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    Home / Central Data Catalog / DATAFIRST / ZAF_2000_KMP_V01_M / variable [F3]
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Khayelitsha Mitchell's Plain Survey 2000

South Africa, 2000
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Reference ID
ZAF_2000_KMP_v01_M
Producer(s)
Southern Africa Labour and Development Research Unit
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 27, 2012
Last modified
May 01, 2014
Page views
125839
Downloads
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  • kmp2000hhld_7
  • kmp2000adult_15
  • kmp2000merged

Location of psu (location)

Data file: kmp2000merged

Overview

Valid: 4984
Invalid: 0
Type: Discrete
Decimal: 0
Start: 314
End: 315
Width: 2
Range: 1 - 46
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Gugulethu-New Rest 43
0.9%
2 Gugulethu-Kanana 45
0.9%
3 Gugulethu-Europe 43
0.9%
4 Gugulethu 325
6.5%
5 Nyanga-Lusaka 47
0.9%
6 Gugulethu-Tambo Sq 41
0.8%
7 Nyanga-KTC 110
2.2%
8 Old Crossroads-Gqobhasi 45
0.9%
9 Old Crossroads-Boys Town 38
0.8%
10 Old Crossroads 117
2.3%
11 Nyanga-Mpeta Sq 52
1%
12 New Crossroads 68
1.4%
13 Gugulethu-Waterfront 44
0.9%
14 Gugulethu-Kick Hostels 35
0.7%
15 Nyanga 170
3.4%
16 Lower Crossroads 46
0.9%
17 Browns Farm 344
6.9%
18 Browns Farm-S Machel 50
1%
19 Weltevreden Valley 68
1.4%
20 Ikwezi Park 45
0.9%
21 Khayelitsha-Taiwan 41
0.8%
22 Khayelitsha-SiteC 303
6.1%
23 Bongweni 53
1.1%
24 Khayelitsha-DM 25
0.5%
25 Khayelitsha-T Vilakazi 184
3.7%
26 Khayelitsha-SiteB 313
6.3%
27 Lentegeur 214
4.3%
28 Woodlands 177
3.6%
29 Beacon Valley 157
3.2%
30 Khayelitsha-SectD 32
0.6%
31 Khayelitsha-Green Point 34
0.7%
32 Khayelitsha-SectI 32
0.6%
33 Khayelitsha-SectE 28
0.6%
34 Khayelitsha-SectA 59
1.2%
35 Khayelitsha-Ilitha Park 29
0.6%
36 Khayelitsha-Town2 52
1%
37 Khayelitsha-G Mxenge 75
1.5%
38 Khayelitsha-Macassar 261
5.2%
39 Khayelitsha-Makhaya 59
1.2%
40 Khayelitsha-Harari 132
2.6%
41 Eastridge 126
2.5%
42 Tafelsig 329
6.6%
43 Portlands 129
2.6%
44 Rocklands 138
2.8%
45 Westridge 119
2.4%
46 Strandfontein 107
2.1%
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.
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