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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m4 - Expected income of household in 5 years time (w4_a_fwbinc5yr)
Data file: Adult_W4_Anon_V1.0
Overview
Valid:
20071
Invalid:
6748
Minimum:
-30000
Maximum:
200000000
Type:
Discrete
Decimal:
0
Start:
6303
End:
6311
Width:
9
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -30000 | |
| -9 | Don't Know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 0 | |
| 1 | Yes |
| 2 | No |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 9 | |
| 10 | |
| 12 | |
| 15 | |
| 18 | |
| 20 | |
| 25 | |
| 26 | |
| 30 | |
| 35 | |
| 40 | |
| 45 | |
| 50 | |
| 55 | |
| 60 | |
| 70 | |
| 80 | |
| 100 | |
| 200 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2200 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2420 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3540 | |
| 3600 | |
| 3610 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6710 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7777 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8500 | |
| 8700 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9300 | |
| 9500 | |
| 9700 | |
| 9750 | |
| 9800 | |
| 9900 | |
| 10000 | |
| 10250 | |
| 10500 | |
| 10900 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 12000 | |
| 12200 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15200 | |
| 15500 | |
| 15600 | |
| 15800 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 18600 | |
| 18700 | |
| 18900 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23580 | |
| 24000 | |
| 24300 | |
| 24900 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 44000 | |
| 44500 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 60500 | |
| 62000 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 74000 | |
| 75000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 90000 | |
| 91000 | |
| 95000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 102000 | |
| 110000 | |
| 120000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 195000 | |
| 200000 | |
| 220000 | |
| 250000 | |
| 270000 | |
| 300000 | |
| 320000 | |
| 350000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 520000 | |
| 600000 | |
| 650000 | |
| 700000 | |
| 750000 | |
| 789000 | |
| 800000 | |
| 900000 | |
| 1000000 | |
| 1500000 | |
| 2000000 | |
| 3000000 | |
| 4000000 | |
| 5000000 | |
| 6000000 | |
| 7000000 | |
| 7300000 | |
| 8000000 | |
| 8500000 | |
| 9000000 | |
| 9500000 | |
| 10000000 | |
| 14000000 | |
| 15000000 | |
| 20000000 | |
| 50000000 | |
| 65000000 | |
| 75000000 | |
| 90000000 | |
| 100000000 | |
| 200000000 | |
| 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.