Measuring Living Standards within Cities, Durban 2015
South Africa, 2015
Get Microdata
Reference ID
ZAF_2015_DURBAN-LSMS_v01_M
Producer(s)
World Bank
Metadata
Created on
Aug 02, 2018
Last modified
Jun 04, 2025
Page views
134551
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- 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
School location: other (s2_shlloc_other)
Data file: s1_hhroster
Overview
Valid:
103
Invalid:
0
Type:
Discrete
Start:
238
End:
264
Width:
27
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Coastal College swinton Dbn | 1 |
1%
|
|
| Dabeka, inanda | 7 |
6.8%
|
|
| Egugwini | 2 |
1.9%
|
|
| Emaphephetheni | 1 |
1%
|
|
| Engcungcwini, inanda | 1 |
1%
|
|
| Highflats Ndwebu | 1 |
1%
|
|
| INanda mission | 1 |
1%
|
|
| Inanda mission | 1 |
1%
|
|
| Klaarwater | 2 |
1.9%
|
|
| Mkhizwana | 7 |
6.8%
|
|
| Mount View, Verulem | 1 |
1%
|
|
| Mvuyini | 2 |
1.9%
|
|
| Mzinyathi | 15 |
14.6%
|
|
| Mzinyathi, Matabetule | 2 |
1.9%
|
|
| Ndwedwe | 1 |
1%
|
|
| Ntshanga | 9 |
8.7%
|
|
| Overport sec school | 1 |
1%
|
|
| Quarry heights | 1 |
1%
|
|
| UNISA Durban | 1 |
1%
|
|
| Umzinyathi | 1 |
1%
|
|
| Unisa Durban | 1 |
1%
|
|
| amatabetulu | 3 |
2.9%
|
|
| dassenhoek | 1 |
1%
|
|
| emaphephetheni | 7 |
6.8%
|
|
| engcungcwini , inanda | 1 |
1%
|
|
| engcungcwini., inanda | 1 |
1%
|
|
| eskebheni | 2 |
1.9%
|
|
| gingindlovu | 1 |
1%
|
|
| inanda, Dabeka | 2 |
1.9%
|
|
| inanda, esikebheni | 1 |
1%
|
|
| isipingo | 1 |
1%
|
|
| mkhizwana | 7 |
6.8%
|
|
| orienthills | 2 |
1.9%
|
|
| overport | 1 |
1%
|
|
| overport sec school | 1 |
1%
|
|
| umzinyathi | 4 |
3.9%
|
|
| umzinyathi, inanda | 1 |
1%
|
|
| umzinyathi, inanda | 7 |
6.8%
|
|
| university of cape town | 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.