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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 385271 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

To what region hh moved (att5)

Data file: hhattrition

Overview

Valid: 46
Invalid: 1664
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
To what region did the household members move?
Categories
Value Category Cases
1 This village 3
6.5%
2 This location 2
4.3%
3 Kosirai Division 5
10.9%
4 Nandi District 8
17.4%
5 Uasin Gishu District 11
23.9%
6 Eldoret 1
2.2%
7 Kakamega 1
2.2%
8 Kitale 4
8.7%
9 Kisumu 1
2.2%
10 Nakuru 0
0%
11 Nairobi 0
0%
12 Other urban area 0
0%
13 Other rural area 4
8.7%
14 Outside Kenya 0
0%
30 1
2.2%
98 2
4.3%
99 Don't know 3
6.5%
Sysmiss 1664
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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