National Income Dynamics Study 2012
South Africa, 2012
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Reference ID
ZAF_2012_NIDS-W3_v04_M
Producer(s)
Southern Africa Labour and Development Research Unit
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
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e2_2_35 - Amount spent on health insurance in the last 30 days (w3_h_nfmedaidspn)
Data file: HHQuestionnaire_W3_Anon_V2.1
Overview
Valid:
635
Invalid:
9584
Minimum:
-9
Maximum:
20000
Type:
Discrete
Decimal:
0
Start:
1033
End:
1037
Width:
5
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 20 | |
| 28 | |
| 31 | |
| 35 | |
| 50 | |
| 60 | |
| 72 | |
| 80 | |
| 90 | |
| 95 | |
| 100 | |
| 110 | |
| 120 | |
| 124 | |
| 127 | |
| 140 | |
| 148 | |
| 150 | |
| 156 | |
| 160 | |
| 170 | |
| 172 | |
| 175 | |
| 180 | |
| 185 | |
| 192 | |
| 200 | |
| 206 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 265 | |
| 270 | |
| 280 | |
| 287 | |
| 289 | |
| 290 | |
| 300 | |
| 301 | |
| 320 | |
| 323 | |
| 331 | |
| 340 | |
| 350 | |
| 360 | |
| 364 | |
| 368 | |
| 400 | |
| 420 | |
| 425 | |
| 430 | |
| 438 | |
| 445 | |
| 450 | |
| 460 | |
| 466 | |
| 480 | |
| 486 | |
| 490 | |
| 500 | |
| 520 | |
| 525 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 575 | |
| 581 | |
| 590 | |
| 600 | |
| 612 | |
| 617 | |
| 620 | |
| 624 | |
| 640 | |
| 650 | |
| 655 | |
| 660 | |
| 662 | |
| 664 | |
| 676 | |
| 680 | |
| 682 | |
| 689 | |
| 690 | |
| 700 | |
| 720 | |
| 740 | |
| 750 | |
| 760 | |
| 765 | |
| 780 | |
| 786 | |
| 789 | |
| 792 | |
| 795 | |
| 800 | |
| 804 | |
| 822 | |
| 845 | |
| 850 | |
| 880 | |
| 888 | |
| 892 | |
| 900 | |
| 904 | |
| 905 | |
| 914 | |
| 920 | |
| 930 | |
| 950 | |
| 980 | |
| 988 | |
| 998 | |
| 1000 | |
| 1004 | |
| 1050 | |
| 1053 | |
| 1075 | |
| 1080 | |
| 1090 | |
| 1100 | |
| 1119 | |
| 1120 | |
| 1136 | |
| 1140 | |
| 1200 | |
| 1230 | |
| 1293 | |
| 1300 | |
| 1350 | |
| 1360 | |
| 1370 | |
| 1371 | |
| 1400 | |
| 1401 | |
| 1450 | |
| 1500 | |
| 1578 | |
| 1600 | |
| 1650 | |
| 1657 | |
| 1700 | |
| 1732 | |
| 1780 | |
| 1795 | |
| 1800 | |
| 1900 | |
| 1930 | |
| 2000 | |
| 2054 | |
| 2076 | |
| 2087 | |
| 2100 | |
| 2132 | |
| 2134 | |
| 2188 | |
| 2190 | |
| 2200 | |
| 2266 | |
| 2300 | |
| 2345 | |
| 2358 | |
| 2390 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2672 | |
| 2700 | |
| 2778 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3018 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4100 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 5400 | |
| 5500 | |
| 6000 | |
| 6600 | |
| 7000 | |
| 8500 | |
| 10000 | |
| 20000 | |
| Sysmiss |
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.