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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
960408
Downloads
814843

Household unique identifier (Municipal grid number) (MGnum)

Data file: FS_Loans module 5A

Overview

Valid: 216
Invalid: 0
Type: Discrete
loc_start_pos: 1
loc_end_pos: 6
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
10740 1
0.5%
10749 1
0.5%
10762 1
0.5%
10764 1
0.5%
10778 1
0.5%
10811 1
0.5%
10819 1
0.5%
10820 1
0.5%
10829 1
0.5%
10831 1
0.5%
10857 1
0.5%
10916 1
0.5%
10935 1
0.5%
10936 1
0.5%
10939 1
0.5%
11038 1
0.5%
11111 1
0.5%
11119 1
0.5%
111203 1
0.5%
11121 1
0.5%
11131 1
0.5%
11143 1
0.5%
11156 1
0.5%
11164 1
0.5%
11166 1
0.5%
11172 1
0.5%
11184 1
0.5%
11257 1
0.5%
11262 1
0.5%
11265 1
0.5%
11293 1
0.5%
11328 1
0.5%
11335 1
0.5%
11336 1
0.5%
11337 1
0.5%
11353 1
0.5%
11387 1
0.5%
11393 1
0.5%
11409 1
0.5%
11441 1
0.5%
11482 1
0.5%
11483 1
0.5%
11486 1
0.5%
11495 1
0.5%
11512 1
0.5%
11537 1
0.5%
11569 1
0.5%
11622 1
0.5%
11623 1
0.5%
11629 1
0.5%
11747 1
0.5%
11791 1
0.5%
11857 1
0.5%
11863 1
0.5%
11888 1
0.5%
11891 1
0.5%
11926 1
0.5%
11931 1
0.5%
11943 1
0.5%
11980 1
0.5%
11999 1
0.5%
12009 1
0.5%
12010 1
0.5%
12022 1
0.5%
12024 1
0.5%
12025 1
0.5%
12026 1
0.5%
12027 1
0.5%
12062 1
0.5%
12093 1
0.5%
12126 1
0.5%
16896 1
0.5%
16900 1
0.5%
16937 1
0.5%
16950 1
0.5%
17051 1
0.5%
17099 1
0.5%
17126 1
0.5%
17291 1
0.5%
17312 1
0.5%
17327 1
0.5%
17328 1
0.5%
1734 1
0.5%
17350 1
0.5%
17441 1
0.5%
17513 1
0.5%
17535 1
0.5%
17548 1
0.5%
17555 1
0.5%
17560 1
0.5%
17602 1
0.5%
17632 1
0.5%
17633 1
0.5%
17699 1
0.5%
17709 1
0.5%
17718 1
0.5%
17724 1
0.5%
17727 1
0.5%
17790 1
0.5%
17799 1
0.5%
17818 1
0.5%
17836 1
0.5%
17885 1
0.5%
17899 1
0.5%
17945 1
0.5%
17954 1
0.5%
18123 1
0.5%
18149 1
0.5%
18264 1
0.5%
18291 1
0.5%
18468 1
0.5%
18483 1
0.5%
18554 1
0.5%
18588 1
0.5%
18597 1
0.5%
18625 1
0.5%
18633 1
0.5%
18702 1
0.5%
18719 1
0.5%
18772 1
0.5%
18784 1
0.5%
18879 1
0.5%
18928 1
0.5%
18933 1
0.5%
18934 1
0.5%
18953 1
0.5%
18973 1
0.5%
18977 1
0.5%
19155 1
0.5%
19182 1
0.5%
19207 1
0.5%
19239 1
0.5%
19279 1
0.5%
19296 1
0.5%
19326 1
0.5%
19327 1
0.5%
19394 1
0.5%
19439 1
0.5%
19466 1
0.5%
19514 1
0.5%
19595 1
0.5%
19620 1
0.5%
19643 1
0.5%
19666 1
0.5%
19670 1
0.5%
19684 1
0.5%
19692 1
0.5%
19762 1
0.5%
19763 1
0.5%
19771 1
0.5%
19775 1
0.5%
19847 1
0.5%
19859 1
0.5%
20045 1
0.5%
20095 1
0.5%
20114 1
0.5%
20130 1
0.5%
20140 1
0.5%
20171 1
0.5%
20191 1
0.5%
20196 1
0.5%
20199 1
0.5%
20201 1
0.5%
20220 1
0.5%
20294 1
0.5%
20308 1
0.5%
20316 1
0.5%
20452 1
0.5%
20564 1
0.5%
20572 1
0.5%
20584 1
0.5%
20586 1
0.5%
20636 1
0.5%
20647 1
0.5%
20742 1
0.5%
20753 1
0.5%
20756 1
0.5%
20761 1
0.5%
20851 1
0.5%
20852 1
0.5%
20883 1
0.5%
20887 1
0.5%
20928 2
0.9%
20951 1
0.5%
21029 1
0.5%
21039 1
0.5%
21126 1
0.5%
21138 1
0.5%
21308 2
0.9%
21400 1
0.5%
21412 1
0.5%
21449 1
0.5%
21567 2
0.9%
21617 1
0.5%
21927 1
0.5%
21951 1
0.5%
22065 1
0.5%
22075 1
0.5%
22137 1
0.5%
221414 1
0.5%
22173 1
0.5%
22179 1
0.5%
22210 1
0.5%
22245 1
0.5%
22265 1
0.5%
22307 1
0.5%
22323 1
0.5%
22325 1
0.5%
22494 1
0.5%
22530 1
0.5%
22576 1
0.5%
C007 1
0.5%
E0011 1
0.5%
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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