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    Home / Central Data Catalog / DATAFIRST / ZAF_2008_GHS_V01_M / variable [F12]
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General Household Survey 2008

South Africa, 2008
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Reference ID
ZAF_2008_GHS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 27, 2012
Last modified
Sep 21, 2021
Page views
40582
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  • Study Description
  • Data Description
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  • Data files
  • GHS 2008
    House_v1
  • GHS 2008
    Person_v1
  • GHS 2008
    Tourism_v1
  • GHS 2008
    Worker_v1

Amount paid on: Maintenance and repair (q415amai)

Data file: GHS 2008 House_v1

Overview

Valid: 24333
Invalid: 0
Type: Discrete
Decimal: 0
Start: 148
End: 154
Width: 7
Range: 0 - 9999999
Format: Numeric

Questions and instructions

Literal question
4.15 Amount paid on maintenance and repair of dwelling (existing buildings, swimming pools, etc. Including paints, wallpaper, etc.)
Categories
Value Category Cases
0 623
2.6%
3 1
0%
5 1
0%
10 2
0%
25 2
0%
30 4
0%
34 1
0%
39 1
0%
40 6
0%
45 5
0%
50 17
0.1%
56 1
0%
58 2
0%
60 11
0%
65 2
0%
66 1
0%
70 11
0%
72 1
0%
74 1
0%
75 6
0%
78 1
0%
80 8
0%
90 3
0%
95 1
0%
100 33
0.1%
101 1
0%
102 1
0%
105 3
0%
109 1
0%
110 5
0%
112 1
0%
116 1
0%
120 18
0.1%
128 1
0%
130 2
0%
132 1
0%
135 1
0%
136 1
0%
140 3
0%
145 1
0%
150 31
0.1%
153 1
0%
160 5
0%
164 1
0%
165 1
0%
169 1
0%
170 4
0%
175 3
0%
180 10
0%
190 1
0%
196 1
0%
200 60
0.2%
205 1
0%
210 3
0%
212 1
0%
220 8
0%
225 3
0%
230 3
0%
234 1
0%
235 1
0%
240 8
0%
250 20
0.1%
260 5
0%
270 4
0%
280 3
0%
300 58
0.2%
304 1
0%
307 1
0%
310 1
0%
320 3
0%
330 1
0%
340 2
0%
350 17
0.1%
358 1
0%
360 7
0%
364 1
0%
370 3
0%
380 3
0%
390 1
0%
400 34
0.1%
425 1
0%
450 11
0%
460 1
0%
470 1
0%
475 1
0%
480 2
0%
490 1
0%
500 88
0.4%
520 1
0%
530 2
0%
540 1
0%
546 1
0%
550 5
0%
560 2
0%
565 1
0%
570 1
0%
580 2
0%
600 48
0.2%
610 1
0%
620 1
0%
640 1
0%
645 1
0%
650 3
0%
660 2
0%
670 1
0%
675 1
0%
680 1
0%
700 28
0.1%
720 1
0%
750 4
0%
763 1
0%
775 1
0%
780 2
0%
800 40
0.2%
812 1
0%
818 1
0%
850 2
0%
860 1
0%
890 2
0%
900 21
0.1%
950 1
0%
1000 77
0.3%
1087 1
0%
1100 6
0%
1200 31
0.1%
1240 1
0%
1250 1
0%
1260 1
0%
1300 5
0%
1315 1
0%
1335 1
0%
1400 5
0%
1424 1
0%
1440 1
0%
1500 50
0.2%
1550 1
0%
1600 5
0%
1700 3
0%
1800 8
0%
1900 2
0%
1960 1
0%
2000 73
0.3%
2100 2
0%
2175 1
0%
2200 4
0%
2300 2
0%
2380 1
0%
2396 1
0%
2460 1
0%
2500 33
0.1%
2550 1
0%
2600 1
0%
2625 1
0%
2631 1
0%
2685 1
0%
2800 5
0%
2900 1
0%
2958 1
0%
3000 59
0.2%
3100 1
0%
3400 1
0%
3445 1
0%
3500 9
0%
3600 3
0%
3700 1
0%
3870 1
0%
4000 33
0.1%
4007 1
0%
4200 3
0%
4500 6
0%
4960 1
0%
5000 47
0.2%
5300 1
0%
5500 2
0%
5740 1
0%
6000 21
0.1%
6500 2
0%
7000 19
0.1%
7500 2
0%
8000 20
0.1%
8500 1
0%
9000 8
0%
10000 33
0.1%
11000 2
0%
11530 1
0%
12000 9
0%
13000 2
0%
14000 6
0%
15000 13
0.1%
16980 1
0%
17000 3
0%
18000 2
0%
20000 22
0.1%
21000 1
0%
22000 1
0%
23000 1
0%
24000 1
0%
25000 6
0%
26000 1
0%
27000 1
0%
28000 3
0%
30000 13
0.1%
32000 1
0%
33000 1
0%
34000 1
0%
35000 3
0%
36000 1
0%
40000 8
0%
45000 1
0%
48000 1
0%
50000 11
0%
60000 7
0%
65000 1
0%
70000 2
0%
75000 2
0%
80000 2
0%
90000 1
0%
100000 4
0%
140900 1
0%
179000 1
0%
250000 1
0%
1000000 1
0%
8888888 Not applicable 21927
90.1%
9999999 Unspecified 269
1.1%
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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