National Income Dynamics Study 2014-2015
South Africa, 2014 - 2015
Get MicrodataCreated on
Jun 28, 2016
Last modified
Mar 29, 2019
Page views
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Household Pre-imputation Real Estate Assets (w4_pi_re_ass)
Data file: hhderived_W4_Anon_V1.0
Overview
Valid:
6078
Invalid:
5817
Minimum:
1
Maximum:
188500000
Type:
Discrete
Decimal:
0
Start:
284
End:
292
Width:
9
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't Know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 6 | |
| 7 | |
| 9 | |
| 10 | |
| 12 | |
| 15 | |
| 20 | |
| 25 | |
| 30 | |
| 35 | |
| 40 | |
| 48 | |
| 50 | |
| 60 | |
| 65 | |
| 70 | |
| 75 | |
| 90 | |
| 100 | |
| 150 | |
| 195 | |
| 200 | |
| 210 | |
| 220 | |
| 225 | |
| 250 | |
| 280 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 550 | |
| 600 | |
| 680 | |
| 700 | |
| 750 | |
| 780 | |
| 800 | |
| 900 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6400 | |
| 6500 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13200 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 24400 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 34500 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 41500 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 48500 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 92000 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 96000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 100500 | |
| 104500 | |
| 105000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 135000 | |
| 136000 | |
| 140000 | |
| 142000 | |
| 143000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 151500 | |
| 152000 | |
| 155000 | |
| 156000 | |
| 157000 | |
| 157500 | |
| 160000 | |
| 162000 | |
| 170000 | |
| 175000 | |
| 179000 | |
| 180000 | |
| 184000 | |
| 185000 | |
| 190000 | |
| 200000 | |
| 200002 | |
| 201000 | |
| 204000 | |
| 205000 | |
| 208000 | |
| 210000 | |
| 216500 | |
| 219000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 265000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 285000 | |
| 287000 | |
| 290000 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 320000 | |
| 323000 | |
| 330000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 410000 | |
| 415000 | |
| 420000 | |
| 425000 | |
| 428000 | |
| 429000 | |
| 430000 | |
| 449000 | |
| 450000 | |
| 455000 | |
| 460000 | |
| 470000 | |
| 480000 | |
| 483000 | |
| 490000 | |
| 500000 | |
| 505000 | |
| 518000 | |
| 520000 | |
| 525000 | |
| 526500 | |
| 530000 | |
| 545000 | |
| 550000 | |
| 560000 | |
| 570000 | |
| 580000 | |
| 590000 | |
| 600000 | |
| 605000 | |
| 610000 | |
| 630000 | |
| 640000 | |
| 645000 | |
| 650000 | |
| 656000 | |
| 660000 | |
| 666000 | |
| 670000 | |
| 700000 | |
| 720000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 800000 | |
| 815000 | |
| 820000 | |
| 830000 | |
| 850000 | |
| 860000 | |
| 875000 | |
| 890000 | |
| 900000 | |
| 900002 | |
| 900180 | |
| 950000 | |
| 960000 | |
| 970000 | |
| 980000 | |
| 1000000 | |
| 1000002 | |
| 1005000 | |
| 1007000 | |
| 1020000 | |
| 1050000 | |
| 1060000 | |
| 1100000 | |
| 1120000 | |
| 1130000 | |
| 1200000 | |
| 1225000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1430000 | |
| 1450000 | |
| 1470000 | |
| 1500000 | |
| 1600000 | |
| 1650000 | |
| 1700000 | |
| 1740000 | |
| 1800000 | |
| 1900000 | |
| 1920000 | |
| 1960000 | |
| 1985000 | |
| 2000000 | |
| 2050000 | |
| 2100000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2900000 | |
| 3000000 | |
| 3050000 | |
| 3100000 | |
| 3200000 | |
| 3300000 | |
| 3500000 | |
| 3700000 | |
| 4000000 | |
| 4200000 | |
| 4500000 | |
| 5000000 | |
| 5005000 | |
| 5200000 | |
| 5450000 | |
| 6000000 | |
| 6500000 | |
| 8000000 | |
| 8050000 | |
| 8300000 | |
| 8500000 | |
| 8600000 | |
| 9000003 | |
| 9900000 | |
| 10000000 | |
| 12000000 | |
| 13450000 | |
| 14000000 | |
| 45000000 | |
| 188500000 | |
| 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.