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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V6510]
NIDS

National Income Dynamics Study 2014-2015, Wave 4

South Africa, 2014 - 2015
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Reference ID
zaf-saldru-nids-2014-2015-v2.0.0
Producer(s)
Southern Africa Labour and Development Research Unit,
Collections
National Income Dynamics Study African Centre of Excellence for Inequality Research Southern Africa Labour and Development Research Unit
Metadata
DDI/XML JSON
Created on
May 17, 2016
Last modified
Jul 18, 2023
Page views
1794152
Downloads
1182023
  • Study Description
  • Data Description
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  • Related Publications
  • Data files
  • Admin_W4_Anon_V2.0.0
  • Adult_W4_Anon_V2.0.0
  • Child_W4_Anon_V2.0.0
  • HHQuestionnaire_W4_Anon_V2.0.0
  • HouseholdRoster_W4_Anon_V2.0.0
  • indderived_W4_Anon_V2.0.0
  • Link_File_W4_Anon_V2.0.0
  • Proxy_W4_Anon_V2.0.0
  • hhderived_W4_Anon_V2.0.0

e2_2_14 - Amount spent on car payments in the last 30 days (w4_h_nfcarspn)

Data file: HHQuestionnaire_W4_Anon_V2.0.0

Overview

Valid: 571
Invalid: 11318
Type: Discrete
Decimal: 0
loc_start_pos: 1327
loc_end_pos: 1331
Width: 5
Range: -9 - 65000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 42
7.4%
-8 Refused 1
0.2%
-5 Not Applicable 0
0%
-3 Missing 0
0%
10 1
0.2%
38 1
0.2%
100 4
0.7%
120 1
0.2%
145 1
0.2%
162 1
0.2%
179 1
0.2%
180 1
0.2%
185 1
0.2%
200 1
0.2%
224 1
0.2%
250 2
0.4%
265 1
0.2%
270 4
0.7%
275 1
0.2%
280 1
0.2%
300 8
1.4%
330 1
0.2%
350 1
0.2%
380 1
0.2%
396 1
0.2%
400 7
1.2%
402 1
0.2%
429 1
0.2%
430 3
0.5%
445 1
0.2%
447 1
0.2%
450 7
1.2%
452 1
0.2%
460 2
0.4%
469 1
0.2%
470 1
0.2%
487 1
0.2%
500 10
1.8%
514 1
0.2%
518 1
0.2%
550 3
0.5%
555 1
0.2%
575 1
0.2%
600 10
1.8%
625 1
0.2%
638 1
0.2%
650 5
0.9%
695 1
0.2%
700 5
0.9%
750 3
0.5%
770 2
0.4%
777 1
0.2%
791 1
0.2%
800 4
0.7%
803 1
0.2%
850 2
0.4%
865 1
0.2%
872 1
0.2%
881 1
0.2%
900 3
0.5%
910 1
0.2%
920 1
0.2%
980 1
0.2%
997 1
0.2%
999 1
0.2%
1000 14
2.5%
1050 1
0.2%
1100 1
0.2%
1160 1
0.2%
1200 7
1.2%
1300 4
0.7%
1400 3
0.5%
1411 1
0.2%
1435 1
0.2%
1440 1
0.2%
1480 1
0.2%
1500 12
2.1%
1580 1
0.2%
1600 7
1.2%
1700 5
0.9%
1731 1
0.2%
1800 4
0.7%
1900 4
0.7%
2000 28
4.9%
2070 1
0.2%
2100 7
1.2%
2200 8
1.4%
2300 6
1.1%
2325 1
0.2%
2380 1
0.2%
2385 1
0.2%
2400 6
1.1%
2500 22
3.9%
2600 11
1.9%
2650 1
0.2%
2700 5
0.9%
2795 1
0.2%
2800 9
1.6%
2900 7
1.2%
2950 1
0.2%
2980 1
0.2%
3000 36
6.3%
3090 1
0.2%
3100 1
0.2%
3200 5
0.9%
3300 6
1.1%
3400 2
0.4%
3500 19
3.3%
3600 4
0.7%
3700 5
0.9%
3800 6
1.1%
3900 1
0.2%
4000 16
2.8%
4007 1
0.2%
4040 1
0.2%
4100 1
0.2%
4200 9
1.6%
4300 5
0.9%
4341 1
0.2%
4400 1
0.2%
4470 1
0.2%
4500 12
2.1%
4700 1
0.2%
4770 1
0.2%
4800 5
0.9%
4890 1
0.2%
5000 9
1.6%
5150 1
0.2%
5200 2
0.4%
5500 3
0.5%
5600 1
0.2%
5678 1
0.2%
5700 1
0.2%
5972 1
0.2%
6000 9
1.6%
6300 1
0.2%
6400 2
0.4%
6500 4
0.7%
6600 1
0.2%
6800 2
0.4%
6900 1
0.2%
7000 7
1.2%
7010 1
0.2%
7100 1
0.2%
7400 1
0.2%
7500 1
0.2%
7650 1
0.2%
7800 1
0.2%
7900 1
0.2%
8000 3
0.5%
8100 1
0.2%
9000 2
0.4%
9300 1
0.2%
9579 1
0.2%
9900 1
0.2%
10000 1
0.2%
11000 1
0.2%
12000 2
0.4%
12481 1
0.2%
13000 1
0.2%
14000 1
0.2%
15000 2
0.4%
20000 1
0.2%
65000 1
0.2%
Sysmiss 11318
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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