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    Home / Central Data Catalog / KEN-WB-GEHDS-2005-V01 / variable [F5]
central

Greater Eldoret Health and Development Survey (Round 2) 2005

Kenya, 2005
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 395998 Metadata DDI/XML JSON
  • Study description
  • Data Description
  • Get Microdata
  • Data files
  • hhr_correction
  • hhroster_1
  • hhroster_2
  • identification
  • iroster
  • educexp
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • food
  • othexp
  • assets
  • assets_I8
  • assets_I17
  • assets_II5
  • assets_II11
  • assets_IV7
  • assets_IV13
  • assets_V
  • assets_VI5
  • assets_VI12
  • ag_a
  • ag_b
  • ag_c
  • ag_d
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_b30
  • shocks_b33
  • shocks_b40
  • shocks_c45
  • shocks_c49
  • shocks_c53
  • transfers
  • transfers_a2
  • transfers_a10
  • transfers_b2
  • transfers_d2
  • transfers_d7
  • transfers_d14
  • transfers_d19
  • behavior
  • behavior_c4
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • marriage
  • marriage_b
  • marriage_c
  • famback
  • famback_II
  • famback_III
  • famback_IV
  • famback_V
  • mortality
  • mortality_b
  • housing
  • housing_2
  • timerisk
  • networks
  • networks_a
  • networks_b
  • networks_c
  • networks_c9
  • networks_c10
  • networks_d
  • networks_e
  • youth
  • education
  • health
  • income
CSV JSON

Where this person lives (irid10)

Data file: iroster

Overview

Valid: 9049
Invalid: 1
Minimum: 1
Maximum: 99
Mean: 2.578
Standard deviation: 5.427
Type: Continuous
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 5492
60.8%
2 This location 1199
13.3%
3 Kosirai Division 544
6%
4 Nandi District (inc. Kapsabet) 786
8.7%
5 Uasin-Gishu District (exc. Eldoret) 333
3.7%
6 Eldoret 152
1.7%
7 Kakamega 28
0.3%
8 Kitale 58
0.6%
9 Kisumu 30
0.3%
10 Nakuru 19
0.2%
11 Nairobi 85
0.9%
12 Other urban area 110
1.2%
13 Other rural area 183
2%
14 Outside Kenya 7
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.
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