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    Home / Central Data Catalog / LSMS / GHA_1988_GLSS_V02_M / variable [F75]
lsms

Living Standards Survey II 1988-1989

Ghana, 1988 - 1989
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Reference ID
GHA_1988_GLSS_v02_M
Producer(s)
Ghana Statistical Service (GSS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jun 15, 2015
Last modified
Jan 30, 2020
Page views
318151
Downloads
377188
  • Study Description
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  • Data files
  • clhlth
  • clyr1yr2
  • comm
  • drug
  • expend
  • head
  • health
  • hhcomm
  • mschoola
  • mschoolb
  • mschoolc
  • panelc
  • price
  • pschoola
  • pschoolb
  • pschoolc
  • y00a
  • y00b
  • y00c
  • y01a
  • y01b
  • y01c
  • y02a
  • y02b
  • y03i
  • y03ii
  • y04
  • y05a
  • y05b1
  • y05b2
  • y05b3
  • y05b4
  • y05c1
  • y05c2
  • y05d
  • y05e1
  • y05e2
  • y05e3
  • y05e4
  • y05f
  • y05g1
  • y05g2
  • y05h
  • y06
  • y07
  • y08
  • y09a
  • y09b
  • y09c
  • y09d1a
  • y09d1b
  • y09d1c
  • y09d2a
  • y09d2b
  • y09d2c
  • y09d3a
  • y09d3b
  • y09d4a
  • y09d4b
  • y09d4c
  • y09d5
  • y09e
  • y09f
  • y09g
  • y09h
  • y09i
  • y09j
  • y09k
  • y10a
  • y10b
  • y10c
  • y10d
  • y11a
  • y11b
  • y11c
  • y11d
  • y12a
  • y12b
  • y13a1a
  • y13a1b
  • y13a2
  • y13b
  • y14a
  • y14b
  • y15a
  • y15b
  • y15c
  • y16a
  • y16b
  • y17a
  • y17b
  • y17c
  • zscoreh

11cq1b: code of goods owned (goodcd)

Data file: y11c

Overview

Valid: 3866
Invalid: 1
Minimum: 201
Maximum: 217
Type: Discrete
Decimal: 2
Start: 33
End: 38
Width: 6
Range: 201 - 217
Format: Numeric

Questions and instructions

Categories
Value Category Cases
201 Sewing machines 845
21.9%
202 Gas or other full-sized stoves 241
6.2%
203 Refridgerators or freexers 191
4.9%
204 Air conditioners 6
0.2%
205 Fans 322
8.3%
206 Radios 739
19.1%
207 Radio/cassette players 590
15.3%
208 Phonographs 32
0.8%
209 Stereo equipment 95
2.5%
210 Video equipment 33
0.9%
211 Washing machine 3
0.1%
212 Black and white TV sets 176
4.6%
213 Colour TV sets 35
0.9%
214 Bicycles 372
9.6%
215 Motor bikes 22
0.6%
216 Cars, other vehicles 71
1.8%
217 Cameras 93
2.4%
Sysmiss 1
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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