Replication Data for: Where You Work Is Where You Stand: A Firm-Based Framework for Understanding Trade Opinion (doi:10.7910/DVN/F07GBK)

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

Citation

Title:

Replication Data for: Where You Work Is Where You Stand: A Firm-Based Framework for Understanding Trade Opinion

Identification Number:

doi:10.7910/DVN/F07GBK

Distributor:

Harvard Dataverse

Date of Distribution:

2022-01-26

Version:

1

Bibliographic Citation:

Haillie Na-Kyung Lee; Yu-Ming Liou, 2022, "Replication Data for: Where You Work Is Where You Stand: A Firm-Based Framework for Understanding Trade Opinion", https://doi.org/10.7910/DVN/F07GBK, Harvard Dataverse, V1, UNF:6:rqP5BUTGW9Rj/cgAJIFJUg== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Where You Work Is Where You Stand: A Firm-Based Framework for Understanding Trade Opinion

Identification Number:

doi:10.7910/DVN/F07GBK

Authoring Entity:

Haillie Na-Kyung Lee (Seoul National University)

Yu-Ming Liou (Wikimedia Foundation)

Distributor:

Harvard Dataverse

Access Authority:

Haillie Na-Kyung Lee

Depositor:

Haillie Na-Kyung Lee

Date of Deposit:

2022-01-25

Holdings Information:

https://doi.org/10.7910/DVN/F07GBK

Study Scope

Keywords:

Social Sciences, Social Sciences, International Trade, New New Trade Theory

Abstract:

What determines public support for trade liberalization? IPE scholars have generally focused on the effects of openness on employment based on individuals’ skill-level, sector, or occupation. Recent developments in trade economics suggest that the characteristics of individual citizens’ employing firms may also shape their attitudes towards trade policy. In this paper, using under-explored survey data combining trade opinion with measures of employer productivity(2008 Japanese General Social Survey), we present evidence that employees of more-productive/more-globalized firms are much more supportive of trade openness than employees of less-productive/domestically-oriented firms, even when accounting for skill-level, sectoral, and occupational characteristics. Moreover, we find evidence that effects of these characteristics described in the literature are conditioned by globalized firm employment. Last, we find that the effect of globalized firm employment is conditioned by employees’ relative position within their firms. Those who are more likely to benefit directly from firm success–e.g., permanent employees and managers –hold the most pro-trade preferences. These findings suggest that economic interests may affect individual policy preferences in more nuanced ways than previously recognized.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

File Description--f5791238

File: Acemoglu_Autor_2011.tab

  • Number of cases: 471

  • No. of variables per record: 60

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

Notes:

UNF:6:XOVuDcahyq5Aqp6Vgglr8w==

File Description--f5791240

File: Basefile.tab

  • Number of cases: 4220

  • No. of variables per record: 53

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

Notes:

UNF:6:naxmITPRy8zftxXHG99msg==

File Description--f5791237

File: blindersoc_isco88.tab

  • Number of cases: 455

  • No. of variables per record: 11

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

Notes:

UNF:6:wuLZiMeq89MNzMqMGNXTmw==

File Description--f5791232

File: DD_occ_isco88.tab

  • Number of cases: 519

  • No. of variables per record: 8

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

Notes:

UNF:6:AwMS15Wds6AGSQCPBVUNWA==

File Description--f5791228

File: JGSS 2008_AA_2011.tab

  • Number of cases: 4274

  • No. of variables per record: 184

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

Notes:

UNF:6:Je1vPI8Y+Af4AxW5f05oKg==

File Description--f5791230

File: JGSS 2008_Blinder.tab

  • Number of cases: 4289

  • No. of variables per record: 140

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

Notes:

UNF:6:Cfz4M4olXipdVm3dy99tGw==

File Description--f5791227

File: JGSS 2008_int.tab

  • Number of cases: 4220

  • No. of variables per record: 130

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

Notes:

UNF:6:pYv+NRNBrLNl04+HiD0+nA==

File Description--f5791229

File: JGSS 2008.tab

  • Number of cases: 4220

  • No. of variables per record: 130

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

Notes:

UNF:6:pYv+NRNBrLNl04+HiD0+nA==

File Description--f5791234

File: JGSS_MI_IO.tab

  • Number of cases: 39860

  • No. of variables per record: 154

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

Notes:

UNF:6:ejBw9ZEmg+mk395X8rAzJQ==

File Description--f5791231

File: RTFPir.tab

  • Number of cases: 1081

  • No. of variables per record: 4

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

Notes:

UNF:6:poO9x8HRyNcoobild2MkCw==

File Description--f5791236

File: tfp by prefecture.tab

  • Number of cases: 47

  • No. of variables per record: 3

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

Notes:

UNF:6:qaAPgxX0oCvWiXbVHCjVSw==

Variable Description

List of Variables:

Variables

OCC_2000

f5791238 Location:

Summary Statistics: StDev 280.5560609383938; Min. 1.0; Valid 471.0; Mean 484.05520169851223; Max. 975.0

Variable Format: numeric

Notes: UNF:6:UcAo0gC/rkTy08J/r7NRww==

(mean) nr_cog_anal

f5791238 Location:

Summary Statistics: StDev 0.9267800596456894; Max. 2.5875728130340576; Valid 471.0; Min. -2.27079439163208; Mean 0.26979597298788854;

Variable Format: numeric

Notes: UNF:6:dY1BmeuxWEsDlZ/GCwA0/Q==

(mean) nr_cog_pers

f5791238 Location:

Summary Statistics: Max. 3.1973540782928467; Min. -2.582540512084961; StDev 0.9650336750931673; Valid 471.0; Mean 0.031069889326928283

Variable Format: numeric

Notes: UNF:6:dbA/FMGsmAZtT9OQ9qoWeA==

(mean) r_cog

f5791238 Location:

Summary Statistics: Max. 4.229897499084473; Mean -0.0247110769534281; StDev 1.0334180949500364; Min. -4.283689022064209; Valid 471.0;

Variable Format: numeric

Notes: UNF:6:kQUKyO55UU73X65eacPnIA==

(mean) r_man

f5791238 Location:

Summary Statistics: Max. 3.463386297225952; StDev 1.1373869231946863; Valid 471.0; Min. -1.9061087369918823; Mean 0.1574078439740453;

Variable Format: numeric

Notes: UNF:6:HyLlHEjNAWfEVtoWVrv7bA==

(mean) nr_man_phys

f5791238 Location:

Summary Statistics: StDev 1.0343823187522279; Max. 2.8980233669281006; Valid 471.0; Min. -1.7941209077835083; Mean 0.1744784620621177

Variable Format: numeric

Notes: UNF:6:pFvNcztKtsmg4aImIIT5gA==

(mean) nr_man_pers

f5791238 Location:

Summary Statistics: Min. -4.433651924133301; StDev 1.092911616519051; Valid 470.0; Mean -0.1729899216155988; Max. 2.547982931137085;

Variable Format: numeric

Notes: UNF:6:RxYLnxS7LbLDFY7D8SH2fw==

(mean) offshor

f5791238 Location:

Summary Statistics: Min. -3.2335009574890137; Valid 471.0; Mean -0.04787112952196478; Max. 2.893707275390625; StDev 1.0750624294761688;

Variable Format: numeric

Notes: UNF:6:Ij0kZqhMW6vR4BVgHJo1kw==

(rawsum) socwt

f5791238 Location:

Summary Statistics: Mean 843209.0021117377; Min. 990.0; Valid 471.0; Max. 1.314806E7; StDev 1585280.015590766;

Variable Format: numeric

Notes: UNF:6:SGLcIxjCPEjwtsnt2Z2/JQ==

Census occupation code 1990

f5791238 Location:

Value

Label

Frequency

Text

188.

Art makers: painters, sculptors, craft-artists, and print-makers

1

183.

Writers and authors

1

373.

Material recording, scheduling, production, planning, and expediting clerks

2

813.

Parking lot attendants

1

86.

Veterinarians

1

226.

Airplane pilots and navigators

1

796.

Production checkers and inspectors

0

275.

Retail sales clerks

1

518.

Industrial machinery repairers

1

195.

Editors and reporters

3

474.

Horticultural specialty farmers

0

364.

Shipping and receiving clerks

2

888.

Packers and packagers by hand

1

258.

Sales engineers

1

67.

Statisticians

0

98.

Respiratory therapists

1

657.

Cabinetmakers and bench carpenters

1

87.

Optometrists

1

649.

Engravers

1

204.

Dental hygenists

1

418.

Police, detectives, and private investigators

4

526.

Repairers of household appliances and power tools

1

883.

Freight, stock, and materials handlers

1

200.

Professionals, n.e.c.

0

255.

Financial services sales occupations

1

193.

Dancers

1

436.

Cooks, variously defined

3

679.

Bookbinders

1

735.

Photoengravers and lithographers

0

53.

Civil engineers

1

316.

Interviewers, enumerators, and surveyors

3

765.

Paper folding machine operators

1

643.

Boilermakers

1

243.

Supervisors and proprietors of sales jobs

2

589.

Glaziers

1

444.

Misc food prep workers

2

383.

Bank tellers

1

534.

Heating, air conditioning, and refigeration mechanics

1

19.

Funeral directors

1

659.

Other precision woodworkers

0

859.

Misc material moving occupations

1

544.

Millwrights

1

178.

Lawyers

1

348.

Telephone operators

2

753.

Cementing and gluing maching operators

1

33.

Purchasing managers, agents and buyers, n.e.c.

2

189.

Photographers

1

308.

Computer and peripheral equipment operators

1

454.

Elevator operators

1

584.

Plasterers

1

14.

Managers in education and related fields

1

538.

Office machine repairers and mechanics

0

764.

Washing, cleaning, and pickling machine operators

1

97.

Dietitians and nutritionists

1

303.

Office supervisors

1

615.

Explosives workers

1

749.

Misc textile machine operators

2

149.

Home economics instructors

0

637.

Machinists

1

356.

Mail clerks, outside of post office

1

57.

Mechanical engineers

1

865.

Helpers, constructions

1

596.

Sheet metal duct installers

1

744.

Textile sewing machine operators

1

583.

Paperhangers

1

595.

Roofers and slaters

1

234.

Legal assistants, paralegals, legal support, etc

2

616.

Miners

1

329.

Library assistants

2

457.

Barbers

1

675.

Hand molders and shapers, except jewelers

1

44.

Aerospace engineer

1

214.

Engineering technicians, n.e.c.

2

733.

Other woodworking machine operators

1

361.

Inspectors, n.e.c.

0

487.

Animal caretakers except on farms

1

415.

Supervisors of guards

1

876.

Materials movers: stevedores and longshore workers

0

357.

Messengers

1

113.

Earth, environmental, and marine science instructors

0

158.

Special education teachers

1

36.

Inspectors and compliance officers, outside construction

2

708.

Drilling and boring machine operators

1

283.

Sales demonstrators / promoters / models

1

119.

Economics instructors

0

173.

Urban and regional planners

1

434.

Bartenders

1

206.

Radiologic tech specialists

1

688.

Batch food makers

1

488.

Graders and sorters of agricultural products

1

844.

Operating engineers of construction equipment

1

723.

Metal platers

1

347.

Office machine operators, n.e.c.

1

773.

Motion picture projectionists

1

24.

Insurance underwriters

1

28.

Purchasing agents and buyers, of farm products

1

8.

Human resources and labor relations managers

1

235.

Technicians, n.e.c.

0

343.

Cost and rate clerks (financial records processing)

0

479.

Farm workers

2

687.

Bakers

1

99.

Occupational therapists

2

376.

Customer service reps, investigators and adjusters, except insurance

2

736.

Typesetters and compositors

2

486.

Gardeners and groundskeepers

1

669.

Shoe repairers

1

168.

Sociologists

0

503.

Supervisors of mechanics and repairers

1

118.

Psychology instructors

0

368.

Weighers, measurers, and checkers

1

458.

Hairdressers and cosmetologists

2

593.

Insulation workers

2

69.

Physicists and astronomers

1

507.

Bus, truck, and stationary engine mechanics

1

194.

Art/entertainment performers and related

2

734.

Printing machine operators, n.e.c.

1

207.

Licensed practical nurses

1

106.

Physicians' assistants

1

874.

Production helpers

1

223.

Biological technicians

2

878.

Machine feeders and offbearers

1

64.

Computer systems analysts and computer scientists

5

755.

Extruding and forming machine operators

2

757.

Separating, filtering, and clarifying machine operators

1

459.

Recreation facility attendants

2

696.

Plant and system operators, stationary engineers

1

785.

Assemblers of electrical equipment

4

215.

Mechanical engineering technicians

0

187.

Actors, directors, producers

2

208.

Health technologists and technicians, n.e.c.

3

73.

Chemists

1

483.

Marine life cultivation workers

0

435.

Waiter/waitress

1

443.

Waiter's assistant

3

157.

Secondary school teachers

1

79.

Foresters and conservation scientists

1

313.

Secretaries

1

597.

Structural metal workers

2

37.

Management support occupations

1

186.

Musician or composer

1

384.

Proofreaders

1

127.

Engineering instructors

0

48.

Chemical engineers

1

323.

Information clerks, nec

0

498.

Fishers, hunters, and kindred

1

315.

Typists

2

139.

Education instructors

0

377.

Eligibility clerks for government programs; social welfare

1

445.

Dental assistants

1

85.

Dentists

1

125.

Sociology instructors

0

375.

Insurance adjusters, examiners, and investigators

2

103.

Physical therapists

2

461.

Guides

1

719.

Molders, and casting machine operators

1

519.

Machinery maintenance occupations

1

573.

Drywall installers

1

695.

Power plant operators

1

366.

Meter readers

1

155.

Kindergarten and earlier school teachers

1

387.

Teacher's aides

0

728.

Shaping and joining machine operator (woodworking)

0

707.

Rollers, roll hands, and finishers of metal

1

405.

Housekeepers, maids, butlers, stewards, and lodging quarters cleaners

1

473.

Farmers (owners and tenants)

1

15.

Managers of medicine and health occupations

1

674.

Other precision apparel and fabric workers

0

84.

Physicians

1

423.

Other law enforcement: sheriffs, bailiffs, correctional institution officers

3

769.

Slicing and cutting machine operators

2

123.

History instructors

0

726.

Wood lathe, routing, and planing machine operators

1

799.

Graders and sorters in manufacturing

1

677.

Optical goods workers

1

594.

Paving, surfacing, and tamping equipment operators

1

763.

Roasting and baking machine operators (food)

1

439.

Kitchen workers

1

628.

Production supervisors or foremen

1

145.

Law instructors

0

745.

Shoemaking machine operators

1

179.

Judges

1

76.

Physical scientists, n.e.c.

1

694.

Water and sewage treatment plant operators

1

653.

Tinsmiths, coppersmiths, and sheet metal workers

0

645.

Patternmakers and model makers

1

743.

Textile cutting machine operators

1

147.

Theology instructors

0

535.

Precision makers, repairers, and smiths

2

176.

Clergy and religious workers

3

804.

Truck, delivery, and tractor drivers

3

385.

Data entry keyers

1

116.

Physics instructors

0

703.

Lathe, milling, and turning machine operatives

1

509.

Small engine repairers

1

55.

Electrical engineer

2

349.

Other telecom operators

1

218.

Surveyors, cartographers, mapping scientists and technicians

2

489.

Inspectors of agricultural products

1

991.

Unemployed

0

150.

Humanities profs/instructors, college, nec

0

455.

Pest control occupations

1

228.

Broadcast equipment operators

1

337.

Bookkeepers and accounting and auditing clerks

1

717.

Fabricating machine operators, n.e.c.

0

658.

Furniture and wood finishers

1

834.

Water transport infrastructure tenders and crossing guards

0

379.

General office clerks

1

77.

Agricultural and food scientists

1

274.

Salespersons, n.e.c.

6

26.

Management analysts

1

164.

Librarians

1

27.

Personnel, HR, training, and labor relations specialists

1

17.

Managers of food-serving and lodging establishments

2

536.

Locksmiths and safe repairers

1

756.

Mixing and blending machine operatives

1

527.

Telecom and line installers and repairers

2

18.

Managers of properties and real estate

1

754.

Packers, fillers, and wrappers

1

774.

Photographic process workers

1

887.

Vehicle washers and equipment cleaners

1

666.

Dressmakers and seamstresses

1

585.

Plumbers, pipe fitters, and steamfitters

1

326.

Correspondence and order clerks

1

328.

Human resources clerks, except payroll and timekeeping

1

766.

Furnace, kiln, and oven operators, apart from food

2

335.

File clerks

1

205.

Health record tech specialists

1

505.

Automobile mechanics

1

59.

Not-elsewhere-classified engineers

4

684.

Other precision and craft workers

0

768.

Crushing and grinding machine operators

0

706.

Punching and stamping press operatives

1

693.

Adjusters and calibrators

0

165.

Archivists and curators

1

43.

Architects

1

875.

Garbage and recyclable material collectors

1

277.

Door-to-door sales, street sales, and news vendors

1

667.

Tailors

0

184.

Technical writers

1

74.

Atmospheric and space scientists

1

456.

Supervisors of personal service jobs, n.e.c.

1

686.

Butchers and meat cutters

1

448.

Supervisors of cleaning and building service

1

829.

Ship crews and marine engineers

3

599.

Construction trades, n.e.c.

2

739.

Knitters, loopers, and toppers textile operatives

1

229.

Computer software developers

2

386.

Statistical clerks

1

579.

Painters, construction and maintenance

1

549.

Mechanics and repairers, n.e.c.

4

823.

Railroad conductors and yardmasters

1

154.

Subject instructors (HS/college)

1

227.

Air traffic controllers

1

885.

Garage and service station related occupations

1

824.

Locomotive operators (engineers and firemen)

2

729.

Nail and tacking machine operators (woodworking)

1

476.

Managers of horticultural specialty farms

0

314.

Stenographers

0

905.

Military

0

4.

Chief executives and public administrators

1

213.

Electrical and electronic (engineering) technicians

0

75.

Geologists

1

614.

Drillers of oil wells

1

809.

Taxi cab drivers and chauffeurs

2

65.

Operations and systems researchers and analysts

2

575.

Electricians

2

447.

Nursing aides, orderlies, and attendants

2

748.

Laundry workers

1

738.

Winding and twisting textile/apparel operatives

1

533.

Repairers of electrical equipment, n.e.c.

2

453.

Janitors

1

724.

Heat treating equipment operators

1

25.

Other financial specialists

7

446.

Health aides, except nursing

1

747.

Pressing machine operators (clothing)

1

644.

Precision grinders and filers

1

617.

Other mining occupations

1

727.

Sawing machine operators and sawyers

1

789.

Hand painting, coating, and decorating occupations

0

89.

Other health and therapy

2

22.

Managers and administrators, n.e.c.

9

426.

Guards, watchmen, doorkeepers

1

646.

Lay-out workers

1

713.

Forge and hammer operators

1

66.

Actuaries

1

634.

Tool and die makers and die setters

1

485.

Supervisors of agricultural occupations

1

463.

Public transportation attendants and inspectors

2

95.

Registered nurses

1

225.

Other science technicians

1

276.

Cashiers

2

866.

Helpers, surveyors

1

7.

Financial managers

1

345.

Duplication machine operators / office machine operators

0

588.

Concrete and cement workers

1

465.

Welfare service aides

1

496.

Timber, logging, and forestry workers

3

378.

Bill and account collectors

1

185.

Designers

1

29.

Buyers, wholesale and retail trade

1

359.

Dispatchers

1

425.

Crossing guards and bridge tenders

1

508.

Aircraft mechanics

1

233.

Programmers of numerically controlled machine tools

1

759.

Painting machine operators

1

889.

Laborers outside construction

3

354.

Postal clerks, excluding mail carriers

1

469.

Personal service occupations, nec

4

199.

Athletes, sports instructors, and officials

1

475.

Farm managers, except for horticultural farms

1

338.

Payroll and timekeeping clerks

1

539.

Repairers of mechanical controls and valves

1

35.

Construction inspectors

1

543.

Elevator installers and repairers

1

525.

Repairers of data processing equipment

1

198.

Announcers

1

678.

Dental laboratory and medical appliance technicians

2

318.

Transportation ticket and reservation agents

2

344.

Billing clerks and related financial records processing

1

3.

Legislators

1

668.

Upholsterers

1

159.

Teachers , n.e.c.

3

23.

Accountants and auditors

2

96.

Pharmacists

1

13.

Managers and specialists in marketing, advertising, and public relations

4

16.

Postmasters and mail superintendents

1

166.

Economists, market researchers, and survey researchers

2

156.

Primary school teachers

1

169.

Social scientists, n.e.c.

1

163.

Vocational and educational counselors

1

319.

Receptionists

1

167.

Psychologists

1

203.

Clinical laboratory technologies and technicians

1

355.

Mail carriers for postal service

1

105.

Therapists, n.e.c.

3

598.

Drillers of earth

1

567.

Carpenters

1

83.

Medical scientists

1

56.

Industrial engineers

1

803.

Supervisors of motor vehicle transportation

1

514.

Auto body repairers

2

407.

Private household cleaners and servants

0

317.

Hotel clerks

1

709.

Grinding, abrading, buffing, and polishing workers

1

699.

Other plant and system operators

1

253.

Insurance sales occupations

1

848.

Crane, derrick, winch, and hoist operators

2

47.

Petroleum, mining, and geological engineers

1

175.

Recreation workers

1

114.

Biological science instructors

0

68.

Mathematicians and mathematical scientists

1

346.

Mail and paper handlers

1

464.

Baggage porters

1

427.

Protective services, n.e.c.

2

254.

Real estate sales occupations

2

115.

Chemistry instructors

0

88.

Podiatrists

1

224.

Chemical technicians

1

516.

Heavy equipment and farm equipment mechanics

2

558.

Supervisors of construction work

1

78.

Biological scientists

1

128.

Math instructors

0

217.

Drafters

1

256.

Advertising and related sales jobs

1

784.

Solderers

0

417.

Fire fighting, prevention, and inspection

3

779.

Machine operators, n.e.c.

2

783.

Welders and metal cutters

1

563.

Masons, tilers, and carpet installers

2

484.

Nursery farming workers

0

468.

Child care workers

2

104.

Speech therapists

2

21.

Managers of service organizations, n.e.c.

4

877.

Stock handlers

0

999.

Unknown

0

438.

Food counter and fountain workers

0

523.

Repairers of industrial electrical equipment

2

825.

Railroad brake, coupler, and switch operators

1

365.

Stock and inventory clerks

2

45.

Metallurgical and materials engineers, variously phrased

1

869.

Construction laborers

2

462.

Ushers

1

853.

Excavating and loading machine operators

1

336.

Records clerks

2

34.

Business and promotion agents

1

808.

Bus drivers

1

174.

Social workers

1

389.

Administrative support jobs, n.e.c.

2

577.

Electric power installers and repairers

2

Summary Statistics: Valid 471.0; Min. 3.0; Mean 394.63694267515746; StDev 261.889073956641; Max. 889.0

Variable Format: numeric

Notes: UNF:6:X27kkKZEd0i3EBtdArYNSA==

Census occupation code 1990dd

f5791238 Location:

Summary Statistics: Mean 390.65180467091454; StDev 261.2832118600957; Min. 4.0; Max. 889.0; Valid 471.0

Variable Format: numeric

Notes: UNF:6:WqRZMKaVy+krHNxMPrxiXw==

(sum) lswt

f5791238 Location:

Summary Statistics: Valid 471.0; Max. 4201393.274366621; Mean 316411.5164522045; Min. 7604.860556900501; StDev 550590.4548901168;

Variable Format: numeric

Notes: UNF:6:xYrdtYHXPGEwOdGl6hdooA==

Census region and division

f5791238 Location:

Value

Label

Frequency

Text

11.

New England Division

18

41.

Mountain Division

42

23.

Mixed Midwest Divisions (1970 Metro)

0

33.

West South Central Div.

49

34.

Mixed Southern Divisions (1970 Metro)

0

12.

Middle Atlantic Division

36

43.

Mixed Western Divisions (1970 Metro)

0

31.

South Atlantic Division

70

13.

Mixed Northeast Divisions (1970 Metro)

0

91.

Military/Military reservations

0

21.

East North Central Div.

52

99.

Not identified

0

32.

East South Central Div.

14

42.

Pacific Division

143

22.

West North Central Div.

47

92.

PUMA boundaries cross state lines-1% sample

0

97.

State not identified

0

Summary Statistics: Max. 42.0; Mean 31.25053078556263; Valid 471.0; StDev 10.405239818241293; Min. 11.0;

Variable Format: numeric

Notes: UNF:6:RvOIN7QZZSM6X7mm9iJF8A==

State (FIPS code)

f5791238 Location:

Value

Label

Frequency

Text

72.

Puerto Rico

0

56.

Wyoming

0

28.

Mississippi

5

2.

Alaska

3

97.

Military/Mil. Reservation

0

22.

Louisiana

5

12.

Florida

30

51.

Virginia

11

15.

Hawaii

12

31.

Nebraska

2

41.

Oregon

18

48.

Texas

31

11.

District of Columbia

1

20.

Kansas

4

5.

Arkansas

8

21.

Kentucky

2

54.

West Virginia

1

64.

Maryland-Delaware

0

9.

Connecticut

5

13.

Georgia

9

4.

Arizona

13

34.

New Jersey

6

50.

Vermont

1

27.

Minnesota

16

99.

State not identified

0

45.

South Carolina

3

30.

Montana

3

53.

Washington

14

25.

Massachusetts

7

32.

Nevada

4

8.

Colorado

11

35.

New Mexico

2

16.

Idaho

6

18.

Indiana

6

39.

Ohio

9

47.

Tennessee

3

63.

Minnesota-Iowa-Missouri-Kansas-Nebraska-S.Dakota-N.Dakota

0

6.

California

96

17.

Illinois

15

38.

North Dakota

0

65.

Montana-Idaho-Wyoming

0

49.

Utah

3

29.

Missouri

15

68.

Alaska-Hawaii

0

37.

North Carolina

13

42.

Pennsylvania

15

26.

Michigan

13

23.

Maine

5

36.

New York

15

19.

Iowa

8

67.

Arizona-New Mexico

0

62.

Massachusetts-Rhode Island

0

55.

Wisconsin

9

40.

Oklahoma

5

61.

Maine-New Hampshire-Vermont

0

66.

Utah-Nevada

0

10.

Delaware

1

44.

Rhode Island

0

46.

South Dakota

2

24.

Maryland

1

33.

New Hampshire

0

1.

Alabama

4

Summary Statistics: StDev 16.52762337884702; Min. 1.0; Valid 471.0; Mean 24.182590233545643; Max. 55.0;

Variable Format: numeric

Notes: UNF:6:2Rvtn7cm6Gl8Ffh4LPlLhw==

Metropolitan area [detailed version]

f5791238 Location:

Value

Label

Frequency

Text

840.

Beaumont-Port Arthur-Orange,TX

1

3280.

Hartford-Bristol-Middleton-New Britain, CT

0

3810.

Kileen-Temple, TX

0

760.

Baton Rouge, LA

0

1520.

Charlotte-Gastonia-Rock Hill, SC

1

6560.

Pueblo, CO

0

450.

Anniston, AL

0

3060.

Greeley, CO

0

7360.

San Francisco-Oakland-Vallejo, CA

3

240.

Allentown-Bethlehem-Easton, PA/NJ

0

1920.

Dallas-Fort Worth, TX

4

1020.

Bloomington, IN

0

6240.

Pine Bluff, AR

0

6440.

Portland-Vancouver, OR

5

4000.

Lancaster, PA

1

9080.

Wichita Falls, TX

0

5140.

Missoula, MT

0

9200.

Wilmington, NC

0

6360.

Ponce, PR

0

5720.

Norfolk-VA Beach-Newport News, VA

2

780.

Battle Creek, MI

0

3180.

Hagerstown, MD

0

3290.

Hickory-Morgantown, NC

0

120.

Albany, GA

1

4520.

Louisville, KY/IN

1

4410.

Long Branch-Asbury Park,NJ

0

9260.

Yakima, WA

1

5640.

Newark, OH

0

2240.

Duluth-Superior, MN/WI

1

5330.

Myrtle Beach, SC

1

1122.

Lowell, MA/NH

0

5990.

Owensboro, KY

0

7080.

Salem, OR

4

3520.

Jackson, MI

0

1640.

Cincinnati OH/KY/IN

3

3000.

Grand Rapids, MI

0

7120.

Salinas-Sea Side-Monterey, CA

4

4482.

Orange County, CA

2

6482.

Pawtuckett-Woonsocket-Attleboro, RI/MA

0

7720.

Sioux City, IA/NE

1

9270.

Yolo, CA

1

2970.

Glens Falls, NY

1

3850.

Kokomo, IN

0

1300.

Burlington, NC

0

1121.

Lawrence-Haverhill, MA/NH

0

2560.

Fayetteville, NC

0

480.

Asheville, NC

0

580.

Auburn-Opelika, AL

0

7760.

Sioux Falls, SD

0

6281.

Beaver County, PA

0

3710.

Joplin, MO

1

6080.

Pensacola, FL

1

6720.

Reno, NV

1

1320.

Canton, OH

0

7510.

Sarasota, FL

1

3150.

Greenville, NC

0

400.

Anderson, IN

0

1604.

Lake County, IL

0

8880.

Waterbury, CT

0

200.

Albuquerque, NM

0

6160.

Philadelphia, PA/NJ

3

5340.

Naples, FL

0

4760.

Manchester, NH

0

8480.

Trenton, NJ

0

8120.

Stockton, CA

5

5721.

Newport News-Hampton

0

5170.

Modesto, CA

5

3282.

Middletown, CT

0

1440.

Charleston-N.Charleston,SC

0

2920.

Galveston-Texas City, TX

1

3500.

Iowa City, IA

0

7470.

Santa Barbara-Santa Maria-Lompoc, CA

1

7561.

Wilkes-Barre-Hazelton, PA

0

7480.

Santa Cruz, CA

0

3840.

Knoxville, TN

0

2020.

Daytona Beach, FL

2

8920.

Waterloo-Cedar Falls, IA

0

6030.

Pascagoula-Moss Point, MS

0

460.

Appleton-Oskosh-Neenah, WI

0

7160.

Salt Lake City-Ogden, UT

1

40.

Abilene, TX

0

6320.

Pittsfield, MA

0

1603.

Joliet IL

0

5604.

Middlesex-Somerset-Hunterdon, NJ

2

4940.

Merced, CA

0

440.

Ann Arbor, MI

0

2620.

Flagstaff, AZ-UT

0

1200.

Brockton, MA

0

280.

Altoona, PA

0

1521.

Rock Hill, SC

0

6010.

Panama City, FL

0

1123.

Salem-Gloucester, MA

0

3680.

Johnstown, PA

0

1602.

Gary-Hammond-East Chicago, IN

0

8760.

Vineland-Milville-Bridgetown, NJ

0

9360.

Yuma, AZ

4

3480.

Indianapolis, IN

0

2640.

Flint, MI

0

6800.

Roanoke, VA

0

9160.

Wilmington, DE/NJ/MD

1

8800.

Waco, TX

0

8240.

Tallahassee, FL

1

6920.

Sacramento, CA

9

2710.

Fort Pierce, FL

0

2000.

Dayton-Springfield, OH

1

960.

Binghamton, NY

0

8320.

Terre Haute, IN

1

9320.

Youngstown-Warren, OH-PA

0

2190.

Dover, DE

0

2990.

Grand Forks, ND/MN

0

560.

Atlantic City, NJ

1

4120.

Las Vegas, NV

1

7200.

San Angelo, TX

0

2360.

Erie, PA

0

5120.

Minneapolis-St. Paul, MN

5

1280.

Buffalo-Niagara Falls, NY

0

2660.

Florence, SC

0

9240.

Worcester, MA

1

0.

Not identifiable or not in an MSA

218

2720.

Fort Smith, AR/OK

1

380.

Anchorage, AK

0

3160.

Greenville-Spartanburg-Anderson SC

0

4880.

McAllen-Edinburg-Pharr-Mission, TX

1

500.

Athens, GA

1

4920.

Memphis, TN/AR/MS

1

7610.

Sharon, PA

0

3350.

Houma-Thibodoux, LA

0

3590.

Jacksonville, FL

0

5960.

Orlando, FL

3

6640.

Raleigh-Durham, NC

2

2680.

Fort Lauderdale-Hollywood-Pompano Beach, FL

2

5880.

Oklahoma City, OK

0

4640.

Lynchburg, VA

0

1480.

Charleston, WV

0

3120.

Greensboro-Winston Salem-High Point, NC

2

4481.

Anaheim-Santa Ana-Garden Grove, CA

0

5400.

New Bedford, MA

0

60.

Aguadilla, PR

0

3760.

Kansas City, MO-KS

2

9000.

Wheeling, WV/OH

0

2080.

Denver-Boulder-Longmont, CO

1

740.

Barnstable-Yarmouth, MA

0

8640.

Tyler, TX

0

3360.

Houston-Brazoria, TX

4

880.

Billings, MT

0

9040.

Wichita, KS

1

1400.

Champaign-Urbana-Rantoul, IL

2

8440.

Topeka, KS

0

7040.

St. Louis, MO-IL

1

3560.

Jackson, MS

0

2180.

Dothan, AL

0

7520.

Savannah, GA

0

2750.

Fort Walton Beach, FL

0

1950.

Danville, VA

0

5920.

Omaha, NE/IA

0

8040.

Stamford, CT

0

920.

Biloxi-Gulfport, MS

0

5480.

New Haven-Meriden, CT

0

1140.

Bradenton, FL

0

1310.

Burlington, VT

0

7600.

Seattle-Everett, WA

4

5600.

New York-Northeastern NJ

3

7640.

Sherman-Denison, TX

0

2200.

Dubuque, IA

0

6690.

Redding, CA

1

3281.

Bristol, CT

0

6761.

Petersburg-Colonial Heights, VA

0

2520.

Fargo-Morehead, ND/MN

0

6880.

Rockford, IL

1

6840.

Rochester, NY

2

470.

Arecibo, PR

0

2580.

Fayetteville-Springdale, AR

0

1120.

Boston, MA

4

3161.

Anderson, SC

0

6740.

Richland-Kennewick-Pasco, WA

0

3580.

Jackson, TN

0

3880.

Lafayette, LA

0

4420.

Longview-Marshall, TX

0

2400.

Eugene-Springfield, OR

0

520.

Atlanta, GA

2

2030.

Decatur, AL

0

1880.

Corpus Christi, TX

1

4900.

Melbourne-Titusville-Cocoa-Palm Bay, FL

0

4040.

Lansing-E. Lansing, MI

1

3361.

Brazoria, TX

0

6895.

Rocky Mount, NC

1

3960.

Lake Charles, LA

1

1010.

Bismarck,ND

0

5601.

Nassau Co, NY

2

1601.

Aurora-Elgin, IL

0

4840.

Mayaguez, PR

0

1720.

Colorado Springs, CO

1

8360.

Texarkana, TX/AR

0

720.

Baltimore, MD

0

2120.

Des Moines, IA

1

1080.

Boise City, ID

1

600.

Augusta-Aiken, GA-SC

0

9340.

Yuba City, CA

1

160.

Albany-Schenectady-Troy, NY

0

7680.

Shreveport, LA

0

2330.

Elmira, NY

0

220.

Alexandria, LA

0

8140.

Sumter, SC

0

8730.

Ventura-Oxnard-Simi Valley, CA

3

3200.

Hamilton-Middleton, OH

1

6450.

Portsmouth-Dover-Rochester, NH/ME

0

3040.

Great Falls, MT

0

2880.

Gadsden, AL

0

640.

Austin, TX

1

1040.

Bloomington-Normal, IL

1

8750.

Victoria, TX

0

2900.

Gainesville, FL

1

6480.

Providence-Fall River-Pawtucket, MA/RI

0

7140.

Salisbury-Concord, NC

0

320.

Amarillo, TX

0

8780.

Visalia-Tulare-Porterville, CA

3

5560.

New Orleans, LA

1

5350.

Nashua, NH

0

8000.

Springfield-Holyoke-Chicopee, MA

0

8600.

Tuscaloosa, AL

0

2320.

Elkhart-Goshen, IN

0

1680.

Cleveland, OH

0

870.

Benton Harbor, MI

0

5603.

Jersey City, NJ

0

6961.

Bay City, MI

0

7490.

Santa Fe, NM

0

7361.

Oakland, CA

1

4150.

Lawrence, KS

0

8050.

State College, PA

1

1921.

Fort Worth-Arlington, TX

1

4240.

Lewiston-Auburn, ME

0

8960.

West Palm Beach-Boca Raton-Delray Beach, FL

5

3660.

Johnson City-Kingsport-Bristol, TN/VA

0

3620.

Janesville-Beloit, WI

0

7440.

San Juan-Bayamon, PR

0

4680.

Macon-Warner Robins, GA

0

8940.

Wausau, WI

0

7840.

Spokane, WA

0

6780.

Riverside-San Bernardino,CA

2

5605.

Newark, NJ

3

5360.

Nashville, TN

0

7000.

St. Joseph, MO

0

5800.

Odessa, TX

0

1800.

Columbus, GA/AL

0

6020.

Parkersburg-Marietta,WV/OH

0

3920.

Lafayette-W. Lafayette, IN

1

2650.

Florence, AL

0

5790.

Ocala, FL

0

1540.

Charlottesville, VA

0

3740.

Kankakee, IL

0

5520.

New London-Norwich, CT/RI

0

2980.

Goldsboro, NC

2

7620.

Sheboygan, WI

0

8840.

Washington, DC/MD/VA

5

6460.

Poughkeepsie, NY

0

6960.

Saginaw-Bay City-Midland, MI

0

6481.

Fall River, MA/RI

0

1281.

Niagara Falls, NY

0

1620.

Chico, CA

2

4360.

Lincoln, NE

0

5240.

Montgomery, AL

0

6680.

Reading, PA

1

1150.

Bremerton, WA

0

2340.

Enid, OK

0

3121.

Winston-Salem, NC

0

3440.

Huntsville, AL

0

4720.

Madison, WI

4

7362.

Vallejo-Fairfield-Napa, CA

5

6280.

Pittsburgh-Beaver Valley, PA

0

4440.

Lorain-Elyria, OH

0

5320.

Muskegon-Norton Shores-Muskegon Heights, MI

0

2081.

Boulder-Longmont, CO

0

3010.

Grand Junction, CO

0

5722.

Norfolk- VA Beach-Portsmouth

0

4320.

Lima, OH

0

3800.

Kenosha, WI

0

4600.

Lubbock, TX

0

6820.

Rochester, MN

0

860.

Bellingham, WA

0

6400.

Portland, ME

0

8520.

Tucson, AZ

1

6980.

St. Cloud, MN

0

1560.

Chattanooga, TN/GA

0

2600.

Fitchburg-Leominster, MA

0

3300.

Hattiesburg, MS

0

1840.

Columbus, OH

0

6760.

Richmond-Petersburg, VA

1

8200.

Tacoma, WA

1

5080.

Milwaukee, WI

0

2281.

Dutchess Co., NY

0

7400.

San Jose, CA

2

4890.

Medford, OR

1

2840.

Fresno, CA

7

2760.

Fort Wayne, IN

0

1000.

Birmingham, AL

0

1350.

Casper, WY

0

4400.

Little Rock-North Little Rock, AR

1

5160.

Mobile, AL

0

7240.

San Antonio, TX

1

1240.

Brownsville-Harlingen-San Benito, TX

0

5482.

New Haven, CT

0

3610.

Jamestown-Dunkirk, NY

0

2290.

Eau Claire, WI

0

8560.

Tulsa, OK

0

5481.

Meriden

0

1740.

Columbia, MO

0

9280.

York, PA

0

3600.

Jacksonville, NC

0

3870.

LaCrosse, WI

0

5190.

Monmouth-Ocean, NJ

0

2040.

Decatur, IL

0

5602.

Bergen-Passaic, NJ

0

6200.

Phoenix, AZ

5

8080.

Steubenville-Weirton,OH/WV

0

6520.

Provo-Orem, UT

0

8280.

Tampa-St. Petersburg-Clearwater, FL

4

2001.

Springfield, OH

0

1600.

Chicago-Gary-Lake, IL

5

2160.

Detroit, MI

5

5280.

Muncie, IN

1

5950.

Orange, NY

0

3400.

Huntington-Ashland, WV/KY/OH

0

7161.

Ogden

0

5910.

Olympia, WA

0

3980.

Lakeland-Winterhaven, FL

0

6641.

Durham, NC

0

7500.

Santa Rosa-Petaluma, CA

2

4080.

Laredo, TX

0

1760.

Columbia, SC

0

1960.

Davenport, IA Rock Island-Moline, IL

0

1160.

Bridgeport, CT

0

2700.

Fort Myers-Cape Coral, FL

0

7920.

Springfield, MO

1

7800.

South Bend-Mishawaka, IN

0

1660.

Clarksville-Hopkinsville, TN/KY

0

730.

Bangor, ME

0

4200.

Lawton, OK

0

2310.

El Paso, TX

0

680.

Bakersfield, CA

7

7880.

Springfield, IL

0

1580.

Cheyenne, WY

0

6781.

San Bernardino, CA

0

3283.

New Britain, CT

0

9140.

Williamsport, PA

0

3240.

Harrisburg-Lebanon-Carlisle, PA

1

3080.

Green Bay, WI

0

80.

Akron, OH

1

4800.

Mansfield, OH

0

6580.

Punta Gorda, FL

0

3320.

Honolulu, HI

2

5000.

Miami-Hialeah, FL

3

6660.

Rapid City, SD

0

8160.

Syracuse, NY

2

2670.

Fort Collins-Loveland, CO

1

7320.

San Diego, CA

3

6441.

Vancouver, WA

0

1330.

Caguas, PR

0

6120.

Peoria, IL

0

5660.

Newburgh-Middletown, NY

0

8680.

Utica-Rome, NY

2

2121.

Polk, IA

0

5040.

Midland, TX

0

2440.

Evansville, IN/KY

0

4480.

Los Angeles-Long Beach, CA

7

4100.

Las Cruces, NM

0

8400.

Toledo, OH/MI

1

6600.

Racine, WI

0

5200.

Monroe, LA

0

1930.

Danbury, CT

0

1360.

Cedar Rapids, IA

0

5460.

New Brunswick-Perth Amboy-Sayreville, NJ

0

1260.

Bryan-College Station, TX

1

7460.

San Luis Obispo-Atascad-P Robles, CA

1

3720.

Kalamazoo-Portage, MI

0

1900.

Cumberland, MD/WV

0

5760.

Norwalk, CT

0

7560.

Scranton-Wilkes-Barre, PA

1

4280.

Lexington-Fayette, KY

0

Summary Statistics: StDev 3253.5013626705804; Min. 0.0; Valid 471.0; Mean 2820.458598726114; Max. 9360.0;

Variable Format: numeric

Notes: UNF:6:gcZFBX8+I5nq03NpU0jotQ==

Public Use Microdata Area

f5791238 Location:

Summary Statistics: Max. 8200.0; Mean 1872.0; Min. 100.0; Valid 471.0; StDev 1687.066202083595;

Variable Format: numeric

Notes: UNF:6:dLa3uZP6uaAhc5TVLWbvaw==

Person weight

f5791238 Location:

Summary Statistics: Max. 78.0; Valid 471.0; Mean 17.983014861995755; StDev 11.134560354837696; Min. 2.0

Variable Format: numeric

Notes: UNF:6:M4b/d33buO+Vx9umd4Y/Bg==

Age

f5791238 Location:

Value

Label

Frequency

Text

108.

108

0

101.

101

0

68.

68

0

106.

106

0

64.

64

4

125.

125

0

5.

5

0

123.

123

0

34.

34

17

37.

37

6

122.

122

0

43.

43

16

26.

26

11

53.

53

8

71.

71

0

12.

12

0

57.

57

9

56.

56

7

76.

76

0

28.

28

11

19.

19

8

78.

78

0

110.

110

0

1.

1

0

36.

36

13

126.

126

0

40.

40

7

10.

10

0

60.

60

9

63.

63

6

135.

135

0

13.

13

0

30.

30

7

62.

62

1

100.

100 (100+ in 1970)

0

94.

94

0

124.

124

0

93.

93

0

22.

22

8

102.

102

0

114.

114

0

77.

77

0

39.

39

14

7.

7

0

73.

73

0

25.

25

3

23.

23

5

79.

79

0

92.

92

0

50.

50

8

55.

55

8

129.

129

0

24.

24

10

66.

66

0

85.

85

0

17.

17

8

118.

118

0

61.

61

8

46.

46

11

69.

69

0

15.

15

0

105.

105

0

3.

3

0

2.

2

0

8.

8

0

45.

45

13

109.

109

0

42.

42

14

75.

75

0

20.

20

6

88.

88

0

65.

65

6

80.

80

0

14.

14

0

32.

32

13

18.

18

6

48.

48

18

67.

67

0

9.

9

0

87.

87

0

29.

29

6

121.

121

0

0.

Less than 1 year old

0

16.

16

0

38.

38

11

59.

59

7

119.

119

0

52.

52

12

33.

33

8

112.

112 (112+ in the 1980 internal data)

0

107.

107

0

99.

99

0

96.

96

0

116.

116

0

83.

83

0

103.

103

0

97.

97

0

82.

82

0

86.

86

0

54.

54

3

70.

70

0

98.

98

0

81.

81

0

44.

44

16

41.

41

11

58.

58

4

84.

84

0

89.

89

0

74.

74

0

130.

130

0

11.

11

0

117.

117

0

113.

113

0

27.

27

14

47.

47

17

51.

51

13

111.

111

0

120.

120

0

91.

91

0

104.

104

0

49.

49

20

31.

31

9

72.

72

0

6.

6

0

90.

90 (90+ in 1980 and 1990)

0

95.

95

0

4.

4

0

115.

115 (115+ in the 1990 internal data)

0

35.

35

12

21.

21

9

Summary Statistics: StDev 12.364024303880393; Valid 471.0; Min. 17.0; Max. 65.0; Mean 40.55201698513801

Variable Format: numeric

Notes: UNF:6:62r9SVcdoIUWCpx/Igb7BQ==

Hispanic origin [detailed version]

f5791238 Location:

Value

Label

Frequency

Text

106.

Mexican American Indian

0

300.

Cuban

1

458.

Canarian

0

411.

Costa Rican

0

416.

Salvadoran

0

421.

Bolivian

0

456.

Gallego

0

493.

Spanish American

0

455.

Balearic Islander

0

0.

Not Hispanic

397

430.

Criollo

0

415.

Panamanian

0

494.

Spanish American Indian

0

453.

Castillian

0

429.

South American Indian

0

454.

Catalonian

0

424.

Ecuadorian

0

480.

Spanish

0

200.

Puerto Rican

4

470.

Hispanic

0

105.

La Raza

0

413.

Honduran

0

103.

Mexicano/Mexicana

0

428.

Venezuelan

1

460.

Dominican

0

423.

Colombian

1

492.

Nuevo Mexicano

0

420.

Argentinean

1

414.

Nicaraguan

0

425.

Paraguayan

0

495.

Meso American Indian

0

498.

Other, n.s.

6

104.

Chicano/Chicana

0

491.

Tejano

0

457.

Valencian

0

451.

Andalusian

0

431.

South American, n.e.c.

0

450.

Spaniard

0

426.

Peruvian

1

459.

Spanish Basque

0

417.

Central American, n.e.c.

0

499.

Other, n.e.c.

0

422.

Chilean

1

490.

Californio

0

465.

Latin American

0

452.

Asturian

0

401.

Central American Indian

0

100.

Mexican

57

900.

Not Reported

0

412.

Guatemalan

1

107.

Mexico

0

102.

Mexican American

0

427.

Uruguayan

0

402.

Canal Zone

0

496.

Mestizo

0

Summary Statistics: Valid 471.0; Min. 0.0; Max. 498.0; StDev 80.60459949094454; Mean 26.154989384288726;

Variable Format: numeric

Notes: UNF:6:2OVT11k3EcgFy8Vuy+5B1Q==

Industry, 1990 basis

f5791238 Location:

Value

Label

Frequency

Text

110.

Grain mill products

0

251.

Cement, concrete, gypsum, and plaster products

1

32.

Fishing, hunting, and trapping�

6

231.

Sawmills, planing mills, and millwork

0

632.

Household appliance stores

0

190.

Paints, varnishes, and related products

0

880.

Religious organizations

0

700.

Banking

6

560.

Alcoholic beverages

0

999.

DID NOT RESPOND

0

840.

Health services, n.e.c.

0

551.

Farm-product raw materials

0

410.

Trucking service

0

622.

Miscellaneous vehicle dealers

0

890.

Accounting, auditing, and bookkeeping services

0

782.

Shoe repair shops

0

941.

Air Force

0

581.

Hardware stores

0

381.

Watches, clocks, and clockwork operated devices

0

291.

Metal forgings and stampings

0

472.

Utilities, n.s.�

0

801.

Video tape rental

0

392.

Manufacturing industries, n.s.�

0

841.

Legal services

0

152.

Miscellaneous fabricated textile products

0

0.

N/A (not applicable)�

0

220.

Leather tanning and finishing

0

721.

Advertising

0

191.

Agricultural chemicals

0

111.

Bakery products

1

863.

Family child care homes

0

432.

Services incidental to transportation

2

280.

Other primary metal industries

0

810.

Miscellaneous entertainment and recreation services�

0

172.

Printing, publishing, and allied industries, except newspapers

4

211.

Other rubber products, and plastics footwear and belting

0

182.

Soaps and cosmetics

0

633.

Radio, TV, and computer stores

0

351.

Motor vehicles and motor vehicle equipment

0

873.

Labor unions

0

331.

Machinery, except electrical, n.e.c.

0

120.

Beverage industries

0

511.

Metals and minerals, except petroleum

0

770.

Lodging places, except hotels and motels

0

580.

Lumber and building material retailing

1

612.

Motor vehicle dealers

0

242.

Furniture and fixtures

0

893.

Miscellaneous professional and related services�

0

322.

Computers and related equipment

0

762.

Hotels and motels

0

821.

Offices and clinics of chiropractors

0

732.

Computer and data processing services

0

230.

Logging

0

571.

Wholesale trade, n.s.�

0

931.

Administration of economic programs

0

441.

Telephone communications

0

250.

Glass and glass products

1

320.

Metalworking machinery

0

623.

Apparel and accessory stores, except shoe

0

20.

Landscape and horticultural services

17

440.

Radio and television broadcasting and cable

0

221.

Footwear, except rubber and plastic

0

412.

U.S. Postal Service

4

530.

Machinery, equipment, and supplies

0

812.

Offices and clinics of physicians

1

512.

Electrical goods

0

502.

Lumber and construction materials

0

200.

Petroleum refining

0

241.

Miscellaneous wood products

0

661.

Gift, novelty, and souvenir shops

0

60.

All construction�

34

112.

Sugar and confectionery products

1

531.

Scrap and waste materials

0

500.

Motor vehicles and equipment

1

871.

Social services, n.e.c.

0

582.

Retail nurseries and garden stores

0

710.

Security, commodity brokerage, and investment companies

0

140.

Dyeing and finishing textiles, except wool and knit goods

0

610.

Retail bakeries

0

341.

Radio, TV, and communication equipment

0

162.

Paperboard containers and boxes

0

352.

Aircraft and parts

0

232.

Wood buildings and mobile homes

0

171.

Newspaper publishing and printing

0

742.

Automotive rental and leasing, without drivers

0

292.

Ordnance

0

310.

Engines and turbines

0

340.

Household appliances

0

12.

Veterinary services

13

722.

Services to dwellings and other buildings

0

40.

Metal mining

14

630.

Shoe stores

0

150.

Miscellaneous textile mill products

0

270.

Blast furnaces, steelworks, rolling and finishing mills

0

602.

Dairy products stores

0

701.

Savings institutions, including credit unions

0

402.

Taxicab service

0

210.

Tires and inner tubes

0

822.

Offices and clinics of optometrists

0

842.

Elementary and secondary schools

2

600.

Miscellaneous general merchandise stores

0

101.

Dairy products

0

952.

Armed Forces, branch not specified

0

390.

Toys, amusement, and sporting goods

1

741.

Business services, n.e.c.

0

151.

Apparel and accessories, except knit

0

691.

Retail trade, n.s.�

0

760.

Miscellaneous repair services�

0

781.

Funeral service and crematories

0

751.

Automotive repair and related services

0

161.

Miscellaneous paper and pulp products

0

671.

Direct selling establishments

0

420.

Water transportation

0

10.

Agricultural production, crops

289

360.

Ship and boat building and repairing

0

951.

Coast Guard

0

832.

Nursing and personal care facilities

0

590.

Mobile home dealers

0

371.

Scientific and controlling instruments

0

681.

Retail florists

0

672.

Fuel dealers

0

261.

Pottery and related products

0

201.

Miscellaneous petroleum and coal products

0

300.

Miscellaneous fabricated metal products

0

370.

Cycles and miscellaneous transportation equipment

0

791.

Miscellaneous personal services�

1

652.

Book and stationery stores

0

141.

Carpets and rugs

0

802.

Bowling centers

0

31.

Forestry

3

660.

Jewelry stores

0

281.

Cutlery, handtools, and general hardware

0

910.

Justice, public order, and safety

0

521.

Hardware, plumbing and heating supplies

0

501.

Furniture and home furnishings

0

750.

Automobile parking and carwashes

0

901.

General government, n.e.c.

5

651.

Sporting goods, bicycles, and hobby stores

0

100.

Meat products

1

882.

Engineering, architectural, and surveying services

0

861.

Job training and vocational rehabilitation services

0

860.

Educational services, n.e.c.

0

271.

Iron and steel foundries

0

222.

Leather products, except footwear

0

181.

Drugs

0

550.

Groceries and related products

0

121.

Misc. food preparations and kindred products

0

451.

Gas and steam supply systems

0

30.

Agricultural services, n.e.c.

0

851.

Vocational schools

0

470.

Water supply and irrigation

0

212.

Miscellaneous plastics products

0

950.

Marines

0

960.

Military Reserves or National Guard�

0

922.

Administration of human resources programs

0

422.

Pipe lines, except natural gas

0

932.

National security and international affairs�

0

442.

Telegraph and miscellaneous communications services

0

850.

Colleges and universities

0

662.

Sewing, needlework, and piece goods stores

0

631.

Furniture and home furnishings stores

0

510.

Professional and commercial equipment and supplies

0

711.

Insurance

1

361.

Railroad locomotives and equipment

0

350.

Electrical machinery, equipment, and supplies, n.s.

0

11.

Agricultural production, livestock

25

41.

Coal mining

2

862.

Child day care services

0

870.

Residential care facilities, without nursing

0

362.

Guided missiles, space vehicles, and parts

1

852.

Libraries

0

881.

Membership organizations, n.e.c.

0

641.

Eating and drinking places

0

132.

Knitting mills

0

942.

Navy

0

591.

Department stores

0

541.

Drugs, chemicals, and allied products

0

800.

Theaters and motion pictures

0

831.

Hospitals

0

471.

Sanitary services

0

332.

Machinery, n.s.

0

740.

Detective and protective services

0

682.

Miscellaneous retail stores

0

122.

Food industries, n.s.

0

42.

Oil and gas extraction

17

142.

Yarn, thread, and fabric mills

0

891.

Research, development, and testing services

0

102.

Canned, frozen, and preserved fruits and vegetables

1

321.

Office and accounting machines

0

311.

Farm machinery and equipment

0

712.

Real estate, including real estate-insurance offices�

2

282.

Fabricated structural metal products

0

180.

Plastics, synthetics, and resins

0

752.

Electrical repair shops

0

772.

Beauty shops

0

301.

Metal industries, n.s.

0

562.

Miscellaneous wholesale, nondurable goods

0

552.

Petroleum products

0

391.

Miscellaneous manufacturing industries

2

731.

Personnel supply services

0

611.

Food stores, n.e.c.

0

830.

Offices and clinics of health practitioners, n.e.c.

0

992.

Last worked 1984 or earlier

0

790.

Dressmaking shops

0

452.

Electric and gas, and other combinations

0

312.

Construction and material handling machines

0

663.

Catalog and mail order houses

0

702.

Credit agencies, n.e.c.

0

761.

Private households

0

621.

Gasoline service stations

0

820.

Offices and clinics of dentists

0

192.

Industrial and miscellaneous chemicals

2

620.

Auto and home supply stores

0

160.

Pulp, paper, and paperboard mills

0

342.

Electrical machinery, equipment, and supplies, n.e.c.

0

642.

Drug stores

0

450.

Electric light and power

1

561.

Farm supplies

0

50.

Nonmetallic mining and quarrying, except fuels�

4

780.

Barber shops

0

601.

Grocery stores

0

130.

Tobacco manufactures

0

940.

Army

0

670.

Vending machine operators

0

272.

Primary aluminum industries

0

411.

Warehousing and storage

0

542.

Apparel, fabrics, and notions

0

921.

Public finance, taxation, and monetary policy

0

401.

Bus service and urban transit

0

421.

Air transportation

0

372.

Medical, dental, and optical instruments and supplies

1

540.

Paper and paper products

1

650.

Liquor stores

0

872.

Museums, art galleries, and zoos

0

640.

Music stores

0

290.

Screw machine products

0

771.

Laundry, cleaning, and garment services

0

262.

Misc. nonmetallic mineral and stone products

0

380.

Photographic equipment and supplies

0

930.

Administration of environmental quality and housing programs

0

532.

Miscellaneous wholesale, durable goods

0

892.

Management and public relations services

0

592.

Variety stores

0

400.

Railroads

2

252.

Structural clay products

0

900.

Executive and legislative offices

0

Summary Statistics: Valid 471.0; StDev 166.10409812636743; Min. 10.0; Max. 901.0; Mean 65.72186836518036;

Variable Format: numeric

Notes: UNF:6:JwjgFoxnl/1ePoA+oLddXQ==

Occupation, SOC classification

f5791238 Location:

Variable Format: character

Notes: UNF:6:c3a8DDfLoe7BLOJ/IZyq5Q==

Weeks worked last year

f5791238 Location:

Summary Statistics: Min. 1.0; StDev 14.81873156101667; Mean 42.813163481953296; Valid 471.0; Max. 52.0

Variable Format: numeric

Notes: UNF:6:Btrr8Gf+fcTFnHKl+crMxw==

Usual hours worked per week

f5791238 Location:

Summary Statistics: Mean 42.02972399150743; Valid 471.0; StDev 14.626672216756004; Max. 99.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:jWG5Of9E31erzNkW7b9PJQ==

flag_occmissing

f5791238 Location:

Summary Statistics: Valid 471.0; Min. 0.0; Max. 0.0; StDev 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:CFTfwGKuNNpVBS7eMGwELQ==

flag_edumissing

f5791238 Location:

Summary Statistics: Mean 0.0; Max. 0.0; Min. 0.0; Valid 471.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:CFTfwGKuNNpVBS7eMGwELQ==

flag_bplmissing

f5791238 Location:

Summary Statistics: Max. 0.0; Min. 0.0; Mean 0.0; StDev 0.0; Valid 471.0;

Variable Format: numeric

Notes: UNF:6:CFTfwGKuNNpVBS7eMGwELQ==

flag_gq5

f5791238 Location:

Summary Statistics: Mean 0.004246284501061572; Valid 471.0; Min. 0.0; Max. 1.0; StDev 0.06509416143700518;

Variable Format: numeric

Notes: UNF:6:z329yCsD34Ie4mcCNVoKoA==

flag_gqall

f5791238 Location:

Summary Statistics: Valid 471.0; StDev 0.07963870169690482; Max. 1.0; Min. 0.0; Mean 0.006369426751592359

Variable Format: numeric

Notes: UNF:6:tZ8zJsf8nAQ/0jEX2b5Q1A==

flag_gqcoll

f5791238 Location:

Summary Statistics: Min. 0.0; Valid 471.0; Mean 0.010615711252653905; Max. 1.0; StDev 0.1025932004272596

Variable Format: numeric

Notes: UNF:6:Wo1Kc4gigRORjsnhUMkxvQ==

hrwage

f5791238 Location:

Summary Statistics: Max. 150.0; StDev 14.511709996856148; Mean 15.762835257344955; Min. 2.1710526943206787; Valid 417.0

Variable Format: numeric

Notes: UNF:6:OodJLZViMr9v4RWMsIPrTw==

wkwage

f5791238 Location:

Summary Statistics: Mean 649.8475236320951; Max. 10800.0; Min. 35.0; Valid 417.0; StDev 697.9501307294281

Variable Format: numeric

Notes: UNF:6:J2ft2w0ArhZFKR3R3+NUxQ==

real_hrwage

f5791238 Location:

Summary Statistics: Valid 417.0; Min. 2.7023158073425293; Mean 19.62004763731281; Max. 186.7054443359375; StDev 18.062768404463203;

Variable Format: numeric

Notes: UNF:6:zUXyXI76l03YubVnmVNPcA==

real_wkwage

f5791238 Location:

Summary Statistics: Mean 808.8671334172891; StDev 868.74059299145; Max. 13442.7919921875; Valid 417.0; Min. 43.56460189819336;

Variable Format: numeric

Notes: UNF:6:nRsQx9rj9giU/ygQGNIWYA==

ln_hrwage

f5791238 Location:

Summary Statistics: Valid 417.0; StDev 0.6432373920967962; Min. 0.9941090941429138; Max. 5.229532241821289; Mean 2.7549001627402907

Variable Format: numeric

Notes: UNF:6:rb/0W6AwoMpSjTZa8Sjy+w==

ln_wkwage

f5791238 Location:

Summary Statistics: Max. 9.506197929382324; Mean 6.408929161030611; Min. 3.774245023727417; StDev 0.7749790235573428; Valid 417.0

Variable Format: numeric

Notes: UNF:6:oLS6VQwsPQZguY/TMuweoA==

ln_wkwageftfy

f5791238 Location:

Summary Statistics: Mean 6.627344696981865; Min. 4.54945707321167; Valid 285.0; Max. 8.131235122680664; StDev 0.5804029679552336;

Variable Format: numeric

Notes: UNF:6:gFHPZsm9A/qEzHCKk+VZMg==

female

f5791238 Location:

Summary Statistics: Mean 0.3545647558386412; Max. 1.0; Valid 471.0; StDev 0.4788898637983707; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:78dGPywND/tEfwH5asm/+w==

race_nonwhite

f5791238 Location:

Summary Statistics: StDev 0.3028526790750409; Min. 0.0; Valid 471.0; Mean 0.10191082802547773; Max. 1.0

Variable Format: numeric

Notes: UNF:6:I/DdQWV/kvxtW/qG5WMrhQ==

ed_0

f5791238 Location:

Summary Statistics: Min. 0.0; StDev 0.13705120550834843; Valid 471.0; Mean 0.019108280254776996; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:vVsaO4vuWOm3SyGjx7mOoQ==

ed_1_4

f5791238 Location:

Summary Statistics: Max. 0.0; StDev 0.0; Mean 0.0; Min. 0.0; Valid 471.0

Variable Format: numeric

Notes: UNF:6:CFTfwGKuNNpVBS7eMGwELQ==

ed_5_8

f5791238 Location:

Summary Statistics: Max. 1.0; Mean 0.07006369426751607; Min. 0.0; StDev 0.25552573293061404; Valid 471.0

Variable Format: numeric

Notes: UNF:6:JXIFC5IjGVptlg2a55180w==

ed_9

f5791238 Location:

Summary Statistics: StDev 0.16400044732463798; Max. 1.0; Valid 471.0; Mean 0.027600849256900133; Min. 0.0

Variable Format: numeric

Notes: UNF:6:2De1bzdf0+YmdNOdpIeXFw==

ed_10

f5791238 Location:

Summary Statistics: StDev 0.18134530118958334; Min. 0.0; Mean 0.033970276008492575; Valid 471.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:+n0/GU6fuWSEv+5Bx4G8vA==

ed_11

f5791238 Location:

Summary Statistics: StDev 0.17000540741647782; Max. 1.0; Min. 0.0; Mean 0.029723991507430866; Valid 471.0

Variable Format: numeric

Notes: UNF:6:8rymrfv+SMIOS7Bqaewx6Q==

ed_12

f5791238 Location:

Summary Statistics: Mean 0.29511677282377957; StDev 0.4565801846976057; Max. 1.0; Min. 0.0; Valid 471.0;

Variable Format: numeric

Notes: UNF:6:JKDzhXUuE5/DxgB98VgI6g==

ed_13_15

f5791238 Location:

Summary Statistics: Valid 471.0; Min. 0.0; StDev 0.44855502245245454; Mean 0.278131634819533; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:aho0GZRzxNV5MAmOYNYJPg==

ed_16

f5791238 Location:

Summary Statistics: Valid 471.0; Max. 1.0; Min. 0.0; Mean 0.16348195329087084; StDev 0.3701980194568763

Variable Format: numeric

Notes: UNF:6:zZ4ilGTmZ/m5eUsgX3Es3A==

ed_17up

f5791238 Location:

Summary Statistics: Min. 0.0; Mean 0.08280254777070048; Valid 471.0; Max. 1.0; StDev 0.2758765551757232

Variable Format: numeric

Notes: UNF:6:Ib4eMcIhK/St+VDqp/IExg==

edyrs

f5791238 Location:

Summary Statistics: StDev 3.200485670059187; Mean 12.828025357991521; Valid 471.0; Max. 17.829999923706055; Min. 0.0

Variable Format: numeric

Notes: UNF:6:M9I2OhG3ygxAZR2TSrUJ/g==

exp

f5791238 Location:

Summary Statistics: Max. 47.01000213623047; StDev 12.260954562137767; Min. 0.0; Valid 471.0; Mean 21.319257074100953

Variable Format: numeric

Notes: UNF:6:sW2HL31nXDDqr2iuNuUWvg==

exp2

f5791238 Location:

Summary Statistics: Min. 0.0; Valid 471.0; Mean 604.5225537291249; Max. 2209.940185546875; StDev 548.169919317201

Variable Format: numeric

Notes: UNF:6:n88b3wIKDPPUgz4h6QwCFw==

exp3

f5791238 Location:

Summary Statistics: Mean 19308.124938479872; Max. 103889.296875; Valid 471.0; StDev 23378.269583306617; Min. 0.0

Variable Format: numeric

Notes: UNF:6:wN/mfTiyhBBBhrdBuoQFhw==

exp4

f5791238 Location:

Summary Statistics: Valid 471.0; Mean 665299.7972449762; StDev 1000697.8423708833; Min. 0.0; Max. 4883836.0

Variable Format: numeric

Notes: UNF:6:AlGz+xns9qY9i6BZJRwuNg==

yr

f5791238 Location:

Summary Statistics: Mean 2000.0; Max. 2000.0; Min. 2000.0; StDev 0.0; Valid 471.0;

Variable Format: numeric

Notes: UNF:6:eZLsBHffwXj05ExVFDDF+w==

(mean) ind7090

f5791238 Location:

Summary Statistics: StDev 165.35237269371387; Min. 11.0; Max. 901.0; Valid 471.0; Mean 66.47133757961774

Variable Format: numeric

Notes: UNF:6:a8xvHIepv3mvQIUAZCtxlw==

(mean) ind8090

f5791238 Location:

Summary Statistics: Mean 65.85562632696396; StDev 165.55507011128924; Max. 901.0; Min. 10.0; Valid 471.0

Variable Format: numeric

Notes: UNF:6:xJSkNjrZvBtqCb2cYULLFA==

ind6090

f5791238 Location:

Summary Statistics: StDev 165.62602004397476; Min. 16.0; Mean 70.56263269639084; Max. 901.0; Valid 471.0

Variable Format: numeric

Notes: UNF:6:0XkXrVeVxphB0PpnP1Y5nw==

ISCO88 4 digit

f5791238 Location:

Summary Statistics: Valid 469.0; StDev 2483.8738542432307; Min. 1110.0; Mean 5047.643923240932; Max. 9999.0

Variable Format: numeric

Notes: UNF:6:YHKQr0ryowHJoSTp/8OQdg==

nr_2011

f5791238 Location:

Summary Statistics: Valid 471.0; StDev 0.5329773177965336; Max. 1.841766357421875; Min. -1.6084915399551392; Mean 0.07568042204714354;

Variable Format: numeric

Notes: UNF:6:sEdlCBgGOzFrzdv83cgYzw==

r_2011

f5791238 Location:

Summary Statistics: Valid 471.0; Mean 0.06634838315438349; StDev 0.892317919700976; Max. 3.0497586727142334; Min. -3.0948989391326904

Variable Format: numeric

Notes: UNF:6:mQbgvg8ognyqvQszigPWhg==

Sequential Record Identifier (Added by ICPSR)

f5791240 Location:

Summary Statistics: StDev 1218.353397007617; Valid 4220.0; Max. 4220.0; Min. 1.0; Mean 2110.5;

Variable Format: numeric

Notes: UNF:6:A3TRtwATAlq0jxR2l0DWfA==

Regional Block

f5791240 Location:

Value

Label

Frequency

Text

4.

Kinki

627

5.

Cyugoku or Shikoku

427

1.

Hokkaido or Tohoku

563

3.

Chubu

905

2.

Kanto

1190

6.

Kyusyu

508

Summary Statistics: Mean 3.1632701421800946; StDev 1.5576544798376935; Max. 6.0; Valid 4220.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:nfcqSSbndO94KxUBzC/jTg==

Prefecture Name

f5791240 Location:

Value

Label

Frequency

Text

24.

Mie

76

16.

Toyama

46

3.

Iwate

44

4.

Miyagi

109

14.

Kanagawa

243

46.

Kagoshima

65

21.

Gifu

75

26.

Kyoto

90

42.

Nagasaki

62

35.

Yamaguchi

73

10.

Gunma

67

44.

Oita

63

6.

Yamagata

47

11.

Saitama

215

15.

Niigata

119

33.

Okayama

80

36.

Tokushima

38

25.

Shiga

55

47.

Okinawa

43

7.

Fukushima

58

13.

Tokyo

282

41.

Saga

16

45.

Miyazaki

38

30.

Wakayama

24

12.

Chiba

189

18.

Fukui

42

40.

Fukuoka

182

39.

Kochi

38

20.

Nagano

78

27.

Osaka

246

43.

Kumamoto

39

2.

Aomori

62

38.

Ehime

44

23.

Aichi

233

17.

Ishikawa

44

29.

Nara

52

8.

Ibaraki

102

19.

Yamanashi

35

9.

Tochigi

92

22.

Shizuoka

157

31.

Tottori

21

1.

Hokkaido

207

34.

Hiroshima

86

37.

Kagawa

38

28.

Hyogo

160

5.

Akita

36

32.

Shimane

9

Summary Statistics: Min. 1.0; Max. 47.0; StDev 12.422362577936477; Mean 20.854265402843602; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:eSkf4CRQygFyYUaeFuot4w==

Size of Municipality

f5791240 Location:

Value

Label

Frequency

Text

4.

Town/village

516

3.

Cities with population of less than 200000

1780

1.

Largest cities

900

2.

Cities with population of 200000 or more

1024

Summary Statistics: Min. 1.0; Valid 4220.0; Max. 4.0; StDev 0.9587003765983185; Mean 2.4530805687203783;

Variable Format: numeric

Notes: UNF:6:Chy5wBV93Ye+UUpRGJHF0w==

Sex

f5791240 Location:

Value

Label

Frequency

Text

1.

Male

1986

2.

Female

2234

Summary Statistics: Mean 1.529383886255924; Min. 1.0; StDev 0.4991949902870098; Valid 4220.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:Xq7fKjCx/xodHIjr+xkSLA==

Age

f5791240 Location:

Value

Label

Frequency

Text

4.

40-49 years

685

1.

10-19 years

0

0.

0-9 years

0

7.

70-79 years

588

3.

30-39 years

691

9.

90-99 years

0

5.

50-59 years

841

8.

80-89 years

172

6.

60-69 years

833

10.

100+ years

0

2.

20-29 years

410

Summary Statistics: Valid 4220.0; StDev 1.6674719084687397; Max. 8.0; Mean 4.817061611374409; Min. 2.0

Variable Format: numeric

Notes: UNF:6:rvWCagU07hOkzJ3wXPAELg==

Form of Self-administrated Questionnaire

f5791240 Location:

Value

Label

Frequency

Text

2.

Form B

2160

1.

Form A

2060

Summary Statistics: StDev 0.4999188326956702; Valid 4220.0; Max. 2.0; Mean 1.5118483412322279; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:mNVELG+e9frRnAkXbwrjnw==

Work Status

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

0

3.

I did not work.

1549

2.

I was going to work last week, but did not work.

53

1.

I worked last week.

2618

Summary Statistics: Min. 1.0; StDev 0.960983777662107; Valid 4220.0; Mean 1.7466824644549752; Max. 3.0

Variable Format: numeric

Notes: UNF:6:J3do/H4cy0F1dMJyzs018g==

Work Arrangement

f5791240 Location:

Value

Label

Frequency

Text

3.

Temporary worker

618

2.

Regular employee

1389

4.

Dispatched worker from temporary personnel agency

56

8.

Not applicable

1549

1.

Executive of a company or a corporation

166

6.

Family worker

124

7.

Don't know

2

5.

Self-employed

316

9.

No answer

0

Summary Statistics: Min. 1.0; Max. 8.0; Valid 4220.0; StDev 2.724943233927557; Mean 4.68056872037915

Variable Format: numeric

Notes: UNF:6:pnySZ4rP4K9BdHyy3YEvwg==

Job Title

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2831

7.

Don't know

6

6.

Other managerial post

12

4.

Section Head, Manager

159

3.

Sub-section Head

154

9.

No answer

11

5.

Department Head, General Manager

66

1.

No managerial post

864

2.

Group leader, Foreman

117

Summary Statistics: StDev 2.9609105509639226; Mean 6.0158767772511865; Min. 1.0; Valid 4220.0; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:B5MkNR6rNm0ppw/t3MuP+w==

Category of Establishment

f5791240 Location:

Value

Label

Frequency

Text

3.

Branch establishment

785

1.

Government agency

233

9.

No answer

37

4.

Headquarters or main establishment

367

8.

Not applicable

1549

2.

Independent establishment

1189

5.

Don't know

60

Summary Statistics: Min. 1.0; Valid 4220.0; Max. 9.0; StDev 2.7467525500226686; Mean 4.611137440758299

Variable Format: numeric

Notes: UNF:6:p8C0LPBnw4gViIelCXftTg==

Industry

f5791240 Location:

Value

Label

Frequency

Text

180.

Public administration

99

998.

Not applicable

1549

40.

Mining

2

10.

Agriculture

127

92.

Retail trade

323

20.

Forestry

4

80.

Transportation

136

190.

Industries not elsewhere classified

14

93.

Restaurants

111

60.

Manufacturing

540

91.

Wholesale trade

96

70.

Electricity, gas, steam supply, water works

25

150.

Educational and research services

123

160.

Legal and accounting services

27

120.

Broadcasting, publishing, advertising, film production

26

50.

Construction

178

30.

Fishery

16

170.

Other services

337

999.

No answer

14

100.

Financial institutions, insurance

65

140.

Medical and welfare services

294

110.

Real estate

38

130.

Information and communication services

76

Summary Statistics: Valid 4220.0; Max. 999.0; Min. 10.0; StDev 434.53930309525094; Mean 433.62156398104224;

Variable Format: numeric

Notes: UNF:6:CVPMab5XDqN+TZW3Pk6N4w==

Occupation

f5791240 Location:

Value

Label

Frequency

Text

504.

Architectural and civil engineers

21

508.

Medical doctors (physicians)

13

639.

Bicycle assemblers/maintenance workers

0

660.

Shoe makers/repairers, leather/leather goods makers

4

615.

Radio operators

0

514.

Nurses

61

621.

Stone cutters

1

683.

Railway track layers

0

704.

Manufacturing workers (not further specified)

8

577.

Other sales and sales-related workers

13

685.

Warehouse keepers, dockers

20

546.

Diet members

0

507.

Other engineers and technicians

5

592.

Other service workers

25

558.

Other office clerks

27

624.

Stone masons

0

618.

Mail carriers, telegraph deliverers

7

559.

Accounting clerks

89

632.

Metal soldering workers

7

517.

Judges, public prosecutors, lawyers

0

513.

Dieticians

2

662.

Lacquer painters, gold lacquer painters

1

669.

Toy makers

1

561.

Bill collectors

5

647.

Alcoholic beverage makers

1

532.

Photographers

0

544.

Other professional/technical occupations

9

595.

Firefighters

6

575.

Real estate agents/traders

13

547.

Local parliament members

1

548.

Chief executives

27

642.

Optical machine/precision machine assemblers/repairers

5

702.

Carpenters

26

666.

Seal carvers

0

565.

Computer and other similar equipment operators

7

690.

Landowners (before the Agrarian Reform)

0

652.

Sewers, cutters

14

584.

Flight attendants

0

533.

Musicians (excluding private music instructors)

2

554.

General affairs/planning clerks

346

599.

Agricultural/sericultural workers

108

687.

Garbage collectors

45

619.

Other communication workers

0

567.

Wholesale shop owners

6

643.

Grain refining/flour milling machine operators

0

557.

Sales clerks

47

594.

Police officers, Coast Guards and railroad security officers

7

574.

Insurance agents/door-to-door insurance sales persons

17

651.

Tailors (including kimono tailors)

5

536.

Veterinarians

1

670.

Drafters, technical drawers

6

999.

No answer

9

572.

Merchandise intermediary occupations

1

512.

Public health nurses

1

539.

Private instructors

25

607.

Automobile drivers

78

590.

Boarding house/apartment/residence/dormitory superintendents

15

589.

Inn owners/managers, hotel managers

2

552.

Postmasters, telegraph/telephone office chiefs

1

551.

Station masters

0

703.

Teachers (not further specified)

10

585.

Club hosts/club hostesses

3

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

5

701.

Supermarket and other shop cashiers

9

675.

Other stationary engine operators

5

648.

Silk mill operators and spinners

3

667.

Umbrella makers

0

671.

Projectionists

0

655.

Shipwrights

0

573.

Door-to-door sales (excluding insurance and real estate)

113

649.

Textile and weaving machine operators

3

629.

Chemical product makers

14

509.

Dentists

3

564.

Stenographers, typists, data-entry clerks

4

688.

Miscellaneous laborers

22

637.

Ship riggers (not elsewhere classified)

0

679.

Plasterers, scaffolding builders

10

705.

Company employees (not further specified)

0

638.

Aircraft assemblers/aircraft engine mechanics

2

627.

Pig iron/steel makers, smelters

5

524.

University professors

9

998.

Not applicable

1549

563.

Transportation clerks

4

568.

Restaurant owners

18

562.

Other outside-duty clerks

4

553.

Other managerial occupations

11

653.

Sawmill operators, woodworkers

8

516.

Other health care professionals

37

501.

Researchers in natural science

2

506.

Information technology engineers

37

556.

Shipping/sorting clerks

11

522.

Junior high school teachers

9

622.

Other quarry workers

0

543.

Librarians

1

527.

Religious professionals

7

503.

Mechanical, electrical and chemical engineers

36

588.

Other personal service workers

0

635.

Automobile assemblers/automobile mechanics

35

542.

Radio and television announcers

0

630.

Metal machine tool makers, platers, metal processors

23

650.

Bleachers, dyers

3

633.

General mechanical equipment assemblers/repairers

56

545.

Senior government officials

5

608.

Ships captains/navigators (not of fishing boat), boat pilots

1

534.

Actors, dancers (excluding private instructors)

3

549.

Senior officials of special-interest organizations

1

617.

Telephone operators

2

518.

Other legal professionals

2

598.

(pre-war) Professional military service persons

0

570.

Peddlers, hawkers, street stall keepers

2

611.

Conductors

1

540.

Real estate appraisers

0

581.

Cooks

67

668.

Bag makers

1

613.

Sailors

1

663.

Mounters, liners

4

519.

Certified public accountants, tax accountants

3

628.

Founders, casters, metal material makers

1

654.

Cabinet makers, furniture makers, joiners

9

678.

Construction work contractors

8

597.

Other protective service workers

4

596.

Prison guards, gatekeepers

10

520.

Kindergarten teachers

5

686.

Transportation laborers

25

656.

Bucket makers, wood/bamboo/leaf/vine product makers

3

576.

Pawnshop owners/clerks

0

676.

Power station/substation workers

1

644.

Bakers, cake/noodle/tofu makers

17

612.

Railway workers

0

672.

Other technical workers/production process workers

30

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

631.

Iron workers, sheet metal makers

8

661.

Painters, drawers, signboard makers

15

580.

Launderers

5

691.

Nominal company executives

0

620.

Miners, coal miners

0

623.

Potters, pottery painters

1

600.

Gardeners, landscape gardeners

13

502.

Researchers in humanities

0

505.

Agricultural and forestry engineers

0

521.

Elementary school teachers

24

616.

Wire operators

0

603.

Other agricultural and forestry workers

0

530.

Sculptors, artistic painters, industrial artists

3

571.

Recyclable resource wholesalers/collectors

1

680.

Bricklayers, pipe layers

10

569.

Shop salespersons

131

541.

Business management consultants

5

511.

Midwives

1

525.

Teachers for the blind, the deaf, and/or the handicapped

4

578.

Housemaids, housekeeping service workers

55

609.

Ship engine drivers (excluding fishing boat)

0

591.

Fashion models

0

537.

Nursery school teachers

25

593.

Self Defense Force officials

2

682.

Building construction laborers

24

538.

Social welfare service professionals

14

681.

Tatami mat makers/layers

2

673.

Boiler technicians, boilermen

4

528.

Authors and writers

0

579.

Barbers, hairdressers, beauticians

30

583.

Waiters/waitresses

44

601.

Livestock farming workers

9

614.

Other transportation workers

5

689.

Occupations not elsewhere classified

4

587.

Tour guides

0

645.

Miso/soy sauce/canned food/dairy product makers, food makers

54

550.

Managers in companies/organizations

29

641.

Watch assemblers/repairers

1

586.

Entertainment facility service workers

10

657.

Paper/paper device/pulp/paper goods makers

7

610.

Aircraft pilots, flight navigators, flight engineers

1

626.

Other ceramic/earthen/stoneware makers

0

510.

Pharmacists

8

636.

Railway car assemblers/repairers

1

555.

Receptionists/information clerks

27

526.

Other educational professionals

0

684.

Work site foremen, other construction workers

16

529.

Journalists/reporters, editors

7

625.

Glass/cement goods makers

1

646.

Tobacco makers

1

604.

Fishery workers

13

582.

Bartenders

0

606.

Train drivers/locomotive drivers

3

602.

Forestry workers

2

640.

Other transportation vehicle assemblers/maintenance workers

2

659.

Rubber/plastic goods makers

12

658.

Printers, book binders

15

531.

Designers

4

535.

Professional athletes (excluding private sports instructors)

1

560.

Postal/communication clerks

8

674.

Crane/construction machine operators

6

986.

No occupation

0

523.

High school teachers

13

664.

Japanese-style umbrella/lantern/fan makers

0

605.

Fishing boat captains/navigators/engine drivers

1

677.

Electricity/telephone construction workers

14

634.

Electric machine and instrument assemblers/repairers

64

566.

Retail shop owners

42

Summary Statistics: Max. 999.0; StDev 202.43337177007268; Min. 501.0; Mean 738.8722748815169; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:98KaeuCRjvG/uhP48cPUmw==

Occupation (ISCO)

f5791240 Location:

Value

Label

Frequency

Text

7420.

Wood treaters+rel.trades

0

4220.

Client information clerks

0

2142.

Civil engineers

2

4114.

Calculating machine operators

1

2130.

Computing professionals

1

5230.

Stall and market salespersons

0

7141.

Painters and related workers

3

2112.

Meteorologists

0

8100.

Stationary-plant+related operators

0

2331.

Primary educ.teaching prof

13

7424.

Basketry weavers+rel.worker

1

7343.

Printing engravers and etchers

0

1314.

Gen.managers in wholesale+retail trade

4

5163.

Prison guards

0

3431.

Administrative secretaries+rel.prof

0

5139.

Personal care+related workers nec

0

3227.

Veterinary assistants

0

8171.

Automated-assembly-line operators

1

7213.

Sheet-metal workers

0

7346.

Silk-screen,block+textile printers

0

1221.

Prod.+oper.managers in agriculture

0

2460.

Religious professionals

3

1232.

Personnel+industrial rel.dep.managers

1

2224.

Pharmacists

3

1234.

Advertising+pub.relations dep.managers

0

7432.

Weavers,knitters+related workers

0

7340.

Printing+related trades workers

0

8130.

Glass,ceramics+rel.plant operators

0

8330.

Agricultural+other mobile-plant oper

2

8273.

Grain+spice-milling-machine operator

0

8232.

Plastic-products machine operators

7

1120.

Senior government official

0

8251.

Printing-machine operators

5

6153.

Deep-sea fishery worker

0

7214.

Structural-metal preparers+erectors

2

4140.

Library, mail and related clerks

0

7124.

Carpenters and joiners

21

9131.

Domestic helpers and cleaners

2

9130.

Domestic+rel.helpers

0

3229.

Modern health assoc.profess.nec

4

2453.

Composers, musicians+singers

0

6114.

Mixed-crop growers

0

6124.

Mixed animal producers

0

7130.

Building finishers+rel.trades workers

3

8113.

Well drillers+borers+related workers

0

4110.

Secretaries+keyboard-operating clerks

0

8240.

Wood-products machine operators

0

1227.

Prod.+oper.managers:business serv.

0

9330.

Transport labourers+freight handlers

0

7313.

Jewellery and precious-metal workers

0

7345.

Bookbinders+related workers

0

6129.

Market-oriented animal producers nec

0

7411.

Butchers+rel.food preparers

4

2450.

Writers and creative artists

0

7415.

Food+beverage tasters+graders

0

7123.

Concrete placers,finishers+rel

4

2220.

Health professionals

0

3440.

Customs,tax+rel.government prof

0

1100.

Legislators and senior officials

0

3140.

Ship,aircraft controllers+techn.

0

8131.

Glass,ceramics+rel.machine operator

1

3121.

Computer assistants

7

5210.

Fashion and other models

0

8320.

Motor-vehicle drivers

0

1141.

Sen.officials of pol.party

0

7131.

Roofers

0

7212.

Welders and flamecutters

2

8122.

Metal melters,casters

0

7122.

Bricklayers and stonemasons

0

3000.

Technicians and related prof.

0

4221.

Travel agency and related clerks

0

2113.

Chemists

0

2411.

Accountants

1

88888.

Not applicable

2859

8123.

Metal-heat-treating-plant operator

0

9110.

Street vendors and related workers

0

2114.

Geologists and geophysicists

0

2451.

Authors,journalists+other writers

3

3210.

Life science technicians+rel.prof

0

9211.

Farm-hands and labourers

4

7112.

Shotfirers and blasters

0

8143.

Papermaking-plant operators

1

2210.

Life science professionals

0

2230.

Nursing+midwifery professionals

4

1237.

Research+development dep.managers

0

7421.

Wood treaters

3

9321.

Assembling labourers

0

7133.

Plasterers

4

7416.

Tobacco preparers+tobacco prod.maker

0

7442.

Shoemakers+rel.workers

0

5141.

Hairdressers,beauticians+rel.workers

14

2340.

Special educ.teaching profess

1

3300.

Teaching associate professionals

0

8140.

Wood-processing+papermaking-plant oper

0

3472.

Radio,television+other announcers

0

7341.

Compositors,typesetters+rel.worker

0

1222.

Prod.+oper.managers:manufacturing

4

2223.

Veterinarians

0

4215.

Debt-collectors and related workers

5

8212.

Cement+o.mineral products machine oper

1

8112.

Mineral-ore+stone-proc.-plant oper

1

2455.

Film, stage+rel.actors+directors

2

9322.

Hand packers+other manufacturing lab

19

2146.

Chemical engineers

1

7134.

Insulation workers

0

3213.

Farming and forestry advisers

0

7000.

Craft and trade workers

1

7520.

Electronics engineers nec

0

8124.

Metal drawers and extruders

0

9213.

Fishery, hunting+trapping labourers

1

3144.

Air traffic pilots

0

9151.

Messengers,package,luggage porters

6

9313.

Building construction labourers

1

3111.

Chemical+physical science techn.

0

2111.

Physicists, and astronomers

0

9111.

Street food vendors

0

8284.

Metal+plastic-products assemblers

4

2144.

Electronics+telecomm.engineers

1

5200.

Models,salespersons+demonstrators

0

3225.

Dental assistants

3

3460.

Social work associate professionals

4

4144.

Scribes and related workers

0

7111.

Miners and quarry workers

0

1233.

Sales+marketing dep.managers

2

3145.

Air traffic safety technicians

0

9312.

Construction+maintenance labourers

7

1143.

Sen.off.of human+other interest org

0

5160.

Protective services workers

0

5120.

Housekeeping+rest. services workers

0

1310.

General managers

0

8310.

Locomotive-engine drivers+rel.workers

0

7331.

Handicraft in wood+rel.materials

1

3142.

Ships deck officers and pilots

0

8276.

Sugar production machine operators

0

7330.

Handicraft in wood,textile a.s.

0

1318.

Gen.managers in personal care,cleaning

0

7430.

Textile,garment+rel.trades workers

1

2132.

Computer programmers

3

3434.

Statistical,mathematical+rel.prof

0

1236.

Computing services dep.managers

0

6151.

Aquatic-life cultivation worker

3

3220.

Modern health assoc.professionals

0

8223.

Metal finishing+coating-machine oper

0

9331.

Hand or pedal vehicle drivers

0

6123.

Apiarists and sericulturists

1

9150.

Messengers,porters,doorkeepers+rel.

0

9152.

Doorkeepers,watchpersons

7

8263.

Sewing-machine operators

1

3439.

Administrative assoc.profess. nec

0

7431.

Fibre preparers

0

3222.

Sanitarians

0

3429.

Other business services agents nec

0

4213.

Bookmakers and croupiers

0

7215.

Riggers and cable splicers

0

3340.

Other teaching associate profess

13

1200.

Corporate managers

10

7100.

Extraction and building trades worker

10

2350.

Other teaching profess,nec

0

7121.

Builders, traditional materials

0

2440.

Social science+rel. prof.

0

2320.

Secondary education teacher

15

3212.

Agronomy and forestry technicians

0

7135.

Glaziers

0

5142.

Companions and valets

3

5131.

Child care workers

0

3330.

Spec.educ. teaching assoc. prof.

1

6141.

Forestry workers and logger

2

5132.

Institution-based personal care workers

24

3151.

Building and fire inspectors

3

4000.

Office worker,clerks

0

7129.

Building frame+rel.trades workers nec

3

2229.

Health professionals n.e.c.

0

2120.

Mathematicians, statisticians+rel.prof

0

4133.

Transport clerks

4

6000.

Skilled agricultural+fishery worker

0

9161.

Garbage collectors

3

3449.

Customs,tax+rel. government prof nec

0

2147.

Mining engineers,metallurgists+rel

0

8333.

Crane, hoist and related plant oper

1

2121.

Mathematicians and related prof

0

7120.

Building frame+related trades workers

0

1220.

Production+operations dep.manager

0

8260.

Textile+leather-products machine oper

0

1231.

Finance+administration dep.managers

0

3131.

Photographers+image+sound oper

2

7414.

Fruit,vegetable+related preservers

3

1317.

General managers of business services

0

7142.

Varnishers and related painters

2

3114.

Electronics+telecommunication techn

3

8332.

Earth-moving+rel.plant operators

0

2131.

Computing systems designers+analysts

12

8110.

Mining+mineral-proc.-plant operator

0

2443.

Philosophers,historians+pol.scientist

0

5000.

Personal service, sale

0

2300.

Teaching professionals

4

2452.

Sculptors, painters+rel.artists

1

4214.

Pawnbrokers and money-lenders

0

7435.

Textile,leather+rel.pattern-makers

1

3241.

Traditional medicine practitioners

0

3480.

Religious associate professionals

0

2446.

Social work professionals

5

8111.

Mining-plant operators

0

3119.

Physical+engin.science techn.nec

0

8153.

Chemical-filtering-equipment oper

0

7320.

Potters,glass-makers+rel.trades worker

0

7231.

Motor vehicle mechanics and fitters

14

7232.

Aircraft engine mechanics and fitters

2

7436.

Sewers, embroiderers+rel.workers

7

6142.

Charcoal burners and related worker

0

7110.

Miners,shotfirers,stone cutters+carvers

0

3432.

Legal+rel.business assoc. profess

1

8265.

Fur+leather-preparing-machine operator

0

2332.

Pre-primary educ.teaching prof

10

9333.

Freight handlers

12

2454.

Choreographers and dancers

0

8163.

Icinerator,water-treatment+rel.oper

4

3113.

Electrical engineering technicians

0

9120.

Shoe cleaning+other street services

0

2441.

Economists

0

3133.

Medical equipment operators

2

8121.

Ore ad metal furnace operators

0

9112.

Street vendors, non-food products

0

7434.

Furriers and related workers

0

5143.

Undertakers and embalmers

2

2199.

Other natural scientist

0

8152.

Chemical-heat-treating-plant oper

0

3421.

Trade brokers

1

4130.

Material-recording+transport clerks

0

8170.

Auto.-assembly-line+ind.-robot oper

0

1000.

Legislators,senior off.+managers

0

3150.

Safety and quality inspectors

0

8334.

Lifting-truck operators

3

8154.

Chemical-still+reactor operators

0

8150.

Chemical-processing-plant operators

1

9140.

Building caretakers,window+rel.cleaner

0

8262.

Weaving+knitting-machine operators

0

5161.

Fire-fighters

2

8278.

Beverage machine operators

0

7132.

Floor layers and tile setters

1

2430.

Archivists,librarians+rel.info.prof

0

4500.

Railway official,higher civil service

0

3414.

Travel consultants and organisers

1

2351.

Education methods specialists

0

8141.

Wood-processing-plant operators

2

2200.

Life science+health professionals

0

1229.

Prod.+oper.dep. managers nec

1

7140.

Painters,building cleaners+rel worker

0

3430.

Administrative assoc.professionals

0

9153.

Vending-machine money collectors

0

8286.

Paperboard,textile+rel.prod.assembler

0

1312.

General managers in manufacture

5

7324.

Glass,ceramics+rel.decorative painter

0

8211.

Machine-tool operators

5

8277.

Tea,coffee+cocoa-processing-m.oper

0

3442.

Government tax and excise officials

0

1230.

Other department managers

0

5140.

Other personal services workers

0

8220.

Chemical-products machine operators

1

4300.

Office helping workers

0

7342.

Stereotypers,electrotypers

0

3242.

Faith healers

0

2421.

Lawyers

0

4211.

Cashiers and ticket clerks

9

3474.

Clowns,magicians,acrobates+rel.prof

0

4115.

Secretaries

1

4222.

Receptionists+information clerks

15

2359.

Extra-systemic. teacher

0

3411.

Securities+finance dealers and brokers

1

3443.

Government social benefits officials

0

7220.

Blacksmiths,tool-makers+rel.trade

1

6111.

Field crop and vegetable growers

43

4212.

Tellers and other counter clerks

3

5110.

Travel attendents+related workers

0

7321.

Abrasive wheel formers,potters+rel.

0

5133.

Home-based personal care workers

5

1228.

Prod.+oper.managers:cleaning

1

8222.

Ammunition products machine operator

0

2400.

Other professionals

0

2330.

Primary+pre-primary educ.teacher

0

8282.

Electrical-equipment assemblers

10

5169.

Protective services workers nec

3

4111.

Stenographers and typists

0

8139.

Glass,ceramics+rel.plant operators nec

0

2143.

Electrical engineers

4

8266.

Shoemaking+related machine operator

1

1140.

Sen.officials of interest organisation

0

8270.

Food+rel.products machine operators

5

9000.

Elementary occ.+unskilled workers

4

1142.

Sen.officials of empl+workers org

0

5122.

Cooks

43

8322.

Car, taxi and van drivers

14

7224.

Metal wheel-grinders+tool sharpeners

0

9332.

Drivers of animal-drawn vehicles+machines

0

3226.

Physiotherapists+rel.assoc.profess

1

6152.

Inland+coastal waters fishery worker

3

7210.

Metal moulders,sheetmetal workers+rel

1

8155.

Petroleum+natural-gas-refing-plant oper

1

4121.

Accounting and bookkeeping clerks

45

3152.

Safety, health+quality inspectors

3

8285.

Wood+rel.products assemblers

3

9160.

Garbage collectors+rel.labourers

0

7233.

Agricultural-industrial mechanics

7

3473.

Musicians,singers,dancers

0

4131.

Stock clerks

3

5112.

Transport conductors

0

8281.

Mechanical-machinery assemblers

25

3470.

Artistic,entertainment+sports prof

0

6112.

Tree and shrub crop growers

4

7200.

Metal,machinery+rel.trades workers

0

4190.

Other office clerks

17

3221.

Medical assistants

2

4112.

Word-processor and rel.operators

0

7143.

Building structure cleaners

1

6130.

Market-oriented crop animal producer

0

7113.

Stone splitters, cutters and carvers

0

7230.

Machinery mechanics and fitters

0

3132.

Broadcasting+telecommunications oper

0

8324.

Heavy truck and lorry drivers

18

3223.

Dieticians and nutritionists

2

1239.

Other department managers

0

7244.

Telegraph+telephone installers+service

0

1319.

General managers nec

3

1238.

Other department managers nec

0

3117.

Mining and metallurgical techn.

0

7441.

Pelt dressers,tanners+fellmongers

0

4122.

Statistical and finance clerks

0

7310.

Precision metal workers+rel.materials

0

2310.

College,uni+higher educ.teacher

5

8274.

Baked-goods+chocolate-products m-oper

1

3433.

Bookkeepers

0

7242.

Electronics fitters

3

5130.

Personal care and related workers

0

6113.

Gardeners,hortic.+nursery growers

8

1315.

Gen.managers of rest.+hotels

2

6100.

Market-orient.agric.skilled worker

0

4132.

Production clerks

2

3231.

Nursing associate professionals

30

3116.

Chemical engineering technicians

1

7241.

Electrical mechanics and fitters

4

7245.

Electrical line installers,repairers

1

7433.

Tailors,dressmakers+hatters

2

2412.

Personnel+careers professionals

1

8290.

Other machine operators+assemblers

0

1130.

Traditional chiefs+heads of villages

0

3413.

Estate agents

8

2429.

Legal professionals nec

0

7413.

Dairy-products makers

0

7216.

Underwater workers

0

8280.

Assemblers

3

6154.

Hunters and trappers

0

8224.

Photographic-products machine operator

0

2141.

Architects, town+traffic planners

3

2500.

Education prof. n.e.c.

0

9113.

Door-to-door,telephone salesperson

1

8210.

Metal+mineral-products machine oper

0

2221.

Medical doctors

6

7222.

Tool-makers and related workers

4

2470.

Public service administrative prof

0

9212.

Forestry labourers

0

110.

Armed forces

1

5111.

Travel attendents+travel stewards

0

4143.

Coding, proof-reading+rel.clerks

1

7900.

Master craftsmen,supervisor

0

2100.

Physical,math.+engineering science

0

3410.

Finance+sales associate professionals

1

3110.

Physical+engineering science techn.

0

1223.

Prod.+oper.managers:construction

1

5152.

Fortune-tellers+related workers

0

5220.

Shop salespersons and demonstrators

96

3120.

Computer associate professionals

0

3310.

Primary educ.teachg assoc.prof.

0

2420.

Legal professionals

0

2211.

Biologist,botanist,zoologist+rel

0

1210.

Directors and chief executives

12

3122.

Computer equipment operators

0

4100.

Office clerks

168

9311.

Mining and quarrying labourers

1

9210.

Agricultural,fishery+rel.labourers

0

8261.

Spinning+winding-machine operators

2

9320.

Manufacturing labourers

0

2444.

Philologists,translators+interpreter

1

3475.

Athletes,sportspersons+rel.prof

3

6210.

Subsistence agricultural+fishery worker

0

7136.

Plumbers and pipe fitters

2

5151.

Astrologers and related workers

0

3420.

Business services agents+trade broker

0

6120.

Market-oriented animal producers

0

8142.

Paper-pulp plant operators

0

2222.

Dentists

1

2445.

Psychologists

0

6121.

Dairy and livestock producers

0

7332.

Handicraft in textile,leather+rel

0

7311.

Precision-instrument makers+repairers

3

2149.

Architects,engineers+rel.prof

2

6140.

Forestry and related worker

0

1110.

Legislators

0

8272.

Dairy-products machine operators

0

9132.

Helpers+cleaners in offices, hotels

20

2213.

Agronomists+related professionals

0

7211.

Metal moulders vand coremakers

0

3400.

Other associate professionals

0

2122.

Statisticians

0

9141.

Building caretakers

12

4210.

Cashiers, tellers and rel.clerks

0

5149.

Other personal services workers nec

0

3320.

Pre-primary educ. teachg assoc. prof.

1

8120.

Metal-processing-plant operators

1

9162.

Sweepers and related labourers

2

2431.

Archivists and curators

1

4200.

Customer services clerks

0

8162.

Steam-engine and boiler operators

3

7412.

Bakers+confectionary makers

6

4142.

Mail carriers and sorting clerks

7

3417.

Appraisers,valuers+auctioneers

1

3441.

Customs and border inspectors

0

3143.

Aircraft pilots+rel. professionals

0

3423.

Employment agents+labour contractors

0

8200.

Machine operators and assemblers

0

7323.

Glass engravers and etchers

0

5123.

Waiters, waitresses and bartenders

23

7322.

Glass-makers,cutters+finishers

1

8323.

Bus and tram drivers

1

3232.

Midwifery associate professionals

0

5100.

Personal+protective services workers

0

2110.

Physicists,chemists+rel.professionals

0

3123.

Industrial robot controllers

0

8159.

Chemical-processing-plant oper,nec

0

4113.

Data entry operators

2

8340.

Ships deck crews and rel.workers

1

4141.

Library and filing clerks

0

3240.

Trad.medicine practitioner+faith healer

0

3422.

Clearing and forwarding agents

0

8264.

Bleaching+cleaning-machine operators

2

2212.

Pharmacologists, pathologists

0

3228.

Pharmaceutical assistants

0

2422.

Judges

0

8160.

Power-production+rel.plant operators

0

2139.

Computing professionals n.e.c.

0

3224.

Optometrists and opticians

0

3412.

Insurance representatives

12

7312.

Musical-instrument makers+tuners

0

7437.

Upholsterers and related workers

0

8275.

Fruit+nut-processing-machine oper

0

3415.

Technical+commercial sales represent

59

7510.

Metal worker nec

0

8271.

Meat+fish-processing-machine operator

4

7240.

Electrical+electronic equipm.mechanic

0

7440.

Pelt,leather+shoemaking trades worker

0

9310.

Mining and construction labourers

1

8161.

Power-production plant operators

1

3471.

Decorators and commercial designers

2

3115.

Mechanical engineering technicians

1

2148.

Cartographers and surveyors

0

8000.

Plant+machine operators

4

2419.

Business professionals n.e.c

5

8231.

Rubber-products machine oper

1

7139.

Building finishers+rel.trade workers

0

1235.

Supply+distribution dep.managers

1

7137.

Building+rel.electricians

5

1224.

Prod.+oper.managers:retail trade

2

8229.

Chemical-products machine oper.nec

3

3141.

Ships engineers

0

99999.

No answer

7

7423.

Woodworking-machine setters+operators

0

8300.

Drivers and mobile-plant operators

0

7243.

Electronics mechanics+servicers

1

8172.

Industrial-robot operators

0

2140.

Architects,engineers+rel.profess

1

8321.

Motor-cycle drivers

0

1311.

General managers in agriculture

1

8230.

Rubber+plastic-products machine oper

0

8250.

Printing+paper-products machine oper

0

3444.

Government licensing officials

0

7221.

Blacksmiths+forging-press worker

0

2432.

Librarians+rel.information prof.

1

8252.

Bookbinding-machine operators

1

6122.

Poultry producers

0

2000.

Professionals

0

7400.

Other craft+rel.trades workers

0

7344.

Photographic+related workers

1

5162.

Police officers

2

4400.

Post office,higher civil service

0

4223.

Telephone switchboard operators

2

3416.

Buyers

2

2145.

Mechanical engineers

5

8269.

Textile products machine operators nec

0

9300.

Labour. mining,constr.,manufacturing

0

7500.

Metal worker general

0

3130.

Optical+electronic equipement oper

0

1225.

Prod.+oper.managers:hotels rest.

0

3200.

Life science+health assoc.profess

0

3139.

Optical+electronic operators nec

0

1313.

General managers in construction

2

7300.

Precision,handicraft,printing+other

0

8283.

Electronic-equipment assemblers

14

5150.

Astrologers,fortune-tellers

0

7410.

Food processing+rel.trades workers

16

2410.

Business professionals

0

7422.

Cabinet-makers+related workers

3

3211.

Life science technicians

0

8331.

Motorised farm+forestry plant oper.

1

8279.

Tobacco production machine operators

1

2442.

Sociologists,anthropologists+rel

0

6110.

Market gardeners and crop growers

0

8253.

Paper-products machine operators

2

8151.

Crushing-,grinding mach.operator

0

8221.

Pharma.products machine operator

1

3450.

Police inspectors and detectives

0

9100.

Sales+services elementary occupation

0

3118.

Draughtspersons

4

3112.

Civil engineering technicians

5

3230.

Nursing+midwifery assoc.professionals

0

5113.

Travel guides

1

7223.

Machine-tool setters+setter-operators

1

9142.

Vehicle, window+related cleaners

0

2352.

School inspectors

0

6150.

Fishery workers,hunters+trappers

0

4120.

Numerical clerks

0

5121.

Housekeepers and related workers

2

3419.

Finance+sales assoc.professionals nec

0

1226.

Prod.+oper.managers:transport,comm

1

8311.

Locomotive-engine drivers

0

1316.

Gen.managers in transport+comm.

1

9133.

Hand-launderers and pressers

1

8287.

Composite products assemblers

0

8312.

Railway brakers,signallers+shunters

0

Summary Statistics: StDev 39082.39276667911; Valid 4220.0; Mean 62071.456398104216; Max. 99999.0; Min. 110.0

Variable Format: numeric

Notes: UNF:6:UkyZYmlGghr0tcw6KTiLpQ==

Corporation Size

f5791240 Location:

Value

Label

Frequency

Text

12.

Government agency

233

8.

500-999

117

13.

Don't know

130

11.

10,000 or over

123

2.

2-4

386

99.

No answer

18

9.

1,000-1,999

109

4.

10-29

354

7.

300-499

102

88.

Not applicable

1549

10.

2,000-9,999

122

3.

5-9

215

6.

100-299

287

5.

30-99

345

1.

1

130

Summary Statistics: Max. 99.0; StDev 39.760931187032824; Mean 36.538862559241615; Valid 4220.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:CNwpD60gjNuAMb4qAt+rsQ==

Joining Labor Union

f5791240 Location:

Value

Label

Frequency

Text

4.

Don't know

50

3.

I am not a member of any labor union.

2095

1.

I am a member of a labor union at my workplace.

460

2.

I am a member of a labor union outside of my workplace.

49

9.

No answer

17

8.

Not applicable

1549

Summary Statistics: Mean 4.641706161137439; Max. 9.0; Valid 4220.0; Min. 1.0; StDev 2.662240230020923

Variable Format: numeric

Notes: UNF:6:KefmghhgbFw7TedIUNvnzA==

Satisfaction with Your Job

f5791240 Location:

Value

Label

Frequency

Text

5.

Dissatisfied

77

6.

Don't know

3

3.

Neither satisfied nor dissatisfied

645

1.

Satisfied

696

4.

Somewhat dissatisfied

190

8.

Not applicable

1549

2.

Somewhat satisfied

1058

9.

No answer

2

Summary Statistics: Mean 4.341232227488154; StDev 2.903709717555315; Max. 9.0; Valid 4220.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:XhK1JdiNuJ1W9BhcfqhT7A==

Possibility of Loosing Your Job

f5791240 Location:

Value

Label

Frequency

Text

1.

Very likely

70

4.

Not at all likely

1325

9.

No answer

2

2.

Fairly likely

313

5.

Don't know

160

8.

Not applicable

1549

3.

Not too likely

801

Summary Statistics: Min. 1.0; Mean 5.120616113744075; StDev 2.3030430315236954; Max. 9.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:g1zjYY4XhjktUBK8Aad7TA==

International Trade: Importing from a Foreign Country

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

0.

Not chosen

2179

1.

Chosen

458

9.

No answer

34

Summary Statistics: Valid 4220.0; Max. 9.0; StDev 3.8128070497834785; Min. 0.0; Mean 3.1175355450237;

Variable Format: numeric

Notes: UNF:6:wm7cX5NW7Su1FeR6YoEJWg==

International Trade: Exporting to a Foreign Country

f5791240 Location:

Value

Label

Frequency

Text

1.

Chosen

283

0.

Not chosen

2354

8.

Not applicable

1549

9.

No answer

34

Summary Statistics: Mean 3.076066350710898; Max. 9.0; StDev 3.840953414684969; Min. 0.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:A5q0fV+bpFQWnjngJHwl5g==

International Trade: Producing in a Foreign Country

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

1.

Chosen

177

0.

Not chosen

2460

9.

No answer

34

Summary Statistics: Max. 9.0; Min. 0.0; Valid 4220.0; Mean 3.0509478672985693; StDev 3.8576853785477745;

Variable Format: numeric

Notes: UNF:6:NPRMuttkYdclRPTbW4nuQw==

International Trade: No Exchange with a Foreign Country

f5791240 Location:

Value

Label

Frequency

Text

0.

Not chosen

666

8.

Not applicable

1549

9.

No answer

34

1.

Chosen

1971

Summary Statistics: StDev 3.539992042360097; Min. 0.0; Valid 4220.0; Max. 9.0; Mean 3.4760663507108975

Variable Format: numeric

Notes: UNF:6:oYAaKMpo/ZSuBCEtZc4DpA==

Last School Respondent Attended

f5791240 Location:

Value

Label

Frequency

Text

2.

Higher elementary school in the old system

102

1.

Ordinary elementary school in the old system

60

11.

2-year college

389

4.

Vocational school/Commerce school in the old system

24

3.

Junior high school/Girls' high school in the old system

130

6.

Higher school or vocational school in the old system

24

8.

Junior high school

535

13.

Graduate school

65

7.

University/Graduate school in the old system

11

12.

University

855

5.

Normal school in the old system

3

10.

College of technology

154

14.

Don't know

10

99.

No answer

25

9.

High school

1833

Summary Statistics: Valid 4220.0; Mean 9.787203791469196; Min. 1.0; StDev 7.311523842337545; Max. 99.0

Variable Format: numeric

Notes: UNF:6:zo/udO0pR9bKCqFvNjCY9g==

Completion of the Last School

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

9

2.

Quit

116

3.

Still a student

57

1.

Graduated

4038

Summary Statistics: Valid 4220.0; Min. 1.0; StDev 0.4614526353361726; Max. 9.0; Mean 1.0715639810426538

Variable Format: numeric

Notes: UNF:6:JBkGhZHZOmsAwWSZ6xQZ7g==

Type of Residential Area

f5791240 Location:

Value

Label

Frequency

Text

6.

Other

86

3.

Old residential area from the pre-war period

1203

4.

New residential area after the war

1585

1.

Area where a number of factories are located

43

9.

No answer

43

2.

Area where a number of stores and offices are located

471

5.

Farming/fishing village

789

Summary Statistics: Mean 3.739810426540284; StDev 1.13095091666459; Max. 9.0; Min. 1.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:md5ydycAfg8nnFOeWtk2dw==

Comparison of Household Income with Others at Age 15

f5791240 Location:

Value

Label

Frequency

Text

1.

Far below average

408

3.

Average

1898

5.

Far above average

97

4.

Above average

643

2.

Below average

1100

9.

No answer

74

Summary Statistics: Min. 1.0; Mean 2.8495260663507103; StDev 1.2250302009166003; Max. 9.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:ImuMiI2VoGsbDB6J2j7Dsw==

Class Rank in the Senior of Junior High School

f5791240 Location:

Value

Label

Frequency

Text

4.

Relatively high

982

9.

No answer

27

5.

High

576

3.

About in the middle

1692

2.

Relatively low

664

1.

Low

279

Summary Statistics: Max. 9.0; Valid 4220.0; Min. 1.0; StDev 1.1689131757990447; Mean 3.254502369668247

Variable Format: numeric

Notes: UNF:6:i4FhLAF09gfiK6sN9V63iQ==

View on Government Re-distributional Policy

f5791240 Location:

Value

Label

Frequency

Text

3.

Neither agree nor disagree

1351

8.

Not applicable

0

2.

Somewhat agree

1361

9.

No answer

19

1.

Agree

1222

4.

Somewhat disagree

198

5.

Disagree

69

Summary Statistics: Max. 9.0; Mean 2.204976303317535; Min. 1.0; Valid 4220.0; StDev 1.0599135834436846;

Variable Format: numeric

Notes: UNF:6:DXOVGIGGVnxdQwccTn/uOw==

Political Support

f5791240 Location:

Value

Label

Frequency

Text

6.

Other

8

1.

Liberal Democratic Party

947

2.

Democratic Party of Japan

730

7.

There is no particular party I support.

1904

4.

Japanese Communist Party

72

8.

Don't know

320

3.

New Komeito

159

5.

Social Democratic Party

54

9.

No answer

26

Summary Statistics: Max. 9.0; StDev 2.7893289244942223; Valid 4220.0; Mean 4.647393364928909; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:dtZcJzalxlTOi5T3ilRbbQ==

Emotional Closeness: Your City/Town of Residence

f5791240 Location:

Value

Label

Frequency

Text

1.

Very close

615

2.

Somewhat close

1301

4.

Not at all close

33

3.

Not so close

207

9.

No answer

4

8.

Not applicable

2060

Summary Statistics: Min. 1.0; Valid 4220.0; StDev 3.114496168597561; Max. 9.0; Mean 4.854502369668249

Variable Format: numeric

Notes: UNF:6:+zOU5jDrusOhVS7DANZ3IQ==

Acceptance of Foreign Co-workers: China

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

9.

No answer

113

1.

Yes

1341

2.

No

706

Summary Statistics: Max. 9.0; Mean 4.798578199052134; Min. 1.0; Valid 4220.0; StDev 3.3725321130517356

Variable Format: numeric

Notes: UNF:6:7NV4ZkBUKxzyU3AZNuznPQ==

Acceptance of Foreign Co-workers: South Korea

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

117

2.

No

612

8.

Not applicable

2060

1.

Yes

1431

Summary Statistics: Min. 1.0; Max. 9.0; Valid 4220.0; Mean 4.783886255924169; StDev 3.3946720194030524

Variable Format: numeric

Notes: UNF:6:gokwCBg+G10wcQjpLSsiiw==

Acceptance of Foreign Co-workers: Taiwan

f5791240 Location:

Value

Label

Frequency

Text

1.

Yes

1479

2.

No

559

9.

No answer

122

8.

Not applicable

2060

Summary Statistics: Mean 4.780805687203789; StDev 3.4074025789205074; Valid 4220.0; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:TQP9MmSI7SI003RCO2TBrA==

Acceptance of Foreign Co-workers: Southeast Asia

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

129

1.

Yes

1412

8.

Not applicable

2060

2.

No

619

Summary Statistics: Max. 9.0; Mean 4.80829383886256; Min. 1.0; Valid 4220.0; StDev 3.394427823685644

Variable Format: numeric

Notes: UNF:6:SNcrUlAeZ/3n/aS/stV7gA==

Acceptance of Foreign Co-workers: Europe

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

9.

No answer

124

2.

No

520

1.

Yes

1516

Summary Statistics: Min. 1.0; Max. 9.0; Mean 4.775355450236966; Valid 4220.0; StDev 3.4165304054110375

Variable Format: numeric

Notes: UNF:6:0uvprpPD2YSOWs8zXIRPsA==

Acceptance of Foreign Co-workers: North America

f5791240 Location:

Value

Label

Frequency

Text

2.

No

511

1.

Yes

1528

9.

No answer

121

8.

Not applicable

2060

Summary Statistics: Min. 1.0; Valid 4220.0; Mean 4.767535545023699; Max. 9.0; StDev 3.4181920752360764

Variable Format: numeric

Notes: UNF:6:ZfPFJOixi7myD2aew8yjcg==

Acceptance of Foreign Neighbors: China

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

2.

No

749

9.

No answer

108

1.

Yes

1303

Summary Statistics: Min. 1.0; Mean 4.799289099526067; Max. 9.0; StDev 3.3619807966870803; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:AJMwH08bKLmB+WTrie/44Q==

Acceptance of Foreign Neighbors: South Korea

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

107

1.

Yes

1412

2.

No

641

8.

Not applicable

2060

Summary Statistics: Min. 1.0; StDev 3.3867848355556953; Mean 4.771800947867302; Max. 9.0; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:RphSKyhE5uFCei634rZktQ==

Acceptance of Foreign Neighbors: Taiwan

f5791240 Location:

Value

Label

Frequency

Text

1.

Yes

1450

2.

No

600

8.

Not applicable

2060

9.

No answer

110

Summary Statistics: Max. 9.0; Min. 1.0; StDev 3.39653969244365; Valid 4220.0; Mean 4.767772511848343

Variable Format: numeric

Notes: UNF:6:n+FHsQ9Crkp6L3Sz5jlRmw==

Acceptance of Foreign Neighbors: Southeast Asia

f5791240 Location:

Value

Label

Frequency

Text

1.

Yes

1368

8.

Not applicable

2060

9.

No answer

115

2.

No

677

Summary Statistics: Max. 9.0; Valid 4220.0; Mean 4.795497630331754; Min. 1.0; StDev 3.3794729984260243

Variable Format: numeric

Notes: UNF:6:x2R6RRU0Fq9qBMNDTqXpwQ==

Acceptance of Foreign Neighbors: Europe

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

2.

No

520

9.

No answer

112

1.

Yes

1528

Summary Statistics: Min. 1.0; StDev 3.414958149465572; Mean 4.752606635071091; Valid 4220.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:r0AS+XPCcfmgzNSzOCWI+Q==

Acceptance of Foreign Neighbors: North america

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

2.

No

510

9.

No answer

108

1.

Yes

1542

Summary Statistics: Mean 4.742654028436018; StDev 3.416651300504487; Valid 4220.0; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:ALk0OKAaREDRJF607CrA4g==

Acceptance of Foreign Relatives: China

f5791240 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

9.

No answer

121

1.

Yes

1146

2.

No

893

Summary Statistics: StDev 3.329284831470707; Max. 9.0; Valid 4220.0; Mean 4.858056872037913; Min. 1.0

Variable Format: numeric

Notes: UNF:6:naF22mswYzLThCjKD72t0w==

Acceptance of Foreign Relatives: South Korea

f5791240 Location:

Value

Label

Frequency

Text

9.

No answer

117

1.

Yes

1219

8.

Not applicable

2060

2.

No

824

Summary Statistics: Min. 1.0; Valid 4220.0; Max. 9.0; Mean 4.834123222748815; StDev 3.3453326581913805

Variable Format: numeric

Notes: UNF:6:vEaxqwawy42HsXF4n0ik1w==

Acceptance of Foreign Relatives: Taiwan

f5791240 Location:

Value

Label

Frequency

Text

1.

Yes

1262

2.

No

778

9.

No answer

120

8.

Not applicable

2060

Summary Statistics: Mean 4.828909952606634; StDev 3.3564586816575566; Valid 4220.0; Min. 1.0; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:Uh9Q/XPXpG2SxXg5crTqOQ==

Acceptance of Foreign Relatives: Southeast Asia

f5791240 Location:

Value

Label

Frequency

Text

1.

Yes

1180

2.

No

855

8.

Not applicable

2060

9.

No answer

125

Summary Statistics: Valid 4220.0; Min. 1.0; StDev 3.338679358266535; Mean 4.856635071090046; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:XgzAXwxqAvgEBl9o/zjuKg==

Acceptance of Foreign Relatives: Europe

f5791240 Location:

Value

Label

Frequency

Text

2.

No

658

8.

Not applicable

2060

9.

No answer

120

1.

Yes

1382

Summary Statistics: Mean 4.80047393364929; StDev 3.3844309491437548; Valid 4220.0; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:d92JBs8NrpK7sxUGYobatQ==

Acceptance of Foreign Relatives: North America

f5791240 Location:

Value

Label

Frequency

Text

2.

No

642

8.

Not applicable

2060

1.

Yes

1399

9.

No answer

119

Summary Statistics: Max. 9.0; Valid 4220.0; Mean 4.794786729857821; StDev 3.38801077977373; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:OmusdEenvaiUsJ3qdOmBtg==

Views on the Restriction of Foreign Products

f5791240 Location:

Value

Label

Frequency

Text

2.

Agree

239

9.

No answer

9

1.

Strongly agree

57

3.

Somewhat agree

474

7.

Strongly disagree

35

4.

Neither agree nor disagree

990

6.

Disagree

113

8.

Not applicable

2060

5.

Somewhat disagree

243

Summary Statistics: Max. 9.0; Mean 5.833175355450237; Min. 1.0; StDev 2.281273427260769; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:Xh9DhNFXXoBr/ZBFuM2cEQ==

Views on Following National Interests

f5791240 Location:

Value

Label

Frequency

Text

1.

Strongly agree

65

3.

Somewhat agree

571

6.

Disagree

86

8.

Not applicable

2060

9.

No answer

11

4.

Neither agree nor disagree

940

2.

Agree

275

7.

Strongly disagree

22

5.

Somewhat disagree

190

Summary Statistics: Valid 4220.0; Max. 9.0; Mean 5.755213270142181; Min. 1.0; StDev 2.346098883991599

Variable Format: numeric

Notes: UNF:6:/KWhVsnNPK+wlMJ8L53I4Q==

Views on Globalization: Job Opportunity for Workers in Japan

f5791240 Location:

Value

Label

Frequency

Text

2.

Good

256

88.

Not applicable

2060

1.

Very good

47

5.

Somewhat bad

324

3.

Somewhat good

396

99.

No answer

23

6.

Bad

157

7.

Very bad

42

4.

Neither good nor bad

716

8.

Can't choose

199

Summary Statistics: Min. 1.0; StDev 41.96809129225619; Mean 45.64360189573462; Max. 99.0; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:zQhPGGPSDu71LdQDtTOv5A==

Type of Main Job: Foreign Capital Company

f5791240 Location:

Value

Label

Frequency

Text

3.

Currently, I do not work for pay.

799

8.

Not applicable

2060

2.

I do not work for a a foreign capital company.

1233

9.

No answer

104

1.

I work for a foreign capital company.

24

Summary Statistics: Min. 1.0; Valid 4220.0; Max. 9.0; Mean 5.285071090047392; StDev 2.8611735649763546;

Variable Format: numeric

Notes: UNF:6:v4mxVZwNRhoqpVznER2cVA==

Weight

f5791240 Location:

Summary Statistics: StDev 5178.447197854883; Max. 36734.0; Mean 24070.130331753557; Min. 18823.0; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:0zHiEbAP5AYtbJXBM8gOQg==

Occpuation

f5791237 Location:

Variable Format: character

Notes: UNF:6:DMvTB8yCaqq5U1j3UxA0wA==

SOC

f5791237 Location:

Summary Statistics: Valid 455.0; Min. 111021.0; Max. 535031.0; StDev 158302.8621719845; Mean 375074.8549450548;

Variable Format: numeric

Notes: UNF:6:zPpnjmTMlQN+JMd6iltxOA==

Employement

f5791237 Location:

Summary Statistics: StDev 316853.01126508665; Max. 1815340.0; Min. 970.0; Mean 163452.76483516482; Valid 455.0;

Variable Format: numeric

Notes: UNF:6:DMK+Fr0LKlvMrpjcC5Gv3g==

Cumulative

f5791237 Location:

Summary Statistics: Max. 3.923322E7; Mean 2.0889708535164837E7; StDev 1.062247320282709E7; Min. 389090.0; Valid 455.0

Variable Format: numeric

Notes: UNF:6:99mholcw6e3h/G3y2UR7Vg==

Ranking

f5791237 Location:

Summary Statistics: Mean 145.7824175824176; Valid 455.0; Min. 1.0; Max. 285.0; StDev 81.23023594713901;

Variable Format: numeric

Notes: UNF:6:c668C8wzAv0uB8OnnSRWKg==

Score

f5791237 Location:

Summary Statistics: StDev 18.683059622327153; Max. 100.0; Valid 455.0; Mean 61.07032967032967; Min. 25.0

Variable Format: numeric

Notes: UNF:6:wr9rSLL7/Oa4DYIur96GYA==

ISCO_CODE

f5791237 Location:

Summary Statistics: Min. 1142.0; Max. 9333.0; StDev 2634.494375437034; Valid 450.0; Mean 5134.793333333332;

Variable Format: numeric

Notes: UNF:6:UrluuHhpfL9Zfx4Xpov1Yw==

ISCO_TITLE

f5791237 Location:

Variable Format: character

Notes: UNF:6:47SZVEW+KsCzeoQ+32AiRQ==

SOC_CODE1

f5791237 Location:

Summary Statistics: Mean 37.1333333333333; Max. 53.0; Min. 11.0; Valid 450.0; StDev 15.640732614036596

Variable Format: numeric

Notes: UNF:6:p0xHkSUyb7v6e5Pwr3tfdQ==

SOC_CODE2

f5791237 Location:

Summary Statistics: Mean 4461.424444444443; Min. 1011.0; Valid 450.0; Max. 9199.0; StDev 2665.2977419603026

Variable Format: numeric

Notes: UNF:6:K5JtVisXAdnT8SjxHiraMQ==

SOC_TIT

f5791237 Location:

Variable Format: character

Notes: UNF:6:e6wYAcqyhcoUU8onYfMuQg==

Occupation

f5791232 Location:

Summary Statistics: Mean 497.6493256262047; Min. 1.0; StDev 283.43223937837837; Valid 519.0; Max. 992.0

Variable Format: numeric

Notes: UNF:6:tj6l2zmO87Ig+iv+o5WEOA==

occ1990dd

f5791232 Location:

Summary Statistics: Valid 471.0; StDev 258.51838738399425; Mean 395.8747346072179; Max. 889.0; Min. 4.0

Variable Format: numeric

Notes: UNF:6:7otfiTkTchKLXFhfTXhZ4w==

task_offshorability

f5791232 Location:

Summary Statistics: Mean -0.012033589326653063; Min. -3.233248710632324; Valid 471.0; Max. 3.3317041397094727; StDev 1.2787242936238612

Variable Format: numeric

Notes: UNF:6:72nwJl1HvB45KsGW0H0+Vg==

task_abstract

f5791232 Location:

Summary Statistics: Valid 471.0; Min. 0.0; Mean 3.0334499825242935; Max. 9.002079963684082; StDev 2.3106644244399095;

Variable Format: numeric

Notes: UNF:6:mzOrIYOg2FP/ie4G2xKaTw==

task_routine

f5791232 Location:

Summary Statistics: Mean 4.372868081060442; StDev 2.2339703429852595; Valid 471.0; Max. 8.642066955566406; Min. 1.1863406896591187;

Variable Format: numeric

Notes: UNF:6:3J1kgzMMW0MIhL7Fc7nTqA==

task_manual

f5791232 Location:

Summary Statistics: Mean 1.327767029244722; Min. 0.0; StDev 1.4032765700313008; Valid 471.0; Max. 10.0

Variable Format: numeric

Notes: UNF:6:pWN1MeTXOmtsPtsdd7DSiA==

job_description

f5791232 Location:

Variable Format: character

Notes: UNF:6:4fC7ceAyAGICzf0s8kbRUw==

ISCO88 4 digit

f5791232 Location:

Summary Statistics: StDev 2524.1954536737794; Max. 9999.0; Valid 508.0; Min. 110.0; Mean 5082.503937007885;

Variable Format: numeric

Notes: UNF:6:h4G+//P+pktsE0ftBSTEng==

Occupation

f5791228 Location:

Summary Statistics: Max. 975.0; Min. 5.0; Mean 492.03362831858533; StDev 206.50358683271725; Valid 1130.0;

Variable Format: numeric

Notes: UNF:6:/qIlnsPfDlILbQNsC8VzIQ==

occ1990dd

f5791228 Location:

Summary Statistics: Mean 376.76637168141787; Valid 1130.0; Max. 889.0; Min. 8.0; StDev 205.49456927157408

Variable Format: numeric

Notes: UNF:6:LwyOmw/H/R17tgRJqHQKuA==

job_description

f5791228 Location:

Variable Format: character

Notes: UNF:6:9HZPB8uCz1xtpiq2YkkrMQ==

ISCO88 4 digit

f5791228 Location:

Summary Statistics: StDev 2246.9915361488274; Valid 1408.0; Min. 110.0; Max. 9333.0; Mean 5224.555397727255

Variable Format: numeric

Notes: UNF:6:eJbzGijUjrF/GYIoxl7Uiw==

task_offshorability

f5791228 Location:

Summary Statistics: Min. -3.154930591583252; Valid 1130.0; Mean 0.3969401743065259; StDev 1.3946267289347778; Max. 2.68599271774292

Variable Format: numeric

Notes: UNF:6:aZUO4h07KB0oMVF3FG3YYw==

task_abstract

f5791228 Location:

Summary Statistics: Min. 0.04155910015106201; StDev 1.7587968304499584; Max. 9.002079963684082; Mean 2.4247996033820365; Valid 1130.0;

Variable Format: numeric

Notes: UNF:6:K17Wc/MgDrnaKaJp8CtQSg==

task_routine

f5791228 Location:

Summary Statistics: Max. 8.536230087280273; Min. 1.25; Mean 3.836478497602248; StDev 1.9092158110054642; Valid 1130.0;

Variable Format: numeric

Notes: UNF:6:EH7U/St+axUA3bDMF0QtYA==

task_manual

f5791228 Location:

Summary Statistics: Min. 1.000000013351432E-10; Mean 1.1050341544409694; Valid 1130.0; Max. 6.167675495147705; StDev 1.2296925287093592

Variable Format: numeric

Notes: UNF:6:9oKYWk0R5hWv7oKOrLovDg==

count

f5791228 Location:

Summary Statistics: Mean 1.0; Max. 1.0; StDev 0.0; Valid 1130.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:PMvQJETldmxm6Qu5GOypbg==

RTI

f5791228 Location:

Summary Statistics: Min. -2.231675148010254; Max. 25.651355743408203; StDev 2.616369702278589; Mean 1.3764346043603963; Valid 1130.0;

Variable Format: numeric

Notes: UNF:6:ndBVDwOGfe/odGXag4fkNQ==

pref_name

f5791228 Location:

Variable Format: character

Notes: UNF:6:ygXZNgBf/M0p8kBeFBH12g==

ind_code

f5791228 Location:

Summary Statistics: Min. 1.0; StDev 6.337894749759147; Max. 23.0; Mean 17.57436974789914; Valid 2380.0

Variable Format: numeric

Notes: UNF:6:qyEWDzTAIZQoEH3W1CHu7A==

ind_text

f5791228 Location:

Variable Format: character

Notes: UNF:6:v/aYXQrVnAjQlVkXaphZ0w==

RTFPir

f5791228 Location:

Summary Statistics: Max. 0.777999997138977; StDev 0.16061522008254117; Valid 1169.0; Min. -0.9710000157356262; Mean 0.03264841788935966;

Variable Format: numeric

Notes: UNF:6:7XjcKAYiH06KdS2RyYoxgw==

TFP

f5791228 Location:

Summary Statistics: Mean 0.06064756436183684; StDev 0.09569184884553307; Valid 4274.0; Min. -0.14454182982444763; Max. 0.3323889672756195

Variable Format: numeric

Notes: UNF:6:4GGAwmb+MLrJAOJ5GQepJg==

labor_prod

f5791228 Location:

Summary Statistics: Max. 0.39899998903274536; Valid 4274.0; Mean 0.09804305015202654; StDev 0.12149776542520632; Min. -0.164000004529953;

Variable Format: numeric

Notes: UNF:6:eJ5iM95vINIEB6vphC3YSg==

Sequential Record Identifier (Added by ICPSR)

f5791228 Location:

Summary Statistics: Max. 4220.0; Min. 1.0; Valid 4274.0; Mean 2103.5935891436607; StDev 1218.9924642552764

Variable Format: numeric

Notes: UNF:6:MoDQxsGIwKtjYztZgCxlBg==

Regional Block

f5791228 Location:

Value

Label

Frequency

Text

4.

Kinki

634

6.

Kyusyu

516

1.

Hokkaido or Tohoku

565

2.

Kanto

1197

3.

Chubu

924

5.

Cyugoku or Shikoku

438

Summary Statistics: Valid 4274.0; StDev 1.5572373201864647; Min. 1.0; Mean 3.1710341600374354; Max. 6.0

Variable Format: numeric

Notes: UNF:6:dmbxmqIvTIT/cE4ll8XyjA==

Prefecture Name

f5791228 Location:

Value

Label

Frequency

Text

32.

Shimane

11

40.

Fukuoka

184

43.

Kumamoto

39

11.

Saitama

216

8.

Ibaraki

102

23.

Aichi

240

18.

Fukui

42

44.

Oita

65

36.

Tokushima

38

42.

Nagasaki

63

35.

Yamaguchi

82

2.

Aomori

62

41.

Saga

16

45.

Miyazaki

39

46.

Kagoshima

67

30.

Wakayama

24

4.

Miyagi

110

47.

Okinawa

43

39.

Kochi

38

7.

Fukushima

58

10.

Gunma

67

31.

Tottori

21

14.

Kanagawa

245

9.

Tochigi

94

15.

Niigata

126

38.

Ehime

44

27.

Osaka

250

3.

Iwate

45

29.

Nara

52

17.

Ishikawa

44

22.

Shizuoka

157

25.

Shiga

57

33.

Okayama

80

26.

Kyoto

90

1.

Hokkaido

207

13.

Tokyo

284

19.

Yamanashi

37

5.

Akita

36

37.

Kagawa

38

20.

Nagano

80

16.

Toyama

46

28.

Hyogo

161

24.

Mie

76

6.

Yamagata

47

34.

Hiroshima

86

21.

Gifu

76

12.

Chiba

189

Summary Statistics: StDev 12.417816497591971; Min. 1.0; Mean 20.91062236780534; Max. 47.0; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:Q+D2/cnR1MOegvQCL4fYyA==

Size of Municipality

f5791228 Location:

Value

Label

Frequency

Text

1.

Largest cities

912

2.

Cities with population of 200000 or more

1035

4.

Town/village

519

3.

Cities with population of less than 200000

1808

Summary Statistics: Valid 4274.0; StDev 0.9579087102778601; Max. 4.0; Mean 2.452503509592887; Min. 1.0

Variable Format: numeric

Notes: UNF:6:zgSVfSqxjnsu+p501ZpljA==

Is R Female

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2023

1.

Yes

2251

Summary Statistics: Mean 0.5266729059429089; StDev 0.49934646939261673; Valid 4274.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:VQI+xFI2LlBtuuB1DGizIA==

Age

f5791228 Location:

Value

Label

Frequency

Text

7.

80-89 years

173

2.

30-39 years

703

4.

50-59 years

849

3.

40-49 years

693

1.

20-29 years

426

5.

60-69 years

842

6.

70-79 years

588

Summary Statistics: Mean 3.8034627983153775; Max. 7.0; Valid 4274.0; StDev 1.6705561819573287; Min. 1.0

Variable Format: numeric

Notes: UNF:6:+sjti4+jWvQtkWhIYg1OGg==

Form of Self-administrated Questionnaire

f5791228 Location:

Value

Label

Frequency

Text

2.

Form B

2214

1.

Form A

2060

Summary Statistics: Valid 4274.0; Min. 1.0; Max. 2.0; StDev 0.4997337870567413; Mean 1.5180159101544257

Variable Format: numeric

Notes: UNF:6:GNy5j5E7yfTJcOhlO4TQVQ==

Employed?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

1549

1.

Yes

2725

Summary Statistics: Mean 0.6375760411792281; Max. 1.0; Min. 0.0; Valid 4274.0; StDev 0.48075660194893066

Variable Format: numeric

Notes: UNF:6:ytTZGpND3J7ULjMaQl118A==

Work Arrangement

f5791228 Location:

Value

Label

Frequency

Text

5.

Self-employed

325

7.

Don't know

2

1.

Executive of a company or a corporation

167

2.

Regular employee

1431

3.

Temporary worker

620

8.

Not applicable

1549

9.

No answer

0

6.

Family worker

124

4.

Dispatched worker from temporary personnel agency

56

Summary Statistics: StDev 2.721408816698127; Mean 4.653252222742181; Max. 8.0; Min. 1.0; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:h4Hchpy97ihii4H+VGrJPg==

Job Title

f5791228 Location:

Value

Label

Frequency

Text

6.

Other managerial post

12

8.

Not applicable

2843

5.

Department Head, General Manager

68

2.

Group leader, Foreman

125

9.

No answer

11

4.

Section Head, Manager

160

3.

Sub-section Head

156

1.

No managerial post

893

7.

Don't know

6

Summary Statistics: Min. 1.0; Max. 9.0; StDev 2.978660499721795; Valid 4274.0; Mean 5.977538605521781

Variable Format: numeric

Notes: UNF:6:iCk/vOYwF3tGx84R5csTsQ==

Category of Establishment

f5791228 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

4.

Headquarters or main establishment

378

3.

Branch establishment

798

5.

Don't know

60

1.

Government agency

237

2.

Independent establishment

1213

9.

No answer

39

Summary Statistics: Mean 4.588675713617195; Valid 4274.0; Min. 1.0; StDev 2.74174683958947; Max. 9.0

Variable Format: numeric

Notes: UNF:6:twMEsGm1rLd+YgoZnlECHA==

Industry

f5791228 Location:

Value

Label

Frequency

Text

80.

Transportation

139

91.

Wholesale trade

96

999.

No answer

0

70.

Electricity, gas, steam supply, water works

25

30.

Fishery

16

190.

Industries not elsewhere classified

14

998.

Not applicable

0

140.

Medical and welfare services

303

60.

Manufacturing

554

10.

Agriculture

127

40.

Mining

2

150.

Educational and research services

126

180.

Public administration

101

120.

Broadcasting, publishing, advertising, film production

29

160.

Legal and accounting services

30

20.

Forestry

4

110.

Real estate

38

92.

Retail trade

327

50.

Construction

180

130.

Information and communication services

76

93.

Restaurants

111

100.

Financial institutions, insurance

70

170.

Other services

343

Summary Statistics: Max. 190.0; Min. 10.0; Valid 2711.0; StDev 47.09997149403903; Mean 101.79749170047955

Variable Format: numeric

Notes: UNF:6:iRy51WVHItBO1OOGZqjcpA==

Occupation

f5791228 Location:

Value

Label

Frequency

Text

564.

Stenographers, typists, data-entry clerks

4

512.

Public health nurses

1

583.

Waiters/waitresses

44

594.

Police officers, Coast Guards and railroad security officers

7

640.

Other transportation vehicle assemblers/maintenance workers

2

553.

Other managerial occupations

11

602.

Forestry workers

2

667.

Umbrella makers

0

611.

Conductors

1

559.

Accounting clerks

89

567.

Wholesale shop owners

6

516.

Other health care professionals

46

687.

Garbage collectors

46

561.

Bill collectors

5

550.

Managers in companies/organizations

30

589.

Inn owners/managers, hotel managers

2

615.

Radio operators

0

541.

Business management consultants

5

524.

University professors

9

702.

Carpenters

26

518.

Other legal professionals

4

543.

Librarians

3

586.

Entertainment facility service workers

10

705.

Company employees (not further specified)

0

622.

Other quarry workers

0

510.

Pharmacists

8

503.

Mechanical, electrical and chemical engineers

36

651.

Tailors (including kimono tailors)

5

701.

Supermarket and other shop cashiers

9

666.

Seal carvers

0

527.

Religious professionals

7

683.

Railway track layers

0

598.

(pre-war) Professional military service persons

0

560.

Postal/communication clerks

8

656.

Bucket makers, wood/bamboo/leaf/vine product makers

3

570.

Peddlers, hawkers, street stall keepers

2

587.

Tour guides

0

627.

Pig iron/steel makers, smelters

5

501.

Researchers in natural science

2

661.

Painters, drawers, signboard makers

15

658.

Printers, book binders

15

557.

Sales clerks

48

639.

Bicycle assemblers/maintenance workers

0

536.

Veterinarians

1

616.

Wire operators

0

529.

Journalists/reporters, editors

9

522.

Junior high school teachers

9

685.

Warehouse keepers, dockers

20

568.

Restaurant owners

18

704.

Manufacturing workers (not further specified)

8

673.

Boiler technicians, boilermen

4

649.

Textile and weaving machine operators

3

528.

Authors and writers

0

539.

Private instructors

25

647.

Alcoholic beverage makers

1

618.

Mail carriers, telegraph deliverers

7

654.

Cabinet makers, furniture makers, joiners

9

593.

Self Defense Force officials

2

608.

Ships captains/navigators (not of fishing boat), boat pilots

1

601.

Livestock farming workers

9

517.

Judges, public prosecutors, lawyers

0

677.

Electricity/telephone construction workers

14

545.

Senior government officials

5

569.

Shop salespersons

131

653.

Sawmill operators, woodworkers

9

688.

Miscellaneous laborers

22

609.

Ship engine drivers (excluding fishing boat)

0

582.

Bartenders

0

566.

Retail shop owners

42

584.

Flight attendants

0

633.

General mechanical equipment assemblers/repairers

56

670.

Drafters, technical drawers

6

623.

Potters, pottery painters

1

507.

Other engineers and technicians

5

664.

Japanese-style umbrella/lantern/fan makers

0

579.

Barbers, hairdressers, beauticians

30

642.

Optical machine/precision machine assemblers/repairers

5

592.

Other service workers

25

597.

Other protective service workers

7

999.

No answer

0

604.

Fishery workers

13

660.

Shoe makers/repairers, leather/leather goods makers

4

552.

Postmasters, telegraph/telephone office chiefs

1

674.

Crane/construction machine operators

8

532.

Photographers

0

521.

Elementary school teachers

24

511.

Midwives

1

542.

Radio and television announcers

0

600.

Gardeners, landscape gardeners

13

558.

Other office clerks

27

646.

Tobacco makers

1

585.

Club hosts/club hostesses

3

626.

Other ceramic/earthen/stoneware makers

0

508.

Medical doctors (physicians)

13

506.

Information technology engineers

37

606.

Train drivers/locomotive drivers

3

607.

Automobile drivers

78

619.

Other communication workers

0

679.

Plasterers, scaffolding builders

12

652.

Sewers, cutters

14

551.

Station masters

0

621.

Stone cutters

1

614.

Other transportation workers

5

603.

Other agricultural and forestry workers

0

668.

Bag makers

1

663.

Mounters, liners

4

576.

Pawnshop owners/clerks

0

659.

Rubber/plastic goods makers

12

643.

Grain refining/flour milling machine operators

0

537.

Nursery school teachers

25

540.

Real estate appraisers

0

588.

Other personal service workers

0

631.

Iron workers, sheet metal makers

8

565.

Computer and other similar equipment operators

7

672.

Other technical workers/production process workers

30

538.

Social welfare service professionals

14

637.

Ship riggers (not elsewhere classified)

0

549.

Senior officials of special-interest organizations

1

605.

Fishing boat captains/navigators/engine drivers

1

690.

Landowners (before the Agrarian Reform)

0

546.

Diet members

0

612.

Railway workers

0

657.

Paper/paper device/pulp/paper goods makers

7

671.

Projectionists

0

655.

Shipwrights

0

581.

Cooks

67

635.

Automobile assemblers/automobile mechanics

35

577.

Other sales and sales-related workers

16

548.

Chief executives

27

573.

Door-to-door sales (excluding insurance and real estate)

117

636.

Railway car assemblers/repairers

1

590.

Boarding house/apartment/residence/dormitory superintendents

15

675.

Other stationary engine operators

5

571.

Recyclable resource wholesalers/collectors

3

678.

Construction work contractors

8

575.

Real estate agents/traders

13

563.

Transportation clerks

4

648.

Silk mill operators and spinners

3

645.

Miso/soy sauce/canned food/dairy product makers, food makers

54

689.

Occupations not elsewhere classified

4

530.

Sculptors, artistic painters, industrial artists

3

595.

Firefighters

6

591.

Fashion models

0

630.

Metal machine tool makers, platers, metal processors

29

531.

Designers

4

684.

Work site foremen, other construction workers

16

525.

Teachers for the blind, the deaf, and/or the handicapped

4

703.

Teachers (not further specified)

10

504.

Architectural and civil engineers

21

691.

Nominal company executives

0

554.

General affairs/planning clerks

346

509.

Dentists

3

533.

Musicians (excluding private music instructors)

2

625.

Glass/cement goods makers

1

562.

Other outside-duty clerks

4

638.

Aircraft assemblers/aircraft engine mechanics

2

544.

Other professional/technical occupations

14

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

5

680.

Bricklayers, pipe layers

10

514.

Nurses

61

617.

Telephone operators

2

547.

Local parliament members

1

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

644.

Bakers, cake/noodle/tofu makers

17

676.

Power station/substation workers

1

662.

Lacquer painters, gold lacquer painters

1

535.

Professional athletes (excluding private sports instructors)

1

519.

Certified public accountants, tax accountants

4

686.

Transportation laborers

25

629.

Chemical product makers

14

599.

Agricultural/sericultural workers

108

620.

Miners, coal miners

0

580.

Launderers

6

578.

Housemaids, housekeeping service workers

55

572.

Merchandise intermediary occupations

1

624.

Stone masons

0

556.

Shipping/sorting clerks

12

523.

High school teachers

13

998.

Not applicable

0

610.

Aircraft pilots, flight navigators, flight engineers

1

628.

Founders, casters, metal material makers

2

596.

Prison guards, gatekeepers

10

641.

Watch assemblers/repairers

1

574.

Insurance agents/door-to-door insurance sales persons

17

669.

Toy makers

1

526.

Other educational professionals

0

634.

Electric machine and instrument assemblers/repairers

68

555.

Receptionists/information clerks

27

632.

Metal soldering workers

7

513.

Dieticians

2

681.

Tatami mat makers/layers

2

534.

Actors, dancers (excluding private instructors)

3

505.

Agricultural and forestry engineers

0

650.

Bleachers, dyers

3

502.

Researchers in humanities

0

613.

Sailors

1

520.

Kindergarten teachers

5

986.

No occupation

0

682.

Building construction laborers

24

Summary Statistics: Valid 2716.0; Mean 587.0397643593518; Min. 501.0; Max. 704.0; StDev 51.4714307048352

Variable Format: numeric

Notes: UNF:6:iM2cpKOZUywb4cCa9MDI4g==

How many people work at employer?

f5791228 Location:

Value

Label

Frequency

Text

9.

1,000-1,999

110

5.

30-99

349

6.

100-299

289

13.

Don't know

0

3.

5-9

218

11.

10,000 or over

127

10.

2,000-9,999

130

8.

500-999

118

2.

2-4

388

12.

Government agency

0

7.

300-499

111

4.

10-29

363

1.

1

132

99.

No answer

0

88.

Not applicable

0

Summary Statistics: Valid 2335.0; Mean 5.096788008565312; Min. 1.0; Max. 11.0; StDev 2.791998445035347;

Variable Format: numeric

Notes: UNF:6:JALW1fxitbk+quQz1o6aOg==

Joining Labor Union

f5791228 Location:

Value

Label

Frequency

Text

4.

Don't know

65

3.

I am not a member of any labor union.

2122

2.

I am a member of a labor union outside of my workplace.

49

8.

Not applicable

1549

1.

I am a member of a labor union at my workplace.

472

9.

No answer

17

Summary Statistics: StDev 2.6557771665839383; Mean 4.618858212447382; Valid 4274.0; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:cAj4Dwuqn5pvOP+Ua37Ieg==

Satisfaction with Your Job

f5791228 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

5.

Dissatisfied

78

3.

Neither satisfied nor dissatisfied

653

9.

No answer

2

2.

Somewhat satisfied

1083

6.

Don't know

3

4.

Somewhat dissatisfied

196

1.

Satisfied

710

Summary Statistics: Valid 4274.0; Max. 9.0; Mean 4.313757604117895; Min. 1.0; StDev 2.8976717435821473;

Variable Format: numeric

Notes: UNF:6:Hm/a+rXNhb7PjWpFQfOKOw==

Possibility of Loosing Your Job

f5791228 Location:

Value

Label

Frequency

Text

5.

Don't know

162

9.

No answer

2

2.

Fairly likely

321

4.

Not at all likely

1356

8.

Not applicable

1549

1.

Very likely

70

3.

Not too likely

814

Summary Statistics: Mean 5.1001403837154475; StDev 2.297300480096273; Max. 9.0; Min. 1.0; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:MRQ+5508AxUgGYSb5nAbdg==

Does employer import goods?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

467

0.

No

2213

Summary Statistics: Min. 0.0; Max. 1.0; Valid 2680.0; Mean 0.17425373134328362; StDev 0.3793983112247167;

Variable Format: numeric

Notes: UNF:6:EHdDCuDepCt8k96we0fLGA==

Does employer export goods?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

286

0.

No

2394

Summary Statistics: StDev 0.30880998606657667; Mean 0.10671641791044757; Min. 0.0; Valid 2680.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:DsZYhpDt5O/UIz+UR8qOkQ==

Does employer produce goods overseas?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2502

1.

Yes

178

Summary Statistics: Min. 0.0; Valid 2680.0; Mean 0.06641791044776126; StDev 0.24905765805596133; Max. 1.0

Variable Format: numeric

Notes: UNF:6:9IyM7Fxw0JXC6Tcd/U+RNg==

Employer not part of global supply chain

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

2003

0.

No

677

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2680.0; StDev 0.43459132717595234; Mean 0.7473880597014926;

Variable Format: numeric

Notes: UNF:6:PIbKSR7IwL5/OJjYzW0Npw==

Last School Respondent Attended

f5791228 Location:

Value

Label

Frequency

Text

8.

Junior high school

537

5.

Normal school in the old system

3

7.

University/Graduate school in the old system

11

10.

College of technology

162

3.

Junior high school/Girls' high school in the old system

122

14.

Don't know

0

12.

University

787

4.

Vocational school/Commerce school in the old system

24

9.

High school

1791

99.

No answer

0

13.

Graduate school

56

11.

2-year college

391

2.

Higher elementary school in the old system

100

1.

Ordinary elementary school in the old system

55

6.

Higher school or vocational school in the old system

24

Summary Statistics: Mean 9.220034457297583; StDev 2.4188090910202904; Min. 1.0; Max. 13.0; Valid 4063.0;

Variable Format: numeric

Notes: UNF:6:n8yZCU7efrrlVUEPTwh8zw==

Completion of the Last School

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

4092

0.

No

173

Summary Statistics: StDev 0.19729802974293092; Mean 0.9594372801875732; Max. 1.0; Valid 4265.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:06lgBjdD66uMEDtcDeVeiw==

Type of Residential Area

f5791228 Location:

Value

Label

Frequency

Text

9.

No answer

0

4.

New residential area after the war

1601

1.

Area where a number of factories are located

43

3.

Old residential area from the pre-war period

1216

6.

Other

88

5.

Farming/fishing village

799

2.

Area where a number of stores and offices are located

482

Summary Statistics: Mean 3.684558997398913; Valid 4229.0; StDev 1.0039187293640577; Min. 1.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:ySsEPgbivlJ8D15XSAuKGg==

Comparison of Household Income with Others at Age 15

f5791228 Location:

Value

Label

Frequency

Text

3.

Average

1928

9.

No answer

0

2.

Below average

1111

1.

Far below average

409

5.

Far above average

101

4.

Above average

651

Summary Statistics: Mean 2.7438095238095257; Min. 1.0; StDev 0.9164084725694447; Valid 4200.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:VVfVt5elBwnkaFes2Ks8Xg==

Class Rank in the Senior of Junior High School

f5791228 Location:

Value

Label

Frequency

Text

9.

No answer

0

2.

Relatively low

667

5.

High

587

4.

Relatively high

1008

3.

About in the middle

1699

1.

Low

286

Summary Statistics: Mean 3.22203908641394; StDev 1.080554055024272; Valid 4247.0; Min. 1.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:brTHLE7RG8z0XTcBUTiqbg==

Agree with Government Redistribution

f5791228 Location:

Value

Label

Frequency

Text

4.

Somewhat Agree

1384

2.

Somewhat Disagree

212

5.

Agree

1229

3.

Neither agree nor Disagree

1361

1.

Strongly Disagree

69

Summary Statistics: StDev 0.9602073343510902; Min. 1.0; Valid 4255.0; Mean 3.820681551116333; Max. 5.0

Variable Format: numeric

Notes: UNF:6:cERnNMvFhJ1BXsrxGrVrhA==

Political Support

f5791228 Location:

Value

Label

Frequency

Text

7.

There is no particular party I support.

1926

9.

No answer

26

4.

Japanese Communist Party

75

5.

Social Democratic Party

56

1.

Liberal Democratic Party

955

2.

Democratic Party of Japan

742

8.

Don't know

327

6.

Other

8

3.

New Komeito

159

Summary Statistics: Max. 9.0; Min. 1.0; Mean 4.650444548432382; StDev 2.7881668044614614; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:nlv/RIF6rPUvycrgB9AYrQ==

Emotional closeness to town or city of residence

f5791228 Location:

Value

Label

Frequency

Text

1.

Not at all close

33

4.

Very close

641

2.

Not so close

211

3.

Somewhat close

1325

Summary Statistics: Max. 4.0; Valid 2210.0; StDev 0.6467689863426307; Mean 3.1647058823529415; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:bBYGliUWzPRnIgBLhOlV/A==

Acceptance of Foreign Co-workers: China

f5791228 Location:

Value

Label

Frequency

Text

0.

No

717

1.

Yes

1384

Summary Statistics: Valid 2101.0; StDev 0.47424738986671994; Mean 0.6587339362208467; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:3Kxsx45loIBwXf+rKvB1Zw==

Acceptance of Foreign Co-workers: South Korea

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1478

0.

No

619

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.4562340420275717; Mean 0.7048164043872204; Valid 2097.0

Variable Format: numeric

Notes: UNF:6:eqB7fygKTST82Y9J9mPWVQ==

Acceptance of Foreign Co-workers: Taiwan

f5791228 Location:

Value

Label

Frequency

Text

0.

No

565

1.

Yes

1527

Summary Statistics: StDev 0.44410522822461496; Mean 0.7299235181644362; Valid 2092.0; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:62SAho7qiuZk2WL4c8N1jw==

Acceptance of Foreign Co-workers: Southeast Asia

f5791228 Location:

Value

Label

Frequency

Text

0.

No

630

1.

Yes

1455

Summary Statistics: StDev 0.45930363702411414; Max. 1.0; Min. 0.0; Mean 0.6978417266187049; Valid 2085.0

Variable Format: numeric

Notes: UNF:6:PFG16QXs1Jt4Xq3JodzgqQ==

Acceptance of Foreign Co-workers: Europe

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1561

0.

No

529

Summary Statistics: Min. 0.0; Valid 2090.0; StDev 0.43489751338272714; Max. 1.0; Mean 0.7468899521531094

Variable Format: numeric

Notes: UNF:6:PFQ1nWLhUUzfwe6FaVjaZQ==

Acceptance of Foreign Co-workers: North America

f5791228 Location:

Value

Label

Frequency

Text

0.

No

520

1.

Yes

1573

Summary Statistics: StDev 0.4322157403237717; Mean 0.7515527950310561; Valid 2093.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:+hIpkCl4tI7L6NV5XWWMQQ==

Acceptance of Foreign Neighbors: China

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1345

0.

No

761

Summary Statistics: Valid 2106.0; Min. 0.0; Mean 0.6386514719848049; Max. 1.0; StDev 0.48050536054335397

Variable Format: numeric

Notes: UNF:6:L/PQKgzCgMhP4VduGJKhsg==

Acceptance of Foreign Neighbors: South Korea

f5791228 Location:

Value

Label

Frequency

Text

0.

No

650

1.

Yes

1457

Summary Statistics: StDev 0.4619819450203398; Max. 1.0; Min. 0.0; Mean 0.6915045087802569; Valid 2107.0

Variable Format: numeric

Notes: UNF:6:Y471Dzm0/dYy6xfcDDT3Fg==

Acceptance of Foreign Neighbors: Taiwan

f5791228 Location:

Value

Label

Frequency

Text

0.

No

610

1.

Yes

1494

Summary Statistics: StDev 0.4538347139810085; Mean 0.7100760456273777; Max. 1.0; Valid 2104.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:/BlzNZ5I4BH+YPY9QGW32w==

Acceptance of Foreign Neighbors: Southeast Asia

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1408

0.

No

691

Summary Statistics: StDev 0.4700362901632044; Max. 1.0; Mean 0.6707956169604591; Valid 2099.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:JarTeaezqyesNRkeQG1mmA==

Acceptance of Foreign Neighbors: Europe

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1570

0.

No

532

Summary Statistics: Valid 2102.0; Min. 0.0; Max. 1.0; StDev 0.43488683450618854; Mean 0.7469077069457679

Variable Format: numeric

Notes: UNF:6:Qzg5oksjPeaEJ+sA8A08jw==

Acceptance of Foreign Neighbors: North america

f5791228 Location:

Value

Label

Frequency

Text

0.

No

521

1.

Yes

1585

Summary Statistics: Mean 0.7526115859449194; StDev 0.43159684511278074; Valid 2106.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:DYwehgB0o53aTa/4k57L5w==

Acceptance of Foreign Relatives: China

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1184

0.

No

909

Summary Statistics: Mean 0.5656951743908274; Min. 0.0; Valid 2093.0; Max. 1.0; StDev 0.49578380762301677

Variable Format: numeric

Notes: UNF:6:Z8krVZKhe17BZlqqRDgUaA==

Acceptance of Foreign Relatives: South Korea

f5791228 Location:

Value

Label

Frequency

Text

0.

No

838

1.

Yes

1259

Summary Statistics: Max. 1.0; Mean 0.6003814973772049; Min. 0.0; StDev 0.4899367533970428; Valid 2097.0;

Variable Format: numeric

Notes: UNF:6:Ist5AWqeeCr5e7FTZYbH4A==

Acceptance of Foreign Relatives: Taiwan

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1303

0.

No

791

Summary Statistics: Valid 2094.0; Max. 1.0; StDev 0.48493942900567244; Mean 0.6222540592168108; Min. 0.0

Variable Format: numeric

Notes: UNF:6:sDQyL0WEHP+Dk8gJ03uf+g==

Acceptance of Foreign Relatives: Southeast Asia

f5791228 Location:

Value

Label

Frequency

Text

0.

No

870

1.

Yes

1219

Summary Statistics: Mean 0.5835327908089987; Max. 1.0; StDev 0.49309092755503264; Valid 2089.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:b3KYIJfe+uoBZXr0gH4dZA==

Acceptance of Foreign Relatives: Europe

f5791228 Location:

Value

Label

Frequency

Text

0.

No

670

1.

Yes

1424

Summary Statistics: StDev 0.46657282816988993; Mean 0.6800382043935059; Valid 2094.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:xl9Mzll59of3dG0LciNXMQ==

Acceptance of Foreign Relatives: North America

f5791228 Location:

Value

Label

Frequency

Text

0.

No

654

1.

Yes

1441

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2095.0; StDev 0.4634901534231004; Mean 0.6878281622911702

Variable Format: numeric

Notes: UNF:6:ri4vAzardEiBic7xipG15w==

Views on the Restriction of Foreign Products

f5791228 Location:

Value

Label

Frequency

Text

1.

Strongly agree

58

5.

Somewhat disagree

247

2.

Agree

244

7.

Strongly disagree

35

3.

Somewhat agree

485

9.

No answer

9

6.

Disagree

123

4.

Neither agree nor disagree

1013

8.

Not applicable

2060

Summary Statistics: StDev 2.280357592797988; Mean 5.810014038371521; Max. 9.0; Min. 1.0; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:qDwBdz2QhHncxRvyTfQ5mg==

Should follow national interest even if it leads to conflicts with other nations

f5791228 Location:

Value

Label

Frequency

Text

4.

Neither Agree nor Disagree

957

7.

Strongly Agree

72

6.

Agree

276

2.

Disagree

95

1.

Strongly Disagree

22

5.

Somewhat Agree

591

3.

Somewhat Disagree

190

Summary Statistics: Valid 2203.0; Min. 1.0; StDev 1.1139893558396263; Max. 7.0; Mean 4.414434861552428;

Variable Format: numeric

Notes: UNF:6:kWtH2dBXDHHEk7ypmwzW8g==

Views on Globalization: Job Opportunity for Workers in Japan

f5791228 Location:

Value

Label

Frequency

Text

5.

Somewhat bad

333

3.

Somewhat good

397

99.

No answer

23

2.

Good

270

7.

Very bad

42

4.

Neither good nor bad

737

6.

Bad

158

1.

Very good

48

8.

Can't choose

206

88.

Not applicable

2060

Summary Statistics: Min. 1.0; Mean 45.119092185307494; Valid 4274.0; StDev 41.95963419159536; Max. 99.0;

Variable Format: numeric

Notes: UNF:6:QgpjEMRIV2xMqG1Sty++7w==

Does R work for foreign capital company?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

25

0.

No

2083

Summary Statistics: Mean 0.011859582542694591; Max. 1.0; StDev 0.10827970608168694; Min. 0.0; Valid 2108.0

Variable Format: numeric

Notes: UNF:6:k8zXhvNH6pIk3A6lAk7xNQ==

Weight

f5791228 Location:

Summary Statistics: Mean 24112.175011698655; Min. 18823.0; StDev 5200.222966449971; Max. 36734.0; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:G7sy3un6mGmn3vpflsIY2Q==

Consolidated Job Type

f5791228 Location:

Summary Statistics: Min. 1.0; Valid 2723.0; Mean 2.74770473742196; StDev 1.2710639862310744; Max. 6.0

Variable Format: numeric

Notes: UNF:6:2Ny8K1yWhbLesJknnyux4A==

RECODE of job_type

f5791228 Location:

Value

Label

Frequency

Text

1.

Executive

167

3.

Temporary Worker

676

2.

Regular Employee

1431

4.

Self-Employed or Family Worker

449

Summary Statistics: Valid 2723.0; Min. 1.0; Max. 4.0; Mean 2.5167095115681226; StDev 0.8381055482901951;

Variable Format: numeric

Notes: UNF:6:4TNZIUjzcxFVW03cReAi9Q==

Is R a Temp worker?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

676

0.

No

2047

Summary Statistics: StDev 0.4320802227835479; Mean 0.24825560044069042; Max. 1.0; Min. 0.0; Valid 2723.0

Variable Format: numeric

Notes: UNF:6:jA0yxBMsrltda/Sy9avL+A==

Level of management responsibility

f5791228 Location:

Value

Label

Frequency

Text

6.

Executive

167

4.

Section Head, Manager

160

5.

Department Head, General Manager

68

3.

Sub-section head

156

2.

Group leader, Foreman

125

1.

No managerial post

1569

Summary Statistics: Min. 1.0; Max. 6.0; StDev 1.583567091773768; Mean 1.9015590200445425; Valid 2245.0;

Variable Format: numeric

Notes: UNF:6:CQZothpRb2kx57b4DEbREg==

RECODE of mgmt_resp (Level of management responsibility)

f5791228 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.41289861719264; Valid 2570.0; Mean 0.21789883268482532

Variable Format: numeric

Notes: UNF:6:kw+eaY6FxCI16hFL5m0dRw==

How satisfied are you with your job?

f5791228 Location:

Value

Label

Frequency

Text

5.

Satisfied

710

1.

Dissatisfied

78

3.

Neither satisfied nor dissatisfied

653

2.

Somewhat dissatisfied

196

4.

Somewhat satisfied

1083

Summary Statistics: Mean 3.790808823529411; Valid 2720.0; Min. 1.0; Max. 5.0; StDev 1.002015295622827;

Variable Format: numeric

Notes: UNF:6:pUMqodAEyZN5QN2lBDcmzg==

Workplace type

f5791228 Location:

Value

Label

Frequency

Text

4.

Headquarters or main establishment

378

1.

Government agency

237

3.

Branch establishment

798

2.

Independent establishment

1213

Summary Statistics: Min. 1.0; Mean 2.501523229246002; Valid 2626.0; StDev 0.8477407301501132; Max. 4.0

Variable Format: numeric

Notes: UNF:6:mK3XaIL8WntgH4vrOPI0vA==

Employed at headquarters of employer

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

1591

0.

No

798

Summary Statistics: Valid 2389.0; Mean 0.6659690246965254; Max. 1.0; Min. 0.0; StDev 0.471749337997519

Variable Format: numeric

Notes: UNF:6:lXzdr9R0SQGPG3QKej03hQ==

Does R work in manufacturing?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

554

0.

No

2157

Summary Statistics: StDev 0.40330216249428913; Min. 0.0; Valid 2711.0; Max. 1.0; Mean 0.2043526374031717;

Variable Format: numeric

Notes: UNF:6:8/dWMUnEl+c5aEgcMzQKgw==

RECODE of industry (Industry)

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

149

0.

No

2562

Summary Statistics: Mean 0.05496126890446314; Min. 0.0; Valid 2711.0; Max. 1.0; StDev 0.22794669129273698

Variable Format: numeric

Notes: UNF:6:KAEFZhOn88QVzf00hUz8fA==

Does R work in Comparative disadvantage manufacturing?

f5791228 Location:

Summary Statistics: StDev 0.22577232657244023; Max. 1.0; Valid 2711.0; Mean 0.053854666174843385; Min. 0.0

Variable Format: numeric

Notes: UNF:6:tldB1NMDep8nd0bu+pHwng==

manu_disadv

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2303

1.

Yes

408

Summary Statistics: StDev 0.35762481512154787; Valid 2711.0; Mean 0.15049797122832917; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:iq1QAHQsZVHqWN5uiPHIOQ==

Does R work in Comparative Disadvantage Sector?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2154

1.

Yes

557

Summary Statistics: Min. 0.0; Mean 0.20545924013279235; Max. 1.0; Valid 2711.0; StDev 0.4041113448761182

Variable Format: numeric

Notes: UNF:6:kANp0XDVbEWDShku/cxExg==

Union Member?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2187

1.

Yes

521

Summary Statistics: Min. 0.0; Mean 0.19239290989660254; StDev 0.39425280806777707; Valid 2708.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:iyfpZfWD7DMLD2OHTmS6TQ==

Is R a college/university graduate?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

854

0.

No

3209

Summary Statistics: StDev 0.40749325376555123; Min. 0.0; Valid 4063.0; Max. 1.0; Mean 0.21018951513659806;

Variable Format: numeric

Notes: UNF:6:w3RvBDPWwo45xndrEKX8Iw==

Including CoT in college graduates

f5791228 Location:

Summary Statistics: Valid 4063.0; Max. 1.0; StDev 0.43310152246161254; Min. 0.0; Mean 0.25006153088850674

Variable Format: numeric

Notes: UNF:6:s0RHXVOemU7Bjw6zloC0pg==

RECODE of emp_size (How many people work at employer?)

f5791228 Location:

Summary Statistics: Mean 0.15717344753747303; Valid 2335.0; StDev 0.3640421837484046; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:y77D6f+jqWEZjJz+WPCVIA==

Does employer have >299 employees?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

596

0.

No

1739

Summary Statistics: Valid 2335.0; StDev 0.4360929367062; Min. 0.0; Mean 0.2552462526766596; Max. 1.0

Variable Format: numeric

Notes: UNF:6:zVNEqnycn6BzSWyyl2oKCg==

Does employer both import and export goods?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2546

1.

Yes

134

Summary Statistics: StDev 0.21798561993042662; Mean 0.04999999999999982; Min. 0.0; Valid 2680.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:7xQ+Ts49pjMCcEKUCkPuhQ==

Employer is part of global supply chain

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

688

0.

No

1993

Summary Statistics: Valid 2681.0; Min. 0.0; Max. 1.0; Mean 0.2566206639313689; StDev 0.43684972279284146

Variable Format: numeric

Notes: UNF:6:Q0H7Yn116H+WarGtqe8Lyg==

emp_glob_ord

f5791228 Location:

Summary Statistics: Max. 2.0; Min. 0.0; Valid 1623.0; StDev 0.6998817051024909; Mean 0.5446703635243346

Variable Format: numeric

Notes: UNF:6:NpUCEawdpUip2oNDo+DK5Q==

Probability of losing job in next 12 months

f5791228 Location:

Value

Label

Frequency

Text

1.

Not at all likely

1356

3.

Fairly likely

321

4.

Very likely

70

2.

Not too likely

814

Summary Statistics: Mean 1.6505271378367827; Max. 4.0; Valid 2561.0; StDev 0.801420074667264; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:IRfyuN+HW8yx12DZlZNThg==

pid

f5791228 Location:

Summary Statistics: Mean 4.342259627646015; StDev 2.705091928522928; Valid 3921.0; Max. 7.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:FJy0Szko5znlwPbgAiSftQ==

Does R support DPJ?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

3179

1.

Yes

742

Summary Statistics: Valid 3921.0; Min. 0.0; Max. 1.0; StDev 0.39174707451855045; Mean 0.18923743942871735

Variable Format: numeric

Notes: UNF:6:Uyho61yPhRKbnk7+Pvi//g==

Does R support leftist parties?

f5791228 Location:

Value

Label

Frequency

Text

1.

Yes

131

0.

No

3790

Summary Statistics: Mean 0.03340984442744203; Min. 0.0; Max. 1.0; Valid 3921.0; StDev 0.17972719575194082;

Variable Format: numeric

Notes: UNF:6:pZ+gxr484NzlhGcBopsEKQ==

Does R support LDP?

f5791228 Location:

Value

Label

Frequency

Text

0.

No

2966

1.

Yes

955

Summary Statistics: Valid 3921.0; Min. 0.0; Max. 1.0; Mean 0.24356031624585628; StDev 0.4292850897265489;

Variable Format: numeric

Notes: UNF:6:3FeXJTnAJVKHKUkon8D67w==

Japan should limit imports

f5791228 Location:

Value

Label

Frequency

Text

4.

Neither Agree nor Disagree

1013

1.

Strongly Disagree

35

6.

Agree

244

7.

Strongly Agree

58

3.

Somewhat Disagree

247

2.

Disagree

123

5.

Somewhat Agree

485

Summary Statistics: StDev 1.1471400174511337; Max. 7.0; Valid 2205.0; Min. 1.0; Mean 4.248979591836737

Variable Format: numeric

Notes: UNF:6:WnCG1EE7BsbfBkvlet+v1A==

Globalization good for Japanese workers

f5791228 Location:

Value

Label

Frequency

Text

4.

Neither Agree nor Disagree

737

1.

Strongly Disagree

42

5.

Somewhat Agree

397

7.

Strongly Agree

48

6.

Agree

270

3.

Somewhat Disagree

333

2.

Disagree

158

Summary Statistics: Min. 1.0; Max. 7.0; Valid 1985.0; StDev 1.2709590080702882; Mean 4.154156171284635;

Variable Format: numeric

Notes: UNF:6:rnFc33eIeE3pRek+X3Hz5g==

RECODE of xeno_coworkers_kr (Acceptance of Foreign Co-workers: South Korea)

f5791228 Location:

Summary Statistics: Max. 1.0; Valid 4274.0; Mean 0.49064108563407144; Min. 0.0; StDev 0.4999708962803581

Variable Format: numeric

Notes: UNF:6:CTb1XC3OvwqN1QZs+8qh8Q==

RECODE of xeno_coworkers_tw (Acceptance of Foreign Co-workers: Taiwan)

f5791228 Location:

Summary Statistics: Valid 4274.0; Mean 0.4894712213383232; Max. 1.0; StDev 0.4999476230371994; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:u7q7B0maQNGyHCkFb3vEvA==

RECODE of xeno_coworkers_cn (Acceptance of Foreign Co-workers: China)

f5791228 Location:

Summary Statistics: StDev 0.4999875428297241; Valid 4274.0; Min. 0.0; Max. 1.0; Mean 0.4915769770706612;

Variable Format: numeric

Notes: UNF:6:7WspIGGxMOtTcuY4Lxr1ag==

RECODE of xeno_coworkers_sa (Acceptance of Foreign Co-workers: Southeast Asia)

f5791228 Location:

Summary Statistics: StDev 0.49991043836039567; Max. 1.0; Valid 4274.0; Mean 0.4878334113242951; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:VPqnzryK8XbAj160HUcnuw==

RECODE of xeno_coworkers_eu (Acceptance of Foreign Co-workers: Europe)

f5791228 Location:

Summary Statistics: Mean 0.4890032756200392; Valid 4274.0; Max. 1.0; Min. 0.0; StDev 0.49993754675584595;

Variable Format: numeric

Notes: UNF:6:UJJgfo4nQR7B+5z2WvNxsQ==

RECODE of xeno_coworkers_na (Acceptance of Foreign Co-workers: North America)

f5791228 Location:

Summary Statistics: Mean 0.48970519419747605; StDev 0.49995249681778614; Max. 1.0; Min. 0.0; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:BnESyG2ki0MSajY86RKpbA==

xeno_coworkers_nonmiss

f5791228 Location:

Summary Statistics: Max. 6.0; Valid 4274.0; Mean 2.9382311651848796; Min. 0.0; StDev 2.992137799185812

Variable Format: numeric

Notes: UNF:6:PBWCTRNWJy4giJvnosDkJg==

xeno_coworkers_tot

f5791228 Location:

Summary Statistics: StDev 2.3072580337472153; Valid 4274.0; Mean 1.7767898923724461; Max. 5.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:R8i7is7h9EUIx9xD7m+iVQ==

xeno_coworkers_avg

f5791228 Location:

Summary Statistics: Valid 2107.0; Mean 0.6042951954432331; StDev 0.341372088110146; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:jpF3DySZpqCJ0DizuxfSAg==

RECODE of xeno_neighbors_kr (Acceptance of Foreign Neighbors: South Korea)

f5791228 Location:

Summary Statistics: Mean 0.4929808142255366; Max. 1.0; Min. 0.0; Valid 4274.0; StDev 0.500009226319468

Variable Format: numeric

Notes: UNF:6:oZA8tgMmNuXMz4dMBjkVzQ==

RECODE of xeno_neighbors_tw (Acceptance of Foreign Neighbors: Taiwan)

f5791228 Location:

Summary Statistics: StDev 0.4999988774984538; Mean 0.4922788956480997; Min. 0.0; Max. 1.0; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:Fp0XLNztr4JDCd/I/WWmEw==

RECODE of xeno_neighbors_cn (Acceptance of Foreign Neighbors: China)

f5791228 Location:

Summary Statistics: Min. 0.0; Mean 0.49274684136640495; Max. 1.0; StDev 0.5000058862472098; Valid 4274.0

Variable Format: numeric

Notes: UNF:6:gOE7kxyH7Dns0o18Mvkzvg==

RECODE of xeno_neighbors_sa (Acceptance of Foreign Neighbors: Southeast Asia)

f5791228 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 4274.0; Mean 0.4911090313523555; StDev 0.49997943865784467

Variable Format: numeric

Notes: UNF:6:OYw6uCoFnK8qBUbKaXE4Pw==

RECODE of xeno_neighbors_eu (Acceptance of Foreign Neighbors: Europe)

f5791228 Location:

Summary Statistics: StDev 0.49999143059529316; Valid 4274.0; Max. 1.0; Mean 0.49181094992981406; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:bzG+Ronp4t4LNLk0Vt1PlQ==

RECODE of xeno_neighbors_na (Acceptance of Foreign Neighbors: North america)

f5791228 Location:

Summary Statistics: StDev 0.5000058862472098; Mean 0.49274684136640495; Max. 1.0; Valid 4274.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:PJjgXkVAZiSsxyUPYz5W3A==

xeno_neighbors_nonmiss

f5791228 Location:

Summary Statistics: StDev 2.9933551235020994; Mean 2.9536733738885803; Max. 6.0; Valid 4274.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:f++N2N7By5uJ4WWsnGQ3uQ==

xeno_neighbors_tot

f5791228 Location:

Summary Statistics: Mean 1.7580720636406237; Min. 0.0; Max. 5.0; StDev 2.2928498488041007; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:JvVxvrskw9NWTTuGAqIEPA==

xeno_neighbors_avg

f5791228 Location:

Summary Statistics: Mean 0.5958589091932213; Valid 2117.0; Min. 0.0; Max. 1.0; StDev 0.34374784202830716;

Variable Format: numeric

Notes: UNF:6:H3PnQ5eEyLUKUfZN2xwGLA==

RECODE of xeno_marriage_kr (Acceptance of Foreign Relatives: South Korea)

f5791228 Location:

Summary Statistics: Valid 4274.0; StDev 0.4999708962803583; Max. 1.0; Mean 0.49064108563407066; Min. 0.0

Variable Format: numeric

Notes: UNF:6:B5KqBnshs/I8qn4J+LAveA==

RECODE of xeno_marriage_tw (Acceptance of Foreign Relatives: Taiwan)

f5791228 Location:

Summary Statistics: Min. 0.0; Valid 4274.0; StDev 0.49995726102931287; Mean 0.48993916705662893; Max. 1.0

Variable Format: numeric

Notes: UNF:6:zIjAIvsT9rfsxSVK+joTdA==

RECODE of xeno_marriage_cn (Acceptance of Foreign Relatives: China)

f5791228 Location:

Summary Statistics: Min. 0.0; Mean 0.48970519419747516; StDev 0.4999524968177864; Max. 1.0; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:k6G9OkL13ABBlARUGrJmXg==

RECODE of xeno_marriage_sa (Acceptance of Foreign Relatives: Southeast Asia)

f5791228 Location:

Summary Statistics: Max. 1.0; Valid 4274.0; Min. 0.0; StDev 0.4999323442484561; Mean 0.4887693027608841

Variable Format: numeric

Notes: UNF:6:3GXzVoXf1c5Wjt4C6p6lyw==

RECODE of xeno_marriage_eu (Acceptance of Foreign Relatives: Europe)

f5791228 Location:

Summary Statistics: StDev 0.4999572610293128; Max. 1.0; Min. 0.0; Mean 0.48993916705662893; Valid 4274.0;

Variable Format: numeric

Notes: UNF:6:QFapHF+heUjqQyfcDO7dMQ==

RECODE of xeno_marriage_na (Acceptance of Foreign Relatives: North America)

f5791228 Location:

Summary Statistics: Valid 4274.0; Max. 1.0; StDev 0.4999619156748936; Mean 0.49017313991576034; Min. 0.0

Variable Format: numeric

Notes: UNF:6:4sCj6CVrzP8nEMKUb7DeUQ==

xeno_marriage_nonmiss

f5791228 Location:

Summary Statistics: Max. 6.0; Min. 0.0; StDev 2.9945806200984957; Valid 4274.0; Mean 2.93916705662139

Variable Format: numeric

Notes: UNF:6:yI6Z6tgIPAOMkj6PBSfTkg==

xeno_marriage_tot

f5791228 Location:

Summary Statistics: Min. 0.0; Valid 4274.0; Max. 5.0; StDev 2.2150675882494686; Mean 1.5549836218998232

Variable Format: numeric

Notes: UNF:6:x+/9KAfWPQ4Sd0lKNA1GhQ==

xeno_marriage_avg

f5791228 Location:

Summary Statistics: Min. 0.0; Mean 0.5299604025490201; StDev 0.36994511283091874; Valid 2105.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:SyYalvmKK3civ+ZJX6uuCw==

cosmo_avg

f5791228 Location:

Summary Statistics: Mean 0.575919647824871; Valid 2069.0; StDev 0.30713097972960623; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:bL3Z/fJhL3wUjbrPIfooxQ==

RECODE of industry (Industry)

f5791228 Location:

Value

Label

Frequency

Text

4.

Government

101

2.

Services

1893

1.

Primary

149

3.

Manufacturing

554

Summary Statistics: Min. 1.0; Valid 2697.0; Max. 4.0; StDev 0.5999460947733662; Mean 2.225064886911383;

Variable Format: numeric

Notes: UNF:6:C2VTuqSYVhAkgFtpaxmurw==

manu_serv

f5791228 Location:

Summary Statistics: Min. 1.0; Mean 1.7736003269309362; Max. 2.0; StDev 0.4185862693513939; Valid 2447.0

Variable Format: numeric

Notes: UNF:6:Cav3/CDcbuhWLp53h6Ap1g==

mean_trade

f5791228 Location:

Summary Statistics: Max. 5.0714287757873535; Valid 4274.0; Mean 4.255402952809171; StDev 0.19408462747833913; Min. 3.9200000762939453

Variable Format: numeric

Notes: UNF:6:r/Hd1IpPKzuKF+SYCQa6cQ==

total_emp_glob

f5791228 Location:

Summary Statistics: StDev 16.81369293921649; Valid 4274.0; Max. 55.0; Min. 0.0; Mean 24.214553111839038;

Variable Format: numeric

Notes: UNF:6:EX2ZgQ1PlyT0J5Id4p5Fag==

total_emp

f5791228 Location:

Summary Statistics: StDev 54.55668571567726; Valid 4274.0; Min. 6.0; Mean 91.80159101544221; Max. 188.0;

Variable Format: numeric

Notes: UNF:6:thW/ZgXkPVBbzQQzoyUhVw==

emp_glob_pct

f5791228 Location:

Summary Statistics: Mean 0.2521654769262255; Min. 0.0; Max. 0.4615384638309479; Valid 4274.0; StDev 0.09022354089428936

Variable Format: numeric

Notes: UNF:6:R22PENXZ+xgT60LVMZqKZg==

(mean) nr_cog_anal

f5791228 Location:

Summary Statistics: Max. 2.473620653152466; StDev 0.9947670073201258; Valid 3996.0; Min. -2.27079439163208; Mean 1.1475777838687147

Variable Format: numeric

Notes: UNF:6:QY+jc8oxvzU8Qes214XGtQ==

(mean) nr_cog_pers

f5791228 Location:

Summary Statistics: StDev 1.3049114123861347; Max. 3.1973540782928467; Mean 1.6643473551990637; Valid 3996.0; Min. -2.582540512084961

Variable Format: numeric

Notes: UNF:6:cjKc5YRGBLP5KDojZ/kXXw==

(mean) r_cog

f5791228 Location:

Summary Statistics: Min. -2.686764717102051; Valid 3996.0; StDev 0.6021146063161622; Mean 0.1317777261455709; Max. 4.229897499084473;

Variable Format: numeric

Notes: UNF:6:if2vH4XMnccQXXqrdHk4Gg==

(mean) r_man

f5791228 Location:

Summary Statistics: Max. 3.463386297225952; Mean -1.0530587693875992; StDev 0.7928900319928204; Min. -1.820487380027771; Valid 3996.0

Variable Format: numeric

Notes: UNF:6:+uwPKca0KR0TGLQo818vAA==

(mean) nr_man_phys

f5791228 Location:

Summary Statistics: StDev 0.8201756628356851; Valid 3996.0; Mean -1.1739956978327093; Min. -1.6571695804595947; Max. 2.384418487548828

Variable Format: numeric

Notes: UNF:6:MPJeK2m4IGoW7gLhb//J8w==

(mean) nr_man_pers

f5791228 Location:

Summary Statistics: Valid 3996.0; Mean 0.6739639476560738; Max. 2.4847705364227295; StDev 0.7400093082638635; Min. -4.433651924133301

Variable Format: numeric

Notes: UNF:6:EttsYGd0nIgwad0h34i2UA==

(mean) offshor

f5791228 Location:

Summary Statistics: StDev 0.7545187502971744; Mean 1.0259905845614652; Valid 3996.0; Min. -3.2335009574890137; Max. 2.5457234382629395

Variable Format: numeric

Notes: UNF:6:V0syAEPZmSWS182ari1WZQ==

(rawsum) socwt

f5791228 Location:

Summary Statistics: StDev 1224142.2454555468; Valid 3996.0; Min. 5220.0; Mean 1189585.7617896006; Max. 1.314806E7

Variable Format: numeric

Notes: UNF:6:ZHgImBdEdQFiCkr+d7UwYA==

Census occupation code 1990

f5791228 Location:

Value

Label

Frequency

Text

56.

Industrial engineers

1

156.

Primary school teachers

13

276.

Cashiers

10

206.

Radiologic tech specialists

2

277.

Door-to-door sales, street sales, and news vendors

0

526.

Repairers of household appliances and power tools

1

25.

Other financial specialists

6

503.

Supervisors of mechanics and repairers

0

434.

Bartenders

19

193.

Dancers

0

174.

Social workers

1

3.

Legislators

0

13.

Managers and specialists in marketing, advertising, and public relations

2

375.

Insurance adjusters, examiners, and investigators

2

89.

Other health and therapy

2

745.

Shoemaking machine operators

1

407.

Private household cleaners and servants

0

784.

Solderers

0

756.

Mixing and blending machine operatives

0

43.

Architects

2

17.

Managers of food-serving and lodging establishments

2

853.

Excavating and loading machine operators

0

85.

Dentists

1

254.

Real estate sales occupations

9

563.

Masons, tilers, and carpet installers

1

514.

Auto body repairers

2

888.

Packers and packagers by hand

19

509.

Small engine repairers

1

645.

Patternmakers and model makers

1

67.

Statisticians

0

824.

Locomotive operators (engineers and firemen)

0

848.

Crane, derrick, winch, and hoist operators

2

573.

Drywall installers

1

15.

Managers of medicine and health occupations

1

764.

Washing, cleaning, and pickling machine operators

1

475.

Farm managers, except for horticultural farms

0

116.

Physics instructors

0

667.

Tailors

0

77.

Agricultural and food scientists

0

73.

Chemists

0

558.

Supervisors of construction work

0

455.

Pest control occupations

1

588.

Concrete and cement workers

4

106.

Physicians' assistants

2

336.

Records clerks

1

157.

Secondary school teachers

15

659.

Other precision woodworkers

0

64.

Computer systems analysts and computer scientists

11

253.

Insurance sales occupations

1

348.

Telephone operators

2

113.

Earth, environmental, and marine science instructors

0

877.

Stock handlers

0

813.

Parking lot attendants

1

488.

Graders and sorters of agricultural products

0

213.

Electrical and electronic (engineering) technicians

0

114.

Biological science instructors

0

708.

Drilling and boring machine operators

1

525.

Repairers of data processing equipment

1

417.

Fire fighting, prevention, and inspection

3

859.

Misc material moving occupations

1

8.

Human resources and labor relations managers

1

885.

Garage and service station related occupations

1

215.

Mechanical engineering technicians

0

183.

Writers and authors

1

728.

Shaping and joining machine operator (woodworking)

0

378.

Bill and account collectors

5

217.

Drafters

4

154.

Subject instructors (HS/college)

5

55.

Electrical engineer

11

175.

Recreation workers

1

539.

Repairers of mechanical controls and valves

0

459.

Recreation facility attendants

1

57.

Mechanical engineers

1

687.

Bakers

6

228.

Broadcast equipment operators

0

457.

Barbers

11

233.

Programmers of numerically controlled machine tools

0

427.

Protective services, n.e.c.

2

127.

Engineering instructors

0

453.

Janitors

0

318.

Transportation ticket and reservation agents

1

125.

Sociology instructors

0

485.

Supervisors of agricultural occupations

1

425.

Crossing guards and bridge tenders

1

204.

Dental hygenists

1

707.

Rollers, roll hands, and finishers of metal

1

783.

Welders and metal cutters

2

16.

Postmasters and mail superintendents

1

883.

Freight, stock, and materials handlers

1

205.

Health record tech specialists

1

674.

Other precision apparel and fabric workers

0

447.

Nursing aides, orderlies, and attendants

5

387.

Teacher's aides

0

26.

Management analysts

1

415.

Supervisors of guards

1

185.

Designers

2

738.

Winding and twisting textile/apparel operatives

2

256.

Advertising and related sales jobs

0

496.

Timber, logging, and forestry workers

2

694.

Water and sewage treatment plant operators

4

104.

Speech therapists

1

688.

Batch food makers

1

21.

Managers of service organizations, n.e.c.

5

384.

Proofreaders

1

119.

Economics instructors

0

538.

Office machine repairers and mechanics

0

479.

Farm workers

0

595.

Roofers and slaters

0

498.

Fishers, hunters, and kindred

1

275.

Retail sales clerks

1

727.

Sawing machine operators and sawyers

1

76.

Physical scientists, n.e.c.

0

596.

Sheet metal duct installers

0

337.

Bookkeepers and accounting and auditing clerks

42

53.

Civil engineers

2

684.

Other precision and craft workers

0

779.

Machine operators, n.e.c.

1

834.

Water transport infrastructure tenders and crossing guards

0

543.

Elevator installers and repairers

1

96.

Pharmacists

3

686.

Butchers and meat cutters

4

79.

Foresters and conservation scientists

0

218.

Surveyors, cartographers, mapping scientists and technicians

4

179.

Judges

0

75.

Geologists

0

323.

Information clerks, nec

0

594.

Paving, surfacing, and tamping equipment operators

0

186.

Musician or composer

0

723.

Metal platers

1

693.

Adjusters and calibrators

0

159.

Teachers , n.e.c.

13

666.

Dressmakers and seamstresses

2

823.

Railroad conductors and yardmasters

0

646.

Lay-out workers

1

24.

Insurance underwriters

11

68.

Mathematicians and mathematical scientists

0

577.

Electric power installers and repairers

3

536.

Locksmiths and safe repairers

1

214.

Engineering technicians, n.e.c.

1

66.

Actuaries

0

759.

Painting machine operators

0

235.

Technicians, n.e.c.

0

354.

Postal clerks, excluding mail carriers

1

753.

Cementing and gluing maching operators

0

189.

Photographers

1

616.

Miners

0

99.

Occupational therapists

25

379.

General office clerks

0

486.

Gardeners and groundskeepers

7

508.

Aircraft mechanics

2

808.

Bus drivers

1

733.

Other woodworking machine operators

1

74.

Atmospheric and space scientists

0

765.

Paper folding machine operators

2

169.

Social scientists, n.e.c.

0

634.

Tool and die makers and die setters

1

83.

Medical scientists

0

18.

Managers of properties and real estate

1

628.

Production supervisors or foremen

0

163.

Vocational and educational counselors

4

809.

Taxi cab drivers and chauffeurs

13

796.

Production checkers and inspectors

0

703.

Lathe, milling, and turning machine operatives

1

889.

Laborers outside construction

13

754.

Packers, fillers, and wrappers

0

168.

Sociologists

0

176.

Clergy and religious workers

3

234.

Legal assistants, paralegals, legal support, etc

1

575.

Electricians

6

874.

Production helpers

0

128.

Math instructors

0

999.

Unknown

0

617.

Other mining occupations

1

615.

Explosives workers

0

887.

Vehicle washers and equipment cleaners

0

658.

Furniture and wood finishers

1

991.

Unemployed

0

303.

Office supervisors

0

456.

Supervisors of personal service jobs, n.e.c.

1

729.

Nail and tacking machine operators (woodworking)

1

567.

Carpenters

21

653.

Tinsmiths, coppersmiths, and sheet metal workers

0

644.

Precision grinders and filers

0

438.

Food counter and fountain workers

0

364.

Shipping and receiving clerks

2

243.

Supervisors and proprietors of sales jobs

2

357.

Messengers

1

436.

Cooks, variously defined

43

523.

Repairers of industrial electrical equipment

2

314.

Stenographers

0

33.

Purchasing managers, agents and buyers, n.e.c.

2

865.

Helpers, constructions

1

368.

Weighers, measurers, and checkers

1

695.

Power plant operators

1

359.

Dispatchers

1

643.

Boilermakers

0

476.

Managers of horticultural specialty farms

0

743.

Textile cutting machine operators

0

88.

Podiatrists

1

365.

Stock and inventory clerks

2

255.

Financial services sales occupations

1

47.

Petroleum, mining, and geological engineers

0

226.

Airplane pilots and navigators

0

487.

Animal caretakers except on farms

0

748.

Laundry workers

1

534.

Heating, air conditioning, and refigeration mechanics

0

589.

Glaziers

0

597.

Structural metal workers

2

373.

Material recording, scheduling, production, planning, and expediting clerks

3

184.

Technical writers

1

464.

Baggage porters

5

768.

Crushing and grinding machine operators

0

178.

Lawyers

0

736.

Typesetters and compositors

5

115.

Chemistry instructors

0

22.

Managers and administrators, n.e.c.

4

283.

Sales demonstrators / promoters / models

0

95.

Registered nurses

4

208.

Health technologists and technicians, n.e.c.

1

668.

Upholsterers

0

343.

Cost and rate clerks (financial records processing)

0

4.

Chief executives and public administrators

2865

147.

Theology instructors

0

328.

Human resources clerks, except payroll and timekeeping

1

533.

Repairers of electrical equipment, n.e.c.

1

726.

Wood lathe, routing, and planing machine operators

1

844.

Operating engineers of construction equipment

0

803.

Supervisors of motor vehicle transportation

3

7.

Financial managers

0

165.

Archivists and curators

1

385.

Data entry keyers

2

150.

Humanities profs/instructors, college, nec

0

875.

Garbage and recyclable material collectors

3

194.

Art/entertainment performers and related

1

87.

Optometrists

0

744.

Textile sewing machine operators

1

675.

Hand molders and shapers, except jewelers

0

105.

Therapists, n.e.c.

3

316.

Interviewers, enumerators, and surveyors

16

23.

Accountants and auditors

1

338.

Payroll and timekeeping clerks

1

308.

Computer and peripheral equipment operators

0

518.

Industrial machinery repairers

0

203.

Clinical laboratory technologies and technicians

0

829.

Ship crews and marine engineers

1

637.

Machinists

1

78.

Biological scientists

0

366.

Meter readers

0

599.

Construction trades, n.e.c.

2

489.

Inspectors of agricultural products

2

799.

Graders and sorters in manufacturing

0

139.

Education instructors

0

386.

Statistical clerks

0

474.

Horticultural specialty farmers

0

789.

Hand painting, coating, and decorating occupations

0

188.

Art makers: painters, sculptors, craft-artists, and print-makers

0

69.

Physicists and astronomers

0

774.

Photographic process workers

0

583.

Paperhangers

1

317.

Hotel clerks

1

766.

Furnace, kiln, and oven operators, apart from food

0

37.

Management support occupations

1

65.

Operations and systems researchers and analysts

1

709.

Grinding, abrading, buffing, and polishing workers

1

734.

Printing machine operators, n.e.c.

0

329.

Library assistants

1

677.

Optical goods workers

0

755.

Extruding and forming machine operators

2

35.

Construction inspectors

2

669.

Shoe repairers

0

869.

Construction laborers

6

335.

File clerks

0

785.

Assemblers of electrical equipment

10

347.

Office machine operators, n.e.c.

0

773.

Motion picture projectionists

0

679.

Bookbinders

0

579.

Painters, construction and maintenance

2

345.

Duplication machine operators / office machine operators

0

173.

Urban and regional planners

1

757.

Separating, filtering, and clarifying machine operators

0

735.

Photoengravers and lithographers

0

166.

Economists, market researchers, and survey researchers

1

724.

Heat treating equipment operators

0

544.

Millwrights

7

84.

Physicians

6

435.

Waiter/waitress

1

866.

Helpers, surveyors

1

274.

Salespersons, n.e.c.

152

225.

Other science technicians

0

445.

Dental assistants

2

389.

Administrative support jobs, n.e.c.

1

167.

Psychologists

0

473.

Farmers (owners and tenants)

0

505.

Automobile mechanics

1

45.

Metallurgical and materials engineers, variously phrased

0

349.

Other telecom operators

0

535.

Precision makers, repairers, and smiths

2

44.

Aerospace engineer

1

103.

Physical therapists

2

97.

Dietitians and nutritionists

2

27.

Personnel, HR, training, and labor relations specialists

1

719.

Molders, and casting machine operators

1

118.

Psychology instructors

0

749.

Misc textile machine operators

1

355.

Mail carriers for postal service

1

223.

Biological technicians

0

444.

Misc food prep workers

21

418.

Police, detectives, and private investigators

2

739.

Knitters, loopers, and toppers textile operatives

0

593.

Insulation workers

0

164.

Librarians

1

527.

Telecom and line installers and repairers

4

315.

Typists

0

448.

Supervisors of cleaning and building service

12

463.

Public transportation attendants and inspectors

2

86.

Veterinarians

0

158.

Special education teachers

1

383.

Bank tellers

3

14.

Managers in education and related fields

1

469.

Personal service occupations, nec

3

344.

Billing clerks and related financial records processing

1

443.

Waiter's assistant

1

224.

Chemical technicians

0

227.

Air traffic controllers

0

876.

Materials movers: stevedores and longshore workers

0

769.

Slicing and cutting machine operators

5

696.

Plant and system operators, stationary engineers

3

59.

Not-elsewhere-classified engineers

4

462.

Ushers

4

187.

Actors, directors, producers

2

155.

Kindergarten and earlier school teachers

10

825.

Railroad brake, coupler, and switch operators

0

484.

Nursery farming workers

0

804.

Truck, delivery, and tractor drivers

4

198.

Announcers

0

195.

Editors and reporters

3

706.

Punching and stamping press operatives

3

878.

Machine feeders and offbearers

0

446.

Health aides, except nursing

0

905.

Military

0

516.

Heavy equipment and farm equipment mechanics

1

699.

Other plant and system operators

0

376.

Customer service reps, investigators and adjusters, except insurance

1

36.

Inspectors and compliance officers, outside construction

1

34.

Business and promotion agents

0

356.

Mail clerks, outside of post office

1

123.

History instructors

0

426.

Guards, watchmen, doorkeepers

1

200.

Professionals, n.e.c.

0

717.

Fabricating machine operators, n.e.c.

0

649.

Engravers

0

747.

Pressing machine operators (clothing)

1

584.

Plasterers

4

19.

Funeral directors

1

145.

Law instructors

0

229.

Computer software developers

4

199.

Athletes, sports instructors, and officials

3

458.

Hairdressers and cosmetologists

2

713.

Forge and hammer operators

1

28.

Purchasing agents and buyers, of farm products

1

454.

Elevator operators

1

483.

Marine life cultivation workers

0

29.

Buyers, wholesale and retail trade

1

585.

Plumbers, pipe fitters, and steamfitters

2

361.

Inspectors, n.e.c.

0

468.

Child care workers

0

763.

Roasting and baking machine operators (food)

0

319.

Receptionists

14

423.

Other law enforcement: sheriffs, bailiffs, correctional institution officers

1

405.

Housekeepers, maids, butlers, stewards, and lodging quarters cleaners

2

98.

Respiratory therapists

1

657.

Cabinetmakers and bench carpenters

2

439.

Kitchen workers

1

149.

Home economics instructors

0

326.

Correspondence and order clerks

168

207.

Licensed practical nurses

30

614.

Drillers of oil wells

0

507.

Bus, truck, and stationary engine mechanics

8

313.

Secretaries

1

678.

Dental laboratory and medical appliance technicians

2

465.

Welfare service aides

4

519.

Machinery maintenance occupations

0

549.

Mechanics and repairers, n.e.c.

1

598.

Drillers of earth

0

346.

Mail and paper handlers

5

377.

Eligibility clerks for government programs; social welfare

0

48.

Chemical engineers

1

461.

Guides

1

258.

Sales engineers

1

Summary Statistics: Max. 889.0; Mean 106.65865865866039; StDev 198.65653809468895; Min. 4.0; Valid 3996.0

Variable Format: numeric

Notes: UNF:6:S5PksYbromK05flI/I3OuA==

(sum) lswt

f5791228 Location:

Summary Statistics: Mean 1292068.1374104156; Valid 3996.0; Max. 4201393.274366621; StDev 592657.2212403215; Min. 8909.691393487155

Variable Format: numeric

Notes: UNF:6:9yggcKQZ8C9Nuk2x0rcf+Q==

State (FIPS code)

f5791228 Location:

Value

Label

Frequency

Text

25.

Massachusetts

34

50.

Vermont

0

8.

Colorado

23

63.

Minnesota-Iowa-Missouri-Kansas-Nebraska-S.Dakota-N.Dakota

0

35.

New Mexico

2

13.

Georgia

26

67.

Arizona-New Mexico

0

2.

Alaska

2866

49.

Utah

5

1.

Alabama

96

30.

Montana

4

99.

State not identified

0

36.

New York

15

20.

Kansas

3

54.

West Virginia

4

9.

Connecticut

20

29.

Missouri

12

11.

District of Columbia

1

39.

Ohio

6

97.

Military/Mil. Reservation

0

15.

Hawaii

21

51.

Virginia

8

10.

Delaware

1

24.

Maryland

0

68.

Alaska-Hawaii

0

66.

Utah-Nevada

0

55.

Wisconsin

6

19.

Iowa

27

28.

Mississippi

2

22.

Louisiana

3

65.

Montana-Idaho-Wyoming

0

61.

Maine-New Hampshire-Vermont

0

44.

Rhode Island

0

31.

Nebraska

2

47.

Tennessee

2

4.

Arizona

20

53.

Washington

15

38.

North Dakota

0

72.

Puerto Rico

0

32.

Nevada

3

23.

Maine

5

16.

Idaho

6

5.

Arkansas

24

62.

Massachusetts-Rhode Island

0

18.

Indiana

4

64.

Maryland-Delaware

0

12.

Florida

111

45.

South Carolina

1

21.

Kentucky

1

6.

California

402

26.

Michigan

19

34.

New Jersey

2

56.

Wyoming

0

17.

Illinois

47

37.

North Carolina

11

33.

New Hampshire

0

46.

South Dakota

12

40.

Oklahoma

4

27.

Minnesota

7

41.

Oregon

28

42.

Pennsylvania

33

48.

Texas

52

Summary Statistics: Min. 1.0; Max. 55.0; StDev 10.247438627356507; Valid 3996.0; Mean 5.996246246246196

Variable Format: numeric

Notes: UNF:6:7LeGlaSTxsJi9b9n76d6sg==

Metropolitan area [detailed version]

f5791228 Location:

Value

Label

Frequency

Text

1360.

Cedar Rapids, IA

0

3180.

Hagerstown, MD

0

1330.

Caguas, PR

0

5350.

Nashua, NH

0

1310.

Burlington, VT

0

1020.

Bloomington, IN

0

2120.

Des Moines, IA

0

6761.

Petersburg-Colonial Heights, VA

0

1580.

Cheyenne, WY

0

6320.

Pittsfield, MA

0

1900.

Cumberland, MD/WV

0

1660.

Clarksville-Hopkinsville, TN/KY

0

4800.

Mansfield, OH

0

6482.

Pawtuckett-Woonsocket-Attleboro, RI/MA

0

3840.

Knoxville, TN

0

2080.

Denver-Boulder-Longmont, CO

4

1120.

Boston, MA

9

8760.

Vineland-Milville-Bridgetown, NJ

0

7620.

Sheboygan, WI

0

8000.

Springfield-Holyoke-Chicopee, MA

0

1600.

Chicago-Gary-Lake, IL

8

3880.

Lafayette, LA

0

4320.

Lima, OH

0

2520.

Fargo-Morehead, ND/MN

0

5920.

Omaha, NE/IA

0

3040.

Great Falls, MT

0

5880.

Oklahoma City, OK

0

1160.

Bridgeport, CT

0

2600.

Fitchburg-Leominster, MA

0

6800.

Roanoke, VA

0

3290.

Hickory-Morgantown, NC

0

1440.

Charleston-N.Charleston,SC

0

400.

Anderson, IN

0

3280.

Hartford-Bristol-Middleton-New Britain, CT

0

1800.

Columbus, GA/AL

0

1620.

Chico, CA

1

8750.

Victoria, TX

0

5604.

Middlesex-Somerset-Hunterdon, NJ

1

4360.

Lincoln, NE

0

1281.

Niagara Falls, NY

0

7361.

Oakland, CA

0

6030.

Pascagoula-Moss Point, MS

0

8280.

Tampa-St. Petersburg-Clearwater, FL

4

6360.

Ponce, PR

0

3710.

Joplin, MO

1

6840.

Rochester, NY

1

3150.

Greenville, NC

0

2440.

Evansville, IN/KY

0

2620.

Flagstaff, AZ-UT

0

8240.

Tallahassee, FL

3

7080.

Salem, OR

11

7600.

Seattle-Everett, WA

3

7800.

South Bend-Mishawaka, IN

0

6400.

Portland, ME

0

9340.

Yuba City, CA

1

2190.

Dover, DE

0

1720.

Colorado Springs, CO

1

5520.

New London-Norwich, CT/RI

0

3240.

Harrisburg-Lebanon-Carlisle, PA

0

7200.

San Angelo, TX

0

3850.

Kokomo, IN

0

160.

Albany-Schenectady-Troy, NY

0

6080.

Pensacola, FL

0

1240.

Brownsville-Harlingen-San Benito, TX

0

5240.

Montgomery, AL

0

2081.

Boulder-Longmont, CO

0

6481.

Fall River, MA/RI

0

3620.

Janesville-Beloit, WI

0

4080.

Laredo, TX

0

2180.

Dothan, AL

0

8640.

Tyler, TX

0

5120.

Minneapolis-St. Paul, MN

3

6580.

Punta Gorda, FL

0

7720.

Sioux City, IA/NE

0

6240.

Pine Bluff, AR

0

1121.

Lawrence-Haverhill, MA/NH

0

640.

Austin, TX

5

1150.

Bremerton, WA

0

2310.

El Paso, TX

0

120.

Albany, GA

0

3360.

Houston-Brazoria, TX

2

2580.

Fayetteville-Springdale, AR

0

7360.

San Francisco-Oakland-Vallejo, CA

8

6760.

Richmond-Petersburg, VA

0

8360.

Texarkana, TX/AR

0

2030.

Decatur, AL

0

9360.

Yuma, AZ

3

1080.

Boise City, ID

0

1680.

Cleveland, OH

0

4720.

Madison, WI

3

2001.

Springfield, OH

0

720.

Baltimore, MD

0

9080.

Wichita Falls, TX

0

7561.

Wilkes-Barre-Hazelton, PA

0

600.

Augusta-Aiken, GA-SC

0

4200.

Lawton, OK

0

8120.

Stockton, CA

6

5360.

Nashville, TN

0

6281.

Beaver County, PA

0

8040.

Stamford, CT

0

7040.

St. Louis, MO-IL

1

440.

Ann Arbor, MI

0

5720.

Norfolk-VA Beach-Newport News, VA

2

9270.

Yolo, CA

1

1260.

Bryan-College Station, TX

0

1480.

Charleston, WV

0

3740.

Kankakee, IL

0

1400.

Champaign-Urbana-Rantoul, IL

3

2330.

Elmira, NY

0

3300.

Hattiesburg, MS

0

8480.

Trenton, NJ

0

3980.

Lakeland-Winterhaven, FL

0

2760.

Fort Wayne, IN

0

7140.

Salisbury-Concord, NC

0

8800.

Waco, TX

0

7560.

Scranton-Wilkes-Barre, PA

1

3870.

LaCrosse, WI

0

740.

Barnstable-Yarmouth, MA

0

5605.

Newark, NJ

1

8320.

Terre Haute, IN

1

5910.

Olympia, WA

0

7160.

Salt Lake City-Ogden, UT

0

6960.

Saginaw-Bay City-Midland, MI

0

5950.

Orange, NY

0

8160.

Syracuse, NY

2

6440.

Portland-Vancouver, OR

9

5140.

Missoula, MT

0

7460.

San Luis Obispo-Atascad-P Robles, CA

0

6780.

Riverside-San Bernardino,CA

1

2990.

Grand Forks, ND/MN

0

5170.

Modesto, CA

3

960.

Binghamton, NY

0

4680.

Macon-Warner Robins, GA

0

3440.

Huntsville, AL

0

3350.

Houma-Thibodoux, LA

0

80.

Akron, OH

0

4600.

Lubbock, TX

0

3960.

Lake Charles, LA

1

5600.

New York-Northeastern NJ

5

5603.

Jersey City, NJ

0

450.

Anniston, AL

0

3680.

Johnstown, PA

0

5160.

Mobile, AL

0

1140.

Bradenton, FL

0

240.

Allentown-Bethlehem-Easton, PA/NJ

0

3760.

Kansas City, MO-KS

1

1740.

Columbia, MO

0

1300.

Burlington, NC

0

7470.

Santa Barbara-Santa Maria-Lompoc, CA

1

6961.

Bay City, MI

0

8440.

Topeka, KS

0

2700.

Fort Myers-Cape Coral, FL

0

880.

Billings, MT

0

4150.

Lawrence, KS

0

7000.

St. Joseph, MO

0

9280.

York, PA

0

1930.

Danbury, CT

0

6641.

Durham, NC

0

6660.

Rapid City, SD

0

7880.

Springfield, IL

0

2400.

Eugene-Springfield, OR

0

5640.

Newark, OH

0

5190.

Monmouth-Ocean, NJ

0

4040.

Lansing-E. Lansing, MI

0

5722.

Norfolk- VA Beach-Portsmouth

0

2290.

Eau Claire, WI

0

7440.

San Juan-Bayamon, PR

0

470.

Arecibo, PR

0

3120.

Greensboro-Winston Salem-High Point, NC

1

4100.

Las Cruces, NM

0

380.

Anchorage, AK

0

8920.

Waterloo-Cedar Falls, IA

0

3161.

Anderson, SC

0

920.

Biloxi-Gulfport, MS

0

1560.

Chattanooga, TN/GA

0

3400.

Huntington-Ashland, WV/KY/OH

0

6740.

Richland-Kennewick-Pasco, WA

0

3590.

Jacksonville, FL

0

6640.

Raleigh-Durham, NC

1

6480.

Providence-Fall River-Pawtucket, MA/RI

0

4440.

Lorain-Elyria, OH

0

7320.

San Diego, CA

1

7490.

Santa Fe, NM

0

3060.

Greeley, CO

0

9040.

Wichita, KS

1

5560.

New Orleans, LA

0

4890.

Medford, OR

1

3920.

Lafayette-W. Lafayette, IN

1

5790.

Ocala, FL

0

5721.

Newport News-Hampton

0

1840.

Columbus, OH

0

5660.

Newburgh-Middletown, NY

0

220.

Alexandria, LA

0

2920.

Galveston-Texas City, TX

0

580.

Auburn-Opelika, AL

0

1880.

Corpus Christi, TX

1

4482.

Orange County, CA

1

3361.

Brazoria, TX

0

5601.

Nassau Co, NY

2

4410.

Long Branch-Asbury Park,NJ

0

9140.

Williamsport, PA

0

8080.

Steubenville-Weirton,OH/WV

0

7680.

Shreveport, LA

0

3283.

New Britain, CT

0

6720.

Reno, NV

1

60.

Aguadilla, PR

0

5481.

Meriden

0

3010.

Grand Junction, CO

0

7161.

Ogden

0

3560.

Jackson, MS

0

1350.

Casper, WY

0

3720.

Kalamazoo-Portage, MI

0

7400.

San Jose, CA

44

9260.

Yakima, WA

1

2121.

Polk, IA

0

860.

Bellingham, WA

0

7480.

Santa Cruz, CA

0

2640.

Flint, MI

0

9160.

Wilmington, DE/NJ/MD

1

6820.

Rochester, MN

0

5200.

Monroe, LA

0

5602.

Bergen-Passaic, NJ

0

5080.

Milwaukee, WI

0

1521.

Rock Hill, SC

0

200.

Albuquerque, NM

0

6020.

Parkersburg-Marietta,WV/OH

0

5990.

Owensboro, KY

0

1603.

Joliet IL

0

7240.

San Antonio, TX

2

2880.

Gadsden, AL

0

3480.

Indianapolis, IN

0

2650.

Florence, AL

0

870.

Benton Harbor, MI

0

6010.

Panama City, FL

0

5760.

Norwalk, CT

0

3500.

Iowa City, IA

0

6160.

Philadelphia, PA/NJ

7

1920.

Dallas-Fort Worth, TX

3

1000.

Birmingham, AL

0

7760.

Sioux Falls, SD

0

7640.

Sherman-Denison, TX

0

5482.

New Haven, CT

0

4000.

Lancaster, PA

1

2670.

Fort Collins-Loveland, CO

0

2680.

Fort Lauderdale-Hollywood-Pompano Beach, FL

13

9320.

Youngstown-Warren, OH-PA

0

780.

Battle Creek, MI

0

3660.

Johnson City-Kingsport-Bristol, TN/VA

0

8400.

Toledo, OH/MI

1

6441.

Vancouver, WA

0

5480.

New Haven-Meriden, CT

0

1200.

Brockton, MA

0

2020.

Daytona Beach, FL

42

6460.

Poughkeepsie, NY

0

680.

Bakersfield, CA

2

520.

Atlanta, GA

1

6880.

Rockford, IL

1

3320.

Honolulu, HI

5

4640.

Lynchburg, VA

0

8520.

Tucson, AZ

1

840.

Beaumont-Port Arthur-Orange,TX

1

8780.

Visalia-Tulare-Porterville, CA

24

2240.

Duluth-Superior, MN/WI

1

5320.

Muskegon-Norton Shores-Muskegon Heights, MI

0

7510.

Sarasota, FL

1

2660.

Florence, SC

0

6895.

Rocky Mount, NC

2

4280.

Lexington-Fayette, KY

0

2970.

Glens Falls, NY

0

40.

Abilene, TX

0

1640.

Cincinnati OH/KY/IN

1

2840.

Fresno, CA

10

1760.

Columbia, SC

0

7520.

Savannah, GA

0

560.

Atlantic City, NJ

0

2200.

Dubuque, IA

0

6520.

Provo-Orem, UT

0

7120.

Salinas-Sea Side-Monterey, CA

58

4120.

Las Vegas, NV

0

7840.

Spokane, WA

0

3282.

Middletown, CT

0

6450.

Portsmouth-Dover-Rochester, NH/ME

0

5460.

New Brunswick-Perth Amboy-Sayreville, NJ

0

480.

Asheville, NC

0

7362.

Vallejo-Fairfield-Napa, CA

4

2980.

Goldsboro, NC

2

4481.

Anaheim-Santa Ana-Garden Grove, CA

0

8560.

Tulsa, OK

0

6280.

Pittsburgh-Beaver Valley, PA

0

4840.

Mayaguez, PR

0

1602.

Gary-Hammond-East Chicago, IN

0

3160.

Greenville-Spartanburg-Anderson SC

0

8730.

Ventura-Oxnard-Simi Valley, CA

6

9200.

Wilmington, NC

0

1123.

Salem-Gloucester, MA

0

5000.

Miami-Hialeah, FL

13

8880.

Waterbury, CT

0

3200.

Hamilton-Middleton, OH

0

4240.

Lewiston-Auburn, ME

0

8840.

Washington, DC/MD/VA

5

6600.

Racine, WI

0

8680.

Utica-Rome, NY

3

3121.

Winston-Salem, NC

0

4940.

Merced, CA

0

3281.

Bristol, CT

0

6680.

Reading, PA

1

4420.

Longview-Marshall, TX

0

8140.

Sumter, SC

0

3000.

Grand Rapids, MI

0

5280.

Muncie, IN

0

2000.

Dayton-Springfield, OH

1

760.

Baton Rouge, LA

0

5340.

Naples, FL

0

4480.

Los Angeles-Long Beach, CA

35

6980.

St. Cloud, MN

0

8050.

State College, PA

13

7500.

Santa Rosa-Petaluma, CA

3

730.

Bangor, ME

0

4400.

Little Rock-North Little Rock, AR

2

2750.

Fort Walton Beach, FL

0

2560.

Fayetteville, NC

0

6200.

Phoenix, AZ

5

2360.

Erie, PA

0

1122.

Lowell, MA/NH

0

8940.

Wausau, WI

0

3080.

Green Bay, WI

0

1520.

Charlotte-Gastonia-Rock Hill, SC

1

1921.

Fort Worth-Arlington, TX

1

2160.

Detroit, MI

8

1010.

Bismarck,ND

0

2281.

Dutchess Co., NY

0

500.

Athens, GA

2

5330.

Myrtle Beach, SC

1

3610.

Jamestown-Dunkirk, NY

0

4520.

Louisville, KY/IN

1

9000.

Wheeling, WV/OH

0

8960.

West Palm Beach-Boca Raton-Delray Beach, FL

23

1540.

Charlottesville, VA

0

5400.

New Bedford, MA

0

3800.

Kenosha, WI

0

1320.

Canton, OH

0

4920.

Memphis, TN/AR/MS

1

2710.

Fort Pierce, FL

0

3580.

Jackson, TN

0

9240.

Worcester, MA

24

6781.

San Bernardino, CA

0

4760.

Manchester, NH

0

4880.

McAllen-Edinburg-Pharr-Mission, TX

4

280.

Altoona, PA

0

1604.

Lake County, IL

0

5960.

Orlando, FL

6

2900.

Gainesville, FL

0

6690.

Redding, CA

1

2320.

Elkhart-Goshen, IN

0

1280.

Buffalo-Niagara Falls, NY

0

7610.

Sharon, PA

0

1960.

Davenport, IA Rock Island-Moline, IL

0

5040.

Midland, TX

0

8200.

Tacoma, WA

1

1601.

Aurora-Elgin, IL

0

8600.

Tuscaloosa, AL

0

0.

Not identifiable or not in an MSA

3475

6920.

Sacramento, CA

7

460.

Appleton-Oskosh-Neenah, WI

0

320.

Amarillo, TX

0

5800.

Odessa, TX

0

1950.

Danville, VA

0

6120.

Peoria, IL

0

3810.

Kileen-Temple, TX

0

3520.

Jackson, MI

0

1040.

Bloomington-Normal, IL

1

7920.

Springfield, MO

0

2720.

Fort Smith, AR/OK

1

3600.

Jacksonville, NC

0

2340.

Enid, OK

0

4900.

Melbourne-Titusville-Cocoa-Palm Bay, FL

0

2040.

Decatur, IL

0

6560.

Pueblo, CO

0

Summary Statistics: Min. 0.0; StDev 2175.527052785758; Max. 9360.0; Valid 3996.0; Mean 760.6811811811538

Variable Format: numeric

Notes: UNF:6:zIZ/0j229xWo79O1NpocWw==

Public Use Microdata Area

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 8200.0; Mean 835.5858358358392; StDev 1198.1477577707976; Min. 100.0;

Variable Format: numeric

Notes: UNF:6:JsVx2CIXiclcNMCufba7VQ==

Person weight

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 66.0; Mean 11.306806806806856; StDev 7.344275777575946; Min. 2.0

Variable Format: numeric

Notes: UNF:6:hILTQO8CDt6r9F92SglXkw==

Hispanic origin [detailed version]

f5791228 Location:

Value

Label

Frequency

Text

200.

Puerto Rican

3

458.

Canarian

0

414.

Nicaraguan

0

402.

Canal Zone

0

490.

Californio

0

300.

Cuban

1

105.

La Raza

0

100.

Mexican

236

102.

Mexican American

0

494.

Spanish American Indian

0

420.

Argentinean

0

429.

South American Indian

0

450.

Spaniard

0

496.

Mestizo

0

460.

Dominican

0

427.

Uruguayan

0

422.

Chilean

0

452.

Asturian

0

413.

Honduran

0

430.

Criollo

0

425.

Paraguayan

0

495.

Meso American Indian

0

401.

Central American Indian

0

470.

Hispanic

0

492.

Nuevo Mexicano

0

455.

Balearic Islander

0

491.

Tejano

0

493.

Spanish American

0

465.

Latin American

0

459.

Spanish Basque

0

453.

Castillian

0

456.

Gallego

0

421.

Bolivian

0

416.

Salvadoran

0

0.

Not Hispanic

3750

412.

Guatemalan

0

480.

Spanish

0

411.

Costa Rican

0

417.

Central American, n.e.c.

0

424.

Ecuadorian

0

431.

South American, n.e.c.

0

451.

Andalusian

0

423.

Colombian

1

415.

Panamanian

0

900.

Not Reported

0

104.

Chicano/Chicana

0

107.

Mexico

0

426.

Peruvian

0

103.

Mexicano/Mexicana

0

428.

Venezuelan

1

498.

Other, n.s.

4

499.

Other, n.e.c.

0

457.

Valencian

0

106.

Mexican American Indian

0

454.

Catalonian

0

Summary Statistics: Mean 6.842592592592604; Max. 498.0; Min. 0.0; Valid 3996.0; StDev 30.584755709134438

Variable Format: numeric

Notes: UNF:6:y9gZKCl3cqyBboN5JQu7Xw==

Industry, 1990 basis

f5791228 Location:

Value

Label

Frequency

Text

10.

Agricultural production, crops

3650

220.

Leather tanning and finishing

0

412.

U.S. Postal Service

8

110.

Grain mill products

0

450.

Electric light and power

0

780.

Barber shops

0

111.

Bakery products

11

741.

Business services, n.e.c.

0

930.

Administration of environmental quality and housing programs

0

350.

Electrical machinery, equipment, and supplies, n.s.

0

332.

Machinery, n.s.

0

862.

Child day care services

0

682.

Miscellaneous retail stores

0

371.

Scientific and controlling instruments

0

752.

Electrical repair shops

0

892.

Management and public relations services

0

242.

Furniture and fixtures

0

922.

Administration of human resources programs

0

422.

Pipe lines, except natural gas

0

211.

Other rubber products, and plastics footwear and belting

0

661.

Gift, novelty, and souvenir shops

0

41.

Coal mining

0

521.

Hardware, plumbing and heating supplies

0

940.

Army

0

841.

Legal services

0

60.

All construction�

23

200.

Petroleum refining

0

810.

Miscellaneous entertainment and recreation services�

0

280.

Other primary metal industries

0

822.

Offices and clinics of optometrists

0

701.

Savings institutions, including credit unions

0

40.

Metal mining

8

571.

Wholesale trade, n.s.�

0

790.

Dressmaking shops

0

250.

Glass and glass products

0

901.

General government, n.e.c.

1

11.

Agricultural production, livestock

110

731.

Personnel supply services

0

420.

Water transportation

0

952.

Armed Forces, branch not specified

0

281.

Cutlery, handtools, and general hardware

0

232.

Wood buildings and mobile homes

0

941.

Air Force

0

130.

Tobacco manufactures

0

870.

Residential care facilities, without nursing

0

602.

Dairy products stores

0

851.

Vocational schools

0

161.

Miscellaneous paper and pulp products

0

502.

Lumber and construction materials

0

561.

Farm supplies

0

162.

Paperboard containers and boxes

0

201.

Miscellaneous petroleum and coal products

0

400.

Railroads

2

651.

Sporting goods, bicycles, and hobby stores

0

840.

Health services, n.e.c.

0

140.

Dyeing and finishing textiles, except wool and knit goods

0

633.

Radio, TV, and computer stores

0

800.

Theaters and motion pictures

0

351.

Motor vehicles and motor vehicle equipment

0

381.

Watches, clocks, and clockwork operated devices

0

721.

Advertising

0

251.

Cement, concrete, gypsum, and plaster products

1

50.

Nonmetallic mining and quarrying, except fuels�

1

771.

Laundry, cleaning, and garment services

0

182.

Soaps and cosmetics

0

510.

Professional and commercial equipment and supplies

0

372.

Medical, dental, and optical instruments and supplies

1

191.

Agricultural chemicals

0

12.

Veterinary services

15

442.

Telegraph and miscellaneous communications services

0

181.

Drugs

0

341.

Radio, TV, and communication equipment

0

360.

Ship and boat building and repairing

0

410.

Trucking service

0

942.

Navy

0

150.

Miscellaneous textile mill products

0

282.

Fabricated structural metal products

0

362.

Guided missiles, space vehicles, and parts

1

691.

Retail trade, n.s.�

0

221.

Footwear, except rubber and plastic

0

541.

Drugs, chemicals, and allied products

0

530.

Machinery, equipment, and supplies

0

451.

Gas and steam supply systems

0

591.

Department stores

0

532.

Miscellaneous wholesale, durable goods

0

921.

Public finance, taxation, and monetary policy

0

550.

Groceries and related products

0

850.

Colleges and universities

0

621.

Gasoline service stations

0

711.

Insurance

1

552.

Petroleum products

0

872.

Museums, art galleries, and zoos

0

801.

Video tape rental

0

392.

Manufacturing industries, n.s.�

0

231.

Sawmills, planing mills, and millwork

0

141.

Carpets and rugs

0

102.

Canned, frozen, and preserved fruits and vegetables

0

700.

Banking

18

812.

Offices and clinics of physicians

1

712.

Real estate, including real estate-insurance offices�

25

312.

Construction and material handling machines

0

411.

Warehousing and storage

0

873.

Labor unions

0

261.

Pottery and related products

0

641.

Eating and drinking places

0

670.

Vending machine operators

0

992.

Last worked 1984 or earlier

0

612.

Motor vehicle dealers

0

42.

Oil and gas extraction

30

932.

National security and international affairs�

0

660.

Jewelry stores

0

751.

Automotive repair and related services

0

632.

Household appliance stores

0

671.

Direct selling establishments

0

782.

Shoe repair shops

0

672.

Fuel dealers

0

171.

Newspaper publishing and printing

0

440.

Radio and television broadcasting and cable

0

702.

Credit agencies, n.e.c.

0

210.

Tires and inner tubes

0

820.

Offices and clinics of dentists

0

291.

Metal forgings and stampings

0

292.

Ordnance

0

192.

Industrial and miscellaneous chemicals

1

212.

Miscellaneous plastics products

0

882.

Engineering, architectural, and surveying services

0

290.

Screw machine products

0

241.

Miscellaneous wood products

0

631.

Furniture and home furnishings stores

0

311.

Farm machinery and equipment

0

252.

Structural clay products

0

370.

Cycles and miscellaneous transportation equipment

0

620.

Auto and home supply stores

0

623.

Apparel and accessory stores, except shoe

0

172.

Printing, publishing, and allied industries, except newspapers

3

611.

Food stores, n.e.c.

0

710.

Security, commodity brokerage, and investment companies

0

592.

Variety stores

0

881.

Membership organizations, n.e.c.

0

761.

Private households

0

830.

Offices and clinics of health practitioners, n.e.c.

0

861.

Job training and vocational rehabilitation services

0

352.

Aircraft and parts

0

740.

Detective and protective services

0

101.

Dairy products

0

340.

Household appliances

0

160.

Pulp, paper, and paperboard mills

0

791.

Miscellaneous personal services�

4

540.

Paper and paper products

1

542.

Apparel, fabrics, and notions

0

322.

Computers and related equipment

0

120.

Beverage industries

0

662.

Sewing, needlework, and piece goods stores

0

132.

Knitting mills

0

960.

Military Reserves or National Guard�

0

511.

Metals and minerals, except petroleum

0

893.

Miscellaneous professional and related services�

0

152.

Miscellaneous fabricated textile products

0

452.

Electric and gas, and other combinations

0

880.

Religious organizations

0

551.

Farm-product raw materials

0

832.

Nursing and personal care facilities

0

900.

Executive and legislative offices

0

380.

Photographic equipment and supplies

0

100.

Meat products

4

732.

Computer and data processing services

0

663.

Catalog and mail order houses

0

401.

Bus service and urban transit

0

652.

Book and stationery stores

0

112.

Sugar and confectionery products

1

951.

Coast Guard

0

180.

Plastics, synthetics, and resins

0

472.

Utilities, n.s.�

0

531.

Scrap and waste materials

0

321.

Office and accounting machines

0

581.

Hardware stores

0

20.

Landscape and horticultural services

31

821.

Offices and clinics of chiropractors

0

762.

Hotels and motels

0

610.

Retail bakeries

0

871.

Social services, n.e.c.

0

831.

Hospitals

0

271.

Iron and steel foundries

0

630.

Shoe stores

0

361.

Railroad locomotives and equipment

0

512.

Electrical goods

0

272.

Primary aluminum industries

0

122.

Food industries, n.s.

0

601.

Grocery stores

0

622.

Miscellaneous vehicle dealers

0

30.

Agricultural services, n.e.c.

0

742.

Automotive rental and leasing, without drivers

0

770.

Lodging places, except hotels and motels

0

151.

Apparel and accessories, except knit

0

999.

DID NOT RESPOND

0

562.

Miscellaneous wholesale, nondurable goods

0

342.

Electrical machinery, equipment, and supplies, n.e.c.

0

582.

Retail nurseries and garden stores

0

390.

Toys, amusement, and sporting goods

0

560.

Alcoholic beverages

0

402.

Taxicab service

0

642.

Drug stores

0

650.

Liquor stores

0

722.

Services to dwellings and other buildings

0

441.

Telephone communications

0

781.

Funeral service and crematories

0

262.

Misc. nonmetallic mineral and stone products

0

121.

Misc. food preparations and kindred products

0

500.

Motor vehicles and equipment

1

590.

Mobile home dealers

0

760.

Miscellaneous repair services�

0

891.

Research, development, and testing services

0

640.

Music stores

0

301.

Metal industries, n.s.

0

32.

Fishing, hunting, and trapping�

7

190.

Paints, varnishes, and related products

0

310.

Engines and turbines

0

421.

Air transportation

0

501.

Furniture and home furnishings

0

950.

Marines

0

681.

Retail florists

0

391.

Miscellaneous manufacturing industries

1

931.

Administration of economic programs

0

230.

Logging

0

580.

Lumber and building material retailing

1

31.

Forestry

5

142.

Yarn, thread, and fabric mills

0

802.

Bowling centers

0

772.

Beauty shops

0

222.

Leather products, except footwear

0

910.

Justice, public order, and safety

0

432.

Services incidental to transportation

1

600.

Miscellaneous general merchandise stores

0

270.

Blast furnaces, steelworks, rolling and finishing mills

0

0.

N/A (not applicable)�

0

852.

Libraries

0

331.

Machinery, except electrical, n.e.c.

0

471.

Sanitary services

0

860.

Educational services, n.e.c.

0

842.

Elementary and secondary schools

28

863.

Family child care homes

0

470.

Water supply and irrigation

0

890.

Accounting, auditing, and bookkeeping services

0

320.

Metalworking machinery

0

300.

Miscellaneous fabricated metal products

0

750.

Automobile parking and carwashes

0

Summary Statistics: Max. 901.0; Valid 3996.0; StDev 108.2506999021107; Min. 10.0; Mean 27.884884884883753;

Variable Format: numeric

Notes: UNF:6:cKTRy2BbLeIV8XHwseQTgg==

Occupation, SOC classification

f5791228 Location:

Variable Format: character

Notes: UNF:6:2vJbzNoftkfmD4QqqpwPbg==

Weeks worked last year

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 52.0; Min. 1.0; StDev 8.860325848839404; Mean 49.50275275275279

Variable Format: numeric

Notes: UNF:6:4EP5MMYX5MbDCEOhG2nETg==

Usual hours worked per week

f5791228 Location:

Summary Statistics: Mean 34.14689689689708; StDev 10.339551527392892; Valid 3996.0; Min. 4.0; Max. 99.0;

Variable Format: numeric

Notes: UNF:6:XnyG0x79m0zq3a79kMyj6g==

flag_occmissing

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 0.0; Min. 0.0; StDev 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:2TflAmJpaVEoo/fWRn8VzA==

flag_edumissing

f5791228 Location:

Summary Statistics: Max. 0.0; Mean 0.0; Min. 0.0; Valid 3996.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:2TflAmJpaVEoo/fWRn8VzA==

flag_bplmissing

f5791228 Location:

Summary Statistics: Min. 0.0; Mean 0.0; Valid 3996.0; Max. 0.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:2TflAmJpaVEoo/fWRn8VzA==

flag_gq5

f5791228 Location:

Summary Statistics: StDev 0.015819299929208296; Mean 2.5025025025023496E-4; Valid 3996.0; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:wGgiOtzZulR71mePlXrtdw==

flag_gqall

f5791228 Location:

Summary Statistics: StDev 0.031626718303317286; Mean 0.0010010010010009654; Max. 1.0; Valid 3996.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:z1A0die0RHle9uItkfh3yQ==

flag_gqcoll

f5791228 Location:

Summary Statistics: Mean 0.0012512512512512517; StDev 0.0353553169124321; Max. 1.0; Min. 0.0; Valid 3996.0

Variable Format: numeric

Notes: UNF:6:SsjCxpEIs668WjQNZsJ99A==

hrwage

f5791228 Location:

Summary Statistics: Valid 3889.0; Min. 2.1710526943206787; Mean 10.343786075937356; Max. 150.0; StDev 4.933955286710038;

Variable Format: numeric

Notes: UNF:6:OdzlE/YjMrhuJGOzQOJ67w==

wkwage

f5791228 Location:

Summary Statistics: Valid 3889.0; Mean 355.8668032406086; StDev 232.59925501575353; Max. 6000.0; Min. 55.0

Variable Format: numeric

Notes: UNF:6:ezy4K50wDwC8Y9ZyXE7z0w==

real_hrwage

f5791228 Location:

Summary Statistics: Max. 186.7054443359375; Min. 2.7023158073425293; Mean 12.874940920685365; StDev 6.141308753830297; Valid 3889.0;

Variable Format: numeric

Notes: UNF:6:l3wEw3NjCTIo5BVRQbu0Bw==

real_wkwage

f5791228 Location:

Summary Statistics: StDev 289.516976115612; Mean 442.9484677127214; Max. 7468.2177734375; Min. 68.45866394042969; Valid 3889.0;

Variable Format: numeric

Notes: UNF:6:cpYjmL2TeJY85rSWn9g2ew==

ln_hrwage

f5791228 Location:

Summary Statistics: Min. 0.9941090941429138; Max. 5.229532241821289; Valid 3889.0; StDev 0.32128716532061724; Mean 2.4948966753577846

Variable Format: numeric

Notes: UNF:6:G0YdU9qhiXS8ES4jUtrSsw==

ln_wkwage

f5791228 Location:

Summary Statistics: Max. 8.918411254882812; Mean 5.991266359121763; StDev 0.4001922663012445; Min. 4.226230144500732; Valid 3889.0;

Variable Format: numeric

Notes: UNF:6:xWu1H8fjHs3UNskHEGzWjw==

ln_wkwageftfy

f5791228 Location:

Summary Statistics: Max. 8.080683708190918; Valid 742.0; Mean 6.422543392669802; Min. 4.54945707321167; StDev 0.5555367872569531;

Variable Format: numeric

Notes: UNF:6:AIOKarIRTw4RcM2swN+0WQ==

race_nonwhite

f5791228 Location:

Summary Statistics: Valid 3996.0; Mean 0.023273273273272593; StDev 0.15078898515460631; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:TirjeeMr682CNp7yDAnyjg==

ed_0

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 1.0; Mean 0.007507507507507122; Min. 0.0; StDev 0.0863308169551198

Variable Format: numeric

Notes: UNF:6:uHvrUd2CplhsIXtuf6pAkw==

ed_1_4

f5791228 Location:

Summary Statistics: StDev 0.0; Max. 0.0; Valid 3996.0; Min. 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:2TflAmJpaVEoo/fWRn8VzA==

ed_5_8

f5791228 Location:

Summary Statistics: Mean 0.013013013013013188; Max. 1.0; Min. 0.0; Valid 3996.0; StDev 0.11334411957676763;

Variable Format: numeric

Notes: UNF:6:18qiJBBYVYxuvW9L9xhWmQ==

ed_9

f5791228 Location:

Summary Statistics: Valid 3996.0; Min. 0.0; Max. 1.0; Mean 0.003503503503503521; StDev 0.05909401717873154;

Variable Format: numeric

Notes: UNF:6:+LIcCDV0p4V5xJ/tkVGmgg==

ed_10

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 1.0; Min. 0.0; StDev 0.06879921205499971; Mean 0.004754754754754676;

Variable Format: numeric

Notes: UNF:6:fHYxyzzfqIq2Qyk5DA1L7g==

ed_11

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 1.0; StDev 0.10199334754441834; Mean 0.010510510510510666; Min. 0.0

Variable Format: numeric

Notes: UNF:6:b/vrYaBeTjdEZlkIxYIbsA==

ed_12

f5791228 Location:

Summary Statistics: Mean 0.11661661661661264; StDev 0.32100306520965605; Max. 1.0; Min. 0.0; Valid 3996.0;

Variable Format: numeric

Notes: UNF:6:Zj3FeABiI/xCffLPXZPkeQ==

ed_13_15

f5791228 Location:

Summary Statistics: Max. 1.0; Mean 0.07332332332331931; StDev 0.26069910163550714; Valid 3996.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:6Ta/vZ0KCdMlmDgTbQ8U7w==

ed_16

f5791228 Location:

Summary Statistics: Valid 3996.0; Max. 1.0; StDev 0.43028635563969964; Mean 0.7547547547547512; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Bm5Oe3dVOJ8foG7+8GqwYg==

ed_17up

f5791228 Location:

Summary Statistics: Max. 1.0; Valid 3996.0; StDev 0.12555257087695648; Min. 0.0; Mean 0.016016016016015124

Variable Format: numeric

Notes: UNF:6:T3MdcGor3aqOZxhWck238A==

edyrs

f5791228 Location:

Summary Statistics: Max. 17.760000228881836; StDev 2.265819835620468; Valid 3996.0; Mean 15.17563566732573; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Dk0uHOY0GDWpt0nAiwPQ6A==

exp

f5791228 Location:

Summary Statistics: Min. 0.0; Mean 5.506321381758798; Valid 3996.0; Max. 47.01000213623047; StDev 11.183774704998672;

Variable Format: numeric

Notes: UNF:6:Fgg1B1Nq2YFMpOcb7JRO6g==

exp2

f5791228 Location:

Summary Statistics: Max. 2209.940185546875; Mean 155.3650905128891; StDev 391.865198518001; Valid 3996.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:pbDclIaYFD3mvH/1r/ulgg==

exp3

f5791228 Location:

Summary Statistics: Max. 103889.296875; StDev 15105.44455673553; Mean 5049.094256364684; Min. 0.0; Valid 3996.0;

Variable Format: numeric

Notes: UNF:6:Ke0vTI9q3hQDUW6l6tqC7A==

exp4

f5791228 Location:

Summary Statistics: StDev 609123.1489310861; Max. 4883836.0; Min. 0.0; Valid 3996.0; Mean 177658.21827301607;

Variable Format: numeric

Notes: UNF:6:bDcdXxWF9fMoQsQYwiAB+A==

yr

f5791228 Location:

Summary Statistics: Valid 3996.0; StDev 0.0; Max. 2000.0; Mean 2000.0; Min. 2000.0

Variable Format: numeric

Notes: UNF:6:tmIe0n66lAnOgd/yMoanAw==

(mean) ind7090

f5791228 Location:

Summary Statistics: Min. 11.0; Mean 28.774024024024317; Max. 901.0; StDev 107.69463033352135; Valid 3996.0

Variable Format: numeric

Notes: UNF:6:bcTPWDhtFXknF+PgFX2s6A==

(mean) ind8090

f5791228 Location:

Summary Statistics: Mean 27.860610610611676; Min. 10.0; StDev 107.84568004054702; Max. 901.0; Valid 3996.0;

Variable Format: numeric

Notes: UNF:6:SCbhfqn6hFidtV74OMZzeQ==

ind6090

f5791228 Location:

Summary Statistics: StDev 107.93881411754205; Valid 3996.0; Max. 901.0; Mean 33.60560560560661; Min. 16.0;

Variable Format: numeric

Notes: UNF:6:4FjXnPiIiIiOXEkRxkQJ7g==

nr_2011

f5791228 Location:

Summary Statistics: Min. -1.3846824169158936; Mean 0.5779733591940382; StDev 0.5714557612443141; Valid 3996.0; Max. 1.841766357421875;

Variable Format: numeric

Notes: UNF:6:Xec95LOM4CAUq6sT8h9+dQ==

r_2011

f5791228 Location:

Summary Statistics: StDev 0.5246197917573001; Max. 3.0497586727142334; Valid 3996.0; Min. -2.1060221195220947; Mean -0.46064052332925665;

Variable Format: numeric

Notes: UNF:6:1y5J9ENkyUK0ELAxWQKkvQ==

Occupation

f5791230 Location:

Summary Statistics: StDev 204.27489266922237; Valid 1120.0; Min. 5.0; Max. 975.0; Mean 497.20624999999797

Variable Format: numeric

Notes: UNF:6:ivP+bf7EG83O6l2ng6Qkjg==

occ1990dd

f5791230 Location:

Summary Statistics: Mean 381.82053571428463; Min. 8.0; Max. 889.0; StDev 204.16409696038255; Valid 1120.0;

Variable Format: numeric

Notes: UNF:6:i61PGeWjlMr863mlO7zHFw==

job_description

f5791230 Location:

Variable Format: character

Notes: UNF:6:d9+1uiaV9fS1N5M4mMiRtg==

ISCO88 4 digit

f5791230 Location:

Summary Statistics: Valid 1423.0; StDev 2265.1708121942356; Max. 9333.0; Mean 5246.3696416022285; Min. 110.0

Variable Format: numeric

Notes: UNF:6:EoSyr+QhQnI9qyx5f6zuew==

task_offshorability

f5791230 Location:

Summary Statistics: Mean 0.4288871400291095; StDev 1.3803756944956276; Valid 1120.0; Max. 2.68599271774292; Min. -3.154930591583252;

Variable Format: numeric

Notes: UNF:6:8hYvMpFEQzQMc3ANUl70+Q==

task_abstract

f5791230 Location:

Summary Statistics: Mean 2.3851620783763363; Valid 1120.0; Min. 0.04155910015106201; Max. 9.002079963684082; StDev 1.7279656239238597;

Variable Format: numeric

Notes: UNF:6:Ya8/ckZ5RRJqfmBzscUDbQ==

task_routine

f5791230 Location:

Summary Statistics: Valid 1120.0; StDev 1.9163094679220736; Mean 3.87005212338907; Max. 8.536230087280273; Min. 1.25

Variable Format: numeric

Notes: UNF:6:80H3mrcH+X4lHYekoYsqCw==

task_manual

f5791230 Location:

Summary Statistics: StDev 1.2304210226746188; Min. 1.000000013351432E-10; Valid 1120.0; Max. 6.167675495147705; Mean 1.0939465264041974;

Variable Format: numeric

Notes: UNF:6:mFbPnc/wNNbcRlKiZoPJBw==

count

f5791230 Location:

Summary Statistics: Min. 1.0; Mean 1.0; StDev 0.0; Valid 1120.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:2bgvPHmsBppoh/zG1S4J5A==

RTI

f5791230 Location:

Summary Statistics: StDev 2.625301634451205; Max. 25.651355743408203; Mean 1.4143170263967437; Valid 1120.0; Min. -2.231675148010254

Variable Format: numeric

Notes: UNF:6:BxxGSxg2MWU935Z78r1Evw==

pref_name

f5791230 Location:

Variable Format: character

Notes: UNF:6:L8/8tOtQ2fpzgOfsYqhyLA==

ind_code

f5791230 Location:

Summary Statistics: Mean 17.511705685618708; Valid 2392.0; Max. 23.0; Min. 1.0; StDev 6.3587069777938785;

Variable Format: numeric

Notes: UNF:6:jkeaJPgIJPdl/JGgk7VrBQ==

ind_text

f5791230 Location:

Variable Format: character

Notes: UNF:6:zQ/V3meEEB6buzmw+mMYLg==

RTFPir

f5791230 Location:

Summary Statistics: Mean 0.03184497485344267; StDev 0.1606647264732951; Min. -0.9710000157356262; Max. 0.777999997138977; Valid 1174.0;

Variable Format: numeric

Notes: UNF:6:bFWqz4aehictXf6duryU8g==

TFP

f5791230 Location:

Summary Statistics: Mean 0.06117582837661263; Valid 4289.0; Max. 0.3323889672756195; Min. -0.14454182982444763; StDev 0.09643145109473938;

Variable Format: numeric

Notes: UNF:6:j02nMx3BpmAI2NEfnq5tkg==

labor_prod

f5791230 Location:

Summary Statistics: StDev 0.12216317518549032; Mean 0.09854907814812196; Valid 4289.0; Max. 0.39899998903274536; Min. -0.164000004529953

Variable Format: numeric

Notes: UNF:6:8RWzAnIN6QD98xdFd1FDxg==

Sequential Record Identifier (Added by ICPSR)

f5791230 Location:

Summary Statistics: Min. 1.0; Valid 4289.0; Mean 2106.9253905339233; Max. 4220.0; StDev 1220.7338289675843

Variable Format: numeric

Notes: UNF:6:O2dUyl06iHLe4N/K07sX6A==

Regional Block

f5791230 Location:

Value

Label

Frequency

Text

6.

Kyusyu

518

1.

Hokkaido or Tohoku

567

5.

Cyugoku or Shikoku

431

2.

Kanto

1212

3.

Chubu

932

4.

Kinki

629

Summary Statistics: Mean 3.1629750524597813; StDev 1.5559437403447893; Valid 4289.0; Max. 6.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:lXOaQMULP6sCO8W+9wYuSA==

Prefecture Name

f5791230 Location:

Value

Label

Frequency

Text

31.

Tottori

21

47.

Okinawa

43

5.

Akita

36

45.

Miyazaki

38

44.

Oita

63

13.

Tokyo

294

35.

Yamaguchi

74

4.

Miyagi

112

40.

Fukuoka

188

32.

Shimane

11

1.

Hokkaido

207

19.

Yamanashi

35

21.

Gifu

77

37.

Kagawa

38

28.

Hyogo

161

39.

Kochi

38

23.

Aichi

243

3.

Iwate

44

16.

Toyama

46

14.

Kanagawa

243

22.

Shizuoka

158

25.

Shiga

55

34.

Hiroshima

87

38.

Ehime

44

2.

Aomori

63

33.

Okayama

80

6.

Yamagata

47

9.

Tochigi

93

41.

Saga

16

42.

Nagasaki

62

29.

Nara

52

15.

Niigata

132

20.

Nagano

78

27.

Osaka

247

7.

Fukushima

58

11.

Saitama

220

46.

Kagoshima

69

18.

Fukui

42

10.

Gunma

67

26.

Kyoto

90

24.

Mie

77

43.

Kumamoto

39

8.

Ibaraki

102

36.

Tokushima

38

12.

Chiba

193

17.

Ishikawa

44

30.

Wakayama

24

Summary Statistics: Min. 1.0; Valid 4289.0; StDev 12.405278793501942; Max. 47.0; Mean 20.84681743996269;

Variable Format: numeric

Notes: UNF:6:tcW8SVhIOyKJAMuIt/gNDQ==

Size of Municipality

f5791230 Location:

Value

Label

Frequency

Text

2.

Cities with population of 200000 or more

1034

1.

Largest cities

923

3.

Cities with population of less than 200000

1812

4.

Town/village

520

Summary Statistics: Max. 4.0; Min. 1.0; StDev 0.9594655893283418; Mean 2.449755187689438; Valid 4289.0

Variable Format: numeric

Notes: UNF:6:EwTHeda/zgwMgOMf0QRrcw==

Is R Female

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2042

1.

Yes

2247

Summary Statistics: Mean 0.523898344602471; Valid 4289.0; StDev 0.499486774771094; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:NUOOMocmdJ9nUKW+08RHfw==

Age

f5791230 Location:

Value

Label

Frequency

Text

4.

50-59 years

853

1.

20-29 years

427

6.

70-79 years

590

5.

60-69 years

842

2.

30-39 years

709

7.

80-89 years

172

3.

40-49 years

696

Summary Statistics: Min. 1.0; Mean 3.800186523665192; StDev 1.6696478208885333; Valid 4289.0; Max. 7.0;

Variable Format: numeric

Notes: UNF:6:82+dX/mu1TTTRkKyD0Mjsw==

Form of Self-administrated Questionnaire

f5791230 Location:

Value

Label

Frequency

Text

1.

Form A

2060

2.

Form B

2229

Summary Statistics: Valid 4289.0; Mean 1.5197015621356993; StDev 0.49966995123561075; Min. 1.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:LmUUS/zfWkl1r3h3+Mc53w==

Employed?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

2740

0.

No

1549

Summary Statistics: Valid 4289.0; Max. 1.0; Mean 0.638843553275824; Min. 0.0; StDev 0.4803917924563079

Variable Format: numeric

Notes: UNF:6:06rMI9KgG6uqL+HwZUYwhw==

Work Arrangement

f5791230 Location:

Value

Label

Frequency

Text

3.

Temporary worker

623

9.

No answer

0

5.

Self-employed

332

8.

Not applicable

1549

6.

Family worker

125

1.

Executive of a company or a corporation

170

7.

Don't know

2

4.

Dispatched worker from temporary personnel agency

57

2.

Regular employee

1431

Summary Statistics: Mean 4.6502681277687055; Max. 8.0; Valid 4289.0; Min. 1.0; StDev 2.7188449842583147;

Variable Format: numeric

Notes: UNF:6:hv2ecNdE6RgfJoNKWYKxog==

Job Title

f5791230 Location:

Value

Label

Frequency

Text

1.

No managerial post

897

3.

Sub-section Head

155

8.

Not applicable

2858

7.

Don't know

6

6.

Other managerial post

12

9.

No answer

11

5.

Department Head, General Manager

71

2.

Group leader, Foreman

117

4.

Section Head, Manager

162

Summary Statistics: Max. 9.0; StDev 2.9748328557392933; Mean 5.986477034273691; Valid 4289.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:Mf0OSPVC5DTl4iN/DDVdLw==

Category of Establishment

f5791230 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

9.

No answer

37

3.

Branch establishment

798

1.

Government agency

237

2.

Independent establishment

1234

4.

Headquarters or main establishment

374

5.

Don't know

60

Summary Statistics: Min. 1.0; StDev 2.7411853950211906; Mean 4.574492888785282; Max. 9.0; Valid 4289.0

Variable Format: numeric

Notes: UNF:6:8nsJ7bAFOUETy40XZVfIgg==

Industry

f5791230 Location:

Value

Label

Frequency

Text

190.

Industries not elsewhere classified

14

110.

Real estate

38

80.

Transportation

140

20.

Forestry

4

30.

Fishery

16

130.

Information and communication services

81

170.

Other services

341

91.

Wholesale trade

96

998.

Not applicable

0

180.

Public administration

103

100.

Financial institutions, insurance

66

50.

Construction

178

10.

Agriculture

127

140.

Medical and welfare services

296

150.

Educational and research services

123

70.

Electricity, gas, steam supply, water works

26

40.

Mining

2

93.

Restaurants

111

60.

Manufacturing

577

120.

Broadcasting, publishing, advertising, film production

34

999.

No answer

0

92.

Retail trade

326

160.

Legal and accounting services

27

Summary Statistics: Mean 101.34666177549536; StDev 47.03594333059542; Min. 10.0; Valid 2726.0; Max. 190.0;

Variable Format: numeric

Notes: UNF:6:QISirNOvuQSFWLkaPTQ9Lw==

Occupation

f5791230 Location:

Value

Label

Frequency

Text

648.

Silk mill operators and spinners

4

524.

University professors

9

583.

Waiters/waitresses

44

681.

Tatami mat makers/layers

2

628.

Founders, casters, metal material makers

1

542.

Radio and television announcers

0

702.

Carpenters

26

682.

Building construction laborers

24

671.

Projectionists

0

556.

Shipping/sorting clerks

13

999.

No answer

0

516.

Other health care professionals

39

651.

Tailors (including kimono tailors)

5

532.

Photographers

0

554.

General affairs/planning clerks

346

555.

Receptionists/information clerks

27

653.

Sawmill operators, woodworkers

8

593.

Self Defense Force officials

2

513.

Dieticians

2

655.

Shipwrights

0

650.

Bleachers, dyers

3

503.

Mechanical, electrical and chemical engineers

41

635.

Automobile assemblers/automobile mechanics

35

610.

Aircraft pilots, flight navigators, flight engineers

1

590.

Boarding house/apartment/residence/dormitory superintendents

15

577.

Other sales and sales-related workers

14

656.

Bucket makers, wood/bamboo/leaf/vine product makers

4

685.

Warehouse keepers, dockers

20

701.

Supermarket and other shop cashiers

9

597.

Other protective service workers

4

703.

Teachers (not further specified)

10

564.

Stenographers, typists, data-entry clerks

4

998.

Not applicable

0

580.

Launderers

5

644.

Bakers, cake/noodle/tofu makers

18

631.

Iron workers, sheet metal makers

8

531.

Designers

5

626.

Other ceramic/earthen/stoneware makers

0

615.

Radio operators

0

527.

Religious professionals

7

687.

Garbage collectors

45

634.

Electric machine and instrument assemblers/repairers

64

581.

Cooks

67

604.

Fishery workers

13

517.

Judges, public prosecutors, lawyers

0

519.

Certified public accountants, tax accountants

3

684.

Work site foremen, other construction workers

16

595.

Firefighters

6

514.

Nurses

61

573.

Door-to-door sales (excluding insurance and real estate)

113

529.

Journalists/reporters, editors

9

511.

Midwives

1

606.

Train drivers/locomotive drivers

3

535.

Professional athletes (excluding private sports instructors)

1

667.

Umbrella makers

0

550.

Managers in companies/organizations

31

521.

Elementary school teachers

24

568.

Restaurant owners

18

620.

Miners, coal miners

0

547.

Local parliament members

1

586.

Entertainment facility service workers

10

632.

Metal soldering workers

7

658.

Printers, book binders

15

705.

Company employees (not further specified)

0

553.

Other managerial occupations

11

672.

Other technical workers/production process workers

37

638.

Aircraft assemblers/aircraft engine mechanics

2

570.

Peddlers, hawkers, street stall keepers

2

504.

Architectural and civil engineers

21

652.

Sewers, cutters

15

668.

Bag makers

1

596.

Prison guards, gatekeepers

10

679.

Plasterers, scaffolding builders

10

661.

Painters, drawers, signboard makers

15

657.

Paper/paper device/pulp/paper goods makers

7

591.

Fashion models

0

575.

Real estate agents/traders

13

592.

Other service workers

25

614.

Other transportation workers

5

599.

Agricultural/sericultural workers

108

691.

Nominal company executives

0

578.

Housemaids, housekeeping service workers

55

611.

Conductors

1

585.

Club hosts/club hostesses

3

501.

Researchers in natural science

2

625.

Glass/cement goods makers

1

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

567.

Wholesale shop owners

6

530.

Sculptors, artistic painters, industrial artists

6

645.

Miso/soy sauce/canned food/dairy product makers, food makers

54

629.

Chemical product makers

15

508.

Medical doctors (physicians)

13

605.

Fishing boat captains/navigators/engine drivers

1

643.

Grain refining/flour milling machine operators

0

548.

Chief executives

31

600.

Gardeners, landscape gardeners

13

602.

Forestry workers

2

670.

Drafters, technical drawers

6

986.

No occupation

0

563.

Transportation clerks

4

526.

Other educational professionals

0

688.

Miscellaneous laborers

22

689.

Occupations not elsewhere classified

4

512.

Public health nurses

1

636.

Railway car assemblers/repairers

1

623.

Potters, pottery painters

2

678.

Construction work contractors

8

574.

Insurance agents/door-to-door insurance sales persons

17

549.

Senior officials of special-interest organizations

1

640.

Other transportation vehicle assemblers/maintenance workers

2

624.

Stone masons

0

666.

Seal carvers

0

572.

Merchandise intermediary occupations

1

598.

(pre-war) Professional military service persons

0

662.

Lacquer painters, gold lacquer painters

1

607.

Automobile drivers

78

562.

Other outside-duty clerks

4

589.

Inn owners/managers, hotel managers

2

534.

Actors, dancers (excluding private instructors)

4

552.

Postmasters, telegraph/telephone office chiefs

3

571.

Recyclable resource wholesalers/collectors

1

569.

Shop salespersons

131

663.

Mounters, liners

4

649.

Textile and weaving machine operators

3

646.

Tobacco makers

1

582.

Bartenders

0

673.

Boiler technicians, boilermen

4

612.

Railway workers

0

558.

Other office clerks

27

561.

Bill collectors

5

543.

Librarians

1

603.

Other agricultural and forestry workers

0

557.

Sales clerks

48

538.

Social welfare service professionals

14

639.

Bicycle assemblers/maintenance workers

0

616.

Wire operators

0

584.

Flight attendants

0

576.

Pawnshop owners/clerks

0

601.

Livestock farming workers

9

664.

Japanese-style umbrella/lantern/fan makers

0

608.

Ships captains/navigators (not of fishing boat), boat pilots

1

537.

Nursery school teachers

25

619.

Other communication workers

0

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

5

621.

Stone cutters

1

505.

Agricultural and forestry engineers

0

669.

Toy makers

1

536.

Veterinarians

1

509.

Dentists

3

518.

Other legal professionals

4

522.

Junior high school teachers

9

565.

Computer and other similar equipment operators

8

560.

Postal/communication clerks

8

637.

Ship riggers (not elsewhere classified)

0

654.

Cabinet makers, furniture makers, joiners

9

675.

Other stationary engine operators

5

686.

Transportation laborers

25

545.

Senior government officials

5

525.

Teachers for the blind, the deaf, and/or the handicapped

4

618.

Mail carriers, telegraph deliverers

7

594.

Police officers, Coast Guards and railroad security officers

7

676.

Power station/substation workers

2

613.

Sailors

1

680.

Bricklayers, pipe layers

10

630.

Metal machine tool makers, platers, metal processors

39

520.

Kindergarten teachers

5

647.

Alcoholic beverage makers

1

533.

Musicians (excluding private music instructors)

2

622.

Other quarry workers

0

544.

Other professional/technical occupations

9

502.

Researchers in humanities

0

546.

Diet members

0

660.

Shoe makers/repairers, leather/leather goods makers

4

507.

Other engineers and technicians

7

540.

Real estate appraisers

0

528.

Authors and writers

0

510.

Pharmacists

8

551.

Station masters

0

627.

Pig iron/steel makers, smelters

5

506.

Information technology engineers

37

633.

General mechanical equipment assemblers/repairers

56

642.

Optical machine/precision machine assemblers/repairers

6

539.

Private instructors

25

587.

Tour guides

0

704.

Manufacturing workers (not further specified)

8

617.

Telephone operators

2

690.

Landowners (before the Agrarian Reform)

0

609.

Ship engine drivers (excluding fishing boat)

0

677.

Electricity/telephone construction workers

14

523.

High school teachers

13

559.

Accounting clerks

89

641.

Watch assemblers/repairers

1

579.

Barbers, hairdressers, beauticians

30

588.

Other personal service workers

0

683.

Railway track layers

0

541.

Business management consultants

5

674.

Crane/construction machine operators

6

566.

Retail shop owners

43

659.

Rubber/plastic goods makers

18

Summary Statistics: Min. 501.0; Max. 704.0; Mean 587.3815452215304; StDev 51.66232439467345; Valid 2731.0

Variable Format: numeric

Notes: UNF:6:3tIXPMyp2rvnI3bnv2vuww==

How many people work at employer?

f5791230 Location:

Value

Label

Frequency

Text

4.

10-29

372

6.

100-299

287

5.

30-99

352

1.

1

145

7.

300-499

104

88.

Not applicable

0

8.

500-999

118

11.

10,000 or over

132

12.

Government agency

0

3.

5-9

217

10.

2,000-9,999

124

99.

No answer

0

13.

Don't know

0

2.

2-4

394

9.

1,000-1,999

110

Summary Statistics: Valid 2355.0; StDev 2.8015265249022305; Mean 5.056475583864117; Max. 11.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:aVWvgD1VqCXWH/I7TjPyPQ==

Joining Labor Union

f5791230 Location:

Value

Label

Frequency

Text

4.

Don't know

61

1.

I am a member of a labor union at my workplace.

467

2.

I am a member of a labor union outside of my workplace.

49

8.

Not applicable

1549

3.

I am not a member of any labor union.

2145

9.

No answer

18

Summary Statistics: Min. 1.0; StDev 2.6516742978838748; Mean 4.615994404290051; Max. 9.0; Valid 4289.0

Variable Format: numeric

Notes: UNF:6:WgGpqUtFn2FV98Nw/i1Itw==

Satisfaction with Your Job

f5791230 Location:

Value

Label

Frequency

Text

1.

Satisfied

719

4.

Somewhat dissatisfied

207

9.

No answer

2

5.

Dissatisfied

81

2.

Somewhat satisfied

1075

6.

Don't know

3

8.

Not applicable

1549

3.

Neither satisfied nor dissatisfied

653

Summary Statistics: Mean 4.310795057122827; Max. 9.0; StDev 2.894954686575642; Valid 4289.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:RaUhDh5XCTcfwSKU12ZdlA==

Possibility of Loosing Your Job

f5791230 Location:

Value

Label

Frequency

Text

2.

Fairly likely

328

9.

No answer

2

3.

Not too likely

829

8.

Not applicable

1549

1.

Very likely

70

5.

Don't know

162

4.

Not at all likely

1349

Summary Statistics: Mean 5.089531359291215; Valid 4289.0; Max. 9.0; StDev 2.2995994519625613; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:aHK1npOt2W3S+29EpB7RvA==

Does employer import goods?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

472

0.

No

2231

Summary Statistics: StDev 0.3797126705555438; Valid 2703.0; Mean 0.17462079171291167; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:3JP4mdJYNeuyOP4KKJ7Tyg==

Does employer export goods?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

298

0.

No

2405

Summary Statistics: Max. 1.0; StDev 0.3132564177219579; Min. 0.0; Mean 0.11024787273399918; Valid 2703.0

Variable Format: numeric

Notes: UNF:6:xhMLsSZO0ygzslr+qxk0eQ==

Does employer produce goods overseas?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

186

0.

No

2517

Summary Statistics: Valid 2703.0; Max. 1.0; Min. 0.0; Mean 0.06881243063263022; StDev 0.25318174259315906;

Variable Format: numeric

Notes: UNF:6:5dmCjidULefGbj0lovLY7w==

Employer not part of global supply chain

f5791230 Location:

Value

Label

Frequency

Text

0.

No

684

1.

Yes

2019

Summary Statistics: Mean 0.7469478357380686; StDev 0.4348410293613042; Valid 2703.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:ayP8foDgZJh/mjGuCqbh9Q==

Last School Respondent Attended

f5791230 Location:

Value

Label

Frequency

Text

9.

High school

1814

1.

Ordinary elementary school in the old system

55

11.

2-year college

390

7.

University/Graduate school in the old system

11

6.

Higher school or vocational school in the old system

24

13.

Graduate school

59

4.

Vocational school/Commerce school in the old system

24

14.

Don't know

0

12.

University

777

99.

No answer

0

10.

College of technology

153

2.

Higher elementary school in the old system

100

8.

Junior high school

541

5.

Normal school in the old system

3

3.

Junior high school/Girls' high school in the old system

122

Summary Statistics: Mean 9.211392094279399; Valid 4073.0; Max. 13.0; Min. 1.0; StDev 2.413991601796153

Variable Format: numeric

Notes: UNF:6:DiD4R2Rl01EDR+bukMH6jQ==

Completion of the Last School

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

4102

0.

No

178

Summary Statistics: Max. 1.0; StDev 0.1996709119247729; Valid 4280.0; Mean 0.958411214953271; Min. 0.0

Variable Format: numeric

Notes: UNF:6:LSaMYwh8E2MK/AOzeHnedQ==

Type of Residential Area

f5791230 Location:

Value

Label

Frequency

Text

9.

No answer

0

6.

Other

87

4.

New residential area after the war

1612

1.

Area where a number of factories are located

43

5.

Farming/fishing village

809

2.

Area where a number of stores and offices are located

482

3.

Old residential area from the pre-war period

1213

Summary Statistics: Mean 3.688412623645785; Max. 6.0; StDev 1.00326556334642; Valid 4246.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:FAdwfmMiiILciGBNNxBo+g==

Comparison of Household Income with Others at Age 15

f5791230 Location:

Value

Label

Frequency

Text

9.

No answer

0

4.

Above average

661

5.

Far above average

99

3.

Average

1928

2.

Below average

1115

1.

Far below average

412

Summary Statistics: Max. 5.0; Valid 4215.0; Min. 1.0; StDev 0.916969951585202; Mean 2.743772241992881;

Variable Format: numeric

Notes: UNF:6:Yaf99bEaotxZe8DhCzAXTg==

Class Rank in the Senior of Junior High School

f5791230 Location:

Value

Label

Frequency

Text

3.

About in the middle

1708

2.

Relatively low

679

9.

No answer

0

1.

Low

292

5.

High

589

4.

Relatively high

992

Summary Statistics: Valid 4260.0; Max. 5.0; Min. 1.0; Mean 3.2129107981220653; StDev 1.0837104075813881

Variable Format: numeric

Notes: UNF:6:LSyOlYc8QSrVDX2s/UXzlQ==

Agree with Government Redistribution

f5791230 Location:

Value

Label

Frequency

Text

2.

Somewhat Disagree

213

1.

Strongly Disagree

69

5.

Agree

1240

4.

Somewhat Agree

1381

3.

Neither agree nor Disagree

1367

Summary Statistics: Min. 1.0; StDev 0.9612704708095353; Valid 4270.0; Max. 5.0; Mean 3.822014051522249;

Variable Format: numeric

Notes: UNF:6:R7p4SO7g9cSSrhvdSemeIQ==

Political Support

f5791230 Location:

Value

Label

Frequency

Text

6.

Other

8

2.

Democratic Party of Japan

743

8.

Don't know

331

5.

Social Democratic Party

54

4.

Japanese Communist Party

74

7.

There is no particular party I support.

1928

3.

New Komeito

159

1.

Liberal Democratic Party

966

9.

No answer

26

Summary Statistics: Max. 9.0; Min. 1.0; StDev 2.792016234902259; Valid 4289.0; Mean 4.644672417813008

Variable Format: numeric

Notes: UNF:6:Q9LQJYYWI5QClYUZmpLrBQ==

Emotional closeness to town or city of residence

f5791230 Location:

Value

Label

Frequency

Text

4.

Very close

639

2.

Not so close

220

3.

Somewhat close

1333

1.

Not at all close

33

Summary Statistics: Mean 3.158651685393258; Min. 1.0; Valid 2225.0; StDev 0.648391741384058; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:BXpSXBlLW+JIwWrwnTIw4Q==

Acceptance of Foreign Co-workers: China

f5791230 Location:

Value

Label

Frequency

Text

0.

No

715

1.

Yes

1401

Summary Statistics: Mean 0.6620982986767483; Max. 1.0; Valid 2116.0; StDev 0.473106670109468; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1kIl9wsxd2jNKJw0JRE+og==

Acceptance of Foreign Co-workers: South Korea

f5791230 Location:

Value

Label

Frequency

Text

0.

No

620

1.

Yes

1492

Summary Statistics: Mean 0.7064393939393941; Valid 2112.0; Min. 0.0; StDev 0.4555008405560176; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:SDrR2q7tOklQTIZreFAoEQ==

Acceptance of Foreign Co-workers: Taiwan

f5791230 Location:

Value

Label

Frequency

Text

0.

No

566

1.

Yes

1535

Summary Statistics: Max. 1.0; Valid 2101.0; StDev 0.44375139560770027; Mean 0.7306044740599704; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vEKnKeTmaz0whTEt2rhbww==

Acceptance of Foreign Co-workers: Southeast Asia

f5791230 Location:

Value

Label

Frequency

Text

0.

No

629

1.

Yes

1465

Summary Statistics: StDev 0.45853361818795146; Max. 1.0; Valid 2094.0; Mean 0.699617956064947; Min. 0.0

Variable Format: numeric

Notes: UNF:6:hDTPBn1HpQ7U5F02bq+pYQ==

Acceptance of Foreign Co-workers: Europe

f5791230 Location:

Value

Label

Frequency

Text

0.

No

525

1.

Yes

1574

Summary Statistics: Mean 0.7498808956646016; StDev 0.4331846456069928; Min. 0.0; Max. 1.0; Valid 2099.0;

Variable Format: numeric

Notes: UNF:6:uqtESY8Ojm5JI5rJD1lGfw==

Acceptance of Foreign Co-workers: North America

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1586

0.

No

516

Summary Statistics: Mean 0.754519505233111; StDev 0.4304741332425282; Max. 1.0; Valid 2102.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:003KjETEc+9KnqWpicWeOw==

Acceptance of Foreign Neighbors: China

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1361

0.

No

760

Summary Statistics: Mean 0.6416784535596414; Valid 2121.0; StDev 0.4796203415523722; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:sMLO9J6CUxg2UBuSOKe/3A==

Acceptance of Foreign Neighbors: South Korea

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1470

0.

No

652

Summary Statistics: StDev 0.46146571598608116; Valid 2122.0; Max. 1.0; Mean 0.6927426955702163; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vNbR8Rtn4u17TKaK5j5V5w==

Acceptance of Foreign Neighbors: Taiwan

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1511

0.

No

608

Summary Statistics: StDev 0.4524343450889335; Min. 0.0; Valid 2119.0; Max. 1.0; Mean 0.7130722038697499

Variable Format: numeric

Notes: UNF:6:jXcy26xQFY721/LSS05hXw==

Acceptance of Foreign Neighbors: Southeast Asia

f5791230 Location:

Value

Label

Frequency

Text

0.

No

687

1.

Yes

1421

Summary Statistics: Max. 1.0; StDev 0.4688218415005895; Mean 0.6740986717267563; Min. 0.0; Valid 2108.0

Variable Format: numeric

Notes: UNF:6:wtlLvvXiMuTY8VQrvqJcYQ==

Acceptance of Foreign Neighbors: Europe

f5791230 Location:

Value

Label

Frequency

Text

0.

No

526

1.

Yes

1585

Summary Statistics: Max. 1.0; Mean 0.7508289909995283; Valid 2111.0; StDev 0.4326355083258197; Min. 0.0

Variable Format: numeric

Notes: UNF:6:q2XPfIoBxm8fY98UTAvelg==

Acceptance of Foreign Neighbors: North america

f5791230 Location:

Value

Label

Frequency

Text

0.

No

516

1.

Yes

1599

Summary Statistics: StDev 0.4295773804328008; Max. 1.0; Valid 2115.0; Mean 0.7560283687943268; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:LS9QRi7XmyD57WEiJPlsxg==

Acceptance of Foreign Relatives: China

f5791230 Location:

Value

Label

Frequency

Text

0.

No

913

1.

Yes

1194

Summary Statistics: StDev 0.49565113034495417; Mean 0.5666824869482683; Min. 0.0; Valid 2107.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:LVcdajPlHLUwWg+z93OHFg==

Acceptance of Foreign Relatives: South Korea

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1267

0.

No

844

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.48997529882925583; Valid 2111.0; Mean 0.6001894836570357

Variable Format: numeric

Notes: UNF:6:1uBdMALFY5QWRTmsgxkUYg==

Acceptance of Foreign Relatives: Taiwan

f5791230 Location:

Value

Label

Frequency

Text

0.

No

797

1.

Yes

1311

Summary Statistics: Mean 0.6219165085388986; Valid 2108.0; StDev 0.4850236722583077; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:iwKu1KU1WmOiNbo4Bsj9Tg==

Acceptance of Foreign Relatives: Southeast Asia

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1227

0.

No

876

Summary Statistics: Mean 0.5834522111269621; Valid 2103.0; Min. 0.0; Max. 1.0; StDev 0.49310379195649845

Variable Format: numeric

Notes: UNF:6:yqtjcJVYkJiJD+xNDUAlNg==

Acceptance of Foreign Relatives: Europe

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1431

0.

No

677

Summary Statistics: StDev 0.46703193726756487; Mean 0.6788425047438325; Valid 2108.0; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:IHTDESgPLznV0RuEYMSBaw==

Acceptance of Foreign Relatives: North America

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1448

0.

No

661

Summary Statistics: Max. 1.0; Valid 2109.0; StDev 0.46399298812421047; Min. 0.0; Mean 0.6865813181602662

Variable Format: numeric

Notes: UNF:6:QWCovWuK0pzEYD95CRS6tw==

Views on the Restriction of Foreign Products

f5791230 Location:

Value

Label

Frequency

Text

1.

Strongly agree

57

6.

Disagree

117

7.

Strongly disagree

37

3.

Somewhat agree

492

2.

Agree

244

9.

No answer

9

5.

Somewhat disagree

248

4.

Neither agree nor disagree

1025

8.

Not applicable

2060

Summary Statistics: Valid 4289.0; StDev 2.2801743895921947; Mean 5.801585451154131; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:gbD97mLRktbyUllVGook8g==

Should follow national interest even if it leads to conflicts with other nations

f5791230 Location:

Value

Label

Frequency

Text

4.

Neither Agree nor Disagree

966

5.

Somewhat Agree

593

7.

Strongly Agree

67

2.

Disagree

87

3.

Somewhat Disagree

198

6.

Agree

285

1.

Strongly Disagree

22

Summary Statistics: StDev 1.1022184670562378; Mean 4.417493237150585; Max. 7.0; Valid 2218.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:af86FzNMlg1oyYctmtfNzQ==

Views on Globalization: Job Opportunity for Workers in Japan

f5791230 Location:

Value

Label

Frequency

Text

6.

Bad

157

2.

Good

266

3.

Somewhat good

405

88.

Not applicable

2060

8.

Can't choose

218

1.

Very good

48

5.

Somewhat bad

331

7.

Very bad

43

99.

No answer

23

4.

Neither good nor bad

738

Summary Statistics: Min. 1.0; Mean 44.986243879692594; Max. 99.0; Valid 4289.0; StDev 41.94628925177563

Variable Format: numeric

Notes: UNF:6:b1aFGEN3BgPR/svLLVotLA==

Does R work for foreign capital company?

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2097

1.

Yes

24

Summary Statistics: StDev 0.1057953479776234; Valid 2121.0; Max. 1.0; Min. 0.0; Mean 0.011315417256011415;

Variable Format: numeric

Notes: UNF:6:iWqk/zgjZ4HCZWDw+JilLA==

Weight

f5791230 Location:

Summary Statistics: Min. 18823.0; StDev 5207.817262365096; Max. 36734.0; Mean 24118.201678712998; Valid 4289.0

Variable Format: numeric

Notes: UNF:6:Zf9Zggv0L3IzdHXw2M51zw==

Consolidated Job Type

f5791230 Location:

Summary Statistics: Min. 1.0; StDev 1.2757529155907332; Max. 6.0; Mean 2.753469685902116; Valid 2738.0;

Variable Format: numeric

Notes: UNF:6:SWZlbg/tBK08IDwxMkZKCg==

RECODE of job_type

f5791230 Location:

Value

Label

Frequency

Text

4.

Self-Employed or Family Worker

457

3.

Temporary Worker

680

2.

Regular Employee

1431

1.

Executive

170

Summary Statistics: StDev 0.8413403322129751; Mean 2.520087655222789; Valid 2738.0; Max. 4.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:HNueFNNly2Kl+X1w06zVkQ==

Is R a Temp worker?

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2058

1.

Yes

680

Summary Statistics: StDev 0.4321385605449859; Mean 0.24835646457268135; Min. 0.0; Valid 2738.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:sl/l3jzNG32KPuJlB9VPeQ==

Level of management responsibility

f5791230 Location:

Value

Label

Frequency

Text

6.

Executive

170

1.

No managerial post

1577

2.

Group leader, Foreman

117

3.

Sub-section head

155

5.

Department Head, General Manager

71

4.

Section Head, Manager

162

Summary Statistics: Mean 1.9089698046181127; StDev 1.5941277749685179; Valid 2252.0; Min. 1.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:X7bBBSPuCiG/LiCJ6vhc/Q==

RECODE of mgmt_resp (Level of management responsibility)

f5791230 Location:

Summary Statistics: Valid 2584.0; Min. 0.0; Mean 0.2217492260061918; Max. 1.0; StDev 0.4155036933673046

Variable Format: numeric

Notes: UNF:6:/HJMCrPeIVqHDKy5/nhvPA==

How satisfied are you with your job?

f5791230 Location:

Value

Label

Frequency

Text

2.

Somewhat dissatisfied

207

5.

Satisfied

719

3.

Neither satisfied nor dissatisfied

653

4.

Somewhat satisfied

1075

1.

Dissatisfied

81

Summary Statistics: Min. 1.0; Mean 3.783912248628886; Max. 5.0; Valid 2735.0; StDev 1.0122317284266011

Variable Format: numeric

Notes: UNF:6:5o7dJM/weD0eVzMJbNyS5Q==

Workplace type

f5791230 Location:

Value

Label

Frequency

Text

1.

Government agency

237

2.

Independent establishment

1234

4.

Headquarters or main establishment

374

3.

Branch establishment

798

Summary Statistics: Min. 1.0; Max. 4.0; Mean 2.495270525917517; Valid 2643.0; StDev 0.8441567606064949;

Variable Format: numeric

Notes: UNF:6:V6uKfg2uDEyIzyzCnWfqbA==

Employed at headquarters of employer

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

1608

0.

No

798

Summary Statistics: Max. 1.0; Valid 2406.0; StDev 0.4709113044620837; Min. 0.0; Mean 0.6683291770573567

Variable Format: numeric

Notes: UNF:6:QrbXgTjNIR1u9pBKGd2x/g==

Does R work in manufacturing?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

577

0.

No

2149

Summary Statistics: StDev 0.40856384805728124; Valid 2726.0; Min. 0.0; Max. 1.0; Mean 0.21166544387380712

Variable Format: numeric

Notes: UNF:6:kOxoJbudUpW0kr1KAEbGcQ==

RECODE of industry (Industry)

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2577

1.

Yes

149

Summary Statistics: Valid 2726.0; StDev 0.2273548192647619; Min. 0.0; Mean 0.05465884079236964; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:5lG1FUeC8EHrStYaHaETyA==

Does R work in Comparative disadvantage manufacturing?

f5791230 Location:

Summary Statistics: StDev 0.23161714730263358; Min. 0.0; Mean 0.05685986793837131; Max. 1.0; Valid 2726.0

Variable Format: numeric

Notes: UNF:6:ExRckSABMjZ5WNFk5RbZFQ==

manu_disadv

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2304

1.

Yes

422

Summary Statistics: StDev 0.36178560580920555; Mean 0.1548055759354368; Valid 2726.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:lRfW06veZD1OlX/IGWABrA==

Does R work in Comparative Disadvantage Sector?

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2155

1.

Yes

571

Summary Statistics: Valid 2726.0; Max. 1.0; Mean 0.20946441672780655; StDev 0.40700103376484226; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:8pyLDz2t39vK6+RePM0dKg==

Union Member?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

516

0.

No

2206

Summary Statistics: Valid 2722.0; Min. 0.0; Max. 1.0; Mean 0.18956649522410035; StDev 0.39202997379589943;

Variable Format: numeric

Notes: UNF:6:7jXNGuvTv6dvs4pkghREyw==

Is R a college/university graduate?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

847

0.

No

3226

Summary Statistics: Valid 4073.0; Mean 0.2079548244537189; Min. 0.0; Max. 1.0; StDev 0.4058941546220104

Variable Format: numeric

Notes: UNF:6:S9hj/UxYNNNIKnVkDqE8Yg==

Including CoT in college graduates

f5791230 Location:

Summary Statistics: StDev 0.430447500597221; Min. 0.0; Valid 4073.0; Max. 1.0; Mean 0.24551927326295134

Variable Format: numeric

Notes: UNF:6:BXLHj+qND3QVQC1947o7GA==

RECODE of emp_size (How many people work at employer?)

f5791230 Location:

Summary Statistics: Min. 0.0; StDev 0.36237585184772436; Valid 2355.0; Max. 1.0; Mean 0.15541401273885358;

Variable Format: numeric

Notes: UNF:6:v2LEfxWwTo5bkZeOKHzxkA==

Does employer have >299 employees?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

588

0.

No

1767

Summary Statistics: Valid 2355.0; Mean 0.24968152866242013; Min. 0.0; Max. 1.0; StDev 0.43292060112237757;

Variable Format: numeric

Notes: UNF:6:TIoCcqPG/w1ZdmH65wH5mA==

Does employer both import and export goods?

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2559

1.

Yes

144

Summary Statistics: Valid 2703.0; Mean 0.05327413984461703; Min. 0.0; Max. 1.0; StDev 0.22462117452237207;

Variable Format: numeric

Notes: UNF:6:zEgdf4BElTWYc13+y0OUjg==

Employer is part of global supply chain

f5791230 Location:

Value

Label

Frequency

Text

0.

No

2009

1.

Yes

695

Summary Statistics: StDev 0.4370750381866455; Mean 0.25702662721893504; Max. 1.0; Valid 2704.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:xx3L5tfuaPCWQq9NpTv39w==

emp_glob_ord

f5791230 Location:

Summary Statistics: StDev 0.70347924946956; Valid 1646.0; Mean 0.5455650060753394; Min. 0.0; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:qn127PYjKkfvaogDWcmm0Q==

Probability of losing job in next 12 months

f5791230 Location:

Value

Label

Frequency

Text

2.

Not too likely

829

3.

Fairly likely

328

1.

Not at all likely

1349

4.

Very likely

70

Summary Statistics: Valid 2576.0; Mean 1.657996894409938; Max. 4.0; StDev 0.8018656072118134; Min. 1.0

Variable Format: numeric

Notes: UNF:6:K6vpEGZRZ/SjhXFjBNn4yg==

pid

f5791230 Location:

Summary Statistics: StDev 2.7079449544863587; Max. 7.0; Min. 1.0; Valid 3932.0; Mean 4.333418107833171

Variable Format: numeric

Notes: UNF:6:2Mncjw8IwncOxFX3BPuQVg==

Does R support DPJ?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

743

0.

No

3189

Summary Statistics: Min. 0.0; StDev 0.39152850852962223; Max. 1.0; Valid 3932.0; Mean 0.18896236012207535;

Variable Format: numeric

Notes: UNF:6:/0rUoyjjfyGAda5AoZjUeg==

Does R support leftist parties?

f5791230 Location:

Value

Label

Frequency

Text

0.

No

3804

1.

Yes

128

Summary Statistics: StDev 0.17748716908012824; Max. 1.0; Valid 3932.0; Min. 0.0; Mean 0.03255340793489325

Variable Format: numeric

Notes: UNF:6:iID+E9cl/NL9HKIG+DolxQ==

Does R support LDP?

f5791230 Location:

Value

Label

Frequency

Text

1.

Yes

966

0.

No

2966

Summary Statistics: StDev 0.4305423332431892; Mean 0.24567650050864884; Max. 1.0; Valid 3932.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:KOoOV9hrpZHpj8qjdQppnQ==

Japan should limit imports

f5791230 Location:

Value

Label

Frequency

Text

3.

Somewhat Disagree

248

6.

Agree

244

4.

Neither Agree nor Disagree

1025

5.

Somewhat Agree

492

7.

Strongly Agree

57

1.

Strongly Disagree

37

2.

Disagree

117

Summary Statistics: Valid 2220.0; Min. 1.0; Mean 4.251351351351354; StDev 1.1411721925005043; Max. 7.0;

Variable Format: numeric

Notes: UNF:6:MhO8b51rg+lgSynr7FJ3TA==

Globalization good for Japanese workers

f5791230 Location:

Value

Label

Frequency

Text

3.

Somewhat Disagree

331

4.

Neither Agree nor Disagree

738

2.

Disagree

157

5.

Somewhat Agree

405

1.

Strongly Disagree

43

6.

Agree

266

7.

Strongly Agree

48

Summary Statistics: Min. 1.0; StDev 1.2689610819951633; Max. 7.0; Valid 1988.0; Mean 4.154426559356137

Variable Format: numeric

Notes: UNF:6:MdULEHN+TONjo/BGIuS6lg==

RECODE of xeno_coworkers_kr (Acceptance of Foreign Co-workers: South Korea)

f5791230 Location:

Summary Statistics: Valid 4289.0; Mean 0.4924224761016643; Min. 0.0; StDev 0.5000008699790178; Max. 1.0

Variable Format: numeric

Notes: UNF:6:PvVVFU2nECNWWm1dq7005g==

RECODE of xeno_coworkers_tw (Acceptance of Foreign Co-workers: Taiwan)

f5791230 Location:

Summary Statistics: Mean 0.4898577757052897; Max. 1.0; Min. 0.0; Valid 4289.0; StDev 0.49995541154807654

Variable Format: numeric

Notes: UNF:6:OWQkXH7JyDnp6m1djeSAkQ==

RECODE of xeno_coworkers_cn (Acceptance of Foreign Co-workers: China)

f5791230 Location:

Summary Statistics: Mean 0.4933550944276116; Min. 0.0; Max. 1.0; StDev 0.5000141369715833; Valid 4289.0;

Variable Format: numeric

Notes: UNF:6:9AQUmq9UyvqGsX5MOYMtkg==

RECODE of xeno_coworkers_sa (Acceptance of Foreign Co-workers: Southeast Asia)

f5791230 Location:

Summary Statistics: Max. 1.0; Mean 0.4882256936348861; Min. 0.0; Valid 4289.0; StDev 0.4999196291582094

Variable Format: numeric

Notes: UNF:6:Tu59RooCbSZPp6oiuyjsDA==

RECODE of xeno_coworkers_eu (Acceptance of Foreign Co-workers: Europe)

f5791230 Location:

Summary Statistics: Mean 0.4893914665423195; Max. 1.0; StDev 0.49994573206612786; Valid 4289.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:MGQH9OvI59xahFhCuM2mew==

RECODE of xeno_coworkers_na (Acceptance of Foreign Co-workers: North America)

f5791230 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.49009093028677747; StDev 0.49996008808456144; Valid 4289.0;

Variable Format: numeric

Notes: UNF:6:gJy5T5s6v6vtTjTEU1nRbQ==

xeno_coworkers_nonmiss

f5791230 Location:

Summary Statistics: Mean 2.9433434366986058; Min. 0.0; Valid 4289.0; Max. 6.0; StDev 2.9903932180692747

Variable Format: numeric

Notes: UNF:6:KiuA4TmeuC9uclx5SOEIfg==

xeno_coworkers_tot

f5791230 Location:

Summary Statistics: Min. 0.0; Mean 1.7840988575425105; Max. 5.0; StDev 2.308933592269083; Valid 4289.0;

Variable Format: numeric

Notes: UNF:6:mipQYmYul5u6c4mTYqjz5A==

xeno_coworkers_avg

f5791230 Location:

Summary Statistics: StDev 0.34034509165533305; Min. 0.0; Valid 2122.0; Max. 1.0; Mean 0.6055215095204075

Variable Format: numeric

Notes: UNF:6:aaAbo+bPfSoyzudrKSq+fA==

RECODE of xeno_neighbors_kr (Acceptance of Foreign Neighbors: South Korea)

f5791230 Location:

Summary Statistics: Min. 0.0; StDev 0.5000307745876887; Valid 4289.0; Mean 0.49475402191653306; Max. 1.0

Variable Format: numeric

Notes: UNF:6:zO7lCIFuCc9Zx/WItOI+SQ==

RECODE of xeno_neighbors_tw (Acceptance of Foreign Neighbors: Taiwan)

f5791230 Location:

Summary Statistics: Max. 1.0; Valid 4289.0; StDev 0.5000229451902801; Mean 0.49405455817206967; Min. 0.0

Variable Format: numeric

Notes: UNF:6:VmPs9nwl8OaU8L6PxaqaLw==

RECODE of xeno_neighbors_cn (Acceptance of Foreign Neighbors: China)

f5791230 Location:

Summary Statistics: Valid 4289.0; Mean 0.49452086733504524; Max. 1.0; Min. 0.0; StDev 0.5000282735435133;

Variable Format: numeric

Notes: UNF:6:rh2jURwYA4vZo8c9OSKB0A==

RECODE of xeno_neighbors_sa (Acceptance of Foreign Neighbors: Southeast Asia)

f5791230 Location:

Summary Statistics: Valid 4289.0; StDev 0.49998586262870043; Min. 0.0; Mean 0.49148985777569537; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:kBhd2paMSwwokxc+sGs6ow==

RECODE of xeno_neighbors_eu (Acceptance of Foreign Neighbors: Europe)

f5791230 Location:

Summary Statistics: Min. 0.0; Valid 4289.0; Mean 0.4921893215201586; Max. 1.0; StDev 0.4999972813057858;

Variable Format: numeric

Notes: UNF:6:k8IMDsd60Mdieovj5voscg==

RECODE of xeno_neighbors_na (Acceptance of Foreign Neighbors: North america)

f5791230 Location:

Summary Statistics: StDev 0.5000109833741114; Min. 0.0; Mean 0.4931219398461274; Valid 4289.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:++xdITwkE/H2CgmxfSj5sQ==

xeno_neighbors_nonmiss

f5791230 Location:

Summary Statistics: Max. 6.0; Valid 4289.0; Min. 0.0; StDev 2.991365930841994; Mean 2.9601305665656756

Variable Format: numeric

Notes: UNF:6:qdBtif8wKSP8x/coqmtL4w==

xeno_neighbors_tot

f5791230 Location:

Summary Statistics: StDev 2.294571026650456; Valid 4289.0; Min. 0.0; Mean 1.7687106551643978; Max. 5.0

Variable Format: numeric

Notes: UNF:6:Tt1pQV6rznMVFwtcK8HsYg==

xeno_neighbors_avg

f5791230 Location:

Summary Statistics: Valid 2132.0; Min. 0.0; Max. 1.0; Mean 0.5982332601654046; StDev 0.34220594089902423;

Variable Format: numeric

Notes: UNF:6:xNsZb84MBhjaFc/y1PedYA==

RECODE of xeno_marriage_kr (Acceptance of Foreign Relatives: South Korea)

f5791230 Location:

Summary Statistics: StDev 0.49999728130578575; Mean 0.492189321520159; Max. 1.0; Min. 0.0; Valid 4289.0

Variable Format: numeric

Notes: UNF:6:/4DhGY5FsGsOIOtCVcohPQ==

RECODE of xeno_marriage_tw (Acceptance of Foreign Relatives: Taiwan)

f5791230 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.4914898577756954; Valid 4289.0; StDev 0.49998586262870026

Variable Format: numeric

Notes: UNF:6:Y3jsjX7I/QA5pZLZkOxabg==

RECODE of xeno_marriage_cn (Acceptance of Foreign Relatives: China)

f5791230 Location:

Summary Statistics: Min. 0.0; StDev 0.4999818388422206; Mean 0.4912567031942118; Max. 1.0; Valid 4289.0;

Variable Format: numeric

Notes: UNF:6:wnCDUoWVPt9JkGCy10QM7g==

RECODE of xeno_marriage_sa (Acceptance of Foreign Relatives: Southeast Asia)

f5791230 Location:

Summary Statistics: Max. 1.0; StDev 0.4999646558221556; Min. 0.0; Valid 4289.0; Mean 0.4903240848682664;

Variable Format: numeric

Notes: UNF:6:rburnKHb0UJG9P1CtL7bEw==

RECODE of xeno_marriage_eu (Acceptance of Foreign Relatives: Europe)

f5791230 Location:

Summary Statistics: Mean 0.4914898577756954; Min. 0.0; Max. 1.0; Valid 4289.0; StDev 0.4999858626287003;

Variable Format: numeric

Notes: UNF:6:Z8PEESyYDQiOaRGQmyuuhQ==

RECODE of xeno_marriage_na (Acceptance of Foreign Relatives: North America)

f5791230 Location:

Summary Statistics: Min. 0.0; Mean 0.4917230123572047; Max. 1.0; Valid 4289.0; StDev 0.4999897776330593

Variable Format: numeric

Notes: UNF:6:fNrGkYxF+w8qBeiHp+gpzg==

xeno_marriage_nonmiss

f5791230 Location:

Summary Statistics: Mean 2.948472837491204; Min. 0.0; Valid 4289.0; Max. 6.0; StDev 2.994772049897975

Variable Format: numeric

Notes: UNF:6:JZgnf495GcoTCFhtaGnrsg==

xeno_marriage_tot

f5791230 Location:

Summary Statistics: Mean 1.5584052226625866; StDev 2.216353919142528; Min. 0.0; Valid 4289.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:646W6fhwyO7BTzGXhPSnPg==

xeno_marriage_avg

f5791230 Location:

Summary Statistics: Mean 0.5294478435725084; Valid 2119.0; StDev 0.3701381546847528; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:b+xxkYhJjdOAKgUr0ZBHqQ==

cosmo_avg

f5791230 Location:

Summary Statistics: StDev 0.3061273804348333; Max. 1.0; Valid 2083.0; Mean 0.5771696677326847; Min. 0.0

Variable Format: numeric

Notes: UNF:6:8WJesCpY4CHtsAWVX7k8Qg==

RECODE of industry (Industry)

f5791230 Location:

Value

Label

Frequency

Text

3.

Manufacturing

577

1.

Primary

149

4.

Government

103

2.

Services

1883

Summary Statistics: Min. 1.0; Mean 2.233775811209439; Valid 2712.0; Max. 4.0; StDev 0.6042350644956729;

Variable Format: numeric

Notes: UNF:6:G9zBqZCq7yZQxG0zEJrP4Q==

manu_serv

f5791230 Location:

Summary Statistics: StDev 0.42380516834000304; Mean 1.7654471544715444; Max. 2.0; Valid 2460.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:xO7OHGp6YLfeCC8zT0olMw==

mean_trade

f5791230 Location:

Summary Statistics: Min. 3.9200000762939453; StDev 0.19400056232024648; Valid 4289.0; Mean 4.254611279142295; Max. 5.0714287757873535;

Variable Format: numeric

Notes: UNF:6:tS4otpX/P8TkuQxmbu13pw==

total_emp_glob

f5791230 Location:

Summary Statistics: Max. 55.0; Mean 24.31615761249706; Min. 0.0; StDev 16.805094914440797; Valid 4289.0;

Variable Format: numeric

Notes: UNF:6:+mdrmwte5X+FQ/37oceOXw==

total_emp

f5791230 Location:

Summary Statistics: Max. 188.0; StDev 54.5997806238802; Min. 6.0; Valid 4289.0; Mean 92.22732571695028

Variable Format: numeric

Notes: UNF:6:zzsZ0VSgQHI0H/5djtyOqA==

emp_glob_pct

f5791230 Location:

Summary Statistics: Mean 0.25223106361611186; Max. 0.4615384638309479; Min. 0.0; Valid 4289.0; StDev 0.0899840685939563

Variable Format: numeric

Notes: UNF:6:CKAvKWbHT571vzuhsl72ww==

Occpuation

f5791230 Location:

Variable Format: character

Notes: UNF:6:DElqIgT61p0Kwo4h6puhfw==

SOC

f5791230 Location:

Summary Statistics: Min. 111021.0; Valid 3412.0; Mean 226517.19900351652; Max. 535011.0; StDev 93328.02843814314

Variable Format: numeric

Notes: UNF:6:SyexYEFwaJzUBt6bIgcbFA==

Employement

f5791230 Location:

Summary Statistics: Max. 1815340.0; Min. 1430.0; Mean 51388.99589683709; Valid 3412.0; StDev 167108.1459688041;

Variable Format: numeric

Notes: UNF:6:oR4wxgfZYzrdqzJoc062gA==

Cumulative

f5791230 Location:

Summary Statistics: StDev 6737218.090013578; Max. 3.923322E7; Min. 389090.0; Valid 3412.0; Mean 3.1617209678048026E7;

Variable Format: numeric

Notes: UNF:6:wQuuE8bjwiHzZakN9H49mQ==

Ranking

f5791230 Location:

Summary Statistics: Mean 239.5703399765534; Min. 1.0; Max. 285.0; StDev 54.61767147768534; Valid 3412.0

Variable Format: numeric

Notes: UNF:6:5l0MpE/6fkfmd9HVUUt/ug==

Score

f5791230 Location:

Summary Statistics: Min. 25.0; Valid 3412.0; Mean 39.10726846424371; Max. 100.0; StDev 13.033285531025106;

Variable Format: numeric

Notes: UNF:6:JRM7aXICRrbQnmSjrEEJkQ==

ISCO_TITLE

f5791230 Location:

Variable Format: character

Notes: UNF:6:gZuSgsqlprVzSjwwBEHl7A==

SOC_CODE1

f5791230 Location:

Summary Statistics: StDev 13.972512009081742; Mean 39.18681318681318; Min. 11.0; Valid 546.0; Max. 53.0

Variable Format: numeric

Notes: UNF:6:DP86KIzM79017GpVxL3YSA==

SOC_CODE2

f5791230 Location:

Summary Statistics: Valid 546.0; Max. 9199.0; Mean 4054.879120879127; Min. 1011.0; StDev 2546.0047579616316

Variable Format: numeric

Notes: UNF:6:yrjF+/bomkNpw6/bXE/EXw==

SOC_TIT

f5791230 Location:

Variable Format: character

Notes: UNF:6:7DVPMpW1Im/fAIwB1yIPiA==

Occupation

f5791227 Location:

Summary Statistics: Max. 975.0; Min. 5.0; StDev 200.34016315405663; Valid 1076.0; Mean 495.71654275092817

Variable Format: numeric

Notes: UNF:6:slTORbw5nqrKwwB5U0sHwQ==

occ1990dd

f5791227 Location:

Summary Statistics: Valid 1076.0; Max. 889.0; StDev 200.66526089715683; Min. 8.0; Mean 379.7091078066937;

Variable Format: numeric

Notes: UNF:6:hdAGvQFo+gB9W7fOc4JyaQ==

job_description

f5791227 Location:

Variable Format: character

Notes: UNF:6:71CMAJgv0eE/NfHMOrdhXw==

ISCO88 4 digit

f5791227 Location:

Summary Statistics: Valid 1354.0; Min. 110.0; StDev 2244.326051962381; Max. 9333.0; Mean 5251.669867060528

Variable Format: numeric

Notes: UNF:6:K1ctrg55YwxJaS0fkHx2Kg==

task_offshorability

f5791227 Location:

Summary Statistics: Mean 0.42099282358423024; Valid 1076.0; StDev 1.3969279578924048; Min. -3.154930591583252; Max. 2.68599271774292

Variable Format: numeric

Notes: UNF:6:v3g6Ic5oOdjPtbq1f+HaIA==

task_abstract

f5791227 Location:

Summary Statistics: StDev 1.7134735415879259; Max. 9.002079963684082; Mean 2.3677382447850395; Min. 0.04155910015106201; Valid 1076.0

Variable Format: numeric

Notes: UNF:6:5DOarNQmlSYGkM6cVKcJiw==

task_routine

f5791227 Location:

Summary Statistics: Mean 3.8300937476211305; Max. 8.536230087280273; Valid 1076.0; StDev 1.9199097980252995; Min. 1.25

Variable Format: numeric

Notes: UNF:6:nwuFC0guP9cUnASca7qRNQ==

task_manual

f5791227 Location:

Summary Statistics: StDev 1.24699058555942; Max. 6.167675495147705; Mean 1.1101573031919125; Valid 1076.0; Min. 1.000000013351432E-10

Variable Format: numeric

Notes: UNF:6:daWSbSqm7+s9gAZ9Gmh2UQ==

count

f5791227 Location:

Summary Statistics: Max. 1.0; Mean 1.0; StDev 0.0; Valid 1076.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:n8cO+sAVleSZLe5T0YMkPg==

RTI

f5791227 Location:

Summary Statistics: Mean 1.407742724568689; StDev 2.666597898181785; Max. 25.651355743408203; Min. -2.231675148010254; Valid 1076.0

Variable Format: numeric

Notes: UNF:6:ocpNnwTMvwsk3atYdMFMLg==

pref_name

f5791227 Location:

Variable Format: character

Notes: UNF:6:t82igtpUpyoRS/mA5fPytw==

ind_code

f5791227 Location:

Summary Statistics: StDev 6.364531138369261; Mean 17.55207886840976; Min. 1.0; Max. 23.0; Valid 2333.0

Variable Format: numeric

Notes: UNF:6:q121/9CCFd5Frl65KOD+Jg==

ind_text

f5791227 Location:

Variable Format: character

Notes: UNF:6:J5Mc/sL7cWxpbIZsm/OD7g==

RTFPir

f5791227 Location:

Summary Statistics: StDev 0.16128659615775223; Max. 0.777999997138977; Mean 0.032925605954591104; Min. -0.9710000157356262; Valid 1156.0

Variable Format: numeric

Notes: UNF:6:WDNDjplH8Hs+5SWDR59gSw==

TFP

f5791227 Location:

Summary Statistics: Min. -0.14454182982444763; Mean 0.06068456796134747; Max. 0.3323889672756195; Valid 4220.0; StDev 0.09577097082651082

Variable Format: numeric

Notes: UNF:6:83lgdM7UXXbRk4lH+dVwUg==

labor_prod

f5791227 Location:

Summary Statistics: Mean 0.09808412236586367; Max. 0.39899998903274536; Min. -0.164000004529953; StDev 0.12160024799426668; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:UGX2Q4F0aa3xwp+3zfxh6g==

Sequential Record Identifier (Added by ICPSR)

f5791227 Location:

Summary Statistics: Mean 2110.5; Min. 1.0; Valid 4220.0; StDev 1218.353397007617; Max. 4220.0;

Variable Format: numeric

Notes: UNF:6:bmsvZ5X+yr8NHbugWd2MfQ==

Regional Block

f5791227 Location:

Value

Label

Frequency

Text

4.

Kinki

627

6.

Kyusyu

508

5.

Cyugoku or Shikoku

427

3.

Chubu

905

2.

Kanto

1190

1.

Hokkaido or Tohoku

563

Summary Statistics: Valid 4220.0; StDev 1.5576544798377012; Max. 6.0; Mean 3.163270142180094; Min. 1.0

Variable Format: numeric

Notes: UNF:6:aqmdgbKNsQDZV8n/8KwKXw==

Prefecture Name

f5791227 Location:

Value

Label

Frequency

Text

29.

Nara

52

40.

Fukuoka

182

23.

Aichi

233

33.

Okayama

80

21.

Gifu

75

34.

Hiroshima

86

14.

Kanagawa

243

19.

Yamanashi

35

6.

Yamagata

47

27.

Osaka

246

24.

Mie

76

13.

Tokyo

282

3.

Iwate

44

35.

Yamaguchi

73

4.

Miyagi

109

15.

Niigata

119

38.

Ehime

44

41.

Saga

16

46.

Kagoshima

65

1.

Hokkaido

207

22.

Shizuoka

157

36.

Tokushima

38

32.

Shimane

9

42.

Nagasaki

62

47.

Okinawa

43

5.

Akita

36

43.

Kumamoto

39

44.

Oita

63

26.

Kyoto

90

2.

Aomori

62

18.

Fukui

42

31.

Tottori

21

12.

Chiba

189

9.

Tochigi

92

10.

Gunma

67

37.

Kagawa

38

7.

Fukushima

58

8.

Ibaraki

102

28.

Hyogo

160

16.

Toyama

46

20.

Nagano

78

30.

Wakayama

24

17.

Ishikawa

44

25.

Shiga

55

39.

Kochi

38

11.

Saitama

215

45.

Miyazaki

38

Summary Statistics: Valid 4220.0; StDev 12.422362577936441; Min. 1.0; Max. 47.0; Mean 20.854265402843616;

Variable Format: numeric

Notes: UNF:6:fDUisCibfe3pZtFXryhKtQ==

Size of Municipality

f5791227 Location:

Value

Label

Frequency

Text

2.

Cities with population of 200000 or more

1024

4.

Town/village

516

1.

Largest cities

900

3.

Cities with population of less than 200000

1780

Summary Statistics: StDev 0.9587003765983187; Valid 4220.0; Mean 2.4530805687203783; Min. 1.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:q5eykqJTd+0rYilp518xBg==

Is R Female

f5791227 Location:

Value

Label

Frequency

Text

0.

No

1986

1.

Yes

2234

Summary Statistics: StDev 0.4991949902870108; Mean 0.5293838862559245; Valid 4220.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:npJb+KeEY+PN/EYo8GiniA==

Age

f5791227 Location:

Value

Label

Frequency

Text

3.

40-49 years

685

4.

50-59 years

841

6.

70-79 years

588

7.

80-89 years

172

5.

60-69 years

833

1.

20-29 years

410

2.

30-39 years

691

Summary Statistics: Min. 1.0; Max. 7.0; Mean 3.817061611374425; Valid 4220.0; StDev 1.6674719084687353

Variable Format: numeric

Notes: UNF:6:MuUq/TfcWJswLTqEoCbaAQ==

Form of Self-administrated Questionnaire

f5791227 Location:

Value

Label

Frequency

Text

1.

Form A

2060

2.

Form B

2160

Summary Statistics: Valid 4220.0; Mean 1.5118483412322175; Max. 2.0; Min. 1.0; StDev 0.4999188326956737

Variable Format: numeric

Notes: UNF:6:yQAVM+uCqfurquZUjCkH5w==

Employed?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

2671

0.

No

1549

Summary Statistics: Max. 1.0; Mean 0.6329383886255978; Valid 4220.0; Min. 0.0; StDev 0.48206063079379863;

Variable Format: numeric

Notes: UNF:6:l7TyX5fm0mvbSrcoSOsh/g==

Work Arrangement

f5791227 Location:

Value

Label

Frequency

Text

4.

Dispatched worker from temporary personnel agency

56

6.

Family worker

124

5.

Self-employed

316

9.

No answer

0

3.

Temporary worker

618

2.

Regular employee

1389

8.

Not applicable

1549

1.

Executive of a company or a corporation

166

7.

Don't know

2

Summary Statistics: Valid 4220.0; Max. 8.0; Min. 1.0; StDev 2.7249432339275863; Mean 4.680568720379151

Variable Format: numeric

Notes: UNF:6:NafAlGFM9py6GbSEBu3Sbw==

Job Title

f5791227 Location:

Value

Label

Frequency

Text

7.

Don't know

6

5.

Department Head, General Manager

66

2.

Group leader, Foreman

117

9.

No answer

11

6.

Other managerial post

12

1.

No managerial post

864

3.

Sub-section Head

154

8.

Not applicable

2831

4.

Section Head, Manager

159

Summary Statistics: Mean 6.015876777251207; StDev 2.960910550963938; Valid 4220.0; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:BBqB0Xn/mzdUNWGs4ivSwA==

Category of Establishment

f5791227 Location:

Value

Label

Frequency

Text

3.

Branch establishment

785

8.

Not applicable

1549

4.

Headquarters or main establishment

367

5.

Don't know

60

2.

Independent establishment

1189

1.

Government agency

233

9.

No answer

37

Summary Statistics: Valid 4220.0; Min. 1.0; StDev 2.7467525500226824; Mean 4.611137440758303; Max. 9.0

Variable Format: numeric

Notes: UNF:6:rJgcgvH0bXr9L7PqdYf5Cg==

Industry

f5791227 Location:

Value

Label

Frequency

Text

40.

Mining

2

20.

Forestry

4

30.

Fishery

16

100.

Financial institutions, insurance

65

160.

Legal and accounting services

27

140.

Medical and welfare services

294

91.

Wholesale trade

96

120.

Broadcasting, publishing, advertising, film production

26

70.

Electricity, gas, steam supply, water works

25

180.

Public administration

99

130.

Information and communication services

76

60.

Manufacturing

540

50.

Construction

178

190.

Industries not elsewhere classified

14

150.

Educational and research services

123

110.

Real estate

38

92.

Retail trade

323

998.

Not applicable

0

999.

No answer

0

93.

Restaurants

111

170.

Other services

337

80.

Transportation

136

10.

Agriculture

127

Summary Statistics: Max. 190.0; Mean 101.61648475724492; Min. 10.0; StDev 47.16649006847313; Valid 2657.0;

Variable Format: numeric

Notes: UNF:6:JKi1mI2tHKlrAvvoy196Jw==

Occupation

f5791227 Location:

Value

Label

Frequency

Text

528.

Authors and writers

0

507.

Other engineers and technicians

5

525.

Teachers for the blind, the deaf, and/or the handicapped

4

704.

Manufacturing workers (not further specified)

8

505.

Agricultural and forestry engineers

0

556.

Shipping/sorting clerks

11

679.

Plasterers, scaffolding builders

10

587.

Tour guides

0

583.

Waiters/waitresses

44

567.

Wholesale shop owners

6

641.

Watch assemblers/repairers

1

601.

Livestock farming workers

9

561.

Bill collectors

5

535.

Professional athletes (excluding private sports instructors)

1

622.

Other quarry workers

0

554.

General affairs/planning clerks

346

599.

Agricultural/sericultural workers

108

541.

Business management consultants

5

595.

Firefighters

6

645.

Miso/soy sauce/canned food/dairy product makers, food makers

54

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

610.

Aircraft pilots, flight navigators, flight engineers

1

559.

Accounting clerks

89

531.

Designers

4

685.

Warehouse keepers, dockers

20

673.

Boiler technicians, boilermen

4

590.

Boarding house/apartment/residence/dormitory superintendents

15

702.

Carpenters

26

533.

Musicians (excluding private music instructors)

2

551.

Station masters

0

576.

Pawnshop owners/clerks

0

536.

Veterinarians

1

666.

Seal carvers

0

617.

Telephone operators

2

633.

General mechanical equipment assemblers/repairers

56

527.

Religious professionals

7

529.

Journalists/reporters, editors

7

654.

Cabinet makers, furniture makers, joiners

9

651.

Tailors (including kimono tailors)

5

573.

Door-to-door sales (excluding insurance and real estate)

113

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

5

545.

Senior government officials

5

671.

Projectionists

0

574.

Insurance agents/door-to-door insurance sales persons

17

516.

Other health care professionals

37

680.

Bricklayers, pipe layers

10

503.

Mechanical, electrical and chemical engineers

36

508.

Medical doctors (physicians)

13

678.

Construction work contractors

8

629.

Chemical product makers

14

510.

Pharmacists

8

632.

Metal soldering workers

7

672.

Other technical workers/production process workers

30

605.

Fishing boat captains/navigators/engine drivers

1

684.

Work site foremen, other construction workers

16

618.

Mail carriers, telegraph deliverers

7

519.

Certified public accountants, tax accountants

3

705.

Company employees (not further specified)

0

647.

Alcoholic beverage makers

1

511.

Midwives

1

530.

Sculptors, artistic painters, industrial artists

3

661.

Painters, drawers, signboard makers

15

562.

Other outside-duty clerks

4

544.

Other professional/technical occupations

9

603.

Other agricultural and forestry workers

0

677.

Electricity/telephone construction workers

14

636.

Railway car assemblers/repairers

1

581.

Cooks

67

687.

Garbage collectors

45

624.

Stone masons

0

635.

Automobile assemblers/automobile mechanics

35

512.

Public health nurses

1

606.

Train drivers/locomotive drivers

3

615.

Radio operators

0

627.

Pig iron/steel makers, smelters

5

571.

Recyclable resource wholesalers/collectors

1

517.

Judges, public prosecutors, lawyers

0

526.

Other educational professionals

0

634.

Electric machine and instrument assemblers/repairers

64

504.

Architectural and civil engineers

21

676.

Power station/substation workers

1

563.

Transportation clerks

4

547.

Local parliament members

1

521.

Elementary school teachers

24

986.

No occupation

0

660.

Shoe makers/repairers, leather/leather goods makers

4

682.

Building construction laborers

24

649.

Textile and weaving machine operators

3

999.

No answer

0

662.

Lacquer painters, gold lacquer painters

1

522.

Junior high school teachers

9

652.

Sewers, cutters

14

552.

Postmasters, telegraph/telephone office chiefs

1

623.

Potters, pottery painters

1

538.

Social welfare service professionals

14

564.

Stenographers, typists, data-entry clerks

4

506.

Information technology engineers

37

614.

Other transportation workers

5

674.

Crane/construction machine operators

6

558.

Other office clerks

27

648.

Silk mill operators and spinners

3

553.

Other managerial occupations

11

585.

Club hosts/club hostesses

3

594.

Police officers, Coast Guards and railroad security officers

7

653.

Sawmill operators, woodworkers

8

593.

Self Defense Force officials

2

539.

Private instructors

25

548.

Chief executives

27

513.

Dieticians

2

550.

Managers in companies/organizations

29

543.

Librarians

1

572.

Merchandise intermediary occupations

1

575.

Real estate agents/traders

13

656.

Bucket makers, wood/bamboo/leaf/vine product makers

3

621.

Stone cutters

1

655.

Shipwrights

0

681.

Tatami mat makers/layers

2

540.

Real estate appraisers

0

577.

Other sales and sales-related workers

13

637.

Ship riggers (not elsewhere classified)

0

701.

Supermarket and other shop cashiers

9

663.

Mounters, liners

4

596.

Prison guards, gatekeepers

10

578.

Housemaids, housekeeping service workers

55

659.

Rubber/plastic goods makers

12

691.

Nominal company executives

0

703.

Teachers (not further specified)

10

609.

Ship engine drivers (excluding fishing boat)

0

669.

Toy makers

1

612.

Railway workers

0

592.

Other service workers

25

597.

Other protective service workers

4

644.

Bakers, cake/noodle/tofu makers

17

689.

Occupations not elsewhere classified

4

602.

Forestry workers

2

608.

Ships captains/navigators (not of fishing boat), boat pilots

1

524.

University professors

9

667.

Umbrella makers

0

664.

Japanese-style umbrella/lantern/fan makers

0

589.

Inn owners/managers, hotel managers

2

658.

Printers, book binders

15

657.

Paper/paper device/pulp/paper goods makers

7

534.

Actors, dancers (excluding private instructors)

3

690.

Landowners (before the Agrarian Reform)

0

560.

Postal/communication clerks

8

686.

Transportation laborers

25

570.

Peddlers, hawkers, street stall keepers

2

549.

Senior officials of special-interest organizations

1

640.

Other transportation vehicle assemblers/maintenance workers

2

555.

Receptionists/information clerks

27

683.

Railway track layers

0

619.

Other communication workers

0

600.

Gardeners, landscape gardeners

13

569.

Shop salespersons

131

537.

Nursery school teachers

25

586.

Entertainment facility service workers

10

668.

Bag makers

1

613.

Sailors

1

588.

Other personal service workers

0

523.

High school teachers

13

646.

Tobacco makers

1

638.

Aircraft assemblers/aircraft engine mechanics

2

630.

Metal machine tool makers, platers, metal processors

23

557.

Sales clerks

47

579.

Barbers, hairdressers, beauticians

30

626.

Other ceramic/earthen/stoneware makers

0

670.

Drafters, technical drawers

6

611.

Conductors

1

620.

Miners, coal miners

0

501.

Researchers in natural science

2

546.

Diet members

0

639.

Bicycle assemblers/maintenance workers

0

580.

Launderers

5

520.

Kindergarten teachers

5

565.

Computer and other similar equipment operators

7

616.

Wire operators

0

591.

Fashion models

0

542.

Radio and television announcers

0

642.

Optical machine/precision machine assemblers/repairers

5

598.

(pre-war) Professional military service persons

0

604.

Fishery workers

13

584.

Flight attendants

0

518.

Other legal professionals

2

502.

Researchers in humanities

0

650.

Bleachers, dyers

3

643.

Grain refining/flour milling machine operators

0

675.

Other stationary engine operators

5

625.

Glass/cement goods makers

1

628.

Founders, casters, metal material makers

1

688.

Miscellaneous laborers

22

631.

Iron workers, sheet metal makers

8

568.

Restaurant owners

18

607.

Automobile drivers

78

514.

Nurses

61

509.

Dentists

3

582.

Bartenders

0

998.

Not applicable

0

566.

Retail shop owners

42

532.

Photographers

0

Summary Statistics: Min. 501.0; Max. 704.0; Valid 2662.0; Mean 587.2081141998498; StDev 51.436313678180525

Variable Format: numeric

Notes: UNF:6:Jk4KQ92c9tIAFEBXFaT8tA==

How many people work at employer?

f5791227 Location:

Value

Label

Frequency

Text

9.

1,000-1,999

109

4.

10-29

354

7.

300-499

102

11.

10,000 or over

123

3.

5-9

215

99.

No answer

0

5.

30-99

345

6.

100-299

287

8.

500-999

117

1.

1

130

12.

Government agency

0

10.

2,000-9,999

122

13.

Don't know

0

2.

2-4

386

88.

Not applicable

0

Summary Statistics: StDev 2.7828231028841777; Valid 2290.0; Min. 1.0; Mean 5.0716157205240195; Max. 11.0

Variable Format: numeric

Notes: UNF:6:IYO56VDlR+qDcnuEG/Gxow==

Joining Labor Union

f5791227 Location:

Value

Label

Frequency

Text

2.

I am a member of a labor union outside of my workplace.

49

8.

Not applicable

1549

9.

No answer

17

3.

I am not a member of any labor union.

2095

1.

I am a member of a labor union at my workplace.

460

4.

Don't know

50

Summary Statistics: Max. 9.0; Min. 1.0; StDev 2.6622402300209167; Mean 4.641706161137503; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:HFEQar8eDkfOb/DEbGhFdQ==

Satisfaction with Your Job

f5791227 Location:

Value

Label

Frequency

Text

9.

No answer

2

6.

Don't know

3

2.

Somewhat satisfied

1058

4.

Somewhat dissatisfied

190

5.

Dissatisfied

77

3.

Neither satisfied nor dissatisfied

645

8.

Not applicable

1549

1.

Satisfied

696

Summary Statistics: Valid 4220.0; Min. 1.0; Max. 9.0; StDev 2.9037097175553335; Mean 4.341232227488145

Variable Format: numeric

Notes: UNF:6:YPpyYOw2IfLEDTN0Pv8Psg==

Possibility of Loosing Your Job

f5791227 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

2.

Fairly likely

313

5.

Don't know

160

4.

Not at all likely

1325

1.

Very likely

70

9.

No answer

2

3.

Not too likely

801

Summary Statistics: Min. 1.0; Max. 9.0; StDev 2.3030430315236723; Mean 5.120616113744065; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:dpgkzryAYvMK1Z+2BxFB1g==

Does employer import goods?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2179

1.

Yes

458

Summary Statistics: Max. 1.0; StDev 0.3789078355432392; Mean 0.17368221463784608; Valid 2637.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:DKDcqQga5Br2OC86Hlj3EQ==

Does employer export goods?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2354

1.

Yes

283

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.10731892301858165; StDev 0.3095769941724425; Valid 2637.0;

Variable Format: numeric

Notes: UNF:6:x6ev5m7+JfFoslli1HIoQw==

Does employer produce goods overseas?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

177

0.

No

2460

Summary Statistics: StDev 0.25028015707934415; Min. 0.0; Valid 2637.0; Max. 1.0; Mean 0.06712172923777018

Variable Format: numeric

Notes: UNF:6:enRa+e6Y598aGBNLKEnxTw==

Employer not part of global supply chain

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1971

0.

No

666

Summary Statistics: Valid 2637.0; StDev 0.4345629123920186; Min. 0.0; Mean 0.7474402730375428; Max. 1.0

Variable Format: numeric

Notes: UNF:6:1yMHSHLaxqIrBXWeaCFfRw==

Last School Respondent Attended

f5791227 Location:

Value

Label

Frequency

Text

10.

College of technology

153

12.

University

767

13.

Graduate school

55

7.

University/Graduate school in the old system

11

3.

Junior high school/Girls' high school in the old system

122

8.

Junior high school

535

4.

Vocational school/Commerce school in the old system

24

99.

No answer

0

11.

2-year college

384

9.

High school

1776

1.

Ordinary elementary school in the old system

55

2.

Higher elementary school in the old system

100

14.

Don't know

0

6.

Higher school or vocational school in the old system

24

5.

Normal school in the old system

3

Summary Statistics: Mean 9.201795959092054; Valid 4009.0; Max. 13.0; Min. 1.0; StDev 2.424701715768888

Variable Format: numeric

Notes: UNF:6:Dqk5YAeNvMQtB/PULUW25g==

Completion of the Last School

f5791227 Location:

Value

Label

Frequency

Text

0.

No

173

1.

Yes

4038

Summary Statistics: Valid 4211.0; Max. 1.0; Mean 0.9589171218237947; StDev 0.19850549815316823; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1bR5X58mjk1G6NuyBm+YnA==

Type of Residential Area

f5791227 Location:

Value

Label

Frequency

Text

3.

Old residential area from the pre-war period

1203

9.

No answer

0

6.

Other

86

2.

Area where a number of stores and offices are located

471

4.

New residential area after the war

1585

1.

Area where a number of factories are located

43

5.

Farming/fishing village

789

Summary Statistics: Min. 1.0; Max. 6.0; StDev 1.0021852330559795; Mean 3.6856595642805843; Valid 4177.0

Variable Format: numeric

Notes: UNF:6:VP2Nb6N4Y8hzHSYVKQZ84A==

Comparison of Household Income with Others at Age 15

f5791227 Location:

Value

Label

Frequency

Text

2.

Below average

1100

4.

Above average

643

3.

Average

1898

5.

Far above average

97

9.

No answer

0

1.

Far below average

408

Summary Statistics: Min. 1.0; Valid 4146.0; Mean 2.739749155812832; StDev 0.9165663804790071; Max. 5.0

Variable Format: numeric

Notes: UNF:6:C6eNapwCT7I0rql0Savqhg==

Class Rank in the Senior of Junior High School

f5791227 Location:

Value

Label

Frequency

Text

1.

Low

279

4.

Relatively high

982

3.

About in the middle

1692

2.

Relatively low

664

9.

No answer

0

5.

High

576

Summary Statistics: Valid 4193.0; StDev 1.0775771418748292; Min. 1.0; Max. 5.0; Mean 3.217505366086335;

Variable Format: numeric

Notes: UNF:6:2tBw2qBRJ/HBU+DRhxfZZw==

Agree with Government Redistribution

f5791227 Location:

Value

Label

Frequency

Text

4.

Somewhat Agree

1361

5.

Agree

1222

3.

Neither agree nor Disagree

1351

2.

Somewhat Disagree

198

1.

Strongly Disagree

69

Summary Statistics: Valid 4201.0; Max. 5.0; StDev 0.9584776154852525; Mean 3.825755772435135; Min. 1.0

Variable Format: numeric

Notes: UNF:6:b0CnJtKl2Jv6d6ZWIOAyGg==

Political Support

f5791227 Location:

Value

Label

Frequency

Text

5.

Social Democratic Party

54

8.

Don't know

320

9.

No answer

26

3.

New Komeito

159

7.

There is no particular party I support.

1904

6.

Other

8

4.

Japanese Communist Party

72

2.

Democratic Party of Japan

730

1.

Liberal Democratic Party

947

Summary Statistics: Mean 4.647393364928906; Min. 1.0; Max. 9.0; Valid 4220.0; StDev 2.7893289244942236;

Variable Format: numeric

Notes: UNF:6:GXbpG8eSGjOjj7y3c8uFkQ==

Emotional closeness to town or city of residence

f5791227 Location:

Value

Label

Frequency

Text

4.

Very close

615

1.

Not at all close

33

3.

Somewhat close

1301

2.

Not so close

207

Summary Statistics: Valid 2156.0; Min. 1.0; Max. 4.0; Mean 3.1586270871985165; StDev 0.6461556980802093

Variable Format: numeric

Notes: UNF:6:gwJ7WQAzjhWcSX94jvCUVQ==

Acceptance of Foreign Co-workers: China

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1341

0.

No

706

Summary Statistics: Min. 0.0; Valid 2047.0; Max. 1.0; Mean 0.6551050317537872; StDev 0.47545016607362056;

Variable Format: numeric

Notes: UNF:6:d5P5xEINtwTz4UbhVuZxlQ==

Acceptance of Foreign Co-workers: South Korea

f5791227 Location:

Value

Label

Frequency

Text

0.

No

612

1.

Yes

1431

Summary Statistics: Mean 0.7004405286343622; Min. 0.0; Max. 1.0; Valid 2043.0; StDev 0.45817720201334117

Variable Format: numeric

Notes: UNF:6:yXfkVmtWkVOt57DknxOIxg==

Acceptance of Foreign Co-workers: Taiwan

f5791227 Location:

Value

Label

Frequency

Text

0.

No

559

1.

Yes

1479

Summary Statistics: Max. 1.0; StDev 0.44626454745897165; Valid 2038.0; Mean 0.7257114818449456; Min. 0.0

Variable Format: numeric

Notes: UNF:6:5E3Mp9GxTjXPzJSx5LWRwA==

Acceptance of Foreign Co-workers: Southeast Asia

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1412

0.

No

619

Summary Statistics: Min. 0.0; StDev 0.46042584329736086; Mean 0.6952240275726251; Valid 2031.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:vMF2Vh9kMFFzoz7v9h7Knw==

Acceptance of Foreign Co-workers: Europe

f5791227 Location:

Value

Label

Frequency

Text

0.

No

520

1.

Yes

1516

Summary Statistics: Mean 0.7445972495088399; StDev 0.43619449358987417; Valid 2036.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:n9Scs9T6VzMZ4F5h6R0WuQ==

Acceptance of Foreign Co-workers: North America

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1528

0.

No

511

Summary Statistics: Mean 0.7493869543894061; Max. 1.0; Min. 0.0; StDev 0.43347237416288964; Valid 2039.0;

Variable Format: numeric

Notes: UNF:6:VqHVyU0zPSIc2EtThgA8SQ==

Acceptance of Foreign Neighbors: China

f5791227 Location:

Value

Label

Frequency

Text

0.

No

749

1.

Yes

1303

Summary Statistics: Valid 2052.0; Mean 0.6349902534113079; Min. 0.0; Max. 1.0; StDev 0.48155024516428935;

Variable Format: numeric

Notes: UNF:6:HvFS47AVueUIdF3piez8zw==

Acceptance of Foreign Neighbors: South Korea

f5791227 Location:

Value

Label

Frequency

Text

0.

No

641

1.

Yes

1412

Summary Statistics: Max. 1.0; StDev 0.46351437790417843; Min. 0.0; Mean 0.6877739892839738; Valid 2053.0;

Variable Format: numeric

Notes: UNF:6:WUGSp/QDDEST3PmUO0LriQ==

Acceptance of Foreign Neighbors: Taiwan

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1450

0.

No

600

Summary Statistics: Mean 0.7073170731707296; StDev 0.4551051149382612; Max. 1.0; Min. 0.0; Valid 2050.0

Variable Format: numeric

Notes: UNF:6:nMuaQXv/Jkr0yU/TAQjM+w==

Acceptance of Foreign Neighbors: Southeast Asia

f5791227 Location:

Value

Label

Frequency

Text

0.

No

677

1.

Yes

1368

Summary Statistics: Max. 1.0; Valid 2045.0; StDev 0.4707065927749448; Min. 0.0; Mean 0.6689486552567258;

Variable Format: numeric

Notes: UNF:6:nF2jYo5buV7AFhQtiFy7mg==

Acceptance of Foreign Neighbors: Europe

f5791227 Location:

Value

Label

Frequency

Text

0.

No

520

1.

Yes

1528

Summary Statistics: StDev 0.43535090485333716; Max. 1.0; Mean 0.74609375; Valid 2048.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:zlbGoXuFlemwdRRtPUKviw==

Acceptance of Foreign Neighbors: North america

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1542

0.

No

510

Summary Statistics: Valid 2052.0; StDev 0.43227066729938335; Max. 1.0; Mean 0.7514619883040936; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:A8IrvP6WHIohLJ6EYAZrGg==

Acceptance of Foreign Relatives: China

f5791227 Location:

Value

Label

Frequency

Text

0.

No

893

1.

Yes

1146

Summary Statistics: Min. 0.0; Valid 2039.0; StDev 0.4962577881479528; Mean 0.562040215792056; Max. 1.0

Variable Format: numeric

Notes: UNF:6:rMF6fHkacJAI6UMEjA43Jw==

Acceptance of Foreign Relatives: South Korea

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1219

0.

No

824

Summary Statistics: Mean 0.596671561429272; Max. 1.0; StDev 0.490685705533541; Min. 0.0; Valid 2043.0;

Variable Format: numeric

Notes: UNF:6:C4cFtrVTDwB0w1mm3dVMEA==

Acceptance of Foreign Relatives: Taiwan

f5791227 Location:

Value

Label

Frequency

Text

0.

No

778

1.

Yes

1262

Summary Statistics: Min. 0.0; Valid 2040.0; StDev 0.4858428092934914; Max. 1.0; Mean 0.6186274509803931

Variable Format: numeric

Notes: UNF:6:8QMxI5x5PBxy6UUjhDNhNA==

Acceptance of Foreign Relatives: Southeast Asia

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1180

0.

No

855

Summary Statistics: Valid 2035.0; Min. 0.0; Max. 1.0; Mean 0.5798525798525817; StDev 0.4937036976653871

Variable Format: numeric

Notes: UNF:6:FFLCqsnBkHJaFtBXvyX/wg==

Acceptance of Foreign Relatives: Europe

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1382

0.

No

658

Summary Statistics: StDev 0.4675663753936377; Min. 0.0; Valid 2040.0; Max. 1.0; Mean 0.6774509803921562

Variable Format: numeric

Notes: UNF:6:yDzkr0+B+3zlb6dvW3Qqew==

Acceptance of Foreign Relatives: North America

f5791227 Location:

Value

Label

Frequency

Text

0.

No

642

1.

Yes

1399

Summary Statistics: StDev 0.46445087479345243; Valid 2041.0; Min. 0.0; Mean 0.6854483096521319; Max. 1.0

Variable Format: numeric

Notes: UNF:6:yklJ5wHNGfCnb6hVtWVjCA==

Views on the Restriction of Foreign Products

f5791227 Location:

Value

Label

Frequency

Text

1.

Strongly agree

57

8.

Not applicable

2060

3.

Somewhat agree

474

2.

Agree

239

5.

Somewhat disagree

243

7.

Strongly disagree

35

6.

Disagree

113

9.

No answer

9

4.

Neither agree nor disagree

990

Summary Statistics: Min. 1.0; StDev 2.281273427260719; Mean 5.833175355450191; Max. 9.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:X1u3mUCFM5gBylHsjqhd7g==

Should follow national interest even if it leads to conflicts with other nations

f5791227 Location:

Value

Label

Frequency

Text

7.

Strongly Agree

65

5.

Somewhat Agree

571

6.

Agree

275

2.

Disagree

86

4.

Neither Agree nor Disagree

940

3.

Somewhat Disagree

190

1.

Strongly Disagree

22

Summary Statistics: Min. 1.0; StDev 1.1046424552884282; Max. 7.0; Mean 4.413215449046067; Valid 2149.0

Variable Format: numeric

Notes: UNF:6:RjuBsZi+Nfjdwc4nhqYhPA==

Views on Globalization: Job Opportunity for Workers in Japan

f5791227 Location:

Value

Label

Frequency

Text

1.

Very good

47

7.

Very bad

42

88.

Not applicable

2060

2.

Good

256

8.

Can't choose

199

3.

Somewhat good

396

6.

Bad

157

5.

Somewhat bad

324

4.

Neither good nor bad

716

99.

No answer

23

Summary Statistics: StDev 41.96809129225644; Max. 99.0; Mean 45.64360189573554; Valid 4220.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:hhWquH6VqxqolvppxMmqPQ==

Does R work for foreign capital company?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2032

1.

Yes

24

Summary Statistics: Valid 2056.0; StDev 0.10743604300799392; Mean 0.011673151750972798; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:AXy+4I5gMrZ8PlZYwmO4pw==

Weight

f5791227 Location:

Summary Statistics: Valid 4220.0; Max. 36734.0; StDev 5178.4471978548745; Mean 24070.13033175356; Min. 18823.0

Variable Format: numeric

Notes: UNF:6:Jn3KppLByVlBksYT8DizZg==

Consolidated Job Type

f5791227 Location:

Summary Statistics: Max. 6.0; Valid 2669.0; Mean 2.7523417010116162; StDev 1.2732541423779944; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:sWA5tvaeI/vS+/pVR++NkQ==

RECODE of job_type

f5791227 Location:

Value

Label

Frequency

Text

4.

Self-Employed or Family Worker

440

2.

Regular Employee

1389

3.

Temporary Worker

674

1.

Executive

166

Summary Statistics: Min. 1.0; Max. 4.0; Mean 2.520044960659424; Valid 2669.0; StDev 0.8390259922487052

Variable Format: numeric

Notes: UNF:6:4nEu3gL0C1pSVLUve7a6Lw==

Is R a Temp worker?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

674

0.

No

1995

Summary Statistics: Valid 2669.0; Min. 0.0; Mean 0.2525290370925446; Max. 1.0; StDev 0.43454444127055386;

Variable Format: numeric

Notes: UNF:6:wvCPl57i1XQWtTDpz+kxaQ==

Level of management responsibility

f5791227 Location:

Value

Label

Frequency

Text

5.

Department Head, General Manager

66

4.

Section Head, Manager

159

2.

Group leader, Foreman

117

3.

Sub-section head

154

1.

No managerial post

1538

6.

Executive

166

Summary Statistics: Max. 6.0; Mean 1.9072727272727281; StDev 1.5899702172246644; Valid 2200.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:VFd1Ec1VI6roQf3jfuNzsA==

RECODE of mgmt_resp (Level of management responsibility)

f5791227 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2516.0; Mean 0.21780604133545306; StDev 0.41283690469723966

Variable Format: numeric

Notes: UNF:6:IIt/gMjyz2MqdG7gnoUe7A==

How satisfied are you with your job?

f5791227 Location:

Value

Label

Frequency

Text

4.

Somewhat satisfied

1058

5.

Satisfied

696

1.

Dissatisfied

77

2.

Somewhat dissatisfied

190

3.

Neither satisfied nor dissatisfied

645

Summary Statistics: Mean 3.789947486871719; Min. 1.0; Max. 5.0; StDev 1.0021310487617745; Valid 2666.0;

Variable Format: numeric

Notes: UNF:6:PF/ApckKAzKJgEaAGudpmg==

Workplace type

f5791227 Location:

Value

Label

Frequency

Text

3.

Branch establishment

785

2.

Independent establishment

1189

4.

Headquarters or main establishment

367

1.

Government agency

233

Summary Statistics: Max. 4.0; Mean 2.499611499611499; Valid 2574.0; Min. 1.0; StDev 0.8464506291028384

Variable Format: numeric

Notes: UNF:6:uQYSXZkeQhXHGmjhEx/80A==

Employed at headquarters of employer

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

1556

0.

No

785

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2341.0; Mean 0.6646732165741137; StDev 0.4722054433970399

Variable Format: numeric

Notes: UNF:6:bHrGdKG837Rgle7WsQGGUw==

Does R work in manufacturing?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2117

1.

Yes

540

Summary Statistics: Valid 2657.0; StDev 0.40248295822583646; Max. 1.0; Min. 0.0; Mean 0.20323673315769697

Variable Format: numeric

Notes: UNF:6:ptA1o9lYMGSQfTmJQtOmIQ==

RECODE of industry (Industry)

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

149

0.

No

2508

Summary Statistics: Mean 0.056078283778697856; Max. 1.0; Valid 2657.0; StDev 0.23011614383279005; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:vLtZm1EPNFh4lyejrL9YqQ==

Does R work in Comparative disadvantage manufacturing?

f5791227 Location:

Summary Statistics: Valid 2657.0; Mean 0.05231464057207421; Max. 1.0; Min. 0.0; StDev 0.22270268364208495

Variable Format: numeric

Notes: UNF:6:cMxGZY/ac0HAsNsNuhQCjw==

manu_disadv

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

401

0.

No

2256

Summary Statistics: StDev 0.3580403074718528; Mean 0.1509220925856228; Valid 2657.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:TaWXV/ttS7bYjxN9xu87nQ==

Does R work in Comparative Disadvantage Sector?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2107

1.

Yes

550

Summary Statistics: Valid 2657.0; Mean 0.207000376364321; StDev 0.40523206249351595; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:onNCy4utTxufDOjuRgAn9A==

Union Member?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2145

1.

Yes

509

Summary Statistics: Mean 0.19178598342125072; Valid 2654.0; Max. 1.0; Min. 0.0; StDev 0.3937798191407467

Variable Format: numeric

Notes: UNF:6:qdUU3nvPWxpl7LuXpBt86Q==

Is R a college/university graduate?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

833

0.

No

3176

Summary Statistics: StDev 0.40577086710298044; Mean 0.2077824893988531; Valid 4009.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:yW7gneMi9uTiuezvXl0iRg==

Including CoT in college graduates

f5791227 Location:

Summary Statistics: Mean 0.24594662010476395; StDev 0.43070076833052895; Min. 0.0; Max. 1.0; Valid 4009.0

Variable Format: numeric

Notes: UNF:6:gal2sHxC5hQ3ZkxgOdTbkg==

RECODE of emp_size (How many people work at employer?)

f5791227 Location:

Summary Statistics: Valid 2290.0; Min. 0.0; Mean 0.15458515283842797; StDev 0.36158771763249786; Max. 1.0

Variable Format: numeric

Notes: UNF:6:MXrUWdAHrik60vzGMLB+Uw==

Does employer have >299 employees?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

1717

1.

Yes

573

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.25021834061135323; Valid 2290.0; StDev 0.43323329027791463

Variable Format: numeric

Notes: UNF:6:1/E5YVxP060TlKRE4tuaIQ==

Does employer both import and export goods?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

133

0.

No

2504

Summary Statistics: StDev 0.2188846039223974; Valid 2637.0; Max. 1.0; Min. 0.0; Mean 0.05043610163064076

Variable Format: numeric

Notes: UNF:6:sO44510VTU3b0Nc9C4/p2Q==

Employer is part of global supply chain

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

677

0.

No

1961

Summary Statistics: Min. 0.0; Valid 2638.0; Max. 1.0; Mean 0.2566338134950722; StDev 0.43685837972705016

Variable Format: numeric

Notes: UNF:6:pnyJpidrK+X4h8LYkSc3ZQ==

emp_glob_ord

f5791227 Location:

Summary Statistics: Max. 2.0; Mean 0.5505689001264229; StDev 0.7021492657487016; Valid 1582.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:nsnerJALoj9NVdUehhUeiA==

Probability of losing job in next 12 months

f5791227 Location:

Value

Label

Frequency

Text

1.

Not at all likely

1325

3.

Fairly likely

313

4.

Very likely

70

2.

Not too likely

801

Summary Statistics: Mean 1.652451175767238; StDev 0.8024427978910352; Min. 1.0; Max. 4.0; Valid 2509.0

Variable Format: numeric

Notes: UNF:6:TA0lKNoB8OVl2d9ZlMg+ew==

pid

f5791227 Location:

Summary Statistics: Max. 7.0; Valid 3874.0; Min. 1.0; Mean 4.341249354672166; StDev 2.7066236544441975

Variable Format: numeric

Notes: UNF:6:uY4qK9R6HTLomnd/5rpLzw==

Does R support DPJ?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

3144

1.

Yes

730

Summary Statistics: Min. 0.0; Valid 3874.0; Mean 0.18843572534847725; Max. 1.0; StDev 0.39111019975724737;

Variable Format: numeric

Notes: UNF:6:F8gLwnf7syC5q3U0QzcLMg==

Does R support leftist parties?

f5791227 Location:

Value

Label

Frequency

Text

1.

Yes

126

0.

No

3748

Summary Statistics: StDev 0.17741139344103435; Valid 3874.0; Max. 1.0; Min. 0.0; Mean 0.03252452245740831

Variable Format: numeric

Notes: UNF:6:dFJUWrcTyI1JQpvVdWANBw==

Does R support LDP?

f5791227 Location:

Value

Label

Frequency

Text

0.

No

2927

1.

Yes

947

Summary Statistics: Valid 3874.0; Max. 1.0; StDev 0.4298162136391196; Mean 0.24445018069179106; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1Y+DDzzejh9iU7apSI23fQ==

Japan should limit imports

f5791227 Location:

Value

Label

Frequency

Text

6.

Agree

239

5.

Somewhat Agree

474

1.

Strongly Disagree

35

7.

Strongly Agree

57

3.

Somewhat Disagree

243

4.

Neither Agree nor Disagree

990

2.

Disagree

113

Summary Statistics: Valid 2151.0; StDev 1.1438162686026039; Max. 7.0; Min. 1.0; Mean 4.255230125523012

Variable Format: numeric

Notes: UNF:6:Lpun9dL2i9Qv8bDEsjIRHQ==

Globalization good for Japanese workers

f5791227 Location:

Value

Label

Frequency

Text

6.

Agree

256

4.

Neither Agree nor Disagree

716

5.

Somewhat Agree

396

3.

Somewhat Disagree

324

7.

Strongly Agree

47

1.

Strongly Disagree

42

2.

Disagree

157

Summary Statistics: Valid 1938.0; StDev 1.2714018611200502; Max. 7.0; Mean 4.147058823529411; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:9XEYX78hFIFGjljjrkbDqQ==

RECODE of xeno_coworkers_kr (Acceptance of Foreign Co-workers: South Korea)

f5791227 Location:

Summary Statistics: Min. 0.0; Mean 0.48412322274881503; StDev 0.49980708672953705; Max. 1.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:AXbp3HYpXRPoJrJXiSY1mA==

RECODE of xeno_coworkers_tw (Acceptance of Foreign Co-workers: Taiwan)

f5791227 Location:

Summary Statistics: Mean 0.48293838862558724; Valid 4220.0; Min. 0.0; StDev 0.49976803436000433; Max. 1.0

Variable Format: numeric

Notes: UNF:6:BIEeZ/pBQCaU01YWHvR3ow==

RECODE of xeno_coworkers_cn (Acceptance of Foreign Co-workers: China)

f5791227 Location:

Summary Statistics: Valid 4220.0; Mean 0.4850710900473935; Min. 0.0; StDev 0.49983630377310245; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:vfkZBcOM3Lxgqdf3HBeABg==

RECODE of xeno_coworkers_sa (Acceptance of Foreign Co-workers: Southeast Asia)

f5791227 Location:

Summary Statistics: Max. 1.0; Mean 0.48127962085307957; Valid 4220.0; Min. 0.0; StDev 0.49970863519363423

Variable Format: numeric

Notes: UNF:6:iyXJRQpeCr+GByp+qZsyng==

RECODE of xeno_coworkers_eu (Acceptance of Foreign Co-workers: Europe)

f5791227 Location:

Summary Statistics: Max. 1.0; Mean 0.4824644549763108; StDev 0.49975162583535077; Min. 0.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:HiNqJzW8/7quKmxefeFj3Q==

RECODE of xeno_coworkers_na (Acceptance of Foreign Co-workers: North America)

f5791227 Location:

Summary Statistics: StDev 0.49977606984509654; Valid 4220.0; Mean 0.4831753554502366; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:N8crk8cTo1iw+RNMpuJ3lw==

xeno_coworkers_nonmiss

f5791227 Location:

Summary Statistics: Mean 2.899052132701442; StDev 2.990979414729301; Min. 0.0; Max. 6.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:J6WpTsnM0RLrPHpICVXbRw==

xeno_coworkers_tot

f5791227 Location:

Summary Statistics: Min. 0.0; Max. 5.0; Mean 1.745497630331772; Valid 4220.0; StDev 2.297739671452415

Variable Format: numeric

Notes: UNF:6:+GGpUO/jOGRaWEoQgPa2MA==

xeno_coworkers_avg

f5791227 Location:

Summary Statistics: Valid 2053.0; Max. 1.0; Min. 0.0; Mean 0.6016804566629569; StDev 0.34258918477730793

Variable Format: numeric

Notes: UNF:6:0JST1dllv7MikSQQJmasHA==

RECODE of xeno_neighbors_kr (Acceptance of Foreign Neighbors: South Korea)

f5791227 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 4220.0; StDev 0.49987675532195025; Mean 0.48649289099527404

Variable Format: numeric

Notes: UNF:6:ACqqjpM9GVFmNRDw70TprA==

RECODE of xeno_neighbors_tw (Acceptance of Foreign Neighbors: Taiwan)

f5791227 Location:

Summary Statistics: Max. 1.0; Valid 4220.0; Mean 0.48578199052132276; StDev 0.499857035600817; Min. 0.0

Variable Format: numeric

Notes: UNF:6:dmOfV/cWyvcEnZTwrwwARQ==

RECODE of xeno_neighbors_cn (Acceptance of Foreign Neighbors: China)

f5791227 Location:

Summary Statistics: Mean 0.4862559241706246; Min. 0.0; StDev 0.4998702945303205; Max. 1.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:Ai/4rMP7ZEVHCruZ3M78Vg==

RECODE of xeno_neighbors_sa (Acceptance of Foreign Neighbors: Southeast Asia)

f5791227 Location:

Summary Statistics: Valid 4220.0; Max. 1.0; Min. 0.0; StDev 0.49982192021123656; Mean 0.48459715639811696

Variable Format: numeric

Notes: UNF:6:VdVVbb17KU0roZHWWdqsgQ==

RECODE of xeno_neighbors_eu (Acceptance of Foreign Neighbors: Europe)

f5791227 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.48530805687204587; Valid 4220.0; StDev 0.4998433268462738;

Variable Format: numeric

Notes: UNF:6:SU4p43gviOrzY20v8I/LBw==

RECODE of xeno_neighbors_na (Acceptance of Foreign Neighbors: North america)

f5791227 Location:

Summary Statistics: Valid 4220.0; Max. 1.0; Mean 0.48625592417062435; Min. 0.0; StDev 0.4998702945303205

Variable Format: numeric

Notes: UNF:6:sK9ZyuV/r31IQvoFyAcLCA==

xeno_neighbors_nonmiss

f5791227 Location:

Summary Statistics: Mean 2.9146919431280485; Min. 0.0; StDev 2.992417101428026; Max. 6.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:vyj0vqEmaiF7RM313tsiBQ==

xeno_neighbors_tot

f5791227 Location:

Summary Statistics: Mean 1.7298578199052321; Valid 4220.0; Max. 5.0; Min. 0.0; StDev 2.2836350057965134

Variable Format: numeric

Notes: UNF:6:tdmABDrdNgYBXMuC4XESTw==

xeno_neighbors_avg

f5791227 Location:

Summary Statistics: Max. 1.0; Valid 2063.0; StDev 0.34424613030465545; Mean 0.594167060019667; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:lfTgYga9eMgNam/DydBqeA==

RECODE of xeno_marriage_kr (Acceptance of Foreign Relatives: South Korea)

f5791227 Location:

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.49980708672953683; Mean 0.48412322274881586; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:GORG4ApV+d6WjXzgK8JumA==

RECODE of xeno_marriage_tw (Acceptance of Foreign Relatives: Taiwan)

f5791227 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; StDev 0.4997839928192821; Max. 1.0; Mean 0.4834123222748881

Variable Format: numeric

Notes: UNF:6:fgZhEovl7X6Pdv8qiEIsGw==

RECODE of xeno_marriage_cn (Acceptance of Foreign Relatives: China)

f5791227 Location:

Summary Statistics: Max. 1.0; StDev 0.49977606984508205; Valid 4220.0; Mean 0.4831753554502375; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:lY1h9grJBRpowWGYy0MSCA==

RECODE of xeno_marriage_sa (Acceptance of Foreign Relatives: Southeast Asia)

f5791227 Location:

Summary Statistics: StDev 0.49974325278466936; Mean 0.482227488151659; Max. 1.0; Valid 4220.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:fVOF8w4mUFFEqsxX13PTNw==

RECODE of xeno_marriage_eu (Acceptance of Foreign Relatives: Europe)

f5791227 Location:

Summary Statistics: Min. 0.0; StDev 0.4997839928192821; Max. 1.0; Mean 0.4834123222748882; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:bWb7eCIN+GbPCDgyJ+cLoA==

RECODE of xeno_marriage_na (Acceptance of Foreign Relatives: North America)

f5791227 Location:

Summary Statistics: Mean 0.48364928909953836; StDev 0.49979180328791595; Min. 0.0; Max. 1.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:BUqIGORp3tLlodvWDFoRBQ==

xeno_marriage_nonmiss

f5791227 Location:

Summary Statistics: Max. 6.0; Min. 0.0; Mean 2.899999999999938; Valid 4220.0; StDev 2.99346685330715

Variable Format: numeric

Notes: UNF:6:lkSqTxqp1pHECItr1SjnfQ==

xeno_marriage_tot

f5791227 Location:

Summary Statistics: Mean 1.526540284360198; Valid 4220.0; Max. 5.0; Min. 0.0; StDev 2.2023725860666032

Variable Format: numeric

Notes: UNF:6:3gQyIA0zK4orBGMn7HKm0Q==

xeno_marriage_avg

f5791227 Location:

Summary Statistics: StDev 0.3702179098716716; Max. 1.0; Valid 2051.0; Min. 0.0; Mean 0.5273362496592613

Variable Format: numeric

Notes: UNF:6:1sROZmEMqPIytrvHyUtZbw==

cosmo_avg

f5791227 Location:

Summary Statistics: Valid 2015.0; Min. 0.0; Mean 0.5735428601928594; Max. 1.0; StDev 0.30753276899023047;

Variable Format: numeric

Notes: UNF:6:woDRMsHrZ1LOgdfKn4VIiA==

RECODE of industry (Industry)

f5791227 Location:

Value

Label

Frequency

Text

1.

Primary

149

3.

Manufacturing

540

4.

Government

99

2.

Services

1855

Summary Statistics: Min. 1.0; StDev 0.6008257280973458; Valid 2643.0; Mean 2.222852818766553; Max. 4.0

Variable Format: numeric

Notes: UNF:6:tJEtnRl235vgKwcFAcdgIQ==

manu_serv

f5791227 Location:

Summary Statistics: Valid 2395.0; Min. 1.0; Mean 1.7745302713987479; Max. 2.0; StDev 0.41797855956418595

Variable Format: numeric

Notes: UNF:6:drfz8XCStwwXuoSWASOSPA==

mean_trade

f5791227 Location:

Summary Statistics: Min. 3.9200000762939453; Valid 4220.0; StDev 0.19452339850621964; Max. 5.0714287757873535; Mean 4.255914768788487

Variable Format: numeric

Notes: UNF:6:Me5/ccmRRGv4go0Xt8CNMw==

total_emp_glob

f5791227 Location:

Summary Statistics: Max. 55.0; Min. 0.0; StDev 16.797425192936316; Mean 24.224881516587693; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:nXYIcr3PV7wcDGw64nnGEw==

total_emp

f5791227 Location:

Summary Statistics: Mean 91.87417061611376; StDev 54.553083464862304; Max. 188.0; Min. 6.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:SKU1VJuPQfWTDZb6rR1Tjw==

emp_glob_pct

f5791227 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; Mean 0.2522554720394419; Max. 0.4615384638309479; StDev 0.09023115343624831

Variable Format: numeric

Notes: UNF:6:ENJR/BYy8h3Z7BCEBjTo/g==

Occupation

f5791229 Location:

Summary Statistics: Min. 5.0; Mean 495.71654275092817; Valid 1076.0; Max. 975.0; StDev 200.34016315405663

Variable Format: numeric

Notes: UNF:6:slTORbw5nqrKwwB5U0sHwQ==

occ1990dd

f5791229 Location:

Summary Statistics: Valid 1076.0; Mean 379.7091078066937; Max. 889.0; Min. 8.0; StDev 200.66526089715683

Variable Format: numeric

Notes: UNF:6:hdAGvQFo+gB9W7fOc4JyaQ==

job_description

f5791229 Location:

Variable Format: character

Notes: UNF:6:71CMAJgv0eE/NfHMOrdhXw==

ISCO88 4 digit

f5791229 Location:

Summary Statistics: Valid 1354.0; Mean 5251.669867060528; StDev 2244.326051962381; Min. 110.0; Max. 9333.0

Variable Format: numeric

Notes: UNF:6:K1ctrg55YwxJaS0fkHx2Kg==

task_offshorability

f5791229 Location:

Summary Statistics: Max. 2.68599271774292; StDev 1.3969279578924048; Min. -3.154930591583252; Mean 0.42099282358423024; Valid 1076.0

Variable Format: numeric

Notes: UNF:6:v3g6Ic5oOdjPtbq1f+HaIA==

task_abstract

f5791229 Location:

Summary Statistics: StDev 1.7134735415879259; Valid 1076.0; Min. 0.04155910015106201; Mean 2.3677382447850395; Max. 9.002079963684082

Variable Format: numeric

Notes: UNF:6:5DOarNQmlSYGkM6cVKcJiw==

task_routine

f5791229 Location:

Summary Statistics: Mean 3.8300937476211305; Valid 1076.0; Min. 1.25; Max. 8.536230087280273; StDev 1.9199097980252995;

Variable Format: numeric

Notes: UNF:6:nwuFC0guP9cUnASca7qRNQ==

task_manual

f5791229 Location:

Summary Statistics: Mean 1.1101573031919125; StDev 1.24699058555942; Max. 6.167675495147705; Valid 1076.0; Min. 1.000000013351432E-10

Variable Format: numeric

Notes: UNF:6:daWSbSqm7+s9gAZ9Gmh2UQ==

count

f5791229 Location:

Summary Statistics: Max. 1.0; Min. 1.0; Mean 1.0; StDev 0.0; Valid 1076.0

Variable Format: numeric

Notes: UNF:6:n8cO+sAVleSZLe5T0YMkPg==

RTI

f5791229 Location:

Summary Statistics: Valid 1076.0; Mean 1.407742724568689; Min. -2.231675148010254; StDev 2.666597898181785; Max. 25.651355743408203

Variable Format: numeric

Notes: UNF:6:ocpNnwTMvwsk3atYdMFMLg==

pref_name

f5791229 Location:

Variable Format: character

Notes: UNF:6:t82igtpUpyoRS/mA5fPytw==

ind_code

f5791229 Location:

Summary Statistics: Max. 23.0; Mean 17.55207886840976; Min. 1.0; Valid 2333.0; StDev 6.364531138369261

Variable Format: numeric

Notes: UNF:6:q121/9CCFd5Frl65KOD+Jg==

ind_text

f5791229 Location:

Variable Format: character

Notes: UNF:6:J5Mc/sL7cWxpbIZsm/OD7g==

RTFPir

f5791229 Location:

Summary Statistics: StDev 0.16128659615775223; Min. -0.9710000157356262; Mean 0.032925605954591104; Valid 1156.0; Max. 0.777999997138977

Variable Format: numeric

Notes: UNF:6:WDNDjplH8Hs+5SWDR59gSw==

TFP

f5791229 Location:

Summary Statistics: Min. -0.14454182982444763; Mean 0.06068456796134747; StDev 0.09577097082651082; Valid 4220.0; Max. 0.3323889672756195

Variable Format: numeric

Notes: UNF:6:83lgdM7UXXbRk4lH+dVwUg==

labor_prod

f5791229 Location:

Summary Statistics: StDev 0.12160024799426668; Max. 0.39899998903274536; Valid 4220.0; Min. -0.164000004529953; Mean 0.09808412236586367

Variable Format: numeric

Notes: UNF:6:UGX2Q4F0aa3xwp+3zfxh6g==

Sequential Record Identifier (Added by ICPSR)

f5791229 Location:

Summary Statistics: Min. 1.0; StDev 1218.353397007617; Mean 2110.5; Max. 4220.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:bmsvZ5X+yr8NHbugWd2MfQ==

Regional Block

f5791229 Location:

Value

Label

Frequency

Text

6.

Kyusyu

508

5.

Cyugoku or Shikoku

427

2.

Kanto

1190

1.

Hokkaido or Tohoku

563

3.

Chubu

905

4.

Kinki

627

Summary Statistics: Max. 6.0; StDev 1.5576544798377012; Min. 1.0; Valid 4220.0; Mean 3.163270142180094

Variable Format: numeric

Notes: UNF:6:aqmdgbKNsQDZV8n/8KwKXw==

Prefecture Name

f5791229 Location:

Value

Label

Frequency

Text

47.

Okinawa

43

14.

Kanagawa

243

39.

Kochi

38

37.

Kagawa

38

27.

Osaka

246

23.

Aichi

233

4.

Miyagi

109

21.

Gifu

75

44.

Oita

63

25.

Shiga

55

11.

Saitama

215

24.

Mie

76

26.

Kyoto

90

19.

Yamanashi

35

31.

Tottori

21

30.

Wakayama

24

18.

Fukui

42

1.

Hokkaido

207

6.

Yamagata

47

35.

Yamaguchi

73

42.

Nagasaki

62

13.

Tokyo

282

34.

Hiroshima

86

15.

Niigata

119

9.

Tochigi

92

36.

Tokushima

38

40.

Fukuoka

182

38.

Ehime

44

5.

Akita

36

45.

Miyazaki

38

29.

Nara

52

32.

Shimane

9

2.

Aomori

62

33.

Okayama

80

8.

Ibaraki

102

12.

Chiba

189

22.

Shizuoka

157

16.

Toyama

46

43.

Kumamoto

39

20.

Nagano

78

28.

Hyogo

160

3.

Iwate

44

7.

Fukushima

58

17.

Ishikawa

44

41.

Saga

16

10.

Gunma

67

46.

Kagoshima

65

Summary Statistics: Max. 47.0; StDev 12.422362577936441; Mean 20.854265402843616; Valid 4220.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:fDUisCibfe3pZtFXryhKtQ==

Size of Municipality

f5791229 Location:

Value

Label

Frequency

Text

1.

Largest cities

900

2.

Cities with population of 200000 or more

1024

3.

Cities with population of less than 200000

1780

4.

Town/village

516

Summary Statistics: StDev 0.9587003765983187; Max. 4.0; Min. 1.0; Mean 2.4530805687203783; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:q5eykqJTd+0rYilp518xBg==

Is R Female

f5791229 Location:

Value

Label

Frequency

Text

0.

No

1986

1.

Yes

2234

Summary Statistics: Mean 0.5293838862559245; Valid 4220.0; StDev 0.4991949902870108; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:npJb+KeEY+PN/EYo8GiniA==

Age

f5791229 Location:

Value

Label

Frequency

Text

7.

80-89 years

172

1.

20-29 years

410

4.

50-59 years

841

2.

30-39 years

691

3.

40-49 years

685

6.

70-79 years

588

5.

60-69 years

833

Summary Statistics: StDev 1.6674719084687353; Valid 4220.0; Max. 7.0; Min. 1.0; Mean 3.817061611374425;

Variable Format: numeric

Notes: UNF:6:MuUq/TfcWJswLTqEoCbaAQ==

Form of Self-administrated Questionnaire

f5791229 Location:

Value

Label

Frequency

Text

2.

Form B

2160

1.

Form A

2060

Summary Statistics: Valid 4220.0; Mean 1.5118483412322175; StDev 0.4999188326956737; Max. 2.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:yQAVM+uCqfurquZUjCkH5w==

Employed?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

2671

0.

No

1549

Summary Statistics: Max. 1.0; StDev 0.48206063079379863; Mean 0.6329383886255978; Min. 0.0; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:l7TyX5fm0mvbSrcoSOsh/g==

Work Arrangement

f5791229 Location:

Value

Label

Frequency

Text

2.

Regular employee

1389

1.

Executive of a company or a corporation

166

6.

Family worker

124

7.

Don't know

2

3.

Temporary worker

618

9.

No answer

0

4.

Dispatched worker from temporary personnel agency

56

5.

Self-employed

316

8.

Not applicable

1549

Summary Statistics: Min. 1.0; Mean 4.680568720379151; Valid 4220.0; Max. 8.0; StDev 2.7249432339275863

Variable Format: numeric

Notes: UNF:6:NafAlGFM9py6GbSEBu3Sbw==

Job Title

f5791229 Location:

Value

Label

Frequency

Text

3.

Sub-section Head

154

4.

Section Head, Manager

159

7.

Don't know

6

9.

No answer

11

2.

Group leader, Foreman

117

1.

No managerial post

864

6.

Other managerial post

12

5.

Department Head, General Manager

66

8.

Not applicable

2831

Summary Statistics: Valid 4220.0; Max. 9.0; Mean 6.015876777251207; StDev 2.960910550963938; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:BBqB0Xn/mzdUNWGs4ivSwA==

Category of Establishment

f5791229 Location:

Value

Label

Frequency

Text

5.

Don't know

60

3.

Branch establishment

785

4.

Headquarters or main establishment

367

2.

Independent establishment

1189

9.

No answer

37

1.

Government agency

233

8.

Not applicable

1549

Summary Statistics: Mean 4.611137440758303; Min. 1.0; Max. 9.0; Valid 4220.0; StDev 2.7467525500226824;

Variable Format: numeric

Notes: UNF:6:rJgcgvH0bXr9L7PqdYf5Cg==

Industry

f5791229 Location:

Value

Label

Frequency

Text

120.

Broadcasting, publishing, advertising, film production

26

110.

Real estate

38

50.

Construction

178

999.

No answer

0

100.

Financial institutions, insurance

65

998.

Not applicable

0

140.

Medical and welfare services

294

92.

Retail trade

323

80.

Transportation

136

60.

Manufacturing

540

160.

Legal and accounting services

27

180.

Public administration

99

40.

Mining

2

10.

Agriculture

127

20.

Forestry

4

93.

Restaurants

111

170.

Other services

337

70.

Electricity, gas, steam supply, water works

25

30.

Fishery

16

130.

Information and communication services

76

91.

Wholesale trade

96

150.

Educational and research services

123

190.

Industries not elsewhere classified

14

Summary Statistics: Min. 10.0; Max. 190.0; Valid 2657.0; Mean 101.61648475724492; StDev 47.16649006847313

Variable Format: numeric

Notes: UNF:6:JKi1mI2tHKlrAvvoy196Jw==

Occupation

f5791229 Location:

Value

Label

Frequency

Text

681.

Tatami mat makers/layers

2

685.

Warehouse keepers, dockers

20

663.

Mounters, liners

4

533.

Musicians (excluding private music instructors)

2

586.

Entertainment facility service workers

10

612.

Railway workers

0

576.

Pawnshop owners/clerks

0

604.

Fishery workers

13

613.

Sailors

1

702.

Carpenters

26

661.

Painters, drawers, signboard makers

15

615.

Radio operators

0

623.

Potters, pottery painters

1

673.

Boiler technicians, boilermen

4

639.

Bicycle assemblers/maintenance workers

0

621.

Stone cutters

1

640.

Other transportation vehicle assemblers/maintenance workers

2

522.

Junior high school teachers

9

686.

Transportation laborers

25

551.

Station masters

0

503.

Mechanical, electrical and chemical engineers

36

601.

Livestock farming workers

9

536.

Veterinarians

1

584.

Flight attendants

0

986.

No occupation

0

583.

Waiters/waitresses

44

574.

Insurance agents/door-to-door insurance sales persons

17

539.

Private instructors

25

531.

Designers

4

630.

Metal machine tool makers, platers, metal processors

23

535.

Professional athletes (excluding private sports instructors)

1

544.

Other professional/technical occupations

9

626.

Other ceramic/earthen/stoneware makers

0

599.

Agricultural/sericultural workers

108

549.

Senior officials of special-interest organizations

1

635.

Automobile assemblers/automobile mechanics

35

637.

Ship riggers (not elsewhere classified)

0

624.

Stone masons

0

530.

Sculptors, artistic painters, industrial artists

3

679.

Plasterers, scaffolding builders

10

689.

Occupations not elsewhere classified

4

660.

Shoe makers/repairers, leather/leather goods makers

4

649.

Textile and weaving machine operators

3

593.

Self Defense Force officials

2

573.

Door-to-door sales (excluding insurance and real estate)

113

532.

Photographers

0

704.

Manufacturing workers (not further specified)

8

690.

Landowners (before the Agrarian Reform)

0

548.

Chief executives

27

526.

Other educational professionals

0

616.

Wire operators

0

512.

Public health nurses

1

667.

Umbrella makers

0

703.

Teachers (not further specified)

10

545.

Senior government officials

5

537.

Nursery school teachers

25

641.

Watch assemblers/repairers

1

611.

Conductors

1

554.

General affairs/planning clerks

346

568.

Restaurant owners

18

570.

Peddlers, hawkers, street stall keepers

2

518.

Other legal professionals

2

653.

Sawmill operators, woodworkers

8

507.

Other engineers and technicians

5

587.

Tour guides

0

591.

Fashion models

0

588.

Other personal service workers

0

572.

Merchandise intermediary occupations

1

594.

Police officers, Coast Guards and railroad security officers

7

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

5

580.

Launderers

5

559.

Accounting clerks

89

656.

Bucket makers, wood/bamboo/leaf/vine product makers

3

578.

Housemaids, housekeeping service workers

55

655.

Shipwrights

0

627.

Pig iron/steel makers, smelters

5

595.

Firefighters

6

619.

Other communication workers

0

569.

Shop salespersons

131

645.

Miso/soy sauce/canned food/dairy product makers, food makers

54

527.

Religious professionals

7

502.

Researchers in humanities

0

651.

Tailors (including kimono tailors)

5

581.

Cooks

67

636.

Railway car assemblers/repairers

1

558.

Other office clerks

27

513.

Dieticians

2

542.

Radio and television announcers

0

648.

Silk mill operators and spinners

3

506.

Information technology engineers

37

553.

Other managerial occupations

11

687.

Garbage collectors

45

999.

No answer

0

606.

Train drivers/locomotive drivers

3

590.

Boarding house/apartment/residence/dormitory superintendents

15

529.

Journalists/reporters, editors

7

674.

Crane/construction machine operators

6

603.

Other agricultural and forestry workers

0

654.

Cabinet makers, furniture makers, joiners

9

607.

Automobile drivers

78

510.

Pharmacists

8

652.

Sewers, cutters

14

504.

Architectural and civil engineers

21

598.

(pre-war) Professional military service persons

0

565.

Computer and other similar equipment operators

7

597.

Other protective service workers

4

617.

Telephone operators

2

668.

Bag makers

1

524.

University professors

9

683.

Railway track layers

0

608.

Ships captains/navigators (not of fishing boat), boat pilots

1

561.

Bill collectors

5

541.

Business management consultants

5

642.

Optical machine/precision machine assemblers/repairers

5

622.

Other quarry workers

0

585.

Club hosts/club hostesses

3

528.

Authors and writers

0

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

592.

Other service workers

25

620.

Miners, coal miners

0

600.

Gardeners, landscape gardeners

13

564.

Stenographers, typists, data-entry clerks

4

632.

Metal soldering workers

7

602.

Forestry workers

2

998.

Not applicable

0

628.

Founders, casters, metal material makers

1

634.

Electric machine and instrument assemblers/repairers

64

589.

Inn owners/managers, hotel managers

2

516.

Other health care professionals

37

509.

Dentists

3

638.

Aircraft assemblers/aircraft engine mechanics

2

547.

Local parliament members

1

676.

Power station/substation workers

1

670.

Drafters, technical drawers

6

521.

Elementary school teachers

24

525.

Teachers for the blind, the deaf, and/or the handicapped

4

633.

General mechanical equipment assemblers/repairers

56

562.

Other outside-duty clerks

4

625.

Glass/cement goods makers

1

658.

Printers, book binders

15

646.

Tobacco makers

1

556.

Shipping/sorting clerks

11

582.

Bartenders

0

610.

Aircraft pilots, flight navigators, flight engineers

1

557.

Sales clerks

47

682.

Building construction laborers

24

519.

Certified public accountants, tax accountants

3

680.

Bricklayers, pipe layers

10

571.

Recyclable resource wholesalers/collectors

1

552.

Postmasters, telegraph/telephone office chiefs

1

678.

Construction work contractors

8

575.

Real estate agents/traders

13

688.

Miscellaneous laborers

22

677.

Electricity/telephone construction workers

14

517.

Judges, public prosecutors, lawyers

0

560.

Postal/communication clerks

8

657.

Paper/paper device/pulp/paper goods makers

7

546.

Diet members

0

563.

Transportation clerks

4

684.

Work site foremen, other construction workers

16

540.

Real estate appraisers

0

671.

Projectionists

0

659.

Rubber/plastic goods makers

12

614.

Other transportation workers

5

691.

Nominal company executives

0

666.

Seal carvers

0

644.

Bakers, cake/noodle/tofu makers

17

643.

Grain refining/flour milling machine operators

0

664.

Japanese-style umbrella/lantern/fan makers

0

596.

Prison guards, gatekeepers

10

609.

Ship engine drivers (excluding fishing boat)

0

523.

High school teachers

13

538.

Social welfare service professionals

14

662.

Lacquer painters, gold lacquer painters

1

501.

Researchers in natural science

2

511.

Midwives

1

705.

Company employees (not further specified)

0

701.

Supermarket and other shop cashiers

9

567.

Wholesale shop owners

6

672.

Other technical workers/production process workers

30

618.

Mail carriers, telegraph deliverers

7

605.

Fishing boat captains/navigators/engine drivers

1

534.

Actors, dancers (excluding private instructors)

3

550.

Managers in companies/organizations

29

543.

Librarians

1

508.

Medical doctors (physicians)

13

514.

Nurses

61

647.

Alcoholic beverage makers

1

631.

Iron workers, sheet metal makers

8

520.

Kindergarten teachers

5

566.

Retail shop owners

42

650.

Bleachers, dyers

3

577.

Other sales and sales-related workers

13

505.

Agricultural and forestry engineers

0

675.

Other stationary engine operators

5

579.

Barbers, hairdressers, beauticians

30

669.

Toy makers

1

629.

Chemical product makers

14

555.

Receptionists/information clerks

27

Summary Statistics: StDev 51.436313678180525; Valid 2662.0; Min. 501.0; Mean 587.2081141998498; Max. 704.0

Variable Format: numeric

Notes: UNF:6:Jk4KQ92c9tIAFEBXFaT8tA==

How many people work at employer?

f5791229 Location:

Value

Label

Frequency

Text

7.

300-499

102

13.

Don't know

0

3.

5-9

215

9.

1,000-1,999

109

4.

10-29

354

12.

Government agency

0

88.

Not applicable

0

8.

500-999

117

11.

10,000 or over

123

6.

100-299

287

2.

2-4

386

10.

2,000-9,999

122

1.

1

130

99.

No answer

0

5.

30-99

345

Summary Statistics: Mean 5.0716157205240195; Max. 11.0; Min. 1.0; StDev 2.7828231028841777; Valid 2290.0

Variable Format: numeric

Notes: UNF:6:IYO56VDlR+qDcnuEG/Gxow==

Joining Labor Union

f5791229 Location:

Value

Label

Frequency

Text

8.

Not applicable

1549

1.

I am a member of a labor union at my workplace.

460

3.

I am not a member of any labor union.

2095

9.

No answer

17

2.

I am a member of a labor union outside of my workplace.

49

4.

Don't know

50

Summary Statistics: StDev 2.6622402300209167; Valid 4220.0; Mean 4.641706161137503; Max. 9.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:HFEQar8eDkfOb/DEbGhFdQ==

Satisfaction with Your Job

f5791229 Location:

Value

Label

Frequency

Text

2.

Somewhat satisfied

1058

4.

Somewhat dissatisfied

190

6.

Don't know

3

3.

Neither satisfied nor dissatisfied

645

1.

Satisfied

696

8.

Not applicable

1549

9.

No answer

2

5.

Dissatisfied

77

Summary Statistics: Min. 1.0; Max. 9.0; Valid 4220.0; StDev 2.9037097175553335; Mean 4.341232227488145

Variable Format: numeric

Notes: UNF:6:YPpyYOw2IfLEDTN0Pv8Psg==

Possibility of Loosing Your Job

f5791229 Location:

Value

Label

Frequency

Text

9.

No answer

2

8.

Not applicable

1549

3.

Not too likely

801

5.

Don't know

160

4.

Not at all likely

1325

2.

Fairly likely

313

1.

Very likely

70

Summary Statistics: Max. 9.0; Min. 1.0; StDev 2.3030430315236723; Mean 5.120616113744065; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:dpgkzryAYvMK1Z+2BxFB1g==

Does employer import goods?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

458

0.

No

2179

Summary Statistics: StDev 0.3789078355432392; Valid 2637.0; Mean 0.17368221463784608; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:DKDcqQga5Br2OC86Hlj3EQ==

Does employer export goods?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

283

0.

No

2354

Summary Statistics: Mean 0.10731892301858165; StDev 0.3095769941724425; Valid 2637.0; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:x6ev5m7+JfFoslli1HIoQw==

Does employer produce goods overseas?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

177

0.

No

2460

Summary Statistics: StDev 0.25028015707934415; Mean 0.06712172923777018; Valid 2637.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:enRa+e6Y598aGBNLKEnxTw==

Employer not part of global supply chain

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

1971

0.

No

666

Summary Statistics: Min. 0.0; Mean 0.7474402730375428; Max. 1.0; StDev 0.4345629123920186; Valid 2637.0

Variable Format: numeric

Notes: UNF:6:1yMHSHLaxqIrBXWeaCFfRw==

Last School Respondent Attended

f5791229 Location:

Value

Label

Frequency

Text

12.

University

767

8.

Junior high school

535

14.

Don't know

0

3.

Junior high school/Girls' high school in the old system

122

99.

No answer

0

6.

Higher school or vocational school in the old system

24

13.

Graduate school

55

7.

University/Graduate school in the old system

11

1.

Ordinary elementary school in the old system

55

2.

Higher elementary school in the old system

100

10.

College of technology

153

9.

High school

1776

5.

Normal school in the old system

3

11.

2-year college

384

4.

Vocational school/Commerce school in the old system

24

Summary Statistics: StDev 2.424701715768888; Valid 4009.0; Mean 9.201795959092054; Max. 13.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:Dqk5YAeNvMQtB/PULUW25g==

Completion of the Last School

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

4038

0.

No

173

Summary Statistics: Mean 0.9589171218237947; Valid 4211.0; StDev 0.19850549815316823; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1bR5X58mjk1G6NuyBm+YnA==

Type of Residential Area

f5791229 Location:

Value

Label

Frequency

Text

3.

Old residential area from the pre-war period

1203

5.

Farming/fishing village

789

1.

Area where a number of factories are located

43

9.

No answer

0

2.

Area where a number of stores and offices are located

471

4.

New residential area after the war

1585

6.

Other

86

Summary Statistics: StDev 1.0021852330559795; Mean 3.6856595642805843; Min. 1.0; Max. 6.0; Valid 4177.0

Variable Format: numeric

Notes: UNF:6:VP2Nb6N4Y8hzHSYVKQZ84A==

Comparison of Household Income with Others at Age 15

f5791229 Location:

Value

Label

Frequency

Text

2.

Below average

1100

1.

Far below average

408

5.

Far above average

97

4.

Above average

643

9.

No answer

0

3.

Average

1898

Summary Statistics: StDev 0.9165663804790071; Mean 2.739749155812832; Max. 5.0; Valid 4146.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:C6eNapwCT7I0rql0Savqhg==

Class Rank in the Senior of Junior High School

f5791229 Location:

Value

Label

Frequency

Text

1.

Low

279

5.

High

576

2.

Relatively low

664

9.

No answer

0

4.

Relatively high

982

3.

About in the middle

1692

Summary Statistics: Valid 4193.0; Max. 5.0; Mean 3.217505366086335; StDev 1.0775771418748292; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:2tBw2qBRJ/HBU+DRhxfZZw==

Agree with Government Redistribution

f5791229 Location:

Value

Label

Frequency

Text

1.

Strongly Disagree

69

5.

Agree

1222

3.

Neither agree nor Disagree

1351

2.

Somewhat Disagree

198

4.

Somewhat Agree

1361

Summary Statistics: Mean 3.825755772435135; Min. 1.0; Valid 4201.0; StDev 0.9584776154852525; Max. 5.0

Variable Format: numeric

Notes: UNF:6:b0CnJtKl2Jv6d6ZWIOAyGg==

Political Support

f5791229 Location:

Value

Label

Frequency

Text

5.

Social Democratic Party

54

9.

No answer

26

1.

Liberal Democratic Party

947

7.

There is no particular party I support.

1904

2.

Democratic Party of Japan

730

8.

Don't know

320

4.

Japanese Communist Party

72

6.

Other

8

3.

New Komeito

159

Summary Statistics: Max. 9.0; StDev 2.7893289244942236; Min. 1.0; Mean 4.647393364928906; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:GXbpG8eSGjOjj7y3c8uFkQ==

Emotional closeness to town or city of residence

f5791229 Location:

Value

Label

Frequency

Text

1.

Not at all close

33

4.

Very close

615

2.

Not so close

207

3.

Somewhat close

1301

Summary Statistics: Mean 3.1586270871985165; Max. 4.0; Valid 2156.0; StDev 0.6461556980802093; Min. 1.0

Variable Format: numeric

Notes: UNF:6:gwJ7WQAzjhWcSX94jvCUVQ==

Acceptance of Foreign Co-workers: China

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

1341

0.

No

706

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2047.0; Mean 0.6551050317537872; StDev 0.47545016607362056;

Variable Format: numeric

Notes: UNF:6:d5P5xEINtwTz4UbhVuZxlQ==

Acceptance of Foreign Co-workers: South Korea

f5791229 Location:

Value

Label

Frequency

Text

0.

No

612

1.

Yes

1431

Summary Statistics: Max. 1.0; Mean 0.7004405286343622; StDev 0.45817720201334117; Min. 0.0; Valid 2043.0

Variable Format: numeric

Notes: UNF:6:yXfkVmtWkVOt57DknxOIxg==

Acceptance of Foreign Co-workers: Taiwan

f5791229 Location:

Value

Label

Frequency

Text

0.

No

559

1.

Yes

1479

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.7257114818449456; Valid 2038.0; StDev 0.44626454745897165

Variable Format: numeric

Notes: UNF:6:5E3Mp9GxTjXPzJSx5LWRwA==

Acceptance of Foreign Co-workers: Southeast Asia

f5791229 Location:

Value

Label

Frequency

Text

0.

No

619

1.

Yes

1412

Summary Statistics: Min. 0.0; Max. 1.0; Valid 2031.0; StDev 0.46042584329736086; Mean 0.6952240275726251

Variable Format: numeric

Notes: UNF:6:vMF2Vh9kMFFzoz7v9h7Knw==

Acceptance of Foreign Co-workers: Europe

f5791229 Location:

Value

Label

Frequency

Text

0.

No

520

1.

Yes

1516

Summary Statistics: Valid 2036.0; Max. 1.0; Min. 0.0; Mean 0.7445972495088399; StDev 0.43619449358987417

Variable Format: numeric

Notes: UNF:6:n9Scs9T6VzMZ4F5h6R0WuQ==

Acceptance of Foreign Co-workers: North America

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

1528

0.

No

511

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2039.0; Mean 0.7493869543894061; StDev 0.43347237416288964;

Variable Format: numeric

Notes: UNF:6:VqHVyU0zPSIc2EtThgA8SQ==

Acceptance of Foreign Neighbors: China

f5791229 Location:

Value

Label

Frequency

Text

0.

No

749

1.

Yes

1303

Summary Statistics: StDev 0.48155024516428935; Max. 1.0; Mean 0.6349902534113079; Valid 2052.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:HvFS47AVueUIdF3piez8zw==

Acceptance of Foreign Neighbors: South Korea

f5791229 Location:

Value

Label

Frequency

Text

0.

No

641

1.

Yes

1412

Summary Statistics: Max. 1.0; StDev 0.46351437790417843; Min. 0.0; Mean 0.6877739892839738; Valid 2053.0

Variable Format: numeric

Notes: UNF:6:WUGSp/QDDEST3PmUO0LriQ==

Acceptance of Foreign Neighbors: Taiwan

f5791229 Location:

Value

Label

Frequency

Text

0.

No

600

1.

Yes

1450

Summary Statistics: StDev 0.4551051149382612; Valid 2050.0; Mean 0.7073170731707296; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:nMuaQXv/Jkr0yU/TAQjM+w==

Acceptance of Foreign Neighbors: Southeast Asia

f5791229 Location:

Value

Label

Frequency

Text

0.

No

677

1.

Yes

1368

Summary Statistics: Max. 1.0; StDev 0.4707065927749448; Min. 0.0; Mean 0.6689486552567258; Valid 2045.0

Variable Format: numeric

Notes: UNF:6:nF2jYo5buV7AFhQtiFy7mg==

Acceptance of Foreign Neighbors: Europe

f5791229 Location:

Value

Label

Frequency

Text

0.

No

520

1.

Yes

1528

Summary Statistics: StDev 0.43535090485333716; Max. 1.0; Min. 0.0; Valid 2048.0; Mean 0.74609375

Variable Format: numeric

Notes: UNF:6:zlbGoXuFlemwdRRtPUKviw==

Acceptance of Foreign Neighbors: North america

f5791229 Location:

Value

Label

Frequency

Text

0.

No

510

1.

Yes

1542

Summary Statistics: Mean 0.7514619883040936; Valid 2052.0; Min. 0.0; StDev 0.43227066729938335; Max. 1.0

Variable Format: numeric

Notes: UNF:6:A8IrvP6WHIohLJ6EYAZrGg==

Acceptance of Foreign Relatives: China

f5791229 Location:

Value

Label

Frequency

Text

0.

No

893

1.

Yes

1146

Summary Statistics: Valid 2039.0; Max. 1.0; StDev 0.4962577881479528; Mean 0.562040215792056; Min. 0.0

Variable Format: numeric

Notes: UNF:6:rMF6fHkacJAI6UMEjA43Jw==

Acceptance of Foreign Relatives: South Korea

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

1219

0.

No

824

Summary Statistics: Min. 0.0; Max. 1.0; Valid 2043.0; StDev 0.490685705533541; Mean 0.596671561429272

Variable Format: numeric

Notes: UNF:6:C4cFtrVTDwB0w1mm3dVMEA==

Acceptance of Foreign Relatives: Taiwan

f5791229 Location:

Value

Label

Frequency

Text

0.

No

778

1.

Yes

1262

Summary Statistics: Valid 2040.0; Min. 0.0; Mean 0.6186274509803931; StDev 0.4858428092934914; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:8QMxI5x5PBxy6UUjhDNhNA==

Acceptance of Foreign Relatives: Southeast Asia

f5791229 Location:

Value

Label

Frequency

Text

0.

No

855

1.

Yes

1180

Summary Statistics: Mean 0.5798525798525817; StDev 0.4937036976653871; Min. 0.0; Max. 1.0; Valid 2035.0

Variable Format: numeric

Notes: UNF:6:FFLCqsnBkHJaFtBXvyX/wg==

Acceptance of Foreign Relatives: Europe

f5791229 Location:

Value

Label

Frequency

Text

0.

No

658

1.

Yes

1382

Summary Statistics: Mean 0.6774509803921562; Max. 1.0; Valid 2040.0; StDev 0.4675663753936377; Min. 0.0

Variable Format: numeric

Notes: UNF:6:yDzkr0+B+3zlb6dvW3Qqew==

Acceptance of Foreign Relatives: North America

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

1399

0.

No

642

Summary Statistics: Min. 0.0; Valid 2041.0; StDev 0.46445087479345243; Mean 0.6854483096521319; Max. 1.0

Variable Format: numeric

Notes: UNF:6:yklJ5wHNGfCnb6hVtWVjCA==

Views on the Restriction of Foreign Products

f5791229 Location:

Value

Label

Frequency

Text

8.

Not applicable

2060

6.

Disagree

113

7.

Strongly disagree

35

3.

Somewhat agree

474

2.

Agree

239

1.

Strongly agree

57

5.

Somewhat disagree

243

4.

Neither agree nor disagree

990

9.

No answer

9

Summary Statistics: Max. 9.0; StDev 2.281273427260719; Min. 1.0; Mean 5.833175355450191; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:X1u3mUCFM5gBylHsjqhd7g==

Should follow national interest even if it leads to conflicts with other nations

f5791229 Location:

Value

Label

Frequency

Text

1.

Strongly Disagree

22

4.

Neither Agree nor Disagree

940

3.

Somewhat Disagree

190

5.

Somewhat Agree

571

6.

Agree

275

2.

Disagree

86

7.

Strongly Agree

65

Summary Statistics: Mean 4.413215449046067; Min. 1.0; Max. 7.0; StDev 1.1046424552884282; Valid 2149.0

Variable Format: numeric

Notes: UNF:6:RjuBsZi+Nfjdwc4nhqYhPA==

Views on Globalization: Job Opportunity for Workers in Japan

f5791229 Location:

Value

Label

Frequency

Text

4.

Neither good nor bad

716

1.

Very good

47

7.

Very bad

42

99.

No answer

23

2.

Good

256

88.

Not applicable

2060

3.

Somewhat good

396

5.

Somewhat bad

324

6.

Bad

157

8.

Can't choose

199

Summary Statistics: Min. 1.0; Mean 45.64360189573554; StDev 41.96809129225644; Max. 99.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:hhWquH6VqxqolvppxMmqPQ==

Does R work for foreign capital company?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

2032

1.

Yes

24

Summary Statistics: Max. 1.0; Mean 0.011673151750972798; Valid 2056.0; StDev 0.10743604300799392; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:AXy+4I5gMrZ8PlZYwmO4pw==

Weight

f5791229 Location:

Summary Statistics: Mean 24070.13033175356; Min. 18823.0; Valid 4220.0; StDev 5178.4471978548745; Max. 36734.0

Variable Format: numeric

Notes: UNF:6:Jn3KppLByVlBksYT8DizZg==

Consolidated Job Type

f5791229 Location:

Summary Statistics: Min. 1.0; Valid 2669.0; Mean 2.7523417010116162; Max. 6.0; StDev 1.2732541423779944;

Variable Format: numeric

Notes: UNF:6:sWA5tvaeI/vS+/pVR++NkQ==

RECODE of job_type

f5791229 Location:

Value

Label

Frequency

Text

4.

Self-Employed or Family Worker

440

3.

Temporary Worker

674

1.

Executive

166

2.

Regular Employee

1389

Summary Statistics: Valid 2669.0; Min. 1.0; Max. 4.0; Mean 2.520044960659424; StDev 0.8390259922487052

Variable Format: numeric

Notes: UNF:6:4nEu3gL0C1pSVLUve7a6Lw==

Is R a Temp worker?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

674

0.

No

1995

Summary Statistics: Min. 0.0; Valid 2669.0; StDev 0.43454444127055386; Max. 1.0; Mean 0.2525290370925446;

Variable Format: numeric

Notes: UNF:6:wvCPl57i1XQWtTDpz+kxaQ==

Level of management responsibility

f5791229 Location:

Value

Label

Frequency

Text

4.

Section Head, Manager

159

2.

Group leader, Foreman

117

3.

Sub-section head

154

5.

Department Head, General Manager

66

1.

No managerial post

1538

6.

Executive

166

Summary Statistics: StDev 1.5899702172246644; Max. 6.0; Valid 2200.0; Mean 1.9072727272727281; Min. 1.0

Variable Format: numeric

Notes: UNF:6:VFd1Ec1VI6roQf3jfuNzsA==

RECODE of mgmt_resp (Level of management responsibility)

f5791229 Location:

Summary Statistics: StDev 0.41283690469723966; Min. 0.0; Valid 2516.0; Max. 1.0; Mean 0.21780604133545306

Variable Format: numeric

Notes: UNF:6:IIt/gMjyz2MqdG7gnoUe7A==

How satisfied are you with your job?

f5791229 Location:

Value

Label

Frequency

Text

2.

Somewhat dissatisfied

190

1.

Dissatisfied

77

5.

Satisfied

696

3.

Neither satisfied nor dissatisfied

645

4.

Somewhat satisfied

1058

Summary Statistics: StDev 1.0021310487617745; Valid 2666.0; Min. 1.0; Mean 3.789947486871719; Max. 5.0

Variable Format: numeric

Notes: UNF:6:PF/ApckKAzKJgEaAGudpmg==

Workplace type

f5791229 Location:

Value

Label

Frequency

Text

2.

Independent establishment

1189

4.

Headquarters or main establishment

367

1.

Government agency

233

3.

Branch establishment

785

Summary Statistics: Min. 1.0; StDev 0.8464506291028384; Mean 2.499611499611499; Max. 4.0; Valid 2574.0

Variable Format: numeric

Notes: UNF:6:uQYSXZkeQhXHGmjhEx/80A==

Employed at headquarters of employer

f5791229 Location:

Value

Label

Frequency

Text

0.

No

785

1.

Yes

1556

Summary Statistics: Mean 0.6646732165741137; Max. 1.0; StDev 0.4722054433970399; Valid 2341.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:bHrGdKG837Rgle7WsQGGUw==

Does R work in manufacturing?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

2117

1.

Yes

540

Summary Statistics: Max. 1.0; Min. 0.0; Valid 2657.0; StDev 0.40248295822583646; Mean 0.20323673315769697;

Variable Format: numeric

Notes: UNF:6:ptA1o9lYMGSQfTmJQtOmIQ==

RECODE of industry (Industry)

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

149

0.

No

2508

Summary Statistics: Mean 0.056078283778697856; Valid 2657.0; Max. 1.0; StDev 0.23011614383279005; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:vLtZm1EPNFh4lyejrL9YqQ==

Does R work in Comparative disadvantage manufacturing?

f5791229 Location:

Summary Statistics: Valid 2657.0; Max. 1.0; Mean 0.05231464057207421; Min. 0.0; StDev 0.22270268364208495

Variable Format: numeric

Notes: UNF:6:cMxGZY/ac0HAsNsNuhQCjw==

manu_disadv

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

401

0.

No

2256

Summary Statistics: Mean 0.1509220925856228; Max. 1.0; StDev 0.3580403074718528; Valid 2657.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:TaWXV/ttS7bYjxN9xu87nQ==

Does R work in Comparative Disadvantage Sector?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

2107

1.

Yes

550

Summary Statistics: Valid 2657.0; Max. 1.0; StDev 0.40523206249351595; Mean 0.207000376364321; Min. 0.0

Variable Format: numeric

Notes: UNF:6:onNCy4utTxufDOjuRgAn9A==

Union Member?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

509

0.

No

2145

Summary Statistics: Valid 2654.0; Max. 1.0; Mean 0.19178598342125072; Min. 0.0; StDev 0.3937798191407467

Variable Format: numeric

Notes: UNF:6:qdUU3nvPWxpl7LuXpBt86Q==

Is R a college/university graduate?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

833

0.

No

3176

Summary Statistics: Min. 0.0; StDev 0.40577086710298044; Valid 4009.0; Max. 1.0; Mean 0.2077824893988531

Variable Format: numeric

Notes: UNF:6:yW7gneMi9uTiuezvXl0iRg==

Including CoT in college graduates

f5791229 Location:

Summary Statistics: Mean 0.24594662010476395; Valid 4009.0; Min. 0.0; Max. 1.0; StDev 0.43070076833052895

Variable Format: numeric

Notes: UNF:6:gal2sHxC5hQ3ZkxgOdTbkg==

RECODE of emp_size (How many people work at employer?)

f5791229 Location:

Summary Statistics: Mean 0.15458515283842797; Max. 1.0; StDev 0.36158771763249786; Min. 0.0; Valid 2290.0

Variable Format: numeric

Notes: UNF:6:MXrUWdAHrik60vzGMLB+Uw==

Does employer have >299 employees?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

573

0.

No

1717

Summary Statistics: Valid 2290.0; Max. 1.0; Min. 0.0; Mean 0.25021834061135323; StDev 0.43323329027791463

Variable Format: numeric

Notes: UNF:6:1/E5YVxP060TlKRE4tuaIQ==

Does employer both import and export goods?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

2504

1.

Yes

133

Summary Statistics: Mean 0.05043610163064076; Min. 0.0; Max. 1.0; Valid 2637.0; StDev 0.2188846039223974

Variable Format: numeric

Notes: UNF:6:sO44510VTU3b0Nc9C4/p2Q==

Employer is part of global supply chain

f5791229 Location:

Value

Label

Frequency

Text

0.

No

1961

1.

Yes

677

Summary Statistics: Max. 1.0; Mean 0.2566338134950722; Valid 2638.0; Min. 0.0; StDev 0.43685837972705016

Variable Format: numeric

Notes: UNF:6:pnyJpidrK+X4h8LYkSc3ZQ==

emp_glob_ord

f5791229 Location:

Summary Statistics: Max. 2.0; Mean 0.5505689001264229; Min. 0.0; StDev 0.7021492657487016; Valid 1582.0

Variable Format: numeric

Notes: UNF:6:nsnerJALoj9NVdUehhUeiA==

Probability of losing job in next 12 months

f5791229 Location:

Value

Label

Frequency

Text

3.

Fairly likely

313

2.

Not too likely

801

4.

Very likely

70

1.

Not at all likely

1325

Summary Statistics: Max. 4.0; StDev 0.8024427978910352; Mean 1.652451175767238; Min. 1.0; Valid 2509.0

Variable Format: numeric

Notes: UNF:6:TA0lKNoB8OVl2d9ZlMg+ew==

pid

f5791229 Location:

Summary Statistics: Mean 4.341249354672166; Min. 1.0; StDev 2.7066236544441975; Max. 7.0; Valid 3874.0

Variable Format: numeric

Notes: UNF:6:uY4qK9R6HTLomnd/5rpLzw==

Does R support DPJ?

f5791229 Location:

Value

Label

Frequency

Text

1.

Yes

730

0.

No

3144

Summary Statistics: Mean 0.18843572534847725; StDev 0.39111019975724737; Min. 0.0; Valid 3874.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:F8gLwnf7syC5q3U0QzcLMg==

Does R support leftist parties?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

3748

1.

Yes

126

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.17741139344103435; Valid 3874.0; Mean 0.03252452245740831

Variable Format: numeric

Notes: UNF:6:dFJUWrcTyI1JQpvVdWANBw==

Does R support LDP?

f5791229 Location:

Value

Label

Frequency

Text

0.

No

2927

1.

Yes

947

Summary Statistics: Min. 0.0; Valid 3874.0; Max. 1.0; Mean 0.24445018069179106; StDev 0.4298162136391196

Variable Format: numeric

Notes: UNF:6:1Y+DDzzejh9iU7apSI23fQ==

Japan should limit imports

f5791229 Location:

Value

Label

Frequency

Text

1.

Strongly Disagree

35

5.

Somewhat Agree

474

4.

Neither Agree nor Disagree

990

7.

Strongly Agree

57

2.

Disagree

113

6.

Agree

239

3.

Somewhat Disagree

243

Summary Statistics: Valid 2151.0; Mean 4.255230125523012; Min. 1.0; StDev 1.1438162686026039; Max. 7.0;

Variable Format: numeric

Notes: UNF:6:Lpun9dL2i9Qv8bDEsjIRHQ==

Globalization good for Japanese workers

f5791229 Location:

Value

Label

Frequency

Text

5.

Somewhat Agree

396

4.

Neither Agree nor Disagree

716

3.

Somewhat Disagree

324

1.

Strongly Disagree

42

7.

Strongly Agree

47

6.

Agree

256

2.

Disagree

157

Summary Statistics: Max. 7.0; Valid 1938.0; Mean 4.147058823529411; Min. 1.0; StDev 1.2714018611200502;

Variable Format: numeric

Notes: UNF:6:9XEYX78hFIFGjljjrkbDqQ==

RECODE of xeno_coworkers_kr (Acceptance of Foreign Co-workers: South Korea)

f5791229 Location:

Summary Statistics: StDev 0.49980708672953705; Max. 1.0; Min. 0.0; Mean 0.48412322274881503; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:AXbp3HYpXRPoJrJXiSY1mA==

RECODE of xeno_coworkers_tw (Acceptance of Foreign Co-workers: Taiwan)

f5791229 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; StDev 0.49976803436000433; Max. 1.0; Mean 0.48293838862558724

Variable Format: numeric

Notes: UNF:6:BIEeZ/pBQCaU01YWHvR3ow==

RECODE of xeno_coworkers_cn (Acceptance of Foreign Co-workers: China)

f5791229 Location:

Summary Statistics: Mean 0.4850710900473935; Min. 0.0; StDev 0.49983630377310245; Valid 4220.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:vfkZBcOM3Lxgqdf3HBeABg==

RECODE of xeno_coworkers_sa (Acceptance of Foreign Co-workers: Southeast Asia)

f5791229 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.48127962085307957; StDev 0.49970863519363423; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:iyXJRQpeCr+GByp+qZsyng==

RECODE of xeno_coworkers_eu (Acceptance of Foreign Co-workers: Europe)

f5791229 Location:

Summary Statistics: StDev 0.49975162583535077; Valid 4220.0; Mean 0.4824644549763108; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:HiNqJzW8/7quKmxefeFj3Q==

RECODE of xeno_coworkers_na (Acceptance of Foreign Co-workers: North America)

f5791229 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.4831753554502366; StDev 0.49977606984509654; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:N8crk8cTo1iw+RNMpuJ3lw==

xeno_coworkers_nonmiss

f5791229 Location:

Summary Statistics: Mean 2.899052132701442; Min. 0.0; Max. 6.0; StDev 2.990979414729301; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:J6WpTsnM0RLrPHpICVXbRw==

xeno_coworkers_tot

f5791229 Location:

Summary Statistics: Max. 5.0; Mean 1.745497630331772; StDev 2.297739671452415; Min. 0.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:+GGpUO/jOGRaWEoQgPa2MA==

xeno_coworkers_avg

f5791229 Location:

Summary Statistics: Mean 0.6016804566629569; StDev 0.34258918477730793; Max. 1.0; Valid 2053.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:0JST1dllv7MikSQQJmasHA==

RECODE of xeno_neighbors_kr (Acceptance of Foreign Neighbors: South Korea)

f5791229 Location:

Summary Statistics: Valid 4220.0; Max. 1.0; StDev 0.49987675532195025; Mean 0.48649289099527404; Min. 0.0

Variable Format: numeric

Notes: UNF:6:ACqqjpM9GVFmNRDw70TprA==

RECODE of xeno_neighbors_tw (Acceptance of Foreign Neighbors: Taiwan)

f5791229 Location:

Summary Statistics: Mean 0.48578199052132276; Min. 0.0; Max. 1.0; Valid 4220.0; StDev 0.499857035600817

Variable Format: numeric

Notes: UNF:6:dmOfV/cWyvcEnZTwrwwARQ==

RECODE of xeno_neighbors_cn (Acceptance of Foreign Neighbors: China)

f5791229 Location:

Summary Statistics: StDev 0.4998702945303205; Valid 4220.0; Min. 0.0; Mean 0.4862559241706246; Max. 1.0

Variable Format: numeric

Notes: UNF:6:Ai/4rMP7ZEVHCruZ3M78Vg==

RECODE of xeno_neighbors_sa (Acceptance of Foreign Neighbors: Southeast Asia)

f5791229 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; Max. 1.0; Mean 0.48459715639811696; StDev 0.49982192021123656

Variable Format: numeric

Notes: UNF:6:VdVVbb17KU0roZHWWdqsgQ==

RECODE of xeno_neighbors_eu (Acceptance of Foreign Neighbors: Europe)

f5791229 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.4998433268462738; Mean 0.48530805687204587; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:SU4p43gviOrzY20v8I/LBw==

RECODE of xeno_neighbors_na (Acceptance of Foreign Neighbors: North america)

f5791229 Location:

Summary Statistics: Max. 1.0; StDev 0.4998702945303205; Valid 4220.0; Min. 0.0; Mean 0.48625592417062435

Variable Format: numeric

Notes: UNF:6:sK9ZyuV/r31IQvoFyAcLCA==

xeno_neighbors_nonmiss

f5791229 Location:

Summary Statistics: Max. 6.0; Valid 4220.0; Mean 2.9146919431280485; Min. 0.0; StDev 2.992417101428026

Variable Format: numeric

Notes: UNF:6:vyj0vqEmaiF7RM313tsiBQ==

xeno_neighbors_tot

f5791229 Location:

Summary Statistics: Max. 5.0; StDev 2.2836350057965134; Mean 1.7298578199052321; Valid 4220.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:tdmABDrdNgYBXMuC4XESTw==

xeno_neighbors_avg

f5791229 Location:

Summary Statistics: Max. 1.0; Valid 2063.0; Min. 0.0; StDev 0.34424613030465545; Mean 0.594167060019667

Variable Format: numeric

Notes: UNF:6:lfTgYga9eMgNam/DydBqeA==

RECODE of xeno_marriage_kr (Acceptance of Foreign Relatives: South Korea)

f5791229 Location:

Summary Statistics: Min. 0.0; StDev 0.49980708672953683; Max. 1.0; Mean 0.48412322274881586; Valid 4220.0;

Variable Format: numeric

Notes: UNF:6:GORG4ApV+d6WjXzgK8JumA==

RECODE of xeno_marriage_tw (Acceptance of Foreign Relatives: Taiwan)

f5791229 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; Mean 0.4834123222748881; Max. 1.0; StDev 0.4997839928192821

Variable Format: numeric

Notes: UNF:6:fgZhEovl7X6Pdv8qiEIsGw==

RECODE of xeno_marriage_cn (Acceptance of Foreign Relatives: China)

f5791229 Location:

Summary Statistics: StDev 0.49977606984508205; Valid 4220.0; Mean 0.4831753554502375; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:lY1h9grJBRpowWGYy0MSCA==

RECODE of xeno_marriage_sa (Acceptance of Foreign Relatives: Southeast Asia)

f5791229 Location:

Summary Statistics: Min. 0.0; Valid 4220.0; Mean 0.482227488151659; StDev 0.49974325278466936; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:fVOF8w4mUFFEqsxX13PTNw==

RECODE of xeno_marriage_eu (Acceptance of Foreign Relatives: Europe)

f5791229 Location:

Summary Statistics: Mean 0.4834123222748882; Min. 0.0; StDev 0.4997839928192821; Max. 1.0; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:bWb7eCIN+GbPCDgyJ+cLoA==

RECODE of xeno_marriage_na (Acceptance of Foreign Relatives: North America)

f5791229 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 4220.0; Mean 0.48364928909953836; StDev 0.49979180328791595

Variable Format: numeric

Notes: UNF:6:BUqIGORp3tLlodvWDFoRBQ==

xeno_marriage_nonmiss

f5791229 Location:

Summary Statistics: Mean 2.899999999999938; Max. 6.0; Min. 0.0; StDev 2.99346685330715; Valid 4220.0

Variable Format: numeric

Notes: UNF:6:lkSqTxqp1pHECItr1SjnfQ==

xeno_marriage_tot

f5791229 Location:

Summary Statistics: Mean 1.526540284360198; StDev 2.2023725860666032; Min. 0.0; Valid 4220.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:3gQyIA0zK4orBGMn7HKm0Q==

xeno_marriage_avg

f5791229 Location:

Summary Statistics: Valid 2051.0; StDev 0.3702179098716716; Max. 1.0; Min. 0.0; Mean 0.5273362496592613;

Variable Format: numeric

Notes: UNF:6:1sROZmEMqPIytrvHyUtZbw==

cosmo_avg

f5791229 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 2015.0; Mean 0.5735428601928594; StDev 0.30753276899023047;

Variable Format: numeric

Notes: UNF:6:woDRMsHrZ1LOgdfKn4VIiA==

RECODE of industry (Industry)

f5791229 Location:

Value

Label

Frequency

Text

3.

Manufacturing

540

2.

Services

1855

4.

Government

99

1.

Primary

149

Summary Statistics: Min. 1.0; Mean 2.222852818766553; Valid 2643.0; Max. 4.0; StDev 0.6008257280973458

Variable Format: numeric

Notes: UNF:6:tJEtnRl235vgKwcFAcdgIQ==

manu_serv

f5791229 Location:

Summary Statistics: Min. 1.0; Max. 2.0; Mean 1.7745302713987479; StDev 0.41797855956418595; Valid 2395.0;

Variable Format: numeric

Notes: UNF:6:drfz8XCStwwXuoSWASOSPA==

mean_trade

f5791229 Location:

Summary Statistics: StDev 0.19452339850621964; Min. 3.9200000762939453; Valid 4220.0; Max. 5.0714287757873535; Mean 4.255914768788487

Variable Format: numeric

Notes: UNF:6:Me5/ccmRRGv4go0Xt8CNMw==

total_emp_glob

f5791229 Location:

Summary Statistics: StDev 16.797425192936316; Mean 24.224881516587693; Valid 4220.0; Min. 0.0; Max. 55.0

Variable Format: numeric

Notes: UNF:6:nXYIcr3PV7wcDGw64nnGEw==

total_emp

f5791229 Location:

Summary Statistics: Valid 4220.0; Max. 188.0; Min. 6.0; StDev 54.553083464862304; Mean 91.87417061611376;

Variable Format: numeric

Notes: UNF:6:SKU1VJuPQfWTDZb6rR1Tjw==

emp_glob_pct

f5791229 Location:

Summary Statistics: Max. 0.4615384638309479; Valid 4220.0; Mean 0.2522554720394419; StDev 0.09023115343624831; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:ENJR/BYy8h3Z7BCEBjTo/g==

Occupation

f5791234 Location:

Summary Statistics: Valid 5276.0; Mean 494.71588324488243; Min. 5.0; StDev 200.2624775784847; Max. 975.0

Variable Format: numeric

Notes: UNF:6:dYQcvXhyR2adOgPwEyzb8w==

occ1990dd

f5791234 Location:

Summary Statistics: Valid 5276.0; Min. 8.0; Max. 889.0; StDev 200.2702292771; Mean 378.7655420773319;

Variable Format: numeric

Notes: UNF:6:3Fe54xaC8nmdut9B07KBkQ==

job_description

f5791234 Location:

Variable Format: character

Notes: UNF:6:MWGP9WRGY87brDVPYQgCiw==

ISCO88 4 digit

f5791234 Location:

Summary Statistics: Min. 110.0; Valid 8334.0; StDev 2356.9231652132494; Mean 5483.104271658286; Max. 9333.0;

Variable Format: numeric

Notes: UNF:6:HK7OKMTsbJBtYNo6K7Z/+Q==

task_offshorability

f5791234 Location:

Summary Statistics: Valid 36716.0; Mean 0.42210096059074464; Max. 2.68599271774292; Min. -3.154930591583252; StDev 1.4022487371823114

Variable Format: numeric

Notes: UNF:6:t2QL6C/3uZn1IfmDPY9ffA==

task_abstract

f5791234 Location:

Summary Statistics: Valid 5276.0; Min. 0.04155910015106201; Max. 9.002079963684082; Mean 2.261744553902498; StDev 1.6739786127779417

Variable Format: numeric

Notes: UNF:6:RPnQwFx3Fd4yl6Wf1tYooQ==

task_routine

f5791234 Location:

Summary Statistics: Min. 1.25; Max. 8.536230087280273; Valid 36716.0; Mean 3.8644270441289037; StDev 1.942111143393859

Variable Format: numeric

Notes: UNF:6:ddYF2C6XBOea5llYEpWaxw==

task_manual

f5791234 Location:

Summary Statistics: Mean 1.1358325150227533; Max. 6.167675495147705; StDev 1.2297422835376879; Valid 5276.0; Min. 1.000000013351432E-10;

Variable Format: numeric

Notes: UNF:6:njM8Y2I7/3uO3GS5Gmwcbg==

count

f5791234 Location:

Summary Statistics: Valid 5276.0; StDev 0.0; Mean 1.0; Min. 1.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:fTOdcL1Q2PjYHsbZ+YjWcg==

RTI

f5791234 Location:

Summary Statistics: Mean 1.3343260163752675; Max. 25.651355743408203; Min. -2.231675148010254; StDev 2.6791645564207602; Valid 5276.0

Variable Format: numeric

Notes: UNF:6:FDOE84NfgD6xbJVMChEQow==

pref_name

f5791234 Location:

Variable Format: character

Notes: UNF:6:GMOQ3x3C3uCftvkzahklPg==

ind_code

f5791234 Location:

Summary Statistics: Mean 17.15152879947955; Min. 1.0; Max. 23.0; Valid 19983.0; StDev 6.801057821288507

Variable Format: numeric

Notes: UNF:6:Z1Pxz0Fs91YRO550Ot/9cg==

ind_text

f5791234 Location:

Variable Format: character

Notes: UNF:6:fmshDOEZzWMd7ZkUkHPqPA==

RTFPir

f5791234 Location:

Summary Statistics: Valid 9796.0; StDev 0.16388081515195996; Mean 0.028720090262446013; Max. 0.777999997138977; Min. -0.9710000157356262

Variable Format: numeric

Notes: UNF:6:W6eQKnvTtCdbmvu4rYokdg==

TFP

f5791234 Location:

Summary Statistics: Min. -0.14454182982444763; Max. 0.3323889672756195; Mean 0.05962804295395995; StDev 0.0958667903429048; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:kGi+zJggu0f4HSqj8Zi62Q==

labor_prod

f5791234 Location:

Summary Statistics: Min. -0.164000004529953; Valid 39860.0; Max. 0.39899998903274536; Mean 0.0967540132038904; StDev 0.12183462771050317;

Variable Format: numeric

Notes: UNF:6:otkDCrNyRItt2vrXYGkciw==

Sequential Record Identifier (Added by ICPSR)

f5791234 Location:

Summary Statistics: Mean 2098.6904164576013; Min. 1.0; StDev 1215.8808906892089; Max. 4220.0; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:ufJRM52tj4kAQXEPwlpJgQ==

Regional Block

f5791234 Location:

Value

Label

Frequency

Text

2.

Kanto

11120

5.

Cyugoku or Shikoku

4087

4.

Kinki

5867

6.

Kyusyu

4928

3.

Chubu

8445

1.

Hokkaido or Tohoku

5413

Summary Statistics: Mean 3.172579026593078; Min. 1.0; Max. 6.0; Valid 39860.0; StDev 1.569227819542017

Variable Format: numeric

Notes: UNF:6:WOFq0U7KlTdC3bT7CT6Xng==

Prefecture Name

f5791234 Location:

Value

Label

Frequency

Text

40.

Fukuoka

1702

29.

Nara

502

7.

Fukushima

548

9.

Tochigi

852

43.

Kumamoto

389

24.

Mie

686

37.

Kagawa

398

16.

Toyama

436

3.

Iwate

414

38.

Ehime

354

11.

Saitama

1955

8.

Ibaraki

962

47.

Okinawa

433

41.

Saga

176

13.

Tokyo

2632

39.

Kochi

378

19.

Yamanashi

355

10.

Gunma

667

20.

Nagano

778

15.

Niigata

1109

25.

Shiga

465

35.

Yamaguchi

653

18.

Fukui

362

6.

Yamagata

477

32.

Shimane

99

1.

Hokkaido

2017

17.

Ishikawa

434

42.

Nagasaki

612

5.

Akita

346

4.

Miyagi

1029

27.

Osaka

2296

14.

Kanagawa

2303

31.

Tottori

211

30.

Wakayama

234

26.

Kyoto

830

23.

Aichi

2223

44.

Oita

623

22.

Shizuoka

1377

46.

Kagoshima

635

45.

Miyazaki

358

33.

Okayama

780

2.

Aomori

582

36.

Tokushima

388

34.

Hiroshima

826

21.

Gifu

685

12.

Chiba

1749

28.

Hyogo

1540

Summary Statistics: StDev 12.520368898409515; Max. 47.0; Min. 1.0; Valid 39860.0; Mean 20.92360762669344;

Variable Format: numeric

Notes: UNF:6:BPtA12wbXxNHOD11oxjhCQ==

Size of Municipality

f5791234 Location:

Value

Label

Frequency

Text

4.

Town/village

5086

3.

Cities with population of less than 200000

16790

1.

Largest cities

8090

2.

Cities with population of 200000 or more

9894

Summary Statistics: StDev 0.9541657161337569; Mean 2.473457099849473; Valid 39860.0; Min. 1.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:D1vfi28XCxEhzzIubruvRA==

Is R Female

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

21754

0.

No

18106

Summary Statistics: Valid 39860.0; Min. 0.0; Max. 1.0; StDev 0.4979078501887819; Mean 0.5457601605619652

Variable Format: numeric

Notes: UNF:6:Cv3ZzPFwNTpLaD8pxWA2Xg==

Age

f5791234 Location:

Value

Label

Frequency

Text

4.

50-59 years

7811

7.

80-89 years

1862

2.

30-39 years

6001

5.

60-69 years

8113

6.

70-79 years

6288

3.

40-49 years

6175

1.

20-29 years

3610

Summary Statistics: Max. 7.0; Valid 39860.0; Mean 3.9314601103863747; Min. 1.0; StDev 1.6800500822065305;

Variable Format: numeric

Notes: UNF:6:yZ7Lm04OElfEzlci0vUqKA==

Form of Self-administrated Questionnaire

f5791234 Location:

Value

Label

Frequency

Text

2.

Form B

17200

1.

Form A

22660

Summary Statistics: Min. 1.0; Valid 39860.0; StDev 0.49529315914888117; Mean 1.431510286001008; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:WPV2G+HDb5Vq/T7oEVCSuA==

Employed?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

22821

0.

No

17039

Summary Statistics: Max. 1.0; Mean 0.5725288509784325; Min. 0.0; Valid 39860.0; StDev 0.49471780431761

Variable Format: numeric

Notes: UNF:6:uhwnp5C5Sp4Oh7plqJ1/fg==

Work Arrangement

f5791234 Location:

Value

Label

Frequency

Text

2.

Regular employee

11569

5.

Self-employed

2736

7.

Don't know

22

4.

Dispatched worker from temporary personnel agency

426

8.

Not applicable

17039

6.

Family worker

1364

1.

Executive of a company or a corporation

1426

9.

No answer

0

3.

Temporary worker

5278

Summary Statistics: Valid 39860.0; Mean 5.028399397892595; Max. 8.0; Min. 1.0; StDev 2.758253862763594

Variable Format: numeric

Notes: UNF:6:O0PxA+jt7rjwPRpu+KAIPA==

Job Title

f5791234 Location:

Value

Label

Frequency

Text

6.

Other managerial post

132

9.

No answer

121

8.

Not applicable

28291

1.

No managerial post

7184

4.

Section Head, Manager

1329

2.

Group leader, Foreman

907

7.

Don't know

66

3.

Sub-section Head

1284

5.

Department Head, General Manager

546

Summary Statistics: Min. 1.0; Max. 9.0; Valid 39860.0; Mean 6.261088810837947; StDev 2.847257091619832

Variable Format: numeric

Notes: UNF:6:Ud6+On5VL12QPSwQqMcFBw==

Category of Establishment

f5791234 Location:

Value

Label

Frequency

Text

3.

Branch establishment

6225

2.

Independent establishment

10089

1.

Government agency

2563

5.

Don't know

660

9.

No answer

407

4.

Headquarters or main establishment

2877

8.

Not applicable

17039

Summary Statistics: Min. 1.0; StDev 2.8299158040027814; Max. 9.0; Mean 4.922202709483179; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:ss9HTm2CZwWTRiG/7rfjeQ==

Industry

f5791234 Location:

Value

Label

Frequency

Text

140.

Medical and welfare services

2464

130.

Information and communication services

566

40.

Mining

22

20.

Forestry

34

150.

Educational and research services

1233

60.

Manufacturing

4740

70.

Electricity, gas, steam supply, water works

185

10.

Agriculture

1337

50.

Construction

1438

92.

Retail trade

2723

999.

No answer

0

80.

Transportation

1166

100.

Financial institutions, insurance

405

30.

Fishery

176

190.

Industries not elsewhere classified

124

110.

Real estate

258

998.

Not applicable

0

93.

Restaurants

881

180.

Public administration

1089

120.

Broadcasting, publishing, advertising, film production

206

160.

Legal and accounting services

167

91.

Wholesale trade

736

170.

Other services

2717

Summary Statistics: Valid 22667.0; Max. 190.0; Min. 10.0; StDev 48.6243617440967; Mean 100.91520712930698

Variable Format: numeric

Notes: UNF:6:KEqkNhHv6XgbnBQG/NhJiA==

Occupation

f5791234 Location:

Value

Label

Frequency

Text

588.

Other personal service workers

0

526.

Other educational professionals

0

661.

Painters, drawers, signboard makers

125

501.

Researchers in natural science

22

629.

Chemical product makers

134

530.

Sculptors, artistic painters, industrial artists

33

677.

Electricity/telephone construction workers

94

609.

Ship engine drivers (excluding fishing boat)

0

604.

Fishery workers

143

554.

General affairs/planning clerks

2866

540.

Real estate appraisers

0

650.

Bleachers, dyers

23

600.

Gardeners, landscape gardeners

103

551.

Station masters

0

571.

Recyclable resource wholesalers/collectors

1

617.

Telephone operators

2

595.

Firefighters

56

683.

Railway track layers

0

637.

Ship riggers (not elsewhere classified)

0

573.

Door-to-door sales (excluding insurance and real estate)

803

532.

Photographers

0

502.

Researchers in humanities

0

548.

Chief executives

287

602.

Forestry workers

12

676.

Power station/substation workers

1

547.

Local parliament members

11

589.

Inn owners/managers, hotel managers

22

626.

Other ceramic/earthen/stoneware makers

0

545.

Senior government officials

55

515.

Masseurs, acupuncturists, moxibustionists, chiropractors

55

567.

Wholesale shop owners

56

523.

High school teachers

143

705.

Company employees (not further specified)

0

577.

Other sales and sales-related workers

103

560.

Postal/communication clerks

78

590.

Boarding house/apartment/residence/dormitory superintendents

115

632.

Metal soldering workers

67

631.

Iron workers, sheet metal makers

78

679.

Plasterers, scaffolding builders

90

651.

Tailors (including kimono tailors)

55

643.

Grain refining/flour milling machine operators

0

647.

Alcoholic beverage makers

11

668.

Bag makers

11

678.

Construction work contractors

58

538.

Social welfare service professionals

134

521.

Elementary school teachers

264

578.

Housemaids, housekeeping service workers

425

638.

Aircraft assemblers/aircraft engine mechanics

12

616.

Wire operators

0

575.

Real estate agents/traders

73

516.

Other health care professionals

297

640.

Other transportation vehicle assemblers/maintenance workers

22

627.

Pig iron/steel makers, smelters

55

654.

Cabinet makers, furniture makers, joiners

79

510.

Pharmacists

68

653.

Sawmill operators, woodworkers

68

580.

Launderers

55

675.

Other stationary engine operators

55

512.

Public health nurses

1

612.

Railway workers

0

569.

Shop salespersons

1011

703.

Teachers (not further specified)

110

986.

No occupation

0

570.

Peddlers, hawkers, street stall keepers

22

525.

Teachers for the blind, the deaf, and/or the handicapped

44

665.

Precious metal/jewelry/tortoise shell/animal horn workers

0

593.

Self Defense Force officials

22

655.

Shipwrights

0

674.

Crane/construction machine operators

56

689.

Occupations not elsewhere classified

44

576.

Pawnshop owners/clerks

0

644.

Bakers, cake/noodle/tofu makers

157

597.

Other protective service workers

34

611.

Conductors

1

608.

Ships captains/navigators (not of fishing boat), boat pilots

11

659.

Rubber/plastic goods makers

72

670.

Drafters, technical drawers

56

672.

Other technical workers/production process workers

260

517.

Judges, public prosecutors, lawyers

0

585.

Club hosts/club hostesses

33

534.

Actors, dancers (excluding private instructors)

13

583.

Waiters/waitresses

394

634.

Electric machine and instrument assemblers/repairers

564

531.

Designers

34

690.

Landowners (before the Agrarian Reform)

0

562.

Other outside-duty clerks

44

660.

Shoe makers/repairers, leather/leather goods makers

34

645.

Miso/soy sauce/canned food/dairy product makers, food makers

554

558.

Other office clerks

207

667.

Umbrella makers

0

520.

Kindergarten teachers

55

599.

Agricultural/sericultural workers

1158

702.

Carpenters

196

685.

Warehouse keepers, dockers

180

621.

Stone cutters

11

684.

Work site foremen, other construction workers

156

528.

Authors and writers

0

618.

Mail carriers, telegraph deliverers

47

607.

Automobile drivers

768

549.

Senior officials of special-interest organizations

11

639.

Bicycle assemblers/maintenance workers

0

546.

Diet members

0

636.

Railway car assemblers/repairers

1

628.

Founders, casters, metal material makers

1

504.

Architectural and civil engineers

171

594.

Police officers, Coast Guards and railroad security officers

77

603.

Other agricultural and forestry workers

0

688.

Miscellaneous laborers

182

533.

Musicians (excluding private music instructors)

22

511.

Midwives

1

579.

Barbers, hairdressers, beauticians

230

557.

Sales clerks

357

615.

Radio operators

0

663.

Mounters, liners

44

535.

Professional athletes (excluding private sports instructors)

11

614.

Other transportation workers

45

701.

Supermarket and other shop cashiers

89

591.

Fashion models

0

686.

Transportation laborers

205

503.

Mechanical, electrical and chemical engineers

296

656.

Bucket makers, wood/bamboo/leaf/vine product makers

33

565.

Computer and other similar equipment operators

57

687.

Garbage collectors

395

682.

Building construction laborers

174

505.

Agricultural and forestry engineers

0

561.

Bill collectors

25

550.

Managers in companies/organizations

289

605.

Fishing boat captains/navigators/engine drivers

11

539.

Private instructors

135

509.

Dentists

23

657.

Paper/paper device/pulp/paper goods makers

77

613.

Sailors

1

622.

Other quarry workers

0

606.

Train drivers/locomotive drivers

23

681.

Tatami mat makers/layers

22

582.

Bartenders

0

998.

Not applicable

0

506.

Information technology engineers

267

633.

General mechanical equipment assemblers/repairers

546

999.

No answer

0

673.

Boiler technicians, boilermen

14

658.

Printers, book binders

135

704.

Manufacturing workers (not further specified)

78

592.

Other service workers

215

648.

Silk mill operators and spinners

23

624.

Stone masons

0

598.

(pre-war) Professional military service persons

0

671.

Projectionists

0

691.

Nominal company executives

0

630.

Metal machine tool makers, platers, metal processors

223

543.

Librarians

11

572.

Merchandise intermediary occupations

11

555.

Receptionists/information clerks

237

566.

Retail shop owners

362

563.

Transportation clerks

44

641.

Watch assemblers/repairers

1

649.

Textile and weaving machine operators

33

625.

Glass/cement goods makers

11

536.

Veterinarians

11

559.

Accounting clerks

639

524.

University professors

69

664.

Japanese-style umbrella/lantern/fan makers

0

527.

Religious professionals

47

508.

Medical doctors (physicians)

83

553.

Other managerial occupations

101

586.

Entertainment facility service workers

90

518.

Other legal professionals

22

662.

Lacquer painters, gold lacquer painters

11

507.

Other engineers and technicians

55

537.

Nursery school teachers

235

666.

Seal carvers

0

514.

Nurses

511

635.

Automobile assemblers/automobile mechanics

295

568.

Restaurant owners

128

680.

Bricklayers, pipe layers

90

642.

Optical machine/precision machine assemblers/repairers

55

541.

Business management consultants

25

623.

Potters, pottery painters

11

646.

Tobacco makers

11

574.

Insurance agents/door-to-door insurance sales persons

97

587.

Tour guides

0

652.

Sewers, cutters

134

619.

Other communication workers

0

669.

Toy makers

1

519.

Certified public accountants, tax accountants

23

552.

Postmasters, telegraph/telephone office chiefs

1

513.

Dieticians

12

556.

Shipping/sorting clerks

81

529.

Journalists/reporters, editors

67

544.

Other professional/technical occupations

89

610.

Aircraft pilots, flight navigators, flight engineers

11

522.

Junior high school teachers

89

596.

Prison guards, gatekeepers

70

564.

Stenographers, typists, data-entry clerks

44

620.

Miners, coal miners

0

581.

Cooks

527

584.

Flight attendants

0

601.

Livestock farming workers

99

542.

Radio and television announcers

0

Summary Statistics: Min. 501.0; Valid 22722.0; Max. 704.0; Mean 588.717894551536; StDev 51.628423483134675;

Variable Format: numeric

Notes: UNF:6:WJfOeIoq/7lwmlHmfdxmqA==

How many people work at employer?

f5791234 Location:

Value

Label

Frequency

Text

12.

Government agency

0

2.

2-4

3506

13.

Don't know

0

3.

5-9

1815

11.

10,000 or over

913

4.

10-29

2984

88.

Not applicable

0

5.

30-99

2865

6.

100-299

2307

9.

1,000-1,999

839

8.

500-999

847

99.

No answer

0

1.

1

1120

7.

300-499

842

10.

2,000-9,999

942

Summary Statistics: Mean 4.919072708113804; Min. 1.0; Max. 11.0; Valid 18980.0; StDev 2.742373429716233

Variable Format: numeric

Notes: UNF:6:kqEa8FJH+epUiPX2vVqg9A==

Joining Labor Union

f5791234 Location:

Value

Label

Frequency

Text

8.

Not applicable

17039

9.

No answer

187

3.

I am not a member of any labor union.

17945

1.

I am a member of a labor union at my workplace.

3860

2.

I am a member of a labor union outside of my workplace.

369

4.

Don't know

460

Summary Statistics: StDev 2.714203445911133; Max. 9.0; Min. 1.0; Valid 39860.0; Mean 4.974109382839968

Variable Format: numeric

Notes: UNF:6:6jsP6uUEA0S3vCyfuGF+FA==

Satisfaction with Your Job

f5791234 Location:

Value

Label

Frequency

Text

5.

Dissatisfied

707

2.

Somewhat satisfied

8958

9.

No answer

22

4.

Somewhat dissatisfied

1670

1.

Satisfied

5936

8.

Not applicable

17039

6.

Don't know

33

3.

Neither satisfied nor dissatisfied

5495

Summary Statistics: Mean 4.697942799799307; Max. 9.0; Valid 39860.0; StDev 2.9605026453003025; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:x/NiykFKqkS+FuK+VKHV7w==

Possibility of Loosing Your Job

f5791234 Location:

Value

Label

Frequency

Text

5.

Don't know

1760

1.

Very likely

620

2.

Fairly likely

2653

3.

Not too likely

6321

4.

Not at all likely

11445

9.

No answer

22

8.

Not applicable

17039

Summary Statistics: Max. 9.0; Min. 1.0; Valid 39860.0; Mean 5.418439538384367; StDev 2.334621819825889

Variable Format: numeric

Notes: UNF:6:zUlyL2Xswtqg9HSTDEauiw==

Does employer import goods?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

3708

0.

No

18749

Summary Statistics: Valid 22457.0; Max. 1.0; StDev 0.3712930738913583; Mean 0.16511555417019175; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vcb3g2cGUeqGVO8waIK08A==

Does employer export goods?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

2343

0.

No

20114

Summary Statistics: Valid 22457.0; Mean 0.10433272476288011; Max. 1.0; Min. 0.0; StDev 0.3056984930652035;

Variable Format: numeric

Notes: UNF:6:1LOkoMG+f7YXydJXWeg03A==

Does employer produce goods overseas?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

1487

0.

No

20970

Summary Statistics: Mean 0.0662154339404196; Valid 22457.0; StDev 0.24866383668555855; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:5OOxl0fM8To1qLbK/vuM3w==

Employer not part of global supply chain

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

16961

0.

No

5496

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.42993917601695764; Mean 0.7552656187380327; Valid 22457.0

Variable Format: numeric

Notes: UNF:6:xRnQLaDmLvrlui+6cMX/OA==

Last School Respondent Attended

f5791234 Location:

Value

Label

Frequency

Text

8.

Junior high school

5245

14.

Don't know

0

10.

College of technology

1383

9.

High school

16546

4.

Vocational school/Commerce school in the old system

254

2.

Higher elementary school in the old system

1090

13.

Graduate school

535

12.

University

6647

3.

Junior high school/Girls' high school in the old system

1322

11.

2-year college

3524

99.

No answer

0

6.

Higher school or vocational school in the old system

254

5.

Normal school in the old system

33

7.

University/Graduate school in the old system

121

1.

Ordinary elementary school in the old system

585

Summary Statistics: Mean 9.069767441860478; Min. 1.0; Max. 13.0; StDev 2.5127639376097566; Valid 37539.0

Variable Format: numeric

Notes: UNF:6:cQU7HJwThcnKKPULQSOSLg==

Completion of the Last School

f5791234 Location:

Value

Label

Frequency

Text

0.

No

1903

1.

Yes

37858

Summary Statistics: Max. 1.0; StDev 0.21347468946984732; Valid 39761.0; Min. 0.0; Mean 0.9521390307084828;

Variable Format: numeric

Notes: UNF:6:k7NotgYup+4cC7NLLTJkpQ==

Type of Residential Area

f5791234 Location:

Value

Label

Frequency

Text

9.

No answer

0

5.

Farming/fishing village

7739

2.

Area where a number of stores and offices are located

4421

6.

Other

846

4.

New residential area after the war

14615

3.

Old residential area from the pre-war period

11403

1.

Area where a number of factories are located

413

Summary Statistics: Min. 1.0; StDev 1.0101834845147721; Valid 39437.0; Max. 6.0; Mean 3.694373304257422;

Variable Format: numeric

Notes: UNF:6:e44SoLxPYpmh61S5OAOXYQ==

Comparison of Household Income with Others at Age 15

f5791234 Location:

Value

Label

Frequency

Text

2.

Below average

10656

9.

No answer

0

3.

Average

18125

4.

Above average

5957

5.

Far above average

947

1.

Far below average

4101

Summary Statistics: Max. 5.0; Mean 2.7233448951892623; Min. 1.0; Valid 39786.0; StDev 0.921171768839903

Variable Format: numeric

Notes: UNF:6:2lkZ6NXbPx+Yx38fVXxs/w==

Class Rank in the Senior of Junior High School

f5791234 Location:

Value

Label

Frequency

Text

4.

Relatively high

9229

3.

About in the middle

16308

5.

High

5392

1.

Low

2640

2.

Relatively low

6264

9.

No answer

0

Summary Statistics: Min. 1.0; Valid 39833.0; Mean 3.212612657846511; StDev 1.0725395178219737; Max. 5.0

Variable Format: numeric

Notes: UNF:6:WoPChgr3u8ksC0f7rH6DMg==

Agree with Government Redistribution

f5791234 Location:

Value

Label

Frequency

Text

1.

Strongly Disagree

643

2.

Somewhat Disagree

1760

5.

Agree

11822

3.

Neither agree nor Disagree

12775

4.

Somewhat Agree

12841

Summary Statistics: Valid 39841.0; Min. 1.0; Mean 3.839311262267512; StDev 0.9557907256144531; Max. 5.0

Variable Format: numeric

Notes: UNF:6:+5Yzp/EozcI6++ZmTvgEzA==

Political Support

f5791234 Location:

Value

Label

Frequency

Text

1.

Liberal Democratic Party

9107

9.

No answer

286

3.

New Komeito

1549

5.

Social Democratic Party

564

8.

Don't know

3520

4.

Japanese Communist Party

632

6.

Other

88

2.

Democratic Party of Japan

6820

7.

There is no particular party I support.

17294

Summary Statistics: Max. 9.0; StDev 2.8083189006242777; Valid 39860.0; Min. 1.0; Mean 4.642799799297544

Variable Format: numeric

Notes: UNF:6:dhYuBpHyHEdei8hbTaxcEw==

Emotional closeness to town or city of residence

f5791234 Location:

Value

Label

Frequency

Text

1.

Not at all close

615

3.

Somewhat close

22722

4.

Very close

10952

2.

Not so close

3507

Summary Statistics: Mean 3.1644353899883595; Min. 1.0; StDev 0.6485461378360182; Valid 37796.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:WyEHrCs97WdeJEo0gjAtUQ==

Acceptance of Foreign Co-workers: China

f5791234 Location:

Value

Label

Frequency

Text

0.

No

5816

1.

Yes

10141

Summary Statistics: Valid 15957.0; Max. 1.0; StDev 0.4812989940203949; Min. 0.0; Mean 0.6355204612395817

Variable Format: numeric

Notes: UNF:6:D1D+SvM8KXfGtfI4O4lxXQ==

Acceptance of Foreign Co-workers: South Korea

f5791234 Location:

Value

Label

Frequency

Text

0.

No

5122

1.

Yes

10801

Summary Statistics: Min. 0.0; Max. 1.0; Valid 15923.0; StDev 0.4671329615188319; Mean 0.6783269484393658;

Variable Format: numeric

Notes: UNF:6:nqFh8czi1PYgTal4S4Fdgg==

Acceptance of Foreign Co-workers: Taiwan

f5791234 Location:

Value

Label

Frequency

Text

0.

No

4749

1.

Yes

11139

Summary Statistics: Mean 0.7010951661631417; Max. 1.0; Valid 15888.0; StDev 0.45779244735041985; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:lgkO8EZR4mcQ3t8kRi/5zA==

Acceptance of Foreign Co-workers: Southeast Asia

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10682

0.

No

5149

Summary Statistics: Mean 0.674752068725918; Min. 0.0; Max. 1.0; Valid 15831.0; StDev 0.4684822068494897;

Variable Format: numeric

Notes: UNF:6:d6WdTUglt2/60QMYJUCJjw==

Acceptance of Foreign Co-workers: Europe

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

11626

0.

No

4240

Summary Statistics: StDev 0.4425316371542697; Min. 0.0; Valid 15866.0; Mean 0.732761880751293; Max. 1.0

Variable Format: numeric

Notes: UNF:6:JXoT5CLOm2xPfzsPZOD/Cg==

Acceptance of Foreign Co-workers: North America

f5791234 Location:

Value

Label

Frequency

Text

0.

No

4171

1.

Yes

11728

Summary Statistics: StDev 0.43992224461100754; Mean 0.7376564563809048; Min. 0.0; Valid 15899.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:Zm/Bxz9C6VNs+S/t5rxkTw==

Acceptance of Foreign Neighbors: China

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

9843

0.

No

6189

Summary Statistics: StDev 0.4868552131955747; Max. 1.0; Min. 0.0; Valid 16032.0; Mean 0.6139595808383216;

Variable Format: numeric

Notes: UNF:6:oe9odXg0iDLAfxE7zpSiMA==

Acceptance of Foreign Neighbors: South Korea

f5791234 Location:

Value

Label

Frequency

Text

0.

No

5311

1.

Yes

10722

Summary Statistics: Mean 0.6687457119690623; Min. 0.0; Valid 16033.0; StDev 0.470678980157364; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:jLg70/Ph+eo2BvSaz9mYOg==

Acceptance of Foreign Neighbors: Taiwan

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10920

0.

No

5100

Summary Statistics: Mean 0.681647940074907; Valid 16020.0; StDev 0.46585144899577136; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:0AKQaD4ap1qgOFqoUdDLkw==

Acceptance of Foreign Neighbors: Southeast Asia

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10308

0.

No

5657

Summary Statistics: Min. 0.0; Valid 15965.0; StDev 0.47832708507585836; Max. 1.0; Mean 0.6456623864704025

Variable Format: numeric

Notes: UNF:6:3Mlf+f9E5LeeKYy7tvtHWg==

Acceptance of Foreign Neighbors: Europe

f5791234 Location:

Value

Label

Frequency

Text

0.

No

4440

1.

Yes

11548

Summary Statistics: Max. 1.0; Valid 15988.0; Mean 0.7222917187890904; StDev 0.4478827286261718; Min. 0.0

Variable Format: numeric

Notes: UNF:6:qt14rgGT3MotsewM61WpLQ==

Acceptance of Foreign Neighbors: North america

f5791234 Location:

Value

Label

Frequency

Text

0.

No

4350

1.

Yes

11682

Summary Statistics: Valid 16032.0; Mean 0.7286676646706589; Max. 1.0; StDev 0.44466103065426343; Min. 0.0

Variable Format: numeric

Notes: UNF:6:bQhPj0nyaJtJZEdAByXBAA==

Acceptance of Foreign Relatives: China

f5791234 Location:

Value

Label

Frequency

Text

0.

No

7193

1.

Yes

8696

Summary Statistics: Mean 0.5472968720498443; Valid 15889.0; StDev 0.49777364357960124; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:azhnYmBg/jjzCoxlrmhKig==

Acceptance of Foreign Relatives: South Korea

f5791234 Location:

Value

Label

Frequency

Text

0.

No

6674

1.

Yes

9239

Summary Statistics: StDev 0.49347728680406805; Min. 0.0; Max. 1.0; Valid 15913.0; Mean 0.5805944824985881

Variable Format: numeric

Notes: UNF:6:JM3B7dIp3ygbhQDRn27HiA==

Acceptance of Foreign Relatives: Taiwan

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

9522

0.

No

6368

Summary Statistics: Valid 15890.0; Min. 0.0; Mean 0.5992448080553807; Max. 1.0; StDev 0.49006691617931

Variable Format: numeric

Notes: UNF:6:s296SpQqfxryo3LUd79goQ==

Acceptance of Foreign Relatives: Southeast Asia

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

8920

0.

No

6915

Summary Statistics: StDev 0.495991421626016; Max. 1.0; Min. 0.0; Mean 0.5633091253552257; Valid 15835.0

Variable Format: numeric

Notes: UNF:6:aqXkuItAJRconi0sM51IFw==

Acceptance of Foreign Relatives: Europe

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10492

0.

No

5398

Summary Statistics: StDev 0.4736257979243427; Max. 1.0; Min. 0.0; Valid 15890.0; Mean 0.6602894902454366

Variable Format: numeric

Notes: UNF:6:ltoA4cTJ34+tYM3/4MaAQg==

Acceptance of Foreign Relatives: North America

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10619

0.

No

5282

Summary Statistics: Mean 0.6678196339852848; Max. 1.0; Min. 0.0; Valid 15901.0; StDev 0.4710101086332246;

Variable Format: numeric

Notes: UNF:6:8HlCZ5Va32lhPUeRCn3HRQ==

Views on the Restriction of Foreign Products

f5791234 Location:

Value

Label

Frequency

Text

4.

Neither agree nor disagree

8190

8.

Not applicable

22660

2.

Agree

1949

5.

Somewhat disagree

1753

9.

No answer

99

6.

Disagree

783

3.

Somewhat agree

3634

1.

Strongly agree

547

7.

Strongly disagree

245

Summary Statistics: Min. 1.0; StDev 2.2559761654547756; Max. 9.0; Mean 6.157952834922242; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:yHCiOdg8yPKSkal0P+VOHw==

Should follow national interest even if it leads to conflicts with other nations

f5791234 Location:

Value

Label

Frequency

Text

5.

Somewhat Agree

10177

6.

Agree

4943

2.

Disagree

1444

4.

Neither Agree nor Disagree

16611

7.

Strongly Agree

1107

3.

Somewhat Disagree

3159

1.

Strongly Disagree

348

Summary Statistics: StDev 1.0907066684970492; Mean 4.431157215062585; Min. 1.0; Max. 7.0; Valid 37789.0

Variable Format: numeric

Notes: UNF:6:dqUARu2RMc5Q8q9phFcShQ==

Views on Globalization: Job Opportunity for Workers in Japan

f5791234 Location:

Value

Label

Frequency

Text

6.

Bad

1257

4.

Neither good nor bad

5586

2.

Good

1876

99.

No answer

253

3.

Somewhat good

2836

88.

Not applicable

22660

8.

Can't choose

2189

5.

Somewhat bad

2524

1.

Very good

337

7.

Very bad

342

Summary Statistics: StDev 41.40293838226664; Min. 1.0; Max. 99.0; Valid 39860.0; Mean 52.53728048168497

Variable Format: numeric

Notes: UNF:6:Bv2AtdTP2+bm4WOiHWI+Bg==

Does R work for foreign capital company?

f5791234 Location:

Value

Label

Frequency

Text

0.

No

16262

1.

Yes

84

Summary Statistics: StDev 0.0715036829505112; Max. 1.0; Mean 0.0051388718952652505; Valid 16346.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:yLsOjm6n6XJfRTMQAiTrbw==

Weight

f5791234 Location:

Summary Statistics: StDev 5172.404801966456; Valid 39860.0; Max. 36734.0; Min. 18823.0; Mean 23946.105117912706;

Variable Format: numeric

Notes: UNF:6:1IF+H8IhjvXEAW/E3c7ifQ==

Consolidated Job Type

f5791234 Location:

Summary Statistics: Mean 2.8056493705864316; Max. 6.0; Min. 1.0; Valid 22799.0; StDev 1.325547660969982

Variable Format: numeric

Notes: UNF:6:zsA9S/WlElphnbwNJQYBpQ==

RECODE of job_type

f5791234 Location:

Value

Label

Frequency

Text

1.

Executive

1426

2.

Regular Employee

11569

3.

Temporary Worker

5704

4.

Self-Employed or Family Worker

4100

Summary Statistics: Max. 4.0; StDev 0.8558928081762586; Min. 1.0; Mean 2.54730470634677; Valid 22799.0

Variable Format: numeric

Notes: UNF:6:hmZwI8GADmqjcTpS5i469A==

Is R a Temp worker?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

10073

0.

No

28236

Summary Statistics: StDev 0.44023630679133485; Mean 0.26294082330522833; Valid 38309.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:kqm09yr09zFCwEP1yt7EIA==

Level of management responsibility

f5791234 Location:

Value

Label

Frequency

Text

2.

Group leader, Foreman

907

1.

No managerial post

12888

6.

Executive

1426

4.

Section Head, Manager

1329

5.

Department Head, General Manager

546

3.

Sub-section head

1284

Summary Statistics: Mean 1.912731229597391; StDev 1.600472291621102; Min. 1.0; Max. 6.0; Valid 18380.0;

Variable Format: numeric

Notes: UNF:6:lO09j4PN3FwznFBCQcwvug==

RECODE of mgmt_resp (Level of management responsibility)

f5791234 Location:

Summary Statistics: Mean 0.2478771359681314; StDev 0.4317857659316253; Min. 0.0; Max. 1.0; Valid 38156.0

Variable Format: numeric

Notes: UNF:6:2RzZUd6WTvbQKXhnD/SrBw==

How satisfied are you with your job?

f5791234 Location:

Value

Label

Frequency

Text

2.

Somewhat dissatisfied

2742

4.

Somewhat satisfied

15183

1.

Dissatisfied

1208

5.

Satisfied

10074

3.

Neither satisfied nor dissatisfied

9099

Summary Statistics: Valid 38306.0; StDev 1.0127271165588967; Max. 5.0; Min. 1.0; Mean 3.787683391635775

Variable Format: numeric

Notes: UNF:6:yjL6UR5Gj0dBj1qWdAG4Dg==

Workplace type

f5791234 Location:

Value

Label

Frequency

Text

3.

Branch establishment

6225

1.

Government agency

2563

4.

Headquarters or main establishment

2877

2.

Independent establishment

10089

Summary Statistics: Min. 1.0; Valid 21754.0; Mean 2.4328399374827603; Max. 4.0; StDev 0.8635170575431956

Variable Format: numeric

Notes: UNF:6:bkjKBDulOs+YKklALrgAJQ==

Employed at headquarters of employer

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

25541

0.

No

12440

Summary Statistics: Mean 0.6724678128537948; Max. 1.0; StDev 0.46931935050864465; Min. 0.0; Valid 37981.0

Variable Format: numeric

Notes: UNF:6:x9mofJvye8p6T+jrybVmEQ==

Does R work in manufacturing?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

4740

0.

No

17927

Summary Statistics: StDev 0.4066853382260027; Valid 22667.0; Mean 0.2091145718445317; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:G70txG7eqNf7+E7XuzGuzg==

RECODE of industry (Industry)

f5791234 Location:

Value

Label

Frequency

Text

0.

No

21098

1.

Yes

1569

Summary Statistics: Mean 0.06921957030043646; Min. 0.0; Valid 22667.0; StDev 0.2538327478734295; Max. 1.0

Variable Format: numeric

Notes: UNF:6:ov8aPFBsEBJHNsCT8x1ELw==

Does R work in Comparative disadvantage manufacturing?

f5791234 Location:

Summary Statistics: StDev 0.23658910384794488; Min. 0.0; Mean 0.0595138306789609; Max. 1.0; Valid 22667.0

Variable Format: numeric

Notes: UNF:6:PD4bQcg/h3w670IPe5UF8w==

manu_disadv

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

3391

0.

No

19276

Summary Statistics: StDev 0.35668749941126104; Valid 22667.0; Mean 0.1496007411655711; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:rWQU4e7JAUWYmTbQ79OVOQ==

Does R work in Comparative Disadvantage Sector?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

8445

0.

No

29852

Summary Statistics: Mean 0.22051335613755563; Valid 38297.0; StDev 0.4145982444344036; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:Dey8Lh8X08MyXiJ5aDmBNg==

Union Member?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

6970

0.

No

31324

Summary Statistics: StDev 0.3858601549354874; Mean 0.18201284796574008; Max. 1.0; Valid 38294.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:rD5xFtxYvGNIHbK5ufR5Xg==

Is R a college/university graduate?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

7766

0.

No

31883

Summary Statistics: Valid 39649.0; Mean 0.1958687482660335; Min. 0.0; Max. 1.0; StDev 0.39687296995605637;

Variable Format: numeric

Notes: UNF:6:VrGTbdf1lguAHP08EDrNIQ==

Including CoT in college graduates

f5791234 Location:

Summary Statistics: Max. 1.0; Mean 0.23138602520045773; StDev 0.4217241637797443; Min. 0.0; Valid 37539.0;

Variable Format: numeric

Notes: UNF:6:r6yUlGEdYQxzqq2H2CYiEQ==

RECODE of emp_size (How many people work at employer?)

f5791234 Location:

Summary Statistics: Valid 18980.0; Max. 1.0; Min. 0.0; StDev 0.3489966385626377; Mean 0.14193888303477376

Variable Format: numeric

Notes: UNF:6:BFaansiROoUGMy+4uXd7Yg==

Does employer have >299 employees?

f5791234 Location:

Value

Label

Frequency

Text

0.

No

14597

1.

Yes

4383

Summary Statistics: StDev 0.4214371073518012; Mean 0.2309272918861956; Max. 1.0; Min. 0.0; Valid 18980.0

Variable Format: numeric

Notes: UNF:6:0nzoM1eaKaBr6Tc7QWzOkg==

Does employer both import and export goods?

f5791234 Location:

Value

Label

Frequency

Text

1.

Yes

1053

0.

No

21404

Summary Statistics: Mean 0.046889611257069246; Valid 22457.0; Min. 0.0; StDev 0.2114071090826042; Max. 1.0

Variable Format: numeric

Notes: UNF:6:1ReDlZCjXvyrKcVZyM9v9A==

Employer is part of global supply chain

f5791234 Location:

Value

Label

Frequency

Text

0.

No

28800

1.

Yes

9478

Summary Statistics: StDev 0.43162941231087426; Mean 0.24760959297768978; Max. 1.0; Min. 0.0; Valid 38278.0

Variable Format: numeric

Notes: UNF:6:gi2GngWWPxI9vYeyc3LeOQ==

emp_glob_ord

f5791234 Location:

Summary Statistics: StDev 0.7148448516003574; Valid 11102.0; Min. 0.0; Max. 2.0; Mean 0.6378130066654741

Variable Format: numeric

Notes: UNF:6:BY5KUmjpNyowEa6SGxBlpg==

Probability of losing job in next 12 months

f5791234 Location:

Value

Label

Frequency

Text

1.

Not at all likely

20449

2.

Not too likely

11725

4.

Very likely

1132

3.

Fairly likely

4843

Summary Statistics: Valid 38149.0; Mean 1.6502660620199747; Min. 1.0; StDev 0.8120192869720502; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:gIzWI8rHzgpBxpZwi4Gosw==

pid

f5791234 Location:

Summary Statistics: Max. 7.0; Mean 4.28046818660898; StDev 2.708674588969494; Min. 1.0; Valid 36054.0

Variable Format: numeric

Notes: UNF:6:rdwv3zkmnBgJ63v6f3Qykg==

Does R support DPJ?

f5791234 Location:

Value

Label

Frequency

Text

0.

No

29234

1.

Yes

6820

Summary Statistics: Min. 0.0; Valid 36054.0; Max. 1.0; StDev 0.39164165501799564; Mean 0.18916070338935984;

Variable Format: numeric

Notes: UNF:6:QvXo6bta3NpVbP4qrUhj5g==

Does R support leftist parties?

f5791234 Location:

Value

Label

Frequency

Text

0.

No

34858

1.

Yes

1196

Summary Statistics: Max. 1.0; Mean 0.033172463526931754; Valid 36054.0; StDev 0.17908919780691443; Min. 0.0

Variable Format: numeric

Notes: UNF:6:zodVnaihN5gcZslrKcAmuQ==

Does R support LDP?

f5791234 Location:

Value

Label

Frequency

Text

0.

No

29604

1.

Yes

9910

Summary Statistics: Min. 0.0; StDev 0.4334774650935302; Valid 39514.0; Max. 1.0; Mean 0.2507971858075606

Variable Format: numeric

Notes: UNF:6:GQc4cGeECxp8oHyAeDnXYg==

Japan should limit imports

f5791234 Location:

Value

Label

Frequency

Text

2.

Disagree

783

1.

Strongly Disagree

245

4.

Neither Agree nor Disagree

8190

5.

Somewhat Agree

3634

7.

Strongly Agree

547

6.

Agree

1949

3.

Somewhat Disagree

1753

Summary Statistics: Max. 7.0; Valid 17101.0; Mean 4.29933921992866; Min. 1.0; StDev 1.1319569178765974;

Variable Format: numeric

Notes: UNF:6:FdYIM3MPVzghDLWW0n/kOQ==

Globalization good for Japanese workers

f5791234 Location:

Value

Label

Frequency

Text

2.

Disagree

3180

5.

Somewhat Agree

7360

6.

Agree

4945

4.

Neither Agree nor Disagree

13753

7.

Strongly Agree

891

3.

Somewhat Disagree

6558

1.

Strongly Disagree

891

Summary Statistics: Min. 1.0; Max. 7.0; Valid 37578.0; Mean 4.115280217148336; StDev 1.2840524311160744

Variable Format: numeric

Notes: UNF:6:5QqWxuCz5o02yUqnmHlung==

RECODE of xeno_coworkers_kr (Acceptance of Foreign Co-workers: South Korea)

f5791234 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.4897962558238682; Mean 0.399473156046167; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:EdcEWr9sCX5zqZ5YLMaZjQ==

RECODE of xeno_coworkers_tw (Acceptance of Foreign Co-workers: Taiwan)

f5791234 Location:

Summary Statistics: Valid 39860.0; StDev 0.4896152130922536; Max. 1.0; Mean 0.398595082789774; Min. 0.0

Variable Format: numeric

Notes: UNF:6:pB9/mCRUXeuLkowGwyYj0A==

RECODE of xeno_coworkers_cn (Acceptance of Foreign Co-workers: China)

f5791234 Location:

Summary Statistics: StDev 0.4899705550227079; Valid 39860.0; Max. 1.0; Mean 0.4003261414952336; Min. 0.0

Variable Format: numeric

Notes: UNF:6:BztKZx5AZhH1F2XYnLrIUg==

RECODE of xeno_coworkers_sa (Acceptance of Foreign Co-workers: Southeast Asia)

f5791234 Location:

Summary Statistics: Mean 0.3971650777721832; StDev 0.4893168560030797; Min. 0.0; Valid 39860.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:/u1jVwmG+ZYkvaq9Xnk2Ug==

RECODE of xeno_coworkers_eu (Acceptance of Foreign Co-workers: Europe)

f5791234 Location:

Summary Statistics: Mean 0.3980431510286029; Min. 0.0; Max. 1.0; StDev 0.489500574317942; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:W33u3EGH8WoEyFE0DbZRHg==

RECODE of xeno_coworkers_na (Acceptance of Foreign Co-workers: North America)

f5791234 Location:

Summary Statistics: Mean 0.39887104867034845; Valid 39860.0; StDev 0.4896722891190237; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:MCNkxACostBONAPYgtO3CA==

xeno_coworkers_nonmiss

f5791234 Location:

Summary Statistics: StDev 2.9304221617277872; Min. 0.0; Mean 2.392473657802259; Max. 6.0; Valid 39860.0;

Variable Format: numeric

Notes: UNF:6:gUHCYH932Mj5EmUHlKtZNg==

xeno_coworkers_tot

f5791234 Location:

Summary Statistics: Max. 5.0; Min. 0.0; Valid 39860.0; Mean 1.4043151028600371; StDev 2.1712830196995925

Variable Format: numeric

Notes: UNF:6:kwPqvfoHv/O+Pu1N/kRoYg==

xeno_coworkers_avg

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.5865370506227876; StDev 0.3504655575865502; Valid 16023.0

Variable Format: numeric

Notes: UNF:6:gVr5OZfo6a2uLJhoSr+spw==

RECODE of xeno_neighbors_kr (Acceptance of Foreign Neighbors: South Korea)

f5791234 Location:

Summary Statistics: Mean 0.4022328148519789; Min. 0.0; StDev 0.49035457559972734; Max. 1.0; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:DMRYw58+I/6nwzA4ml1wzg==

RECODE of xeno_neighbors_tw (Acceptance of Foreign Neighbors: Taiwan)

f5791234 Location:

Summary Statistics: StDev 0.49028943489401416; Mean 0.4019066733567574; Min. 0.0; Valid 39860.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:HL9rANazmeEWR4ADpwinkg==

RECODE of xeno_neighbors_cn (Acceptance of Foreign Neighbors: China)

f5791234 Location:

Summary Statistics: Max. 1.0; Mean 0.4022077270446533; StDev 0.4903495727851633; Valid 39860.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vxsjpmxxYMOJ/iUloZgO6w==

RECODE of xeno_neighbors_sa (Acceptance of Foreign Neighbors: Southeast Asia)

f5791234 Location:

Summary Statistics: StDev 0.4900113417947565; Max. 1.0; Mean 0.4005268439538405; Min. 0.0; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:P7WEJn+9wKzaw2hwGEFfXw==

RECODE of xeno_neighbors_eu (Acceptance of Foreign Neighbors: Europe)

f5791234 Location:

Summary Statistics: Min. 0.0; Mean 0.4011038635223332; StDev 0.4901281270472584; Max. 1.0; Valid 39860.0

Variable Format: numeric

Notes: UNF:6:RbtPbQrLKGe4lmkou7DP0g==

RECODE of xeno_neighbors_na (Acceptance of Foreign Neighbors: North america)

f5791234 Location:

Summary Statistics: Max. 1.0; Valid 39860.0; StDev 0.4903495727851632; Min. 0.0; Mean 0.4022077270446535;

Variable Format: numeric

Notes: UNF:6:QJFNj1cYgbaAcNoCBjhZtQ==

xeno_neighbors_nonmiss

f5791234 Location:

Summary Statistics: Mean 2.4101856497742715; StDev 2.934996026669965; Valid 39860.0; Max. 6.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:OByDb5vVU5F0ks1w1GR/BQ==

xeno_neighbors_tot

f5791234 Location:

Summary Statistics: Valid 39860.0; Min. 0.0; Mean 1.3843452082288463; Max. 5.0; StDev 2.153926570030501;

Variable Format: numeric

Notes: UNF:6:ah6y5cCnTSS7FfOkQB48KQ==

xeno_neighbors_avg

f5791234 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.5752866692729743; StDev 0.35379804037101914; Valid 16133.0

Variable Format: numeric

Notes: UNF:6:30HT4PSbJ4iSGPnSyPZkPg==

RECODE of xeno_marriage_kr (Acceptance of Foreign Relatives: South Korea)

f5791234 Location:

Summary Statistics: Min. 0.0; Valid 39860.0; StDev 0.48974469680680494; Max. 1.0; Mean 0.3992222779729127;

Variable Format: numeric

Notes: UNF:6:AI8oEtWUMfeqfMd1mCp/ew==

RECODE of xeno_marriage_tw (Acceptance of Foreign Relatives: Taiwan)

f5791234 Location:

Summary Statistics: Min. 0.0; Valid 39860.0; Mean 0.39864525840441584; Max. 1.0; StDev 0.48962560261627514

Variable Format: numeric

Notes: UNF:6:FzatuWOkQiWMg0Io6tQXTg==

RECODE of xeno_marriage_cn (Acceptance of Foreign Relatives: China)

f5791234 Location:

Summary Statistics: Max. 1.0; StDev 0.48962040852450095; Mean 0.39862017059709465; Valid 39860.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:jl50nG83dJn9f0mnA4yAVw==

RECODE of xeno_marriage_sa (Acceptance of Foreign Relatives: Southeast Asia)

f5791234 Location:

Summary Statistics: StDev 0.48933793562098304; Max. 1.0; Valid 39860.0; Mean 0.3972654290015039; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:yFnGzgCBHfCOiz8Abxr7gw==

RECODE of xeno_marriage_eu (Acceptance of Foreign Relatives: Europe)

f5791234 Location:

Summary Statistics: Valid 39860.0; Mean 0.3986452584044159; StDev 0.48962560261627514; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:QEKoIxvH5+6nTEpghO/7QA==

RECODE of xeno_marriage_na (Acceptance of Foreign Relatives: North America)

f5791234 Location:

Summary Statistics: Max. 1.0; StDev 0.4896826491541771; Mean 0.3989212242849907; Min. 0.0; Valid 39860.0;

Variable Format: numeric

Notes: UNF:6:1RKdg8qIja4RIqja9xdqhg==

xeno_marriage_nonmiss

f5791234 Location:

Summary Statistics: Min. 0.0; Valid 39860.0; StDev 2.9318603527071634; Mean 2.3913196186652614; Max. 6.0

Variable Format: numeric

Notes: UNF:6:anwgIfS6wMJywfOaUVeQJQ==

xeno_marriage_tot

f5791234 Location:

Summary Statistics: Mean 1.2240842950326416; StDev 2.061806711915855; Min. 0.0; Valid 39860.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:TGDi+W3QkEFYY92GM/IA3A==

xeno_marriage_avg

f5791234 Location:

Summary Statistics: Max. 1.0; Mean 0.5130241770961033; Min. 0.0; Valid 16001.0; StDev 0.37487401448506863

Variable Format: numeric

Notes: UNF:6:1XGqzWPsc1V4YQNL4UA0Ag==

cosmo_avg

f5791234 Location:

Summary Statistics: StDev 0.31360594736183567; Mean 0.5625987276632765; Max. 1.0; Min. 0.0; Valid 37655.0;

Variable Format: numeric

Notes: UNF:6:gU1JHQMC5nKR+YMIjt5lFg==

RECODE of industry (Industry)

f5791234 Location:

Value

Label

Frequency

Text

1.

Primary

1569

3.

Manufacturing

4740

4.

Government

1089

2.

Services

15145

Summary Statistics: Max. 4.0; Min. 1.0; Mean 2.237279865146609; Valid 22543.0; StDev 0.6456102667309469

Variable Format: numeric

Notes: UNF:6:fmgzfTJpVTiOvlu3wHXY0Q==

manu_serv

f5791234 Location:

Summary Statistics: Min. 1.0; Valid 19885.0; Max. 2.0; Mean 1.7616293688710083; StDev 0.426097645856545;

Variable Format: numeric

Notes: UNF:6:RZnu/kBbujgd+Y6GuUYFHg==

mean_trade

f5791234 Location:

Summary Statistics: Max. 5.0714287757873535; StDev 0.19505662415211042; Min. 3.9200000762939453; Valid 39860.0; Mean 4.257768611290679

Variable Format: numeric

Notes: UNF:6:DP23E/MfHem2nUtZdIdfhg==

total_emp_glob

f5791234 Location:

Summary Statistics: Mean 24.042624184646268; Valid 39860.0; Min. 0.0; StDev 16.863640246550087; Max. 55.0

Variable Format: numeric

Notes: UNF:6:kflb2cX1h+74dsw1Kk8MXQ==

total_emp

f5791234 Location:

Summary Statistics: Valid 39860.0; StDev 54.690871036259246; Mean 91.31407425990967; Min. 6.0; Max. 188.0

Variable Format: numeric

Notes: UNF:6:FJ72vEHqHI+TupzQpLVbxQ==

emp_glob_pct

f5791234 Location:

Summary Statistics: Max. 0.4615384638309479; Valid 39860.0; StDev 0.0909565409926394; Mean 0.25111455995546506; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:/xGUIhyjhvxzlIIfASrt3w==

_mi_m

f5791234 Location:

Summary Statistics: Mean 4.917711991973173; StDev 3.200054626993178; Valid 39860.0; Min. 0.0; Max. 10.0

Variable Format: numeric

Notes: UNF:6:x88MNd/aHHL4g5qn5FDLyA==

_mi_id

f5791234 Location:

Summary Statistics: Valid 39860.0; Mean 2356.3805820371776; StDev 1130.7308218090227; Max. 4220.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:tLj+rYZ4O84d3wsFUS6vCA==

_mi_miss

f5791234 Location:

Summary Statistics: Valid 4220.0; Max. 1.0; Mean 0.8445497630331783; Min. 0.0; StDev 0.3623762940182667

Variable Format: numeric

Notes: UNF:6:/QEQVMS/VesSfahR08KeGg==

industry==Agriculture

f5791234 Location:

Summary Statistics: Min. 0.0; Mean 0.05898442669960746; StDev 0.23560074902298664; Valid 22667.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:bVb60XOvgbIkOZOHJjc/hw==

industry==Forestry

f5791234 Location:

Summary Statistics: Max. 1.0; StDev 0.03870134475512268; Valid 22667.0; Mean 0.001499977941500864; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:dUj6TsXDxyXWmq3zfqmWng==

industry==Fishery

f5791234 Location:

Summary Statistics: Mean 0.007764591697180935; StDev 0.08777609423222865; Min. 0.0; Max. 1.0; Valid 22667.0

Variable Format: numeric

Notes: UNF:6:QqWaMxFbkZcmAj8aqmnNMg==

industry==Mining

f5791234 Location:

Summary Statistics: Max. 1.0; StDev 0.031139600631191523; Valid 22667.0; Mean 9.705739621475916E-4; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:imFtnQCXL385i5AGe7gpvQ==

industry==Construction

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.24375848781095721; Mean 0.06344024352583046; Valid 22667.0

Variable Format: numeric

Notes: UNF:6:ZtcciPvR+NgImQTC+xDpBA==

industry==Manufacturing

f5791234 Location:

Summary Statistics: Min. 0.0; StDev 0.4066853382260027; Mean 0.2091145718445317; Valid 22667.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:G70txG7eqNf7+E7XuzGuzg==

industry==Electricity, gas, steam supply, water works

f5791234 Location:

Summary Statistics: StDev 0.08997438180984893; Max. 1.0; Min. 0.0; Valid 22667.0; Mean 0.008161644681695827

Variable Format: numeric

Notes: UNF:6:8fPy6zfVnsv7MkTsGp1uYA==

industry==Transportation

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.05144041999382361; StDev 0.2208991985903357; Valid 22667.0

Variable Format: numeric

Notes: UNF:6:mG6VCAvR21NgOjDM81hdBw==

industry==Wholesale trade

f5791234 Location:

Summary Statistics: Valid 22667.0; StDev 0.17724894548252823; Min. 0.0; Mean 0.03247011073366558; Max. 1.0

Variable Format: numeric

Notes: UNF:6:BdXBZeTVxku5MqkxXpQE4g==

industry==Retail trade

f5791234 Location:

Summary Statistics: Min. 0.0; StDev 0.3251213494758483; Max. 1.0; Mean 0.12013058631490701; Valid 22667.0;

Variable Format: numeric

Notes: UNF:6:9UggTAmgCuwU9JTXpf2faQ==

industry==Restaurants

f5791234 Location:

Summary Statistics: Valid 22667.0; Max. 1.0; Mean 0.03886707548418411; StDev 0.19328236870856647; Min. 0.0

Variable Format: numeric

Notes: UNF:6:7FwqWPoPMKmCqA5YTqYsfw==

industry==Financial institutions, insurance

f5791234 Location:

Summary Statistics: Valid 22667.0; Mean 0.01786738430317213; Max. 1.0; Min. 0.0; StDev 0.13247231819057528

Variable Format: numeric

Notes: UNF:6:kmrAU9IZFKHpi4jOTFJKPg==

industry==Real estate

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 22667.0; Mean 0.011382185556094679; StDev 0.10608076103744013

Variable Format: numeric

Notes: UNF:6:8DGFYb5ZSme5NmXsvBmhgA==

industry==Broadcasting, publishing, advertising, film production

f5791234 Location:

Summary Statistics: Mean 0.009088101645564001; Valid 22667.0; Max. 1.0; StDev 0.09489944872101216; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:NNuMAfY2dFlxCreG7/a4Vw==

industry==Information and communication services

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 22667.0; Mean 0.024970221026161445; StDev 0.15603776222178672;

Variable Format: numeric

Notes: UNF:6:8JXyIfZRSXhR1j4G9hRwOA==

industry==Medical and welfare services

f5791234 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.10870428376053297; StDev 0.31127469706680344; Valid 22667.0;

Variable Format: numeric

Notes: UNF:6:J2q+1OSluW/NU07AyTVHKA==

industry==Educational and research services

f5791234 Location:

Summary Statistics: Valid 22667.0; Max. 1.0; Mean 0.05439625887854563; Min. 0.0; StDev 0.2268029436718313

Variable Format: numeric

Notes: UNF:6:5TfOLtTF/F7XIwq/3BD7vw==

industry==Legal and accounting services

f5791234 Location:

Summary Statistics: Max. 1.0; Valid 22667.0; Mean 0.007367538712666041; StDev 0.08551947578891367; Min. 0.0

Variable Format: numeric

Notes: UNF:6:17UAFbtngtGsF1IJnhR8QA==

industry==Other services

f5791234 Location:

Summary Statistics: StDev 0.324811804839412; Valid 22667.0; Min. 0.0; Max. 1.0; Mean 0.11986588432523046

Variable Format: numeric

Notes: UNF:6:okGt9PKdBKN0HrudMPYElw==

industry==Public administration

f5791234 Location:

Summary Statistics: Min. 0.0; StDev 0.2138627119538672; Max. 1.0; Mean 0.04804341112630694; Valid 22667.0

Variable Format: numeric

Notes: UNF:6:JW9BpvCzk6H50Vl1ienZmg==

industry==Industries not elsewhere classified

f5791234 Location:

Summary Statistics: Min. 0.0; StDev 0.07376192353722966; Mean 0.005470507786650196; Max. 1.0; Valid 22667.0;

Variable Format: numeric

Notes: UNF:6:x1+5pZSvNijTXv8gb/RrRw==

pref_name

f5791231 Location:

Variable Format: character

Notes: UNF:6:ebKgCPmBPDG92mVAP0FL4g==

ind_code

f5791231 Location:

Summary Statistics: StDev 6.636319819051877; Valid 1081.0; Mean 12.0; Max. 23.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:wfnspcMoarGrT5eELFVchQ==

ind_text

f5791231 Location:

Variable Format: character

Notes: UNF:6:E3Z0rb4an5H+APOaTCBiKw==

RTFPir

f5791231 Location:

Summary Statistics: Mean -0.025571692876965778; Min. -3.131; Valid 1081.0; Max. 1.642; StDev 0.34295095035021095

Variable Format: numeric

Notes: UNF:6:gZlaGVZvxaFw4m1RGZtHng==

pref_name

f5791236 Location:

Variable Format: character

Notes: UNF:6:R1KVK0oEgchNbXitsW6NCw==

TFP

f5791236 Location:

Summary Statistics: Valid 47.0; Mean 0.018730853617021277; StDev 0.08087238058776966; Max. 0.332388971; Min. -0.14454183

Variable Format: numeric

Notes: UNF:6:D2mbRCMdV3h70VyiViTqQw==

labor_prod

f5791236 Location:

Summary Statistics: Min. -0.164; Mean 0.04148936170212768; StDev 0.1103261710329925; Max. 0.399; Valid 47.0;

Variable Format: numeric

Notes: UNF:6:vU9NNmgLf5GtLRuKXNjtUg==

Other Study-Related Materials

Label:

IO_AP_TablesFigures.do

Text:

Tables and Figures for Appendix

Notes:

application/x-stata-syntax

Other Study-Related Materials

Label:

IO_Data_Prep_Submission.do

Text:

Data Preparation Codes

Notes:

application/x-stata-syntax

Other Study-Related Materials

Label:

IO_Manuscript_TablesFigures.do

Text:

Tables and Figures for Manuscript

Notes:

application/x-stata-syntax

Other Study-Related Materials

Label:

poet.ado

Text:

poet ado file necessary to run poet command in " IO_Manuscript_TablesFigures.do"

Notes:

application/x-stata-ado