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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F56]
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Living Standards Survey VI 2012-2013

Ghana, 2012 - 2013
Reference ID
GHA_2012_GLSS_v01_M
Producer(s)
Ghana Statistical Service
Metadata
DDI/XML JSON
Created on
Dec 22, 2014
Last modified
Mar 29, 2019
Page views
266980
Downloads
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • Data files
  • GHA_2013_E
  • GHA_2013_H
  • GHA_2013_I
  • SEC0
  • SEC1
  • SEC2a
  • SEC2b
  • SEC2c
  • SEC3a
  • SEC3b
  • SEC3c
  • SEC3d
  • SEC3e
  • SEC4a
  • SEC4b
  • SEC4c
  • SEC4d
  • SEC4e
  • SEC4f
  • SEC4g
  • SEC4h
  • SEC4hs
  • SEC5a
  • SEC5b
  • SEC6
  • SEC6q10
  • SEC7
  • SEC8a1
  • SEC8a2
  • SEC8a3
  • SEC8b
  • SEC8c1
  • SEC8c2
  • SEC8d
  • SEC8e
  • SEC8f
  • SEC8g
  • SEC8h
  • SEC9a
  • SEC9b
  • SEC9c
  • SEC10a
  • SEC10b
  • SEC10c1
  • SEC10c2
  • SEC10d3
  • SEC10d4
  • SEC10d5a
  • SEC10d5b
  • SEC10d6a
  • SEC10d6b
  • SEC10d11
  • SEC10d12
  • SEC10d2 1
  • SEC10d22
  • SEC10e
  • SEC10e1
  • SEC10e2
  • SEC10f1
  • SEC10f2
  • SEC10g1
  • SEC10g2
  • SEC10h
  • SEC11a
  • SEC11b
  • SEC11c
  • SEC11d
  • SEC11ea
  • SEC11eb1
  • SEC11eb2
  • SEC11ebb
  • SEC11ec
  • SEC12a
  • SEC12b
  • SEC12c
  • SECa01
  • SECa04
  • SECb0
  • SECb1
  • SECb2
  • WYX
  • Comm_SEC0
  • Comm_SEC1
  • Comm_SEC2
  • Comm_SEC3
  • Comm_SEC4a
  • Comm_SEC4b
  • Comm_SEC4c
  • Comm_SEC5a
  • Comm_SEC5b

Ent NOP in last 2wks-value of hhold consumed goods and service in GH¢ (s10eq10)

Data file: SEC10e

Overview

Valid: 597
Invalid: 9071
Minimum: 0
Maximum: 50000
Type: Discrete
Decimal: 0
Start: 51
End: 55
Width: 5
Range: -
Format:

Questions and instructions

Literal question
What is the value of the products usually consumed by the household instead of being sold over a 2 week period?
Categories
Value Category
0
35
40
50
60
70
80
90
100
120
150
200
240
250
260
280
300
320
360
400
420
450
480
500
510
540
600
700
720
750
800
840
880
900
1000
1200
1250
1300
1400
1500
1600
1650
1700
1800
2000
2380
2400
2500
2800
3000
3400
3500
3600
3700
4000
4200
4500
4800
5000
5200
5600
6000
7000
7200
8000
9800
10000
12000
14000
15000
24000
25000
45000
50000
Sysmiss
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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