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    Home / Central Data Catalog / KEN_2006_GEHDS_V01_M / variable [F11]
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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 385568 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • 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

Had any illness during past 4 weeks (h01)

Data file: health_abd

Overview

Valid: 5373
Invalid: 28
Type: Discrete
Decimal: 0
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
During the past 4 weeks has [NAME] had any illness or injury, for example, has [NAME] had a cough, cold, diarrhea, an injury due to an accident or any other illness?
Categories
Value Category Cases
1 Yes, illness 1327
24.7%
2 Yes, injury 52
1%
3 Yes, illness and injury 2
0%
4 No 3892
72.4%
9 100
1.9%
Sysmiss 28
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.
Question post text
If answer is 4 > Go to section B (hb01 - variable name in dataset).

Description

Universe
All household members.
Source of information
The primary female respondent.
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