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    Home / Data Portal / ZAF-2010-UISP-2010-V1 / variable [F5]
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Impact Evaluation of the Upgrading of Informal Settlements Programme 2010

South Africa, 2010
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Reference ID
zaf-2010-uisp-2010-v1
Producer(s)
Sebastian Martinez, Arianna Legovini, Nandini Krishnan, Aidan Coville
Metadata
DDI/XML JSON
Created on
Jul 31, 2012
Last modified
Nov 14, 2013
Page views
947507
Downloads
814667
  • Study Description
  • Data Description
  • Downloads
  • Get Microdata
  • Data files
  • Free State HH
    and individual
    dataset
  • FS_Crime Module
    7
  • FS_Enterprise
    Module 6
  • FS_Health Q4-10
  • FS_Health Q4-11
  • FS_Loans module
    5A
  • FS_Savings
    Module 5B
  • LP_Crime Module
    7
  • LP_Enterprise
    Module 6
  • LP_Health Q4-10
  • LP_Health Q4-11
  • LP_HH and
    individual
    dataset
  • LP_Loans module
    5A
  • LP_Savings
    Module 5B

Household unique identifier (Municipal grid number) (MGnum)

Data file: FS_Health Q4-11

Overview

Valid: 93
Invalid: 0
Type: Discrete
loc_start_pos: 1
loc_end_pos: 6
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1008 1
1.1%
10761 1
1.1%
10778 1
1.1%
10813 1
1.1%
10820 1
1.1%
10844 2
2.2%
10960 1
1.1%
11150 2
2.2%
11165 2
2.2%
11295 1
1.1%
11392 1
1.1%
11576 2
2.2%
11648 1
1.1%
11888 1
1.1%
12008 1
1.1%
12009 1
1.1%
12024 2
2.2%
12026 2
2.2%
12027 1
1.1%
16896 2
2.2%
16930 1
1.1%
16937 1
1.1%
16956 1
1.1%
16987 1
1.1%
17101 1
1.1%
17103 1
1.1%
17107 1
1.1%
17184 1
1.1%
17337 1
1.1%
17360 1
1.1%
17470 4
4.3%
17702 1
1.1%
17709 2
2.2%
17829 1
1.1%
17899 1
1.1%
17922 1
1.1%
17937 2
2.2%
18090 1
1.1%
18554 2
2.2%
18568 1
1.1%
18620 2
2.2%
18973 1
1.1%
19308 2
2.2%
19430 1
1.1%
19439 1
1.1%
19636 1
1.1%
19669 1
1.1%
19847 1
1.1%
19960 1
1.1%
19996 1
1.1%
20113 1
1.1%
20126 1
1.1%
20169 1
1.1%
20199 1
1.1%
20208 2
2.2%
20271 1
1.1%
20275 1
1.1%
20342 1
1.1%
20953 2
2.2%
21253 1
1.1%
21313 1
1.1%
21412 2
2.2%
21612 1
1.1%
21617 1
1.1%
21764 2
2.2%
21974 1
1.1%
22323 2
2.2%
22533 2
2.2%
22576 1
1.1%
22629 1
1.1%
22631 1
1.1%
E004 1
1.1%
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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