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    Home / Data Portal / ZAF-2010-UISP-2010-V1 / variable [F4]
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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
947586
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 Q4-10

Overview

Valid: 107
Invalid: 0
Type: Discrete
loc_start_pos: 1
loc_end_pos: 6
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
10749 2
1.9%
10874 1
0.9%
10939 1
0.9%
11131 2
1.9%
11169 2
1.9%
11184 1
0.9%
11341 2
1.9%
11374 2
1.9%
11379 1
0.9%
11398 1
0.9%
11407 1
0.9%
11441 2
1.9%
11515 1
0.9%
11578 1
0.9%
11718 1
0.9%
11897 1
0.9%
11901 1
0.9%
11942 1
0.9%
12070 1
0.9%
12093 1
0.9%
16921 1
0.9%
17103 2
1.9%
17117 1
0.9%
17184 1
0.9%
17234 1
0.9%
17291 1
0.9%
17328 2
1.9%
17350 1
0.9%
17360 1
0.9%
173995 1
0.9%
17510 2
1.9%
17548 1
0.9%
17619 2
1.9%
17624 2
1.9%
17739 2
1.9%
17829 1
0.9%
17922 1
0.9%
18090 1
0.9%
18468 1
0.9%
18480 1
0.9%
18491 2
1.9%
18516 1
0.9%
18554 2
1.9%
18568 2
1.9%
18579 2
1.9%
18881 1
0.9%
18928 1
0.9%
19175 2
1.9%
19240 1
0.9%
19301 1
0.9%
19439 1
0.9%
19660 1
0.9%
19668 1
0.9%
19763 1
0.9%
19771 2
1.9%
19859 1
0.9%
20114 1
0.9%
201144 1
0.9%
20126 1
0.9%
20130 2
1.9%
20140 1
0.9%
20342 1
0.9%
20575 2
1.9%
20788 2
1.9%
20887 1
0.9%
20912 1
0.9%
21175 2
1.9%
21253 1
0.9%
21317 1
0.9%
21412 4
3.7%
21431 1
0.9%
21467 1
0.9%
21612 1
0.9%
221414 1
0.9%
22230 1
0.9%
22325 1
0.9%
22533 2
1.9%
22576 1
0.9%
J30 1
0.9%
J40 1
0.9%
L005 1
0.9%
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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