Home / Central Data Catalog / GHA-GSS-GLSS-2005-V2.0 / variable [F97]
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Ghana Living Standard Survey 5: 2005
With Non-Farm Household Enterprise Module

Ghana, 2005 - 2006
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Reference ID
GHA-GSS-GLSS-2005-v2.0
Producer(s)
Ghana Statistical Service (GSS)
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Demography
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Created on
Dec 15, 2008
Last modified
Mar 21, 2016
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1st Ent -was any of item purchased in the past 12mths? (s10hq5)

Data file: sec10h1-Assets of First Enterprise

Overview

Valid: 968
Invalid: 67076
Type: Discrete
Decimal: 2
Width: 10
Range: 0 - 400004000
Format: Numeric

Questions and instructions

Literal question
What is the value of ... purchased in the past 12 months? (IF GIFT PUT 0)
Categories
Value Category Cases
0 0 33
3.4%
2 3
0.3%
1000 4
0.4%
1500 3
0.3%
2000 8
0.8%
2500 5
0.5%
3000 5
0.5%
3500 1
0.1%
4000 11
1.1%
4500 1
0.1%
4800 1
0.1%
5000 24
2.5%
6000 9
0.9%
7000 6
0.6%
7500 2
0.2%
8000 6
0.6%
9000 2
0.2%
10000 38
3.9%
10500 1
0.1%
11000 1
0.1%
12000 16
1.7%
13000 3
0.3%
13500 1
0.1%
14000 4
0.4%
15000 29
3%
16000 1
0.1%
17000 2
0.2%
18000 5
0.5%
19000 1
0.1%
20000 44
4.5%
21000 2
0.2%
22000 2
0.2%
24000 4
0.4%
25000 17
1.8%
27000 1
0.1%
28000 4
0.4%
30000 43
4.4%
31000 1
0.1%
32000 4
0.4%
33000 1
0.1%
35000 24
2.5%
37000 1
0.1%
40000 42
4.3%
42000 2
0.2%
43000 2
0.2%
44000 2
0.2%
45000 23
2.4%
48000 1
0.1%
50000 46
4.8%
51000 1
0.1%
52000 2
0.2%
54000 1
0.1%
55000 5
0.5%
56000 2
0.2%
57000 2
0.2%
60000 26
2.7%
63000 1
0.1%
64000 1
0.1%
65000 7
0.7%
70000 20
2.1%
72000 1
0.1%
75000 9
0.9%
80000 19
2%
82000 2
0.2%
84000 2
0.2%
85000 3
0.3%
86000 1
0.1%
90000 9
0.9%
95000 2
0.2%
96000 1
0.1%
97500 1
0.1%
100000 30
3.1%
105000 1
0.1%
110000 3
0.3%
120000 14
1.4%
125000 4
0.4%
130000 4
0.4%
135000 2
0.2%
140000 14
1.4%
150000 24
2.5%
160000 6
0.6%
165000 1
0.1%
170000 5
0.5%
180000 4
0.4%
185000 1
0.1%
200000 22
2.3%
207000 1
0.1%
220000 6
0.6%
230000 2
0.2%
240000 3
0.3%
245000 1
0.1%
250000 11
1.1%
255000 1
0.1%
260000 2
0.2%
280000 1
0.1%
285000 1
0.1%
300000 10
1%
320000 1
0.1%
340000 1
0.1%
350000 10
1%
360000 2
0.2%
366000 1
0.1%
370000 1
0.1%
380000 2
0.2%
391000 1
0.1%
400000 6
0.6%
410000 1
0.1%
420000 3
0.3%
425000 1
0.1%
440000 1
0.1%
450000 7
0.7%
455000 1
0.1%
458000 1
0.1%
500000 7
0.7%
510000 1
0.1%
550000 3
0.3%
580000 1
0.1%
600000 7
0.7%
640000 1
0.1%
700000 2
0.2%
710000 1
0.1%
770000 1
0.1%
800000 3
0.3%
850000 2
0.2%
900000 6
0.6%
940000 1
0.1%
1000000 2
0.2%
1020000 1
0.1%
1050000 1
0.1%
1100000 1
0.1%
1150000 1
0.1%
1200000 9
0.9%
1250000 2
0.2%
1300000 3
0.3%
1386000 1
0.1%
1400000 2
0.2%
1450000 1
0.1%
1500000 7
0.7%
1550000 1
0.1%
1600000 1
0.1%
1700000 2
0.2%
1800000 2
0.2%
1929000 1
0.1%
2000000 3
0.3%
2400000 1
0.1%
2500000 6
0.6%
2600000 3
0.3%
2800000 3
0.3%
2850000 1
0.1%
3000000 2
0.2%
3500000 4
0.4%
4000000 6
0.6%
4060000 1
0.1%
4200000 1
0.1%
4300000 1
0.1%
4500000 2
0.2%
4700000 1
0.1%
5000000 8
0.8%
5400000 1
0.1%
5500000 1
0.1%
6000000 2
0.2%
6070000 1
0.1%
6200000 1
0.1%
7000000 1
0.1%
8000000 2
0.2%
9000000 1
0.1%
9400000 1
0.1%
11000000 2
0.2%
11200000 1
0.1%
11650000 1
0.1%
12000000 1
0.1%
15000000 1
0.1%
17000000 1
0.1%
20000000 1
0.1%
25000000 1
0.1%
30000000 2
0.2%
40000000 1
0.1%
120000000 1
0.1%
400000500 1
0.1%
400001000 1
0.1%
400004000 1
0.1%
Sysmiss 67076
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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