Home / Central Data Catalog / GHA-GSS-GLSS-2005-V2.0 / variable [F96]
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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
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 15, 2008
Last modified
Mar 21, 2016
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2nd Ent-amount spent on item in the past 12mths (s10gq13)

Data file: sec10g2-Other Expenditure- Second Enterprise

Overview

Valid: 344
Invalid: 4089
Type: Discrete
Decimal: 2
Width: 10
Range: 0 - 50976000
Format: Numeric

Questions and instructions

Literal question
How much did you spend on ... during the past 12 months?
Categories
Value Category Cases
0 0 2
0.6%
30 1
0.3%
2000 2
0.6%
5000 1
0.3%
5600 1
0.3%
6000 1
0.3%
10000 2
0.6%
11200 1
0.3%
12000 1
0.3%
14000 1
0.3%
15000 2
0.6%
19200 1
0.3%
20000 5
1.5%
24000 1
0.3%
25000 3
0.9%
26000 1
0.3%
28000 3
0.9%
33600 1
0.3%
36000 3
0.9%
36400 1
0.3%
40000 3
0.9%
41000 1
0.3%
42000 2
0.6%
45000 1
0.3%
48000 3
0.9%
50000 5
1.5%
57200 1
0.3%
57600 2
0.6%
60000 7
2%
64000 1
0.3%
66000 2
0.6%
68000 1
0.3%
70000 5
1.5%
72000 3
0.9%
75000 1
0.3%
78000 2
0.6%
80000 5
1.5%
84000 2
0.6%
88000 2
0.6%
90000 3
0.9%
96000 3
0.9%
100000 10
2.9%
100800 1
0.3%
104000 2
0.6%
110000 1
0.3%
112000 1
0.3%
115200 1
0.3%
120000 9
2.6%
125000 1
0.3%
128000 1
0.3%
130000 2
0.6%
134400 1
0.3%
135000 1
0.3%
140400 1
0.3%
144000 3
0.9%
150000 3
0.9%
153000 1
0.3%
156000 3
0.9%
160000 1
0.3%
180000 4
1.2%
182500 1
0.3%
192000 2
0.6%
196000 1
0.3%
198000 1
0.3%
200000 8
2.3%
201600 2
0.6%
218000 1
0.3%
226000 1
0.3%
232000 1
0.3%
240000 11
3.2%
246000 1
0.3%
250000 1
0.3%
252000 1
0.3%
260000 2
0.6%
270000 2
0.6%
280000 1
0.3%
288000 3
0.9%
296400 1
0.3%
300000 8
2.3%
312000 1
0.3%
315000 1
0.3%
320000 2
0.6%
340000 1
0.3%
350000 3
0.9%
352000 1
0.3%
360000 4
1.2%
384000 2
0.6%
385000 1
0.3%
390000 1
0.3%
398000 1
0.3%
400000 4
1.2%
405000 1
0.3%
420000 1
0.3%
450000 2
0.6%
468000 1
0.3%
472000 1
0.3%
480000 7
2%
500000 5
1.5%
504000 1
0.3%
510000 1
0.3%
600000 7
2%
705000 1
0.3%
720000 3
0.9%
768000 1
0.3%
780000 3
0.9%
800000 2
0.6%
840000 3
0.9%
888000 1
0.3%
960000 3
0.9%
990000 1
0.3%
1000000 4
1.2%
1040000 1
0.3%
1080000 3
0.9%
1092000 1
0.3%
1152000 2
0.6%
1200000 4
1.2%
1224000 1
0.3%
1248000 1
0.3%
1280000 1
0.3%
1300000 1
0.3%
1344000 1
0.3%
1420000 1
0.3%
1440000 2
0.6%
1456000 1
0.3%
1470000 1
0.3%
1500000 1
0.3%
1560000 2
0.6%
1656000 1
0.3%
1680000 1
0.3%
1720000 1
0.3%
1728000 1
0.3%
1800000 1
0.3%
1960000 1
0.3%
1980000 2
0.6%
2000000 4
1.2%
2250000 1
0.3%
2400000 6
1.7%
2500000 1
0.3%
2660000 1
0.3%
2700000 1
0.3%
2860000 1
0.3%
2880000 1
0.3%
3000000 1
0.3%
3055000 1
0.3%
3120000 2
0.6%
3276000 1
0.3%
3320000 1
0.3%
3360000 1
0.3%
3500000 2
0.6%
3600000 2
0.6%
3780000 1
0.3%
4368000 1
0.3%
4800000 1
0.3%
5040000 1
0.3%
6000000 2
0.6%
7050000 1
0.3%
7680000 1
0.3%
8160000 1
0.3%
9260000 1
0.3%
9600000 1
0.3%
9720000 1
0.3%
10800000 1
0.3%
10920000 1
0.3%
11016000 1
0.3%
12000000 1
0.3%
13353600 1
0.3%
14000000 1
0.3%
14400000 1
0.3%
15000000 1
0.3%
16128000 1
0.3%
20198400 1
0.3%
24000000 1
0.3%
24192000 1
0.3%
29544000 1
0.3%
32000000 1
0.3%
40320000 1
0.3%
46080000 1
0.3%
50976000 1
0.3%
Sysmiss 4089
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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