KwaZulu-Natal Income Dynamics Study 2004
South Africa, , 2004
Reference ID
ZAF_2004_KIDS_v01_M
Producer(s)
Julian May, Michael R. Carter, Jorge Agüero, Ian M. Timæus
Created on
Nov 17, 2011
Last modified
Mar 29, 2019
Page views
144712
Downloads
3924
- Data files
- cover
- hhcard
- roster2004
- section1_3
- section1_4
- section1_6
- section2
- section3
- section4_1
- section4_2
- section4_3
- section4_4
- section4_5
- section5_1
- section5_2
- section6
- section7_1
- section7_2
- section8_1_1
- section8_1_2
- section8_1_3
- section8_1_4a
- section8_1_4b
- section8_1_4linear
- section8_2_1
- section8_2_2
- section8_2_3
- section8_3
- section8_4
- section8_5
- section8_6
- section9_1
- section9_2
- section9_3
- section9_4
- section9_5
- section9_6a
- section10_1
- section10_2
- section10_3
- section11_1
- section11_2_1
- section11_2_2
- section11_3a
- section11_3b
- section12_1
- section12_2
- section13_1
- section13_2
- section13_3
- expend04
- foodexp
- hhxhous
- hhxrem
- hhyagr
- hhycas
- hhyhous
- hhynlab
- hhyreg
- hhyrem
- hhysemp
- income04
- occnfexp
- regnfexp
- ycas
- yreg
q2.1.8. value of the dwelling today (sale_val)
Data file: section2
Overview
Valid:
1377
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
28
End:
34
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -5 | other |
| -4 | missing data |
| -3 | refused to answer |
| -2 | not applicable |
| -1 | do not know |
| 200 | |
| 300 | |
| 500 | |
| 800 | |
| 1000 | |
| 1200 | |
| 1500 | |
| 1600 | |
| 1800 | |
| 2000 | |
| 2300 | |
| 2500 | |
| 3000 | |
| 3400 | |
| 3500 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8900 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 11600 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 27100 | |
| 28000 | |
| 30000 | |
| 34000 | |
| 35000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 55500 | |
| 57000 | |
| 58000 | |
| 59600 | |
| 60000 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 95000 | |
| 97500 | |
| 99000 | |
| 100000 | |
| 101000 | |
| 110000 | |
| 118000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 135000 | |
| 138000 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 187000 | |
| 190000 | |
| 195000 | |
| 198000 | |
| 200000 | |
| 220000 | |
| 230000 | |
| 235000 | |
| 240000 | |
| 250000 | |
| 265000 | |
| 270000 | |
| 275000 | |
| 293000 | |
| 300000 | |
| 320000 | |
| 350000 | |
| 395000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 520000 | |
| 600000 | |
| 650000 | |
| 700000 | |
| 750000 | |
| 800000 | |
| 1000000 | |
| 1200000 | |
| 1500000 |
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.