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    Home / Central Data Catalog / GHA_2005_GLSS_V01_M / variable [F70]
central

Living Standards Survey V 2005-2006

Ghana, 2005 - 2006
Reference ID
GHA_2005_GLSS_v01_M
Producer(s)
Ghana Statistical Service (GSS)
Metadata
DDI/XML JSON
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
235211
Downloads
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  • Data files
  • com-list
  • com-sec0
  • com-sec1
  • com-sec21
  • com-sec22
  • com-sec23
  • com-sec31
  • com-sec32
  • com-sec33
  • com-sec41
  • com-sec42
  • com-sec43
  • com-sec51
  • com-sec52
  • sec0
  • sec0_580
  • sec1
  • sec2a
  • sec2b
  • sec2c
  • sec3a
  • sec3b
  • sec3c
  • sec3d
  • sec3e
  • sec3f
  • sec4a
  • sec4b
  • sec4c
  • sec4d
  • sec4e
  • sec4f
  • sec4g
  • sec4h
  • sec5a
  • sec5b
  • sec6
  • sec6q9
  • sec7
  • sec8a1
  • sec8a2
  • sec8a3
  • sec8b
  • sec8c1
  • sec8c2
  • sec8d
  • sec8e
  • sec8f
  • sec8g
  • sec8h
  • sec9a
  • sec9b
  • sec9c
  • sec10a
  • sec10b
  • sec10c1
  • sec10c2
  • sec10d1
  • sec10d2
  • sec10d3
  • sec10d4
  • sec10e
  • sec10e1
  • sec10e2
  • sec10f1
  • sec10f2
  • sec10g1
  • sec10g2
  • sec10h1
  • sec10h2
  • sec10j
  • sec11a
  • sec11b
  • sec11c
  • sec11d
  • sec12a
  • sec12b
  • sec12c
  • secb0
  • secb1
  • secb2

2nd ent -value of item at time of purchase (1st) (s10hq11a)

Data file: sec10h2

Overview

Valid: 230
Invalid: 3239
Type: Discrete
Decimal: 0
Start: 29
End: 36
Width: 8
Range: -
Format:

Questions and instructions

Categories
Value Category
0 0
500
1000
1500
1800
2000
2500
3000
4000
5000
6000
7000
8000
9000
10000
12000
14000
14500
15000
17000
18000
20000
22000
25000
28000
30000
31000
32000
34000
35000
40000
45000
46000
49000
50000
52000
60000
64500
65000
70000
75000
80000
90000
100000
110000
120000
130000
150000
180000
200000
210000
250000
270000
300000
320000
340000
350000
360000
380000
400000
420000
500000
520000
550000
700000
800000
900000
1000000
1030000
1100000
1200000
2000000
2300000
25500000
35000000
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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