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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 385121 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

What illness professional think (h40a)

Data file: health_abd

Overview

Valid: 682
Invalid: 4719
Minimum: 1
Maximum: 99
Mean: 22.972
Standard deviation: 22.9
Type: Continuous
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What illness did the health practitioner think [NAME] had?
Categories
Value Category Cases
1 HIV/AIDS 3
0.4%
2 Asthma 3
0.4%
3 Bilharzia/ Shistosomiasis 0
0%
4 Cancer 6
0.9%
5 Diarrhea 4
0.6%
6 Dysentry 1
0.1%
7 Fracture/break 10
1.5%
8 Gnorrhea 2
0.3%
9 Intestinal Parisites 7
1%
10 Malaria 319
46.8%
11 Malnutrition (Kwashiorkor/Marasmus) 1
0.1%
12 Measles 2
0.3%
13 Meningitis 2
0.3%
14 Poisoning 0
0%
15 Polio 0
0%
16 Syphilis 0
0%
17 Tetanus 2
0.3%
18 Tuberculosis 4
0.6%
19 Typhoid 17
2.5%
20 Urinary Infection 0
0%
21 Witchcraft 0
0%
22 Other STD (specify) 0
0%
23 Other illness (specify) 63
9.2%
24 Other injury (specify) 25
3.7%
30 Common cold 143
21%
31 Pneumonia 19
2.8%
32 Diabetes 0
0%
99 Don’t know 49
7.2%
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 multiple illnesses, list most recent.

Description

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