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    Home / Central Data Catalog / ZAF_2015_DURBAN-LSMS_V01_M / variable [F16]
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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
24606
Downloads
138
  • Study Description
  • Data Dictionary
  • Downloads
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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

Factors influencing decisions (s8_fctdecn)

Data file: residential_history_prepped

Overview

Valid: 878
Invalid: 353
Mean: 2.792
Type: Discrete
Decimal: 0
Start: 144
End: 146
Width: 3
Range: -
Format:

Questions and instructions

Categories
Value Category
-96 Other
1 To move closer to family/ friends / my own ethnic group
2 Change in family circumstance (e.g. birth / death / marriage / divorce / old enough to live independently)
3 Want to move to a larger house
4 Want to move to a house with better quality of construction / housing materials
5 Lower cost of housing
6 Bought or inherited a house / flat / land
7 To find work / better opportunities to find work
8 Closer to place of work / job
9 Closer to better schools
10 Closer to social / cultural life
11 Neighborhood better connected to roads
12 Neighborhood better connected to public transportation
13 Access to health facilities
14 Lower cost of living
15 Safer neighbourhood (less crime)
16 Nicer neighborhood (eg. cleaner / greener / quieter)
17 Better urban services (Electricity / water supply / sewerage / drainage / waste collection)
18 Allocation of RDP house or other state subsidy program
19 Being evicted
20 Floods or other natural disasters
Sysmiss
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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