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    Home / Central Data Catalog / GHA_2005_GLSS_V01_M / variable [F59]
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
235111
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 unit price of sales in last 2wks (s10dq43)

Data file: sec10d2

Overview

Valid: 268
Invalid: 6757
Type: Discrete
Decimal: 0
Start: 93
End: 99
Width: 7
Range: -
Format:

Questions and instructions

Categories
Value Category
0 0
100
200
250
300
480
600
1000
1300
1500
1700
1800
2000
2500
2700
3000
3500
3666
4000
4500
5000
5500
6000
6500
7000
7500
8000
9000
10000
12000
13000
14000
15000
16000
18000
19000
20000
22000
24000
25000
26800
28000
28800
29000
30000
33000
34000
35000
36000
38000
40000
45000
48000
50000
55000
60000
66000
68000
70000
72000
74000
75000
80000
84000
90000
95000
96000
100000
110000
120000
125000
140000
150000
154000
159000
160000
168000
180000
192000
200000
210000
220000
225000
240000
250000
260000
290000
300000
350000
400000
420000
500000
550000
600000
680000
800000
1010000
1355000
3000000
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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