.

Ottumwa–Kirksville (IA, MO)

3

564.

Charleston–Huntington (KY, OH, WV)

12

Variable Format: numeric

Notes: UNF:5:oXTpKin6NNdGuHXKwAfzFg==

Phone Landlines in Household

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

54

Variable Format: numeric

Notes: UNF:5:cSitVJHC27+jlJE6JoZY0w==

Have Cell Phone

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

6

2.

Same

30

1.

Different

1702

999.

Refused

54

3.

Do not have cell phone

733

Variable Format: numeric

Notes: UNF:5:12VRH+62JfNBuR+bG/wC4A==

Anyone in Household Owns Gun (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

53

1.

Yes

966

2.

No

1502

998.

Don’t know

4

Variable Format: numeric

Notes: UNF:5:HagK85s/95iItPjuyeVIRQ==

Anyone in Household Owns Gun (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

4.

No one owns firearm

0

3.

Both respondent and other household member

0

2.

Other household member

0

999.

Refused

0

998.

Don’t know

0

1.

Yes, respondent

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Anyone in Household Belongs to NRA (Wording #1)

f2529479 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

22

1.

Yes

192

2.

No

751

Variable Format: numeric

Notes: UNF:5:SA7To3LuB+YFSRBt9hCeYw==

Anyone in Household Belongs to NRA (Wording #2)

f2529479 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:rymQ6pjdNpyu8DDyol+9OQ==

Know of Someone Gay or Lesbian

f2529479 Location:

Value

Label

Frequency

Text

3.

Respondent is gay or lesbian

1

998.

Don’t know

10

1.

Yes

416

2.

No

415

999.

Refused

19

Variable Format: numeric

Notes: UNF:5:WUah9+9DQ/is1OaIxFWbBw==

Interviewer ID

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:8yN49S4DFzjwxQ7Oe63VLw==

Interviewer Sex

f2529479 Location:

Value

Label

Frequency

Text

2.

Female

1646

1.

Male

879

Variable Format: numeric

Notes: UNF:5:Pnu3CxxMcgjFEVcH+k5Wkw==

Interviewer Race

f2529479 Location:

Value

Label

Frequency

Text

4.

Other

286

1.

White

1655

3.

Asian

21

2.

Black

563

Variable Format: numeric

Notes: UNF:5:yx9LMMgXnvqoKWJzTmqR5g==

Interview Language

f2529479 Location:

Value

Label

Frequency

Text

1.

English

2450

2.

Spanish

75

Variable Format: numeric

Notes: UNF:5:s1sgwP0TYcZ70IHRbIguCg==

Interviewer’s Evaluation of Interview Overall

f2529479 Location:

Value

Label

Frequency

Text

4.

D, poor

68

5.

F, very poor

21

1.

A, excellent

1114

999.

No data

7

3.

C, average

239

2.

B, good

1076

Variable Format: numeric

Notes: UNF:5:UkdmsKu2OH560yfcmQPsrQ==

Interviewer’s Evaluation of Respondent’s Political Knowledge

f2529479 Location:

Value

Label

Frequency

Text

999.

No data

9

5.

F, very poor

72

4.

D, poor

189

1.

A, excellent

727

3.

C, average

528

2.

B, good

1000

Variable Format: numeric

Notes: UNF:5:BQKv9SAWJyxcLgeeRY86Pg==

ruling

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:knU8T27q3GO8CJUhXulC0A==

gayfavor

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Gu5uQ27GHgjG/lBuBTIUnQ==

xtianfavor

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Fukc/RQhx2M3lsbcFLzeVA==

protfavor

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:K/gdzzauk5l8Ikzh7vWnQw==

gmfavor

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:TAGYMmuf6iYoCSiPqFcuOQ==

direction

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Pa7Uoa88i3mFMLUPgOonkw==

morals

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:tOMOxLnsuAPYW1xK4hnJfA==

gop

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Q4HRvTQqUKOlIWY4M7Keyg==

democrat

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:5rQy70K0bEHGixFID3AtaQ==

protestant

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:OR6vgixX3Be7kEFDjkpMPQ==

mormon

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:JHJxidFDUzN2y0pSgxG7GQ==

catholic

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:JFpG3JUSWwfCF3cmIMNl+g==

bornagain

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:4sjKPW+YGxgEWmy7C/fbYw==

howoften

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:MgcMW7QoTW0WfFGezyfp3w==

mass

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:o+DFLDLh5TRPK9y2ONstsg==

florida

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:y09zBZBaGB3cngp4c7iR6A==

california

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:NEdQc3Y63mqRAsn+eXHjqg==

iowa

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:1btSpm5qSK8begrjGpvK+Q==

white

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:dPdcHVgCTC0FjBYkmY0jLg==

black

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:pCvvXqq16RPjQDiWl4zOHw==

hispanic

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:yLC8G/DRwEpUonXMNsom2Q==

female

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:ZfvDN0INnKehb3jOO3eAPA==

age

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:jVRhe8nvBRFNUA+Cs7zUJg==

liberalism

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:FOPcnMQfqZItUpMEGi5uaA==

moderate

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:kM6C4sWdvpXP/79Kq7Zv3w==

vpcorr

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:z7cikamkaxCD7uB4VjjSOQ==

sccorr

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:5Cv8CMne8y4cVdOSxRJkKg==

vetocorr

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:nSi92dWtmsMaBy0XMIy9sA==

housecorr

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:Db/xFwD+ywyauwn7Gr2xdw==

knowindex

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:1LcOjpOkPghhW6bdYDLkbQ==

unsophisticated

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:BS0F4SZ0b1FaORyTk0gw5A==

fmamdtoppose2

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:4NXUXbRWne17EDPsUKrKNw==

FMAintensity2

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:pHcdMZuavdJw2w7ft7CPvQ==

intendtovote

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:ZJSt9gH1zMuMZos3I4FLOw==

registered

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:rVzPgeSLJhLHlQZ3hZlKBA==

consbornagain

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:A/meGw9SA9LLESGtzEPq9A==

fmamdtoppose

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:4NXUXbRWne17EDPsUKrKNw==

fmaintensity

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:pHcdMZuavdJw2w7ft7CPvQ==

wbornagain

f2529479 Location:

Variable Format: numeric

Notes: UNF:5:zqA0d9QhPB069mzjb2WTxw==

group

f2529481 Location:

Value

Label

Frequency

Text

6.

General Public

1

4.

Moderates

1

1.

High SDO

1

2.

High ITT

1

3.

Unsophisticated

1

5.

Evangelicals

1

Variable Format: numeric

Notes: UNF:5:WDzA/82vgFItd7owrPb/zg==

dm

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:K4dZYlxB3sbZnd92BApUQQ==

lb

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:MiXlTXaYHXXCVq7sCJZWKA==

ub

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:pBDR8srx/vlppnKgdACV+Q==

ddm

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:XyVKQT7KSABQmx9t355KkQ==

llb

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:4qnXSPh9vFDLRkxWyDhd5g==

uub

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:RMnC9vU1jxbdo9boybcikQ==

dddm

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:ReNJ7a9tRW1JA9KR8K1m+g==

lllb

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:EXEhdX2uti8ll8j2HL7YBw==

uuub

f2529481 Location:

Variable Format: numeric

Notes: UNF:5:JM0tS3pNRl1QQVP8JaDCbQ==

cond

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:0OrfOAN1cXcF5F0aEU1L6A==

sdodm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:GyYkyHhgwrNch6r39hTm9A==

sdolb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:XyPqPcWuq0FKRVmZjpcvYA==

sdoub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:DRJ6jiwBvWbLH6wPESbkxg==

ittdm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:QhEM/YIP7qyzBp22l+czqg==

ittlb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:/i1IvAud+l9PLa2Jkp2xRQ==

ittub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:Bwj5inNYIVhiDxrCCFNzdA==

evdm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:9UYXgoZ4V51vSoYmgZYdwA==

evlb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:6PumYHiXkdXuzf4KLRz43g==

evub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:ApK2NiVoLqm7uGvS5JLmCA==

gpdm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:wdM0QprEf15x2+ZSY4b/lg==

gplb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:UPuN9sB1i+egibRg+BZUwg==

gpub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:yPsZ7ybwc6nWUYTAHT47sA==

undm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:xjv09MsD6ooLp+TT7xGBtQ==

unlb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:2Z54irbtDC1Mo90uwJSkrg==

unub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:zcUlZJ//pb0/W7T0Iu35YQ==

mdm

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:l/KS/ZpJ0QaNqXrOJHlmUw==

mlb

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:2Jt3sGiPqysGc67CRtQk3A==

mub

f2529477 Location:

Variable Format: numeric

Notes: UNF:5:YQAt17eOMvvdyMO9OCVP+g==

cond

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:0OrfOAN1cXcF5F0aEU1L6A==

sdodm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:kD78maCe96mjKNZ548EVmw==

sdolb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:lG0CRheKjXZHs1OS9VlwRg==

sdoub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:uMvAuPNyzHiafr+aJeA3eg==

ittdm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:oF4b8+8A7B6vQGJssZNM+g==

ittlb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:pDlUBHt6avp36Er0vczjDA==

ittub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:ErImLcOgPXHYpBWbrYSv4w==

evdm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:ahrSR4hePNcN18RxQj7ifQ==

evlb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:+f0zFOzhc7bDa8fXcWD/aw==

evub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:5OBWWMHsJvwCvq9ifmvzZA==

gpdm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:s2wGltMMeKKb5moWWJJ+0g==

gplb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:krsDGOreXY6RfSfIkWPSkg==

gpub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:EgRQTLlXkhcF/fo3PAxtEQ==

undm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:MREpkkTzajjyNYHk56MPTQ==

unlb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:KH8OZjv7Vc1WS1J+Vwa3dg==

unub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:2qpzJQHJEboZjSPl8qZl6A==

mdm

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:AR11mDWwhcJIxJtcsibzMw==

mlb

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:7iAEBZ1abA0U61afdaECXg==

mub

f2529480 Location:

Variable Format: numeric

Notes: UNF:5:HeDlslwmVWvta71LOhVOlA==

cond

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:0OrfOAN1cXcF5F0aEU1L6A==

sdodm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:0KHprT/jdovIaePUilc11Q==

sdolb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:8A74nnNtIyE2foTwGdLiFA==

sdoub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:TMXj4ddWqC4mz/JSW66zMg==

ittdm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:C3kBMMiEmwYxik0LU/ztfw==

ittlb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:JJn+BYnHuJ9iTIw6co7zOA==

ittub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:SAHfCbSSsijwOTHckhEmaA==

evdm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:fr03rL+H2Oi2Ub+oTJfDQw==

evlb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:HuBd7DXnHHP6zcDUP5X5AA==

evub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:nVdkMPhBNSJ+JKzmq9yeug==

gpdm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:iIf0CTjOqLdM3OMlF78ZHA==

gplb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:bWqonJ35mmATq73lwf1KhQ==

gpub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:yR0wqrYAQQlM6/1FQhtmzg==

undm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:k1YWK/M/KdU4bAweNc70tw==

unlb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:gRHMsUrFda/0FhPXakiPEQ==

unub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:0cDeAYmKLbQ1XqhaL3mBfw==

mdm

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:qjSlKUWwu6uQSljZe2sE3Q==

mlb

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:ZsoVn73nv8Wv6BkXNfYYSg==

mub

f2529478 Location:

Variable Format: numeric

Notes: UNF:5:zqEygBKD/MozAQ20Ff70Mg==

dm

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:sda08E3uLaKPBbiBx3UE0w==

lb

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:pHYBH+7nJ/NEwHxIg7KWGA==

ub

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:5x8Arjrk3ql9mNtfeYSK/w==

ddm

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:fF6NnvBwclMmyeRyRVXqKg==

uub

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:CaaoWAzaWSIcu6bjTBU1yA==

llb

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:v3dn/NmEyxyQX29GnekMfA==

dddm

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:x2mOEiqNDwACkVW7IKBGpg==

uuub

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:heHfCUFnAOVcdvh6hSZNIA==

lllb

f2529473 Location:

Variable Format: numeric

Notes: UNF:5:FtmTECFtIPaXb2RqMg3gfQ==

group1

f2529473 Location:

Value

Label

Frequency

Text

1.

High SDO

0

4.

Evangelicals

0

5.

General Public

0

3.

Moderates

0

2.

Unsophisticated

0

Variable Format: numeric

Notes: UNF:5:mzqYTPaJOxmRa8GnHyKgbw==

Interviewing Component

f2529475 Location:

Value

Label

Frequency

Text

101.

National Rolling Cross-Section

2750

Variable Format: numeric

Notes: UNF:5:/HoREmmj7gdkJ38bg/HNGg==

Respondent ID

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:/DwYES+ZK9nye5/+OdG+sg==

Household ID

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Gt6sbNRaVszL7Ldi0cEqsg==

Area Code

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:toFAbqxROZ2ZXajyIDom0A==

State (Two-Letter Abbreviation)

f2529475 Location:

Variable Format: character

Notes: UNF:5:qIbLNJBPVGC+NQjsuggs1w==

State (Numeric Code)

f2529475 Location:

Value

Label

Frequency

Text

39.

OH (Ohio)

122

22.

LA (Louisiana)

30

6.

CA (California)

291

27.

MN (Minnesota)

58

56.

WY (Wyoming)

10

48.

TX (Texas)

187

9.

CT (Connecticut)

27

36.

NY (New York)

183

47.

TN (Tennessee)

70

16.

ID (Idaho)

10

41.

OR (Oregon)

36

33.

NH (New Hampshire)

23

37.

NC (North Carolina)

78

12.

FL (Florida)

136

19.

IA (Iowa)

34

13.

GA (Georgia)

50

23.

ME (Maine)

15

24.

MD (Maryland)

34

28.

MS (Mississippi)

21

42.

PA (Pennsylvania)

169

25.

MA (Massachusetts)

50

50.

VT (Vermont)

12

44.

RI (Rhode Island)

13

10.

DE (Delaware)

4

46.

SD (South Dakota)

10

17.

IL (Illinois)

89

51.

VA (Virginia)

69

35.

NM (New Mexico)

15

54.

WV (West Virginia)

27

53.

WA (Washington)

73

21.

KY (Kentucky)

57

8.

CO (Colorado)

40

29.

MO (Missouri)

68

31.

NE (Nebraska)

22

20.

KS (Kansas)

39

34.

NJ (New Jersey)

63

18.

IN (Indiana)

76

1.

AL (Alabama)

48

11.

DC (Washington, DC)

2

55.

WI (Wisconsin)

67

4.

AZ (Arizona)

57

30.

MT (Montana)

10

49.

UT (Utah)

29

38.

ND (North Dakota)

5

40.

OK (Oklahoma)

36

5.

AR (Arkansas)

22

26.

MI (Michigan)

92

32.

NV (Nevada)

22

45.

SC (South Carolina)

49

Variable Format: numeric

Notes: UNF:5:XotPfGpDBGnUQuj+2wQVGQ==

Interview Date

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:t7U/du+w3KDBLazQvnZusw==

Interview Start Time

f2529475 Location:

Value

Label

Frequency

Text

9999.

Interview completed in multiple sessions

149

Variable Format: numeric

Notes: UNF:5:IKwAuCqdQDjeHiTiQTRaKw==

Random Assignment to Question Module A1 or A2

f2529475 Location:

Value

Label

Frequency

Text

1.

Question module A1

1343

2.

Question module A2

1407

Variable Format: numeric

Notes: UNF:5:FLuXK2lAivDxbuAdewidww==

Random Assignment to Question Module B1, B2, or B3

f2529475 Location:

Value

Label

Frequency

Text

1.

Question module B1

928

3.

Question module B3

901

2.

Question module B2

921

Variable Format: numeric

Notes: UNF:5:ABI4ac9527kuyEtesTFoJg==

Random Assignment to Question Module C1, C2, C3, or C4

f2529475 Location:

Value

Label

Frequency

Text

1.

Question module C1

722

2.

Question module C2

664

3.

Question module C3

714

4.

Question module C4

650

Variable Format: numeric

Notes: UNF:5:jlDLGH5ZGoCX51Tn8QXlWQ==

Bush Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

13

11.

Do not recognize name

1

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:T62C/w3Pqh3aTZxd4RMVJg==

Bush Job Approval

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

45

3.

Somewhat disapprove

373

4.

Strongly disapprove

780

999.

Refused

3

2.

Somewhat approve

678

1.

Strongly approve

871

Variable Format: numeric

Notes: UNF:5:sjb1xcjqzUQ1MalcD8Xzlg==

Bush Favorability as Person

f2529475 Location:

Value

Label

Frequency

Text

4.

Very unfavorable

164

3.

Somewhat unfavorable

132

999.

Refused

9

998.

Don’t know

132

2.

Somewhat favorable

370

1.

Very favorable

536

Variable Format: numeric

Notes: UNF:5:MBqwqr7+zJr8jRCrPKQAvg==

Bush Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

39

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:+MbsHVGKOodhKdwT5QSW6g==

Bush Inspiring

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

28

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:EE884vZde2pwjdRcNr6Zbg==

Bush Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

17

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:kgIYQl8B8uL7lOAVD5W17Q==

Bush Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

36

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:j2TROaZX9Vcackeh3ciALg==

Bush Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

63

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:k7mApbv2XYgUJehlJSIQIw==

Bush Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:8sep5kfGbrxu2l7/35N+Kg==

Bush Reckless

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

27

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:6iLBOXll08sKtxOgZt+QNA==

Bush Steady

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Says One Thing, Does Another

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Has Right Experience

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Easy to Like

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Make Tough Decisions

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Has Clear Vision

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Changes His Mind

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Too Liberal

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Too Conservative

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Out of Touch

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Stubborn

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Arrogant

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Optimistic

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Effective

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Decisive

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Flip-Flops

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Honest

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Not Willing to Admit Mistakes

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Kept Promises

f2529475 Location:

Value

Label

Frequency

Text

2.

Most

164

999.

Refused

4

3.

Some

215

998.

Don’t know

38

4.

Few

126

1.

All

29

5.

None

49

Variable Format: numeric

Notes: UNF:5:J08wNx4bhFPAIVbIqpuiCA==

Bush Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Very conservative

0

4.

Liberal

0

2.

Conservative

0

5.

Very liberal

0

3.

Moderate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Makes Me Angry

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

998.

Don’t know

0

999.

Refused

0

3.

Little

0

5.

Does not make angry

0

4.

Not very

0

1.

Yes, very

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Makes Me Uneasy

f2529475 Location:

Value

Label

Frequency

Text

3.

Little

0

4.

Not very

0

998.

Don’t know

0

999.

Refused

0

1.

Yes, very

0

2.

Somewhat

0

5.

Does not make uneasy

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Makes Me Afraid

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

Does not make afraid

0

4.

Not very

0

1.

Yes, very

0

2.

Somewhat

0

3.

Little

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

258

11.

Do not recognize name

448

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:tF0dWu2QabZijBiy+xFgYA==

Kerry Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

141

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:bt7VzEU5nG+/YXfuzX7Bpg==

Kerry Inspiring

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

127

Variable Format: numeric

Notes: UNF:5:IvJuk0bEEcmk9vMXk0WW2A==

Kerry Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

130

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:0VCqJGeDInDYQQyTkai6nQ==

Kerry Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

142

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:iA5jexM67WlhyjZNdN717g==

Kerry Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

139

Variable Format: numeric

Notes: UNF:5:Xku+PuZDTQKMwuOcVaTSHg==

Kerry Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

63

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:BH/VcN/nAbfUkdPwAuCWYA==

Kerry Reckless

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

76

Variable Format: numeric

Notes: UNF:5:k+B622k9wc006jszgGeDqQ==

Kerry Steady

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Says One Thing, Does Another

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Has Right Experience

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Easy to Like

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Will Make Tough Decisions

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Has Clear Vision

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Changes His Mind

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Too Liberal

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Too Conservative

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Out of Touch

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Stubborn

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Arrogant

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Optimistic

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Effective

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Decisive

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Flip-Flops

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Honest

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Not Willing to Admit Mistakes

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Liberal

0

998.

Don’t know

0

5.

Very liberal

0

2.

Conservative

0

3.

Moderate

0

1.

Very conservative

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Makes Me Angry

f2529475 Location:

Value

Label

Frequency

Text

3.

Little

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat

0

5.

Does not make angry

0

1.

Yes, very

0

4.

Not very

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Makes Me Uneasy

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

998.

Don’t know

0

3.

Little

0

5.

Does not make uneasy

0

1.

Yes, very

0

4.

Not very

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Makes Me Afraid

f2529475 Location:

Value

Label

Frequency

Text

5.

Does not make afraid

0

1.

Yes, very

0

2.

Somewhat

0

4.

Not very

0

3.

Little

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cheney Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

59

999.

Refused

5

12.

Know name but cannot rate

86

Variable Format: numeric

Notes: UNF:5:FGAfdRu5Js+GOz/2F2wP9A==

Know Cheney Is Vice Presidential Candidate

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Dick Cheney (correct)

0

999.

Refused

0

2.

Other name

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cheney Has Right Experience to Be President

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Edwards Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

712

12.

Know name but cannot rate

347

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:mN3gRotPeE/WrrwycXUL4w==

Know Edwards Is Vice Presidential Candidate

f2529475 Location:

Value

Label

Frequency

Text

1.

John Edwards (correct)

0

999.

Refused

0

2.

Other name

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Edwards Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

142

Variable Format: numeric

Notes: UNF:5:WRk9F4RBnmVVL6YLvB4Row==

Edwards Inspiring

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

135

Variable Format: numeric

Notes: UNF:5:30+KN9DCCJkLBGZgIZiz9w==

Edwards Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

145

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:Yep3B/rjRGTX9G9qgfjRbg==

Edwards Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

146

999.

Refused

6

Variable Format: numeric

Notes: UNF:5:USDi8Tzue9AOnUpXqWcyUg==

Edwards Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

149

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:QLYu/4n1Ltgk5/ZRKzABMA==

Edwards Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

75

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:MK2yY3HcBaMDWlD5SfCJEQ==

Edwards Reckless

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

68

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:9Ir9RuzFRVcDdjR/fmU83A==

Edwards Has Right Experience to Be President

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Edwards Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

3.

Moderate

0

1.

Very conservative

0

2.

Conservative

0

5.

Very liberal

0

998.

Don’t know

0

4.

Liberal

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Nader Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Nader Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

3.

Moderate

0

998.

Don’t know

0

5.

Very liberal

0

1.

Very conservative

0

999.

Refused

0

2.

Conservative

0

4.

Liberal

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Clark Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

278

11.

Do not recognize name

595

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:YNSzxdfjqF7c57YlyZ+CEQ==

Clark Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

162

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:aB8u5ubUgks53X85jxWQnA==

Clark Inspiring

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

139

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:bz4mE5JiG2snjh1ZfoOjOw==

Clark Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

133

Variable Format: numeric

Notes: UNF:5:pr4BWUl5WOfdx7/bGKbb9g==

Clark Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

151

Variable Format: numeric

Notes: UNF:5:HfeYyJNHoOmKXSwWlyUtcQ==

Clark Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

161

Variable Format: numeric

Notes: UNF:5:LWFyMzIMFj213FHU3pHEmA==

Clark Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

80

Variable Format: numeric

Notes: UNF:5:4giIUD8JA55LDIKrB3+Afg==

Clark Reckless

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

66

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:lZGExlEo1F0Wz6S0NJ5q3w==

Clark Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

Very liberal

0

4.

Liberal

0

2.

Conservative

0

1.

Very conservative

0

998.

Don’t know

0

3.

Moderate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Dean Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

454

999.

Refused

3

12.

Know name but cannot rate

275

Variable Format: numeric

Notes: UNF:5:kp/XbystQPTQZAl6E9ZUng==

Dean Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

127

Variable Format: numeric

Notes: UNF:5:p1o673+NqnvkTGM49K0V7A==

Dean Inspiring

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

124

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:1UlYrGUiusLUs1KFFWNgRg==

Dean Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

135

Variable Format: numeric

Notes: UNF:5:l2D4hAI9wFlM3EF6RO28cQ==

Dean Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

134

Variable Format: numeric

Notes: UNF:5:EwNTCzqs68ut/SulddCRDQ==

Dean Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

130

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:xIJtrSrHbRderhAlJOZFUQ==

Dean Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

71

Variable Format: numeric

Notes: UNF:5:LsYrMxgk33BQ4anmZ2kmRA==

Dean Reckless

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

65

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:49AnfNuhX5DfSJJUNabT1A==

Dean Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

5.

Very liberal

0

1.

Very conservative

0

2.

Conservative

0

999.

Refused

0

998.

Don’t know

0

3.

Moderate

0

4.

Liberal

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gephardt Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

12.

Know name but cannot rate

206

11.

Do not recognize name

282

Variable Format: numeric

Notes: UNF:5:Vvp5RfQRFSjmMvCSKXKwhg==

Gephardt Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

122

Variable Format: numeric

Notes: UNF:5:i2j0Yk9DaGyQEDawjM22vA==

Gephardt Inspiring

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

111

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:kdd2GihVLwK9va4707bPhg==

Gephardt Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

115

Variable Format: numeric

Notes: UNF:5:fyRpRYyg7MrYONvjIS04CQ==

Gephardt Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

115

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:tvwQMoVDpA+TMKStkl3FZA==

Gephardt Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

119

Variable Format: numeric

Notes: UNF:5:29U3gwQCZovejlyNdPQrYw==

Gephardt Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

58

Variable Format: numeric

Notes: UNF:5:i4IR/ShYa+TTsR5dTfYkEw==

Gephardt Reckless

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

68

Variable Format: numeric

Notes: UNF:5:PavnTHcqp8wzSyPh6ClQOA==

Gephardt Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

5.

Very liberal

0

4.

Liberal

0

998.

Don’t know

0

3.

Moderate

0

2.

Conservative

0

1.

Very conservative

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Lieberman Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

201

999.

Refused

3

11.

Do not recognize name

189

Variable Format: numeric

Notes: UNF:5:/5uR9t6VY/xx0v+xoxJK8A==

Lieberman Cares About People Like Me

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

109

Variable Format: numeric

Notes: UNF:5:E8puh8k8Ctx2lIaEOsg7ig==

Lieberman Inspiring

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

93

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:xJYCh4NxDzmq1kdAzzX29g==

Lieberman Strong Leader

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

99

Variable Format: numeric

Notes: UNF:5:iMDWLySVJAv/jHHEcb1BgA==

Lieberman Trustworthy

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

102

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:5K3MOZl3UGD+sEHV0I75xg==

Lieberman Shares My Values

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

113

Variable Format: numeric

Notes: UNF:5:8JdGd3GxYSvECP3FulKzbg==

Lieberman Knowledgeable

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

56

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:+eK1VHF1H8HdjyanCrvOyQ==

Lieberman Reckless

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

46

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:M3WB30zOP5OFY1Tp4oQbFA==

Lieberman Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

1.

Very conservative

0

3.

Moderate

0

2.

Conservative

0

999.

Refused

0

4.

Liberal

0

5.

Very liberal

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

More Likely to Vote for Moderate or Liberal Democratic Candidate

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

26

1.

Moderate

299

2.

Liberal

131

999.

Refused

0

4.

Neither

5

3.

Either

4

Variable Format: numeric

Notes: UNF:5:Ry3VD+wh8BH03oiBbdxSBA==

More Likely to Vote for Democratic Candidate With Washington Experience

f2529475 Location:

Value

Label

Frequency

Text

2.

Outside of Washington

285

998.

Don’t know

28

1.

Washington experience

161

4.

Neither

20

999.

Refused

3

3.

Either

4

Variable Format: numeric

Notes: UNF:5:KFlzBLB8Af/V8qCvc8KK+g==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 1 of 2

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

721

5.

John Kerry

194

6.

Joe Lieberman

0

4.

Richard Gephardt

361

3.

John Edwards

563

1.

Wesley Clark

911

Variable Format: numeric

Notes: UNF:5:IVkvZL6KnES3iiJvOapi0Q==

Random Assignment to Democratic Candidates (10/7/03–1/19/04), 2 of 2

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards

384

4.

Richard Gephardt

540

6.

Joe Lieberman

930

2.

Howard Dean

166

5.

John Kerry

730

Variable Format: numeric

Notes: UNF:5:L507CB4wbEEbQrxaEu8BDQ==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 1 of 2

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean

0

6.

Joe Lieberman

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to Democratic Candidates (1/20/04–2/3/04), 2 of 2

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

5.

John Kerry

0

2.

Howard Dean

0

6.

Joe Lieberman

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 1 of 2

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

5.

John Kerry

0

2.

Howard Dean

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to Democratic Candidates (2/4/04–2/10/04), 2 of 2

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

1.

Wesley Clark

0

3.

John Edwards

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to Democratic Candidates (2/11/04–2/17/04)

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Ashcroft Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

115

12.

Know name but cannot rate

90

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:K16p9Y69vu5oTOOha1s5+A==

Laura Bush Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

12.

Know name but cannot rate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bill Clinton Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

11

11.

Do not recognize name

3

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:EO6gbAaUTXpTy8EaFSyc/g==

Hillary Clinton Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

12.

Know name but cannot rate

17

11.

Do not recognize name

2

Variable Format: numeric

Notes: UNF:5:4+Y+pjs799og3/7Bq8uokw==

Giuliani Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know name but cannot rate

0

11.

Do not recognize name

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gore Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

12.

Know name but cannot rate

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Heinz Kerry Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

0

999.

Refused

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Limbaugh Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize name

112

999.

Refused

7

12.

Know name but cannot rate

101

Variable Format: numeric

Notes: UNF:5:T+ZHnMR+uU4KmlV5hEEqBQ==

McCain Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Rice Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

11.

Do not recognize name

0

12.

Know name but cannot rate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Schwarzenegger Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

12.

Know name but cannot rate

23

11.

Do not recognize name

4

Variable Format: numeric

Notes: UNF:5:KlWrc7+dyVu+mAXqCli1Eg==

Howard Stern Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know name but cannot rate

0

11.

Do not recognize name

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Other

0

1.

Actress

0

6.

Henry Fonda’s daughter

0

4.

Anti-war protester

0

3.

Wife / former wife of Ted Turner

0

999.

Refused

0

5.

Hanoi Jane

0

2.

Exercise videos/programs

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Henry Fonda’s daughter

0

7.

Other

0

5.

Hanoi Jane

0

4.

Anti-war protester

0

1.

Actress

0

999.

Refused

0

3.

Wife / former wife of Ted Turner

0

998.

Don’t know

0

2.

Exercise videos/programs

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

Wife / former wife of Ted Turner

0

5.

Hanoi Jane

0

1.

Actress

0

6.

Henry Fonda’s daughter

0

7.

Other

0

2.

Exercise videos/programs

0

998.

Don’t know

0

999.

Refused

0

4.

Anti-war protester

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Exercise videos/programs

0

6.

Henry Fonda’s daughter

0

5.

Hanoi Jane

0

3.

Wife / former wife of Ted Turner

0

1.

Actress

0

998.

Don’t know

0

7.

Other

0

4.

Anti-war protester

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Actress

0

4.

Anti-war protester

0

2.

Exercise videos/programs

0

6.

Henry Fonda’s daughter

0

998.

Don’t know

0

5.

Hanoi Jane

0

999.

Refused

0

7.

Other

0

3.

Wife / former wife of Ted Turner

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Jane Fonda Is Known For, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Hoover Dam

0

3.

Stock market crash

0

2.

Depression / Great Depression

0

998.

Don’t know

0

4.

FBI director

0

999.

Refused

0

6.

Vacuum cleaner

0

5.

Cross-dresser

0

1.

U.S. president

0

8.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

Cross-dresser

0

998.

Don’t know

0

8.

Other

0

7.

Hoover Dam

0

2.

Depression / Great Depression

0

1.

U.S. president

0

3.

Stock market crash

0

4.

FBI director

0

999.

Refused

0

6.

Vacuum cleaner

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Other

0

1.

U.S. president

0

3.

Stock market crash

0

6.

Vacuum cleaner

0

2.

Depression / Great Depression

0

998.

Don’t know

0

4.

FBI director

0

5.

Cross-dresser

0

7.

Hoover Dam

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Vacuum cleaner

0

2.

Depression / Great Depression

0

5.

Cross-dresser

0

8.

Other

0

1.

U.S. president

0

999.

Refused

0

3.

Stock market crash

0

4.

FBI director

0

998.

Don’t know

0

7.

Hoover Dam

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Vacuum cleaner

0

8.

Other

0

7.

Hoover Dam

0

998.

Don’t know

0

999.

Refused

0

2.

Depression / Great Depression

0

3.

Stock market crash

0

4.

FBI director

0

5.

Cross-dresser

0

1.

U.S. president

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

What Herbert Hoover Is Known For, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reagan Accomplishments in Domestic Policy

f2529475 Location:

Value

Label

Frequency

Text

4.

Poor

0

3.

Fair

0

998.

Don’t know

0

999.

Refused

0

2.

Good

0

1.

Excellent

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reagan Accomplishments in Foreign Policy

f2529475 Location:

Value

Label

Frequency

Text

2.

Good

0

999.

Refused

0

1.

Excellent

0

4.

Poor

0

998.

Don’t know

0

3.

Fair

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry More Like Reagan as Politician

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

3.

Both the same

0

4.

Neither is like Reagan

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry More Like Reagan as Leader

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both the same

0

4.

Neither is like Reagan

0

999.

Refused

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry More Like Reagan as Person

f2529475 Location:

Value

Label

Frequency

Text

3.

Both the same

0

999.

Refused

0

4.

Neither is like Reagan

0

998.

Don’t know

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Congressional Republicans Job Approval

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly approve

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

998.

Don’t know

0

4.

Strongly disapprove

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Congressional Democrats Job Approval

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Somewhat approve

0

1.

Strongly approve

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Labor Unions Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

11.

Do not recognize group

6

12.

Know group but cannot rate

21

Variable Format: numeric

Notes: UNF:5:OWUNdnjRPR9mEtXe48/dEg==

Corporations Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

6

11.

Do not recognize group

9

12.

Know group but cannot rate

31

Variable Format: numeric

Notes: UNF:5:CdNhRbJVdlyBCCh7/UnvrQ==

Feminist Groups Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

4

12.

Know group but cannot rate

29

11.

Do not recognize group

22

Variable Format: numeric

Notes: UNF:5:zn4OIojYEKfHPdlQIJvhYw==

Gay Groups Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

35

999.

Refused

9

11.

Do not recognize group

5

Variable Format: numeric

Notes: UNF:5:cETLUOfl6ZQO+KVMwDWxyg==

Environmental Groups Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

11.

Do not recognize group

1

12.

Know group but cannot rate

13

Variable Format: numeric

Notes: UNF:5:DL22aAip5ofJbSCaYtYqww==

AARP Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

27

11.

Do not recognize group

10

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:aNWirGVhGMD3yXKNrstw+w==

NRA Favorability

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know group but cannot rate

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Christian Groups Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

41

12.

Know group but cannot rate

83

999.

Refused

15

Variable Format: numeric

Notes: UNF:5:Z/6nKBwptRzRT9PxeuUKqQ==

Protestants Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

57

999.

Refused

24

11.

Do not recognize group

25

Variable Format: numeric

Notes: UNF:5:s5VIm+TsU9r9TKWRGue30w==

Catholics Favorability

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

1

12.

Know group but cannot rate

48

999.

Refused

24

Variable Format: numeric

Notes: UNF:5:OOrdkM3nSGJDRNF+vuP/wQ==

Jewish People Favorability (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

11.

Do not recognize group

6

12.

Know group but cannot rate

59

999.

Refused

29

Variable Format: numeric

Notes: UNF:5:TlSCZt+DxKOveo+iZXOkIA==

Jewish People Favorability (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

12.

Know group but cannot rate

0

11.

Do not recognize group

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Muslims Favorability

f2529475 Location:

Value

Label

Frequency

Text

12.

Know group but cannot rate

100

999.

Refused

25

11.

Do not recognize group

10

Variable Format: numeric

Notes: UNF:5:wzIXGoFq3ajk0+AYWPR9vg==

Random Question Order for cAA01

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:KGbfdoZl/HD5ieYLQ0N8uA==

Random Question Order for cAB01

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:XxE0No440E/L7BEfQto9KA==

Random Question Order for cAC01

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:hQRpsmwJj6TORNKP1gJ4+w==

Random Question Order for cAC04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:4rQjQ3QXUG7VqAawAsU5kg==

Random Question Order for cAC15

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAC17

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:e3rC7IGKKJs4P+dg5diYfA==

Random Question Order for cAC26

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:DUjnNSfZhOZEUnmL8Nh4zg==

Random Question Order for cAC35

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ANs15H/oOyTpjkwn7kRBpw==

Random Question Order for cAC44

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:hEz60FvTTBGYU5h0sqsoKw==

Random Question Order for cAD01

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:r8rjdXH0odRtzvRQuXehvg==

Random Question Order for cAD02

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD03

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:LAomPRvlYWHn5dgQBWtznA==

Random Question Order for cAD04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:TpMY+baXUOl5gf67D6nf0w==

Random Question Order for cAD05

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD06

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD07

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD08

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:w5xyKryE1XmOSXqB1Ysj8w==

Random Question Order for cAD09

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD10

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAD11

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:wtrojCLIteyBOm+kEDAbJw==

Random Question Order for cAD12

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cUA04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:MWTdpDvufQFlsacCvpXjyw==

Random Question Order for cAA04–cAA28

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:mbcAgLR8II9If1/ukho1NA==

Random Question Order for cAB02–cAB26

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:3H2XFYSU0489y82f2JFvzQ==

Random Question Order for cAC06–cAC12

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:/E2Gkn6N+Ww7isO8h1cbzg==

Random Question Order for cAC18–cAC24

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:KuN3EnkAZgYhkDnaSPmZ1w==

Random Question Order for cAC27–cAC33

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:U6M1nfVC1mmXoT8vQ+XaWA==

Random Question Order for cAC36–cAC42

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:qrsMJ0WYeT/m/KTWhc6L1Q==

Random Question Order for cAC45–cAC51

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:uc/b6zh/db1JkzRMR6ngMA==

Random Question Order for cAA04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:pvXbye9Ar+2wkoeP1xRsbQ==

Random Question Order for cAA05

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:cFGHsOi+TzQ59qD8dKVZGA==

Random Question Order for cAA06

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Ts+wdHHYpghNLS6cfCW1Kw==

Random Question Order for cAA07

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:QkNKDr3hkhg+cQCr16m3cw==

Random Question Order for cAA08

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:yX6E5KkaX1WcRCQ+fDYTww==

Random Question Order for cAA09

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:uL2OeeaZRFL3NtEFT47YKg==

Random Question Order for cAA10

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:K4A9B2xDKAIjFoXEdfPgNQ==

Random Question Order for cAA11

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA12

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA14

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA15

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA16

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA17

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA18

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA19

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA20

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA21

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA22

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA23

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA24

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA25

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA26

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA27

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAA28

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB02

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:o2sscq38FYDj1rA3j7cYzg==

Random Question Order for cAB03

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:xma6SE21RTLIhFO4aUMmKw==

Random Question Order for cAB04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ckSoPZ7MM5L+YPH/Kzo6SQ==

Random Question Order for cAB05

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:+OxfkouubtQfgQXsdlI//g==

Random Question Order for cAB06

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:L/xL7uXCFBRGlB/Ha6cxkA==

Random Question Order for cAB07

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Hmr7TloBP+zza71lpIK7NQ==

Random Question Order for cAB08

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:j8qdaY/V3EpwM9yGs68rkA==

Random Question Order for cAB09

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB10

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB11

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB12

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB14

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB15

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB16

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB17

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB18

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB19

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB20

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB21

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB22

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB23

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB24

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB25

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAB26

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cAC06

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:q192Ng3At7CUsz4mICsXfQ==

Random Question Order for cAC07

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:VMRzkC5mOKDdoRpfmviuRQ==

Random Question Order for cAC08

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:boC0gi/B2NG3eWq6k+v12Q==

Random Question Order for cAC09

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Xv1Od0pCbqk8P6opPgyRAA==

Random Question Order for cAC10

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:cVei4rUmwHJwanEQA6BtHg==

Random Question Order for cAC11

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:CvQFtPUIlRwU41xmZHxv4w==

Random Question Order for cAC12

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:uTzL/YK5rbvD1ldwJEj79g==

Random Question Order for cAC18

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:UMNFQ6YIdMLqgAZ1pAcE0w==

Random Question Order for cAC19

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:cWU3qnW8+CE+cTfyW+e9vg==

Random Question Order for cAC20

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:r2odzbHKeIQ3qPse3JXBqQ==

Random Question Order for cAC21

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:DgJX/sTQkvCC8PXGOrzoiQ==

Random Question Order for cAC22

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:3jTFLJ0pjZ7VImqSj4j36A==

Random Question Order for cAC23

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:8bM5qmG99/eIAh8n2DI2AA==

Random Question Order for cAC24

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:bSKOUxoR2BkVyB45UzzGRA==

Random Question Order for cAC27

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Wouao5zGnikG863pf+yGEQ==

Random Question Order for cAC28

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:2oH4A3oD3/RZSSAJpsf+Fg==

Random Question Order for cAC29

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:zK55/8QGvxWMjecTSUxEqg==

Random Question Order for cAC30

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:EK/wnMrrQJuMCsLdYv1haA==

Random Question Order for cAC31

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:r7uOhmkiHk/USGpMBK9zcA==

Random Question Order for cAC32

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:SXTSW8AAGLN2s29SAEGGjg==

Random Question Order for cAC33

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:F+5Tcq9Ym9+BSJhBj8y2PQ==

Random Question Order for cAC36

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:LZh1LVNBiDJ4cVd6tUBoEQ==

Random Question Order for cAC37

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:zsnMw3EgfJ8uX0o+v+l8HQ==

Random Question Order for cAC38

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:oojGLbHJW/PHYekUEDiQaw==

Random Question Order for cAC39

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ihIkgO+GxzEgY/+7C3+m8Q==

Random Question Order for cAC40

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:g9aTArJ7rFFS5zn4YS+l4w==

Random Question Order for cAC41

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:e+WlUYr+kAvUgkwKF7bkGg==

Random Question Order for cAC42

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:G5ceROfkFiRqpMRRNj51JQ==

Random Question Order for cAC45

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:A1o13Vwvrn7AcEz7HVQ61g==

Random Question Order for cAC46

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:R03dGUTftTpmzQ4BS7QxbA==

Random Question Order for cAC47

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:4RyK5zPeTiXCF/MP2S7kVw==

Random Question Order for cAC48

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:mEkR7FQoeLoBBXLcWWphWw==

Random Question Order for cAC49

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:qlKeXVerQtWWzgZxbK85ww==

Random Question Order for cAC50

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:2+deZWmjQws1MWLXq8U3Hg==

Random Question Order for cAC51

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:80GjjL/gPkkjRNAUkPXsNQ==

Country Going in Right Direction (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

271

2.

Wrong

1364

999.

Refused

42

1.

Right

1073

Variable Format: numeric

Notes: UNF:5:dJsw5RSiawRE5MvXG0yz1w==

Country Going in Right Direction (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Wrong

0

1.

Right

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #1), 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Energy / rising gas prices

6

12.

Politicians/government

151

13.

Taxes

29

17.

National/homeland security

41

14.

Terrorism / war on terrorism

205

4.

Poverty/homelessness

67

16.

Foreign policy

95

7.

Health care

165

2.

Education / education problems

98

22.

Other

252

20.

Jobs going to other countries / outsourcing

0

998.

Don’t know

84

9.

Drugs

29

6.

Lack of moral/family values

166

5.

Lack of religion/faith

74

19.

Immigration / illegal aliens

21

11.

Environment

7

8.

Violence/crime

38

18.

Unemployment / job security / layoffs

223

15.

Iraq war/situation

489

3.

Children’s issues

22

21.

Dislike Bush / current leaders

0

1.

Economy

481

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:SW2bS5IKc0lh29dMYcJpCA==

Most Important Problem (Wording #1), 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

Lack of religion/faith

0

999.

Refused

0

3.

Children’s issues

1

6.

Lack of moral/family values

10

2.

Education / education problems

1

16.

Foreign policy

11

15.

Iraq war/situation

41

17.

National/homeland security

10

998.

Don’t know

0

11.

Environment

3

22.

Other

39

20.

Jobs going to other countries / outsourcing

0

19.

Immigration / illegal aliens

1

18.

Unemployment / job security / layoffs

28

8.

Violence/crime

5

13.

Taxes

1

21.

Dislike Bush / current leaders

0

7.

Health care

7

1.

Economy

0

4.

Poverty/homelessness

8

9.

Drugs

7

12.

Politicians/government

4

14.

Terrorism / war on terrorism

7

10.

Energy / rising gas prices

0

Variable Format: numeric

Notes: UNF:5:qJUh9ltU6uHXcgzztPbQOw==

Most Important Problem (Wording #1), 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Education / education problems

0

6.

Lack of moral/family values

0

999.

Refused

0

7.

Health care

3

8.

Violence/crime

0

14.

Terrorism / war on terrorism

1

3.

Children’s issues

0

22.

Other

8

5.

Lack of religion/faith

0

12.

Politicians/government

1

10.

Energy / rising gas prices

0

18.

Unemployment / job security / layoffs

7

13.

Taxes

1

1.

Economy

0

11.

Environment

0

15.

Iraq war/situation

2

998.

Don’t know

0

17.

National/homeland security

0

20.

Jobs going to other countries / outsourcing

0

9.

Drugs

1

19.

Immigration / illegal aliens

0

4.

Poverty/homelessness

1

21.

Dislike Bush / current leaders

0

16.

Foreign policy

4

Variable Format: numeric

Notes: UNF:5:B5cf0zc7mOBCl3TivEytqQ==

Most Important Problem (Wording #1), 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

11.

Environment

0

5.

Lack of religion/faith

0

6.

Lack of moral/family values

0

2.

Education / education problems

0

18.

Unemployment / job security / layoffs

3

16.

Foreign policy

1

10.

Energy / rising gas prices

0

1.

Economy

0

4.

Poverty/homelessness

0

7.

Health care

1

15.

Iraq war/situation

1

20.

Jobs going to other countries / outsourcing

0

17.

National/homeland security

0

3.

Children’s issues

0

19.

Immigration / illegal aliens

1

12.

Politicians/government

0

8.

Violence/crime

0

21.

Dislike Bush / current leaders

0

22.

Other

2

999.

Refused

0

9.

Drugs

0

998.

Don’t know

0

14.

Terrorism / war on terrorism

0

13.

Taxes

0

Variable Format: numeric

Notes: UNF:5:7LzEIJrAPKaV2BHZxDIqPA==

Most Important Problem (Wording #1), 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Health care

0

20.

Jobs going to other countries / outsourcing

0

998.

Don’t know

0

13.

Taxes

0

21.

Dislike Bush / current leaders

0

16.

Foreign policy

0

5.

Lack of religion/faith

0

22.

Other

0

18.

Unemployment / job security / layoffs

1

14.

Terrorism / war on terrorism

0

12.

Politicians/government

0

3.

Children’s issues

0

4.

Poverty/homelessness

0

999.

Refused

0

17.

National/homeland security

0

10.

Energy / rising gas prices

0

2.

Education / education problems

0

9.

Drugs

0

1.

Economy

0

19.

Immigration / illegal aliens

0

11.

Environment

0

6.

Lack of moral/family values

0

8.

Violence/crime

0

15.

Iraq war/situation

1

Variable Format: numeric

Notes: UNF:5:BjMqkqZUgbetsSe4RVVPbQ==

Most Important Problem (Wording #1), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:/LQ2VIGn6QC88cU8MQhSyw==

Don’t-Know Prompt for cCA03

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

2643

1.

Respondent said don’t know and was prompted, “Just your best

107

Variable Format: numeric

Notes: UNF:5:zOp8c7fOVI1BDavoqsL/Pg==

Most Important Problem (Wording #2), 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

15.

Iraq war/situation

0

1.

Economy

0

6.

Lack of moral/family values

0

5.

Lack of religion/faith

0

13.

Taxes

0

9.

Drugs

0

19.

Immigration / illegal aliens

0

10.

Energy / rising gas prices

0

3.

Children’s issues

0

18.

Unemployment / job security / layoffs

0

7.

Health care

0

11.

Environment

0

20.

Jobs going to other countries / outsourcing

0

999.

Refused

0

17.

National/homeland security

0

16.

Foreign policy

0

2.

Education / education problems

0

12.

Politicians/government

0

22.

Other

0

21.

Dislike Bush / current leaders

0

14.

Terrorism / war on terrorism

0

8.

Violence/crime

0

4.

Poverty/homelessness

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #2), 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

22.

Other

0

19.

Immigration / illegal aliens

0

2.

Education / education problems

0

1.

Economy

0

10.

Energy / rising gas prices

0

16.

Foreign policy

0

7.

Health care

0

13.

Taxes

0

11.

Environment

0

20.

Jobs going to other countries / outsourcing

0

999.

Refused

0

9.

Drugs

0

17.

National/homeland security

0

5.

Lack of religion/faith

0

4.

Poverty/homelessness

0

15.

Iraq war/situation

0

998.

Don’t know

0

12.

Politicians/government

0

18.

Unemployment / job security / layoffs

0

6.

Lack of moral/family values

0

3.

Children’s issues

0

14.

Terrorism / war on terrorism

0

8.

Violence/crime

0

21.

Dislike Bush / current leaders

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #2), 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Energy / rising gas prices

0

20.

Jobs going to other countries / outsourcing

0

18.

Unemployment / job security / layoffs

0

11.

Environment

0

8.

Violence/crime

0

999.

Refused

0

7.

Health care

0

22.

Other

0

15.

Iraq war/situation

0

12.

Politicians/government

0

13.

Taxes

0

2.

Education / education problems

0

16.

Foreign policy

0

17.

National/homeland security

0

4.

Poverty/homelessness

0

998.

Don’t know

0

5.

Lack of religion/faith

0

6.

Lack of moral/family values

0

19.

Immigration / illegal aliens

0

3.

Children’s issues

0

21.

Dislike Bush / current leaders

0

1.

Economy

0

14.

Terrorism / war on terrorism

0

9.

Drugs

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #2), 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Drugs

0

3.

Children’s issues

0

7.

Health care

0

4.

Poverty/homelessness

0

10.

Energy / rising gas prices

0

22.

Other

0

12.

Politicians/government

0

11.

Environment

0

13.

Taxes

0

17.

National/homeland security

0

5.

Lack of religion/faith

0

18.

Unemployment / job security / layoffs

0

1.

Economy

0

16.

Foreign policy

0

20.

Jobs going to other countries / outsourcing

0

15.

Iraq war/situation

0

14.

Terrorism / war on terrorism

0

8.

Violence/crime

0

21.

Dislike Bush / current leaders

0

2.

Education / education problems

0

6.

Lack of moral/family values

0

999.

Refused

0

998.

Don’t know

0

19.

Immigration / illegal aliens

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #2), 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

14.

Terrorism / war on terrorism

0

4.

Poverty/homelessness

0

12.

Politicians/government

0

1.

Economy

0

8.

Violence/crime

0

15.

Iraq war/situation

0

3.

Children’s issues

0

20.

Jobs going to other countries / outsourcing

0

998.

Don’t know

0

16.

Foreign policy

0

21.

Dislike Bush / current leaders

0

17.

National/homeland security

0

22.

Other

0

5.

Lack of religion/faith

0

11.

Environment

0

7.

Health care

0

13.

Taxes

0

9.

Drugs

0

18.

Unemployment / job security / layoffs

0

6.

Lack of moral/family values

0

10.

Energy / rising gas prices

0

2.

Education / education problems

0

19.

Immigration / illegal aliens

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Most Important Problem (Wording #2), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCA05

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Just your best

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Iraq or Economy More Important in Vote

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

66

4.

Would not vote

8

999.

Refused

14

3.

Something else will be important

91

1.

Iraq

271

2.

Economy

893

Variable Format: numeric

Notes: UNF:5:EBXr6lIdlRoRcpl5XJsXMA==

Country’s Economy Today

f2529475 Location:

Value

Label

Frequency

Text

2.

Good

638

4.

Poor

815

3.

Fair

1250

999.

Refused

3

998.

Don’t know

10

1.

Excellent

34

Variable Format: numeric

Notes: UNF:5:wpJg8CnCFj/yRH8zmK45VQ==

Country’s Economy Last Year

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Much better

0

999.

Refused

0

3.

Same

0

2.

Somewhat better

0

4.

Somewhat worse

0

5.

Much worse

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Country’s Economy Next Year

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat better

1210

999.

Refused

1

4.

Somewhat worse

329

1.

Much better

268

998.

Don’t know

94

5.

Much worse

92

3.

Same

756

Variable Format: numeric

Notes: UNF:5:d23zzgYv/MD/VssYo2fGug==

Personal Economic Situation Today

f2529475 Location:

Value

Label

Frequency

Text

2.

Good

1169

3.

Fair

1002

1.

Excellent

174

4.

Poor

391

999.

Refused

5

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:jGs1DKQn05PsJgmcsf0G2g==

Personal Economic Situation Last Year

f2529475 Location:

Value

Label

Frequency

Text

4.

Somewhat worse

0

5.

Much worse

0

2.

Somewhat better

0

998.

Don’t know

0

1.

Much better

0

3.

Same

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy

f2529475 Location:

Value

Label

Frequency

Text

2.

Iraq

267

5.

Something else responsible

100

999.

Refused

3

4.

All equally responsible

77

1.

Terrorism

201

3.

Tax cuts

219

998.

Don’t know

61

Variable Format: numeric

Notes: UNF:5:lztv7jZYd1MTQqiIAVrIvg==

Terrorism, Iraq, or Tax Cuts Most Responsible for Economy, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:YOOX3gXoxzD7eb31e0Lm9Q==

Aware Economy Grew 7 Percent

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Economy Will Continue to Grow

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

3.

Do not believe economy grew

0

1.

Continue

0

2.

One-time

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Bush Handling Economy

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

14

998.

Don’t know

83

2.

Disapprove

1333

1.

Approve

1320

Variable Format: numeric

Notes: UNF:5:hZrSmdOc7M8snvHqMHxudQ==

Bush Policies Are Improving Economy

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

4

2.

Worse

1023

998.

Don’t know

130

1.

Better

812

3.

No effect

781

Variable Format: numeric

Notes: UNF:5:jFZZvQwsorfM8zelXSIccg==

Trust Bush or Kerry on Economy

f2529475 Location:

Value

Label

Frequency

Text

3.

Trust both the same

0

4.

Trust neither

0

999.

Refused

0

2.

Kerry

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Do Better Than Kerry on Economy

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Will do same job

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Reducing Taxes

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

287

998.

Don’t know

82

3.

Somewhat oppose

309

999.

Refused

15

5.

Neither favor nor oppose

111

2.

Somewhat favor

606

1.

Strongly favor

1340

Variable Format: numeric

Notes: UNF:5:uuEBEas6fc05tgoMGcOApw==

Taxes Will Increase if Bush Elected

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Up

0

2.

Down

0

3.

Same

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Taxes Will Increase if Kerry Elected

f2529475 Location:

Value

Label

Frequency

Text

1.

Up

0

999.

Refused

0

998.

Don’t know

0

2.

Down

0

3.

Same

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Making Bush Tax Cuts Permanent (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Making Bush Tax Cuts Permanent (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

1.

Strongly favor

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Repealing Bush Tax Cuts for Wealthy

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

1.

Strongly favor

0

3.

Somewhat oppose

0

999.

Refused

0

4.

Strongly oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Repealing Bush Tax Cuts for Wealthy to Pay for Health Insurance

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Who Has Benefited Most From Bush Tax Cuts

f2529475 Location:

Value

Label

Frequency

Text

1.

Greater than $300,000

136

2.

$100,000–$300,000

76

4.

Less than $50,000

65

3.

$50,000–$100,000

62

999.

Refused

2

998.

Don’t know

53

Variable Format: numeric

Notes: UNF:5:A4ouqk6Cj+IDMKtZq6o94g==

Personally Benefited From Bush Tax Cuts

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

270

998.

Don’t know

20

1.

Great deal

46

4.

Not at all

336

999.

Refused

1

2.

Some

248

Variable Format: numeric

Notes: UNF:5:4i5ieZsMl713QrikOB1bLA==

Personally Paying More or Less Taxes This Year

f2529475 Location:

Value

Label

Frequency

Text

1.

More

0

2.

Less

0

3.

Same

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Paying More Taxes This Year

f2529475 Location:

Value

Label

Frequency

Text

2.

Other

0

1.

More income

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Paying Less Taxes This Year

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

0

2.

Tax cuts

0

999.

Refused

0

1.

Less income

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Making Bush Tax Cuts Permanent

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Neither

0

998.

Don’t know

0

2.

Kerry

0

3.

Both

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB25

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Income Level at Which Kerry Would Repeal Bush Tax Cuts

f2529475 Location:

Value

Label

Frequency

Text

3.

$200,000 (correct)

0

2.

$100,000

0

998.

Don’t know

0

999.

Refused

0

1.

$50,000

0

4.

$500,000

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB27

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anything come

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

John Kerry (correct)

0

4.

Richard Gephardt

0

999.

Refused

0

10.

Other

0

1.

Wesley Clark

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

3.

John Edwards

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

John Kerry (correct)

0

9.

Al Sharpton

0

2.

Howard Dean

0

1.

Wesley Clark

0

3.

John Edwards

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

10.

Other

0

999.

Refused

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

5.

John Kerry (correct)

0

998.

Don’t know

0

6.

Dennis Kucinich

0

10.

Other

0

2.

Howard Dean

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

999.

Refused

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

5.

John Kerry (correct)

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

10.

Other

0

3.

John Edwards

0

2.

Howard Dean

0

9.

Al Sharpton

0

999.

Refused

0

998.

Don’t know

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing Bush Tax Cuts for Wealthy, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

3.

John Edwards

0

1.

Wesley Clark

0

9.

Al Sharpton

0

2.

Howard Dean

0

999.

Refused

0

5.

John Kerry (correct)

0

10.

Other

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB29

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Howard Dean

0

1.

Wesley Clark

0

9.

Al Sharpton (correct)

0

4.

Richard Gephardt

0

3.

John Edwards

0

5.

John Kerry

0

6.

Dennis Kucinich

0

998.

Don’t know

0

8.

Carol Moseley Braun (correct)

0

7.

Joe Lieberman

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Other

0

998.

Don’t know

0

2.

Howard Dean

0

9.

Al Sharpton (correct)

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

3.

John Edwards

0

8.

Carol Moseley Braun (correct)

0

5.

John Kerry

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun (correct)

0

3.

John Edwards

0

5.

John Kerry

0

2.

Howard Dean

0

998.

Don’t know

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

10.

Other

0

9.

Al Sharpton (correct)

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

4.

Richard Gephardt

0

2.

Howard Dean

0

7.

Joe Lieberman

0

9.

Al Sharpton (correct)

0

1.

Wesley Clark

0

999.

Refused

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun (correct)

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Repealing All Bush Tax Cuts, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

John Edwards

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun (correct)

0

1.

Wesley Clark

0

5.

John Kerry

0

10.

Other

0

2.

Howard Dean

0

9.

Al Sharpton (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB31

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Estate Tax (Wording #1 and No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

1.

Favor

0

999.

Refused

0

2.

Oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Estate Tax (Wording #1 and Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

1.

Strongly favor

0

2.

Somewhat favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Estate Tax (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

999.

Refused

0

3.

Somewhat oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Reducing Estate Tax

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush (correct)

0

3.

Both

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB37

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Eliminating Estate Tax (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

3.

Both

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB39

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Reducing Estate Tax

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

998.

Don’t know

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB41

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Overseas Tax Breaks to Cut Corporate Taxes

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Favor

0

2.

Oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Eliminating Overseas Tax Breaks to Cut Taxes for Companies That Create Job

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Corporate Ta

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

2.

Kerry (correct)

0

999.

Refused

0

998.

Don’t know

0

3.

Both

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB46

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Eliminating Overseas Tax Breaks to Cut Taxes for Co

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Neither

0

2.

Kerry (correct)

0

1.

Bush

0

3.

Both

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB48

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Wants to Raise Taxes $900 Billion

f2529475 Location:

Value

Label

Frequency

Text

1.

Definitely true

0

2.

Probably true

0

999.

Refused

0

998.

Don’t know

0

4.

Definitely not true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Voted for Higher Taxes 350 Times

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Probably true

0

4.

Definitely not true

0

999.

Refused

0

3.

Probably not true

0

1.

Definitely true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Wants to Raise Gas Tax

f2529475 Location:

Value

Label

Frequency

Text

2.

Probably true

0

4.

Definitely not true

0

998.

Don’t know

0

3.

Probably not true

0

999.

Refused

0

1.

Definitely true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Raided Social Security for Tax Cuts

f2529475 Location:

Value

Label

Frequency

Text

1.

Definitely true

0

4.

Definitely not true

0

999.

Refused

0

3.

Probably not true

0

998.

Don’t know

0

2.

Probably true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Doing More to Balance Budget

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

39

3.

Less

20

2.

Same

175

1.

More

1093

4.

Nothing

14

Variable Format: numeric

Notes: UNF:5:4av7JoAm/TpO1ybTdXjDhQ==

Tax Cuts or Spending More Responsible for Deficit

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Spending increases

0

3.

Something else responsible

0

1.

Tax cuts

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Tax Cuts or Spending More Responsible for Deficit, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Domestic or Foreign Spending More Responsible for Deficit

f2529475 Location:

Value

Label

Frequency

Text

3.

Both equally responsible

0

999.

Refused

0

998.

Don’t know

0

1.

Domestic

0

2.

Defense and foreign

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Best Way to Reduce Deficit

f2529475 Location:

Value

Label

Frequency

Text

4.

Something else is best way

0

998.

Don’t know

0

1.

Increase taxes

0

2.

Reduce spending

0

3.

Reduce Social Security and Medicare

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Best Way to Reduce Deficit, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Domestic or Foreign Spending Cuts Best Way to Reduce Deficit

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Defense and foreign

0

1.

Domestic

0

3.

Both equally

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Cutting Deficit in Half

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both (correct)

0

2.

Kerry

0

999.

Refused

0

1.

Bush

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB59

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Trust Republicans or Democrats on Deficit

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Trust neither

0

998.

Don’t know

0

3.

Trust both the same

0

2.

Democrats

0

1.

Republicans

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Jobs Available in Community

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

35

1.

Plenty

326

999.

Refused

3

2.

Difficult to find

753

3.

Depends on the type of job

80

Variable Format: numeric

Notes: UNF:5:X4jdCwIfcfC//JhGQ/i1zQ==

Know Number of Jobs Gained Under Bush

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Gained more

0

999.

Refused

0

2.

Lost more

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Three Million Jobs Lost Under Bush

f2529475 Location:

Value

Label

Frequency

Text

2.

Probably true

0

1.

Definitely true

0

998.

Don’t know

0

999.

Refused

0

4.

Definitely not true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Increasing Minimum Wage

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

3.

Somewhat oppose

0

999.

Refused

0

2.

Somewhat favor

0

1.

Strongly favor

0

4.

Strongly oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Increasing Minimum Wage

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both

0

2.

Kerry (correct)

0

4.

Neither

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB66

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With New Overtime Regulations

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

New Overtime Regulations Will Increase Personal Pay

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Decrease

0

1.

Increase

0

3.

No difference

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Who Will Benefit Most From New Overtime Regulations

f2529475 Location:

Value

Label

Frequency

Text

4.

Will help neither

0

999.

Refused

0

1.

Corporations

0

2.

Workers

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Making Union Organizing Easier (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Favor

0

999.

Refused

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Making Union Organizing Easier (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Strongly favor

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

998.

Don’t know

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

2.

Kerry (correct)

0

4.

Neither

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB73

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Making Union Organizing Easier (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush

0

999.

Refused

0

3.

Both

0

4.

Neither

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB75

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Trade Has Improved U.S. Economy

f2529475 Location:

Value

Label

Frequency

Text

4.

Hurt a lot

0

998.

Don’t know

0

3.

Hurt a little

0

999.

Refused

0

1.

Helped a lot

0

2.

Helped a little

0

5.

No effect

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Trade Has Improved Personal Economic Situation

f2529475 Location:

Value

Label

Frequency

Text

4.

Hurt a lot

0

999.

Refused

0

1.

Helped a lot

0

2.

Helped a little

0

998.

Don’t know

0

5.

No effect

0

3.

Hurt a little

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Encouraging Trade

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Encourage a little

0

4.

Discourage a lot

0

1.

Encourage a lot

0

999.

Refused

0

3.

Discourage a little

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Favorable to Trade

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat opposes

0

999.

Refused

0

5.

Neither favors nor opposes

0

4.

Strongly opposes

0

998.

Don’t know

0

1.

Strongly favors

0

2.

Somewhat favors

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Favorable to Trade

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly opposes

0

2.

Somewhat favors

0

998.

Don’t know

0

3.

Somewhat opposes

0

999.

Refused

0

5.

Neither favors nor opposes

0

1.

Strongly favors

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor More Trade Agreements

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

732

3.

Somewhat oppose

434

5.

Neither favor nor oppose

148

999.

Refused

5

998.

Don’t know

395

4.

Strongly oppose

641

1.

Strongly favor

395

Variable Format: numeric

Notes: UNF:5:bhvlYsCfvPoBu0ySkJh9fA==

Know Democratic Candidate Who Opposes NAFTA, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

3.

John Edwards (correct)

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

2.

Howard Dean

0

5.

John Kerry

0

999.

Refused

0

10.

Other

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposes NAFTA, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

2.

Howard Dean

0

999.

Refused

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

998.

Don’t know

0

5.

John Kerry

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposes NAFTA, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

9.

Al Sharpton

0

3.

John Edwards (correct)

0

5.

John Kerry

0

10.

Other

0

4.

Richard Gephardt

0

999.

Refused

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposes NAFTA, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Other

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

5.

John Kerry

0

3.

John Edwards (correct)

0

999.

Refused

0

9.

Al Sharpton

0

2.

Howard Dean

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposes NAFTA, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

10.

Other

0

998.

Don’t know

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

3.

John Edwards (correct)

0

999.

Refused

0

5.

John Kerry

0

2.

Howard Dean

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCB83

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Encouraging Outsourcing

f2529475 Location:

Value

Label

Frequency

Text

5.

Stay out

0

4.

Discourage a lot

0

2.

Encourage a little

0

998.

Don’t know

0

1.

Encourage a lot

0

999.

Refused

0

3.

Discourage a little

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Better at Preventing Outsourcing

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

3.

Both would do the same

0

998.

Don’t know

0

4.

Neither would do well

0

999.

Refused

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Do Better Than Kerry at Preventing Outsourcing

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

3.

Will do same job

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Favors Sending Jobs Overseas

f2529475 Location:

Value

Label

Frequency

Text

2.

Probably true

0

4.

Definitely not true

0

998.

Don’t know

0

999.

Refused

0

1.

Definitely true

0

3.

Probably not true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Controlling Health Insurance Costs

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

1.

More

488

2.

Same

38

998.

Don’t know

10

3.

Less

17

4.

Nothing

25

Variable Format: numeric

Notes: UNF:5:fK9NicowDB3mj+o+TM67Bg==

Favor Government Spending More on Health Insurance

f2529475 Location:

Value

Label

Frequency

Text

4.

None

50

3.

Less

68

1.

More

904

2.

Same

283

999.

Refused

4

998.

Don’t know

34

Variable Format: numeric

Notes: UNF:5:8c4jq3w7OfXDdD8zbTLAvg==

Favor Government Health Insurance for Children (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Health Insurance for Children (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

4.

Strongly oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Health Insurance for Workers (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

1.

Favor

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Health Insurance for Workers (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

1.

Strongly favor

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

998.

Don’t know

0

4.

Neither

0

1.

Bush

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC07

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Government Health Insurance for Children and Worker

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry (correct)

0

4.

Neither

0

3.

Both

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC09

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Universal Health Insurance, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

10.

Other

0

4.

Richard Gephardt (correct)

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

5.

John Kerry

0

999.

Refused

0

3.

John Edwards

0

9.

Al Sharpton

0

6.

Dennis Kucinich (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Universal Health Insurance, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich (correct)

0

998.

Don’t know

0

5.

John Kerry

0

4.

Richard Gephardt (correct)

0

10.

Other

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

2.

Howard Dean

0

999.

Refused

0

1.

Wesley Clark

0

3.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Universal Health Insurance, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

7.

Joe Lieberman

0

10.

Other

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

999.

Refused

0

5.

John Kerry

0

6.

Dennis Kucinich (correct)

0

1.

Wesley Clark

0

4.

Richard Gephardt (correct)

0

998.

Don’t know

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Universal Health Insurance, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich (correct)

0

1.

Wesley Clark

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

4.

Richard Gephardt (correct)

0

3.

John Edwards

0

10.

Other

0

2.

Howard Dean

0

999.

Refused

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Universal Health Insurance, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

4.

Richard Gephardt (correct)

0

1.

Wesley Clark

0

999.

Refused

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

10.

Other

0

7.

Joe Lieberman

0

2.

Howard Dean

0

998.

Don’t know

0

6.

Dennis Kucinich (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC11

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Single-Payer Health Care, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

2.

Howard Dean

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

10.

Other

0

999.

Refused

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

1.

Wesley Clark

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Single-Payer Health Care, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

1.

Wesley Clark

0

999.

Refused

0

998.

Don’t know

0

5.

John Kerry

0

3.

John Edwards

0

2.

Howard Dean

0

9.

Al Sharpton

0

10.

Other

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Single-Payer Health Care, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

3.

John Edwards

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

2.

Howard Dean

0

999.

Refused

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

998.

Don’t know

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Single-Payer Health Care, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

5.

John Kerry

0

6.

Dennis Kucinich (correct)

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

2.

Howard Dean

0

3.

John Edwards

0

999.

Refused

0

10.

Other

0

998.

Don’t know

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Favors Single-Payer Health Care, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

3.

John Edwards

0

999.

Refused

0

998.

Don’t know

0

4.

Richard Gephardt

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

1.

Wesley Clark

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC13

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Prescription Coverage for Seniors

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

133

3.

Somewhat oppose

112

998.

Don’t know

46

2.

Somewhat favor

463

5.

Neither favor nor oppose

30

999.

Refused

5

1.

Strongly favor

1961

Variable Format: numeric

Notes: UNF:5:hVCLXo8UyCFdBgRmsGk1yg==

Favor Congress Passing Medicare Prescription Law

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

341

999.

Refused

5

2.

No

361

998.

Don’t know

153

Variable Format: numeric

Notes: UNF:5:RFto2CJos1SyDtP7FbT+yg==

Favor Medicare Prescription Law (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly favor

0

2.

Somewhat favor

0

999.

Refused

0

998.

Don’t know

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Medicare Prescription Law (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Medicare Prescription Law Despite Counterarguments

f2529475 Location:

Value

Label

Frequency

Text

1.

Favor

0

3.

Oppose

0

999.

Refused

0

998.

Don’t know

0

2.

Uncertain

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Oppose Medicare Prescription Law Despite Counterarguments

f2529475 Location:

Value

Label

Frequency

Text

3.

Favor

0

2.

Uncertain

0

998.

Don’t know

0

999.

Refused

0

1.

Oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Seniors or Companies Will Benefit More From Medicare Prescription Law

f2529475 Location:

Value

Label

Frequency

Text

1.

Seniors

0

3.

Both will benefit equally

0

2.

Drug manufacturers

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Medicare Prescription Law

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Both

0

4.

Neither

0

998.

Don’t know

0

1.

Bush (correct)

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC22

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Re-Importing Drugs (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

998.

Don’t know

0

999.

Refused

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Re-Importing Drugs (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

0

1.

Strongly favor

0

2.

Somewhat favor

0

999.

Refused

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Re-Importing Drugs

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

2.

Kerry (correct)

0

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC26

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Negotiating With Drug Companies

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

998.

Don’t know

0

1.

Bush

0

4.

Neither

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC28

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Responsible for Flu Vaccine Shortage

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Not at all

0

2.

Somewhat

0

999.

Refused

0

3.

Slightly

0

1.

Very

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Responsible for Flu Vaccine Shortage

f2529475 Location:

Value

Label

Frequency

Text

1.

Very

0

998.

Don’t know

0

4.

Not at all

0

999.

Refused

0

3.

Slightly

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Social Security in Stock Market (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

6

998.

Don’t know

56

2.

Somewhat favor

386

5.

Neither favor nor oppose

67

4.

Strongly oppose

310

3.

Somewhat oppose

201

1.

Strongly favor

317

Variable Format: numeric

Notes: UNF:5:paeeO6SsuFO4CEdQWuq4Sw==

Favor Social Security in Stock Market (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Favor

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Social Security in Stock Market

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Neither

0

998.

Don’t know

0

3.

Both

0

2.

Kerry

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCC34

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With No Child Left Behind

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

1.

Very

0

999.

Refused

0

4.

Not at all

0

998.

Don’t know

0

3.

Not too

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

No Child Left Behind Has Improved Schools (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Somewhat worse

0

5.

No difference

0

999.

Refused

0

4.

Much worse

0

2.

Somewhat better

0

1.

Much better

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

No Child Left Behind Has Improved Schools (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

4.

Much worse

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat better

0

1.

Much better

0

3.

Somewhat worse

0

5.

No difference

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor School Vouchers

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

541

999.

Refused

5

3.

Somewhat oppose

452

1.

Strongly favor

711

4.

Strongly oppose

887

998.

Don’t know

73

5.

Neither favor nor oppose

81

Variable Format: numeric

Notes: UNF:5:tAYGQPYp3C18l1Di7zu/Dg==

Favor Federal Assistance to Schools

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

26

2.

Same

321

3.

Less

69

4.

None

33

999.

Refused

2

1.

More

892

Variable Format: numeric

Notes: UNF:5:8mVvdfGcNmykpJRbdEqHIA==

Favor Government Trying to Reduce Income Differences

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

26

2.

Somewhat favor

458

1.

Strongly favor

1015

4.

Strongly oppose

625

3.

Somewhat oppose

329

998.

Don’t know

177

5.

Neither favor nor oppose

120

Variable Format: numeric

Notes: UNF:5:t2zmlN1ebSIUcdhsYQhN0Q==

U.S. Is Regarded Differently Because of Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

24

1.

Better

110

3.

No different

197

2.

Worse

380

Variable Format: numeric

Notes: UNF:5:g0jmznYCY3YNc2IKgHW9Nw==

Matters How U.S. Is Regarded Because of Bush

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

49

998.

Don’t know

1

2.

Some

118

999.

Refused

1

1.

Great deal

302

4.

Not at all

19

Variable Format: numeric

Notes: UNF:5:QOLsibq0YAWI5hU5WvZoVg==

Favor Spending on Military

f2529475 Location:

Value

Label

Frequency

Text

2.

Same

562

4.

None

16

3.

Less

161

998.

Don’t know

28

999.

Refused

5

1.

More

571

Variable Format: numeric

Notes: UNF:5:mstx4mOsO2kWE9D8Dc2PeA==

Trust Bush or Kerry to Be Commander-in-Chief

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

4.

Trust neither

0

3.

Trust both the same

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Do Better Than Kerry as Commander-in-Chief

f2529475 Location:

Value

Label

Frequency

Text

3.

Will do same job

0

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

U.S. Too Involved in Trouble Spots Other Than Iraq

f2529475 Location:

Value

Label

Frequency

Text

1.

Too involved

268

3.

Right amount

257

4.

Depends on area

34

2.

Not enough

68

999.

Refused

2

998.

Don’t know

21

Variable Format: numeric

Notes: UNF:5:PTDTSotdrvDMgZ/VE8gUcA==

Favor Moving Troops From Europe and Korea (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Moving Troops From Europe and Korea (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

998.

Don’t know

0

2.

Somewhat favor

0

4.

Strongly oppose

0

1.

Strongly favor

0

999.

Refused

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Moving Troops From Europe and Korea

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

3.

Both

0

4.

Neither

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD09

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Reinstating Draft

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Reinstating Draft

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

1.

Bush

0

4.

Neither (correct)

0

3.

Both

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD12

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Reinstating Draft

f2529475 Location:

Value

Label

Frequency

Text

4.

Neither (correct)

0

2.

Kerry

0

1.

Bush

0

3.

Both

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD14

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Think Bush Will Reinstate Draft

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Think Kerry Will Reinstate Draft

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Veterans Getting Health Care They Were Promised

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Bush Handling Iraq

f2529475 Location:

Value

Label

Frequency

Text

1.

Approve

1276

2.

Disapprove

1378

998.

Don’t know

83

999.

Refused

13

Variable Format: numeric

Notes: UNF:5:fTZutAdG9tOOTc923IGnyw==

Favor Spending on Iraq and Afghanistan

f2529475 Location:

Value

Label

Frequency

Text

2.

Oppose

0

999.

Refused

0

998.

Don’t know

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Iraq War Was Worth It

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

998.

Don’t know

64

2.

No

646

1.

Yes

696

Variable Format: numeric

Notes: UNF:5:8CkWs5FnXGi5tdYXdemBnA==

Iraq War Was Worth It Despite Counterarguments

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

9

998.

Don’t know

6

3.

Not worth it

5

1.

Sure was worth it

332

2.

Uncertain

82

Variable Format: numeric

Notes: UNF:5:Tj+jWfQomlOR5CA9PZGvIw==

Iraq War Was Not Worth It Despite Counterarguments

f2529475 Location:

Value

Label

Frequency

Text

3.

Worth it

15

2.

Uncertain

138

999.

Refused

6

998.

Don’t know

12

1.

Sure was not worth it

238

Variable Format: numeric

Notes: UNF:5:dP20MW+G1wEVlZLHVTqIew==

U.S. Too Quick to Go to War With Iraq

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Right

0

1.

Quick

0

4.

Should not have gone to war at all

0

998.

Don’t know

0

2.

Slow

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cost of Iraq War Was Necessary

f2529475 Location:

Value

Label

Frequency

Text

3.

Should not have spent on either

0

999.

Refused

0

2.

Iraq

0

998.

Don’t know

0

1.

Domestic programs

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Iraq Had WMDs

f2529475 Location:

Value

Label

Frequency

Text

1.

True

0

998.

Don’t know

0

999.

Refused

0

2.

Not true

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Spending on Iraq and Afghanistan

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

1.

Bush (correct)

0

3.

Both

0

4.

Neither

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD27

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposed Iraq War, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean (correct)

0

999.

Refused

0

8.

Carol Moseley Braun

0

10.

Other

0

7.

Joe Lieberman

0

5.

John Kerry

0

1.

Wesley Clark

0

6.

Dennis Kucinich (correct)

0

4.

Richard Gephardt

0

998.

Don’t know

0

3.

John Edwards

0

9.

Al Sharpton (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposed Iraq War, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Dennis Kucinich (correct)

0

999.

Refused

0

4.

Richard Gephardt

0

1.

Wesley Clark

0

9.

Al Sharpton (correct)

0

10.

Other

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

2.

Howard Dean (correct)

0

998.

Don’t know

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposed Iraq War, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

7.

Joe Lieberman

0

9.

Al Sharpton (correct)

0

6.

Dennis Kucinich (correct)

0

10.

Other

0

2.

Howard Dean (correct)

0

3.

John Edwards

0

5.

John Kerry

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposed Iraq War, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

9.

Al Sharpton (correct)

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

999.

Refused

0

6.

Dennis Kucinich (correct)

0

998.

Don’t know

0

1.

Wesley Clark

0

5.

John Kerry

0

10.

Other

0

2.

Howard Dean (correct)

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Opposed Iraq War, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

7.

Joe Lieberman

0

6.

Dennis Kucinich (correct)

0

999.

Refused

0

10.

Other

0

3.

John Edwards

0

9.

Al Sharpton (correct)

0

2.

Howard Dean (correct)

0

4.

Richard Gephardt

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD29

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Iraq War Reduced Risk of Terrorism

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Increased

0

999.

Refused

0

1.

Reduced

0

3.

Made no difference

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Hussein Helped Al Qaeda With 9/11

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Hussein Linked to Al Qaeda

f2529475 Location:

Value

Label

Frequency

Text

1.

True

0

2.

Not true

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Spending More on Rebuilding Iraq

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

53

4.

None

277

3.

Less

479

999.

Refused

8

1.

More

98

2.

Same

428

Variable Format: numeric

Notes: UNF:5:TlFtgTAMBEfHwI5HqnNa6Q==

Favor Keeping Troops in Iraq Until Government Stable

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Bring home

0

999.

Refused

0

1.

Keep in Iraq

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

U.S. or New Government Will Have More Power in Iraq

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Equal

0

2.

U.S. have more

0

1.

Iraq have more

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

U.S. or New Government Will Have Much More Power in Iraq

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Much

0

2.

Little

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Power Transfer in Iraq Will Increase Risk of Terrorism

f2529475 Location:

Value

Label

Frequency

Text

3.

Same

0

999.

Refused

0

1.

Increase

0

2.

Decrease

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

When Troops Should Return Home

f2529475 Location:

Value

Label

Frequency

Text

6.

Less than three months

0

1.

Right away

0

5.

More than one year

0

3.

Six months

0

4.

One year

0

2.

Three months

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

When Troops Will Return Home

f2529475 Location:

Value

Label

Frequency

Text

1.

Three months

0

999.

Refused

0

998.

Don’t know

0

3.

One year

0

2.

Six months

0

4.

More than one year

0

5.

Less than three months

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know How Many Troops in Iraq

f2529475 Location:

Value

Label

Frequency

Text

5.

Other

0

998.

Don’t know

0

2.

80,000

0

999.

Refused

0

3.

115,000 (correct)

0

1.

40,000

0

4.

200,000

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know How Many Troops in Iraq, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Has Plan for Iraq

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Has Plan for Iraq

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Had Plan for Iraq When Voted

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Had Plan for Iraq When Voted

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Soldiers Followed Orders to Mistreat Iraqi Prisoners

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Both on their own and following orders

0

3.

Soldiers did not do it

0

1.

On their own

0

999.

Refused

0

2.

Following orders

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Pentagon Acted Property on Iraqi Prisoner Treatment

f2529475 Location:

Value

Label

Frequency

Text

3.

Soldiers did not do it

0

999.

Refused

0

998.

Don’t know

0

2.

Covered up

0

1.

Acted properly

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Should Apologize for Iraqi Prisoner Treatment

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

3.

Already apologized

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Rumsfeld Should Resign Over Iraqi Prisoner Treatment

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Regular Military Sent to Iraq Properly Prepared

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

2.

No

0

4.

Properly equipped, not trained

0

3.

Properly trained, not equipped

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Guard and Reserves Sent to Iraq Properly Prepared

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

3.

Properly trained, not equipped

0

4.

Properly equipped, not trained

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Pentagon Overburdened Guard and Reserves

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

0

1.

Strongly agree

0

3.

Somewhat disagree

0

2.

Somewhat agree

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Important That Democrats Nominate Iraq War Supporter

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

2.

Less

286

1.

More

143

998.

Don’t know

22

3.

Would make no difference

47

Variable Format: numeric

Notes: UNF:5:nv1jDhtcSL/MwitvJyWjHA==

Halliburton Awarded Contracts Because of Cheney

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

999.

Refused

0

4.

Strongly disagree

0

1.

Strongly agree

0

998.

Don’t know

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Responsible for Missing Explosives in Iraq

f2529475 Location:

Value

Label

Frequency

Text

2.

Not at fault

0

1.

Accountable

0

999.

Refused

0

3.

Partly at fault

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Doing More to Protect Terrorism Targets

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

2.

Same

325

998.

Don’t know

34

4.

Nothing

12

3.

Less

33

1.

More

938

Variable Format: numeric

Notes: UNF:5:AcShGRHoJfZANDt0GhPYAg==

Favor Spending More on Homeland Security

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

2.

Same

534

3.

Less

107

1.

More

632

998.

Don’t know

50

4.

None

19

Variable Format: numeric

Notes: UNF:5:9TEwHGwoeA2a3gtDoMcVEQ==

Feel Safer Because of Government Efforts After 9/11 (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat more

0

5.

Made no difference

0

3.

Somewhat less

0

998.

Don’t know

0

4.

Much less

0

999.

Refused

0

1.

Much more

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Feel Safer Because of Government Efforts After 9/11 (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat less

27

999.

Refused

0

1.

Much more

49

998.

Don’t know

3

5.

Made no difference

28

4.

Much less

15

2.

Somewhat more

186

Variable Format: numeric

Notes: UNF:5:ie64kvv232RpQHEo5qpOiw==

Chance of Terrorist Attack in Next Year

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Bush Handling Terrorism

f2529475 Location:

Value

Label

Frequency

Text

2.

Disapprove

551

1.

Approve

754

998.

Don’t know

31

999.

Refused

7

Variable Format: numeric

Notes: UNF:5:TMuzlYvNANYUDRyBpXMOSQ==

Trust Bush or Kerry on Terrorism

f2529475 Location:

Value

Label

Frequency

Text

3.

Trust both the same

0

998.

Don’t know

0

4.

Trust neither

0

999.

Refused

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Do Better Than Kerry on Terrorism

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

3.

Will do same job

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Clinton or Bush Took Terrorism Threat More Seriously

f2529475 Location:

Value

Label

Frequency

Text

3.

Both took the threat equally seriously

0

998.

Don’t know

0

1.

Clinton’s

0

2.

Bush’s

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Doing More About Potential Terrorists

f2529475 Location:

Value

Label

Frequency

Text

3.

Less

0

2.

Same

0

4.

Nothing

0

1.

More

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Patriot Act

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

11

998.

Don’t know

588

4.

Strongly disapprove

161

1.

Strongly approve

185

3.

Somewhat disapprove

120

2.

Somewhat approve

278

5.

Neither approve nor disapprove

0

Variable Format: numeric

Notes: UNF:5:sfptSSMAJ38IEJTlsqDMuw==

Patriot Act Is Good for Country

f2529475 Location:

Value

Label

Frequency

Text

3.

Neither good nor bad

48

998.

Don’t know

47

999.

Refused

8

2.

Bad

516

1.

Good

788

Variable Format: numeric

Notes: UNF:5:ZcKRz4VioCo5r6tEWUVQqg==

Know if Bush or Kerry Favors Patriot Act (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Neither

0

3.

Both

0

998.

Don’t know

0

1.

Bush (correct)

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD68

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Patriot Act (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

4.

Neither

0

999.

Refused

0

998.

Don’t know

0

1.

Bush (correct)

0

3.

Both

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD70

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor 9/11 Recommendations

f2529475 Location:

Value

Label

Frequency

Text

4.

None

0

2.

Most

0

3.

Some

0

998.

Don’t know

0

1.

All

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush Favors 9/11 Recommendations

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

All

0

4.

None

0

2.

Most

0

999.

Refused

0

3.

Some

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Kerry Favors 9/11 Recommendations

f2529475 Location:

Value

Label

Frequency

Text

4.

None

0

999.

Refused

0

3.

Some

0

2.

Most

0

1.

All

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bin Laden Wants Bush or Kerry to Win

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry

0

1.

Bush

0

3.

Did not care

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Did Everything Possible Against Al Qaeda Before 9/11

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Responsible for Bin Laden at Large

f2529475 Location:

Value

Label

Frequency

Text

2.

Not his fault

0

998.

Don’t know

0

1.

Responsible

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Has Plan for Bin Laden

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Neither has realistic plan

0

3.

Both have equally realistic plans

0

999.

Refused

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Better at Protecting Soviet Nuclear Materials

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both

0

4.

Neither

0

999.

Refused

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCD79

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Job Bush Did Protecting Soviet Nuclear Materials

f2529475 Location:

Value

Label

Frequency

Text

2.

Good

0

999.

Refused

0

3.

Fair

0

1.

Excellent

0

4.

Poor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Restricting Immigration

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

4

998.

Don’t know

47

3.

Less

135

4.

Nothing

49

2.

Same

334

1.

More

774

Variable Format: numeric

Notes: UNF:5:MUyW1WkhgUC7n9qu2d+0gw==

Favor Banning All Abortions

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

446

5.

Neither favor nor oppose

110

4.

Strongly oppose

1310

999.

Refused

15

2.

Somewhat favor

178

998.

Don’t know

67

1.

Strongly favor

624

Variable Format: numeric

Notes: UNF:5:sNjscDkuSnFXka9US4IkrA==

Favor Making Abortion More Difficult

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

999.

Refused

0

4.

Strongly oppose

0

1.

Strongly favor

0

2.

Somewhat favor

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Making Abortion More Difficult

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

999.

Refused

0

998.

Don’t know

0

1.

Bush (correct)

0

4.

Neither

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE03

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Banning Late-Term Abortions (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither favor nor oppose

57

998.

Don’t know

84

4.

Strongly oppose

462

999.

Refused

6

1.

Strongly favor

428

2.

Somewhat favor

124

3.

Somewhat oppose

182

Variable Format: numeric

Notes: UNF:5:l3clTbkOUJ7MNccHypHiVg==

Favor Banning Late-Term Abortions (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

4

5.

Neither favor nor oppose

64

3.

Somewhat oppose

189

998.

Don’t know

72

1.

Strongly favor

503

2.

Somewhat favor

129

4.

Strongly oppose

446

Variable Format: numeric

Notes: UNF:5:wae0G43yWGmkpAEwGxyR5Q==

Favor Stem Cell Funding (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Oppose

0

1.

Favor

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Stem Cell Funding (Wording #2 and No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Oppose

0

1.

Favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Stem Cell Funding (Wording #2 and Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

998.

Don’t know

0

999.

Refused

0

5.

Neither favor nor oppose

0

1.

Strongly favor

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

4.

Neither

0

3.

Both

0

999.

Refused

0

998.

Don’t know

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE10

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Stem Cell Funding (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry (correct)

0

4.

Neither

0

1.

Bush

0

998.

Don’t know

0

3.

Both

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE12

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Additional Stem Cell Lines

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

1.

Strongly favor

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

998.

Don’t know

0

999.

Refused

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Additional Stem Cell Lines

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

4.

Neither

0

999.

Refused

0

2.

Kerry (correct)

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE15

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Federal Marriage Amendment (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly favor

805

2.

Somewhat favor

222

5.

Neither favor nor oppose

197

3.

Somewhat oppose

398

998.

Don’t know

68

999.

Refused

18

4.

Strongly oppose

1042

Variable Format: numeric

Notes: UNF:5:FE/pLrWupDcXTiSuG8Qrxw==

Favor Federal Marriage Amendment (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat oppose

0

2.

Somewhat favor

0

4.

Strongly oppose

0

998.

Don’t know

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Federal Marriage Amendment (Wording #3)

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

998.

Don’t know

0

1.

Strongly favor

0

2.

Somewhat favor

0

5.

Neither favor nor oppose

0

4.

Strongly oppose

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Federal Marriage Amendment (Wording #4)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Federal Marriage Amendment (Wording #5)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

2.

Somewhat favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor State Law Allowing Same-Sex Marriage (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly favor

242

998.

Don’t know

86

4.

Strongly oppose

575

999.

Refused

8

3.

Somewhat oppose

147

2.

Somewhat favor

229

Variable Format: numeric

Notes: UNF:5:184HsoTrHrKtoB2hfrdmfA==

Favor State Law Allowing Same-Sex Marriage (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat favor

0

1.

Strongly favor

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor State Law Allowing Civil Unions

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly favor

84

999.

Refused

4

2.

Somewhat favor

199

998.

Don’t know

34

3.

Somewhat oppose

100

4.

Strongly oppose

301

Variable Format: numeric

Notes: UNF:5:Am82tjHZ9Uue61WWo71cmg==

More Likely to Vote for Candidate Favoring Same-Sex Unions

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat less

183

4.

Much less

328

2.

Somewhat more

256

5.

Would not matter

234

999.

Refused

5

1.

Much more

117

998.

Don’t know

44

Variable Format: numeric

Notes: UNF:5:JWFbDUwQBWTHzyaHmZ6iDA==

Favor Gays in Military

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Prohibiting Employment Discrimination Against Gays

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

10

1.

Strongly favor

346

2.

Somewhat favor

154

3.

Somewhat oppose

166

4.

Strongly oppose

421

998.

Don’t know

70

Variable Format: numeric

Notes: UNF:5:o+0K30Uft1wRL6xuahI1YQ==

Offended by Redskins’ Name

f2529475 Location:

Value

Label

Frequency

Text

1.

Offensive

4

999.

Refused

0

998.

Don’t know

0

2.

Does not bother

31

Variable Format: numeric

Notes: UNF:5:yGHVV8h5T0fSrz8fC8teBg==

Favor Gun Control

f2529475 Location:

Value

Label

Frequency

Text

3.

Less

131

4.

Nothing

133

999.

Refused

3

998.

Don’t know

28

1.

More

751

2.

Same

297

Variable Format: numeric

Notes: UNF:5:gHEgOqI5/rG4+4WX5wSNbQ==

Favor Congress Extending Assault Weapons Ban

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

1028

998.

Don’t know

72

999.

Refused

8

2.

No

299

Variable Format: numeric

Notes: UNF:5:fG4w80n3S2mOje+oMIkXTA==

Favor Assault Weapons Ban (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Favor

0

998.

Don’t know

0

2.

Oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Assault Weapons Ban (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat favor

0

998.

Don’t know

0

999.

Refused

0

4.

Strongly oppose

0

3.

Somewhat oppose

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

4.

Neither

0

1.

Bush

0

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

3.

Both (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE35

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Assault Weapons Ban (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

2.

Kerry

0

998.

Don’t know

0

3.

Both (correct)

0

999.

Refused

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCE37

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Would Do More on Foreign Oil

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

998.

Don’t know

0

2.

Kerry

0

999.

Refused

0

3.

Both

0

4.

Neither

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCF02

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Do More Than Kerry on Foreign Oil

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gas Prices Caused Personal Financial Hardship (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, serious

0

999.

Refused

0

998.

Don’t know

0

3.

No

0

2.

Not serious

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gas Prices Caused Personal Financial Hardship (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

No

0

998.

Don’t know

0

2.

Not serious

0

1.

Yes, serious

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Change Vacation Plans Because of Gas Prices

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Not planning a vacation

0

1.

Yes

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Government Doing More on Environment

f2529475 Location:

Value

Label

Frequency

Text

3.

Less

53

998.

Don’t know

12

1.

More

914

4.

Nothing

20

999.

Refused

3

2.

Same

341

Variable Format: numeric

Notes: UNF:5:zdRhRwnaRTD0YVAh+BqqSg==

Global Warming Is Serious Problem

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat

0

998.

Don’t know

0

3.

Not too

0

999.

Refused

0

4.

Not at all

0

1.

Very

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Limiting Lawsuits (No Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Oppose

0

1.

Favor

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Limiting Lawsuits (Strongly Follow-Up)

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

999.

Refused

0

2.

Somewhat favor

0

3.

Somewhat oppose

0

998.

Don’t know

0

1.

Strongly favor

0

5.

Neither favor nor oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

4.

Neither

0

999.

Refused

0

1.

Bush (correct)

0

2.

Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCG03

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Limiting Lawsuits (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Neither

0

1.

Bush (correct)

0

998.

Don’t know

0

3.

Both

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCG05

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Limiting Malpractice Awards

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat oppose

0

998.

Don’t know

0

5.

Neither favor nor oppose

0

999.

Refused

0

2.

Somewhat favor

0

1.

Strongly favor

0

4.

Strongly oppose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Favors Limiting Malpractice Awards

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

Neither

0

3.

Both

0

2.

Kerry

0

1.

Bush (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCG08

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supreme Court Important in Vote

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Comfortable With Bush Making Supreme Court Nominations

f2529475 Location:

Value

Label

Frequency

Text

1.

Very comfortable

0

998.

Don’t know

0

4.

Somewhat uncomfortable

0

999.

Refused

0

3.

Neither comfortable nor uncomfortable

0

2.

Somewhat comfortable

0

5.

Very uncomfortable

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Comfortable With Kerry Making Supreme Court Nominations

f2529475 Location:

Value

Label

Frequency

Text

1.

Very comfortable

0

5.

Very uncomfortable

0

999.

Refused

0

2.

Somewhat comfortable

0

4.

Somewhat uncomfortable

0

3.

Neither comfortable nor uncomfortable

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Supreme Court Salary

f2529475 Location:

Value

Label

Frequency

Text

4.

Less than $193,000

0

5.

More than $201,000

0

998.

Don’t know

0

1.

$193,000 (correct)

0

2.

$201,000

0

999.

Refused

0

3.

$193,000–$201,000

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCH04

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anything come

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supreme Court Salary Too High

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Too much

0

3.

Right

0

2.

Too little

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know President’s Salary

f2529475 Location:

Value

Label

Frequency

Text

1.

$400,000 (correct)

0

3.

$200,000–$400,000

0

998.

Don’t know

0

4.

Less than $200,000

0

2.

$200,000

0

5.

More than $400,000

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cCH07

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anything come

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

President’s Salary Too High

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

3.

Right

0

2.

Too little

0

1.

Too much

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Important That Democrats Nominate Vietnam Veteran

f2529475 Location:

Value

Label

Frequency

Text

4.

Very unimportant

85

5.

Neither important nor unimportant

7

998.

Don’t know

5

3.

Somewhat unimportant

151

999.

Refused

2

2.

Somewhat important

147

1.

Very important

68

Variable Format: numeric

Notes: UNF:5:6COtpWB1HvqGHJ3Vr+RPPA==

Know Democratic Candidate Who Is Vietnam Veteran, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

10.

Other

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

1.

Wesley Clark (correct)

0

2.

Howard Dean

0

999.

Refused

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Vietnam Veteran, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

10.

Other

0

5.

John Kerry (correct)

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

999.

Refused

0

998.

Don’t know

0

1.

Wesley Clark (correct)

0

3.

John Edwards

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Vietnam Veteran, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

7.

Joe Lieberman

0

10.

Other

0

6.

Dennis Kucinich

0

3.

John Edwards

0

4.

Richard Gephardt

0

5.

John Kerry (correct)

0

2.

Howard Dean

0

1.

Wesley Clark (correct)

0

9.

Al Sharpton

0

999.

Refused

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Vietnam Veteran, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

7.

Joe Lieberman

0

3.

John Edwards

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

999.

Refused

0

10.

Other

0

1.

Wesley Clark (correct)

0

2.

Howard Dean

0

5.

John Kerry (correct)

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Vietnam Veteran, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

7.

Joe Lieberman

0

10.

Other

0

2.

Howard Dean

0

1.

Wesley Clark (correct)

0

4.

Richard Gephardt

0

3.

John Edwards

0

9.

Al Sharpton

0

999.

Refused

0

8.

Carol Moseley Braun

0

6.

Dennis Kucinich

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA02

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Is Vietnam Veteran, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Joe Lieberman

0

6.

John Kerry (correct)

0

2.

Wesley Clark (correct)

0

7.

Dennis Kucinich

0

11.

Other

0

10.

Al Sharpton

0

998.

Don’t know

0

4.

John Edwards

0

3.

Howard Dean

0

9.

Carol Moseley Braun

0

999.

Refused

0

1.

George W. Bush

0

5.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Is Vietnam Veteran, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

John Kerry (correct)

0

5.

Richard Gephardt

0

8.

Joe Lieberman

0

3.

Howard Dean

0

998.

Don’t know

0

999.

Refused

0

7.

Dennis Kucinich

0

4.

John Edwards

0

2.

Wesley Clark (correct)

0

9.

Carol Moseley Braun

0

10.

Al Sharpton

0

1.

George W. Bush

0

11.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Is Vietnam Veteran, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

George W. Bush

0

6.

John Kerry (correct)

0

10.

Al Sharpton

0

998.

Don’t know

0

8.

Joe Lieberman

0

9.

Carol Moseley Braun

0

999.

Refused

0

2.

Wesley Clark (correct)

0

3.

Howard Dean

0

4.

John Edwards

0

7.

Dennis Kucinich

0

5.

Richard Gephardt

0

11.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Is Vietnam Veteran, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Wesley Clark (correct)

0

5.

Richard Gephardt

0

11.

Other

0

9.

Carol Moseley Braun

0

6.

John Kerry (correct)

0

7.

Dennis Kucinich

0

999.

Refused

0

4.

John Edwards

0

3.

Howard Dean

0

1.

George W. Bush

0

998.

Don’t know

0

8.

Joe Lieberman

0

10.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Is Vietnam Veteran, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Dennis Kucinich

0

11.

Other

0

1.

George W. Bush

0

2.

Wesley Clark (correct)

0

10.

Al Sharpton

0

6.

John Kerry (correct)

0

5.

Richard Gephardt

0

3.

Howard Dean

0

9.

Carol Moseley Braun

0

8.

Joe Lieberman

0

999.

Refused

0

998.

Don’t know

0

4.

John Edwards

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA04

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Kerry’s Anti-War Activities

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Disapprove

0

1.

Approve

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry’s Anti-War Activities Will Affect Vote

f2529475 Location:

Value

Label

Frequency

Text

5.

Would not vote

0

3.

Not much

0

2.

Some

0

998.

Don’t know

0

4.

Not at all

0

999.

Refused

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Earned Vietnam Medals

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Kerry’s Anti-War Statements

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Kerry’s Anti-War Statements (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly approve

0

4.

Strongly disapprove

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat approve

0

3.

Somewhat disapprove

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Approve of Kerry’s Anti-War Statements (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly approve

0

998.

Don’t know

0

5.

Neither approve nor disapprove

0

4.

Strongly disapprove

0

3.

Somewhat disapprove

0

2.

Somewhat approve

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched or Familiar With Swift Boat Ad

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, seen

0

999.

Refused

0

2.

Heard

0

3.

Have not seen or heard

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Swift Boat Ad Believable

f2529475 Location:

Value

Label

Frequency

Text

1.

Very believable

0

3.

Somewhat unbelievable

0

4.

Very unbelievable

0

999.

Refused

0

998.

Don’t know

0

2.

Somewhat believable

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Campaign Behind Swift Boat Ad

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No connection

0

999.

Refused

0

1.

Bush behind

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Fulfilled National Guard Obligations

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush in National Guard Will Affect Vote

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

0

5.

Would not vote

0

2.

Some

0

998.

Don’t know

0

1.

Great deal

0

999.

Refused

0

4.

Not at all

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Kerry Is Former Prosecutor

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

4.

Neither

0

3.

Both

0

998.

Don’t know

0

2.

Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA17

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Ran for Vice President in 2000, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman (correct)

0

5.

John Kerry

0

10.

Other

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

999.

Refused

0

3.

John Edwards

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Ran for Vice President in 2000, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

2.

Howard Dean

0

7.

Joe Lieberman (correct)

0

3.

John Edwards

0

998.

Don’t know

0

10.

Other

0

4.

Richard Gephardt

0

5.

John Kerry

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

9.

Al Sharpton

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Ran for Vice President in 2000, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

7.

Joe Lieberman (correct)

0

9.

Al Sharpton

0

10.

Other

0

3.

John Edwards

0

4.

Richard Gephardt

0

5.

John Kerry

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Ran for Vice President in 2000, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Other

0

1.

Wesley Clark

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

999.

Refused

0

4.

Richard Gephardt

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

998.

Don’t know

0

7.

Joe Lieberman (correct)

0

2.

Howard Dean

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Ran for Vice President in 2000, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

10.

Other

0

4.

Richard Gephardt

0

7.

Joe Lieberman (correct)

0

5.

John Kerry

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

999.

Refused

0

9.

Al Sharpton

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA19

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was House Majority Leader, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

2.

Howard Dean

0

3.

John Edwards

0

999.

Refused

0

1.

Wesley Clark

0

4.

Richard Gephardt (correct)

0

10.

Other

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was House Majority Leader, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

10.

Other

0

1.

Wesley Clark

0

2.

Howard Dean

0

998.

Don’t know

0

999.

Refused

0

5.

John Kerry

0

4.

Richard Gephardt (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was House Majority Leader, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

5.

John Kerry

0

10.

Other

0

3.

John Edwards

0

999.

Refused

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was House Majority Leader, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

10.

Other

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt (correct)

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

3.

John Edwards

0

999.

Refused

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was House Majority Leader, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

999.

Refused

0

7.

Joe Lieberman

0

3.

John Edwards

0

1.

Wesley Clark

0

9.

Al Sharpton

0

4.

Richard Gephardt (correct)

0

5.

John Kerry

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA21

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Son of Mill Worker, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Wesley Clark

0

2.

Howard Dean

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

3.

John Edwards (correct)

0

998.

Don’t know

0

5.

John Kerry

0

10.

Other

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Son of Mill Worker, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

3.

John Edwards (correct)

0

10.

Other

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

5.

John Kerry

0

999.

Refused

0

1.

Wesley Clark

0

2.

Howard Dean

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Son of Mill Worker, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

998.

Don’t know

0

7.

Joe Lieberman

0

10.

Other

0

3.

John Edwards (correct)

0

1.

Wesley Clark

0

5.

John Kerry

0

2.

Howard Dean

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Son of Mill Worker, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

4.

Richard Gephardt

0

5.

John Kerry

0

1.

Wesley Clark

0

998.

Don’t know

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

8.

Carol Moseley Braun

0

9.

Al Sharpton

0

999.

Refused

0

10.

Other

0

3.

John Edwards (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Is Son of Mill Worker, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

999.

Refused

0

998.

Don’t know

0

10.

Other

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

3.

John Edwards (correct)

0

5.

John Kerry

0

2.

Howard Dean

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA23

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a General, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

5.

John Kerry

0

4.

Richard Gephardt

0

1.

Wesley Clark (correct)

0

10.

Other

0

9.

Al Sharpton

0

998.

Don’t know

0

3.

John Edwards

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a General, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

10.

Other

0

7.

Joe Lieberman

0

2.

Howard Dean

0

1.

Wesley Clark (correct)

0

998.

Don’t know

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

999.

Refused

0

5.

John Kerry

0

9.

Al Sharpton

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a General, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Richard Gephardt

0

5.

John Kerry

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

9.

Al Sharpton

0

999.

Refused

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

10.

Other

0

3.

John Edwards

0

1.

Wesley Clark (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a General, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark (correct)

0

2.

Howard Dean

0

998.

Don’t know

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

999.

Refused

0

10.

Other

0

3.

John Edwards

0

6.

Dennis Kucinich

0

5.

John Kerry

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a General, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

3.

John Edwards

0

7.

Joe Lieberman

0

1.

Wesley Clark (correct)

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA25

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was Governor of Vermont, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

John Kerry

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

2.

Howard Dean (correct)

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was Governor of Vermont, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

4.

Richard Gephardt

0

2.

Howard Dean (correct)

0

8.

Carol Moseley Braun

0

10.

Other

0

999.

Refused

0

3.

John Edwards

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

7.

Joe Lieberman

0

998.

Don’t know

0

5.

John Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was Governor of Vermont, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry

0

2.

Howard Dean (correct)

0

9.

Al Sharpton

0

998.

Don’t know

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

4.

Richard Gephardt

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

6.

Dennis Kucinich

0

10.

Other

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was Governor of Vermont, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

2.

Howard Dean (correct)

0

9.

Al Sharpton

0

998.

Don’t know

0

999.

Refused

0

8.

Carol Moseley Braun

0

3.

John Edwards

0

5.

John Kerry

0

10.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was Governor of Vermont, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Other

0

2.

Howard Dean (correct)

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

5.

John Kerry

0

3.

John Edwards

0

4.

Richard Gephardt

0

9.

Al Sharpton

0

998.

Don’t know

0

1.

Wesley Clark

0

999.

Refused

0

8.

Carol Moseley Braun

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA27

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a Trial Lawyer, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards (correct)

0

6.

Dennis Kucinich

0

4.

Richard Gephardt

0

10.

Other

0

2.

Howard Dean

0

9.

Al Sharpton

0

8.

Carol Moseley Braun

0

999.

Refused

0

5.

John Kerry

0

998.

Don’t know

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a Trial Lawyer, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

999.

Refused

0

2.

Howard Dean

0

5.

John Kerry

0

1.

Wesley Clark

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

10.

Other

0

4.

Richard Gephardt

0

998.

Don’t know

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a Trial Lawyer, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

10.

Other

0

999.

Refused

0

7.

Joe Lieberman

0

3.

John Edwards (correct)

0

2.

Howard Dean

0

5.

John Kerry

0

6.

Dennis Kucinich

0

998.

Don’t know

0

9.

Al Sharpton

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a Trial Lawyer, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

4.

Richard Gephardt

0

9.

Al Sharpton

0

998.

Don’t know

0

7.

Joe Lieberman

0

5.

John Kerry

0

3.

John Edwards (correct)

0

10.

Other

0

1.

Wesley Clark

0

8.

Carol Moseley Braun

0

2.

Howard Dean

0

999.

Refused

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Democratic Candidate Who Was a Trial Lawyer, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

3.

John Edwards (correct)

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

2.

Howard Dean

0

999.

Refused

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

10.

Other

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cDA29

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Network News in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:epxiDkd1X4WziyBmVjOUUQ==

Network News Channel Watched Most

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

3.

nbc

581

4.

pbs

132

2.

cbs

399

1.

abc

581

998.

Don’t know

128

Variable Format: numeric

Notes: UNF:5:SrVpmGG9iDlhKLhl98ny8g==

Watched Cable News in Past Week

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:J4jAVgir5BZj7vV3u/iG1Q==

Cable News Channel Watched Most

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

16

999.

Refused

0

5.

Other

46

4.

All three equally

103

1.

fox

603

3.

msnbc

235

2.

cnn

881

Variable Format: numeric

Notes: UNF:5:rfo3lw01WQWINCqfx/YiRw==

Cable News Channel Watched Most, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:u0I/17thOqV3w8CvyFPhbQ==

Attention to Political News on Network or Cable TV in Past Week

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

4.

None

472

1.

Great deal

275

3.

Not much

662

2.

Some

948

998.

Don’t know

8

Variable Format: numeric

Notes: UNF:5:drHeMJoYGLGQ/udYKhtxXg==

Watched Local News in Past Week

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

11

Variable Format: numeric

Notes: UNF:5:F8Ql+AgwUQa+KpcixcJR9A==

Attention to Political News on Local TV in Past Week

f2529475 Location:

Value

Label

Frequency

Text

4.

None

628

1.

Great deal

152

2.

Some

760

3.

Not much

653

998.

Don’t know

15

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:t3Rd1iNPh/jggYmaUWkrBw==

Watched Spanish News in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:PSONhIZ79N06TrpHPG4WCg==

Watched BET News in Past Week

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Read Newspaper in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:0AhkT6ibMJbhRC9HfMv9qg==

Newspaper Read Most

f2529475 Location:

Value

Label

Frequency

Text

35.

Other

1493

18.

New York Daily News

11

16.

Miami Herald

10

4.

Boston Globe

20

6.

Chicago Tribune

25

23.

Orange County Register

11

29.

San Jose Mercury News

11

15.

Manchester Union-Leader

1

30.

St. Louis Post-Dispatch

20

12.

Detroit Free Press

13

32.

USA Today

52

33.

Wall Street Journal

25

24.

Oregonian

16

5.

Chicago Sun-Times

9

27.

San Diego Union-Tribune

4

13.

Houston Chronicle

20

28.

San Francisco Chronicle

24

25.

Philadelphia Inquirer

14

17.

Minneapolis Star Tribune

18

1.

Arizona Republic

29

999.

Refused

0

20.

New York Times

90

9.

Dallas Morning News

18

998.

Don’t know

55

21.

Newark Star-Ledger

7

31.

St. Petersburg Times

19

3.

Baltimore Sun

6

14.

Los Angeles Times

48

10.

Denver Post

11

26.

Rocky Mountain News

9

7.

Cleveland Plain Dealer

7

19.

New York Post

18

11.

Des Moines Register

6

8.

Concord Monitor

4

22.

Newsday

10

2.

Atlanta Constitution

11

34.

Washington Post

35

Variable Format: numeric

Notes: UNF:5:yaMKI/2rUK179N2WpvA2cw==

Newspaper Read Most, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:9SZm3WZHTApX4fSV3oZA9Q==

Read Wall Street Journal Editorial Page

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Rarely

9

2.

Occasionally

6

4.

Never

1

999.

Refused

0

1.

Regularly

9

Variable Format: numeric

Notes: UNF:5:obpJW4j/VU/99kWtvRLObA==

Attention to Political News in Newspaper in Past Week

f2529475 Location:

Value

Label

Frequency

Text

2.

Some

819

998.

Don’t know

10

999.

Refused

0

4.

None

517

1.

Great deal

262

3.

Not much

572

Variable Format: numeric

Notes: UNF:5:SwCi0pbTteiQ1iV99s3v2Q==

Listened to NPR in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

19

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:k8ekGBIrX9f/w7vre+4fgQ==

Listened to Talk Radio Other Than NPR in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

9

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:5ilXW+T6oOvhdFdUKhfjmg==

Talk Radio Programs Listened to in Past Week, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Dr. Dean Edell

3

20.

Diane Rehm

10

28.

Other

431

25.

“Talk of the Nation”

6

10.

Sean Hannity

45

18.

NPR (unspecified)

186

26.

Armstrong Williams

0

15.

G. Gordon Liddy

5

17.

“Morning Edition” with Bob Edwards

12

7.

Ken and Daria Dolan

0

11.

Don Imus

11

3.

Jim Bohannon

2

19.

Bill O’Reilly

21

24.

Howard Stern

24

4.

Bob Brinker

1

13.

Tom Joyner

7

999.

Refused

17

6.

Howie Carr

2

23.

Doug Stephan

0

21.

Michael Savage

15

8.

Don and Mike

1

22.

Tavis Smiley

3

16.

Rush Limbaugh

196

14.

Tom Leykis

1

27.

Bruce Williams

2

998.

Don’t know

313

5.

Dr. Joy Browne

1

2.

Art Bell

0

12.

John and Ken

4

1.

“All Things Considered”

32

Variable Format: numeric

Notes: UNF:5:5Ue5WVpiW44uXMWRarHNOw==

Talk Radio Programs Listened to in Past Week, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Howie Carr

2

2.

Art Bell

2

14.

Tom Leykis

1

21.

Michael Savage

11

28.

Other

87

20.

Diane Rehm

3

9.

Dr. Dean Edell

0

15.

G. Gordon Liddy

1

999.

Refused

0

17.

“Morning Edition” with Bob Edwards

8

19.

Bill O’Reilly

9

18.

NPR (unspecified)

8

16.

Rush Limbaugh

25

10.

Sean Hannity

25

4.

Bob Brinker

0

13.

Tom Joyner

0

26.

Armstrong Williams

0

23.

Doug Stephan

0

27.

Bruce Williams

0

7.

Ken and Daria Dolan

0

3.

Jim Bohannon

1

1.

“All Things Considered”

7

11.

Don Imus

1

22.

Tavis Smiley

0

25.

“Talk of the Nation”

4

12.

John and Ken

2

5.

Dr. Joy Browne

1

24.

Howard Stern

4

8.

Don and Mike

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:mMVM2mIt1hbqWsgEj5gBFw==

Talk Radio Programs Listened to in Past Week, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

27.

Bruce Williams

0

21.

Michael Savage

6

4.

Bob Brinker

0

17.

“Morning Edition” with Bob Edwards

0

8.

Don and Mike

0

999.

Refused

0

5.

Dr. Joy Browne

0

26.

Armstrong Williams

0

24.

Howard Stern

0

10.

Sean Hannity

9

28.

Other

27

1.

“All Things Considered”

0

19.

Bill O’Reilly

6

15.

G. Gordon Liddy

3

20.

Diane Rehm

1

14.

Tom Leykis

0

12.

John and Ken

0

7.

Ken and Daria Dolan

0

3.

Jim Bohannon

0

11.

Don Imus

0

22.

Tavis Smiley

0

2.

Art Bell

0

998.

Don’t know

0

25.

“Talk of the Nation”

1

16.

Rush Limbaugh

3

13.

Tom Joyner

0

9.

Dr. Dean Edell

1

23.

Doug Stephan

0

18.

NPR (unspecified)

3

6.

Howie Carr

0

Variable Format: numeric

Notes: UNF:5:GIERvlu2bOe06yb0WNtlbg==

Talk Radio Programs Listened to in Past Week, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

Jim Bohannon

0

21.

Michael Savage

2

13.

Tom Joyner

0

9.

Dr. Dean Edell

0

26.

Armstrong Williams

0

999.

Refused

0

998.

Don’t know

0

22.

Tavis Smiley

0

1.

“All Things Considered”

1

28.

Other

11

27.

Bruce Williams

0

5.

Dr. Joy Browne

0

8.

Don and Mike

0

10.

Sean Hannity

1

24.

Howard Stern

0

25.

“Talk of the Nation”

0

7.

Ken and Daria Dolan

0

4.

Bob Brinker

0

14.

Tom Leykis

0

11.

Don Imus

0

17.

“Morning Edition” with Bob Edwards

0

19.

Bill O’Reilly

3

12.

John and Ken

0

2.

Art Bell

0

6.

Howie Carr

0

23.

Doug Stephan

0

18.

NPR (unspecified)

0

16.

Rush Limbaugh

0

15.

G. Gordon Liddy

0

20.

Diane Rehm

0

Variable Format: numeric

Notes: UNF:5:E+NsvNWQoLC4Dhz52Gj84A==

Talk Radio Programs Listened to in Past Week, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

Howie Carr

0

7.

Ken and Daria Dolan

0

26.

Armstrong Williams

0

15.

G. Gordon Liddy

0

998.

Don’t know

0

20.

Diane Rehm

0

13.

Tom Joyner

0

23.

Doug Stephan

0

999.

Refused

0

17.

“Morning Edition” with Bob Edwards

0

14.

Tom Leykis

0

28.

Other

1

22.

Tavis Smiley

0

24.

Howard Stern

0

18.

NPR (unspecified)

0

9.

Dr. Dean Edell

0

21.

Michael Savage

0

10.

Sean Hannity

0

25.

“Talk of the Nation”

0

19.

Bill O’Reilly

0

5.

Dr. Joy Browne

0

12.

John and Ken

0

3.

Jim Bohannon

0

27.

Bruce Williams

0

16.

Rush Limbaugh

0

4.

Bob Brinker

0

11.

Don Imus

0

2.

Art Bell

0

8.

Don and Mike

0

1.

“All Things Considered”

0

Variable Format: numeric

Notes: UNF:5:4pkbmd+DESc0Nwu1ZwQocw==

Talk Radio Programs Listened to in Past Week, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:JPRTU63bCbSqSQIyoKpf0g==

Talk Radio Program Listen to Most

f2529475 Location:

Value

Label

Frequency

Text

3.

Jim Bohannon

0

25.

“Talk of the Nation”

1

14.

Tom Leykis

0

2.

Art Bell

1

10.

Sean Hannity

21

13.

Tom Joyner

0

18.

NPR (unspecified)

13

23.

Doug Stephan

0

12.

John and Ken

0

27.

Bruce Williams

1

6.

Howie Carr

1

16.

Rush Limbaugh

46

998.

Don’t know

9

21.

Michael Savage

4

20.

Diane Rehm

2

15.

G. Gordon Liddy

2

999.

Refused

0

28.

Other

62

5.

Dr. Joy Browne

0

22.

Tavis Smiley

0

1.

“All Things Considered”

14

7.

Ken and Daria Dolan

0

11.

Don Imus

3

4.

Bob Brinker

0

9.

Dr. Dean Edell

1

26.

Armstrong Williams

0

24.

Howard Stern

8

19.

Bill O’Reilly

7

8.

Don and Mike

0

17.

“Morning Edition” with Bob Edwards

6

Variable Format: numeric

Notes: UNF:5:XlAbxWEtb2Iu7QRuRL5eTw==

Talk Radio Program Listen to Most, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:TIb17WPBNw27p0UrA2gEpA==

Watched Late-Night Comedy in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

1

999.

Refused

2

Variable Format: numeric

Notes: UNF:5:5uqzRJ2QnXjTl7t359p7og==

Late-Night Comedy Program Watched Most (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

4

3.

Stewart

93

2.

Leno

347

4.

Other

52

1.

Letterman

318

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:pxDFeVLGYZDKvZ/mEWgjEw==

Late-Night Comedy Program Watched Most (Wording #1), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:BPKIk6XTH7Qlm3sleXmk2g==

Late-Night Comedy Program Watched Most (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Leno

0

4.

O’Brien

0

3.

Stewart

0

5.

Other

0

1.

Letterman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Late-Night Comedy Program Watched Most (Wording #2), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Have Online Access

f2529475 Location:

Value

Label

Frequency

Text

2.

No

639

1.

Yes

2104

998.

Don’t know

4

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:6xgytjzENMzTvZuE+woi0Q==

Accessed Political Information Online in Past Week (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:5717bEQEKBfph+r10l1C2Q==

Accessed Political Information Online in Past Week (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Online Political Information in Past Week, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

2.

News organization’s

215

999.

Refused

1

998.

Don’t know

22

3.

Other

87

1.

Candidate’s

44

Variable Format: numeric

Notes: UNF:5:ySKur5XrEz64WRWK+PHwRg==

Source of Online Political Information in Past Week, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Other

7

1.

Candidate’s

2

998.

Don’t know

0

2.

News organization’s

11

Variable Format: numeric

Notes: UNF:5:UvxXxBxkxGRxa/k1a6k2nw==

Source of Online Political Information in Past Week, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

4

2.

News organization’s

0

999.

Refused

0

1.

Candidate’s

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:CDzElvU5avK7HiChNwvsNg==

Source of Online Political Information in Past Week, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:s4W8iOA/9lM4ZnqGIqxJaw==

Media Have Decided Democratic Frontrunner

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Wide-open

0

998.

Don’t know

0

1.

Frontrunner

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Democratic Candidate Who Media Think Is Frontrunner

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark

0

3.

John Edwards

0

999.

Refused

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

998.

Don’t know

0

5.

John Kerry

0

4.

Richard Gephardt

0

10.

Other

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Radio

0

3.

Newspaper

0

1.

Television

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

999.

Refused

0

4.

Online

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Online

0

2.

Radio

0

5.

Other

0

3.

Newspaper

0

998.

Don’t know

0

6.

Did not get results on Election Day

0

1.

Television

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

2.

Radio

0

6.

Did not get results on Election Day

0

999.

Refused

0

5.

Other

0

4.

Online

0

998.

Don’t know

0

1.

Television

0

3.

Newspaper

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Radio

0

5.

Other

0

4.

Online

0

1.

Television

0

6.

Did not get results on Election Day

0

998.

Don’t know

0

3.

Newspaper

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

Newspaper

0

2.

Radio

0

5.

Other

0

998.

Don’t know

0

6.

Did not get results on Election Day

0

1.

Television

0

999.

Refused

0

4.

Online

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Source of Information About General Election Results, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for General Election Coverage

f2529475 Location:

Value

Label

Frequency

Text

3.

nbc

0

998.

Don’t know

0

4.

cnn

0

6.

msnbc

0

2.

cbs

0

999.

Refused

0

10.

Did not watch or listen

0

1.

Yes, ABC

0

7.

pbs

0

9.

Other

0

8.

C-SPAN

0

5.

fox

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Sept. 30 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

4.

Did not watch

0

998.

Don’t know

0

3.

Some

0

2.

Most

0

1.

Yes, all

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Sept. 30 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

9.

Other

0

2.

cbs

0

4.

cnn

0

5.

fox

0

3.

nbc

0

999.

Refused

0

8.

C-SPAN

0

1.

abc

0

998.

Don’t know

0

7.

pbs

0

6.

msnbc

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Sept. 30 Bush-Kerry Debate, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Sept. 30 Debate (Watched Debate)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

Neither did well

0

2.

Kerry

0

3.

Both did the same

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Did Better Than Expected in Sept. 30 Debate

f2529475 Location:

Value

Label

Frequency

Text

2.

Less well

0

3.

As expected

0

998.

Don’t know

0

999.

Refused

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Did Better Than Expected in Sept. 30 Debate

f2529475 Location:

Value

Label

Frequency

Text

3.

As expected

0

998.

Don’t know

0

999.

Refused

0

1.

Better

0

2.

Less well

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Sept. 30 Bush-Kerry Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Sept. 30 Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

999.

Refused

0

4.

Neither did well

0

2.

Kerry

0

998.

Don’t know

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Oct. 8 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, all

0

999.

Refused

0

3.

Some

0

2.

Most

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Oct. 8 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

5.

fox

0

999.

Refused

0

9.

Other

0

4.

cnn

0

1.

abc

0

6.

msnbc

0

2.

cbs

0

3.

nbc

0

8.

C-SPAN

0

998.

Don’t know

0

7.

pbs

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Oct. 8 Bush-Kerry Debate, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Oct. 8 Debate (Watched Debate)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both did the same

0

4.

Neither did well

0

999.

Refused

0

1.

Bush

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Did Better Than Expected in Oct. 8 Debate

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

As expected

0

999.

Refused

0

1.

Better

0

2.

Less well

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Did Better Than Expected in Oct. 8 Debate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Better

0

2.

Less well

0

998.

Don’t know

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Oct. 8 Bush-Kerry Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Oct. 8 Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Kerry

0

998.

Don’t know

0

4.

Neither did well

0

1.

Bush

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Oct. 13 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

3.

Some

0

2.

Most

0

4.

Did not watch

0

999.

Refused

0

998.

Don’t know

0

1.

Yes, all

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Oct. 13 Bush-Kerry Debate

f2529475 Location:

Value

Label

Frequency

Text

1.

abc

0

2.

cbs

0

999.

Refused

0

9.

Other

0

5.

fox

0

8.

C-SPAN

0

7.

pbs

0

3.

nbc

0

998.

Don’t know

0

4.

cnn

0

6.

msnbc

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Oct. 13 Bush-Kerry Debate, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Oct. 13 Debate (Watched Debate)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Bush

0

2.

Kerry

0

3.

Both did the same

0

999.

Refused

0

4.

Neither did well

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Did Better Than Expected in Oct. 13 Debate

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Less well

0

999.

Refused

0

1.

Better

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Did Better Than Expected in Oct. 13 Debate

f2529475 Location:

Value

Label

Frequency

Text

1.

Better

0

2.

Less well

0

999.

Refused

0

998.

Don’t know

0

3.

As expected

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Oct. 13 Bush-Kerry Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush or Kerry Did Best in Oct. 13 Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Neither did well

0

999.

Refused

0

1.

Bush

0

998.

Don’t know

0

3.

Both did the same

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Appropriate for Kerry to Mention Cheney’s Lesbian Daughter in Debate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Appropriate

0

998.

Don’t know

0

2.

Inappropriate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Cheney-Edwards Debate

f2529475 Location:

Value

Label

Frequency

Text

2.

Most

0

4.

Did not watch

0

1.

Yes, all

0

998.

Don’t know

0

3.

Some

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Cheney-Edwards Debate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

nbc

0

6.

msnbc

0

7.

pbs

0

9.

Other

0

8.

C-SPAN

0

4.

cnn

0

5.

fox

0

2.

cbs

0

998.

Don’t know

0

1.

abc

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

TV Channel Watched for Cheney-Edwards Debate, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cheney or Edwards Did Best in Debate (Watched Debate)

f2529475 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

1.

Cheney

0

998.

Don’t know

0

2.

Edwards

0

4.

Neither did well

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cheney Did Better Than Expected in Debate

f2529475 Location:

Value

Label

Frequency

Text

3.

As expected

0

2.

Less well

0

999.

Refused

0

998.

Don’t know

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Edwards Did Better Than Expected in Debate

f2529475 Location:

Value

Label

Frequency

Text

2.

Less well

0

999.

Refused

0

998.

Don’t know

0

3.

As expected

0

1.

Better

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Cheney-Edwards Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cheney or Edwards Did Best in Debate (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

3.

Both did the same

0

998.

Don’t know

0

4.

Neither did well

0

2.

Edwards

0

1.

Cheney

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Any General Election Debates

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know When Democratic Convention Held

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Already (correct 7/30/04 and after)

0

3.

Soon

0

998.

Don’t know

0

1.

Now (correct 7/26/04–7/29/04)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Clinton’s Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

3.

One hour

0

998.

Don’t know

0

4.

Entire speech

0

5.

Did not see or hear

0

999.

Refused

0

2.

Half hour

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Edwards’ Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

4.

Did not see or hear

0

1.

Yes, few minutes

0

2.

20 minutes

0

999.

Refused

0

3.

Entire speech

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Kerry’s Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, few minutes

0

4.

Entire speech

0

999.

Refused

0

3.

One hour

0

2.

Half hour

0

998.

Don’t know

0

5.

Did not see or hear

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Coverage of Democratic Convention

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know When Republican Convention Held

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Already (correct 9/3/04 and after)

0

1.

Now (correct 8/30/04–9/2/04)

0

3.

Soon

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Zell Miller’s Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

2.

10 minutes

0

999.

Refused

0

4.

Did not see or hear

0

998.

Don’t know

0

3.

Entire speech

0

1.

Yes, few minutes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Cheney’s Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

3.

Entire speech

0

4.

Did not see or hear

0

2.

20 minutes

0

999.

Refused

0

1.

Yes, few minutes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Bush’s Convention Speech

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

One hour

0

1.

Yes, few minutes

0

998.

Don’t know

0

5.

Did not see or hear

0

2.

Half hour

0

4.

Entire speech

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Coverage of Republican Convention

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Convention That Was More Accurate in Describing Other

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Republican

0

1.

Democratic

0

3.

Both equally accurate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Campaign Ads in Past Week

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Typically Watch Political Ads

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

Do not watch TV

0

998.

Don’t know

0

2.

Turn the channel

0

1.

Watch

0

4.

Ignore

0

3.

Fast forward

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Bush Campaign Ads

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Heard or read

0

1.

Yes, seen

0

3.

Have not seen, heard, or read

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Appropriate for Bush Ads to Show 9/11 Damage

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat inappropriate

0

4.

Very inappropriate

0

2.

Somewhat appropriate

0

1.

Very appropriate

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Appropriate for Bush Ads to Show 9/11 Firefighters

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat inappropriate

0

2.

Somewhat appropriate

0

1.

Very appropriate

0

999.

Refused

0

4.

Very inappropriate

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Campaign Ads Recently

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Bush or Kerry Campaign Ads Recently

f2529475 Location:

Value

Label

Frequency

Text

3.

Both

0

999.

Refused

0

998.

Don’t know

0

4.

Other

0

2.

Kerry

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learning Anything New and True From Campaign Ads

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learning Anything New From Campaign Ads

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Campaign Ads Affected Vote

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

More likely to vote for someone else

0

3.

Makes no difference

0

1.

Bush

0

2.

Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Contacted by Democratic Campaign in Person or by Phone

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Contacted by Democratic Campaign in Person

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Contacted by Democratic Campaign by Phone

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Contacted by Democratic Campaign by Live or Recorded Phone Call

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Some callers were live; others were recorded

0

999.

Refused

0

2.

Recorded

0

1.

Live

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Number of Phone Calls From Democratic Campaign

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Contacted About Election by Group Other Than Democratic Campaign

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

4.

No

0

2.

Individual

0

1.

Yes, party

0

3.

Other group

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

3.

Other group

0

2.

Individual

0

1.

Yes, party

0

4.

No

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, party

0

999.

Refused

0

2.

Individual

0

3.

Other group

0

4.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote by Republicans or Democrats

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Democrats

0

3.

Other

0

999.

Refused

0

1.

Republicans

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote by Republicans or Democrats, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Reminded to Vote by Advocate for Candidate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot, 1 of 4

f2529475 Location:

Value

Label

Frequency

Text

3.

Individual

0

998.

Don’t know

0

999.

Refused

0

1.

Yes, party

0

4.

Other group

0

5.

No

0

2.

Government office

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot, 2 of 4

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Other group

0

5.

No

0

2.

Government office

0

1.

Yes, party

0

999.

Refused

0

3.

Individual

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot, 3 of 4

f2529475 Location:

Value

Label

Frequency

Text

2.

Government office

0

4.

Other group

0

999.

Refused

0

998.

Don’t know

0

1.

Yes, party

0

3.

Individual

0

5.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot, 4 of 4

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Government office

0

4.

Other group

0

998.

Don’t know

0

1.

Yes, party

0

3.

Individual

0

5.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot by Republicans or Democrats

f2529475 Location:

Value

Label

Frequency

Text

1.

Republicans

0

998.

Don’t know

0

999.

Refused

0

2.

Democrats

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot by Republicans or Democrats, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Offered Help to Get Early Ballot by Advocate for Candidate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

No

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Received Campaign Brochures

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Received Campaign Brochures by Mail

f2529475 Location:

Value

Label

Frequency

Text

2.

Some

0

3.

None

0

998.

Don’t know

0

999.

Refused

0

1.

All

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Received Campaign Emails

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

998.

Don’t know

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Received Republican Email Link to Video About Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Republican Video on Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Republican Video Changed Opinion of Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

Less

0

3.

Did not change

0

998.

Don’t know

0

1.

More

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Heard or Read About 2004 State of the Union

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Bush on “Meet the Press”

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, all

0

4.

Did not watch

0

998.

Don’t know

0

3.

Some

0

999.

Refused

0

2.

Most

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Bush on “Meet the Press” (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

“Meet the Press” Changed Opinion of Bush

f2529475 Location:

Value

Label

Frequency

Text

2.

Less

0

999.

Refused

0

3.

Did not change

0

998.

Don’t know

0

1.

More

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched 9/11 Commission Hearings

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, live or tape

0

2.

News coverage

0

999.

Refused

0

3.

Both live or tape and news coverage

0

4.

{3/24/04–3/25/04: Have not been watching | 3/26/04–3/29/04,

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With 9/11 Commission Hearings (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Rice’s Testimony to 9/11 Commission

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

News coverage

0

998.

Don’t know

0

3.

Both live or tape and news coverage

0

1.

Yes, live or tape

0

4.

Did not watch

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Rice’s Testimony to 9/11 Commission (Did Not Watch)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Familiar With Richard Clarke’s Book

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Believe Clarke’s Charges

f2529475 Location:

Value

Label

Frequency

Text

3.

Not too

0

1.

Very

0

999.

Refused

0

998.

Don’t know

0

4.

Not at all

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched Reagan Funeral

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, all

0

2.

Some

0

998.

Don’t know

0

3.

Not much

0

4.

Did not watch

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched “Fahrenheit 911”

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

“Fahrenheit 911” Changed Opinion of Bush

f2529475 Location:

Value

Label

Frequency

Text

3.

Same

0

2.

Somewhat worse

0

999.

Refused

0

1.

Great deal worse

0

998.

Don’t know

0

5.

Great deal better

0

4.

Somewhat better

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Watch “Fahrenheit 911”

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Watched “The Day After Tomorrow”

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Candidates Criticizing Opponents

f2529475 Location:

Value

Label

Frequency

Text

5.

Depends on the candidate

0

998.

Don’t know

0

999.

Refused

0

1.

Great deal

0

4.

Not doing this

0

3.

Not much

0

2.

Some

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Candidates Talking About What Would Do if Elected

f2529475 Location:

Value

Label

Frequency

Text

2.

Some

0

999.

Refused

0

998.

Don’t know

0

1.

Great deal

0

3.

Not much

0

5.

Depends on the candidate

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Candidates Talking About Solving Problems

f2529475 Location:

Value

Label

Frequency

Text

1.

Great deal

0

2.

Some

0

3.

Not much

0

5.

Depends on the candidate

0

998.

Don’t know

0

999.

Refused

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Criticizing Opponent

f2529475 Location:

Value

Label

Frequency

Text

4.

Not doing this

0

3.

Not much

0

2.

Some

0

999.

Refused

0

998.

Don’t know

0

1.

Great deal

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Criticizing Opponent

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Some

0

999.

Refused

0

4.

Not doing this

0

1.

Great deal

0

3.

Not much

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Talking About Solving Problems

f2529475 Location:

Value

Label

Frequency

Text

4.

Not doing this

0

3.

Not much

0

1.

Great deal

0

998.

Don’t know

0

2.

Some

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Talking About Solving Problems

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Some

0

1.

Great deal

0

999.

Refused

0

3.

Not much

0

4.

Not doing this

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Criticizing Opponent or Talking About Solving Problems

f2529475 Location:

Value

Label

Frequency

Text

2.

Talking about solving problems

0

1.

Criticizing opponent

0

3.

Doing both equally

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Kerry Criticizing Opponent or Talking About Solving Problems

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Doing both equally

0

998.

Don’t know

0

2.

Talking about solving problems

0

1.

Criticizing opponent

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Honesty of Bush Campaign

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Honesty of Kerry Campaign

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learned Enough About Democratic Candidates and Issues So Far

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

29

1.

Learned enough

228

2.

Difficult to choose

1516

998.

Don’t know

38

Variable Format: numeric

Notes: UNF:5:paJINsskYTd5w68kjwHuGg==

Learned Enough About Candidates and Issues Before Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Difficult to choose

0

999.

Refused

0

1.

Learned enough

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learned Enough About Bush So Far

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learned Enough About Kerry So Far

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learned Enough About Candidates and Issues So Far

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

1.

Learned enough

0

2.

Difficult to choose

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Learned Enough About Candidates and Issues Before General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Difficult to choose

0

998.

Don’t know

0

1.

Learned enough

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Follow Politics

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Hardly at all

181

998.

Don’t know

7

3.

Now and then

429

1.

Most times

1171

2.

Sometime

962

Variable Format: numeric

Notes: UNF:5:70SrbsMWmcJFecEzfzqMcg==

Following Democratic Campaign

f2529475 Location:

Value

Label

Frequency

Text

3.

Not too

333

999.

Refused

2

1.

Very

194

4.

Not at all

139

998.

Don’t know

3

2.

Somewhat

595

Variable Format: numeric

Notes: UNF:5:gLSQZwg3cC/bDsLUm2ZrSg==

Thought About Primary

f2529475 Location:

Value

Label

Frequency

Text

2.

Little

0

998.

Don’t know

0

999.

Refused

0

1.

A lot

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Following Campaign

f2529475 Location:

Value

Label

Frequency

Text

4.

Not at all

0

999.

Refused

0

3.

Not too

0

1.

Very

0

2.

Somewhat

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Interested in Campaign

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

0

1.

Very

0

2.

Somewhat

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Discussed Politics With Family or Friends in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

12

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:Cb1Ov8scNgA7o/LFouaJOg==

Type of Politics Discussed With Family or Friends in Past Week

f2529475 Location:

Value

Label

Frequency

Text

4.

Mix of national, state, and local

428

3.

Local

271

2.

State

194

1.

National

1140

999.

Refused

0

998.

Don’t know

8

5.

International

0

Variable Format: numeric

Notes: UNF:5:LpXoad1NFYi2bmbAXR1jSA==

Discussed Politics at Work in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

11

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:BhDHlG3WW5brUBEl6dJCYw==

Type of Politics Discussed at Work in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

3

5.

International

0

2.

State

159

4.

Mix of national, state, and local

210

1.

National

693

999.

Refused

0

3.

Local

173

Variable Format: numeric

Notes: UNF:5:mFIHvs7JWd7ado1rMBolRQ==

Discussed Politics Online in Past Week

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:yL7xZkaIfrSS3fJDmI6LAA==

Type of Politics Discussed Online in Past Week

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

National

171

3.

Local

16

5.

International

0

2.

State

15

4.

Mix of national, state, and local

21

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:ljTNqR4hHaHLYbgclv0pow==

Intend to Participate in Campaign

f2529475 Location:

Value

Label

Frequency

Text

1.

Very

0

999.

Refused

0

3.

Not very

0

998.

Don’t know

0

2.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Tried to Influence Others’ Voting

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Attended Political Meetings

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Did Other Work for Candidate

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Donated Money to Candidate

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

999.

Refused

0

998.

Don’t know

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Donating Money to Candidate, 1 of 4

f2529475 Location:

Value

Label

Frequency

Text

1.

Mail

0

3.

In person

0

4.

Other

0

999.

Refused

0

2.

Internet

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Donating Money to Candidate, 2 of 4

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Internet

0

1.

Mail

0

3.

In person

0

999.

Refused

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Donating Money to Candidate, 3 of 4

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Internet

0

1.

Mail

0

3.

In person

0

4.

Other

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Donating Money to Candidate, 4 of 4

f2529475 Location:

Value

Label

Frequency

Text

1.

Mail

0

4.

Other

0

999.

Refused

0

2.

Internet

0

998.

Don’t know

0

3.

In person

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Donating Money to Candidate, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Wore Campaign Button or Displayed Sign

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes

0

2.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Party ID

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

111

1.

Republican

869

4.

Something else

201

2.

Democrat

818

3.

Independent

728

999.

Refused

23

Variable Format: numeric

Notes: UNF:5:EAQ7FSGzCbQ8X/l+yCrZAA==

Party ID, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:cBwbKd0JK1lq6Gl1sS+uoQ==

Strength of Party ID

f2529475 Location:

Value

Label

Frequency

Text

2.

Not strong

932

999.

Refused

6

998.

Don’t know

39

1.

Strong

1438

Variable Format: numeric

Notes: UNF:5:vIyhk2Or/Q2BrfjOgcTxqw==

Lean Republican or Democrat

f2529475 Location:

Value

Label

Frequency

Text

3.

Neither Republican nor Democrat

234

1.

Republican

356

2.

Democratic

401

998.

Don’t know

61

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:sqq3ewoqmvHADiUKgpLwXw==

Lean Independent or Democrat

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

4

2.

Democrat

65

998.

Don’t know

28

1.

Independent

633

4.

Other

56

3.

Republican

83

Variable Format: numeric

Notes: UNF:5:pLl0+P0fCaC+7XHTYpf8rA==

Lean Independent or Republican

f2529475 Location:

Value

Label

Frequency

Text

3.

Democrat

38

998.

Don’t know

31

4.

Other

22

2.

Republican

91

999.

Refused

1

1.

Independent

635

Variable Format: numeric

Notes: UNF:5:bjz0wyGrLfz9TOGFsYKp3Q==

Conservative or Liberal

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

18

998.

Don’t know

52

2.

Conservative

800

3.

Moderate

1044

4.

Liberal

473

5.

Very liberal

136

1.

Very conservative

227

Variable Format: numeric

Notes: UNF:5:WmKqpYrXOUqc3z3sysF3yA==

Conservative or Liberal on Social Issues

f2529475 Location:

Value

Label

Frequency

Text

5.

Very liberal

90

999.

Refused

6

4.

Liberal

259

1.

Very conservative

182

3.

Moderate

361

998.

Don’t know

33

2.

Conservative

412

Variable Format: numeric

Notes: UNF:5:e+fpJGHO4zXeyDAqCs3jPA==

Conservative or Liberal on Economic Issues

f2529475 Location:

Value

Label

Frequency

Text

2.

Conservative

490

3.

Moderate

506

4.

Liberal

149

5.

Very liberal

41

999.

Refused

4

1.

Very conservative

129

998.

Don’t know

24

Variable Format: numeric

Notes: UNF:5:TDUZZYqPFozblDNz8yNHPQ==

Trust Government (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

2.

Most times

229

3.

Sometime

615

4.

Never (volunteered)

31

998.

Don’t know

11

999.

Refused

2

1.

Always

13

Variable Format: numeric

Notes: UNF:5:fHVvo+bGiVNMbYeZwrnf0g==

Trust Government (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Never

0

1.

Always

0

2.

Most times

0

999.

Refused

0

3.

Sometime

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Trust Business Executives

f2529475 Location:

Value

Label

Frequency

Text

1.

Great deal

37

3.

Not much

741

999.

Refused

3

4.

None

260

2.

Fair amount

370

998.

Don’t know

25

Variable Format: numeric

Notes: UNF:5:KN2zPAGWFe8Kx+YIX7YKHg==

Trust Elected Officials

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

614

2.

Fair amount

636

998.

Don’t know

13

1.

Great deal

58

4.

None

114

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:OtYKhv3qURJ3E0f1nbhQ/A==

Confidence in Executive Branch

f2529475 Location:

Value

Label

Frequency

Text

1.

Great deal

198

2.

Fair amount

713

998.

Don’t know

18

999.

Refused

4

3.

Not much

354

4.

None

99

Variable Format: numeric

Notes: UNF:5:yYbqHicYl3KKCBJgRv453A==

Confidence in Legislative Branch

f2529475 Location:

Value

Label

Frequency

Text

2.

Fair amount

739

4.

None

66

3.

Not much

460

999.

Refused

5

1.

Great deal

90

998.

Don’t know

26

Variable Format: numeric

Notes: UNF:5:Htd+DBkUFjjC/aGPSW/dsg==

Confidence in Judicial Branch

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

1.

Great deal

215

3.

Not much

333

4.

None

77

998.

Don’t know

21

2.

Fair amount

737

Variable Format: numeric

Notes: UNF:5:6KRl/9ShgWQo5wNwV1zM1w==

Confidence in State Elected Officials

f2529475 Location:

Value

Label

Frequency

Text

1.

Great deal

156

4.

None

92

999.

Refused

0

3.

Not much

358

998.

Don’t know

30

2.

Fair amount

800

Variable Format: numeric

Notes: UNF:5:7cCYx/G6yYmGk6tYLSUesQ==

Confidence in Local Government

f2529475 Location:

Value

Label

Frequency

Text

3.

Not much

298

1.

Great deal

230

2.

Fair amount

747

4.

None

111

998.

Don’t know

46

999.

Refused

4

Variable Format: numeric

Notes: UNF:5:T7ohR+33zayA3MjgBQkNIg==

Politics Too Complicated

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly disagree

334

1.

Strongly agree

347

5.

Neither agree nor disagree

3

3.

Somewhat disagree

227

2.

Somewhat agree

484

999.

Refused

1

998.

Don’t know

11

Variable Format: numeric

Notes: UNF:5:/+Q0UkE2tjgR9WZrXvvcHA==

People Like Me Have No Say in Government

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly agree

297

4.

Strongly disagree

407

999.

Refused

1

3.

Somewhat disagree

358

998.

Don’t know

10

5.

Neither agree nor disagree

5

2.

Somewhat agree

329

Variable Format: numeric

Notes: UNF:5:uY6gSalH9+fh+uMroE5T+g==

Duty to Keep Informed About Politics

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

3.

Somewhat disagree

44

1.

Strongly agree

978

2.

Somewhat agree

358

4.

Strongly disagree

15

5.

Neither agree nor disagree

3

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:Dwl7OwKbGAUerdL5hIZUZw==

Does Not Matter if Do Not Follow Politics

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

191

5.

Neither agree nor disagree

11

3.

Somewhat disagree

264

998.

Don’t know

16

1.

Strongly agree

113

999.

Refused

2

4.

Strongly disagree

810

Variable Format: numeric

Notes: UNF:5:dcCQaDqxPgeytODMkj4Spg==

Presidents Try to Keep Promises

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly agree

184

4.

Strongly disagree

202

5.

Neither agree nor disagree

14

998.

Don’t know

20

2.

Somewhat agree

670

999.

Refused

3

3.

Somewhat disagree

314

Variable Format: numeric

Notes: UNF:5:1SMbAkczzhuUUYQCLaWg1g==

Candidates Try to Keep Promises

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Rarely

0

2.

Most times

0

998.

Don’t know

0

5.

Never

0

3.

Sometime

0

1.

Always

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Presidents Make Decisions in Nation’s Interest

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly agree

303

5.

Neither agree nor disagree

16

999.

Refused

1

998.

Don’t know

19

4.

Strongly disagree

196

2.

Somewhat agree

610

3.

Somewhat disagree

262

Variable Format: numeric

Notes: UNF:5:YgFmDdya0PZpUwF93cZUyw==

Know Cheney Is Vice President

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

275

2.

Other answer

65

1.

Vice president (correct)

1064

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:57zedysCUkEM728+oBIEsA==

Know Cheney Is Vice President, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:za65Au1A0g3haKO2bNfeYA==

Don’t-Know Prompt for cMC01

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

293

0.

Respondent answered without prompting

1114

Variable Format: numeric

Notes: UNF:5:tT4Os8XUnOnTxg12eiMwig==

Know Supreme Court Determines Constitutionality of Laws

f2529475 Location:

Value

Label

Frequency

Text

3.

Supreme Court (correct)

966

999.

Refused

2

2.

Congress

285

1.

President

106

998.

Don’t know

48

Variable Format: numeric

Notes: UNF:5:Dn6LrFSaHh/JHKm7M7pM9w==

Don’t-Know Prompt for cMC03

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

62

0.

Respondent answered without prompting

1345

Variable Format: numeric

Notes: UNF:5:vVo48LFWxP/vPEFAB/MdtA==

Know Two-Thirds Majority Overrides Veto

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

3

2.

Other answer

449

1.

Two-thirds (correct)

516

998.

Don’t know

439

Variable Format: numeric

Notes: UNF:5:RBWOD2CPIFt35rFlqs0yBg==

Know Two-Thirds Majority Overrides Veto, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:edUL3K7n71RLfp6rjEC8Yg==

Don’t-Know Prompt for cMC05

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

905

1.

Respondent said don’t know and was prompted, “Anything come

502

Variable Format: numeric

Notes: UNF:5:AqY0zC25XIK7D/oMA+dy+w==

Know Republicans Are Majority Party in House

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

1.

Democratic

163

998.

Don’t know

257

2.

Republican (correct)

985

Variable Format: numeric

Notes: UNF:5:I6hiNuatrksHJpuGAzfE4g==

Don’t-Know Prompt for cMC07

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

309

0.

Respondent answered without prompting

1098

Variable Format: numeric

Notes: UNF:5:J+PmOm9qcq38G406V9sHpw==

Know Republican Party Is More Conservative

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

7

998.

Don’t know

133

1.

Democratic

315

2.

Republican (correct)

952

Variable Format: numeric

Notes: UNF:5:VaB6B1lEVYCST90XgERARw==

Don’t-Know Prompt for cMC09

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anything come

150

0.

Respondent answered without prompting

1257

Variable Format: numeric

Notes: UNF:5:otOL/Fsoh7/unWFEn/OSrg==

Chance Clark Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

12

998.

Don’t know

116

Variable Format: numeric

Notes: UNF:5:mKiiAHnMyjyTqvpbam+oSQ==

Chance Dean Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

13

998.

Don’t know

110

Variable Format: numeric

Notes: UNF:5:v1yezEJCUUJhpinNdX0/lQ==

Chance Edwards Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

10

998.

Don’t know

107

Variable Format: numeric

Notes: UNF:5:b7L/M3STKiqDp7nMDBbwWg==

Chance Gephardt Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

108

999.

Refused

12

Variable Format: numeric

Notes: UNF:5:rtWaplRYgHhtgv3soVUvMg==

Chance Kerry Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

101

999.

Refused

14

Variable Format: numeric

Notes: UNF:5:medU40do4RfOtYdU0+SNCA==

Chance Lieberman Will Win Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

10

998.

Don’t know

94

Variable Format: numeric

Notes: UNF:5:Nud9q1kdO1SVcPGxQsGgiQ==

Know Candidate Who Won Most Primaries, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

7.

Joe Lieberman

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

999.

Refused

0

5.

John Kerry (correct)

0

10.

Other

0

998.

Don’t know

0

6.

Dennis Kucinich

0

1.

Wesley Clark

0

9.

Al Sharpton

0

2.

Howard Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Won Most Primaries, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Carol Moseley Braun

0

1.

Wesley Clark

0

10.

Other

0

9.

Al Sharpton

0

2.

Howard Dean

0

5.

John Kerry (correct)

0

3.

John Edwards

0

4.

Richard Gephardt

0

998.

Don’t know

0

7.

Joe Lieberman

0

999.

Refused

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Won Most Primaries, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

5.

John Kerry (correct)

0

998.

Don’t know

0

10.

Other

0

1.

Wesley Clark

0

2.

Howard Dean

0

999.

Refused

0

7.

Joe Lieberman

0

9.

Al Sharpton

0

3.

John Edwards

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Won Most Primaries, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

10.

Other

0

6.

Dennis Kucinich

0

8.

Carol Moseley Braun

0

999.

Refused

0

5.

John Kerry (correct)

0

2.

Howard Dean

0

7.

Joe Lieberman

0

1.

Wesley Clark

0

4.

Richard Gephardt

0

3.

John Edwards

0

9.

Al Sharpton

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Candidate Who Won Most Primaries, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

10.

Other

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

9.

Al Sharpton

0

1.

Wesley Clark

0

999.

Refused

0

7.

Joe Lieberman

0

2.

Howard Dean

0

998.

Don’t know

0

8.

Carol Moseley Braun

0

5.

John Kerry (correct)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cNA07

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Anyone come to

0

0.

Respondent answered without prompting

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Chance Clark Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

17

Variable Format: numeric

Notes: UNF:5:p0sVQ2U/KiaJJrhSI6ZAcg==

Chance Bush Will Beat Clark

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

11

Variable Format: numeric

Notes: UNF:5:mXsvg/mHZRnIbvonwQSuXw==

Random Assignment to cNA09–cNA10

f2529475 Location:

Value

Label

Frequency

Text

2.

cNA10 (Bush will beat Clark)

298

1.

cNA09 (Clark will beat Bush)

320

Variable Format: numeric

Notes: UNF:5:59eYq2p2PfURy1eMrxovvg==

Chance Dean Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

18

Variable Format: numeric

Notes: UNF:5:tse2D08yW4dLH0os8lM99g==

Chance Bush Will Beat Dean

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

998.

Don’t know

9

Variable Format: numeric

Notes: UNF:5:D8j/A3jv3rSEXbiZkp5AlA==

Random Assignment to cNA12–cNA13

f2529475 Location:

Value

Label

Frequency

Text

1.

cNA12 (Dean will beat Bush)

341

2.

cNA13 (Bush will beat Dean)

324

Variable Format: numeric

Notes: UNF:5:ZDfC5r5mjdmw02pdkU7ZHQ==

Chance Edwards Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

10

Variable Format: numeric

Notes: UNF:5:P2rc2jU1dwBaEfGtVf3HUA==

Chance Bush Will Beat Edwards

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

14

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:kzSFsDgumMw5HsJ55G/M+g==

Random Assignment to cNA15–cNA16

f2529475 Location:

Value

Label

Frequency

Text

1.

cNA15 (Edwards will beat Bush)

279

2.

cNA16 (Bush will beat Edwards)

288

Variable Format: numeric

Notes: UNF:5:zLtbMzX+V4BOfuhdMf0ycA==

Chance Gephardt Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

12

Variable Format: numeric

Notes: UNF:5:PHvwoBLnFrFpw4K7gvzAjg==

Chance Bush Will Beat Gephardt

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

8

999.

Refused

3

Variable Format: numeric

Notes: UNF:5:bU6Jg89vJVdQXVsh0dYPVw==

Random Assignment to cNA18–cNA19

f2529475 Location:

Value

Label

Frequency

Text

1.

cNA18 (Gephardt will beat Bush)

381

2.

cNA19 (Bush will beat Gephardt)

368

Variable Format: numeric

Notes: UNF:5:xTPckw7V3ZrppI1IlAhZoQ==

Chance Kerry Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

15

Variable Format: numeric

Notes: UNF:5:t4NbyHDq0ba+lbUs3e4VPA==

Chance Bush Will Beat Kerry

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

17

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:iyTbpVhzu0s3hOuKrQ3tFg==

Random Assignment to cNA21–cNA22

f2529475 Location:

Value

Label

Frequency

Text

2.

cNA22 (Bush will beat Kerry)

366

1.

cNA21 (Kerry will beat Bush)

312

Variable Format: numeric

Notes: UNF:5:Flv7tYRTofn8B//gdqCFSA==

Chance Lieberman Will Beat Bush

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:nu4GBQTfBbyRoxpbLQYm6A==

Chance Bush Will Beat Lieberman

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

998.

Don’t know

10

Variable Format: numeric

Notes: UNF:5:1zSuCBd/XpuOmw46xBWe+Q==

Random Assignment to cNA24–cNA25

f2529475 Location:

Value

Label

Frequency

Text

2.

cNA25 (Bush will beat Lieberman)

410

1.

cNA24 (Lieberman will beat Bush)

379

Variable Format: numeric

Notes: UNF:5:VVb9WtLyONwVZT8O29JyeQ==

Know Gore’s Endorsement for Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Wesley Clark

0

2.

Howard Dean (correct)

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

3.

John Edwards

0

9.

Al Sharpton

0

4.

Richard Gephardt

0

998.

Don’t know

0

10.

Other

0

6.

Dennis Kucinich

0

7.

Joe Lieberman

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gore’s Endorsement of Dean Affects Vote

f2529475 Location:

Value

Label

Frequency

Text

3.

No difference

0

998.

Don’t know

0

1.

More

0

999.

Refused

0

2.

Less

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Bradley’s Endorsement for Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Richard Gephardt

0

7.

Joe Lieberman

0

998.

Don’t know

0

2.

Howard Dean (correct)

0

10.

Other

0

9.

Al Sharpton

0

3.

John Edwards

0

8.

Carol Moseley Braun

0

5.

John Kerry

0

1.

Wesley Clark

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know Madonna’s Endorsement for Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

3.

John Edwards

0

2.

Howard Dean

0

10.

Other

0

9.

Al Sharpton

0

5.

John Kerry

0

999.

Refused

0

1.

Wesley Clark (correct)

0

4.

Richard Gephardt

0

6.

Dennis Kucinich

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know if Bush or Gore Has More Support From Retired Military Leaders

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

4.

Neither

0

998.

Don’t know

0

3.

Both

0

1.

Bush (correct)

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Don’t-Know Prompt for cNB12

f2529475 Location:

Value

Label

Frequency

Text

0.

Respondent answered without prompting

0

1.

Respondent said don’t know and was prompted, “Anyone come to

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

General Election Endorsement by Newspaper Read Most

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

Yes, Bush

0

5.

Did not endorse candidate

0

4.

Someone else

0

3.

Nader

0

999.

Refused

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

General Election Endorsement Affected Vote

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

General Election Endorsement Affected Vote, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Registered to Vote

f2529475 Location:

Value

Label

Frequency

Text

1.

Registered

2234

998.

Don’t know

14

999.

Refused

3

2.

Not registered

499

Variable Format: numeric

Notes: UNF:5:J+RJoRRCYN3vVgq77TA5Cw==

First Time Registered to Vote

f2529475 Location:

Value

Label

Frequency

Text

1.

First time

0

998.

Don’t know

0

999.

Refused

0

2.

Registered before

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Democratic Presidential Primary Election Status

f2529475 Location:

Value

Label

Frequency

Text

1.

Interviewed before state’s Democratic primary

2750

2.

Interviewed after state’s Democratic primary

0

Variable Format: numeric

Notes: UNF:5:58I+1wfp6GGE81JMn+510Q==

Intend to Vote in Primary

f2529475 Location:

Value

Label

Frequency

Text

3.

Intend to vote in different primary

0

2.

No

414

1.

Yes

2235

999.

Refused

1

998.

Don’t know

100

Variable Format: numeric

Notes: UNF:5:tmeS/JoHdRLwDCzLaY5HKQ==

Chance of Voting in Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote in Republican or Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

20

2.

Democratic

966

1.

Republican

900

3.

Other

39

998.

Don’t know

310

Variable Format: numeric

Notes: UNF:5:P9qj34iHvY8s0+dHjsSveA==

Candidate Intend to Vote for in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

9.

Sharpton

26

999.

Refused

5

998.

Don’t know

185

10.

Other

7

11.

Would not vote

5

6.

Kucinich

16

3.

Edwards

31

2.

Dean

207

4.

Gephardt

100

5.

Kerry

95

1.

Clark

112

7.

Lieberman

156

8.

Moseley Braun

21

Variable Format: numeric

Notes: UNF:5:Fw2aeJNzeqBWWZOwEQ4P5A==

Chance of Voting for Different Candidate in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

1.

Definitely will vote for candidate

181

2.

Good chance will change mind

408

998.

Don’t know

35

3.

Unlikely will change mind

139

999.

Refused

1

Variable Format: numeric

Notes: UNF:5:i6dkDk//KOxu33ghucDNUw==

Why Supporting Candidate in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

1.

Record

0

998.

Don’t know

0

4.

Defeating Bush

0

5.

Other

0

3.

Personality

0

999.

Refused

0

2.

Issues

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Early Vote in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No

0

1.

Yes

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intended Method of Early Voting in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

Someone else dropping off

0

8.

Other

0

999.

Refused

0

7.

Online

0

3.

Fax

0

1.

Polling station

0

6.

Phone

0

2.

Mail

0

4.

Personally dropping off

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted in Primary

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

3.

Intend to vote in different primary

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted in Republican or Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

2.

Democratic

0

1.

Republican

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Candidate Voted for in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

7.

Lieberman

0

5.

Kerry

0

10.

Other

0

9.

Sharpton

0

11.

Did not vote for presidential nominee

0

999.

Refused

0

8.

Moseley Braun

0

3.

Edwards

0

998.

Don’t know

0

6.

Kucinich

0

2.

Dean

0

1.

Clark

0

4.

Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

When Made Up Mind About Democratic Primary Vote

f2529475 Location:

Value

Label

Frequency

Text

5.

One month

0

3.

Weekend

0

6.

More than one month before

0

998.

Don’t know

0

4.

One week

0

2.

One day before

0

999.

Refused

0

1.

Election Day

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Ever Intended to Vote for Different Candidate in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

3.

John Edwards

0

10.

Other

0

6.

Dennis Kucinich

0

2.

Howard Dean

0

8.

Carol Moseley Braun

0

7.

Joe Lieberman

0

999.

Refused

0

9.

Al Sharpton

0

11.

Did not change mind

0

998.

Don’t know

0

1.

Yes, Wesley Clark

0

5.

John Kerry

0

4.

Richard Gephardt

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Ever Intended to Vote for Different Candidate in Democratic Primary, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Supported Candidate in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Record

0

5.

Other

0

998.

Don’t know

0

4.

Defeating Bush

0

3.

Personality

0

2.

Issues

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Early Voted in Primary

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Early Voting in Primary

f2529475 Location:

Value

Label

Frequency

Text

5.

Someone else dropping off

0

998.

Don’t know

0

2.

Mail

0

6.

Phone

0

999.

Refused

0

8.

Other

0

3.

Fax

0

7.

Online

0

1.

Polling station

0

4.

Personally dropping off

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Date of Early Voting in Primary (Asked Pre-Election)

f2529475 Location:

Value

Label

Frequency

Text

2.

Yesterday

0

999.

Refused

0

1.

Today

0

5.

More than one week ago

0

4.

Four to seven days

0

998.

Don’t know

0

3.

Two to three days ago

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Date of Early Voting in Primary (Asked Post-Election)

f2529475 Location:

Value

Label

Frequency

Text

3.

Four to seven days

0

4.

One to to weeks

0

6.

More than one month before

0

998.

Don’t know

0

999.

Refused

0

5.

Three to four weeks

0

1.

Day before

0

2.

Two to three days

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Change Early Vote in Democratic Primary

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Yes

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, 1 of 5

f2529475 Location:

Value

Label

Frequency

Text

6.

It was for Democrats

0

2.

No time / too busy

0

998.

Don’t know

0

8.

Don’t like candidates / no one to vote for

0

3.

Not interested / not following the election

0

4.

Vote is a waste of time

0

1.

Not registered

0

5.

Republican / Bush running unopposed

0

7.

Primary not being held

0

999.

Refused

0

9.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, 2 of 5

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

No time / too busy

0

8.

Don’t like candidates / no one to vote for

0

3.

Not interested / not following the election

0

6.

It was for Democrats

0

5.

Republican / Bush running unopposed

0

999.

Refused

0

9.

Other

0

7.

Primary not being held

0

4.

Vote is a waste of time

0

1.

Not registered

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, 3 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Other

0

998.

Don’t know

0

999.

Refused

0

6.

It was for Democrats

0

4.

Vote is a waste of time

0

5.

Republican / Bush running unopposed

0

3.

Not interested / not following the election

0

7.

Primary not being held

0

8.

Don’t like candidates / no one to vote for

0

1.

Not registered

0

2.

No time / too busy

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, 4 of 5

f2529475 Location:

Value

Label

Frequency

Text

9.

Other

0

7.

Primary not being held

0

3.

Not interested / not following the election

0

6.

It was for Democrats

0

999.

Refused

0

1.

Not registered

0

2.

No time / too busy

0

998.

Don’t know

0

5.

Republican / Bush running unopposed

0

4.

Vote is a waste of time

0

8.

Don’t like candidates / no one to vote for

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, 5 of 5

f2529475 Location:

Value

Label

Frequency

Text

8.

Don’t like candidates / no one to vote for

0

4.

Vote is a waste of time

0

2.

No time / too busy

0

3.

Not interested / not following the election

0

5.

Republican / Bush running unopposed

0

7.

Primary not being held

0

9.

Other

0

1.

Not registered

0

999.

Refused

0

998.

Don’t know

0

6.

It was for Democrats

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in Primary, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote in General Election

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Chance of Voting in General Election

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush or Democrat

f2529475 Location:

Value

Label

Frequency

Text

5.

Depends

104

999.

Refused

13

1.

Bush

1243

3.

Other

23

998.

Don’t know

163

4.

Would not vote

46

2.

Democrat

1158

Variable Format: numeric

Notes: UNF:5:zwHeD9xSUQTD8/p/Z1+d5Q==

Intend to Vote for Bush or Clark

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

4.

Would not vote

0

3.

Other

0

2.

Clark

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush or Dean

f2529475 Location:

Value

Label

Frequency

Text

4.

Would not vote

0

999.

Refused

0

3.

Other

0

1.

Bush

0

998.

Don’t know

0

2.

Dean

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush or Edwards

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

4.

Would not vote

0

998.

Don’t know

0

999.

Refused

0

2.

Edwards

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush or Kerry

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

0

999.

Refused

0

1.

Bush

0

4.

Would not vote

0

998.

Don’t know

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 1 of 2

f2529475 Location:

Value

Label

Frequency

Text

1.

Wesley Clark (variable cRC04)

0

3.

John Edwards (cRC06)

0

4.

John Kerry (cRC07)

0

2.

Howard Dean (variable cRC05)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to cRC04–cRC07 (1/28/04–2/10/04), 2 of 2

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean (variable cRC05)

0

3.

John Edwards (cRC06)

0

1.

Wesley Clark (variable cRC04)

0

4.

John Kerry (cRC07)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 1 of 2

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

0

3.

John Edwards (cRC06)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Assignment to cRC05–cRC07 (2/11/04–2/17/04), 2 of 2

f2529475 Location:

Value

Label

Frequency

Text

2.

Howard Dean (variable cRC05)

0

4.

John Kerry (cRC07)

0

3.

John Edwards (cRC06)

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush, Kerry, or Nader (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Other

0

5.

Would not vote

0

2.

Kerry

0

3.

Nader

0

998.

Don’t know

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush, Kerry, or Nader (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

4.

Other

0

3.

Nader

0

1.

Bush

0

5.

Would not vote

0

999.

Refused

0

2.

Kerry

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush, Kerry, or Nader (Wording #3)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Other

0

1.

Bush

0

998.

Don’t know

0

5.

Would not vote

0

3.

Nader

0

2.

Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush, Kerry, or Nader (Wording #4)

f2529475 Location:

Value

Label

Frequency

Text

5.

Would not vote

0

3.

Nader

0

998.

Don’t know

0

999.

Refused

0

2.

Kerry

0

4.

Other

0

1.

Bush

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush, Kerry, or Nader (Wording #5)

f2529475 Location:

Value

Label

Frequency

Text

4.

Other

0

5.

Would not vote

0

1.

Bush

0

2.

Kerry

0

3.

Nader

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Vote for Bush or Kerry if Nader Not on Ballot

f2529475 Location:

Value

Label

Frequency

Text

2.

Kerry

0

1.

Bush

0

999.

Refused

0

3.

Write in Nader

0

4.

Other

0

5.

Would not vote

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Definitely Intend to Vote for Bush in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Good chance will change mind

0

998.

Don’t know

0

3.

Unlikely will change mind

0

1.

Definitely will vote for candidate

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Definitely Intend to Vote for Kerry in General Election

f2529475 Location:

Value

Label

Frequency

Text

1.

Definitely will vote for candidate

0

2.

Good chance will change mind

0

998.

Don’t know

0

999.

Refused

0

3.

Unlikely will change mind

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Definitely Intend to Vote for Nader in General Election

f2529475 Location:

Value

Label

Frequency

Text

3.

Unlikely will change mind

0

2.

Good chance will change mind

0

1.

Definitely will vote for candidate

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Enthusiastic About Bush-Cheney

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Very

0

3.

Somewhat

0

4.

Not at all

0

1.

Extremely

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Upset About Bush-Cheney

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat

0

2.

Very

0

4.

Not at all

0

998.

Don’t know

0

999.

Refused

0

1.

Extremely

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Enthusiastic About Kerry-Edwards

f2529475 Location:

Value

Label

Frequency

Text

1.

Extremely

0

999.

Refused

0

4.

Not at all

0

2.

Very

0

998.

Don’t know

0

3.

Somewhat

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Upset About Kerry-Edwards

f2529475 Location:

Value

Label

Frequency

Text

4.

Not at all

0

999.

Refused

0

998.

Don’t know

0

1.

Extremely

0

3.

Somewhat

0

2.

Very

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supporting Bush Because Against Kerry

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

1.

For Bush

0

2.

Against Kerry

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supporting Kerry Because Against Bush

f2529475 Location:

Value

Label

Frequency

Text

2.

Against Bush

0

999.

Refused

0

998.

Don’t know

0

1.

For Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Should Keep Cheney as Running Mate

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

2.

Choose someone new

0

1.

Keep Cheney

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intend to Early Vote in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Intended Method of Early Voting in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Fax

0

998.

Don’t know

0

1.

Polling station

0

4.

Personally dropping off

0

2.

Mail

0

5.

Someone else dropping off

0

7.

Online

0

8.

Other

0

6.

Phone

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted in General Election

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

999.

Refused

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted for Bush, Kerry, or Nader

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Bush

0

3.

Nader

0

2.

Kerry

0

5.

Did not vote for president

0

998.

Don’t know

0

4.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted for Bush or Kerry (Nader Not on Ballot)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

4.

Did not vote for president

0

998.

Don’t know

0

3.

Other

0

2.

Kerry

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted for Both Parties in General Election

f2529475 Location:

Value

Label

Frequency

Text

1.

Both

0

998.

Don’t know

0

4.

Other

0

2.

Republican

0

3.

Democratic

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

General Election Is First Time Voted

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

No

0

1.

Yes

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

When Made Up Mind About General Election Vote

f2529475 Location:

Value

Label

Frequency

Text

6.

More than one month before

0

999.

Refused

0

5.

One month

0

1.

Election Day

0

4.

One week

0

3.

Weekend

0

2.

One day before

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

When Made Up Mind About General Election Vote More Than Month Before

f2529475 Location:

Value

Label

Frequency

Text

1.

Fall

0

999.

Refused

0

2.

Summer

0

3.

Before summer

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Ever Intended to Vote for Bush in General Election

f2529475 Location:

Value

Label

Frequency

Text

5.

One year

0

2.

One month

0

998.

Don’t know

0

4.

Six months

0

1.

Yes, one week before

0

7.

No

0

999.

Refused

0

3.

Three months

0

6.

More than one year before

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Ever Intended to Vote for Kerry in General Election

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

Six months

0

5.

One year

0

2.

One month

0

3.

Three months

0

1.

Yes, one week before

0

6.

More than one year before

0

7.

No

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supported Bush Because Against Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

Against Kerry

0

999.

Refused

0

1.

For Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Supported Kerry Because Against Bush

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

2.

Against Bush

0

1.

For Kerry

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Early Voted in General Election

f2529475 Location:

Value

Label

Frequency

Text

1.

Voted early

0

999.

Refused

0

998.

Don’t know

0

2.

Did not vote early

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Early Voting in General Election

f2529475 Location:

Value

Label

Frequency

Text

7.

Online

0

3.

Fax

0

2.

Mail

0

5.

Someone else dropping off

0

6.

Phone

0

999.

Refused

0

4.

Personally dropping off

0

1.

Polling station

0

998.

Don’t know

0

8.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Date of Early Voting in General Election (Asked Pre-Election)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

5.

More than one week ago

0

2.

Yesterday

0

1.

Today

0

3.

Two to three days ago

0

4.

Four to seven days

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Date of Early Voting in General Election (Asked Post-Election)

f2529475 Location:

Value

Label

Frequency

Text

1.

Day before Election Day

0

4.

Two or more weeks before

0

999.

Refused

0

3.

One week

0

998.

Don’t know

0

2.

Few days before

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Change Early Vote in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Yes

0

2.

No

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

How Would Change Early Vote in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

Other

0

2.

Kerry

0

3.

Nader

0

1.

Bush

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Method of Voting at Polling Station in General Election

f2529475 Location:

Value

Label

Frequency

Text

5.

Other

0

2.

Holes in paper

0

3.

Lines on paper

0

998.

Don’t know

0

4.

Buttons or screen

0

1.

Levers on machine

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Cast Provisional Ballot in General Election

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

1.

Not registered

0

3.

Not interested / not following the election

0

5.

Other

0

2.

No time / too busy

0

4.

Vote is a waste of time

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Why Did Not Vote in General Election, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Have Voted for Bush, Kerry, or Nader (Did Not Vote)

f2529475 Location:

Value

Label

Frequency

Text

5.

Would not vote

0

999.

Refused

0

4.

Other

0

2.

Kerry

0

1.

Bush

0

3.

Nader

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Have Voted for Bush or Kerry (Did Not Vote and Nader Not on Ballot)

f2529475 Location:

Value

Label

Frequency

Text

1.

Bush

0

4.

Would not vote

0

2.

Kerry

0

998.

Don’t know

0

999.

Refused

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted in 2000 General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

64

1.

Yes, Bush

1127

6.

Did not vote

538

4.

Nader

76

998.

Don’t know

36

5.

Someone else

34

2.

Gore

864

3.

Buchanan

11

Variable Format: numeric

Notes: UNF:5:4QFZz9+CBB2AboLFXcVmGg==

Vote Because of Civic Duty or for Candidate or Issue (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

4.

All three equally

0

5.

Vote for other reason

0

3.

Make a difference

0

998.

Don’t know

0

1.

Civic duty

0

2.

Candidate or issue

0

6.

Do not vote

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voting Only Way to Have Say in Government

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

1

5.

Neither agree nor disagree

3

1.

Strongly agree

494

3.

Somewhat disagree

210

2.

Somewhat agree

315

4.

Strongly disagree

155

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:lR2KG4fQ7bStwwG+udeH9g==

Voting Best Way to Participate in Politics

f2529475 Location:

Value

Label

Frequency

Text

5.

Neither agree nor disagree

3

2.

Somewhat agree

317

999.

Refused

1

1.

Strongly agree

722

4.

Strongly disagree

45

3.

Somewhat disagree

90

998.

Don’t know

7

Variable Format: numeric

Notes: UNF:5:UhGqQADGbA82Tbb/OKniDA==

Important to Vote Even if Candidate Has No Chance

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat disagree

39

1.

Strongly agree

960

999.

Refused

3

5.

Neither agree nor disagree

3

2.

Somewhat agree

132

998.

Don’t know

10

4.

Strongly disagree

38

Variable Format: numeric

Notes: UNF:5:oA0eorgax/iLVi3Nngh/Ag==

Enjoy Voting

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly agree

0

999.

Refused

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

2.

Somewhat agree

0

998.

Don’t know

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Vote Because of Civic Duty or for Candidate or Issue (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

Both equally

0

1.

Civic duty

0

2.

Candidate or issue

0

5.

Do not vote

0

4.

Vote for other reason

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Feel Less American if Do Not Vote

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

1.

Strongly agree

0

2.

Somewhat agree

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Feel Guilty if Do Not Vote

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Somewhat agree

0

3.

Somewhat disagree

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

1.

Strongly agree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

People in Family Will Vote (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

2.

Most

0

3.

Some

0

999.

Refused

0

1.

All

0

998.

Don’t know

0

5.

None

0

4.

Few

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

People in Family Will Vote (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

None

0

4.

Few

0

1.

All

0

2.

Most

0

3.

Some

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

People in Family Voted

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

5.

None

0

4.

Few

0

1.

All

0

2.

Most

0

999.

Refused

0

3.

Some

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Friends Will Vote (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

5.

None

0

3.

Some

0

1.

All

0

4.

Few

0

999.

Refused

0

2.

Most

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Friends Will Vote (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Most

0

4.

Few

0

5.

None

0

1.

All

0

3.

Some

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Friends Voted

f2529475 Location:

Value

Label

Frequency

Text

2.

Most

0

1.

All

0

3.

Some

0

5.

None

0

4.

Few

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

People I Know Vote Always

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

4.

Strongly disagree

0

3.

Somewhat disagree

0

999.

Refused

0

1.

Strongly agree

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Family and Friends Disappointed if I Do Not Vote

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

3.

Somewhat disagree

0

5.

Neither agree nor disagree

0

999.

Refused

0

998.

Don’t know

0

1.

Strongly agree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Vote for Female President

f2529475 Location:

Value

Label

Frequency

Text

3.

Somewhat unlikely

0

4.

Very unlikely

0

5.

Depends

0

6.

Would not vote

0

2.

Somewhat likely

0

998.

Don’t know

0

999.

Refused

0

1.

Very likely

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Vote for Hillary Clinton or Bush

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

0

999.

Refused

0

1.

Bush

0

2.

Clinton

0

998.

Don’t know

0

4.

Would not vote

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Vote for Feinstein or Bush

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

0

2.

Feinstein

0

4.

Would not vote

0

998.

Don’t know

0

1.

Bush

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Vote for Elizabeth Dole or Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

Dole

0

999.

Refused

0

998.

Don’t know

0

4.

Would not vote

0

1.

Kerry

0

3.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Would Vote for Rice or Kerry

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

0

998.

Don’t know

0

4.

Would not vote

0

1.

Kerry

0

999.

Refused

0

2.

Rice

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Prefer Voting at Polling Station, by Mail, or Online

f2529475 Location:

Value

Label

Frequency

Text

4.

Do not vote

0

999.

Refused

0

998.

Don’t know

0

3.

Mail

0

1.

Polling place

0

2.

Internet

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Favor Online Voting

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

2.

Somewhat favor

0

999.

Refused

0

998.

Don’t know

0

3.

Somewhat oppose

0

1.

Strongly favor

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

More Likely to Vote if Online

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

3.

No effect

0

999.

Refused

0

2.

Less likely

0

1.

More likely

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Support Ending Electoral College (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

Somewhat oppose

0

4.

Strongly oppose

0

1.

Strongly support

0

2.

Somewhat support

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Support Ending Electoral College (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

4.

Strongly oppose

0

3.

Somewhat oppose

0

2.

Somewhat support

0

1.

Strongly support

0

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Response Order for Clark in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:dF9nj9gZxOMgKkNQ4dcR/w==

Random Response Order for Dean in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:VJBxID8TJitGCzLR8xPN+g==

Random Response Order for Edwards in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:n99hxIgx+FFHv4nOXNOI1Q==

Random Response Order for Gephardt in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:4CLD0TC0zDXFxVKtr0oH3g==

Random Response Order for Kerry in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:cZ6BRbszj1zzgWyysa/PNw==

Random Response Order for Kucinich in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:iTHQfu+BHDPMZwlabBu/fQ==

Random Response Order for Lieberman in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:aNE4pG9hf4bA00rC5Z3uAg==

Random Response Order for Moseley Braun in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:xkhFztCQkNg4DDa5H/hTEg==

Random Response Order for Sharpton in cRB06, cRB13

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:QbI9CfGkgQEcGj97r0flTA==

Random Response Order for Bush in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ZDHwMBtHKKgHbR/MQLEHmg==

Random Response Order for Democrat in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:gQokIrc9Ht2U9zRkCVKbWw==

Random Response Order for Nader in cRC03–cRC07, cRC10–cRC14, cRC29–cRC30

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cRC04

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cRC05

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cRC06

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Random Question Order for cRC07

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Bush Will Be Good President Even Though Voted for Kerry

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

3.

Somewhat disagree

0

999.

Refused

0

4.

Strongly disagree

0

998.

Don’t know

0

1.

Strongly agree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Election Shows Every Vote Makes a Difference

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

4.

Strongly disagree

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

999.

Refused

0

1.

Strongly agree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Election Shows Democracy Not Working

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

5.

Neither agree nor disagree

0

998.

Don’t know

0

4.

Strongly disagree

0

2.

Somewhat agree

0

1.

Strongly agree

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Permanent Harm Done by Election Process

f2529475 Location:

Value

Label

Frequency

Text

1.

Strongly agree

0

3.

Somewhat disagree

0

998.

Don’t know

0

999.

Refused

0

2.

Somewhat agree

0

5.

Neither agree nor disagree

0

4.

Strongly disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Confident Vote Counted Accurately

f2529475 Location:

Value

Label

Frequency

Text

4.

Very doubtful

0

3.

Somewhat doubtful

0

999.

Refused

0

998.

Don’t know

0

1.

Very confident

0

2.

Somewhat confident

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Confident Vote Will Be Counted Accurately

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

1.

Very confident

0

4.

Very doubtful

0

2.

Somewhat confident

0

3.

Somewhat doubtful

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Casting Ballot Was Confusing

f2529475 Location:

Value

Label

Frequency

Text

1.

Not at all

0

998.

Don’t know

0

3.

Very

0

2.

Somewhat

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Certain Vote Cast Accurately

f2529475 Location:

Value

Label

Frequency

Text

1.

Absolutely certain

0

998.

Don’t know

0

999.

Refused

0

3.

Somewhat uncertain

0

2.

Somewhat certain

0

4.

Not certain at all

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Gore Cheated Out of Presidency

f2529475 Location:

Value

Label

Frequency

Text

2.

Somewhat agree

0

1.

Strongly agree

0

4.

Strongly disagree

0

999.

Refused

0

998.

Don’t know

0

3.

Somewhat disagree

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Congressional District

f2529475 Location:

Value

Label

Frequency

Text

9999.

Unavailable

0

Variable Format: numeric

Notes: UNF:5:PX8Y4MFrbOK0i2MrWVGh/w==

Know Names of Incumbent Senators

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

585

1.

Gave name or names

756

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:KvEaOJtLdBC59bWnpJL/Dw==

Know Names of Incumbent Senators, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:Fed/RCHCJTBjkdAH3BPy6w==

Don’t-Know Prompt for cUA02

f2529475 Location:

Value

Label

Frequency

Text

1.

Respondent said don’t know and was prompted, “Just your best

585

0.

Respondent answered without prompting

756

Variable Format: numeric

Notes: UNF:5:+qffchugIaQK9Uv0/xDQJQ==

Favorability of Senator Running for Re-Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

12.

Know name but cannot rate

72

11.

Do not recognize name

88

Variable Format: numeric

Notes: UNF:5:CjvCEYaTcyu/3Cry5vrXAQ==

House Candidate Voted for in General Election

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

2.

Democrat

0

3.

Other/did not vote for Congress

0

998.

Don’t know

0

1.

Republican

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Senate Candidate Voted for in General Election

f2529475 Location:

Value

Label

Frequency

Text

56.

SC: Jim DeMint

0

58.

SD: John Thune

0

2.

AL: Wayne Sowell

0

17.

IA: Charles Grassley

0

61.

UT: Paul Van Dam

0

44.

NV: Richard Ziser

0

62.

VT: Jack McMullen

0

55.

PA: Joseph Hoeffel

0

43.

NH: Doris Haddock

0

60.

UT: Robert Bennett

0

66.

WI: Tim Michels

0

54.

PA: Arlen Specter

0

45.

NV: Harry Reid

0

48.

OH: George Voinovich

0

69.

Generic Democrat

0

36.

MO: Kit Bond

0

18.

IA: Arthur Small

0

41.

ND: Byron Dorgan

0

26.

KS: Lee Jones

0

9.

CO: Peter Coors

0

49.

OH: Eric Fingerhut

0

22.

IL: Barack Obama

0

35.

MD: Barbara Mikulski

0

59.

SD: Thomas Daschle

0

67.

WI: Russ Feingold

0

25.

KS: Sam Brownback

0

57.

SC: Inez Tenenbaum

0

71.

Did not vote for senator

0

65.

WA: Patty Murray

0

27.

KY: Jim Bunning

0

32.

LA: Sam Melton

0

37.

MO: Nancy Farmer

0

52.

OR: Al King

0

13.

FL: Mel Martinez

0

64.

WA: George Nethercutt

0

33.

LA: Arthur Morrell

0

5.

AZ: John McCain

0

70.

Other

0

10.

CO: Ken Salazar

0

12.

CT: Christopher Dodd

0

998.

Don’t know

0

6.

AZ: Stuart Starky

0

4.

AR: Blanche Lincoln

0

8.

CA: Barbara Boxer

0

63.

VT: Patrick Leahy

0

3.

AR: Jim Holt

0

39.

NC: Erskine Bowles

0

11.

CT: Jack Orchulli

0

15.

GA: Johnny Isakson

0

20.

ID: Scott McClure

0

68.

Generic Republican

0

40.

ND: Mike Liffrig

0

29.

LA: David Vitter

0

999.

Refused

0

23.

IN: Marvin Scott

0

50.

OK: Tom Coburn

0

16.

GA: Denise Majette

0

28.

KY: Daniel Mongiardo

0

31.

LA: John Kennedy

0

51.

OK: Brad Carson

0

19.

ID: Mike Crapo

0

53.

OR: Ron Wyden

0

1.

AL: Richard Shelby

0

24.

IN: Evan Bayh

0

34.

MD: E.J. Pipkin

0

42.

NH: Judd Gregg

0

14.

FL: Betty Castor

0

46.

NY: Howard Mills

0

30.

LA: Chris John

0

38.

NC: Richard Burr

0

7.

CA: Bill Jones

0

47.

NY: Charles Schumer

0

21.

IL: Alan Keyes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Voted in 2002 Election (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

42

999.

Refused

3

1.

Yes

1812

2.

No

893

Variable Format: numeric

Notes: UNF:5:8YdFUJZ2fAduXau0ex3oUA==

Voted in 2002 Election (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Thought about voting but did not

0

998.

Don’t know

0

3.

Usually vote but did not

0

4.

Voted

0

999.

Refused

0

1.

Did not vote

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

House Candidate Voted for in 2002

f2529475 Location:

Value

Label

Frequency

Text

3.

Other

7

2.

Democrat

251

999.

Refused

8

998.

Don’t know

30

4.

Did not vote for Congress

12

1.

Republican

265

Variable Format: numeric

Notes: UNF:5:CfpWnuloLrWaMgM3tHYjvg==

Sex

f2529475 Location:

Value

Label

Frequency

Text

1.

Male

1269

2.

Female

1481

Variable Format: numeric

Notes: UNF:5:McVWSiRmAOstwajz3E5eHQ==

Age

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

22

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:KAK5DjJzg7IrlXBmSNPdIw==

Education

f2529475 Location:

Value

Label

Frequency

Text

8.

Graduate or professional school, no degree

113

5.

Some college, no degree

516

6.

Associate’s or two-year college degree

215

9.

Graduate or professional degree

387

3.

High school diploma or equivalent

694

999.

Refused

17

2.

Some high school, no diploma

158

4.

Technical or vocational school after high school

65

7.

Four-year college degree

526

1.

Grade 8 or lower

57

998.

Don’t know

2

Variable Format: numeric

Notes: UNF:5:JykF/kd7llR5k7sWP1PUaw==

Household Income

f2529475 Location:

Value

Label

Frequency

Text

2.

$10,000–$15,000

127

999.

Refused

162

8.

$100,000–$150,000

236

7.

$75,000–$100,000

314

4.

$25,000–$35,000

330

9.

More than $150,000

138

6.

$50,000–$75,000

515

5.

$35,000–$50,000

438

1.

Less than $10,000

139

3.

$15,000–$25,000

265

998.

Don’t know

86

Variable Format: numeric

Notes: UNF:5:hjLU1DUkvQIgL0l1Z59SRA==

Employment Status

f2529475 Location:

Value

Label

Frequency

Text

8.

Other

22

998.

Don’t know

3

1.

Working full time

1490

999.

Refused

8

4.

Retired

510

2.

Part time

380

6.

Homemaker

133

7.

Student

43

3.

Temporarily laid off or unemployed

70

5.

Permanently disabled

91

Variable Format: numeric

Notes: UNF:5:Q0kJS3w5Px0+NDThIWz//A==

Line of Work (Employed)

f2529475 Location:

Value

Label

Frequency

Text

4.

Service worker (e.g., police officer, fire fighter, waiter o

184

6.

Manager (e.g., store manager, sales manager, office manager)

123

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

144

998.

Don’t know

4

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

206

3.

Clerical or office worker (e.g., typist, secretary, postal c

212

9.

Business owner

57

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

618

8.

Salesperson

114

7.

Semi-skilled worker (e.g., machine operator, assembly line w

85

10.

Other

118

999.

Refused

5

Variable Format: numeric

Notes: UNF:5:1nHeH9sJnTkxUtXTY2QAeA==

Line of Work (Employed), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:XKvtintZ8eZH1jC0eEvSXA==

Line of Work (Not Currently Employed)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

7.

Semi-skilled worker (e.g., machine operator, assembly line w

0

9.

Business owner

0

2.

Skilled tradesperson (e.g., printer, baker, tailor, electric

0

3.

Clerical or office worker (e.g., typist, secretary, postal c

0

6.

Manager (e.g., store manager, sales manager, office manager)

0

10.

Other

0

4.

Service worker (e.g., police officer, fire fighter, waiter o

0

8.

Salesperson

0

998.

Don’t know

0

1.

Profession worker (e.g., lawyer, doctor, scientist, teacher,

0

5.

Laborer (e.g., plumber’s helper, construction worker, longsh

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Line of Work (Not Currently Employed), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Self-Employed

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

2

2.

Self-employed

324

1.

Not self-employed

1544

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:W7IIOKzY0MHLMQqgcrbGrA==

Employed by Government

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

14

2.

Not government employee

1168

999.

Refused

0

1.

Government or military employee

364

Variable Format: numeric

Notes: UNF:5:+e5HqAp6LTPg6dJnhlVNdw==

Anyone in Household Belongs to Labor Union

f2529475 Location:

Value

Label

Frequency

Text

4.

No one is union member

2313

998.

Don’t know

12

999.

Refused

13

1.

Yes, respondent

200

2.

Other household member

174

3.

Both respondent and other household member

38

Variable Format: numeric

Notes: UNF:5:AnY5tChiatcPGJiyEZ7YHw==

Any Other Adults in Household Unemployed

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

219

2.

No

2449

998.

Don’t know

2

999.

Refused

10

Variable Format: numeric

Notes: UNF:5:hnAq5h9FWm4psxLz2J2LuQ==

Know of Anyone Who Lost Job in Past Six Months (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

3.

Respondent and other person

15

998.

Don’t know

2

999.

Refused

1

1.

Yes, respondent

38

4.

No one lost job

409

2.

Other person

309

Variable Format: numeric

Notes: UNF:5:jviAiTeGjs8AijqoAWPYkg==

Know of Anyone Who Lost Job in Past Six Months (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

2.

Other person

0

4.

No one lost job

0

998.

Don’t know

0

3.

Respondent and other person

0

999.

Refused

0

1.

Yes, respondent

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know of Anyone Who Regained Job in Past Six Months

f2529475 Location:

Value

Label

Frequency

Text

2.

No

198

998.

Don’t know

14

999.

Refused

0

1.

Yes

150

Variable Format: numeric

Notes: UNF:5:31tzuElRo3mrD5N3+mJcDg==

Employed by Business That Exports

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

2.

No

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Employed by Business That Imports

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Employed by Business That Supplies Imports or Exports

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Employed by Business That Outsources

f2529475 Location:

Value

Label

Frequency

Text

2.

No

0

998.

Don’t know

0

999.

Refused

0

1.

Yes

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Hispanic

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

211

998.

Don’t know

4

2.

No

2524

999.

Refused

11

Variable Format: numeric

Notes: UNF:5:wtPs3AMiaSIgnBAzUXbkAQ==

Line of Hispanic Origin

f2529475 Location:

Value

Label

Frequency

Text

3.

Puerto Rican

22

999.

Refused

0

4.

Something else

50

2.

Cuban

14

998.

Don’t know

1

1.

Mexican

124

Variable Format: numeric

Notes: UNF:5:6xmapHndo6hI8vLWpeJjgQ==

Line of Hispanic Origin, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:TfTQq78vfIuuHUUOQ6EqQA==

Race

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

9

3.

Asian

30

4.

American Indian

35

5.

Other

116

1.

White

2343

999.

Refused

35

2.

Black

182

Variable Format: numeric

Notes: UNF:5:I3MgMJc8cXofwvV/Z1boNw==

Race, Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:KOEMaIhlCZTUeiT2kodKcQ==

Born in U.S.

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

13

1.

Yes

2534

2.

No

203

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:EGrISrfdQHIxw1fmOP9EyQ==

U.S. Citizen

f2529475 Location:

Value

Label

Frequency

Text

2.

No

61

998.

Don’t know

0

999.

Refused

0

1.

Yes

142

Variable Format: numeric

Notes: UNF:5:7FPRFsl9MkH9BBM0dfIRAg==

Years Lived in U.S.

f2529475 Location:

Value

Label

Frequency

Text

1.

Six months to one year

4

0.

Less than six months

6

999.

Refused

0

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:NAZMazCwnHqptv8KWT46vg==

Years at Present Address

f2529475 Location:

Value

Label

Frequency

Text

0.

Less than six months

237

1.

Six months to one year

266

998.

Don’t know

2

999.

Refused

12

Variable Format: numeric

Notes: UNF:5:+0ZJWkNWrwroKz5/zNm+aw==

Attend Religious Services

f2529475 Location:

Value

Label

Frequency

Text

1.

More than once a week

364

4.

Few times a year

747

5.

Never

535

999.

Refused

23

998.

Don’t know

9

3.

Once or twice a month

344

2.

Once a week

728

Variable Format: numeric

Notes: UNF:5:8ASBctd4hDlvv8wWW9MgXw==

Religion (Attend Religious Services)

f2529475 Location:

Value

Label

Frequency

Text

4.

Mormon

44

7.

Other

111

999.

Refused

19

5.

Orthodox (including Greek, Russian, and Eastern)

7

6.

Muslim

9

1.

Protestant (including Baptist, Christian, Episcopal, Jehovah

1290

3.

Jewish

45

998.

Don’t know

21

2.

Catholic

637

Variable Format: numeric

Notes: UNF:5:8VXYQHzu7/YHo5krJ6orFw==

Religion (Attend Religious Services), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:ZkMyNmsNEM67QS8DWK4R8g==

Religion (Do Not Attend Religious Services)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

10

6.

Muslim

1

7.

Other

24

1.

Yes, Protestant (including Baptist, Christian, Episcopal, Je

145

9.

Atheist or agnostic

62

5.

Orthodox (including Greek, Russian, and Eastern)

3

998.

Don’t know

3

3.

Jewish

16

2.

Catholic

75

8.

No denomination

225

4.

Mormon

3

Variable Format: numeric

Notes: UNF:5:24k7o7uhXsEXvmztfvxWuA==

Religion (Do Not Attend Religious Services), Verbatim

f2529475 Location:

Variable Format: character

Notes: UNF:5:o4/7RqAk9Je7kHOn8LuKjA==

Born-Again Christian

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

60

999.

Refused

18

2.

No

1339

1.

Yes

975

Variable Format: numeric

Notes: UNF:5:5dsk0x6B6Iygr142o9dAhg==

Anyone in Household Ever Served in Military

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

422

2.

Other household member

393

4.

No one served in military

1884

998.

Don’t know

3

999.

Refused

15

3.

Both respondent and other household member

33

Variable Format: numeric

Notes: UNF:5:gBP8j3LOSlMmG53b7vrfuw==

Branch of Military Respondent Ever Served In, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

National Guard

0

1.

Regular

0

2.

Reserves

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Respondent Ever Served In, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

3.

National Guard

0

998.

Don’t know

0

2.

Reserves

0

1.

Regular

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Respondent Ever Served In, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

1.

Regular

0

3.

National Guard

0

998.

Don’t know

0

999.

Refused

0

2.

Reserves

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Ever Served In, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

3.

National Guard

0

2.

Reserves

0

1.

Regular

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Ever Served In, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

3.

National Guard

0

1.

Regular

0

2.

Reserves

0

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Ever Served In, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

1.

Regular

0

998.

Don’t know

0

3.

National Guard

0

999.

Refused

0

2.

Reserves

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Anyone in Household Currently in Military

f2529475 Location:

Value

Label

Frequency

Text

2.

Other household member

0

999.

Refused

0

3.

Both respondent and other household member

0

1.

Yes, respondent

0

998.

Don’t know

0

4.

No one still serving

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Respondent Currently Serving In, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

2.

Reserves

0

998.

Don’t know

0

1.

Regular

0

999.

Refused

0

3.

National Guard

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Respondent Currently Serving In, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Reserves

0

999.

Refused

0

1.

Regular

0

3.

National Guard

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Respondent Currently Serving In, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

2.

Reserves

0

998.

Don’t know

0

3.

National Guard

0

1.

Regular

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Currently Serving In, 1 of 3

f2529475 Location:

Value

Label

Frequency

Text

3.

National Guard

0

2.

Reserves

0

998.

Don’t know

0

999.

Refused

0

1.

Regular

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Currently Serving In, 2 of 3

f2529475 Location:

Value

Label

Frequency

Text

1.

Regular

0

998.

Don’t know

0

999.

Refused

0

3.

National Guard

0

2.

Reserves

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Branch of Military Other Household Member Currently Serving In, 3 of 3

f2529475 Location:

Value

Label

Frequency

Text

1.

Regular

0

3.

National Guard

0

999.

Refused

0

998.

Don’t know

0

2.

Reserves

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Anyone in Household Served in Military Overseas in Past Four Years

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes, respondent

0

999.

Refused

0

3.

Both respondent and other household member

0

2.

Other household member

0

998.

Don’t know

0

4.

No one served overseas in past four years

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529475 Location:

Value

Label

Frequency

Text

2.

Bosnia

0

1.

Afghanistan

0

4.

Kosovo

0

5.

Other

0

999.

Refused

0

998.

Don’t know

0

3.

Iraq

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529475 Location:

Value

Label

Frequency

Text

5.

Other

0

999.

Refused

0

4.

Kosovo

0

1.

Afghanistan

0

2.

Bosnia

0

998.

Don’t know

0

3.

Iraq

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529475 Location:

Value

Label

Frequency

Text

4.

Kosovo

0

999.

Refused

0

2.

Bosnia

0

3.

Iraq

0

1.

Afghanistan

0

998.

Don’t know

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529475 Location:

Value

Label

Frequency

Text

3.

Iraq

0

2.

Bosnia

0

998.

Don’t know

0

999.

Refused

0

1.

Afghanistan

0

4.

Kosovo

0

5.

Other

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Location of Overseas Military Service by Anyone in Household in Past Four Years,

f2529475 Location:

Value

Label

Frequency

Text

1.

Afghanistan

0

2.

Bosnia

0

999.

Refused

0

3.

Iraq

0

5.

Other

0

4.

Kosovo

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Total Adults in Household

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:7D8LSwYaN6+e4WpZPiZ7Kg==

Adults Age 18–22 in Household

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Total Children in Household

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

17

Variable Format: numeric

Notes: UNF:5:4X8yFuzNOc2SFd8sFJ7rsA==

Children Age 14–17 in Household

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

0

998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Children Age 6–13 in Household

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Children Under Age 5 in Household

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

999.

Refused

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Marital Status

f2529475 Location:

Value

Label

Frequency

Text

1.

Married

1551

998.

Don’t know

0

3.

Widowed

214

4.

Divorced

355

999.

Refused

12

6.

Never married

485

5.

Separated

55

2.

Living as married

78

Variable Format: numeric

Notes: UNF:5:uV+dn40F7fLdVgthFoyFcg==

Census Division

f2529475 Location:

Value

Label

Frequency

Text

7.

West South Central (AR, LA, OK, TX)

275

8.

Mountain (AZ, CO, ID, MT, NM, NV, UT, WY)

193

4.

West North Central (IA, KS, MN, MO, ND, NE, SD)

236

9.

Pacific (CA, OR, WA)

400

3.

East North Central (IL, IN, MI, OH, WI)

446

1.

New England (CT, MA, ME, NH, RI, VT)

140

5.

South Atlantic (DC, DE, FL, GA, MD, NC, SC, VA, WV)

449

6.

East South Central (AL, KY, MS, TN)

196

2.

Middle Atlantic (NJ, NY, PA)

415

Variable Format: numeric

Notes: UNF:5:v7FRyX2Nx9ZlT5xwsk8rgA==

Metropolitan Statistical Area

f2529475 Location:

Value

Label

Frequency

Text

40660.

Rome (GA)

0

36540.

Omaha–Council Bluffs (IA, NE)

7

44940.

Sumter (SC)

1

41140.

St. Joseph (KS, MO)

1

29940.

Lawrence (KS)

2

30980.

Longview (TX)

0

11180.

Ames (IA)

0

32780.

Medford (OR)

1

17860.

Columbia (MO)

1

12020.

Athens–Clarke County (GA)

1

23540.

Gainesville (FL)

0

48660.

Wichita Falls (TX)

0

34060.

Morgantown (WV)

0

22660.

Fort Collins–Loveland (CO)

5

33260.

Midland (TX)

1

25500.

Harrisonburg (VA)

1

42260.

Sarasota–Bradenton–Venice (FL)

10

22420.

Flint (MI)

1

20220.

Dubuque (IA)

1

40420.

Rockford (IL)

4

45300.

Tampa–St. Petersburg–Clearwater (FL)

20

39340.

Provo–Orem (UT)

2

36420.

Oklahoma City (OK)

9

16980.

Chicago–Naperville–Joilet (IL, IN, WI)

69

19820.

Detroit–Warren–Livonia (MI)

30

11540.

Appleton (WI)

2

13820.

Birmingham–Hoover (AL)

11

18140.

Columbus (OH)

27

19740.

Denver–Aurora (CO)

23

25420.

Harrisburg–Carlisle (PA)

6

24140.

Goldsboro (NC)

0

11020.

Altoona (PA)

0

29540.

Lancaster (PA)

8

37860.

Pensacola–Ferry Pass–Brent (FL)

2

36780.

Oshkosh–Neenah (WI)

2

12580.

Baltimore–Towson (MD)

12

19100.

Dallas–Fort Worth–Arlington (TX)

43

24580.

Green Bay (WI)

5

12420.

Austin–Round Rock (TX)

11

44140.

Springfield (MA)

0

22020.

Fargo (MN, ND)

0

28420.

Kennewick–Richland–Pasco (WA)

7

19140.

Dalton (GA)

0

24020.

Glens Falls (NY)

0

38340.

Pittsfield (MA)

0

32900.

Merced (CA)

0

39380.

Pueblo (CO)

1

43580.

Sioux City (IA, NE, SD)

1

13140.

Beaumont–Port Arthur (TX)

8

26420.

Houston–Baytown–Sugar Land (TX)

44

23580.

Gainesville (GA)

0

34900.

Napa (CA)

3

32580.

McAllen–Edinburg–Pharr (TX)

3

30860.

Logan (ID, UT)

1

15540.

Burlington–South Burlington (VT)

4

31140.

Louisville (IN, KY)

13

47940.

Waterloo–Cedar Falls (IA)

5

46220.

Tuscaloosa (AL)

5

20260.

Duluth (MN, WI)

4

25860.

Hickory–Morganton–Lenoir (NC)

5

18700.

Corvallis (OR)

0

16220.

Casper (WY)

2

25620.

Hattiesburg (MS)

0

42540.

Scranton–Wilkes-Barre (PA)

12

27740.

Johnson City (TN)

5

22520.

Florence–Muscle Shoals (AL)

0

21660.

Eugene–Springfield (OR)

4

16180.

Carson City (NV)

0

31180.

Lubbock (TX)

2

46700.

Vallejo–Fairfield (CA)

5

15940.

Canton–Massillon (OH)

3

22140.

Farmington (NM)

0

31900.

Mansfield (OH)

2

40980.

Saginaw–Saginaw Township North (MI)

1

22500.

Florence (SC)

3

29620.

Lansing–East Lansing (MI)

4

35380.

New Orleans–Metairie–Kenner (LA)

8

39900.

Reno–Sparks (NV)

4

30620.

Lima (OH)

1

30780.

Little Rock–North Little Rock (AR)

11

12220.

Auburn–Opelika (AL)

2

14740.

Bremerton–Silverdale (WA)

0

22460.

Florence (AL)

0

41060.

St. Cloud (MN)

4

48900.

Wilmington (NC)

4

15380.

Buffalo–Cheektowaga–Tonawanda (NY)

9

42660.

Seattle–Tacoma–Bellevue (WA)

27

47220.

Vineland–Milville–Bridgeton (NJ)

1

22540.

Fond Du Lac (WI)

1

40340.

Rochester (MN)

0

14980.

Bristol (VA)

1

33460.

Minneapolis–St. Paul–Bloomington (MN, WI)

29

37340.

Palm Bay–Melbourne–Titusville (FL)

2

31460.

Madera (CA)

1

47260.

Virginia Beach–Norfolk–Newport News (NC, VA)

10

41740.

San Diego–Carlsbad–San Marcos (CA)

16

14020.

Bloomington (IN)

3

38300.

Pittsburgh (PA)

29

29820.

Las Vegas–Paradise (NV)

14

33700.

Modesto (CA)

4

26380.

Houma–Bayou Cane–Thibodaux (LA)

2

10500.

Albany (GA)

0

37460.

Panama City–Lynn Haven (FL)

3

37700.

Pascagoula (MS)

2

16700.

Charleston–North Charleston (SC)

6

48300.

Wenatchee (WA)

2

27340.

Jacksonville (NC)

0

34620.

Muncie (IN)

2

31700.

Manchester–Nashua (NH)

5

14540.

Bowling Green (KY)

1

17780.

College Station–Bryan (TX)

0

38220.

Pine Bluff (AR)

1

40580.

Rocky Mount (NC)

2

41420.

Salem (OR)

1

47900.

Washington–Arlington–Alexandria (DC, MD, VA, WV)

37

16620.

Charleston (WV)

6

42340.

Savannah (GA)

0

12260.

Augusta–Richmond County (GA, SC)

2

44180.

Springfield (MO)

0

24780.

Greenville (NC)

1

23420.

Fresno (CA)

3

36100.

Ocala (FL)

3

28020.

Kalamazoo–Portage (MI)

8

24300.

Grand Junction (CO)

1

29740.

Las Cruces (NM)

3

49660.

Youngstown–Warren–Boardman (OH, PA)

8

37100.

Oxnard–Thousand Oaks–Ventura (CA)

3

45220.

Tallahassee (FL)

5

21140.

Elkhart–Goshen (IN)

0

46940.

Vero Beach (FL)

1

19460.

Decatur (AL)

3

15980.

Cape Coral–Fort Myers (FL)

1

17980.

Columbus (AL, GA)

3

25060.

Gulfport–Biloxi (MS)

1

99999.

None or unavailable

600

31420.

Macon (GA)

0

17820.

Colorado Springs (CO)

3

30700.

Lincoln (NE)

3

12980.

Battle Creek (MI)

3

14060.

Bloomington–Normal (IL)

2

29180.

Lafayette (LA)

4

41180.

St. Louis (IL, MO)

34

18580.

Corpus Christi (TX)

2

45500.

Texarkana (AR, TX)

1

30140.

Lebanon (PA)

0

33340.

Milwaukee–Waukesha–West Allis (WI)

20

41540.

Salisbury (MD)

2

41780.

Sandusky (OH)

0

10740.

Albuquerque (NM)

8

26580.

Huntington–Ashland (KY, OH, WV)

4

42220.

Santa Rosa–Petaluma (CA)

11

17460.

Cleveland–Elyria–Mentor (OH)

20

16940.

Cheyenne (WY)

0

12700.

Barnstable Town (MA)

1

45060.

Syracuse (NY)

12

36220.

Odessa (TX)

2

33860.

Montgomery (AL)

0

17140.

Cincinnati–Middletown (IN, KY, OH)

23

27180.

Jackson (TN)

2

47380.

Waco (TX)

3

44700.

Stockton (CA)

5

39580.

Raleigh–Cary (NC)

13

42100.

Santa Cruz–Watsonville (CA)

0

42020.

San Luis Obispo–Paso Robles (CA)

5

27060.

Ithaca (NY)

0

28940.

Knoxville (TN)

10

28700.

Kingsport–Bristol (TN, VA)

4

15500.

Burlington (NC)

2

13900.

Bismarck (ND)

1

12540.

Bakersfield (CA)

13

24500.

Great Falls (MT)

0

10780.

Alexandria (LA)

2

27860.

Jonesboro (AR)

0

11300.

Anderson (IN)

0

31020.

Longview–Kelso (WA)

0

36500.

Olympia (WA)

4

37620.

Parkersburg–Marietta (OH, WV)

2

12100.

Atlantic City (NJ)

3

29700.

Laredo (TX)

3

31340.

Lynchburg (VA)

0

43620.

Sioux Falls (SD)

6

19180.

Danville (IL)

2

29100.

La Crosse (MN, WI)

2

32820.

Memphis (AR, MS, TN)

10

12620.

Bangor (ME)

2

13980.

Blacksburg–Christiansburg–Radford (VA)

2

10420.

Akron (OH)

2

38060.

Phoenix–Mesa–Scottsdale (AZ)

36

12060.

Atlanta–Sandy Springs–Marietta (GA)

30

33140.

Michigan City–La Porte (IN)

2

46060.

Tucson (AZ)

8

26900.

Indianapolis (IN)

23

22380.

Flagstaff (AZ)

2

43100.

Sheboygan (WI)

0

45460.

Terre Haute (IN)

0

44100.

Springfield (IL)

1

49420.

Yakima (WA)

4

17020.

Chico (CA)

2

42060.

Santa Barbara–Santa Maria–Goleta (CA)

6

33740.

Monroe (LA)

0

41100.

St. George (UT)

0

48700.

Williamsport (PA)

3

24860.

Greenville (SC)

7

40900.

Sacramento–Arden-Arcade–Roseville (CA)

21

27260.

Jacksonville (FL)

7

26820.

Idaho Falls (ID)

2

21340.

El Paso (TX)

6

33100.

Miami–Fort Lauderdale–Miami Beach (FL)

45

22220.

Fayetteville (AR, MO)

0

40220.

Roanoke (VA)

4

16580.

Champaign–Urbana (IL)

3

46340.

Tyler (TX)

1

16820.

Charlottesville (VA)

3

43780.

South Bend–Mishawaka (IN, MI)

1

27100.

Jackson (MI)

0

13780.

Binghamton (NY)

3

47020.

Victoria (TX)

1

39460.

Punta Gorda (FL)

0

11700.

Asheville (NC)

3

49020.

Winchester (VA, WV)

1

14260.

Boise City–Nampa (ID)

1

20020.

Dothan (AL)

1

29140.

Lafayette (IN)

3

44060.

Spokane (WA)

6

49180.

Winston–Salem (NC)

5

22180.

Fayetteville (NC)

2

19380.

Dayton (OH)

9

33540.

Missoula (MT)

1

11500.

Anniston–Oxford (AL)

0

45820.

Topeka (KS)

5

46140.

Tulsa (OK)

8

22900.

Fort Smith (AR, OK)

3

14460.

Boston–Cambridge–Quincy (MA, NH)

45

10580.

Albany–Schenectady–Troy (NY)

18

26100.

Holland–Grand Haven (MI)

1

36980.

Owensboro (KY)

2

30460.

Lexington–Fayette (KY)

4

23460.

Gadsden (AL)

2

30300.

Lewiston (ID, WA)

2

15260.

Brunswick (GA)

1

27780.

Johnstown (PA)

0

34740.

Muskegon–Norton Shores (MI)

4

19260.

Danville (VA)

0

49740.

Yuma (AZ)

0

20740.

Eau Claire (WI)

4

38860.

Portland–South Portland (ME)

2

27620.

Jefferson City (MO)

3

25260.

Hanford–Corcoran (CA)

2

11460.

Ann Arbor (MI)

2

28740.

Kingston (NY)

4

20940.

El Centro (CA)

2

39140.

Prescott (AZ)

1

17900.

Columbia (SC)

13

27500.

Janesville (WI)

2

49340.

Worcester (MA)

10

48140.

Wausau (WI)

1

41660.

San Angelo (TX)

3

41940.

San Jose–Sunnyvale–Santa Clara (CA)

19

29340.

Lake Charles (LA)

3

27900.

Joplin (MO)

1

38900.

Portland–Vancouver–Beaverton (OR, WA)

21

30020.

Lawton (OK)

1

45780.

Toledo (OH)

6

34580.

Mount Vernon–Anacortes (WA)

1

21300.

Elmira (NY)

0

21500.

Erie (PA)

1

44300.

State College (PA)

3

43340.

Shreveport–Bossier City (LA)

1

40380.

Rochester (NY)

17

25980.

Hinesville–Fort Stewart (GA)

1

16740.

Charlotte–Gastonia–Concord (NC, SC)

16

38540.

Pocatello (ID)

0

36740.

Orlando (FL)

15

12940.

Baton Rouge (LA)

3

23020.

Fort Walton Beach–Crestview–Destin (FL)

2

37980.

Philadelphia–Camden–Wilmington (DE, MD, NJ, PA)

51

21780.

Evansville (IN, KY)

6

21060.

Elizabethtown (KY)

4

48620.

Wichita (KS)

7

15180.

Brownsville–Harlingen (TX)

4

41860.

San Francisco–Oakland–Fremont (CA)

29

13020.

Bay City (MI)

1

20100.

Dover (DE)

1

47580.

Warner Robins (GA)

0

47300.

Visalia–Porterville (CA)

2

41500.

Salinas (CA)

1

14860.

Bridgeport–Stamford–Norwalk (CT)

7

37900.

Peoria (IL)

4

48540.

Wheeling (OH, WV)

2

39820.

Redding (CA)

1

10180.

Abilene (TX)

0

35660.

Niles–Benton Harbor (MI)

1

19340.

Davenport–Moline–Rock Island (IA, IL)

5

36260.

Ogden–Clearfield (UT)

5

17660.

Coeur D’Alene (ID)

0

46660.

Valdosta (GA)

1

33780.

Monroe (MI)

2

35620.

New York–Newark–Edison (NJ, NY, PA)

137

27140.

Jackson (MS)

3

43900.

Spartanburg (SC)

2

35300.

New Haven–Milford (CT)

8

43300.

Sherman–Denison (TX)

2

24220.

Grand Forks (MN, ND)

2

36140.

Ocean City (NJ)

0

10900.

Allentown–Bethlehem–Easton (NJ, PA)

2

30340.

Lewiston–Auburn (ME)

0

39300.

Providence–New Bedford–Fall River (MA, RI)

13

40140.

Riverside–San Bernardino–Ontario (CA)

36

40060.

Richmond (VA)

14

28100.

Kankakee–Bradley (IL)

1

42140.

Santa Fe (NM)

0

39540.

Racine (WI)

2

11100.

Amarillo (TX)

0

14500.

Boulder (CO)

1

19660.

Deltona–Daytona Beach–Ormond Beach (FL)

1

44220.

Springfield (OH)

3

19780.

Des Moines (IA)

0

34940.

Naples–Marco Island (FL)

2

13740.

Billings (MT)

0

18020.

Columbus (IN)

0

39100.

Poughkeepsie–Newburgh–Middletown (NY)

4

45940.

Trenton–Ewing (NJ)

3

16300.

Cedar Rapids (IA)

3

31540.

Madison (WI)

6

35980.

Norwich–New London (CT)

1

39660.

Rapid City (SD)

0

24340.

Grand Rapids–Wyoming (MI)

4

29460.

Lakeland–Winter Haven (FL)

4

11340.

Anderson (SC)

1

19500.

Decatur (IL)

0

16860.

Chattanooga (GA, TN)

4

24540.

Greeley (CO)

1

19060.

Cumberland (MD, WV)

2

13380.

Bellingham (WA)

5

25180.

Hagerstown–Martinsburg (MD, WV)

4

23060.

Fort Wayne (IN)

4

26620.

Huntsville (AL)

6

28660.

Killeen–Temple–Fort Hood (TX)

6

41620.

Salt Lake City (UT)

14

41700.

San Antonio (TX)

13

34100.

Morristown (TN)

3

48260.

Weirton–Steubenville (OH, WV)

0

24660.

Greensboro–High Point (NC)

2

26980.

Iowa City (IA)

3

33660.

Mobile (AL)

9

49700.

Yuba City–Marysville (CA)

1

13460.

Bend (OR)

3

29020.

Kokomo (IN)

0

39740.

Reading (PA)

10

34980.

Nashville–Davidson–Murfreesboro (TN)

12

17420.

Cleveland (TN)

0

38940.

Port St. Lucie–Fort Pierce (FL)

1

31100.

Los Angeles–Long Beach–Santa Ana (CA)

88

26300.

Hot Springs (AR)

2

49620.

York–Hanover (PA)

7

34820.

Myrtle Beach–Conway–North Myrtle Beach (SC)

2

28140.

Kansas City (KS, MO)

15

46540.

Utica–Rome (NY)

8

17300.

Clarksville (KY, TN)

4

25540.

Hartford–West Hartford–East Hartford (CT)

6

20500.

Durham (NC)

2

Variable Format: numeric

Notes: UNF:5:GGFQ1oCJHu+wfziIX/zryQ==

County

f2529475 Location:

Value

Label

Frequency

Text

13157.

Jackson County, GA

0

53055.

San Juan County, WA

0

31025.

Cass County, NE

0

13055.

Chattooga County, GA

0

21125.

Laurel County, KY

0

37103.

Jones County, NC

0

29053.

Cooper County, MO

0

56003.

Big Horn County, WY

0

18101.

Martin County, IN

0

27049.

Goodhue County, MN

0

24037.

St. Mary’s County, MD

0

42043.

Dauphin County, PA

0

42105.

Potter County, PA

0

40129.

Roger Mills County, OK

0

48479.

Webb County, TX

0

39113.

Montgomery County, OH

0

48093.

Comanche County, TX

0

48021.

Bastrop County, TX

0

21031.

Butler County, KY

0

28043.

Grenada County, MS

0

30053.

Lincoln County, MT

0

16031.

Cassia County, ID

0

16069.

Nez Perce County, ID

0

35061.

Valencia County, NM

0

31019.

Buffalo County, NE

0

48023.

Baylor County, TX

0

27169.

Winona County, MN

0

32007.

Elko County, NV

0

51133.

Northumberland County, VA

0

28049.

Hinds County, MS

0

19081.

Hancock County, IA

0

8085.

Montrose County, CO

0

24017.

Charles County, MD

0

28025.

Clay County, MS

0

54109.

Wyoming County, WV

0

48371.

Pecos County, TX

0

36017.

Chenango County, NY

0

48113.

Dallas County, TX

0

56013.

Fremont County, WY

0

6021.

Glenn County, CA

0

49023.

Juab County, UT

0

27003.

Anoka County, MN

0

37195.

Wilson County, NC

0

21153.

Magoffin County, KY

0

42041.

Cumberland County, PA

0

1065.

Hale County, AL

0

48089.

Colorado County, TX

0

46077.

Kingsbury County, SD

0

47099.

Lawrence County, TN

0

8007.

Archuleta County, CO

0

54017.

Doddridge County, WV

0

19017.

Bremer County, IA

0

29133.

Mississippi County, MO

0

20169.

Saline County, KS

0

28145.

Union County, MS

0

29207.

Stoddard County, MO

0

32027.

Pershing County, NV

0

36115.

Washington County, NY

0

6005.

Amador County, CA

0

17147.

Piatt County, IL

0

1123.

Tallapoosa County, AL

0

29059.

Dallas County, MO

0

6057.

Nevada County, CA

0

8057.

Jackson County, CO

0

51580.

Covington city, VA

0

55047.

Green Lake County, WI

0

22095.

St. John the Baptist Parish, LA

0

1103.

Morgan County, AL

0

55135.

Waupaca County, WI

0

40033.

Cotton County, OK

0

37005.

Alleghany County, NC

0

21149.

McLean County, KY

0

27099.

Mower County, MN

0

20167.

Russell County, KS

0

1115.

St. Clair County, AL

0

29119.

McDonald County, MO

0

48265.

Kerr County, TX

0

13119.

Franklin County, GA

0

48347.

Nacogdoches County, TX

0

56041.

Uinta County, WY

0

29013.

Bates County, MO

0

8015.

Chaffee County, CO

0

21143.

Lyon County, KY

0

38021.

Dickey County, ND

0

1047.

Dallas County, AL

0

36097.

Schuyler County, NY

0

26125.

Oakland County, MI

0

19009.

Audubon County, IA

0

48441.

Taylor County, TX

0

21183.

Ohio County, KY

0

51033.

Caroline County, VA

0

35055.

Taos County, NM

0

48147.

Fannin County, TX

0

21199.

Pulaski County, KY

0

19047.

Crawford County, IA

0

27035.

Crow Wing County, MN

0

25005.

Bristol County, MA

0

22089.

St. Charles Parish, LA

0

17127.

Massac County, IL

0

31177.

Washington County, NE

0

17187.

Warren County, IL

0

49053.

Washington County, UT

0

12017.

Citrus County, FL

0

18099.

Marshall County, IN

0

13279.

Toombs County, GA

0

42035.

Clinton County, PA

0

47157.

Shelby County, TN

0

55083.

Oconto County, WI

0

31033.

Cheyenne County, NE

0

48425.

Somervell County, TX

0

4027.

Yuma County, AZ

0

24045.

Wicomico County, MD

0

28109.

Pearl River County, MS

0

38079.

Rolette County, ND

0

28139.

Tippah County, MS

0

39143.

Sandusky County, OH

0

44005.

Newport County, RI

0

48503.

Young County, TX

0

40071.

Kay County, OK

0

1097.

Mobile County, AL

0

36013.

Chautauqua County, NY

0

1093.

Marion County, AL

0

13027.

Brooks County, GA

0

12047.

Hamilton County, FL

0

29109.

Lawrence County, MO

0

17171.

Scott County, IL

0

5109.

Pike County, AR

0

37023.

Burke County, NC

0

20109.

Logan County, KS

0

12087.

Monroe County, FL

0

36009.

Cattaraugus County, NY

0

5143.

Washington County, AR

0

19167.

Sioux County, IA

0

29085.

Hickory County, MO

0

26015.

Barry County, MI

0

46013.

Brown County, SD

0

42045.

Delaware County, PA

0

13059.

Clarke County, GA

0

26089.

Leelanau County, MI

0

29113.

Lincoln County, MO

0

1107.

Pickens County, AL

0

31013.

Box Butte County, NE

0

48059.

Callahan County, TX

0

21107.

Hopkins County, KY

0

26137.

Otsego County, MI

0

46099.

Minnehaha County, SD

0

26065.

Ingham County, MI

0

47087.

Jackson County, TN

0

29213.

Taney County, MO

0

5027.

Columbia County, AR

0

17143.

Peoria County, IL

0

46027.

Clay County, SD

0

12057.

Hillsborough County, FL

0

28017.

Chickasaw County, MS

0

1029.

Cleburne County, AL

0

36039.

Greene County, NY

0

21203.

Rockcastle County, KY

0

41063.

Wallowa County, OR

0

34011.

Cumberland County, NJ

0

26093.

Livingston County, MI

0

42109.

Snyder County, PA

0

56011.

Crook County, WY

0

13145.

Harris County, GA

0

1119.

Sumter County, AL

0

48067.

Cass County, TX

0

5025.

Cleveland County, AR

0

8097.

Pitkin County, CO

0

28113.

Pike County, MS

0

6009.

Calaveras County, CA

0

36029.

Erie County, NY

0

22003.

Allen Parish, LA

0

21191.

Pendleton County, KY

0

42111.

Somerset County, PA

0

34015.

Gloucester County, NJ

0

18013.

Brown County, IN

0

27105.

Nobles County, MN

0

21077.

Gallatin County, KY

0

54081.

Raleigh County, WV

0

47031.

Coffee County, TN

0

41031.

Jefferson County, OR

0

55139.

Winnebago County, WI

0

13185.

Lowndes County, GA

0

21119.

Knott County, KY

0

18117.

Orange County, IN

0

21075.

Fulton County, KY

0

47111.

Macon County, TN

0

27095.

Mille Lacs County, MN

0

48149.

Fayette County, TX

0

19055.

Delaware County, IA

0

5059.

Hot Spring County, AR

0

55125.

Vilas County, WI

0

45083.

Spartanburg County, SC

0

51037.

Charlotte County, VA

0

42053.

Forest County, PA

0

13171.

Lamar County, GA

0

17149.

Pike County, IL

0

36123.

Yates County, NY

0

17011.

Bureau County, IL

0

30091.

Sheridan County, MT

0

45069.

Marlboro County, SC

0

48039.

Brazoria County, TX

0

36111.

Ulster County, NY

0

55113.

Sawyer County, WI

0

47021.

Cheatham County, TN

0

39151.

Stark County, OH

0

6063.

Plumas County, CA

0

31139.

Pierce County, NE

0

45081.

Saluda County, SC

0

40009.

Beckham County, OK

0

21025.

Breathitt County, KY

0

13235.

Pulaski County, GA

0

13197.

Marion County, GA

0

1049.

DeKalb County, AL

0

51003.

Albemarle County, VA

0

46007.

Bennett County, SD

0

5111.

Poinsett County, AR

0

42077.

Lehigh County, PA

0

53059.

Skamania County, WA

0

29091.

Howell County, MO

0

55041.

Forest County, WI

0

16075.

Payette County, ID

0

29181.

Ripley County, MO

0

22025.

Catahoula Parish, LA

0

40151.

Woods County, OK

0

28123.

Scott County, MS

0

51181.

Surry County, VA

0

22117.

Washington Parish, LA

0

6011.

Colusa County, CA

0

28029.

Copiah County, MS

0

31107.

Knox County, NE

0

42065.

Jefferson County, PA

0

39147.

Seneca County, OH

0

21099.

Hart County, KY

0

39097.

Madison County, OH

0

8041.

El Paso County, CO

0

45031.

Darlington County, SC

0

31049.

Deuel County, NE

0

8051.

Gunnison County, CO

0

1045.

Dale County, AL

0

38039.

Griggs County, ND

0

5083.

Logan County, AR

0

40147.

Washington County, OK

0

8059.

Jefferson County, CO

0

18097.

Marion County, IN

0

55131.

Washington County, WI

0

23023.

Sagadahoc County, ME

0

37185.

Warren County, NC

0

42049.

Erie County, PA

0

29179.

Reynolds County, MO

0

40069.

Johnston County, OK

0

54107.

Wood County, WV

0

51053.

Dinwiddie County, VA

0

51049.

Cumberland County, VA

0

17117.

Macoupin County, IL

0

30075.

Powder River County, MT

0

13141.

Hancock County, GA

0

37137.

Pamlico County, NC

0

29171.

Putnam County, MO

0

29189.

St. Louis County, MO

0

19117.

Lucas County, IA

0

17139.

Moultrie County, IL

0

34021.

Mercer County, NJ

0

47181.

Wayne County, TN

0

17137.

Morgan County, IL

0

29017.

Bollinger County, MO

0

28075.

Lauderdale County, MS

0

29137.

Monroe County, MO

0

12075.

Levy County, FL

0

40139.

Texas County, OK

0

4001.

Apache County, AZ

0

36011.

Cayuga County, NY

0

13173.

Lanier County, GA

0

19185.

Wayne County, IA

0

48019.

Bandera County, TX

0

39021.

Champaign County, OH

0

53017.

Douglas County, WA

0

38047.

Logan County, ND

0

53031.

Jefferson County, WA

0

28045.

Hancock County, MS

0

20019.

Chautauqua County, KS

0

17045.

Edgar County, IL

0

45039.

Fairfield County, SC

0

54013.

Calhoun County, WV

0

30093.

Silver Bow County, MT

0

29019.

Boone County, MO

0

28127.

Simpson County, MS

0

18139.

Rush County, IN

0

39015.

Brown County, OH

0

47169.

Trousdale County, TN

0

29229.

Wright County, MO

0

17047.

Edwards County, IL

0

34027.

Morris County, NJ

0

29129.

Mercer County, MO

0

51083.

Halifax County, VA

0

29219.

Warren County, MO

0

48341.

Moore County, TX

0

41009.

Columbia County, OR

0

6089.

Shasta County, CA

0

39111.

Monroe County, OH

0

27115.

Pine County, MN

0

20183.

Smith County, KS

0

54095.

Tyler County, WV

0

13287.

Turner County, GA

0

38061.

Mountrail County, ND

0

23001.

Androscoggin County, ME

0

18011.

Boone County, IN

0

22093.

St. James Parish, LA

0

48249.

Jim Wells County, TX

0

27107.

Norman County, MN

0

46117.

Stanley County, SD

0

12085.

Martin County, FL

0

29049.

Clinton County, MO

0

29071.

Franklin County, MO

0

17055.

Franklin County, IL

0

36007.

Broome County, NY

0

37013.

Beaufort County, NC

0

48193.

Hamilton County, TX

0

28119.

Quitman County, MS

0

8021.

Conejos County, CO

0

24029.

Kent County, MD

0

37125.

Moore County, NC

0

39059.

Guernsey County, OH

0

24039.

Somerset County, MD

0

48197.

Hardeman County, TX

0

5013.

Calhoun County, AR

0

29143.

New Madrid County, MO

0

13085.

Dawson County, GA

0

47057.

Grainger County, TN

0

20157.

Republic County, KS

0

5131.

Sebastian County, AR

0

13297.

Walton County, GA

0

4019.

Pima County, AZ

0

51143.

Pittsylvania County, VA

0

21079.

Garrard County, KY

0

13009.

Baldwin County, GA

0

55121.

Trempealeau County, WI

0

42011.

Berks County, PA

0

20035.

Cowley County, KS

0

41013.

Crook County, OR

0

47023.

Chester County, TN

0

41027.

Hood River County, OR

0

30065.

Musselshell County, MT

0

1055.

Etowah County, AL

0

29035.

Carter County, MO

0

21173.

Montgomery County, KY

0

54065.

Morgan County, WV

0

48251.

Johnson County, TX

0

33019.

Sullivan County, NH

0

46103.

Pennington County, SD

0

19153.

Polk County, IA

0

51023.

Botetourt County, VA

0

21137.

Lincoln County, KY

0

1071.

Jackson County, AL

0

6031.

Kings County, CA

0

27027.

Clay County, MN

0

37021.

Buncombe County, NC

0

39087.

Lawrence County, OH

0

9013.

Tolland County, CT

0

48395.

Robertson County, TX

0

48177.

Gonzales County, TX

0

1073.

Jefferson County, AL

0

24033.

Prince George’s County, MD

0

17161.

Rock Island County, IL

0

16079.

Shoshone County, ID

0

48397.

Rockwall County, TX

0

4015.

Mohave County, AZ

0

36105.

Sullivan County, NY

0

22051.

Jefferson Parish, LA

0

21223.

Trimble County, KY

0

22059.

La Salle Parish, LA

0

48219.

Hockley County, TX

0

19143.

Osceola County, IA

0

39011.

Auglaize County, OH

0

16071.

Oneida County, ID

0

12011.

Broward County, FL

0

12125.

Union County, FL

0

37089.

Henderson County, NC

0

48115.

Dawson County, TX

0

51735.

Poquoson city, VA

0

48221.

Hood County, TX

0

12083.

Marion County, FL

0

39155.

Trumbull County, OH

0

29127.

Marion County, MO

0

13221.

Oglethorpe County, GA

0

51195.

Wise County, VA

0

17029.

Coles County, IL

0

34001.

Atlantic County, NJ

0

28153.

Wayne County, MS

0

30101.

Toole County, MT

0

37155.

Robeson County, NC

0

5101.

Newton County, AR

0

48157.

Fort Bend County, TX

0

28067.

Jones County, MS

0

47069.

Hardeman County, TN

0

54001.

Barbour County, WV

0

51111.

Lunenburg County, VA

0

17037.

DeKalb County, IL

0

45029.

Colleton County, SC

0

13021.

Bibb County, GA

0

47017.

Carroll County, TN

0

26159.

Van Buren County, MI

0

34003.

Bergen County, NJ

0

21157.

Marshall County, KY

0

18111.

Newton County, IN

0

17031.

Cook County, IL

0

39029.

Columbiana County, OH

0

46105.

Perkins County, SD

0

34013.

Essex County, NJ

0

46011.

Brookings County, SD

0

37091.

Hertford County, NC

0

40127.

Pushmataha County, OK

0

39133.

Portage County, OH

0

27155.

Traverse County, MN

0

42087.

Mifflin County, PA

0

44001.

Bristol County, RI

0

51081.

Greensville County, VA

0

21227.

Warren County, KY

0

48061.

Cameron County, TX

0

37171.

Surry County, NC

0

25003.

Berkshire County, MA

0

19139.

Muscatine County, IA

0

6013.

Contra Costa County, CA

0

13013.

Barrow County, GA

0

17113.

McLean County, IL

0

39045.

Fairfield County, OH

0

37079.

Greene County, NC

0

40035.

Craig County, OK

0

31111.

Lincoln County, NE

0

22031.

De Soto Parish, LA

0

42103.

Pike County, PA

0

24021.

Frederick County, MD

0

36035.

Fulton County, NY

0

1133.

Winston County, AL

0

20025.

Clark County, KS

0

31079.

Hall County, NE

0

17129.

Menard County, IL

0

20151.

Pratt County, KS

0

27065.

Kanabec County, MN

0

48351.

Newton County, TX

0

13103.

Effingham County, GA

0

6049.

Modoc County, CA

0

27131.

Rice County, MN

0

39089.

Licking County, OH

0

35017.

Grant County, NM

0

48009.

Archer County, TX

0

12039.

Gadsden County, FL

0

30083.

Richland County, MT

0

47113.

Madison County, TN

0

22023.

Cameron Parish, LA

0

55137.

Waushara County, WI

0

47003.

Bedford County, TN

0

53041.

Lewis County, WA

0

19147.

Palo Alto County, IA

0

40073.

Kingfisher County, OK

0

6113.

Yolo County, CA

0

31151.

Saline County, NE

0

27001.

Aitkin County, MN

0

51550.

Chesapeake city, VA

0

48467.

Van Zandt County, TX

0

19051.

Davis County, IA

0

48051.

Burleson County, TX

0

41069.

Wheeler County, OR

0

51079.

Greene County, VA

0

26077.

Kalamazoo County, MI

0

48175.

Goliad County, TX

0

42047.

Elk County, PA

0

31169.

Thayer County, NE

0

46049.

Faulk County, SD

0

25021.

Norfolk County, MA

0

22027.

Claiborne Parish, LA

0

40101.

Muskogee County, OK

0

17175.

Stark County, IL

0

48325.

Medina County, TX

0

19003.

Adams County, IA

0

13257.

Stephens County, GA

0

17157.

Randolph County, IL

0

27071.

Koochiching County, MN

0

31059.

Fillmore County, NE

0

54089.

Summers County, WV

0

12107.

Putnam County, FL

0

48315.

Marion County, TX

0

47159.

Smith County, TN

0

48427.

Starr County, TX

0

18069.

Huntington County, IN

0

45091.

York County, SC

0

39105.

Meigs County, OH

0

24011.

Caroline County, MD

0

45005.

Allendale County, SC

0

13169.

Jones County, GA

0

18127.

Porter County, IN

0

12053.

Hernando County, FL

0

54073.

Pleasants County, WV

0

56027.

Niobrara County, WY

0

13073.

Columbia County, GA

0

21185.

Oldham County, KY

0

21087.

Green County, KY

0

45009.

Bamberg County, SC

0

55007.

Bayfield County, WI

0

50025.

Windham County, VT

0

39101.

Marion County, OH

0

17053.

Ford County, IL

0

12127.

Volusia County, FL

0

17079.

Jasper County, IL

0

40083.

Logan County, OK

0

48413.

Schleicher County, TX

0

1061.

Geneva County, AL

0

48293.

Limestone County, TX

0

27133.

Rock County, MN

0

30027.

Fergus County, MT

0

5071.

Johnson County, AR

0

16057.

Latah County, ID

0

20061.

Geary County, KS

0

47161.

Stewart County, TN

0

56023.

Lincoln County, WY

0

17081.

Jefferson County, IL

0

48079.

Cochran County, TX

0

9011.

New London County, CT

0

27059.

Isanti County, MN

0

19087.

Henry County, IA

0

46035.

Davison County, SD

0

8029.

Delta County, CO

0

29009.

Barry County, MO

0

13245.

Richmond County, GA

0

29011.

Barton County, MO

0

12065.

Jefferson County, FL

0

28071.

Lafayette County, MS

0

48437.

Swisher County, TX

0

16055.

Kootenai County, ID

0

47123.

Monroe County, TN

0

36119.

Westchester County, NY

0

1077.

Lauderdale County, AL

0

18129.

Posey County, IN

0

17099.

La Salle County, IL

0

13121.

Fulton County, GA

0

35001.

Bernalillo County, NM

0

6029.

Kern County, CA

0

53063.

Spokane County, WA

0

27149.

Stevens County, MN

0

40055.

Greer County, OK

0

19135.

Monroe County, IA

0

48209.

Hays County, TX

0

48231.

Hunt County, TX

0

1081.

Lee County, AL

0

36023.

Cortland County, NY

0

29033.

Carroll County, MO

0

48489.

Willacy County, TX

0

5017.

Chicot County, AR

0

13183.

Long County, GA

0

29167.

Polk County, MO

0

18087.

LaGrange County, IN

0

42079.

Luzerne County, PA

0

48285.

Lavaca County, TX

0

19161.

Sac County, IA

0

28089.

Madison County, MS

0

18053.

Grant County, IN

0

50021.

Rutland County, VT

0

49021.

Iron County, UT

0

20037.

Crawford County, KS

0

36031.

Essex County, NY

0

18091.

LaPorte County, IN

0

51099.

King George County, VA

0

53025.

Grant County, WA

0

28097.

Montgomery County, MS

0

29061.

Daviess County, MO

0

48237.

Jack County, TX

0

30047.

Lake County, MT

0

38105.

Williams County, ND

0

17121.

Marion County, IL

0

45025.

Chesterfield County, SC

0

13211.

Morgan County, GA

0

31023.

Butler County, NE

0

29141.

Morgan County, MO

0

55091.

Pepin County, WI

0

51700.

Newport News city, VA

0

42099.

Perry County, PA

0

29117.

Livingston County, MO

0

21109.

Jackson County, KY

0

29073.

Gasconade County, MO

0

47029.

Cocke County, TN

0

56045.

Weston County, WY

0

33005.

Cheshire County, NH

0

22065.

Madison Parish, LA

0

37123.

Montgomery County, NC

0

17203.

Woodford County, IL

0

53005.

Benton County, WA

0

26067.

Ionia County, MI

0

21217.

Taylor County, KY

0

1121.

Talladega County, AL

0

31093.

Howard County, NE

0

31119.

Madison County, NE

0

37149.

Polk County, NC

0

41015.

Curry County, OR

0

38057.

Mercer County, ND

0

20091.

Johnson County, KS

0

50013.

Grand Isle County, VT

0

13295.

Walker County, GA

0

28019.

Choctaw County, MS

0

55029.

Door County, WI

0

37157.

Rockingham County, NC

0

51135.

Nottoway County, VA

0

39017.

Butler County, OH

0

51067.

Franklin County, VA

0

27161.

Waseca County, MN

0

5103.

Ouachita County, AR

0

54045.

Logan County, WV

0

23007.

Franklin County, ME

0

20057.

Ford County, KS

0

51790.

Staunton city, VA

0

8033.

Dolores County, CO

0

48063.

Camp County, TX

0

27055.

Houston County, MN

0

40053.

Grant County, OK

0

31123.

Morrill County, NE

0

46017.

Buffalo County, SD

0

53057.

Skagit County, WA

0

55073.

Marathon County, WI

0

53077.

Yakima County, WA

0

19111.

Lee County, IA

0

12103.

Pinellas County, FL

0

21049.

Clark County, KY

0

21033.

Caldwell County, KY

0

55015.

Calumet County, WI

0

46053.

Gregory County, SD

0

12031.

Duval County, FL

0

48501.

Yoakum County, TX

0

22017.

Caddo Parish, LA

0

1095.

Marshall County, AL

0

37071.

Gaston County, NC

0

51820.

Waynesboro city, VA

0

29169.

Pulaski County, MO

0

31099.

Kearney County, NE

0

27061.

Itasca County, MN

0

22067.

Morehouse Parish, LA

0

41023.

Grant County, OR

0

21155.

Marion County, KY

0

18143.

Scott County, IN

0

51620.

Franklin city, VA

0

37081.

Guilford County, NC

0

39013.

Belmont County, OH

0

13077.

Coweta County, GA

0

22039.

Evangeline Parish, LA

0

49007.

Carbon County, UT

0

9009.

New Haven County, CT

0

22071.

Orleans Parish, LA

0

51017.

Bath County, VA

0

31089.

Holt County, NE

0

18079.

Jennings County, IN

0

48363.

Palo Pinto County, TX

0

51173.

Smyth County, VA

0

37087.

Haywood County, NC

0

55043.

Grant County, WI

0

40029.

Coal County, OK

0

22041.

Franklin Parish, LA

0

1131.

Wilcox County, AL

0

36049.

Lewis County, NY

0

35011.

De Baca County, NM

0

55001.

Adams County, WI

0

53065.

Stevens County, WA

0

38081.

Sargent County, ND

0

55077.

Marquette County, WI

0

55097.

Portage County, WI

0

48485.

Wichita County, TX

0

54079.

Putnam County, WV

0

48353.

Nolan County, TX

0

13307.

Webster County, GA

0

48049.

Brown County, TX

0

39137.

Putnam County, OH

0

24013.

Carroll County, MD

0

39159.

Union County, OH

0

18035.

Delaware County, IN

0

12007.

Bradford County, FL

0

19007.

Appanoose County, IA

0

4013.

Maricopa County, AZ

0

1019.

Cherokee County, AL

0

48163.

Frio County, TX

0

13131.

Grady County, GA

0

34029.

Ocean County, NJ

0

54071.

Pendleton County, WV

0

17173.

Shelby County, IL

0

18009.

Blackford County, IN

0

48289.

Leon County, TX

0

21047.

Christian County, KY

0

18175.

Washington County, IN

0

27147.

Steele County, MN

0

4009.

Graham County, AZ

0

35021.

Harding County, NM

0

46125.

Turner County, SD

0

27139.

Scott County, MN

0

19157.

Poweshiek County, IA

0

39027.

Clinton County, OH

0

13089.

DeKalb County, GA

0

19127.

Marshall County, IA

0

48373.

Polk County, TX

0

48321.

Matagorda County, TX

0

55031.

Douglas County, WI

0

42005.

Armstrong County, PA

0

13017.

Ben Hill County, GA

0

22035.

East Carroll Parish, LA

0

21151.

Madison County, KY

0

39039.

Defiance County, OH

0

27173.

Yellow Medicine County, MN

0

39035.

Cuyahoga County, OH

0

46019.

Butte County, SD

0

28035.

Forrest County, MS

0

16019.

Bonneville County, ID

0

29081.

Harrison County, MO

0

46045.

Edmunds County, SD

0

27085.

McLeod County, MN

0

4005.

Coconino County, AZ

0

21123.

Larue County, KY

0

46087.

McCook County, SD

0

21127.

Lawrence County, KY

0

18049.

Fulton County, IN

0

46033.

Custer County, SD

0

16003.

Adams County, ID

0

45079.

Richland County, SC

0

47187.

Williamson County, TN

0

36099.

Seneca County, NY

0

8107.

Routt County, CO

0

47177.

Warren County, TN

0

21113.

Jessamine County, KY

0

17083.

Jersey County, IL

0

37049.

Craven County, NC

0

54103.

Wetzel County, WV

0

45071.

Newberry County, SC

0

51025.

Brunswick County, VA

0

51011.

Appomattox County, VA

0

29005.

Atchison County, MO

0

21193.

Perry County, KY

0

22019.

Calcasieu Parish, LA

0

24510.

Baltimore city, MD

0

29093.

Iron County, MO

0

12027.

DeSoto County, FL

0

53039.

Klickitat County, WA

0

27103.

Nicollet County, MN

0

47109.

McNairy County, TN

0

39169.

Wayne County, OH

0

22097.

St. Landry Parish, LA

0

48165.

Gaines County, TX

0

29069.

Dunklin County, MO

0

26079.

Kalkaska County, MI

0

37167.

Stanly County, NC

0

24035.

Queen Anne’s County, MD

0

31141.

Platte County, NE

0

36071.

Orange County, NY

0

20087.

Jefferson County, KS

0

38085.

Sioux County, ND

0

42051.

Fayette County, PA

0

29075.

Gentry County, MO

0

22111.

Union Parish, LA

0

8067.

La Plata County, CO

0

22105.

Tangipahoa Parish, LA

0

20009.

Barton County, KS

0

26117.

Montcalm County, MI

0

45053.

Jasper County, SC

0

40093.

Major County, OK

0

40095.

Marshall County, OK

0

22103.

St. Tammany Parish, LA

0

48349.

Navarro County, TX

0

18033.

DeKalb County, IN

0

21065.

Estill County, KY

0

45075.

Orangeburg County, SC

0

5085.

Lonoke County, AR

0

5089.

Marion County, AR

0

17091.

Kankakee County, IL

0

28149.

Warren County, MS

0

35045.

San Juan County, NM

0

48017.

Bailey County, TX

0

31031.

Cherry County, NE

0

5051.

Garland County, AR

0

27113.

Pennington County, MN

0

29041.

Chariton County, MO

0

13319.

Wilkinson County, GA

0

42085.

Mercer County, PA

0

51185.

Tazewell County, VA

0

17023.

Clark County, IL

0

42129.

Westmoreland County, PA

0

38099.

Walsh County, ND

0

30023.

Deer Lodge County, MT

0

51093.

Isle of Wight County, VA

0

51073.

Gloucester County, VA

0

51175.

Southampton County, VA

0

54105.

Wirt County, WV

0

40039.

Custer County, OK

0

38089.

Stark County, ND

0

13151.

Henry County, GA

0

48297.

Live Oak County, TX

0

18137.

Ripley County, IN

0

13139.

Hall County, GA

0

30033.

Garfield County, MT

0

16005.

Bannock County, ID

0

55107.

Rusk County, WI

0

40049.

Garvin County, OK

0

16021.

Boundary County, ID

0

19119.

Lyon County, IA

0

18095.

Madison County, IN

0

48303.

Lubbock County, TX

0

51103.

Lancaster County, VA

0

17163.

St. Clair County, IL

0

42093.

Montour County, PA

0

21169.

Metcalfe County, KY

0

51119.

Middlesex County, VA

0

54037.

Jefferson County, WV

0

29025.

Caldwell County, MO

0

12037.

Franklin County, FL

0

21009.

Barren County, KY

0

29151.

Osage County, MO

0

17119.

Madison County, IL

0

41005.

Clackamas County, OR

0

27041.

Douglas County, MN

0

48259.

Kendall County, TX

0

51069.

Frederick County, VA

0

17051.

Fayette County, IL

0

42081.

Lycoming County, PA

0

41025.

Harney County, OR

0

36069.

Ontario County, NY

0

37067.

Forsyth County, NC

0

26011.

Arenac County, MI

0

18181.

White County, IN

0

34009.

Cape May County, NJ

0

54019.

Fayette County, WV

0

47075.

Haywood County, TN

0

8014.

Broomfield County, CO

0

47013.

Campbell County, TN

0

48323.

Maverick County, TX

0

48217.

Hill County, TX

0

48215.

Hidalgo County, TX

0

34031.

Passaic County, NJ

0

19175.

Union County, IA

0

45073.

Oconee County, SC

0

18017.

Cass County, IN

0

26139.

Ottawa County, MI

0

21101.

Henderson County, KY

0

6069.

San Benito County, CA

0

37169.

Stokes County, NC

0

40063.

Hughes County, OK

0

13063.

Clayton County, GA

0

21167.

Mercer County, KY

0

1075.

Lamar County, AL

0

13051.

Chatham County, GA

0

18141.

St. Joseph County, IN

0

17105.

Livingston County, IL

0

48507.

Zavala County, TX

0

16061.

Lewis County, ID

0

25019.

Nantucket County, MA

0

22125.

West Feliciana Parish, LA

0

17019.

Champaign County, IL

0

51045.

Craig County, VA

0

13125.

Glascock County, GA

0

37019.

Brunswick County, NC

0

5115.

Pope County, AR

0

12111.

St. Lucie County, FL

0

38009.

Bottineau County, ND

0

5041.

Desha County, AR

0

37127.

Nash County, NC

0

51179.

Stafford County, VA

0

31145.

Red Willow County, NE

0

27037.

Dakota County, MN

0

51085.

Hanover County, VA

0

17087.

Johnson County, IL

0

17189.

Washington County, IL

0

20205.

Wilson County, KS

0

8083.

Montezuma County, CO

0

51147.

Prince Edward County, VA

0

36103.

Suffolk County, NY

0

51075.

Goochland County, VA

0

5141.

Van Buren County, AR

0

42095.

Northampton County, PA

0

41011.

Coos County, OR

0

41047.

Marion County, OR

0

17017.

Cass County, IL

0

12129.

Wakulla County, FL

0

22115.

Vernon Parish, LA

0

34041.

Warren County, NJ

0

53013.

Columbia County, WA

0

31185.

York County, NE

0

16009.

Benewah County, ID

0

31129.

Nuckolls County, NE

0

26009.

Antrim County, MI

0

39037.

Darke County, OH

0

17071.

Henderson County, IL

0

29047.

Clay County, MO

0

8071.

Las Animas County, CO

0

13311.

White County, GA

0

13223.

Paulding County, GA

0

27051.

Grant County, MN

0

19075.

Grundy County, IA

0

46091.

Marshall County, SD

0

38025.

Dunn County, ND

0

8093.

Park County, CO

0

46029.

Codington County, SD

0

47071.

Hardin County, TN

0

12086.

Miami-Dade County, FL

0

31051.

Dixon County, NE

0

26073.

Isabella County, MI

0

17107.

Logan County, IL

0

13161.

Jeff Davis County, GA

0

40153.

Woodward County, OK

0

51063.

Floyd County, VA

0

51021.

Bland County, VA

0

1127.

Walker County, AL

0

47183.

Weakley County, TN

0

54053.

Mason County, WV

0

41007.

Clatsop County, OR

0

33003.

Carroll County, NH

0

38055.

McLean County, ND

0

18179.

Wells County, IN

0

48445.

Terry County, TX

0

37007.

Anson County, NC

0

20093.

Kearny County, KS

0

8115.

Sedgwick County, CO

0

48407.

San Jacinto County, TX

0

31001.

Adams County, NE

0

37119.

Mecklenburg County, NC

0

46079.

Lake County, SD

0

29139.

Montgomery County, MO

0

53047.

Okanogan County, WA

0

36025.

Delaware County, NY

0

48495.

Winkler County, TX

0

46081.

Lawrence County, SD

0

17111.

McHenry County, IL

0

21211.

Shelby County, KY

0

42009.

Bedford County, PA

0

13071.

Colquitt County, GA

0

27119.

Polk County, MN

0

17075.

Iroquois County, IL

0

30071.

Phillips County, MT

0

47077.

Henderson County, TN

0

13107.

Emanuel County, GA

0

4023.

Santa Cruz County, AZ

0

22047.

Iberville Parish, LA

0

20029.

Cloud County, KS

0

19029.

Cass County, IA

0

26099.

Macomb County, MI

0

8063.

Kit Carson County, CO

0

22073.

Ouachita Parish, LA

0

45001.

Abbeville County, SC

0

39053.

Gallia County, OH

0

13213.

Murray County, GA

0

21161.

Mason County, KY

0

37163.

Sampson County, NC

0

21063.

Elliott County, KY

0

40143.

Tulsa County, OK

0

18021.

Clay County, IN

0

26155.

Shiawassee County, MI

0

54059.

Mingo County, WV

0

49057.

Weber County, UT

0

31009.

Blaine County, NE

0

12015.

Charlotte County, FL

0

9005.

Litchfield County, CT

0

21177.

Muhlenberg County, KY

0

40111.

Okmulgee County, OK

0

29125.

Maries County, MO

0

27117.

Pipestone County, MN

0

20073.

Greenwood County, KS

0

17049.

Effingham County, IL

0

18055.

Greene County, IN

0

36055.

Monroe County, NY

0

1031.

Coffee County, AL

0

8101.

Pueblo County, CO

0

29079.

Grundy County, MO

0

46009.

Bon Homme County, SD

0

35005.

Chaves County, NM

0

18155.

Switzerland County, IN

0

28021.

Claiborne County, MS

0

6041.

Marin County, CA

0

37039.

Cherokee County, NC

0

41055.

Sherman County, OR

0

6027.

Inyo County, CA

0

18057.

Hamilton County, IN

0

39167.

Washington County, OH

0

6025.

Imperial County, CA

0

54003.

Berkeley County, WV

0

51153.

Prince William County, VA

0

1003.

Baldwin County, AL

0

19095.

Iowa County, IA

0

47127.

Moore County, TN

0

1011.

Bullock County, AL

0

55071.

Manitowoc County, WI

0

53061.

Snohomish County, WA

0

17199.

Williamson County, IL

0

27009.

Benton County, MN

0

19187.

Webster County, IA

0

54061.

Monongalia County, WV

0

30025.

Fallon County, MT

0

16037.

Custer County, ID

0

26115.

Monroe County, MI

0

22063.

Livingston Parish, LA

0

51600.

Fairfax city, VA

0

5119.

Pulaski County, AR

0

39041.

Delaware County, OH

0

6071.

San Bernardino County, CA

0

26141.

Presque Isle County, MI

0

54063.

Monroe County, WV

0

19059.

Dickinson County, IA

0

55119.

Taylor County, WI

0

40023.

Choctaw County, OK

0

55021.

Columbia County, WI

0

54005.

Boone County, WV

0

6091.

Sierra County, CA

0

45003.

Aiken County, SC

0

47163.

Sullivan County, TN

0

27075.

Lake County, MN

0

23019.

Penobscot County, ME

0

40007.

Beaver County, OK

0

30029.

Flathead County, MT

0

55025.

Dane County, WI

0

19099.

Jasper County, IA

0

29197.

Schuyler County, MO

0

37041.

Chowan County, NC

0

48455.

Trinity County, TX

0

54099.

Wayne County, WV

0

1033.

Colbert County, AL

0

8013.

Boulder County, CO

0

13273.

Terrell County, GA

0

26025.

Calhoun County, MI

0

42031.

Clarion County, PA

0

48361.

Orange County, TX

0

48135.

Ector County, TX

0

46119.

Sully County, SD

0

8053.

Hinsdale County, CO

0

21021.

Boyle County, KY

0

39171.

Williams County, OH

0

27153.

Todd County, MN

0

47139.

Polk County, TN

0

48275.

Knox County, TX

0

24003.

Anne Arundel County, MD

0

17159.

Richland County, IL

0

53035.

Kitsap County, WA

0

16077.

Power County, ID

0

42023.

Cameron County, PA

0

37143.

Perquimans County, NC

0

18043.

Floyd County, IN

0

29067.

Douglas County, MO

0

38103.

Wells County, ND

0

54067.

Nicholas County, WV

0

23013.

Knox County, ME

0

13029.

Bryan County, GA

0

36087.

Rockland County, NY

0

48339.

Montgomery County, TX

0

26163.

Wayne County, MI

0

51009.

Amherst County, VA

0

37003.

Alexander County, NC

0

20173.

Sedgwick County, KS

0

13205.

Mitchell County, GA

0

51530.

Buena Vista city, VA

0

54087.

Roane County, WV

0

39057.

Greene County, OH

0

16029.

Caribou County, ID

0

47101.

Lewis County, TN

0

48263.

Kent County, TX

0

18041.

Fayette County, IN

0

6093.

Siskiyou County, CA

0

30045.

Judith Basin County, MT

0

27067.

Kandiyohi County, MN

0

25001.

Barnstable County, MA

0

31015.

Boyd County, NE

0

29186.

Ste. Genevieve County, MO

0

16039.

Elmore County, ID

0

5123.

St. Francis County, AR

0

20017.

Chase County, KS

0

6047.

Merced County, CA

0

13135.

Gwinnett County, GA

0

39129.

Pickaway County, OH

0

29027.

Callaway County, MO

0

48161.

Freestone County, TX

0

28047.

Harrison County, MS

0

36005.

Bronx County, NY

0

55115.

Shawano County, WI

0

1125.

Tuscaloosa County, AL

0

19067.

Floyd County, IA

0

8039.

Elbert County, CO

0

21081.

Grant County, KY

0

56001.

Albany County, WY

0

18067.

Howard County, IN

0

16073.

Owyhee County, ID

0

56009.

Converse County, WY

0

5047.

Franklin County, AR

0

13313.

Whitfield County, GA

0

47079.

Henry County, TN

0

41001.

Baker County, OR

0

13201.

Miller County, GA

0

37077.

Granville County, NC

0

32029.

Storey County, NV

0

45043.

Georgetown County, SC

0

12117.

Seminole County, FL

0

56005.

Campbell County, WY

0

8001.

Adams County, CO

0

26059.

Hillsdale County, MI

0

55019.

Clark County, WI

0

8019.

Clear Creek County, CO

0

13233.

Polk County, GA

0

55095.

Polk County, WI

0

17145.

Perry County, IL

0

19193.

Woodbury County, IA

0

46135.

Yankton County, SD

0

6053.

Monterey County, CA

0

19137.

Montgomery County, IA

0

30073.

Pondera County, MT

0

22005.

Ascension Parish, LA

0

1113.

Russell County, AL

0

40097.

Mayes County, OK

0

48083.

Coleman County, TX

0

29007.

Audrain County, MO

0

41057.

Tillamook County, OR

0

42125.

Washington County, PA

0

28159.

Winston County, MS

0

51163.

Rockbridge County, VA

0

48227.

Howard County, TX

0

35059.

Union County, NM

0

55003.

Ashland County, WI

0

12115.

Sarasota County, FL

0

40123.

Pontotoc County, OK

0

42121.

Venango County, PA

0

8031.

Denver County, CO

0

27093.

Meeker County, MN

0

46071.

Jackson County, SD

0

23003.

Aroostook County, ME

0

20131.

Nemaha County, KS

0

29223.

Wayne County, MO

0

48091.

Comal County, TX

0

54041.

Lewis County, WV

0

6115.

Yuba County, CA

0

19171.

Tama County, IA

0

42101.

Philadelphia County, PA

0

39099.

Mahoning County, OH

0

39117.

Morrow County, OH

0

33009.

Grafton County, NH

0

40025.

Cimarron County, OK

0

5003.

Ashley County, AR

0

19141.

O’Brien County, IA

0

35049.

Santa Fe County, NM

0

37101.

Johnston County, NC

0

35003.

Catron County, NM

0

21093.

Hardin County, KY

0

21001.

Adair County, KY

0

18109.

Morgan County, IN

0

45065.

McCormick County, SC

0

13165.

Jenkins County, GA

0

6097.

Sonoma County, CA

0

47173.

Union County, TN

0

26021.

Berrien County, MI

0

1105.

Perry County, AL

0

53011.

Clark County, WA

0

11001.

District of Columbia, DC

0

48117.

Deaf Smith County, TX

0

19125.

Marion County, IA

0

39067.

Harrison County, OH

0

25027.

Worcester County, MA

0

28147.

Walthall County, MS

0

40085.

Love County, OK

0

8049.

Grand County, CO

0

24027.

Howard County, MD

0

56043.

Washakie County, WY

0

27081.

Lincoln County, MN

0

55035.

Eau Claire County, WI

0

34033.

Salem County, NJ

0

29057.

Dade County, MO

0

12003.

Baker County, FL

0

6017.

El Dorado County, CA

0

13123.

Gilmer County, GA

0

12035.

Flagler County, FL

0

55081.

Monroe County, WI

0

29221.

Washington County, MO

0

51730.

Petersburg city, VA

0

10005.

Sussex County, DE

0

18051.

Gibson County, IN

0

5031.

Craighead County, AR

0

17015.

Carroll County, IL

0

27135.

Roseau County, MN

0

45007.

Anderson County, SC

0

12009.

Brevard County, FL

0

31011.

Boone County, NE

0

8109.

Saguache County, CO

0

21041.

Carroll County, KY

0

37015.

Bertie County, NC

0

12045.

Gulf County, FL

0

9003.

Hartford County, CT

0

37037.

Chatham County, NC

0

16081.

Teton County, ID

0

50003.

Bennington County, VT

0

30079.

Prairie County, MT

0

47041.

DeKalb County, TN

0

19115.

Louisa County, IA

0

5035.

Crittenden County, AR

0

31017.

Brown County, NE

0

42013.

Blair County, PA

0

31005.

Arthur County, NE

0

48001.

Anderson County, TX

0

56025.

Natrona County, WY

0

47025.

Claiborne County, TN

0

42061.

Huntingdon County, PA

0

56019.

Johnson County, WY

0

42115.

Susquehanna County, PA

0

48399.

Runnels County, TX

0

12081.

Manatee County, FL

0

26061.

Houghton County, MI

0

18119.

Owen County, IN

0

26107.

Mecosta County, MI

0

47015.

Cannon County, TN

0

35007.

Colfax County, NM

0

5135.

Sharp County, AR

0

20137.

Norton County, KS

0

21135.

Lewis County, KY

0

17101.

Lawrence County, IL

0

32005.

Douglas County, NV

0

42067.

Juniata County, PA

0

48233.

Hutchinson County, TX

0

35013.

Dona Ana County, NM

0

21111.

Jefferson County, KY

0

12121.

Suwannee County, FL

0

18135.

Randolph County, IN

0

16059.

Lemhi County, ID

0

40089.

McCurtain County, OK

0

39095.

Lucas County, OH

0

13191.

McIntosh County, GA

0

48465.

Val Verde County, TX

0

46127.

Union County, SD

0

8121.

Washington County, CO

0

31053.

Dodge County, NE

0

48005.

Angelina County, TX

0

48127.

Dimmit County, TX

0

13255.

Spalding County, GA

0

48257.

Kaufman County, TX

0

5097.

Montgomery County, AR

0

51670.

Hopewell city, VA

0

5067.

Jackson County, AR

0

24019.

Dorchester County, MD

0

47137.

Pickett County, TN

0

47117.

Marshall County, TN

0

38003.

Barnes County, ND

0

36001.

Albany County, NY

0

48267.

Kimble County, TX

0

20201.

Washington County, KS

0

18161.

Union County, IN

0

40109.

Oklahoma County, OK

0

21059.

Daviess County, KY

0

20113.

McPherson County, KS

0

1109.

Pike County, AL

0

1035.

Conecuh County, AL

0

31153.

Sarpy County, NE

0

13241.

Rabun County, GA

0

21043.

Carter County, KY

0

30111.

Yellowstone County, MT

0

48333.

Mills County, TX

0

38049.

McHenry County, ND

0

13293.

Upson County, GA

0

37073.

Gates County, NC

0

47005.

Benton County, TN

0

50005.

Caledonia County, VT

0

51775.

Salem city, VA

0

49003.

Box Elder County, UT

0

20121.

Miami County, KS

0

28011.

Bolivar County, MS

0

48047.

Brooks County, TX

0

21189.

Owsley County, KY

0

51187.

Warren County, VA

0

5001.

Arkansas County, AR

0

20005.

Atchison County, KS

0

41049.

Morrow County, OR

0

19021.

Buena Vista County, IA

0

42117.

Tioga County, PA

0

37197.

Yadkin County, NC

0

13025.

Brantley County, GA

0

17093.

Kendall County, IL

0

5095.

Monroe County, AR

0

21011.

Bath County, KY

0

27167.

Wilkin County, MN

0

48355.

Nueces County, TX

0

26109.

Menominee County, MI

0

27129.

Renville County, MN

0

20119.

Meade County, KS

0

51115.

Mathews County, VA

0

1063.

Greene County, AL

0

36107.

Tioga County, NY

0

51137.

Orange County, VA

0

51840.

Winchester city, VA

0

18183.

Whitley County, IN

0

8023.

Costilla County, CO

0

35027.

Lincoln County, NM

0

37031.

Carteret County, NC

0

36057.

Montgomery County, NY

0

12077.

Liberty County, FL

0

6043.

Mariposa County, CA

0

39135.

Preble County, OH

0

48497.

Wise County, TX

0

27011.

Big Stone County, MN

0

21237.

Wolfe County, KY

0

47153.

Sequatchie County, TN

0

40059.

Harper County, OK

0

29031.

Cape Girardeau County, MO

0

37043.

Clay County, NC

0

37165.

Scotland County, NC

0

20063.

Gove County, KS

0

48119.

Delta County, TX

0

28007.

Attala County, MS

0

46065.

Hughes County, SD

0

21171.

Monroe County, KY

0

26013.

Baraga County, MI

0

18163.

Vanderburgh County, IN

0

36079.

Putnam County, NY

0

5005.

Baxter County, AR

0

50007.

Chittenden County, VT

0

48133.

Eastland County, TX

0

5009.

Boone County, AR

0

47145.

Roane County, TN

0

27019.

Carver County, MN

0

8073.

Lincoln County, CO

0

55089.

Ozaukee County, WI

0

31157.

Scotts Bluff County, NE

0

37025.

Cabarrus County, NC

0

26039.

Crawford County, MI

0

17193.

White County, IL

0

36101.

Steuben County, NY

0

8045.

Garfield County, CO

0

27125.

Red Lake County, MN

0

29037.

Cass County, MO

0

47185.

White County, TN

0

42073.

Lawrence County, PA

0

5057.

Hempstead County, AR

0

41051.

Multnomah County, OR

0

48025.

Bee County, TX

0

13291.

Union County, GA

0

31165.

Sioux County, NE

0

6081.

San Mateo County, CA

0

30051.

Liberty County, MT

0

21027.

Breckinridge County, KY

0

21163.

Meade County, KY

0

24043.

Washington County, MD

0

53019.

Ferry County, WA

0

51157.

Rappahannock County, VA

0

39055.

Geauga County, OH

0

5145.

White County, AR

0

40103.

Noble County, OK

0

13113.

Fayette County, GA

0

36027.

Dutchess County, NY

0

20085.

Jackson County, KS

0

37065.

Edgecombe County, NC

0

20015.

Butler County, KS

0

37113.

Macon County, NC

0

20125.

Montgomery County, KS

0

42071.

Lancaster County, PA

0

13305.

Wayne County, GA

0

48271.

Kinney County, TX

0

48283.

La Salle County, TX

0

48199.

Hardin County, TX

0

20141.

Osborne County, KS

0

37093.

Hoke County, NC

0

21091.

Hancock County, KY

0

5061.

Howard County, AR

0

27123.

Ramsey County, MN

0

31003.

Antelope County, NE

0

21129.

Lee County, KY

0

39123.

Ottawa County, OH

0

48109.

Culberson County, TX

0

48429.

Stephens County, TX

0

54011.

Cabell County, WV

0

23021.

Piscataquis County, ME

0

46051.

Grant County, SD

0

46093.

Meade County, SD

0

19043.

Clayton County, IA

0

29177.

Ray County, MO

0

13229.

Pierce County, GA

0

27005.

Becker County, MN

0

22053.

Jefferson Davis Parish, LA

0

40091.

McIntosh County, OK

0

17103.

Lee County, IL

0

21105.

Hickman County, KY

0

51121.

Montgomery County, VA

0

8113.

San Miguel County, CO

0

31155.

Saunders County, NE

0

8123.

Weld County, CO

0

51660.

Harrisonburg city, VA

0

48411.

San Saba County, TX

0

46055.

Haakon County, SD

0

37191.

Wayne County, NC

0

55101.

Racine County, WI

0

47143.

Rhea County, TN

0

18115.

Ohio County, IN

0

42059.

Greene County, PA

0

5053.

Grant County, AR

0

20187.

Stanton County, KS

0

55087.

Outagamie County, WI

0

8043.

Fremont County, CO

0

16011.

Bingham County, ID

0

6035.

Lassen County, CA

0

13227.

Pickens County, GA

0

29201.

Scott County, MO

0

22113.

Vermilion Parish, LA

0

32001.

Churchill County, NV

0

54033.

Harrison County, WV

0

48281.

Lampasas County, TX

0

55069.

Lincoln County, WI

0

32019.

Lyon County, NV

0

20133.

Neosho County, KS

0

39175.

Wyandot County, OH

0

13237.

Putnam County, GA

0

40115.

Ottawa County, OK

0

13147.

Hart County, GA

0

48031.

Blanco County, TX

0

21215.

Spencer County, KY

0

13285.

Troup County, GA

0

48483.

Wheeler County, TX

0

4011.

Greenlee County, AZ

0

56007.

Carbon County, WY

0

20105.

Lincoln County, KS

0

48277.

Lamar County, TX

0

20047.

Edwards County, KS

0

19005.

Allamakee County, IA

0

35015.

Eddy County, NM

0

45063.

Lexington County, SC

0

19039.

Clarke County, IA

0

20049.

Elk County, KS

0

48255.

Karnes County, TX

0

12109.

St. Johns County, FL

0

48487.

Wilbarger County, TX

0

22057.

Lafourche Parish, LA

0

47125.

Montgomery County, TN

0

38067.

Pembina County, ND

0

31105.

Kimball County, NE

0

19163.

Scott County, IA

0

55103.

Richland County, WI

0

13143.

Haralson County, GA

0

34039.

Union County, NJ

0

12001.

Alachua County, FL

0

22029.

Concordia Parish, LA

0

24025.

Harford County, MD

0

21205.

Rowan County, KY

0

47151.

Scott County, TN

0

37179.

Union County, NC

0

51051.

Dickenson County, VA

0

8119.

Teller County, CO

0

48145.

Falls County, TX

0

27015.

Brown County, MN

0

29023.

Butler County, MO

0

47061.

Grundy County, TN

0

8055.

Huerfano County, CO

0

18071.

Jackson County, IN

0

39007.

Ashtabula County, OH

0

36015.

Chemung County, NY

0

19131.

Mitchell County, IA

0

12113.

Santa Rosa County, FL

0

40141.

Tillman County, OK

0

28033.

DeSoto County, MS

0

48403.

Sabine County, TX

0

19177.

Van Buren County, IA

0

18159.

Tipton County, IN

0

6095.

Solano County, CA

0

19079.

Hamilton County, IA

0

21051.

Clay County, KY

0

48273.

Kleberg County, TX

0

13217.

Newton County, GA

0

17165.

Saline County, IL

0

17005.

Bond County, IL

0

31043.

Dakota County, NE

0

48331.

Milam County, TX

0

32015.

Lander County, NV

0

13105.

Elbert County, GA

0

29157.

Perry County, MO

0

50011.

Franklin County, VT

0

27057.

Hubbard County, MN

0

32031.

Washoe County, NV

0

19165.

Shelby County, IA

0

22077.

Pointe Coupee Parish, LA

0

51183.

Sussex County, VA

0

47001.

Anderson County, TN

0

26081.

Kent County, MI

0

26143.

Roscommon County, MI

0

20023.

Cheyenne County, KS

0

51077.

Grayson County, VA

0

24023.

Garrett County, MD

0

33013.

Merrimack County, NH

0

29209.

Stone County, MO

0

28087.

Lowndes County, MS

0

18153.

Sullivan County, IN

0

53043.

Lincoln County, WA

0

46129.

Walworth County, SD

0

38059.

Morton County, ND

0

28065.

Jefferson Davis County, MS

0

26069.

Iosco County, MI

0

41067.

Washington County, OR

0

48459.

Upshur County, TX

0

17009.

Brown County, IL

0

8125.

Yuma County, CO

0

26035.

Clare County, MI

0

47053.

Gibson County, TN

0

40031.

Comanche County, OK

0

17025.

Clay County, IL

0

40149.

Washita County, OK

0

20129.

Morton County, KS

0

8003.

Alamosa County, CO

0

22009.

Avoyelles Parish, LA

0

18085.

Kosciusko County, IN

0

48171.

Gillespie County, TX

0

17183.

Vermilion County, IL

0

34025.

Monmouth County, NJ

0

5133.

Sevier County, AR

0

20181.

Sherman County, KS

0

28073.

Lamar County, MS

0

22123.

West Carroll Parish, LA

0

26037.

Clinton County, MI

0

55055.

Jefferson County, WI

0

36065.

Oneida County, NY

0

39131.

Pike County, OH

0

5113.

Polk County, AR

0

36109.

Tompkins County, NY

0

30089.

Sanders County, MT

0

47039.

Decatur County, TN

0

8079.

Mineral County, CO

0

46005.

Beadle County, SD

0

13199.

Meriwether County, GA

0

5077.

Lee County, AR

0

19155.

Pottawattamie County, IA

0

37057.

Davidson County, NC

0

35043.

Sandoval County, NM

0

31047.

Dawson County, NE

0

16041.

Franklin County, ID

0

8037.

Eagle County, CO

0

29153.

Ozark County, MO

0

50001.

Addison County, VT

0

37129.

New Hanover County, NC

0

35057.

Torrance County, NM

0

48181.

Grayson County, TX

0

37159.

Rowan County, NC

0

19107.

Keokuk County, IA

0

18045.

Fountain County, IN

0

40011.

Blaine County, OK

0

6085.

Santa Clara County, CA

0

48185.

Grimes County, TX

0

17027.

Clinton County, IL

0

23015.

Lincoln County, ME

0

20111.

Lyon County, KS

0

55063.

La Crosse County, WI

0

16043.

Fremont County, ID

0

22107.

Tensas Parish, LA

0

4012.

La Paz County, AZ

0

18077.

Jefferson County, IN

0

39121.

Noble County, OH

0

30087.

Rosebud County, MT

0

37141.

Pender County, NC

0

31121.

Merrick County, NE

0

21115.

Johnson County, KY

0

17109.

McDonough County, IL

0

36113.

Warren County, NY

0

19031.

Cedar County, IA

0

38013.

Burke County, ND

0

17003.

Alexander County, IL

0

19057.

Des Moines County, IA

0

39115.

Morgan County, OH

0

34019.

Hunterdon County, NJ

0

51720.

Norton city, VA

0

19183.

Washington County, IA

0

36075.

Oswego County, NY

0

12013.

Calhoun County, FL

0

42007.

Beaver County, PA

0

1041.

Crenshaw County, AL

0

22033.

East Baton Rouge Parish, LA

0

41039.

Lane County, OR

0

39077.

Huron County, OH

0

19169.

Story County, IA

0

8065.

Lake County, CO

0

31097.

Johnson County, NE

0

19105.

Jones County, IA

0

1091.

Marengo County, AL

0

21201.

Robertson County, KY

0

48305.

Lynn County, TX

0

13045.

Carroll County, GA

0

13001.

Appling County, GA

0

6105.

Trinity County, CA

0

54015.

Clay County, WV

0

42131.

Wyoming County, PA

0

48409.

San Patricio County, TX

0

51027.

Buchanan County, VA

0

47175.

Van Buren County, TN

0

13277.

Tift County, GA

0

13127.

Glynn County, GA

0

13299.

Ware County, GA

0

48213.

Henderson County, TX

0

55037.

Florence County, WI

0

48239.

Jackson County, TX

0

51595.

Emporia city, VA

0

30061.

Mineral County, MT

0

13049.

Charlton County, GA

0

22091.

St. Helena Parish, LA

0

48035.

Bosque County, TX

0

46037.

Day County, SD

0

47065.

Hamilton County, TN

0

18105.

Monroe County, IN

0

37085.

Harnett County, NC

0

54077.

Preston County, WV

0

29185.

St. Clair County, MO

0

54051.

Marshall County, WV

0

38101.

Ward County, ND

0

48139.

Ellis County, TX

0

54049.

Marion County, WV

0

26047.

Emmet County, MI

0

40051.

Grady County, OK

0

12099.

Palm Beach County, FL

0

6019.

Fresno County, CA

0

13067.

Cobb County, GA

0

35009.

Curry County, NM

0

48421.

Sherman County, TX

0

48173.

Glasscock County, TX

0

45089.

Williamsburg County, SC

0

48187.

Guadalupe County, TX

0

29183.

St. Charles County, MO

0

29145.

Newton County, MO

0

21071.

Floyd County, KY

0

18177.

Wayne County, IN

0

55039.

Fond du Lac County, WI

0

19001.

Adair County, IA

0

45055.

Kershaw County, SC

0

18015.

Carroll County, IN

0

48003.

Andrews County, TX

0

38071.

Ramsey County, ND

0

13081.

Crisp County, GA

0

56031.

Platte County, WY

0

30085.

Roosevelt County, MT

0

49029.

Morgan County, UT

0

48307.

McCulloch County, TX

0

19073.

Greene County, IA

0

47059.

Greene County, TN

0

6075.

San Francisco County, CA

0

17169.

Schuyler County, IL

0

17153.

Pulaski County, IL

0

37183.

Wake County, NC

0

28105.

Oktibbeha County, MS

0

39009.

Athens County, OH

0

51169.

Scott County, VA

0

39075.

Holmes County, OH

0

48121.

Denton County, TX

0

19037.

Chickasaw County, IA

0

6015.

Del Norte County, CA

0

51139.

Page County, VA

0

55085.

Oneida County, WI

0

21045.

Casey County, KY

0

39149.

Shelby County, OH

0

22045.

Iberia Parish, LA

0

40047.

Garfield County, OK

0

18173.

Warrick County, IN

0

26029.

Charlevoix County, MI

0

13259.

Stewart County, GA

0

42003.

Allegheny County, PA

0

17007.

Boone County, IL

0

37115.

Madison County, NC

0

13189.

McDuffie County, GA

0

18039.

Elkhart County, IN

0

54039.

Kanawha County, WV

0

51199.

York County, VA

0

27079.

Le Sueur County, MN

0

55127.

Walworth County, WI

0

26005.

Allegan County, MI

0

51177.

Spotsylvania County, VA

0

28031.

Covington County, MS

0

20207.

Woodson County, KS

0

55045.

Green County, WI

0

40041.

Delaware County, OK

0

22013.

Bienville Parish, LA

0

51013.

Arlington County, VA

0

47027.

Clay County, TN

0

13031.

Bulloch County, GA

0

51520.

Bristol city, VA

0

13271.

Telfair County, GA

0

6111.

Ventura County, CA

0

18073.

Jasper County, IN

0

55017.

Chippewa County, WI

0

28161.

Yalobusha County, MS

0

31181.

Webster County, NE

0

16017.

Bonner County, ID

0

8081.

Moffat County, CO

0

5099.

Nevada County, AR

0

26001.

Alcona County, MI

0

25025.

Suffolk County, MA

0

21089.

Greenup County, KY

0

16013.

Blaine County, ID

0

48129.

Donley County, TX

0

48069.

Castro County, TX

0

28091.

Marion County, MS

0

47115.

Marion County, TN

0

18007.

Benton County, IN

0

27109.

Olmsted County, MN

0

47133.

Overton County, TN

0

38015.

Burleigh County, ND

0

36059.

Nassau County, NY

0

48329.

Midland County, TX

0

24047.

Worcester County, MD

0

26049.

Genesee County, MI

0

21015.

Boone County, KY

0

48037.

Bowie County, TX

0

45051.

Horry County, SC

0

38011.

Bowman County, ND

0

13167.

Johnson County, GA

0

19151.

Pocahontas County, IA

0

20027.

Clay County, KS

0

47131.

Obion County, TN

0

12119.

Sumter County, FL

0

17067.

Hancock County, IL

0

46067.

Hutchinson County, SD

0

31159.

Seward County, NE

0

42123.

Warren County, PA

0

13109.

Evans County, GA

0

51191.

Washington County, VA

0

22109.

Terrebonne Parish, LA

0

20081.

Haskell County, KS

0

26113.

Missaukee County, MI

0

48327.

Menard County, TX

0

28141.

Tishomingo County, MS

0

37117.

Martin County, NC

0

22043.

Grant Parish, LA

0

17115.

Macon County, IL

0

18103.

Miami County, IN

0

30057.

Madison County, MT

0

13321.

Worth County, GA

0

18047.

Franklin County, IN

0

45087.

Union County, SC

0

51760.

Richmond city, VA

0

21017.

Bourbon County, KY

0

36095.

Schoharie County, NY

0

51061.

Fauquier County, VA

0

30043.

Jefferson County, MT

0

47019.

Carter County, TN

0

12101.

Pasco County, FL

0

26101.

Manistee County, MI

0

23017.

Oxford County, ME

0

28115.

Pontotoc County, MS

0

41045.

Malheur County, OR

0

19097.

Jackson County, IA

0

22015.

Bossier Parish, LA

0

48041.

Brazos County, TX

0

18147.

Spencer County, IN

0

31071.

Garfield County, NE

0

42097.

Northumberland County, PA

0

51171.

Shenandoah County, VA

0

44009.

Washington County, RI

0

55027.

Dodge County, WI

0

26147.

St. Clair County, MI

0

37133.

Onslow County, NC

0

27023.

Chippewa County, MN

0

37009.

Ashe County, NC

0

17195.

Whiteside County, IL

0

49031.

Piute County, UT

0

50019.

Orleans County, VT

0

13087.

Decatur County, GA

0

42033.

Clearfield County, PA

0

22081.

Red River Parish, LA

0

48309.

McLennan County, TX

0

40003.

Alfalfa County, OK

0

55033.

Dunn County, WI

0

12073.

Leon County, FL

0

13215.

Muscogee County, GA

0

55005.

Barron County, WI

0

48057.

Calhoun County, TX

0

19145.

Page County, IA

0

21209.

Scott County, KY

0

21239.

Woodford County, KY

0

31167.

Stanton County, NE

0

39065.

Hardin County, OH

0

19065.

Fayette County, IA

0

38035.

Grand Forks County, ND

0

21057.

Cumberland County, KY

0

13023.

Bleckley County, GA

0

51800.

Suffolk city, VA

0

25011.

Franklin County, MA

0

39081.

Jefferson County, OH

0

28151.

Washington County, MS

0

17141.

Ogle County, IL

0

40067.

Jefferson County, OK

0

48073.

Cherokee County, TX

0

31035.

Clay County, NE

0

29187.

St. Francois County, MO

0

18121.

Parke County, IN

0

6023.

Humboldt County, CA

0

49047.

Uintah County, UT

0

34005.

Burlington County, NJ

0

51101.

King William County, VA

0

12033.

Escambia County, FL

0

20001.

Allen County, KS

0

48435.

Sutton County, TX

0

38073.

Ransom County, ND

0

48415.

Scurry County, TX

0

27091.

Martin County, MN

0

29199.

Scotland County, MO

0

55141.

Wood County, WI

0

13003.

Atkinson County, GA

0

45041.

Florence County, SC

0

12061.

Indian River County, FL

0

22037.

East Feliciana Parish, LA

0

44007.

Providence County, RI

0

37069.

Franklin County, NC

0

29147.

Nodaway County, MO

0

26019.

Benzie County, MI

0

39079.

Jackson County, OH

0

13317.

Wilkes County, GA

0

19011.

Benton County, IA

0

49033.

Rich County, UT

0

46015.

Brule County, SD

0

48095.

Concho County, TX

0

13005.

Bacon County, GA

0

55009.

Brown County, WI

0

29203.

Shannon County, MO

0

31135.

Perkins County, NE

0

39157.

Tuscarawas County, OH

0

22055.

Lafayette Parish, LA

0

17155.

Putnam County, IL

0

17039.

De Witt County, IL

0

51041.

Chesterfield County, VA

0

28157.

Wilkinson County, MS

0

26133.

Osceola County, MI

0

17177.

Stephenson County, IL

0

39165.

Warren County, OH

0

49027.

Millard County, UT

0

17131.

Mercer County, IL

0

1089.

Madison County, AL

0

48419.

Shelby County, TX

0

20149.

Pottawatomie County, KS

0

21037.

Campbell County, KY

0

41003.

Benton County, OR

0

56033.

Sheridan County, WY

0

13177.

Lee County, GA

0

54035.

Jackson County, WV

0

48159.

Franklin County, TX

0

16087.

Washington County, ID

0

42039.

Crawford County, PA

0

48097.

Cooke County, TX

0

19089.

Howard County, IA

0

26053.

Gogebic County, MI

0

12063.

Jackson County, FL

0

20065.

Graham County, KS

0

45011.

Barnwell County, SC

0

54025.

Greenbrier County, WV

0

47011.

Bradley County, TN

0

29051.

Cole County, MO

0

40013.

Bryan County, OK

0

40099.

Murray County, OK

0

17057.

Fulton County, IL

0

28003.

Alcorn County, MS

0

24041.

Talbot County, MD

0

54047.

McDowell County, WV

0

26123.

Newaygo County, MI

0

33017.

Strafford County, NH

0

21207.

Russell County, KY

0

31131.

Otoe County, NE

0

29135.

Moniteau County, MO

0

27077.

Lake of the Woods County, MN

0

42113.

Sullivan County, PA

0

38027.

Eddy County, ND

0

20099.

Labette County, KS

0

31173.

Thurston County, NE

0

42133.

York County, PA

0

28085.

Lincoln County, MS

0

20021.

Cherokee County, KS

0

55079.

Milwaukee County, WI

0

21029.

Bullitt County, KY

0

39051.

Fulton County, OH

0

29097.

Jasper County, MO

0

21019.

Boyd County, KY

0

48451.

Tom Green County, TX

0

27053.

Hennepin County, MN

0

6087.

Santa Cruz County, CA

0

48151.

Fisher County, TX

0

37017.

Bladen County, NC

0

5039.

Dallas County, AR

0

27017.

Carlton County, MN

0

25009.

Essex County, MA

0

54043.

Lincoln County, WV

0

42055.

Franklin County, PA

0

13315.

Wilcox County, GA

0

54021.

Gilmer County, WV

0

47105.

Loudon County, TN

0

1039.

Covington County, AL

0

48381.

Randall County, TX

0

35047.

San Miguel County, NM

0

53007.

Chelan County, WA

0

49035.

Salt Lake County, UT

0

8017.

Cheyenne County, CO

0

1087.

Macon County, AL

0

8099.

Prowers County, CO

0

16065.

Madison County, ID

0

12029.

Dixie County, FL

0

47043.

Dickson County, TN

0

50015.

Lamoille County, VT

0

48027.

Bell County, TX

0

48029.

Bexar County, TX

0

20013.

Brown County, KS

0

47121.

Meigs County, TN

0

8105.

Rio Grande County, CO

0

21067.

Fayette County, KY

0

53075.

Whitman County, WA

0

27047.

Freeborn County, MN

0

12079.

Madison County, FL

0

45021.

Cherokee County, SC

0

21103.

Henry County, KY

0

42083.

McKean County, PA

0

40005.

Atoka County, OK

0

41041.

Lincoln County, OR

0

27039.

Dodge County, MN

0

1009.

Blount County, AL

0

18037.

Dubois County, IN

0

28135.

Tallahatchie County, MS

0

18023.

Clinton County, IN

0

17059.

Gallatin County, IL

0

40131.

Rogers County, OK

0

6109.

Tuolumne County, CA

0

22119.

Webster Parish, LA

0

55109.

St. Croix County, WI

0

39063.

Hancock County, OH

0

12049.

Hardee County, FL

0

20185.

Stafford County, KS

0

45059.

Laurens County, SC

0

29077.

Greene County, MO

0

13253.

Seminole County, GA

0

39161.

Van Wert County, OH

0

31073.

Gosper County, NE

0

26097.

Mackinac County, MI

0

21097.

Harrison County, KY

0

47179.

Washington County, TN

0

39043.

Erie County, OH

0

31061.

Franklin County, NE

0

29149.

Oregon County, MO

0

6101.

Sutter County, CA

0

27063.

Jackson County, MN

0

25023.

Plymouth County, MA

0

51065.

Fluvanna County, VA

0

44003.

Kent County, RI

0

20155.

Reno County, KS

0

54055.

Mercer County, WV

0

46003.

Aurora County, SD

0

30095.

Stillwater County, MT

0

51087.

Henrico County, VA

0

39091.

Logan County, OH

0

30005.

Blaine County, MT

0

21147.

McCreary County, KY

0

27137.

St. Louis County, MN

0

12105.

Polk County, FL

0

13039.

Camden County, GA

0

48111.

Dallam County, TX

0

19069.

Franklin County, IA

0

31161.

Sheridan County, NE

0

48369.

Parmer County, TX

0

51570.

Colonial Heights city, VA

0

21175.

Morgan County, KY

0

13249.

Schley County, GA

0

13261.

Sumter County, GA

0

54057.

Mineral County, WV

0

33011.

Hillsborough County, NH

0

26075.

Jackson County, MI

0

39047.

Fayette County, OH

0

42091.

Montgomery County, PA

0

40135.

Sequoyah County, OK

0

48365.

Panola County, TX

0

27045.

Fillmore County, MN

0

51047.

Culpeper County, VA

0

39023.

Clark County, OH

0

20163.

Rooks County, KS

0

42029.

Chester County, PA

0

39003.

Allen County, OH

0

38019.

Cavalier County, ND

0

17167.

Sangamon County, IL

0

37055.

Dare County, NC

0

48287.

Lee County, TX

0

46113.

Shannon County, SD

0

17073.

Henry County, IL

0

37075.

Graham County, NC

0

30077.

Powell County, MT

0

39141.

Ross County, OH

0

21069.

Fleming County, KY

0

18003.

Allen County, IN

0

28053.

Humphreys County, MS

0

12133.

Washington County, FL

0

47067.

Hancock County, TN

0

48085.

Collin County, TX

0

51145.

Powhatan County, VA

0

37111.

McDowell County, NC

0

36089.

St. Lawrence County, NY

0

48189.

Hale County, TX

0

46043.

Douglas County, SD

0

48343.

Morris County, TX

0

20147.

Phillips County, KS

0

37029.

Camden County, NC

0

13129.

Gordon County, GA

0

13193.

Macon County, GA

0

39071.

Highland County, OH

0

50009.

Essex County, VT

0

35025.

Lea County, NM

0

18167.

Vigo County, IN

0

13115.

Floyd County, GA

0

32023.

Nye County, NV

0

19033.

Cerro Gordo County, IA

0

26129.

Ogemaw County, MI

0

56017.

Hot Springs County, WY

0

37107.

Lenoir County, NC

0

40077.

Latimer County, OK

0

20103.

Leavenworth County, KS

0

13231.

Pike County, GA

0

39163.

Vinton County, OH

0

12005.

Bay County, FL

0

48337.

Montague County, TX

0

12071.

Lee County, FL

0

5079.

Lincoln County, AR

0

29101.

Johnson County, MO

0

51650.

Hampton city, VA

0

48201.

Harris County, TX

0

20145.

Pawnee County, KS

0

28137.

Tate County, MS

0

21181.

Nicholas County, KY

0

27163.

Washington County, MN

0

13303.

Washington County, GA

0

24005.

Baltimore County, MD

0

22069.

Natchitoches Parish, LA

0

20153.

Rawlins County, KS

0

30041.

Hill County, MT

0

47063.

Hamblen County, TN

0

37145.

Person County, NC

0

26119.

Montmorency County, MI

0

39025.

Clermont County, OH

0

19103.

Johnson County, IA

0

26023.

Branch County, MI

0

54093.

Tucker County, WV

0

26003.

Alger County, MI

0

28001.

Adams County, MS

0

20159.

Rice County, KS

0

18133.

Putnam County, IN

0

50027.

Windsor County, VT

0

20191.

Sumner County, KS

0

31041.

Custer County, NE

0

5055.

Greene County, AR

0

20127.

Morris County, KS

0

1013.

Butler County, AL

0

29123.

Madison County, MO

0

5033.

Crawford County, AR

0

40017.

Canadian County, OK

0

21117.

Kenton County, KY

0

24031.

Montgomery County, MD

0

30021.

Dawson County, MT

0

18113.

Noble County, IN

0

28027.

Coahoma County, MS

0

22007.

Assumption Parish, LA

0

5139.

Union County, AR

0

51680.

Lynchburg city, VA

0

54101.

Webster County, WV

0

31175.

Valley County, NE

0

5137.

Stone County, AR

0

18165.

Vermillion County, IN

0

1083.

Limestone County, AL

0

40133.

Seminole County, OK

0

17123.

Marshall County, IL

0

28099.

Neshoba County, MS

0

23025.

Somerset County, ME

0

13033.

Burke County, GA

0

29195.

Saline County, MO

0

55117.

Sheboygan County, WI

0

31039.

Cuming County, NE

0

16045.

Gem County, ID

0

22021.

Caldwell Parish, LA

0

42015.

Bradford County, PA

0

13219.

Oconee County, GA

0

45033.

Dillon County, SC

0

26063.

Huron County, MI

0

17089.

Kane County, IL

0

36063.

Niagara County, NY

0

48401.

Rusk County, TX

0

40113.

Osage County, OK

0

17021.

Christian County, IL

0

30031.

Gallatin County, MT

0

48505.

Zapata County, TX

0

27101.

Murray County, MN

0

42019.

Butler County, PA

0

53045.

Mason County, WA

0

13093.

Dooly County, GA

0

13111.

Fannin County, GA

0

54009.

Brooke County, WV

0

21165.

Menifee County, KY

0

30063.

Missoula County, MT

0

13095.

Dougherty County, GA

0

55067.

Langlade County, WI

0

48007.

Aransas County, TX

0

27083.

Lyon County, MN

0

23011.

Kennebec County, ME

0

12023.

Columbia County, FL

0

53009.

Clallam County, WA

0

6033.

Lake County, CA

0

27141.

Sherburne County, MN

0

31045.

Dawes County, NE

0

28103.

Noxubee County, MS

0

5149.

Yell County, AR

0

31179.

Wayne County, NE

0

51071.

Giles County, VA

0

31095.

Jefferson County, NE

0

28107.

Panola County, MS

0

19123.

Mahaska County, IA

0

21005.

Anderson County, KY

0

25013.

Hampden County, MA

0

21013.

Bell County, KY

0

4003.

Cochise County, AZ

0

48167.

Galveston County, TX

0

28077.

Lawrence County, MS

0

13281.

Towns County, GA

0

22127.

Winn Parish, LA

0

28095.

Monroe County, MS

0

19191.

Winneshiek County, IA

0

55023.

Crawford County, WI

0

49025.

Kane County, UT

0

51167.

Russell County, VA

0

16023.

Butte County, ID

0

27097.

Morrison County, MN

0

29083.

Henry County, MO

0

54097.

Upshur County, WV

0

5107.

Phillips County, AR

0

27043.

Faribault County, MN

0

28039.

George County, MS

0

17063.

Grundy County, IL

0

40061.

Haskell County, OK

0

53003.

Asotin County, WA

0

25015.

Hampshire County, MA

0

48191.

Hall County, TX

0

47033.

Crockett County, TN

0

18019.

Clark County, IN

0

45077.

Pickens County, SC

0

29115.

Linn County, MO

0

20067.

Grant County, KS

0

12051.

Hendry County, FL

0

29105.

Laclede County, MO

0

13133.

Greene County, GA

0

9001.

Fairfield County, CT

0

37001.

Alamance County, NC

0

13155.

Irwin County, GA

0

26157.

Tuscola County, MI

0

40001.

Adair County, OK

0

55133.

Waukesha County, WI

0

48153.

Floyd County, TX

0

20195.

Trego County, KS

0

37099.

Jackson County, NC

0

47083.

Houston County, TN

0

55099.

Price County, WI

0

1051.

Elmore County, AL

0

48241.

Jasper County, TX

0

36073.

Orleans County, NY

0

20209.

Wyandotte County, KS

0

5129.

Searcy County, AR

0

53071.

Walla Walla County, WA

0

20197.

Wabaunsee County, KS

0

5043.

Drew County, AR

0

37051.

Cumberland County, NC

0

36081.

Queens County, NY

0

6065.

Riverside County, CA

0

54069.

Ohio County, WV

0

37161.

Rutherford County, NC

0

47093.

Knox County, TN

0

27073.

Lac qui Parle County, MN

0

19181.

Warren County, IA

0

48391.

Refugio County, TX

0

8047.

Gilpin County, CO

0

35006.

Cibola County, NM

0

20143.

Ottawa County, KS

0

29043.

Christian County, MO

0

31063.

Frontier County, NE

0

19197.

Wright County, IA

0

30059.

Meagher County, MT

0

5105.

Perry County, AR

0

32003.

Clark County, NV

0

17197.

Will County, IL

0

36037.

Genesee County, NY

0

26153.

Schoolcraft County, MI

0

32021.

Mineral County, NV

0

13075.

Cook County, GA

0

37035.

Catawba County, NC

0

26127.

Oceana County, MI

0

26145.

Saginaw County, MI

0

18089.

Lake County, IN

0

12131.

Walton County, FL

0

51770.

Roanoke city, VA

0

21133.

Letcher County, KY

0

41017.

Deschutes County, OR

0

13159.

Jasper County, GA

0

6077.

San Joaquin County, CA

0

48473.

Waller County, TX

0

51161.

Roanoke County, VA

0

13097.

Douglas County, GA

0

13011.

Banks County, GA

0

48367.

Parker County, TX

0

20043.

Doniphan County, KS

0

22075.

Plaquemines Parish, LA

0

30007.

Broadwater County, MT

0

37059.

Davie County, NC

0

19085.

Harrison County, IA

0

37187.

Washington County, NC

0

35041.

Roosevelt County, NM

0

13269.

Taylor County, GA

0

41053.

Polk County, OR

0

29045.

Clark County, MO

0

51710.

Norfolk city, VA

0

27013.

Blue Earth County, MN

0

22079.

Rapides Parish, LA

0

37047.

Columbus County, NC

0

12059.

Holmes County, FL

0

39125.

Paulding County, OH

0

13181.

Lincoln County, GA

0

8075.

Logan County, CO

0

36043.

Herkimer County, NY

0

19023.

Butler County, IA

0

38053.

McKenzie County, ND

0

36085.

Richmond County, NY

0

17077.

Jackson County, IL

0

37199.

Yancey County, NC

0

1067.

Henry County, AL

0

17191.

Wayne County, IL

0

37147.

Pitt County, NC

0

32033.

White Pine County, NV

0

17065.

Hamilton County, IL

0

49041.

Sevier County, UT

0

18151.

Steuben County, IN

0

26087.

Lapeer County, MI

0

42027.

Centre County, PA

0

13195.

Madison County, GA

0

18093.

Lawrence County, IN

0

40137.

Stephens County, OK

0

42017.

Bucks County, PA

0

48417.

Shackelford County, TX

0

45067.

Marion County, SC

0

47089.

Jefferson County, TN

0

36117.

Wayne County, NY

0

12021.

Collier County, FL

0

19049.

Dallas County, IA

0

38043.

Kidder County, ND

0

20193.

Thomas County, KS

0

47167.

Tipton County, TN

0

54075.

Pocahontas County, WV

0

40021.

Cherokee County, OK

0

40125.

Pottawatomie County, OK

0

31037.

Colfax County, NE

0

28101.

Newton County, MS

0

5087.

Madison County, AR

0

17133.

Monroe County, IL

0

5029.

Conway County, AR

0

48123.

DeWitt County, TX

0

41065.

Wasco County, OR

0

21085.

Grayson County, KY

0

29029.

Camden County, MO

0

48299.

Llano County, TX

0

21121.

Knox County, KY

0

19019.

Buchanan County, IA

0

17085.

Jo Daviess County, IL

0

30097.

Sweet Grass County, MT

0

19027.

Carroll County, IA

0

38037.

Grant County, ND

0

6073.

San Diego County, CA

0

48335.

Mitchell County, TX

0

34017.

Hudson County, NJ

0

29111.

Lewis County, MO

0

27033.

Cottonwood County, MN

0

55053.

Jackson County, WI

0

56021.

Laramie County, WY

0

19113.

Linn County, IA

0

40081.

Lincoln County, OK

0

56037.

Sweetwater County, WY

0

1037.

Coosa County, AL

0

46059.

Hand County, SD

0

48245.

Jefferson County, TX

0

41019.

Douglas County, OR

0

30049.

Lewis and Clark County, MT

0

29225.

Webster County, MO

0

48077.

Clay County, TX

0

22061.

Lincoln Parish, LA

0

20031.

Coffey County, KS

0

45017.

Calhoun County, SC

0

54085.

Ritchie County, WV

0

21053.

Clinton County, KY

0

13117.

Forsyth County, GA

0

47081.

Hickman County, TN

0

49051.

Wasatch County, UT

0

39019.

Carroll County, OH

0

51125.

Nelson County, VA

0

51590.

Danville city, VA

0

48481.

Wharton County, TX

0

45045.

Greenville County, SC

0

28061.

Jasper County, MS

0

55129.

Washburn County, WI

0

13035.

Butts County, GA

0

20117.

Marshall County, KS

0

46083.

Lincoln County, SD

0

36053.

Madison County, NY

0

21219.

Todd County, KY

0

17069.

Hardin County, IL

0

16015.

Boise County, ID

0

55061.

Kewaunee County, WI

0

1117.

Shelby County, AL

0

27021.

Cass County, MN

0

21235.

Whitley County, KY

0

29215.

Texas County, MO

0

28093.

Marshall County, MS

0

24001.

Allegany County, MD

0

49055.

Wayne County, UT

0

16035.

Clearwater County, ID

0

22001.

Acadia Parish, LA

0

42127.

Wayne County, PA

0

48319.

Mason County, TX

0

17097.

Lake County, IL

0

19101.

Jefferson County, IA

0

21229.

Washington County, KY

0

53029.

Island County, WA

0

48475.

Ward County, TX

0

20177.

Shawnee County, KS

0

20051.

Ellis County, KS

0

39031.

Coshocton County, OH

0

47189.

Wilson County, TN

0

26095.

Luce County, MI

0

48471.

Walker County, TX

0

16049.

Idaho County, ID

0

29175.

Randolph County, MO

0

48015.

Austin County, TX

0

32510.

Carson City, NV

0

5007.

Benton County, AR

0

53027.

Grays Harbor County, WA

0

19179.

Wapello County, IA

0

28023.

Clarke County, MS

0

17185.

Wabash County, IL

0

12089.

Nassau County, FL

0

29217.

Vernon County, MO

0

26161.

Washtenaw County, MI

0

12041.

Gilchrist County, FL

0

47107.

McMinn County, TN

0

48493.

Wilson County, TX

0

49017.

Garfield County, UT

0

28083.

Leflore County, MS

0

49019.

Grand County, UT

0

12019.

Clay County, FL

0

48099.

Coryell County, TX

0

28005.

Amite County, MS

0

5037.

Cross County, AR

0

31055.

Douglas County, NE

0

19149.

Plymouth County, IA

0

48065.

Carson County, TX

0

38001.

Adams County, ND

0

13019.

Berrien County, GA

0

47119.

Maury County, TN

0

45037.

Edgefield County, SC

0

46031.

Corson County, SD

0

48053.

Burnet County, TX

0

35019.

Guadalupe County, NM

0

5069.

Jefferson County, AR

0

39153.

Summit County, OH

0

1101.

Montgomery County, AL

0

39049.

Franklin County, OH

0

8077.

Mesa County, CO

0

55049.

Iowa County, WI

0

1079.

Lawrence County, AL

0

38077.

Richland County, ND

0

13207.

Monroe County, GA

0

13079.

Crawford County, GA

0

48313.

Madison County, TX

0

18107.

Montgomery County, IN

0

20135.

Ness County, KS

0

45035.

Dorchester County, SC

0

18157.

Tippecanoe County, IN

0

28111.

Perry County, MS

0

4025.

Yavapai County, AZ

0

21179.

Nelson County, KY

0

28133.

Sunflower County, MS

0

20095.

Kingman County, KS

0

37139.

Pasquotank County, NC

0

49037.

San Juan County, UT

0

51810.

Virginia Beach city, VA

0

36047.

Kings County, NY

0

21073.

Franklin County, KY

0

37189.

Watauga County, NC

0

22083.

Richland Parish, LA

0

29099.

Jefferson County, MO

0

56039.

Teton County, WY

0

37181.

Vance County, NC

0

26031.

Cheboygan County, MI

0

20079.

Harvey County, KS

0

40145.

Wagoner County, OK

0

28069.

Kemper County, MS

0

20115.

Marion County, KS

0

18149.

Starke County, IN

0

21213.

Simpson County, KY

0

31109.

Lancaster County, NE

0

41043.

Linn County, OR

0

26105.

Mason County, MI

0

20165.

Rush County, KS

0

48013.

Atascosa County, TX

0

21003.

Allen County, KY

0

51540.

Charlottesville city, VA

0

51035.

Carroll County, VA

0

6007.

Butte County, CA

0

23005.

Cumberland County, ME

0

6003.

Alpine County, CA

0

13175.

Laurens County, GA

0

48081.

Coke County, TX

0

29510.

St. Louis city, MO

0

13251.

Screven County, GA

0

47103.

Lincoln County, TN

0

19025.

Calhoun County, IA

0

20161.

Riley County, KS

0

37151.

Randolph County, NC

0

37105.

Lee County, NC

0

5091.

Miller County, AR

0

35031.

McKinley County, NM

0

42037.

Columbia County, PA

0

53073.

Whatcom County, WA

0

48453.

Travis County, TX

0

16047.

Gooding County, ID

0

37135.

Orange County, NC

0

8009.

Baca County, CO

0

21095.

Harlan County, KY

0

39083.

Knox County, OH

0

29055.

Crawford County, MO

0

48291.

Liberty County, TX

0

42089.

Monroe County, PA

0

27025.

Chisago County, MN

0

53023.

Garfield County, WA

0

13091.

Dodge County, GA

0

48359.

Oldham County, TX

0

51001.

Accomack County, VA

0

1001.

Autauga County, AL

0

29107.

Lafayette County, MO

0

34023.

Middlesex County, NJ

0

47051.

Franklin County, TN

0

5125.

Saline County, AR

0

28041.

Greene County, MS

0

48383.

Reagan County, TX

0

49039.

Sanpete County, UT

0

22101.

St. Mary Parish, LA

0

29021.

Buchanan County, MO

0

19015.

Boone County, IA

0

27111.

Otter Tail County, MN

0

49015.

Emery County, UT

0

19173.

Taylor County, IA

0

5021.

Clay County, AR

0

39005.

Ashland County, OH

0

54083.

Randolph County, WV

0

16063.

Lincoln County, ID

0

34037.

Sussex County, NJ

0

48491.

Williamson County, TX

0

26007.

Alpena County, MI

0

19195.

Worth County, IA

0

21221.

Trigg County, KY

0

26071.

Iron County, MI

0

53049.

Pacific County, WA

0

51750.

Radford city, VA

0

13043.

Candler County, GA

0

20069.

Gray County, KS

0

53051.

Pend Oreille County, WA

0

16027.

Canyon County, ID

0

12067.

Lafayette County, FL

0

27127.

Redwood County, MN

0

20055.

Finney County, KS

0

12093.

Okeechobee County, FL

0

13267.

Tattnall County, GA

0

40037.

Creek County, OK

0

29161.

Phelps County, MO

0

10001.

Kent County, DE

0

46095.

Mellette County, SD

0

47155.

Sevier County, TN

0

47009.

Blount County, TN

0

51193.

Westmoreland County, VA

0

46061.

Hanson County, SD

0

16053.

Jerome County, ID

0

50017.

Orange County, VT

0

8035.

Douglas County, CO

0

5075.

Lawrence County, AR

0

51690.

Martinsville city, VA

0

26135.

Oscoda County, MI

0

9015.

Windham County, CT

0

48143.

Erath County, TX

0

29205.

Shelby County, MO

0

12095.

Orange County, FL

0

4017.

Navajo County, AZ

0

26045.

Eaton County, MI

0

20175.

Seward County, KS

0

37045.

Cleveland County, NC

0

48405.

San Augustine County, TX

0

51105.

Lee County, VA

0

45085.

Sumter County, SC

0

49043.

Summit County, UT

0

38093.

Stutsman County, ND

0

35051.

Sierra County, NM

0

56015.

Goshen County, WY

0

6099.

Stanislaus County, CA

0

27121.

Pope County, MN

0

35035.

Otero County, NM

0

48375.

Potter County, TX

0

16067.

Minidoka County, ID

0

18083.

Knox County, IN

0

40105.

Nowata County, OK

0

55111.

Sauk County, WI

0

1021.

Chilton County, AL

0

1007.

Bibb County, AL

0

20139.

Osage County, KS

0

13083.

Dade County, GA

0

47095.

Lake County, TN

0

5065.

Izard County, AR

0

48131.

Duval County, TX

0

1059.

Franklin County, AL

0

21141.

Logan County, KY

0

54027.

Hampshire County, WV

0

5049.

Fulton County, AR

0

37011.

Avery County, NC

0

55051.

Iron County, WI

0

45047.

Greenwood County, SC

0

30003.

Big Horn County, MT

0

37053.

Currituck County, NC

0

6051.

Mono County, CA

0

54007.

Braxton County, WV

0

27143.

Sibley County, MN

0

6067.

Sacramento County, CA

0

27007.

Beltrami County, MN

0

26103.

Marquette County, MI

0

26017.

Bay County, MI

0

18169.

Wabash County, IN

0

53021.

Franklin County, WA

0

40045.

Ellis County, OK

0

41061.

Union County, OR

0

6103.

Tehama County, CA

0

17013.

Calhoun County, IL

0

5093.

Mississippi County, AR

0

55011.

Buffalo County, WI

0

38063.

Nelson County, ND

0

47149.

Rutherford County, TN

0

17179.

Tazewell County, IL

0

22085.

Sabine Parish, LA

0

38017.

Cass County, ND

0

42057.

Fulton County, PA

0

13275.

Thomas County, GA

0

48071.

Chambers County, TX

0

17001.

Adams County, IL

0

29065.

Dent County, MO

0

22099.

St. Martin Parish, LA

0

34035.

Somerset County, NJ

0

13137.

Habersham County, GA

0

51640.

Galax city, VA

0

17033.

Crawford County, IL

0

27171.

Wright County, MN

0

19063.

Emmet County, IA

0

26043.

Dickinson County, MI

0

13283.

Treutlen County, GA

0

12055.

Highlands County, FL

0

26033.

Chippewa County, MI

0

56035.

Sublette County, WY

0

19133.

Monona County, IA

0

31027.

Cedar County, NE

0

37153.

Richmond County, NC

0

25007.

Dukes County, MA

0

5147.

Woodruff County, AR

0

5121.

Randolph County, AR

0

19077.

Guthrie County, IA

0

47049.

Fentress County, TN

0

32017.

Lincoln County, NV

0

21159.

Martin County, KY

0

55059.

Kenosha County, WI

0

5073.

Lafayette County, AR

0

48141.

El Paso County, TX

0

36045.

Jefferson County, NY

0

13099.

Early County, GA

0

28155.

Webster County, MS

0

1069.

Houston County, AL

0

21131.

Leslie County, KY

0

39119.

Muskingum County, OH

0

40027.

Cleveland County, OK

0

55075.

Marinette County, WI

0

18001.

Adams County, IN

0

51059.

Fairfax County, VA

0

46137.

Ziebach County, SD

0

31065.

Furnas County, NE

0

29121.

Macon County, MO

0

36003.

Allegany County, NY

0

48179.

Gray County, TX

0

20189.

Stevens County, KS

0

36061.

New York County, NY

0

45027.

Clarendon County, SC

0

19093.

Ida County, IA

0

49013.

Duchesne County, UT

0

20053.

Ellsworth County, KS

0

19091.

Humboldt County, IA

0

39127.

Perry County, OH

0

28051.

Holmes County, MS

0

55105.

Rock County, WI

0

17201.

Winnebago County, IL

0

20003.

Anderson County, KS

0

8095.

Phillips County, CO

0

51740.

Portsmouth city, VA

0

5127.

Scott County, AR

0

38041.

Hettinger County, ND

0

47047.

Fayette County, TN

0

22087.

St. Bernard Parish, LA

0

5063.

Independence County, AR

0

19083.

Hardin County, IA

0

20123.

Mitchell County, KS

0

29089.

Howard County, MO

0

18125.

Pike County, IN

0

17061.

Greene County, IL

0

26091.

Lenawee County, MI

0

48087.

Collingsworth County, TX

0

48195.

Hansford County, TX

0

42021.

Cambria County, PA

0

39093.

Lorain County, OH

0

47147.

Robertson County, TN

0

47141.

Putnam County, TN

0

48137.

Edwards County, TX

0

21195.

Pike County, KY

0

1053.

Escambia County, AL

0

42063.

Indiana County, PA

0

37027.

Caldwell County, NC

0

53037.

Kittitas County, WA

0

19053.

Decatur County, IA

0

16083.

Twin Falls County, ID

0

37175.

Transylvania County, NC

0

31147.

Richardson County, NE

0

19041.

Clay County, IA

0

53015.

Cowlitz County, WA

0

48387.

Red River County, TX

0

42119.

Union County, PA

0

1043.

Cullman County, AL

0

28059.

Jackson County, MS

0

45061.

Lee County, SC

0

23031.

York County, ME

0

39069.

Henry County, OH

0

39107.

Mercer County, OH

0

18065.

Henry County, IN

0

39109.

Miami County, OH

0

30105.

Valley County, MT

0

31133.

Pawnee County, NE

0

55057.

Juneau County, WI

0

29159.

Pettis County, MO

0

21145.

McCracken County, KY

0

46069.

Hyde County, SD

0

12123.

Taylor County, FL

0

48055.

Caldwell County, TX

0

13069.

Coffee County, GA

0

40057.

Harmon County, OK

0

27157.

Wabasha County, MN

0

21225.

Union County, KY

0

26149.

St. Joseph County, MI

0

36091.

Saratoga County, NY

0

18029.

Dearborn County, IN

0

19189.

Winnebago County, IA

0

18027.

Daviess County, IN

0

17035.

Cumberland County, IL

0

13247.

Rockdale County, GA

0

18031.

Decatur County, IN

0

45023.

Chester County, SC

0

38051.

McIntosh County, ND

0

29003.

Andrew County, MO

0

6083.

Santa Barbara County, CA

0

16001.

Ada County, ID

0

18145.

Shelby County, IN

0

35039.

Rio Arriba County, NM

0

36067.

Onondaga County, NY

0

48499.

Wood County, TX

0

51043.

Clarke County, VA

0

51165.

Rockingham County, VA

0

46109.

Roberts County, SD

0

30015.

Chouteau County, MT

0

48385.

Real County, TX

0

26151.

Sanilac County, MI

0

29155.

Pemiscot County, MO

0

6079.

San Luis Obispo County, CA

0

20097.

Kiowa County, KS

0

1005.

Barbour County, AL

0

21233.

Webster County, KY

0

51159.

Richmond County, VA

0

48203.

Harrison County, TX

0

36077.

Otsego County, NY

0

26131.

Ontonagon County, MI

0

45013.

Beaufort County, SC

0

55013.

Burnett County, WI

0

48247.

Jim Hogg County, TX

0

29087.

Holt County, MO

0

18075.

Jay County, IN

0

6001.

Alameda County, CA

0

19013.

Black Hawk County, IA

0

47035.

Cumberland County, TN

0

23029.

Washington County, ME

0

17125.

Mason County, IL

0

13015.

Bartow County, GA

0

42107.

Schuylkill County, PA

0

20011.

Bourbon County, KS

0

21083.

Graves County, KY

0

48011.

Armstrong County, TX

0

47097.

Lauderdale County, TN

0

54031.

Hardy County, WV

0

48449.

Titus County, TX

0

21061.

Edmonson County, KY

0

39001.

Adams County, OH

0

51113.

Madison County, VA

0

48183.

Gregg County, TX

0

13047.

Catoosa County, GA

0

30099.

Teton County, MT

0

36093.

Schenectady County, NY

0

49011.

Davis County, UT

0

49005.

Cache County, UT

0

40107.

Okfuskee County, OK

0

19045.

Clinton County, IA

0

1025.

Clarke County, AL

0

21231.

Wayne County, KY

0

40117.

Pawnee County, OK

0

46097.

Miner County, SD

0

1099.

Monroe County, AL

0

37131.

Northampton County, NC

0

37061.

Duplin County, NC

0

36019.

Clinton County, NY

0

33001.

Belknap County, NH

0

55123.

Vernon County, WI

0

21139.

Livingston County, KY

0

51019.

Bedford County, VA

0

27069.

Kittson County, MN

0

29131.

Miller County, MO

0

28057.

Itawamba County, MS

0

51141.

Patrick County, VA

0

47085.

Humphreys County, TN

0

6059.

Orange County, CA

0

26121.

Muskegon County, MI

0

47091.

Johnson County, TN

0

33015.

Rockingham County, NH

0

6045.

Mendocino County, CA

0

6061.

Placer County, CA

0

39033.

Crawford County, OH

0

20041.

Dickinson County, KS

0

18131.

Pulaski County, IN

0

13179.

Liberty County, GA

0

4021.

Pinal County, AZ

0

28079.

Leake County, MS

0

51131.

Northampton County, VA

0

27029.

Clearwater County, MN

0

40019.

Carter County, OK

0

51510.

Alexandria city, VA

0

20039.

Decatur County, KS

0

8005.

Arapahoe County, CO

0

1027.

Clay County, AL

0

18063.

Hendricks County, IN

0

19109.

Kossuth County, IA

0

40079.

Le Flore County, OK

0

56029.

Park County, WY

0

40087.

McClain County, OK

0

46047.

Fall River County, SD

0

30035.

Glacier County, MT

0

39085.

Lake County, OH

0

51117.

Mecklenburg County, VA

0

47135.

Perry County, TN

0

8011.

Bent County, CO

0

41035.

Klamath County, OR

0

37193.

Wilkes County, NC

0

23009.

Hancock County, ME

0

37083.

Halifax County, NC

0

13153.

Houston County, GA

0

49049.

Utah County, UT

0

47171.

Unicoi County, TN

0

40015.

Caddo County, OK

0

22011.

Beauregard Parish, LA

0

53033.

King County, WA

0

51089.

Henry County, VA

0

27159.

Wadena County, MN

0

39173.

Wood County, OH

0

45015.

Berkeley County, SC

0

17095.

Knox County, IL

0

51107.

Loudoun County, VA

0

5011.

Bradley County, AR

0

26111.

Midland County, MI

0

51109.

Louisa County, VA

0

40065.

Jackson County, OK

0

23027.

Waldo County, ME

0

30067.

Park County, MT

0

5117.

Prairie County, AR

0

47007.

Bledsoe County, TN

0

47055.

Giles County, TN

0

55093.

Pierce County, WI

0

39061.

Hamilton County, OH

0

27151.

Swift County, MN

0

5045.

Faulkner County, AR

0

45049.

Hampton County, SC

0

49045.

Tooele County, UT

0

37109.

Lincoln County, NC

0

48107.

Crosby County, TX

0

35029.

Luna County, NM

0

18005.

Bartholomew County, IN

0

1015.

Calhoun County, AL

0

54091.

Taylor County, WV

0

37097.

Iredell County, NC

0

30017.

Custer County, MT

0

1023.

Choctaw County, AL

0

28121.

Rankin County, MS

0

19121.

Madison County, IA

0

13065.

Clinch County, GA

0

53053.

Pierce County, WA

0

42001.

Adams County, PA

0

47129.

Morgan County, TN

0

29039.

Cedar County, MO

0

27145.

Stearns County, MN

0

18171.

Warren County, IN

0

8087.

Morgan County, CO

0

54023.

Grant County, WV

0

40075.

Kiowa County, OK

0

48463.

Uvalde County, TX

0

21023.

Bracken County, KY

0

48253.

Jones County, TX

0

13163.

Jefferson County, GA

0

35028.

Los Alamos County, NM

0

8069.

Larimer County, CO

0

51031.

Campbell County, VA

0

45057.

Lancaster County, SC

0

41071.

Yamhill County, OR

0

40043.

Dewey County, OK

0

48043.

Brewster County, TX

0

13225.

Peach County, GA

0

21007.

Ballard County, KY

0

47045.

Dyer County, TN

0

31067.

Gage County, NE

0

47165.

Sumner County, TN

0

26041.

Delta County, MI

0

1111.

Randolph County, AL

0

19061.

Dubuque County, IA

0

8089.

Otero County, CO

0

5081.

Little River County, AR

0

51005.

Alleghany County, VA

0

28117.

Prentiss County, MS

0

20059.

Franklin County, KS

0

18123.

Perry County, IN

0

39139.

Richland County, OH

0

6055.

Napa County, CA

0

17043.

DuPage County, IL

0

48439.

Tarrant County, TX

0

24015.

Cecil County, MD

0

6107.

Tulare County, CA

0

53067.

Thurston County, WA

0

10003.

New Castle County, DE

0

30055.

McCone County, MT

0

29063.

DeKalb County, MO

0

31137.

Phelps County, NE

0

5019.

Clark County, AR

0

16051.

Jefferson County, ID

0

28129.

Smith County, MS

0

36083.

Rensselaer County, NY

0

12097.

Osceola County, FL

0

20045.

Douglas County, KS

0

47073.

Hawkins County, TN

0

13057.

Cherokee County, GA

0

54029.

Hancock County, WV

0

51630.

Fredericksburg city, VA

0

37033.

Caswell County, NC

0

8117.

Summit County, CO

0

30013.

Cascade County, MT

0

26055.

Grand Traverse County, MI

0

48457.

Tyler County, TX

0

36041.

Hamilton County, NY

0

29163.

Pike County, MO

0

38065.

Oliver County, ND

0

21035.

Calloway County, KY

0

12091.

Okaloosa County, FL

0

36121.

Wyoming County, NY

0

22049.

Jackson Parish, LA

0

18061.

Harrison County, IN

0

20089.

Jewell County, KS

0

48279.

Lamb County, TX

0

20107.

Linn County, KS

0

22121.

West Baton Rouge Parish, LA

0

9007.

Middlesex County, CT

0

40121.

Pittsburg County, OK

0

41033.

Josephine County, OR

0

46025.

Clark County, SD

0

17181.

Union County, IL

0

48223.

Hopkins County, TX

0

30039.

Granite County, MT

0

25017.

Middlesex County, MA

0

19129.

Mills County, IA

0

27089.

Marshall County, MN

0

18025.

Crawford County, IN

0

48477.

Washington County, TX

0

51155.

Pulaski County, VA

0

29165.

Platte County, MO

0

4007.

Gila County, AZ

0

17041.

Douglas County, IL

0

42075.

Lebanon County, PA

0

37063.

Durham County, NC

0

33007.

Coos County, NH

0

35053.

Socorro County, NM

0

19035.

Cherokee County, IA

0

27165.

Watonwan County, MN

0

28163.

Yazoo County, MS

0

48211.

Hemphill County, TX

0

42069.

Lackawanna County, PA

0

20083.

Hodgeman County, KS

0

26165.

Wexford County, MI

0

28081.

Lee County, MS

0

30107.

Wheatland County, MT

0

55065.

Lafayette County, WI

0

34007.

Camden County, NJ

0

30081.

Ravalli County, MT

0

47037.

Davidson County, TN

0

1129.

Washington County, AL

0

40119.

Payne County, OK

0

6037.

Los Angeles County, CA

0

51015.

Augusta County, VA

0

51095.

James City County, VA

0

19071.

Fremont County, IA

0

37121.

Mitchell County, NC

0

51007.

Amelia County, VA

0

1017.

Chambers County, AL

0

24009.

Calvert County, MD

0

41059.

Umatilla County, OR

0

12069.

Lake County, FL

0

1057.

Fayette County, AL

0

26057.

Gratiot County, MI

0

26027.

Cass County, MI

0

28013.

Calhoun County, MS

0

20077.

Harper County, KS

0

29015.

Benton County, MO

0

48357.

Ochiltree County, TX

0

42025.

Carbon County, PA

0

48225.

Houston County, TX

0

16007.

Bear Lake County, ID

0

48423.

Smith County, TX

0

41037.

Lake County, OR

0

51197.

Wythe County, VA

0

53069.

Wahkiakum County, WA

0

29001.

Adair County, MO

0

26085.

Lake County, MI

0

32013.

Humboldt County, NV

0

5023.

Cleburne County, AR

0

39073.

Hocking County, OH

0

30001.

Beaverhead County, MT

0

41029.

Jackson County, OR

0

31081.

Hamilton County, NE

0

30009.

Carbon County, MT

0

18059.

Hancock County, IN

0

18081.

Johnson County, IN

0

26051.

Gladwin County, MI

0

36033.

Franklin County, NY

0

17135.

Montgomery County, IL

0

50023.

Washington County, VT

0

37173.

Swain County, NC

0

39103.

Medina County, OH

0

5015.

Carroll County, AR

0

6039.

Madera County, CA

0

29095.

Jackson County, MO

0

45019.

Charleston County, SC

0

36021.

Columbia County, NY

0

48469.

Victoria County, TX

0

36051.

Livingston County, NY

0

39145.

Scioto County, OH

0

13187.

Lumpkin County, GA

0

21197.

Powell County, KY

0

38069.

Pierce County, ND

0

Variable Format: numeric

Notes: UNF:5:Tf60plD9nO7NZg7UE8BEyA==

Zip Code (Estimated From Phone)

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:d4IsMDoBB6OjtzIXwgD4ig==

Zip Code (Reported by Respondent)

f2529475 Location:

Value

Label

Frequency

Text

99999.

Refused

0

99998.

Don’t know

0

Variable Format: numeric

Notes: UNF:5:hhd47mk/wpVasI1jt7PpHQ==

Urbanity

f2529475 Location:

Value

Label

Frequency

Text

3.

Rural

599

1.

Urban

814

2.

Suburban

1337

Variable Format: numeric

Notes: UNF:5:tIsntM1p2TOpX75qACF89Q==

Media Market

f2529475 Location:

Value

Label

Frequency

Text

643.

Lake Charles (LA)

3

757.

Boise (ID, OR)

1

505.

Detroit (MI)

34

574.

Johnstown–Altoona (PA)

9

539.

Tampa–St. Petersburg–Sarasota (FL)

38

545.

Greenville–New Bern–Washington (NC)

2

611.

Rochester–Mason City–Austin (IA, MN)

5

658.

Green Bay–Appleton (MI, WI)

13

749.

Laredo (TX)

3

506.

Boston (MA, NH, VT)

68

709.

Tyler–Longview (TX)

5

549.

Watertown (NY)

2

811.

Reno (CA, NV)

10

632.

Paducah–Cape Girardeau–Harrisburg (IL, KY, MO, TN)

5

671.

Tulsa (KS, OK)

14

542.

Dayton (IN, OH)

16

540.

Traverse City–Cadillac (MI)

16

648.

Champaign–Springfield–Decatur (IL)

9

819.

Seattle–Tacoma (WA)

47

512.

Baltimore (MD)

15

625.

Waco–Temple–Bryan (TX)

11

559.

Bluefield–Beckley–Oak Hill (VA, WV)

4

661.

San Angelo (TX)

3

617.

Milwaukee (WI)

26

558.

Lima (OH)

1

602.

Chicago (IL, IN)

70

634.

Amarillo (NM, OK, TX)

6

790.

Albuquerque–Santa Fe (AZ, CO, NM)

10

676.

Duluth–Superior (MI, MN, WI)

9

640.

Memphis (AR, MS, TN)

15

563.

Grand Rapids–Kalamazoo–Battle Creek (MI)

23

618.

Houston (TX)

46

649.

Evansville (IL, IN, KY)

13

881.

Spokane (ID, MT, OR, WA)

15

828.

Monterey–Salinas (CA)

2

532.

Albany–Schenectady–Troy (MA, NY, VT)

20

548.

West Palm Beach–Fort Pierce (FL)

25

554.

Wheeling–Steubenville (OH, WV)

3

759.

Cheyenne–Scottsbluff (NE, WY)

1

626.

Victoria (TX)

0

813.

Medford–Klamath Falls (CA, OR)

6

596.

Zanesville (OH)

0

657.

Sherman–Ada (OK, TX)

4

734.

Jonesboro (AR, MO)

3

551.

Lansing (MI)

4

635.

Austin (TX)

13

504.

Philadelphia (DE, NJ, PA)

71

627.

Wichita Falls–Lawton (OK, TX)

3

565.

Elmira (NY, PA)

2

528.

Miami–Fort Lauderdale (FL)

24

503.

Macon (GA)

2

536.

Youngstown (OH, PA)

9

722.

Lincoln–Hastings–Kearney Plus (KS, NE)

14

550.

Wilmington (NC)

5

746.

Biloxi–Gulfport (MS)

2

609.

St. Louis (IL, MO)

39

765.

El Paso (NM, TX)

9

670.

Fort Smith–Fay–Springdale (AR, OK)

3

693.

Little Rock–Pine Bluff (AR)

18

756.

Billings (MT, WY)

2

724.

Fargo–Valley City (MN, ND)

4

576.

Salisbury (DE, MD)

5

588.

South Bend–Elkhart (IN, MI)

3

630.

Birmingham (AL)

19

737.

Mankato (MN)

3

600.

Corpus Christi (TX)

2

810.

Yakima–Pasco–Richland–Kennewick (OR, WA)

14

771.

Yuma–El Centro (AZ, CA)

2

679.

Des Moines–Ames (IA)

6

868.

Chico–Redding (CA)

4

521.

Providence–New Bedford (MA, RI)

13

650.

Oklahoma City (OK)

12

564.

Charleston–Huntington (KY, OH, WV)

21

511.

Washington (DC, MD, PA, VA, WV)

50

527.

Indianapolis (IN)

36

673.

Columbus–Tupelo–West Point (AL, MS)

9

537.

Bangor (ME)

8

509.

Fort Wayne (IN, OH)

5

698.

Montgomery (AL)

2

687.

Minot–Bismarck–Dickinson (MT, ND, SD)

4

555.

Syracuse (NY)

14

705.

Wausau–Rhinelander (WI)

7

597.

Parkersburg (OH, WV)

2

530.

Tallahassee–Thomasville (FL, GA)

9

606.

Dothan (AL, GA)

6

633.

Odessa–Midland (TX)

5

560.

Raleigh–Durham (NC, VA)

22

740.

North Platte (NE)

1

692.

Beaumont–Port Arthur (TX)

8

583.

Alpena (MI)

0

547.

Toledo (MI, OH)

10

825.

San Diego (CA)

16

535.

Columbus (OH)

30

669.

Madison (WI)

9

638.

St. Joseph (KS, MO)

1

652.

Omaha (IA, MO, NE)

11

639.

Jackson (TN)

3

686.

Mobile–Pensacola (AL, FL, MS)

14

553.

Marquette (MI, WI)

6

556.

Richmond–Petersburg (VA)

15

544.

Norfolk–Portsmouth–Newport News (NC, VA)

14

524.

Atlanta (AL, GA, NC)

34

543.

Springfield–Holyoke (MA)

0

807.

San Francisco–Oakland–San Jose (CA)

66

773.

Grand Junction–Montrose (CO)

1

821.

Bend (OR)

3

766.

Helena (MT)

1

525.

Albany (GA)

1

516.

Erie (PA)

5

839.

Las Vegas (NV)

14

577.

Wilkes Barre–Scranton (PA)

37

751.

Denver (CO, NE, WY)

33

758.

Idaho Falls–Pocatello (ID, WY)

5

642.

Lafayette (LA)

6

631.

Ottumwa–Kirksville (IA, MO)

0

754.

Butte–Bozeman (MT)

2

523.

Burlington–Plattsburgh (NH, NY, VT)

19

592.

Gainesville (FL)

0

662.

Abilene–Sweetwater (TX)

2

616.

Kansas City (KS, MO)

23

753.

Phoenix (AZ)

47

762.

Missoula (MT)

2

682.

Davenport–Rock Island–Moline (IA, IL)

10

820.

Portland (OR, WA)

26

575.

Chattanooga (GA, NC, TN)

6

866.

Fresno–Visalia (CA)

8

605.

Topeka (KS)

9

803.

Los Angeles (CA)

127

612.

Shreveport (AR, LA, OK, TX)

5

800.

Bakersfield (CA)

13

582.

Lafayette (IN)

3

515.

Cincinnati (IN, KY, OH)

24

770.

Salt Lake City (ID, NV, UT, WY)

30

538.

Rochester (NY)

16

517.

Charlotte (NC, SC)

33

507.

Savannah (GA, SC)

5

500.

Portland–Auburn (ME, NH)

5

789.

Tucson–Sierra Vista (AZ)

10

755.

Great Falls (MT)

2

518.

Greensboro–High Point–Winston Salem (NC, VA)

13

533.

Hartford–New Haven (CT)

20

798.

Glendive (MT)

1

802.

Eureka (CA)

2

581.

Terre Haute (IL, IN)

4

529.

Louisville (IN, KY)

20

566.

Harrisburg–Lancaster–Lebanon–York (PA)

26

637.

Cedar Rapids–Waterloo–Dubuque (IA)

16

624.

Sioux City (IA, NE, SD)

1

510.

Cleveland–Akron (OH)

36

534.

Orlando–Daytona Beach–Melbourne (FL)

21

613.

Minneapolis–St. Paul (MN, WI)

45

519.

Charleston (SC)

9

531.

Tri-Cities (KY, TN, VA)

13

644.

Alexandria (LA)

4

513.

Flint–Saginaw–Bay City (MI)

7

623.

Dallas–Fort Worth (TX)

48

567.

Greenville–Spartanburg–Asheville (GA, NC, SC)

19

501.

New York (CT, NJ, NY, PA)

152

628.

Monroe–El Dorado (AR, LA)

1

675.

Peoria–Bloomington (IL)

7

718.

Jackson (MS)

5

641.

San Antonio (TX)

15

710.

Hattiesburg–Laurel (MS)

0

571.

Fort Myers–Naples (FL)

4

508.

Pittsburgh (MD, PA, WV)

30

514.

Buffalo (NY, PA)

16

610.

Rockford (IL)

5

647.

Greenwood–Greenville (AR, MS)

0

736.

Bowling Green (KY)

1

541.

Lexington (KY)

14

502.

Binghamton (NY)

6

636.

Harlingen–Weslaco–Brownsville (TX)

7

716.

Baton Rouge (LA, MS)

3

651.

Lubbock (TX)

7

598.

Clarksburg–Weston (WV)

4

522.

Columbus (AL, GA)

5

622.

New Orleans (LA, MS)

12

855.

Santa Barbara–San Mar–San Luis Obispo (CA)

11

801.

Eugene (OR)

4

603.

Joplin–Pittsburg (KS, MO, OK)

6

659.

Nashville (KY, TN)

24

604.

Columbia–Jefferson City (MO)

8

526.

Utica (NY)

8

520.

Augusta (GA, SC)

4

752.

Colorado Springs–Pueblo (CO)

6

552.

Presque Isle (ME)

4

691.

Huntsville–Decatur–Florence (AL, TN)

11

717.

Quincy–Hannibal–Keokuk (IA, IL, MO)

3

561.

Jacksonville (FL, GA)

10

760.

Twin Falls (ID)

1

584.

Charlottesville (VA)

3

619.

Springfield (AR, MO)

7

702.

La Crosse–Eau Claire (MN, WI)

8

557.

Knoxville (KY, TN)

21

569.

Harrisonburg (VA, WV)

2

656.

Panama City (FL)

5

767.

Casper–Riverton (WY)

4

570.

Myrtle Beach–Florence (NC, SC)

5

725.

Sioux Falls (IA, MN, NE, SD)

9

764.

Rapid City (NE, SD, WY)

3

678.

Wichita–Hutchinson Plus (KS)

16

546.

Columbia (SC)

14

711.

Meridian (AL, MS)

0

862.

Sacramento–Stockton–Modesto (CA)

37

573.

Roanoke–Lynchburg (VA)

8

Variable Format: numeric

Notes: UNF:5:sP7oJ4UtxZNv9oxbKOax/A==

Phone Landlines in Household

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

33

998.

Don’t know

1

Variable Format: numeric

Notes: UNF:5:3qv5dVG+LdOgWeYhh3y7nA==

Have Cell Phone

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

2.

Same

0

999.

Refused

0

3.

Do not have cell phone

0

1.

Different

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Anyone in Household Owns Gun (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

1065

998.

Don’t know

9

2.

No

1624

999.

Refused

52

Variable Format: numeric

Notes: UNF:5:lOp2sa+S7aYPXr8hQgOi5A==

Anyone in Household Owns Gun (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

998.

Don’t know

0

4.

No one owns firearm

0

2.

Other household member

0

999.

Refused

0

1.

Yes, respondent

0

3.

Both respondent and other household member

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Anyone in Household Belongs to NRA (Wording #1)

f2529475 Location:

Value

Label

Frequency

Text

999.

Refused

2

1.

Yes

225

998.

Don’t know

33

2.

No

805

Variable Format: numeric

Notes: UNF:5:UIntvjTsxvh806rc4Q2jzw==

Anyone in Household Belongs to NRA (Wording #2)

f2529475 Location:

Value

Label

Frequency

Text

1.

Yes

0

998.

Don’t know

0

999.

Refused

0

2.

No

0

Variable Format: numeric

Notes: UNF:5:ISnkxq+GqmjPTikCfkVcFA==

Know of Someone Gay or Lesbian

f2529475 Location:

Value

Label

Frequency

Text

3.

Respondent is gay or lesbian

3

1.

Yes

619

999.

Refused

12

2.

No

635

998.

Don’t know

18

Variable Format: numeric

Notes: UNF:5:XCN3IeNKAak8vJqad7Djcw==

Interviewer ID

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:NHSjylBPproJG7jPkxvCxA==

Interviewer Sex

f2529475 Location:

Value

Label

Frequency

Text

2.

Female

1779

1.

Male

971

Variable Format: numeric

Notes: UNF:5:l2IzhsBIqThNWg9uVILcgA==

Interviewer Race

f2529475 Location:

Value

Label

Frequency

Text

1.

White

2094

2.

Black

348

4.

Other

308

3.

Asian

0

Variable Format: numeric

Notes: UNF:5:kHvdeRyC3Vhfdf8NsHF7vw==

Interview Language

f2529475 Location:

Value

Label

Frequency

Text

2.

Spanish

61

1.

English

2689

Variable Format: numeric

Notes: UNF:5:6LRD5zACsTLRxYCssQFB/g==

Interviewer’s Evaluation of Interview Overall

f2529475 Location:

Value

Label

Frequency

Text

3.

C, average

365

999.

No data

0

2.

B, good

974

4.

D, poor

64

1.

A, excellent

1327

5.

F, very poor

20

Variable Format: numeric

Notes: UNF:5:4NfVbtvuNg4kCw8Unoz1kg==

Interviewer’s Evaluation of Respondent’s Political Knowledge

f2529475 Location:

Value

Label

Frequency

Text

999.

No data

5

3.

C, average

701

1.

A, excellent

778

2.

B, good

922

4.

D, poor

258

5.

F, very poor

86

Variable Format: numeric

Notes: UNF:5:ucpfqUhdN1LgBorQJLJHwA==

ruling

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:7B8PVTnCMCBx25ar7O/A2g==

gayfavor

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:EErCbRz1rqLBUenNO+mdpw==

xtianfavor

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:+NOnuMohZuqRqSrJvO7EFw==

protfavor

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:QlAZtBDbfzEgrzLOBEpo7A==

gmfavor

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:jYALaqAnOadSI7b9sTCVpA==

direction

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:S5LUCWD7uq1odE8YoQpILA==

morals

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:goBukedaWWe7nW4KvDlllg==

gop

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:4HAUIfIHjjSuuckWbLDaBg==

democrat

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:6LBXuEJrOyhcj2GpN8c2Nw==

protestant

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:SK+/K5ClizjkafnmZFcHOQ==

mormon

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:QW8UlFg3fztMPANYixgf9A==

catholic

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Gesj1XWZGwx1jysk7x1Geg==

bornagain

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:OwOVyiDy6klwxdCn3w/x+g==

howoften

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:hI0V2sqjzgNGCWOSErC8sA==

mass

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:N2eACpj+oYwAhGMjiUXwfA==

florida

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:r2NwHzvRitcApKWzZAPKaQ==

california

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:cDJpvH0l4Xrn+go1/T3aug==

iowa

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:F2Xy1/tZaaolVtGNQVVWGw==

white

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:UeGViqLV3tDVhYiH1CsIbg==

black

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:DLfbprPvfH6MsNjwTKD6mw==

hispanic

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:8QWJjyosRlUvLAyPJZhpRQ==

female

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:+5Veqjo5dYHp+dG/zEHD6w==

age

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:dxPbnTwJMLxl3NJEosMgrA==

liberalism

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:tBWdT3+RWBc1l+bsxVB0Vw==

fmamdtoppose

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:Be0gWDDo9yVcnMDiaSAUKg==

moderate

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:qAyCWyo2XUZKKfF8JnlNoA==

vpcorr

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:JZmZOwueXNpWI5qhiuj5pw==

sccorr

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:VbL+OR8v1/g5Xsdi1sVgcw==

vetocorr

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:mZV+Yxdu7h0xflnJgb+GgQ==

housecorr

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:G8eXYoaztNU6hcZydBEccA==

knowindex

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:OPuAmsGxD7f/u1pGdS0rVw==

unsophisticated

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:gVeSeYT0JhZbkReMwFuJHg==

FMAintensity

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:pNDIyFf4P4s9wm/CBE7BQg==

intendtovote

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:G1JFbZmTG+Qhr4govqzqcQ==

registered

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:873RwCCE6ravApjWXqDwKg==

wbornagain

f2529475 Location:

Variable Format: numeric

Notes: UNF:5:AKl/JmYFMrFWj0Nw9rtFfQ==

week

f2529476 Location:

Variable Format: numeric

Notes: UNF:5:/+fiq3Gh77j2jiIVY9bFiQ==

allgayfavor

f2529476 Location:

Variable Format: numeric

Notes: UNF:5:rdXbX50vLX/vbQ9qcafV0Q==

modgayfavor

f2529476 Location:

Variable Format: numeric

Notes: UNF:5:C2CaxiDa3Jvsk5w8/+2K8w==

dumbgayfavor

f2529476 Location:

Variable Format: numeric

Notes: UNF:5:7k24W1e1Uob4aPR3QdRyjA==

bagayfavor

f2529476 Location:

Variable Format: numeric

Notes: UNF:5:MZrHB2d1Hgp44wRQecBXZQ==

Other Study-Related Materials

Label:

control_post.pdf

Text:

Codebook for Experiment (post-test)

Notes:

application/pdf

Other Study-Related Materials

Label:

experiment.replication

Text:

Do file for experimental results

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

figures1_5.do

Text:

do file for figures 1-5

Notes:

text/x-stata-syntax; charset=US-ASCII

Other Study-Related Materials

Label:

gaymarriage_pre.pdf

Text:

Codebook for Experiment (pre-test)

Notes:

application/pdf

Other Study-Related Materials

Label:

Observational Data replication file 1.do

Text:

Observational Results. Do file for Tables 2,3, Figure 6, and Appendices G and I

Notes:

text/x-stata-syntax; charset=US-ASCII