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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [V1087]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files

Kenya, 2004
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Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/6x0c-5y08
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
451943
Downloads
3449
  • Study Description
  • Data Description
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  • Data files
  • aghead_a
  • aghead_b
  • aghead_c
  • aghead_d
  • aghead_e
  • aghead_e1_2
  • agspouse_a
  • agspouse_b
  • agspouse_c
  • agspouse_c_2
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I12
  • assets_I17
  • assets_II
  • assets_II5
  • assets_II11
  • assets_III
  • assets_III7
  • assets_III13
  • assets_IV
  • assets_V
  • assets_V6
  • assets_V12
  • assets_VI
  • behavior
  • behavior_c5
  • education
  • educexp
  • enterprise
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hh_roster
  • identification
  • income
  • iroster
  • othexp
  • polygamoushh
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_a27
  • shocks_b30
  • shocks_b33
  • shocks_b36
  • shocks_b40
  • shocks_c44
  • shocks_c49
  • shocks_c53
  • timealloc
  • transfers
  • transfers_a3
  • transfers_a9
  • transfers_a16
  • transfers_b3
  • transfers_d
  • youth

Where is name living (qc12)

Data file: hh_roster

Overview

Valid: 2196
Invalid: 7515
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 98
Format: Numeric

Questions and instructions

Literal question
Where is [NAME] living?
Categories
Value Category Cases
1 This village 544
24.8%
2 This location 252
11.5%
3 Kosirai Division 243
11.1%
4 Nandi District (inc. Kapsabet) 388
17.7%
5 Uasin-Gishu District (exc. Eldoret) 314
14.3%
6 Eldoret 117
5.3%
7 Kakamega 13
0.6%
8 Kitale 65
3%
9 Kisumu 34
1.5%
10 Nakuru 29
1.3%
11 Nairobi 57
2.6%
12 Other urban area 82
3.7%
13 Other rural area 26
1.2%
14 Outside Kenya 23
1%
98 9
0.4%
Sysmiss 7515
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.
Interviewer instructions
Ask where the child is currently living. Use the residence codes that we have given you. If the location where the child is living does not have an exact code, choose the code that best fits the location. SAME PLACE AS HOUSEHOLD means in the same town or village as the household being interviewed. An URBAN AREA is a city or a town.
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