Home / Data Portal / RADE / ZAF-SALDRU-NIDSSD-2017-V1.0.0 / variable [F5]
RADE

National Income Dynamics Study 2017, Wave 5 Secure Data

South Africa, 2017
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Reference ID
zaf-saldru-nidssd-2017-v1.0.0
Producer(s)
Southern Africa Labour and Development Research Unit,
Collections
Secure Remote Access Data Enclave
Metadata
DDI/XML JSON
Created on
Aug 28, 2018
Last modified
Aug 29, 2018
Page views
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e2_2_14 - Amount spent on car payments in the last 30 days (w5_h_nfcarspn)

Data file: hhquestionnaire_w5_secure_v1.0.0

Overview

Valid: 920
Invalid: 12799
Type: Discrete
Decimal: 0
loc_start_pos: 1450
loc_end_pos: 1455
Width: 6
Range: -9 - 130000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 66
7.2%
-8 Refused 9
1%
-5 Not Applicable 0
0%
-3 Missing 0
0%
0 32
3.5%
60 1
0.1%
100 3
0.3%
130 1
0.1%
140 1
0.1%
150 1
0.1%
199 1
0.1%
250 2
0.2%
275 1
0.1%
300 7
0.8%
305 1
0.1%
320 1
0.1%
325 1
0.1%
328 1
0.1%
399 1
0.1%
400 3
0.3%
420 1
0.1%
438 1
0.1%
445 1
0.1%
450 3
0.3%
475 2
0.2%
480 3
0.3%
486 1
0.1%
500 3
0.3%
512 1
0.1%
515 1
0.1%
529 1
0.1%
540 1
0.1%
550 5
0.5%
570 1
0.1%
579 1
0.1%
580 2
0.2%
600 10
1.1%
620 1
0.1%
630 1
0.1%
650 3
0.3%
660 1
0.1%
674 1
0.1%
690 1
0.1%
695 1
0.1%
700 6
0.7%
720 1
0.1%
750 5
0.5%
790 1
0.1%
800 9
1%
805 1
0.1%
830 1
0.1%
841 1
0.1%
850 4
0.4%
860 1
0.1%
874 1
0.1%
900 4
0.4%
970 1
0.1%
980 3
0.3%
1000 13
1.4%
1012 1
0.1%
1040 1
0.1%
1050 1
0.1%
1100 6
0.7%
1200 15
1.6%
1250 1
0.1%
1300 9
1%
1333 1
0.1%
1400 5
0.5%
1500 9
1%
1550 1
0.1%
1583 1
0.1%
1700 1
0.1%
1800 6
0.7%
1900 3
0.3%
1925 1
0.1%
1937 1
0.1%
1950 1
0.1%
1990 1
0.1%
2000 25
2.7%
2042 1
0.1%
2100 3
0.3%
2109 1
0.1%
2200 8
0.9%
2204 1
0.1%
2300 9
1%
2400 10
1.1%
2500 35
3.8%
2600 12
1.3%
2700 8
0.9%
2775 1
0.1%
2800 6
0.7%
2850 1
0.1%
2900 3
0.3%
3000 53
5.8%
3021 1
0.1%
3040 1
0.1%
3100 9
1%
3120 1
0.1%
3150 1
0.1%
3200 7
0.8%
3269 1
0.1%
3300 6
0.7%
3333 1
0.1%
3337 1
0.1%
3350 1
0.1%
3375 1
0.1%
3400 8
0.9%
3500 36
3.9%
3600 9
1%
3700 5
0.5%
3743 1
0.1%
3750 1
0.1%
3800 7
0.8%
3865 1
0.1%
3900 5
0.5%
3999 1
0.1%
4000 31
3.4%
4070 1
0.1%
4100 4
0.4%
4150 1
0.1%
4160 1
0.1%
4181 1
0.1%
4200 7
0.8%
4240 1
0.1%
4300 9
1%
4350 1
0.1%
4370 1
0.1%
4400 3
0.3%
4500 28
3%
4550 1
0.1%
4600 4
0.4%
4700 6
0.7%
4777 1
0.1%
4800 6
0.7%
4820 1
0.1%
4860 1
0.1%
4900 3
0.3%
5000 26
2.8%
5100 1
0.1%
5200 5
0.5%
5215 1
0.1%
5250 1
0.1%
5259 1
0.1%
5373 1
0.1%
5400 1
0.1%
5500 8
0.9%
5600 6
0.7%
5700 3
0.3%
5800 2
0.2%
5900 3
0.3%
6000 38
4.1%
6057 1
0.1%
6200 4
0.4%
6300 2
0.2%
6500 4
0.4%
6600 2
0.2%
6700 3
0.3%
6800 2
0.2%
6900 1
0.1%
7000 16
1.7%
7200 1
0.1%
7300 2
0.2%
7400 1
0.1%
7500 5
0.5%
8000 5
0.5%
8080 1
0.1%
8100 1
0.1%
8300 2
0.2%
8500 3
0.3%
8800 1
0.1%
9000 5
0.5%
9200 1
0.1%
9300 1
0.1%
9332 1
0.1%
9500 4
0.4%
9700 1
0.1%
9800 1
0.1%
10000 12
1.3%
10189 1
0.1%
10300 1
0.1%
10400 1
0.1%
10500 2
0.2%
10800 1
0.1%
11000 1
0.1%
11600 1
0.1%
11700 1
0.1%
12000 4
0.4%
13000 5
0.5%
13800 1
0.1%
14000 6
0.7%
14100 1
0.1%
15000 6
0.7%
16000 5
0.5%
17000 1
0.1%
20000 1
0.1%
21000 2
0.2%
24000 2
0.2%
32000 1
0.1%
34000 1
0.1%
36400 1
0.1%
40000 1
0.1%
50000 1
0.1%
130000 1
0.1%
Sysmiss 12799
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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