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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
960059
Downloads
814841

Household unique identifier (Municipal grid number) (MGnum)

Data file: LP_Loans module 5A

Overview

Valid: 194
Invalid: 0
Type: Discrete
loc_start_pos: 1
loc_end_pos: 6
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
10004 1
0.5%
10011 1
0.5%
10027 1
0.5%
10037 1
0.5%
10064 1
0.5%
10075 1
0.5%
10087 1
0.5%
10112 1
0.5%
10125 1
0.5%
10191 1
0.5%
10207 1
0.5%
10217 1
0.5%
10246 1
0.5%
10264 1
0.5%
10294 1
0.5%
10303 1
0.5%
10320 1
0.5%
10338 1
0.5%
10343 1
0.5%
10383 1
0.5%
10386 1
0.5%
10408 1
0.5%
119 1
0.5%
129 1
0.5%
15032 1
0.5%
15149 1
0.5%
15968 1
0.5%
16020 1
0.5%
16082 1
0.5%
16144 1
0.5%
16160 1
0.5%
16184 1
0.5%
1642 1
0.5%
1760 1
0.5%
1815 1
0.5%
19363 1
0.5%
2269 1
0.5%
265 1
0.5%
3070 1
0.5%
321 1
0.5%
3336 1
0.5%
3343 1
0.5%
351 1
0.5%
352 1
0.5%
4015 1
0.5%
5313 1
0.5%
5319 1
0.5%
5353 1
0.5%
5391 1
0.5%
5396 1
0.5%
541 1
0.5%
5463 1
0.5%
5474 1
0.5%
5479 1
0.5%
5523 1
0.5%
5546 1
0.5%
647 1
0.5%
748 1
0.5%
9056 1
0.5%
9194 1
0.5%
9313 2
1%
9314 1
0.5%
9316 1
0.5%
9322 1
0.5%
9342 1
0.5%
9345 1
0.5%
9361 2
1%
9365 1
0.5%
9386 1
0.5%
9418 1
0.5%
9422 1
0.5%
9428 1
0.5%
9447 1
0.5%
9452 1
0.5%
9460 1
0.5%
9461 1
0.5%
9462 1
0.5%
9464 1
0.5%
9482 1
0.5%
9484 1
0.5%
9488 1
0.5%
9505 1
0.5%
9527 1
0.5%
9532 1
0.5%
9547 1
0.5%
9564 1
0.5%
9587 1
0.5%
9588 1
0.5%
9598 1
0.5%
9599 1
0.5%
9615 1
0.5%
9644 1
0.5%
9704 1
0.5%
9711 1
0.5%
9715 1
0.5%
9717 1
0.5%
9725 1
0.5%
9734 1
0.5%
9735 1
0.5%
9737 1
0.5%
9786 1
0.5%
9787 1
0.5%
9789 1
0.5%
9794 1
0.5%
9795 1
0.5%
9814 1
0.5%
9816 1
0.5%
9820 1
0.5%
9822 1
0.5%
9843 1
0.5%
9844 1
0.5%
9849 1
0.5%
9956 1
0.5%
9961 1
0.5%
9973 2
1%
9976 1
0.5%
9985 1
0.5%
9986 2
1%
A016 1
0.5%
A023 1
0.5%
A024 1
0.5%
A035 1
0.5%
A039 1
0.5%
A061 1
0.5%
A078 1
0.5%
A1054 1
0.5%
A1084 1
0.5%
A113 1
0.5%
A1274 1
0.5%
A1279 1
0.5%
A1780 1
0.5%
A1793 1
0.5%
A1797 1
0.5%
A1798 1
0.5%
A1827 1
0.5%
A1889 1
0.5%
A1894 1
0.5%
A217 1
0.5%
A221 1
0.5%
A2266 1
0.5%
A2336 1
0.5%
A236 1
0.5%
A2393 1
0.5%
A2401 2
1%
A2402 1
0.5%
A2555 1
0.5%
A299 1
0.5%
A3001 1
0.5%
A3016 1
0.5%
A3017 1
0.5%
A3187 1
0.5%
A3206 1
0.5%
A3494 1
0.5%
A353 1
0.5%
A3875 2
1%
A395 1
0.5%
A4156 1
0.5%
A4361 1
0.5%
A4367 1
0.5%
A4376 1
0.5%
A4380 1
0.5%
A456 1
0.5%
A4844 1
0.5%
A4856 2
1%
A4869 1
0.5%
A4881 1
0.5%
A4893 1
0.5%
A497 1
0.5%
A5279 1
0.5%
A535 1
0.5%
A5364 1
0.5%
A5404 1
0.5%
A5409 1
0.5%
A5427 1
0.5%
A5498 1
0.5%
A5692 1
0.5%
A573 1
0.5%
A6060 1
0.5%
A6082 1
0.5%
A6096 1
0.5%
A6199 1
0.5%
A670 1
0.5%
A723 1
0.5%
A756 1
0.5%
A757 1
0.5%
C3246 1
0.5%
X9363 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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