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
108195
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646
- 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
How would you classify your household in terms of income, compared with other ho (sjwbrd)
Data file: lsms_household
Overview
Valid:
1327
Invalid:
134
Type:
Discrete
Decimal:
0
Start:
1475
End:
1477
Width:
3
Range:
-98 - 5
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Don't know | 89 |
6.7%
|
| 1 | Much above average income [Okuningi ngaphezu kweholo elijwayelekile] | 11 |
0.8%
|
| 2 | Above average income [Ngaphezu kweholo elijwayelekile] | 10 |
0.8%
|
| 3 | Average income [Iholo elijwayelekile] | 211 |
15.9%
|
| 4 | Below average income [Ngaphansi kweholo elijwayelekile] | 288 |
21.7%
|
| 5 | Much below average income [Ngaphansi kakhulu kweholoelijwayelekile] | 718 |
54.1%
|
| Sysmiss | 134 |
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.