National Income Dynamics Study 2014-2015
South Africa, 2014 - 2015
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Jun 28, 2016
Last modified
Mar 29, 2019
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g32 - If net value of hh possessions is positive how much will be left over? (w4_a_assell_v)
Data file: Adult_W4_Anon_V1.0
Overview
Valid:
8769
Invalid:
18050
Minimum:
-9
Maximum:
2000000000
Type:
Discrete
Decimal:
0
Start:
7176
End:
7185
Width:
10
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't know |
| -8 | Refused |
| -5 | Not applicable |
| -3 | Missing |
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 7 | |
| 8 | |
| 10 | |
| 12 | |
| 15 | |
| 18 | |
| 20 | |
| 22 | |
| 25 | |
| 30 | |
| 32 | |
| 40 | |
| 45 | |
| 48 | |
| 50 | |
| 60 | |
| 66 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 100 | |
| 150 | |
| 180 | |
| 195 | |
| 200 | |
| 210 | |
| 240 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 413 | |
| 450 | |
| 500 | |
| 570 | |
| 590 | |
| 593 | |
| 600 | |
| 610 | |
| 630 | |
| 700 | |
| 705 | |
| 730 | |
| 740 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 960 | |
| 990 | |
| 1000 | |
| 1050 | |
| 1080 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1480 | |
| 1495 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2224 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2460 | |
| 2490 | |
| 2500 | |
| 2510 | |
| 2530 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2900 | |
| 2925 | |
| 3000 | |
| 3120 | |
| 3200 | |
| 3400 | |
| 3460 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4750 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5750 | |
| 5850 | |
| 5970 | |
| 5988 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6250 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7350 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8930 | |
| 9000 | |
| 9200 | |
| 9300 | |
| 9380 | |
| 9400 | |
| 9500 | |
| 9800 | |
| 9970 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 10600 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 12550 | |
| 12600 | |
| 12800 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 14810 | |
| 14950 | |
| 15000 | |
| 15250 | |
| 15500 | |
| 15600 | |
| 16000 | |
| 17000 | |
| 17300 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19160 | |
| 19300 | |
| 19500 | |
| 19600 | |
| 19800 | |
| 19986 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 23800 | |
| 24000 | |
| 24600 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 29600 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32200 | |
| 32800 | |
| 33000 | |
| 33400 | |
| 34000 | |
| 35000 | |
| 35700 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 40870 | |
| 41000 | |
| 41500 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 46100 | |
| 46500 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 53800 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 59000 | |
| 59400 | |
| 59900 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 64000 | |
| 64800 | |
| 65000 | |
| 67000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 74600 | |
| 75000 | |
| 75500 | |
| 76000 | |
| 77000 | |
| 77780 | |
| 78000 | |
| 78500 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 85003 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 97900 | |
| 98000 | |
| 99000 | |
| 99650 | |
| 99885 | |
| 100000 | |
| 102500 | |
| 103440 | |
| 105000 | |
| 107000 | |
| 110000 | |
| 112000 | |
| 114000 | |
| 114400 | |
| 115000 | |
| 116000 | |
| 120000 | |
| 122000 | |
| 123000 | |
| 125000 | |
| 129000 | |
| 130000 | |
| 135000 | |
| 138000 | |
| 140000 | |
| 145000 | |
| 146000 | |
| 147000 | |
| 148500 | |
| 150000 | |
| 153000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 163000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 179500 | |
| 180000 | |
| 190000 | |
| 194000 | |
| 195000 | |
| 197000 | |
| 198000 | |
| 199000 | |
| 199500 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 217500 | |
| 218000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 247200 | |
| 250000 | |
| 251000 | |
| 256200 | |
| 260000 | |
| 265000 | |
| 270000 | |
| 280000 | |
| 290000 | |
| 298000 | |
| 300000 | |
| 310000 | |
| 315000 | |
| 318200 | |
| 320000 | |
| 330000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 360000 | |
| 380000 | |
| 400000 | |
| 420000 | |
| 430000 | |
| 440000 | |
| 450000 | |
| 455000 | |
| 457000 | |
| 470000 | |
| 480000 | |
| 490000 | |
| 500000 | |
| 505000 | |
| 520000 | |
| 530000 | |
| 548000 | |
| 550000 | |
| 560000 | |
| 567000 | |
| 570000 | |
| 580000 | |
| 599000 | |
| 600000 | |
| 620000 | |
| 650000 | |
| 655000 | |
| 680000 | |
| 690000 | |
| 700000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 800000 | |
| 825000 | |
| 850000 | |
| 880000 | |
| 890000 | |
| 900000 | |
| 950000 | |
| 990000 | |
| 997000 | |
| 1000000 | |
| 1000030 | |
| 1040000 | |
| 1110000 | |
| 1150000 | |
| 1200000 | |
| 1300000 | |
| 1400000 | |
| 1500000 | |
| 1700000 | |
| 1800000 | |
| 1970000 | |
| 2000000 | |
| 2260000 | |
| 2400000 | |
| 2500000 | |
| 3000000 | |
| 3500000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5200000 | |
| 6000000 | |
| 8000000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 13000000 | |
| 14000000 | |
| 15000000 | |
| 17000000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 25000000 | |
| 100000000 | |
| 101000000 | |
| 250000000 | |
| 2000000000 | |
| 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.