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 Retirement Annuity Assets (w4_pi_s_ass)
Data file: hhderived_W4_Anon_V1.0
Overview
Valid:
614
Invalid:
11281
Minimum:
1
Maximum:
500000000
Type:
Discrete
Decimal:
0
Start:
316
End:
324
Width:
9
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -9 | Don't Know |
| -8 | Refused |
| -5 | Not Applicable |
| -3 | Missing |
| 1 | |
| 15 | |
| 50 | |
| 68 | |
| 100 | |
| 122 | |
| 150 | |
| 212 | |
| 220 | |
| 230 | |
| 234 | |
| 240 | |
| 250 | |
| 270 | |
| 301 | |
| 350 | |
| 500 | |
| 531 | |
| 550 | |
| 600 | |
| 753 | |
| 800 | |
| 810 | |
| 881 | |
| 900 | |
| 956 | |
| 1000 | |
| 1100 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1975 | |
| 2000 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 3000 | |
| 4000 | |
| 4500 | |
| 4518 | |
| 4562 | |
| 5000 | |
| 5500 | |
| 5849 | |
| 6000 | |
| 6900 | |
| 7300 | |
| 8000 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10080 | |
| 11000 | |
| 12000 | |
| 12489 | |
| 12500 | |
| 12870 | |
| 15000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 27600 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 35000 | |
| 35641 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 50000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 62000 | |
| 65000 | |
| 70000 | |
| 71000 | |
| 75000 | |
| 77000 | |
| 77500 | |
| 78000 | |
| 80000 | |
| 83000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 90000 | |
| 93000 | |
| 95000 | |
| 100000 | |
| 101000 | |
| 101300 | |
| 110000 | |
| 123000 | |
| 124000 | |
| 130000 | |
| 138000 | |
| 140000 | |
| 140900 | |
| 150000 | |
| 170000 | |
| 177500 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 217000 | |
| 235000 | |
| 238000 | |
| 250000 | |
| 270000 | |
| 274000 | |
| 275000 | |
| 275002 | |
| 280000 | |
| 295000 | |
| 300000 | |
| 311240 | |
| 325000 | |
| 355000 | |
| 375000 | |
| 400000 | |
| 418000 | |
| 420000 | |
| 430000 | |
| 450000 | |
| 477000 | |
| 500000 | |
| 500700 | |
| 505000 | |
| 506000 | |
| 550000 | |
| 555000 | |
| 600000 | |
| 650000 | |
| 680000 | |
| 700000 | |
| 712000 | |
| 750000 | |
| 775000 | |
| 795000 | |
| 800000 | |
| 850000 | |
| 860000 | |
| 875000 | |
| 950000 | |
| 997000 | |
| 1000000 | |
| 1025000 | |
| 1050000 | |
| 1100000 | |
| 1144000 | |
| 1200000 | |
| 1344000 | |
| 1477000 | |
| 1500000 | |
| 1700000 | |
| 1719000 | |
| 1800000 | |
| 1811200 | |
| 1894000 | |
| 2000000 | |
| 2200000 | |
| 2600000 | |
| 2750000 | |
| 2900000 | |
| 3000000 | |
| 3280000 | |
| 3400000 | |
| 3450000 | |
| 3459199 | |
| 4000400 | |
| 4515000 | |
| 5000000 | |
| 5300000 | |
| 7000000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 13050000 | |
| 17000000 | |
| 18000000 | |
| 20000000 | |
| 25005000 | |
| 35144000 | |
| 500000000 | |
| 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.