National Income Dynamics Study 2014-2015
South Africa, 2014 - 2015
Get MicrodataCreated on
Jun 28, 2016
Last modified
Mar 29, 2019
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Household Pre-imputation Vehicle Assets (w4_pi_v_ass)
Data file: hhderived_W4_Anon_V1.0
Overview
Valid:
1117
Invalid:
10778
Minimum:
1
Maximum:
4000000
Type:
Discrete
Decimal:
0
Start:
301
End:
307
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't Know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 1 | |
| 10 | |
| 30 | |
| 40 | |
| 45 | |
| 50 | |
| 60 | |
| 80 | |
| 185 | |
| 250 | |
| 450 | |
| 600 | |
| 900 | |
| 1000 | |
| 1400 | |
| 2000 | |
| 2300 | |
| 2500 | |
| 4000 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30030 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 40030 | |
| 40500 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 50000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56500 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 60015 | |
| 62000 | |
| 63000 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 93000 | |
| 95000 | |
| 98000 | |
| 100000 | |
| 100150 | |
| 101000 | |
| 102000 | |
| 105000 | |
| 106000 | |
| 110000 | |
| 112000 | |
| 115000 | |
| 116000 | |
| 118000 | |
| 120000 | |
| 125000 | |
| 127000 | |
| 130000 | |
| 131000 | |
| 135000 | |
| 140000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 158000 | |
| 158300 | |
| 160000 | |
| 168000 | |
| 169000 | |
| 170000 | |
| 175000 | |
| 176000 | |
| 180000 | |
| 185000 | |
| 187000 | |
| 189000 | |
| 190000 | |
| 198000 | |
| 200000 | |
| 210000 | |
| 211000 | |
| 215000 | |
| 220000 | |
| 221000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 242000 | |
| 250000 | |
| 254000 | |
| 255000 | |
| 256000 | |
| 260000 | |
| 261000 | |
| 264000 | |
| 268000 | |
| 277000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 320000 | |
| 325000 | |
| 330000 | |
| 335000 | |
| 337000 | |
| 343000 | |
| 345000 | |
| 350000 | |
| 355000 | |
| 360000 | |
| 375000 | |
| 400000 | |
| 410000 | |
| 415000 | |
| 420000 | |
| 440000 | |
| 450000 | |
| 455000 | |
| 470000 | |
| 480000 | |
| 500000 | |
| 510000 | |
| 520000 | |
| 524000 | |
| 550000 | |
| 573000 | |
| 592000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 700000 | |
| 720000 | |
| 730000 | |
| 780000 | |
| 800000 | |
| 830000 | |
| 900000 | |
| 1000000 | |
| 1024000 | |
| 1190000 | |
| 1200000 | |
| 1537000 | |
| 1600000 | |
| 1700000 | |
| 2200000 | |
| 2500000 | |
| 4000000 | |
| 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.