China-A Dataset, County-Level Units 1990 (doi:10.7910/DVN/BW68TU)

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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
Entire Codebook

Document Description

Citation

Title:

China-A Dataset, County-Level Units 1990

Identification Number:

doi:10.7910/DVN/BW68TU

Distributor:

Harvard Dataverse

Date of Distribution:

2012-09-14

Version:

5

Bibliographic Citation:

G. W. Skinner; Mark Henderson, 2012, "China-A Dataset, County-Level Units 1990", https://doi.org/10.7910/DVN/BW68TU, Harvard Dataverse, V5, UNF:5:Pdx5uRcz7IuT0e8n6nelng== [fileUNF]

Study Description

Citation

Title:

China-A Dataset, County-Level Units 1990

Subtitle:

G. W. Skinner Regional Systems Dataset

Identification Number:

doi:10.7910/DVN/BW68TU

Authoring Entity:

G. W. Skinner (University of California, Davis)

Mark Henderson (Mills College)

Producer:

G. W. Skinner Archive & Center for Geographic Analysis

Date of Production:

2012-06-12

Software used in Production:

10

Distributor:

Harvard Dataverse

Distributor:

Fairbank Center for Chinese Studies

Access Authority:

Lex Berman

Depositor:

Lex Berman

Date of Deposit:

2012-09-14

Date of Distribution:

2012-09-12

Series Name:

G. W. Skinner Regional Systems Dataset

Holdings Information:

https://doi.org/10.7910/DVN/BW68TU

Study Scope

Abstract:

The ChinaA Datasets combine the raw geographical units and the essential county-level unit variables used for Skinner's 1990 China Regional Systems analysis. ChinaA MQ Dataset is composed of the ChinaA MQ (Merged Qu) geographic units that have been joined to tabular data compiled from the 1990 Census variables. ChinaA AVARS Dataset containst the analytical variables, based on various calculations using the raw census variables. Related Tables: Six tables (one for each of the GIS data layers) are included in this dataset. Note th at the tables contain 3,725 rows, while the GIS layers contain only 2,434 Merged Qu geographic units. The greater number of rows in the tables are due to the way in which the Merged Qu were combined from other units. In other words, the table will contain all the Qu (urban district) units for a particular city, but the Skinner analysis subsequently merged some or all of these into a single aggregate, both in terms of data values and in terms of the area to which the aggregated values relate to in geographic space. Variables: the variables published here are a later revision of the ChinaA dataset published previously (in 1995) as CITAS County-level Units 1990. Note that the variables have in some cases been RENUMBERED, so that they no longer match those found in the CITAS version, as documented here: http://citas.csde.washington.edu/data/chinaA/gswa.htm Be sure to verify the written definition for analytical variables in the Codebook, and especially the original operands, (such as a624/a602) in the Raw Variables, to make sure that you are using the correct units and rates of measure. Codebook: ChinaA_code_manual_20120615.pdf

Time Period:

1990-1990

Date of Collection:

1990-1995

Country:

China

Geographic Coverage:

National

Geographic Unit(s):

various

Geographic Bounding Box:

  • West Bounding Longitude: 70.114337
  • East Bounding Longitude: 140.398256
  • South Bounding Latitude: 16.390436
  • North Bounding Latitude: 55.823672

Universe:

administrative geographic units

Kind of Data:

census variables, demographics

Methodology and Processing

Time Method:

Year

Data Collector:

Regional Systems Analysis at UC Davis

Frequency of Data Collection:

complete

Sources Statement

Data Access

Availability Status:

restricted to academic use

Completeness of Study Stored:

complete

Special Permissions:

Access to, and use of, the Skinner Datasets are restricted to non-commercial use for academic research and educational purposes. Any commercial use requires a License, which may be obtained only from the Skinner Estate or the original authors.

Restrictions:

Use of the Skinner Datasets requires citation in any publications.

Citation Requirement:

"ChinaA Dataset, County-Level Units 1990" (c) G.William Skinner,et al. Cambridge: Center for Geographic Analysis, Harvard University, 2012."

Notes:

This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use.

Other Study Description Materials

Related Publications

Citation

Title:

"ChinaA Dataset, County-Level Units 1990" (c) G.William Skinner,et al. Cambridge: Center for Geographic Analysis, Harvard University, 2012."

Bibliographic Citation:

"ChinaA Dataset, County-Level Units 1990" (c) G.William Skinner,et al. Cambridge: Center for Geographic Analysis, Harvard University, 2012."

File Description--f2420035

File: ChinaA_PartOne_20120912.tab

  • Number of cases: 2434

  • No. of variables per record: 248

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

Notes:

UNF:5:Pdx5uRcz7IuT0e8n6nelng==

raw variables Part One in SPSS format (a101 to a279, see Codebook p.1 - 12)

Variable Description

List of Variables:

Variables

A1MQ_NUM

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Variable Format: numeric

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RSID

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Variable Format: numeric

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SQ_KM

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Variable Format: numeric

Notes: UNF:5:lN1MR96XTcmo3ZDKSVHmcQ==

POP_DENS

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Variable Format: numeric

Notes: UNF:5:lN1MR96XTcmo3ZDKSVHmcQ==

JOIN_ID

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Variable Format: character

Notes: UNF:5:DYQ57KN2j7opbRCyEsp0XA==

NAME_ENG

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Variable Format: character

Notes: UNF:5:K5RI9/DMshkMW4MSkNhRoA==

CP

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Variable Format: character

Notes: UNF:5:QJn51qJInPIIdv9EhebaQg==

MR

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Variable Format: numeric

Notes: UNF:5:QsH9pDi2382sq/Yrz1CQkg==

RS

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Variable Format: numeric

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A1C

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Variable Format: numeric

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A5

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Variable Format: numeric

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A6

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Variable Format: numeric

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A7

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Variable Format: numeric

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A8

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Variable Format: numeric

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A9

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Variable Format: numeric

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A976

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Variable Format: numeric

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A977

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Variable Format: numeric

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A981

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Variable Format: character

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A982

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Variable Format: numeric

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A983

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Variable Format: character

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A984

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Variable Format: numeric

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A985

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Variable Format: character

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A986

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Variable Format: numeric

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A987

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Variable Format: numeric

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A988

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Variable Format: numeric

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A990

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Variable Format: numeric

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A991

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Variable Format: numeric

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A992

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Variable Format: numeric

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A993

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Variable Format: numeric

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A994

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Variable Format: numeric

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A995

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Variable Format: numeric

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A999

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Variable Format: numeric

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A0

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Variable Format: numeric

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A00

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Variable Format: numeric

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A01

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Variable Format: numeric

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A02

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Variable Format: numeric

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A03

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Variable Format: numeric

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A04

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Variable Format: numeric

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A10

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Variable Format: numeric

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A11

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Variable Format: numeric

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A12

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Variable Format: numeric

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A13

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Variable Format: numeric

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A14

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Variable Format: numeric

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A15

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Variable Format: numeric

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A20

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Variable Format: numeric

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Variable Format: numeric

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A22

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Variable Format: numeric

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A23

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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A73

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Variable Format: numeric

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A74

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Variable Format: numeric

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A80

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Variable Format: numeric

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A81

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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A93

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Variable Format: numeric

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Variable Format: numeric

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A102

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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A106

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Variable Format: numeric

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A107

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Variable Format: numeric

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A108

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Variable Format: numeric

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A109

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Variable Format: numeric

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A110

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Variable Format: numeric

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A111

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Variable Format: numeric

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A112

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Variable Format: numeric

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A113

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Variable Format: numeric

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A114

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Variable Format: numeric

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A115

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Variable Format: numeric

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A116

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Variable Format: numeric

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A117

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Variable Format: numeric

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A118

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Variable Format: numeric

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A119

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Variable Format: numeric

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A120

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Variable Format: numeric

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A121

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Variable Format: numeric

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A122

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Variable Format: numeric

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A123

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Variable Format: numeric

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A124

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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A181

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Variable Format: numeric

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SUM_247_

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Variable Format: numeric

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A182

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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A187

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Variable Format: numeric

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A188

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Variable Format: numeric

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A189

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Variable Format: numeric

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Other Study-Related Materials

Label:

ChinaA_a10101_households.jpg

Text:

sample map: household size per county (from 0 - 8.7 persons / household)

Notes:

image/jpeg

Other Study-Related Materials

Label:

ChinaA_a10402.jpg

Text:

sample map: same-province in-migration by county as % of total population

Notes:

image/jpeg

Other Study-Related Materials

Label:

ChinaA_a10628.jpg

Text:

sample map: electricity use by county (1 Million kwH / hectare cultivated land)

Notes:

image/jpeg

Other Study-Related Materials

Label:

ChinaA_code_manual_20120615.pdf

Text:

complete listing and description of variables

Notes:

application/pdf

Other Study-Related Materials

Label:

ChinaA_GIS_layers_20120615.zip

Text:

shapefiles with attached variables for spatial analysis, divided into six parts. See Appendix on last page of codebook for the list of variables that correspond to each GIS layer.

Notes:

application/octet-stream

Other Study-Related Materials

Label:

ChinaA_tables_20120912.zip

Text:

variables in Excel and OpenOffice format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

ChinaBAS.equivalents.16Jun08.xls

Text:

Table of equivalent units between ChinaA (1990 map)/ChinaS (1990 census 1% sample) and ChinaB (2000 census and map).

Notes:

application/vnd.ms-excel

Other Study-Related Materials

Label:

README_ChinaA_2012.txt

Text:

Notes:

text/plain; charset=UTF-8