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central

Greater Eldoret Health and Development Survey (Round 3) 2006

Kenya, 2006
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 385611 Metadata DDI/XML JSON
  • Study description
  • Data Description
  • Get Microdata
  • Data files
  • identification
  • hhattrition
  • hhroster_3
  • iroster
  • education
  • educexp
  • educexp_2
  • health_abd
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • consump
  • consump_item
  • assets_1
  • assets_1_8
  • assets_1_17
  • assets_2
  • assets_2_1
  • assets_2_5
  • assets_2_11
  • assets_3
  • assets_4
  • assets_4_7
  • assets_4_13
  • assets_5
  • assets_6
  • assets_6_6
  • assets_6_12
  • assets_7
  • income
  • agriculture
  • agriculture_a
  • agriculture_b
  • agriculture_c
  • agriculture_d
  • agriculture_e
  • agriculture_f
  • agriculture_g
  • agriculture_h
  • shocks_a
  • shocks_a_3
  • shocks_a_7
  • shocks_a_11
  • shocks_a_15
  • shocks_a_19
  • shocks_a_24
  • shocks_b
  • shocks_b_30
  • shocks_b_33
  • shocks_b_40
  • shocks_c
  • shocks_c_45
  • shocks_c_49
  • shocks_c_53
  • transfers
  • transfers_a_2
  • transfers_a_10
  • transfers_b
  • transfers_d_2
  • transfers_d_8
  • transfers_d_15
  • transfers_d_21
  • timealloc
  • kb
  • kb_4
  • anthropo_a
  • anthropo_b
  • anthropo_c
  • marriage
  • marriage_a
  • marriage_b
  • mortality
  • mortality_a
  • mortality_b
  • mortality_c
  • mortality_d
  • housing
  • housing_2
  • timerisk
  • youth
  • hhroster_4a
  • hhroster_4b
CSV JSON

Where this person lives (irid10)

Data file: iroster

Overview

Valid: 1885
Invalid: 0
Minimum: 1
Maximum: 98
Mean: 3.573
Standard deviation: 8.638
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 849
45.4%
2 This location 271
14.5%
3 Kosirai Division 198
10.6%
4 Nandi District (inc. Kapsabet) 250
13.4%
5 Uasin-Gishu District (exc. Eldoret) 134
7.2%
6 Eldoret 38
2%
7 Kakamega 8
0.4%
8 Kitale 15
0.8%
9 Kisumu 11
0.6%
10 Nakuru 4
0.2%
11 Nairobi 28
1.5%
12 Other urban area 19
1%
13 Other rural area 32
1.7%
14 Outside Kenya 13
0.7%
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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