Khayelitsha Integrated Family Survey 2002-2005
South Africa, 2002 - 2005
Get Microdata
Reference ID
ZAF_2002-2005_KIFS_v01_M
Producer(s)
Professor Anne Case
Collection(s)
Metadata
Created on
Jan 27, 2012
Last modified
May 01, 2014
Page views
115353
Downloads
1536
- Data files
- khay02030405_hh_p_pinc_spl_200906
- khay05_ad_spl_200906
- khay02030405_ad_200906
- khay02030405_ch_200906
- khay02030405_ch_spl_200906
- khay02030405_hh_comrd_200906
- khay02030405_hh_died_200906
- khay02030405_hh_h_200906
- khay02030405_hh_h_spl_200906
- khay02030405_hh_moved_200906
- khay02030405_hh_moved_spl_200906
- khay02030405_hh_mrd_200906
- khay02030405_hh_p_pinc_200906
What town moved from (H_movedfrom)
Data file: khay02030405_hh_p_pinc_200906
Overview
Valid:
384
Type:
Discrete
Start:
964
End:
985
Width:
22
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| . | 9 |
2.3%
|
|
| 999 | 1 |
0.3%
|
|
| Alice | 2 |
0.5%
|
|
| Alwal North | 1 |
0.3%
|
|
| Ashton | 1 |
0.3%
|
|
| Beafort West | 1 |
0.3%
|
|
| Begville | 3 |
0.8%
|
|
| Bergerstob | 1 |
0.3%
|
|
| Bloemfontein | 1 |
0.3%
|
|
| Butterworth | 5 |
1.3%
|
|
| Cala | 4 |
1%
|
|
| Carthcart | 2 |
0.5%
|
|
| Centane | 6 |
1.6%
|
|
| Centani | 2 |
0.5%
|
|
| Centnanie | 4 |
1%
|
|
| Cofimvaba | 9 |
2.3%
|
|
| Cross- Roads | 1 |
0.3%
|
|
| Crossroads | 10 |
2.6%
|
|
| Crossroads Khayelitsha | 2 |
0.5%
|
|
| Crossroads Nyanga | 1 |
0.3%
|
|
| D section Khayelitsha | 1 |
0.3%
|
|
| Debe | 3 |
0.8%
|
|
| Durban | 2 |
0.5%
|
|
| Durbanville | 2 |
0.5%
|
|
| East London | 3 |
0.8%
|
|
| Elliot | 1 |
0.3%
|
|
| Elliotdale | 1 |
0.3%
|
|
| Engcobo | 5 |
1.3%
|
|
| Enidwe | 2 |
0.5%
|
|
| Enqcobo | 2 |
0.5%
|
|
| F Section Town 2 | 3 |
0.8%
|
|
| Fort Beaufort | 2 |
0.5%
|
|
| Free State | 1 |
0.3%
|
|
| Gatyama | 1 |
0.3%
|
|
| Gcuwa | 2 |
0.5%
|
|
| Graaff-Reinet | 4 |
1%
|
|
| Gugulethu | 5 |
1.3%
|
|
| Guguletu | 1 |
0.3%
|
|
| Hanover | 1 |
0.3%
|
|
| Harare | 1 |
0.3%
|
|
| Hofmeyer | 1 |
0.3%
|
|
| Hope Town | 1 |
0.3%
|
|
| Idutwya | 1 |
0.3%
|
|
| Idutywa | 13 |
3.4%
|
|
| Indwe | 1 |
0.3%
|
|
| JHB | 1 |
0.3%
|
|
| Johanesburg | 4 |
1%
|
|
| Johannesburg | 5 |
1.3%
|
|
| Johansburg | 3 |
0.8%
|
|
| K.K. Hoek | 3 |
0.8%
|
|
| Kieskammahoek | 1 |
0.3%
|
|
| King Wiliam's Town | 3 |
0.8%
|
|
| King Williams Town | 10 |
2.6%
|
|
| King Williamstown | 1 |
0.3%
|
|
| Kuyasa | 1 |
0.3%
|
|
| Lady Free | 5 |
1.3%
|
|
| Lady Frere | 38 |
9.9%
|
|
| Ladyfree | 1 |
0.3%
|
|
| Langa | 16 |
4.2%
|
|
| Lusikisiki | 2 |
0.5%
|
|
| Lusiksiki | 1 |
0.3%
|
|
| Macassar | 1 |
0.3%
|
|
| Maclear | 3 |
0.8%
|
|
| Makaya | 1 |
0.3%
|
|
| Makhaya Mandele Park | 1 |
0.3%
|
|
| Makhaza | 1 |
0.3%
|
|
| Mannenberg | 1 |
0.3%
|
|
| Matatiele | 2 |
0.5%
|
|
| Middeldrift | 1 |
0.3%
|
|
| Mount Fletcher | 7 |
1.8%
|
|
| Mount Frere | 1 |
0.3%
|
|
| Mt Fletcher | 12 |
3.1%
|
|
| Mt Frere | 1 |
0.3%
|
|
| Mzikhulu | 1 |
0.3%
|
|
| Ngamakhune | 1 |
0.3%
|
|
| Ngcobo | 3 |
0.8%
|
|
| Nqgamenke | 1 |
0.3%
|
|
| Nyanga | 6 |
1.6%
|
|
| Nyanga, Cape Town | 1 |
0.3%
|
|
| Phillipi | 3 |
0.8%
|
|
| Port Elizabeth | 7 |
1.8%
|
|
| Port North | 1 |
0.3%
|
|
| Qobo-Qobo | 3 |
0.8%
|
|
| Qobo-qobo | 1 |
0.3%
|
|
| Qoboqobo | 1 |
0.3%
|
|
| Qonce | 4 |
1%
|
|
| Queen's Town | 1 |
0.3%
|
|
| Queenstown | 3 |
0.8%
|
|
| Qumbu | 6 |
1.6%
|
|
| Randburg | 2 |
0.5%
|
|
| Robertson | 1 |
0.3%
|
|
| Sada | 1 |
0.3%
|
|
| Seymour | 2 |
0.5%
|
|
| Site C | 1 |
0.3%
|
|
| Somerset West | 2 |
0.5%
|
|
| Somerset east | 1 |
0.3%
|
|
| Spruit | 1 |
0.3%
|
|
| Stakestroom | 1 |
0.3%
|
|
| Steenberg | 1 |
0.3%
|
|
| Stellenbosch | 2 |
0.5%
|
|
| Sterkspruit | 6 |
1.6%
|
|
| Stolo | 3 |
0.8%
|
|
| Stutterheim | 6 |
1.6%
|
|
| Transkei | 3 |
0.8%
|
|
| Tsitsani | 1 |
0.3%
|
|
| Tsolo | 10 |
2.6%
|
|
| Tsomo | 8 |
2.1%
|
|
| Ugie | 1 |
0.3%
|
|
| Umtata | 13 |
3.4%
|
|
| Willovale | 4 |
1%
|
|
| Willowvale | 12 |
3.1%
|
|
| Wittlesea | 1 |
0.3%
|
|
| Worcester | 3 |
0.8%
|
|
| Xesi | 1 |
0.3%
|
|
| umtata | 1 |
0.3%
|
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.