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    Home / Central Data Catalog / KEN_2004_GEHDS_V01_M / variable [F58]
central

Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 1178779 Metadata DDI/XML JSON
  • 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
  • food
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • identification
  • 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
  • youth
  • hh_roster
  • education
  • educexp
  • health
  • income
  • transfers_d
  • enterprise
CSV JSON

Where this person lives (irid10)

Data file: iroster

Overview

Valid: 2193
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
Where does this person live?
Categories
Value Category Cases
1 This village 1214
55.4%
2 This location 226
10.3%
3 Kosirai Division 165
7.5%
4 Nandi District (inc. Kapsabet) 219
10%
5 Uasin-Gishu District (exc. Eldoret) 144
6.6%
6 Eldoret 63
2.9%
7 Kakamega 12
0.5%
8 Kitale 35
1.6%
9 Kisumu 14
0.6%
10 Nakuru 10
0.5%
11 Nairobi 35
1.6%
12 Other urban area 23
1%
13 Other rural area 21
1%
14 Outside Kenya 7
0.3%
23 1
0%
98 1
0%
99 3
0.1%
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.
var_qstn_ivuinstr
Ask the respondent where the person lives, and write the residence code that best matches the answer. If the person is a neighbor, use the code for “same village”.
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