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    Home / Central Data Catalog / ZAF_2015_DURBAN-LSMS_V01_M / variable [F10]
central

Measuring Living Standards within Cities, Durban 2015

South Africa, 2015
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Reference ID
ZAF_2015_DURBAN-LSMS_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
Page views
26758
Downloads
146
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • s1_hhroster
  • s3_jobs
  • s3_jobs_ISIC
  • s4_food7days
  • s4_nonfood12months
  • s4_nonfood30days
  • s5_documents
  • s5_want
  • s6_assets
  • s6_assetsagri
  • s6_property
  • s8_residhistory
  • s10_activities
  • lsms_household
  • landmark_dist
  • residential_history_prepped
  • tenure_docs
  • tenure_docswide
  • rr_s3_jobs
  • rr_s3_jobs_ISIC
  • rr_s10_activities

Random respondent identifier (id_rr)

Data file: s6_assetsagri

Overview

Valid: 115
Invalid: 0
Type: Discrete
Start: 99
End: 130
Width: 32
Format:

Questions and instructions

Categories
Value Category
023e9267ba2a4275a30a2fda1df03dfd
04562efcf4e44543b65ccda9c7b77f25
0bb5804f385c4b19b7b1e7bf0a8d41fa
0e874cfba4104eebb6fbf69fbeb84af6
1bf44a3bb2674e4c9c768fe59cc08e2d
1daa2c145b0a4ed5acdad05d96bf96a2
1df6b1fd2da14d8295183c87deb33a25
1f2ad67d35ff4857af61de0d6fe94489
250e9f93af39426aa8809488991bb035
26bf4fcb51ca4fa3b85d79572d023cca
28ce9b830c924e559ae53d19459cf8fa
298f426a01414c4e83908f337ed028a2
2a2133a9d5a24768abef570a94ea017e
37cbb437a63e4871bdabfcb885a10549
3e00c3304d384d36b6cc879e615a868b
3eee1cf4637041079a957babf91fe9de
439d55c75e7244a49670674ec3cec7c6
46095eb29eb44e1fbc554ba93b68df8c
4686df38646c4344b53bdbbf28710a4e
4730d395c8784672967243afa4b6e054
4ab9b302e9d845de867b593df3fae15a
4d4b367093c44ec1946963a9aa4daa0f
57a728fd635e41b88835e7f8368b17b8
5eb3836d8100473ab34be24c18c7a370
6037d8d9c37a4391915452000ee0d831
609944aa51fe4bd49ad877722e5cfe5d
62fc24b8a78049449dc740ff65f08f03
66185c4b48164529a03b46bd03ddf3f2
6c917bad84a649d5a5413ae9752961ca
78e065150003493c826085a8ef86e795
7ff68625c1c1446da8c50a9aec72cdbc
856ae85d8eb44c4eb3fb81e100431361
8afddfa24cf444c4af45459cee734f06
8ba049ba228f47eea18c2bb72e0f2230
9aeeb9b0f0d84cb1a7b2d3ffd029cf51
a1075b86b3854395b9d001d6f4036cee
aa50dc8713874177a5a195b698d5f458
ab4908bd60b7408e9667e14abfe3312a
b15d39968720417d82059275cc166627
b6ceba57735745df8d134b1ceaf20de5
b9c14afe48c8492ab8b13c9ade984596
c1423f80475e4158a34359fb7029b567
c67386fc459d434fac362d4ecca95f3f
c80e497460a9424d9f29c735a5c54e68
c9658cffdafa49fb87cf18bc4c49af7f
cffc57275856449d8f0dfc700859531e
d2407b0ee96c4505ab8d3e0580802f9a
db399909d0a446d0b24f42e64d52ef95
dd00f86e1f834b53a28990e96ee8300c
e8aaa0441bd04125ab3616999229416a
ed4e5017bb604d739ce218f2e0f9ad46
f6452886cc494f7db372a34d4c6fada8
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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