Home / Central Data Catalog / GHA-GSS-GLSS 4-1998-V2.0 / variable [F27]
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Ghana Living Standard Survey 4 - 1998
With labour force model

Ghana, 1998 - 1999
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Reference ID
GHA-GSS-GLSS 4-1998-v2.0
Producer(s)
Ghana Statistical Service (GSS)
Collections
Demography
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 06, 2009
Last modified
Mar 21, 2016
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How much would sell item2 today (s10cq2b)

Data file: Sec10c1-Assets -1st, 2nd and 3rd enterprises

Overview

Valid: 1158
Valid (weighted): 1279.835
Invalid: 1566
Invalid (weighted): 1671.822
Minimum: 0
Maximum: 650001050
Mean: 805617.013
Mean (weighted): 678514.159
Standard deviation: 19238998.199
Standard deviation (weighted): 16955043.889
Type: Discrete
Decimal: 2
Width: 8
Range: 0 - 650001050
Format: Numeric
Weighted variable: V764

Questions and instructions

Categories
Value Category Cases Weighted
0 12 10
0.8%
1 1 1
0.1%
100 2 2
0.1%
150 2 2
0.1%
200 4 5
0.4%
300 2 1
0.1%
350 1 1
0.1%
400 2 2
0.1%
500 19 19
1.5%
600 6 7
0.6%
700 4 2
0.1%
750 2 1
0.1%
800 6 6
0.4%
1000 39 35
2.7%
1100 1 1
0%
1200 2 2
0.1%
1400 1 1
0.1%
1500 29 38
3%
1700 1 1
0.1%
1800 1 0
0%
2000 45 47
3.7%
2500 11 11
0.9%
3000 38 38
2.9%
3500 8 7
0.6%
3800 1 1
0.1%
4000 37 32
2.5%
4200 2 1
0.1%
4500 7 5
0.4%
4800 1 1
0.1%
5000 66 79
6.2%
5400 2 3
0.2%
5500 4 9
0.7%
6000 37 42
3.3%
6500 4 3
0.3%
7000 23 22
1.7%
7500 6 6
0.5%
8000 33 35
2.8%
8500 1 5
0.4%
9000 16 13
1%
9500 1 0
0%
10000 56 82
6.4%
10500 1 0
0%
11000 4 5
0.4%
11500 2 2
0.2%
12000 22 17
1.4%
13000 7 6
0.5%
13500 1 1
0.1%
14000 13 20
1.5%
15000 45 38
3%
16000 8 12
0.9%
17000 3 2
0.2%
18000 11 14
1.1%
18500 1 2
0.2%
19000 1 1
0.1%
20000 55 61
4.8%
21000 4 7
0.6%
22000 6 5
0.4%
23000 1 2
0.1%
24000 7 8
0.6%
25000 27 30
2.3%
26000 2 2
0.1%
28000 2 2
0.1%
30000 33 43
3.4%
35000 21 25
1.9%
36000 1 1
0.1%
38000 2 2
0.1%
40000 29 26
2%
42000 1 1
0%
44000 1 1
0.1%
45000 7 8
0.6%
48000 1 1
0%
50000 19 20
1.5%
54000 1 3
0.3%
55000 5 3
0.3%
56000 1 0
0%
60000 18 19
1.5%
65000 2 2
0.2%
70000 13 13
1%
75000 4 3
0.2%
76000 2 1
0.1%
80000 20 26
2%
85000 2 3
0.2%
88000 1 1
0.1%
90000 7 7
0.5%
95000 1 2
0.2%
100000 15 11
0.9%
105000 1 2
0.2%
110000 2 2
0.1%
120000 18 17
1.3%
130000 2 2
0.1%
135000 1 1
0.1%
140000 1 4
0.3%
145000 1 3
0.2%
150000 30 36
2.8%
160000 1 1
0.1%
170000 1 1
0.1%
180000 8 6
0.5%
200000 19 20
1.6%
210000 1 1
0.1%
220000 2 4
0.3%
225000 1 1
0.1%
250000 12 17
1.3%
260000 2 2
0.2%
280000 2 2
0.1%
295000 1 0
0%
300000 10 14
1.1%
320000 1 1
0.1%
330000 1 1
0%
350000 7 15
1.2%
360000 1 4
0.3%
380000 2 7
0.5%
400000 11 16
1.3%
450000 4 8
0.6%
490000 1 1
0.1%
500000 5 6
0.5%
550000 1 1
0.1%
570000 1 1
0.1%
600000 5 7
0.6%
700000 3 3
0.2%
800000 2 2
0.2%
850000 1 0
0%
900000 1 4
0.3%
1000000 3 4
0.3%
1200000 3 2
0.2%
1700000 1 1
0%
2100000 2 1
0.1%
2200000 1 1
0%
2500000 1 1
0.1%
3000000 1 1
0.1%
3120000 1 1
0.1%
3500000 1 1
0.1%
4800000 1 1
0.1%
5000000 2 4
0.3%
5500000 1 1
0.1%
6000000 1 1
0.1%
6500000 1 1
0%
8000000 2 1
0.1%
10000000 1 2
0.2%
12000000 1 1
0.1%
13000000 1 1
0.1%
20000000 2 4
0.3%
70000000 1 0
0%
650001050 1 1
0.1%
Sysmiss 1566 1672
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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