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    Home / Central Data Catalog / GHA_2005_GLSS_V01_M / variable [F68]
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
234166
Downloads
98145
  • Study Description
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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-amount spent on item in last 2 wks (s10gq15)

Data file: sec10g2

Overview

Valid: 344
Invalid: 4089
Type: Discrete
Decimal: 0
Start: 43
End: 49
Width: 7
Range: -
Format:

Questions and instructions

Categories
Value Category
0 0
800
1000
1400
1500
1600
2000
2200
2400
2800
3000
4000
4200
4800
5000
5400
5600
6000
7000
8000
8400
9000
10000
11200
11400
12000
14000
15000
16000
18000
19000
20000
21000
22000
24000
25000
28000
30000
32500
33000
34600
35000
36000
40000
42000
48000
50000
51000
56000
60000
64000
65000
66000
70000
74000
75000
80000
90000
100000
110000
119500
120000
130000
138000
140000
150000
156000
162500
168000
200000
210000
226000
240000
270000
300000
315000
320000
360000
368000
378000
400000
420000
450200
542000
612000
672000
680000
700000
800000
841600
1000000
1008000
1231000
1300000
1680000
2315000
3840000
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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