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    Home / Central Data Catalog / LSMS / CHN_1995_LSS_V01_M / variable [F86]
lsms

Living Standards Survey 1995 -1997

China, 1995 - 1997
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Reference ID
CHN_1995_LSS_v01_M
DOI
https://doi.org/10.48529/ymjj-w136
Producer(s)
Research Centre for Rural Economy and the World Bank
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
DDI/XML JSON
Created on
Apr 06, 2011
Last modified
Jan 30, 2020
Page views
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  • NPT0101
  • NPT0102
  • NPT0105
  • NPT0106
  • NPT0107
  • NPT0108A
  • NPT0108B
  • NPT0112A
  • NPT0301
  • NPT0302
  • NPT0401
  • NPT0902B
  • PT0103
  • PT0104
  • PT0109
  • PT0110
  • PT0111
  • PT0112B
  • PT0201A
  • PT0201B
  • PT0201C
  • PT0202A
  • PT0202B
  • PT0203A
  • PT0203B
  • PT0204A
  • PT0204B
  • PT0205
  • PT0303
  • PT0304
  • PT0305
  • PT0402
  • PT0403
  • PT0404A
  • PT0404B
  • PT0405A
  • PT0405B
  • PT0501A
  • PT0501B
  • PT0502A
  • PT0502B
  • PT0701
  • PT0801A
  • PT0801B
  • PT0802A
  • PT0802B
  • PT0803A
  • PT0803B
  • PT0804
  • PT0901A
  • PT0901B
  • PT0902A
  • S00
  • S01A1
  • S01A2
  • S01B
  • S01C1
  • S01C2
  • S02
  • S03A
  • S03B
  • S03C
  • S03D
  • S03E
  • S03F
  • S03G
  • S04
  • S05A1
  • S05A2
  • S05A3
  • S05A4
  • S05A5
  • S05A6
  • S05B
  • S05C1
  • S05C2
  • S05C3
  • S05C4
  • S06A1
  • S06A2
  • S06B1
  • S06B2
  • S06B3
  • S06B4
  • S06B5
  • S06C
  • S06D1
  • S06D2
  • S06D3
  • S06D4
  • S06E1
  • S06E2
  • S06F1
  • S06F2
  • S06F2N
  • S06G1
  • S06G2
  • S07A1
  • S07A2
  • S07B
  • S07C
  • S07D
  • S07E
  • S08A1
  • S08A2
  • S08B1
  • S08B2
  • S08C
  • S08D1
  • S08D2
  • S09A1
  • S09A2
  • S09B1
  • S09B2
  • S09C
  • S10A1
  • S10A2
  • S10B1
  • S10B2
  • TOTEXP

2 CODE OF EQUIPMENT (s06c02b)

Data file: S06C

Overview

Valid: 510
Invalid: 241
Type: Discrete
Decimal: 0
Width: 10
Range: 202 - 215
Format: Numeric

Questions and instructions

Categories
Value Category Cases
202 1
0.2%
203 43
8.4%
204 56
11%
205 172
33.7%
206 26
5.1%
207 2
0.4%
208 2
0.4%
209 4
0.8%
210 5
1%
211 25
4.9%
212 68
13.3%
213 79
15.5%
214 22
4.3%
215 5
1%
Sysmiss 241
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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