Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ZAF_2014_NIDS-W4_V01_EN_M_V01_A_OCS / variable [F14]
agricultural-surveys

National Income Dynamics Study 2014

South Africa, 2014 - 2015
Get Microdata
Reference ID
ZAF_2014_NIDS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 07, 2020
Last modified
Nov 03, 2020
Page views
37155
Downloads
199

d14 - Value of repairs/ improvements on dwelling (w4_h_dwlrepr_v)

Data file: HHQuestionnaire_W4_Anon_V1.0

Overview

Valid: 2012
Invalid: 9883
Minimum: -9
Maximum: 1000000
Type: Discrete
Decimal: 0
Start: 434
End: 440
Width: 7
Range: -9 - 1000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 280
13.9%
-8 Refused 2
0.1%
-5 Not Applicable 1
0%
-3 Missing 0
0%
0 13
0.6%
10 1
0%
15 2
0.1%
16 1
0%
40 1
0%
43 1
0%
45 1
0%
50 1
0%
69 1
0%
80 1
0%
100 6
0.3%
120 2
0.1%
125 1
0%
134 1
0%
140 4
0.2%
150 13
0.6%
160 2
0.1%
180 3
0.1%
200 25
1.2%
214 1
0%
230 1
0%
240 2
0.1%
250 7
0.3%
267 1
0%
270 1
0%
280 3
0.1%
290 1
0%
300 33
1.6%
320 2
0.1%
340 1
0%
350 6
0.3%
360 2
0.1%
369 1
0%
380 2
0.1%
392 1
0%
400 23
1.1%
415 1
0%
420 1
0%
450 4
0.2%
480 3
0.1%
500 62
3.1%
520 1
0%
550 1
0%
600 19
0.9%
620 1
0%
650 1
0%
670 1
0%
699 1
0%
700 26
1.3%
730 1
0%
750 2
0.1%
770 1
0%
780 1
0%
800 21
1%
850 1
0%
900 7
0.3%
950 3
0.1%
1000 59
2.9%
1050 3
0.1%
1080 1
0%
1100 4
0.2%
1195 1
0%
1200 25
1.2%
1250 1
0%
1300 6
0.3%
1325 1
0%
1350 1
0%
1400 2
0.1%
1500 46
2.3%
1550 1
0%
1600 4
0.2%
1700 3
0.1%
1800 10
0.5%
1880 1
0%
1900 1
0%
2000 90
4.5%
2079 1
0%
2100 1
0%
2200 2
0.1%
2300 5
0.2%
2400 4
0.2%
2500 47
2.3%
2700 3
0.1%
2800 1
0%
3000 88
4.4%
3049 1
0%
3200 4
0.2%
3250 1
0%
3300 1
0%
3340 1
0%
3350 1
0%
3400 1
0%
3500 20
1%
3600 1
0%
3700 2
0.1%
3800 3
0.1%
4000 41
2%
4077 1
0%
4200 3
0.1%
4400 1
0%
4464 1
0%
4500 9
0.4%
4600 1
0%
4700 1
0%
4800 2
0.1%
4900 1
0%
5000 99
4.9%
5200 1
0%
5500 2
0.1%
5600 2
0.1%
5700 1
0%
5800 1
0%
5860 1
0%
5880 1
0%
6000 42
2.1%
6200 1
0%
6419 1
0%
6500 5
0.2%
6700 1
0%
7000 35
1.7%
7500 2
0.1%
8000 47
2.3%
8400 1
0%
8470 1
0%
8500 3
0.1%
9000 5
0.2%
9300 1
0%
9700 1
0%
9800 1
0%
10000 91
4.5%
10075 1
0%
10500 1
0%
11000 10
0.5%
11500 1
0%
12000 22
1.1%
12300 1
0%
12500 4
0.2%
13000 4
0.2%
14000 7
0.3%
15000 63
3.1%
15900 1
0%
16000 9
0.4%
17000 10
0.5%
17500 1
0%
17900 1
0%
18000 13
0.6%
18500 1
0%
19000 3
0.1%
20000 68
3.4%
21000 3
0.1%
22000 3
0.1%
23000 3
0.1%
24000 3
0.1%
25000 33
1.6%
26000 1
0%
27000 3
0.1%
28000 2
0.1%
30000 38
1.9%
31000 1
0%
32000 3
0.1%
33300 1
0%
34000 1
0%
35000 15
0.7%
36000 1
0%
36500 1
0%
38000 2
0.1%
39000 1
0%
40000 31
1.5%
42000 2
0.1%
44000 1
0%
45000 6
0.3%
50000 30
1.5%
54000 1
0%
55000 5
0.2%
56000 1
0%
58000 1
0%
60000 19
0.9%
62000 1
0%
63000 1
0%
65000 5
0.2%
70000 12
0.6%
75000 4
0.2%
80000 11
0.5%
85000 1
0%
90000 2
0.1%
100000 13
0.6%
107000 1
0%
110000 1
0%
120000 4
0.2%
130000 3
0.1%
140000 1
0%
150000 16
0.8%
160000 3
0.1%
180000 2
0.1%
200000 13
0.6%
250000 5
0.2%
300000 7
0.3%
340000 1
0%
350000 1
0%
400000 1
0%
450000 1
0%
500000 2
0.1%
600000 1
0%
1000000 1
0%
Sysmiss 9883
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.
Back to Catalog