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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1114
Individual Pre-imputation Real Estate Debts (w4_pi_re_deb_i)
Data file: indderived_W4_Anon_V1.0
Overview
Valid:
347
Invalid:
41990
Minimum:
-6.75
Maximum:
14000000
Type:
Discrete
Decimal:
0
Start:
437
End:
444
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't Know |
| -8 | Refused |
| -6.75 | |
| -5 | Not Applicable |
| -4.5 | |
| -3 | Missing |
| -2.25 | |
| 1 | |
| 2 | |
| 300 | |
| 380 | |
| 397 | |
| 1200 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2500 | |
| 2700 | |
| 3000 | |
| 3500 | |
| 3750 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 4600 | |
| 5800 | |
| 9000 | |
| 10000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 25000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30600 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 40000 | |
| 43000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 54000 | |
| 55000 | |
| 59000 | |
| 60000 | |
| 64420 | |
| 67000 | |
| 67500 | |
| 69004 | |
| 70000 | |
| 70292 | |
| 72000 | |
| 74000 | |
| 75000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 95000 | |
| 98000 | |
| 99000 | |
| 99183 | |
| 100000 | |
| 100800 | |
| 104963 | |
| 109000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 121000 | |
| 125000 | |
| 127000 | |
| 129000 | |
| 130000 | |
| 136000 | |
| 138000 | |
| 140000 | |
| 150000 | |
| 154000 | |
| 155000 | |
| 158000 | |
| 160000 | |
| 168000 | |
| 170000 | |
| 180000 | |
| 191000 | |
| 195000 | |
| 200000 | |
| 210000 | |
| 218000 | |
| 219000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 247000 | |
| 250000 | |
| 257000 | |
| 260000 | |
| 269000 | |
| 270000 | |
| 280000 | |
| 290000 | |
| 296000 | |
| 298000 | |
| 300000 | |
| 325000 | |
| 330000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 378000 | |
| 380000 | |
| 394000 | |
| 400000 | |
| 426000 | |
| 430000 | |
| 440000 | |
| 445000 | |
| 447000 | |
| 450000 | |
| 460000 | |
| 465000 | |
| 470000 | |
| 487000 | |
| 489000 | |
| 500000 | |
| 510000 | |
| 528150 | |
| 540000 | |
| 550000 | |
| 590010 | |
| 600000 | |
| 650000 | |
| 680000 | |
| 700000 | |
| 720000 | |
| 780000 | |
| 800000 | |
| 850000 | |
| 880000 | |
| 900000 | |
| 980000 | |
| 1050000 | |
| 1055000 | |
| 1200000 | |
| 1300000 | |
| 1350000 | |
| 1395000 | |
| 1500000 | |
| 1600000 | |
| 2000000 | |
| 2700000 | |
| 2960000 | |
| 6100000 | |
| 14000000 | |
| 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.