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
169594
Downloads
4960
- 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
a7 the total value of items received during positive economic shocks (valuercv)
Data file: section7_2
Overview
Valid:
8297
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
45
End:
50
Width:
6
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -5 | other |
| -4 | missing data |
| -3 | refused to answer |
| -2 | not applicable |
| -1 | do not know |
| 0 | |
| 15 | |
| 20 | |
| 25 | |
| 50 | |
| 60 | |
| 150 | |
| 160 | |
| 170 | |
| 200 | |
| 300 | |
| 520 | |
| 625 | |
| 680 | |
| 690 | |
| 700 | |
| 740 | |
| 800 | |
| 900 | |
| 910 | |
| 950 | |
| 1000 | |
| 1440 | |
| 1600 | |
| 2000 | |
| 2100 | |
| 2270 | |
| 2300 | |
| 2500 | |
| 2880 | |
| 3000 | |
| 3600 | |
| 4160 | |
| 5000 | |
| 5300 | |
| 5700 | |
| 6000 | |
| 8000 | |
| 8800 | |
| 9000 | |
| 9600 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12300 | |
| 13000 | |
| 13500 | |
| 15000 | |
| 18000 | |
| 20000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 36000 | |
| 55000 | |
| 64000 | |
| 65000 | |
| 70000 | |
| 82000 | |
| 84000 | |
| 86000 | |
| 93000 | |
| 100000 | |
| 120000 | |
| 171000 | |
| 200000 |
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.