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National Income Dynamics Study 2014

South Africa, 2014 - 2015
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Reference ID
ZAF_2014_NIDS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
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Agricultural Surveys
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Oct 07, 2020
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Nov 03, 2020
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e2_2_35 - Amount spent on health insurance in the last 30 days (w4_h_nfmedaidspn)

Data file: HHQuestionnaire_W4_Anon_V1.0

Overview

Valid: 786
Invalid: 11109
Minimum: -9
Maximum: 7200
Type: Discrete
Decimal: 0
Start: 1232
End: 1235
Width: 4
Range: -9 - 7200
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 78
9.9%
-8 Refused 2
0.3%
-5 Not Applicable 0
0%
-3 Missing 0
0%
10 1
0.1%
24 1
0.1%
30 1
0.1%
35 1
0.1%
45 1
0.1%
50 1
0.1%
55 1
0.1%
60 2
0.3%
70 1
0.1%
90 1
0.1%
99 1
0.1%
100 6
0.8%
104 1
0.1%
110 1
0.1%
120 3
0.4%
124 1
0.1%
128 1
0.1%
130 1
0.1%
142 1
0.1%
150 2
0.3%
152 1
0.1%
160 3
0.4%
170 1
0.1%
172 1
0.1%
175 1
0.1%
180 3
0.4%
184 1
0.1%
191 1
0.1%
195 1
0.1%
198 1
0.1%
200 9
1.1%
210 1
0.1%
220 2
0.3%
230 1
0.1%
231 1
0.1%
240 3
0.4%
250 3
0.4%
256 1
0.1%
260 1
0.1%
270 2
0.3%
271 1
0.1%
280 1
0.1%
300 6
0.8%
320 1
0.1%
329 1
0.1%
340 1
0.1%
350 5
0.6%
360 3
0.4%
375 1
0.1%
380 1
0.1%
390 1
0.1%
395 1
0.1%
400 8
1%
420 1
0.1%
450 4
0.5%
456 1
0.1%
463 1
0.1%
465 1
0.1%
468 1
0.1%
470 1
0.1%
480 3
0.4%
489 1
0.1%
495 1
0.1%
500 11
1.4%
540 1
0.1%
550 2
0.3%
560 2
0.3%
580 1
0.1%
589 1
0.1%
590 1
0.1%
600 14
1.8%
620 1
0.1%
629 1
0.1%
630 1
0.1%
648 1
0.1%
650 3
0.4%
660 2
0.3%
668 1
0.1%
676 1
0.1%
677 1
0.1%
685 1
0.1%
695 1
0.1%
700 8
1%
715 1
0.1%
722 1
0.1%
725 1
0.1%
727 1
0.1%
740 1
0.1%
750 3
0.4%
760 3
0.4%
770 1
0.1%
777 1
0.1%
780 2
0.3%
800 18
2.3%
811 1
0.1%
820 1
0.1%
831 1
0.1%
834 1
0.1%
835 1
0.1%
840 1
0.1%
850 1
0.1%
858 1
0.1%
868 1
0.1%
870 1
0.1%
880 4
0.5%
885 1
0.1%
888 1
0.1%
900 8
1%
945 1
0.1%
950 2
0.3%
980 3
0.4%
989 1
0.1%
1000 16
2%
1005 1
0.1%
1014 1
0.1%
1022 1
0.1%
1023 1
0.1%
1032 1
0.1%
1050 1
0.1%
1100 17
2.2%
1112 1
0.1%
1121 1
0.1%
1150 1
0.1%
1200 41
5.2%
1228 1
0.1%
1236 1
0.1%
1280 2
0.3%
1299 1
0.1%
1300 14
1.8%
1303 1
0.1%
1316 1
0.1%
1334 1
0.1%
1350 3
0.4%
1367 1
0.1%
1376 1
0.1%
1400 17
2.2%
1402 1
0.1%
1430 1
0.1%
1445 1
0.1%
1450 1
0.1%
1490 1
0.1%
1500 23
2.9%
1550 1
0.1%
1600 16
2%
1664 1
0.1%
1670 1
0.1%
1689 1
0.1%
1700 20
2.5%
1707 1
0.1%
1710 2
0.3%
1735 1
0.1%
1780 1
0.1%
1800 15
1.9%
1807 1
0.1%
1870 1
0.1%
1900 9
1.1%
1920 1
0.1%
1942 1
0.1%
1950 1
0.1%
1970 1
0.1%
2000 33
4.2%
2003 1
0.1%
2018 1
0.1%
2049 1
0.1%
2100 10
1.3%
2174 1
0.1%
2198 1
0.1%
2200 11
1.4%
2253 1
0.1%
2271 1
0.1%
2300 9
1.1%
2350 2
0.3%
2380 1
0.1%
2400 8
1%
2500 19
2.4%
2510 1
0.1%
2560 1
0.1%
2600 9
1.1%
2610 1
0.1%
2650 1
0.1%
2659 1
0.1%
2700 7
0.9%
2734 1
0.1%
2750 2
0.3%
2800 11
1.4%
2880 1
0.1%
2900 1
0.1%
2950 1
0.1%
2994 1
0.1%
3000 20
2.5%
3050 1
0.1%
3100 2
0.3%
3200 4
0.5%
3218 1
0.1%
3300 4
0.5%
3400 3
0.4%
3500 9
1.1%
3532 1
0.1%
3560 1
0.1%
3600 3
0.4%
3800 5
0.6%
3900 1
0.1%
3924 1
0.1%
3950 1
0.1%
4000 15
1.9%
4200 1
0.1%
4224 1
0.1%
4225 1
0.1%
4500 2
0.3%
4600 1
0.1%
4800 1
0.1%
5000 11
1.4%
5200 1
0.1%
5300 1
0.1%
5500 1
0.1%
5572 1
0.1%
5600 1
0.1%
5800 1
0.1%
6000 1
0.1%
6200 1
0.1%
6300 1
0.1%
6500 2
0.3%
6800 1
0.1%
7000 2
0.3%
7200 1
0.1%
Sysmiss 11109
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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