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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d14 - Value of repairs/ improvements on dwelling (w4_h_dwlrepr_v)
Data file: HHQuestionnaire_W4_Anon_V1.0
Overview
Valid:
2012
Invalid:
9883
Minimum:
-9
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
434
End:
440
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't Know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 0 | |
| 10 | |
| 15 | |
| 16 | |
| 40 | |
| 43 | |
| 45 | |
| 50 | |
| 69 | |
| 80 | |
| 100 | |
| 120 | |
| 125 | |
| 134 | |
| 140 | |
| 150 | |
| 160 | |
| 180 | |
| 200 | |
| 214 | |
| 230 | |
| 240 | |
| 250 | |
| 267 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 320 | |
| 340 | |
| 350 | |
| 360 | |
| 369 | |
| 380 | |
| 392 | |
| 400 | |
| 415 | |
| 420 | |
| 450 | |
| 480 | |
| 500 | |
| 520 | |
| 550 | |
| 600 | |
| 620 | |
| 650 | |
| 670 | |
| 699 | |
| 700 | |
| 730 | |
| 750 | |
| 770 | |
| 780 | |
| 800 | |
| 850 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1080 | |
| 1100 | |
| 1195 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1325 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1880 | |
| 1900 | |
| 2000 | |
| 2079 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3049 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3340 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4077 | |
| 4200 | |
| 4400 | |
| 4464 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5860 | |
| 5880 | |
| 6000 | |
| 6200 | |
| 6419 | |
| 6500 | |
| 6700 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 8470 | |
| 8500 | |
| 9000 | |
| 9300 | |
| 9700 | |
| 9800 | |
| 10000 | |
| 10075 | |
| 10500 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12300 | |
| 12500 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 15900 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 17900 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 33300 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 50000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 65000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 100000 | |
| 107000 | |
| 110000 | |
| 120000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 180000 | |
| 200000 | |
| 250000 | |
| 300000 | |
| 340000 | |
| 350000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 600000 | |
| 1000000 | |
| 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.