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    Home / Data Portal / ARRRD / ZAF-MC-WISA-2007-2011-V1 / variable [V100]
ARRRD

Water Inequality in South Africa 2007-2011

South Africa, 2007 - 2011
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Reference ID
zaf-mc-wisa-2007-2011-v1
Producer(s)
Megan Cole
Collections
African Research Replication and Reproducibility Data African Centre of Excellence for Inequality Research
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 05, 2024
Last modified
Jun 06, 2024
Page views
12893
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  • Study Description
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  • Data files
  • wausa-access-district-mun-v1
  • wausa-access-local-mun-v1
  • wausa-access-province-v1
  • wausa-access-ward-v1
  • wausa-use-district-mun-v1
  • wausa-use-local-mun-v1
  • wausa-use-province-v1
  • wausa-use-town-v1

(District_Municipality)

Data file: wausa-use-town-v1

Overview

Valid: 846
Invalid: 0
Type: Discrete
loc_start_pos: 15
loc_end_pos: 39
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Alfred Nzo 9
1.1%
Amajuba 3
0.4%
Amathole 31
3.7%
Bonjanala 24
2.8%
Buffalo City 2
0.2%
Cacadu 40
4.7%
Cape Winelands 26
3.1%
Capricorn 37
4.4%
Central Karoo 10
1.2%
Chris Hani 27
3.2%
City of Cape Town 1
0.1%
City of Johannesburg 1
0.1%
City of Tshwane 8
0.9%
Dr Kenneth Kaunda 4
0.5%
Dr Ruth Segomotsi Mompati 30
3.5%
Eden 32
3.8%
Ehlanzeni 22
2.6%
Ekhurhuleni 1
0.1%
Fezile Dabi 13
1.5%
Frances Baard 9
1.1%
Gert Sibande 19
2.2%
Greater Sekhukhune 34
4%
Joe Gqabi 15
1.8%
John Taolo Gaetsewe 21
2.5%
Lejweleputswa 18
2.1%
Mangaung 1
0.1%
Mopani 22
2.6%
Namakwa 23
2.7%
Nelson Mandela Bay 1
0.1%
Ngaka Modiri Molema 39
4.6%
Nkangala 22
2.6%
OR Tambo 11
1.3%
Overberg 32
3.8%
Pixley ka Seme 23
2.7%
Sedibeng 3
0.4%
Sisonke 6
0.7%
Siyanda 14
1.7%
Thabo Mofutsanyane 23
2.7%
UMgungundlovu 11
1.3%
Ugu 9
1.1%
Umkhanyakude 9
1.1%
Umzinyathi 7
0.8%
Uthukela 11
1.3%
Uthungulu 12
1.4%
Vhembe 28
3.3%
Waterberg 21
2.5%
West Coast 41
4.8%
West Rand 4
0.5%
Xhariep 16
1.9%
Zululand 14
1.7%
eThekwini 1
0.1%
iLembe 5
0.6%
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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