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    Home / Central Data Catalog / DATAFIRST / ZAF_2005_GHS_V02_M / variable [F8]
datafirst

General Household Survey 2005

South Africa, 2005
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Reference ID
ZAF_2005_GHS_v02_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
May 01, 2014
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48531
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  • Data files
  • GHS 2005
    House_v1
  • GHS 2005
    Person_v1
  • GHS 2005
    Tourism_v1
  • GHS 2005
    Worker_v1

Maintenance and repair (q415amai)

Data file: GHS 2005 House_v1

Overview

Valid: 28102
Invalid: 0
Type: Discrete
Decimal: 0
Start: 139
End: 145
Width: 7
Range: 0 - 9999999
Format: Numeric

Questions and instructions

Literal question
4.15 Amount paid on:

a. Maintenance and repair of dwelling (existing buildings, swimming pools, etc. Including paints, wallpaper, etc.)
Categories
Value Category Cases
0 687
2.4%
1 1
0%
10 6
0%
12 2
0%
15 5
0%
16 1
0%
20 20
0.1%
25 9
0%
26 1
0%
30 26
0.1%
35 10
0%
36 1
0%
40 14
0%
42 1
0%
45 8
0%
48 1
0%
50 35
0.1%
55 2
0%
57 1
0%
58 1
0%
60 34
0.1%
62 1
0%
64 2
0%
65 2
0%
70 12
0%
74 1
0%
75 8
0%
76 1
0%
80 27
0.1%
83 1
0%
85 5
0%
87 1
0%
90 19
0.1%
95 1
0%
96 1
0%
100 75
0.3%
104 1
0%
105 2
0%
110 12
0%
114 1
0%
115 1
0%
119 1
0%
120 41
0.1%
125 4
0%
130 3
0%
132 1
0%
135 2
0%
140 5
0%
146 1
0%
150 54
0.2%
151 1
0%
160 6
0%
167 1
0%
170 6
0%
175 3
0%
180 11
0%
185 1
0%
188 1
0%
190 4
0%
195 2
0%
200 84
0.3%
203 1
0%
205 1
0%
206 1
0%
210 2
0%
220 2
0%
225 1
0%
230 3
0%
240 4
0%
245 2
0%
250 33
0.1%
255 1
0%
256 1
0%
260 3
0%
270 3
0%
280 5
0%
288 1
0%
290 1
0%
300 65
0.2%
308 1
0%
312 1
0%
320 3
0%
330 1
0%
340 4
0%
350 8
0%
375 1
0%
385 1
0%
390 1
0%
395 1
0%
400 39
0.1%
420 2
0%
430 1
0%
440 1
0%
450 8
0%
460 1
0%
468 1
0%
480 2
0%
500 64
0.2%
510 1
0%
520 1
0%
525 1
0%
550 2
0%
560 2
0%
580 1
0%
586 1
0%
600 32
0.1%
610 1
0%
615 1
0%
640 1
0%
650 1
0%
680 2
0%
690 1
0%
695 1
0%
700 24
0.1%
720 1
0%
750 6
0%
780 1
0%
800 24
0.1%
805 1
0%
830 1
0%
850 4
0%
890 1
0%
898 1
0%
900 9
0%
917 1
0%
920 1
0%
960 1
0%
1000 56
0.2%
1100 2
0%
1110 1
0%
1120 1
0%
1200 11
0%
1300 9
0%
1372 1
0%
1380 1
0%
1400 2
0%
1500 36
0.1%
1600 5
0%
1700 3
0%
1800 10
0%
1900 2
0%
2000 46
0.2%
2020 1
0%
2100 1
0%
2200 3
0%
2300 1
0%
2400 1
0%
2500 15
0.1%
2510 1
0%
2650 1
0%
2700 1
0%
2800 3
0%
2840 1
0%
2950 1
0%
3000 48
0.2%
3250 1
0%
3450 1
0%
3500 6
0%
3700 2
0%
4000 23
0.1%
4200 1
0%
4500 7
0%
5000 31
0.1%
5500 1
0%
5800 1
0%
6000 18
0.1%
6500 2
0%
7000 16
0.1%
7700 1
0%
8000 7
0%
9000 3
0%
9500 1
0%
9800 1
0%
10000 33
0.1%
11000 4
0%
12000 9
0%
13000 3
0%
14000 2
0%
14700 1
0%
15000 17
0.1%
15600 1
0%
16000 1
0%
17000 1
0%
18000 3
0%
20000 16
0.1%
22500 1
0%
25000 6
0%
26000 1
0%
30000 13
0%
31000 1
0%
35000 2
0%
40000 2
0%
50000 5
0%
55000 1
0%
60000 4
0%
70000 2
0%
80000 1
0%
85000 1
0%
100000 2
0%
100110 1
0%
120000 2
0%
150000 1
0%
200000 1
0%
8888888 Not applicable 25739
91.6%
9999999 Unspecified 170
0.6%
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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