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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 404555 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

What illness do you think (Name) is suffering (h41a)

Data file: health_abd

Overview

Valid: 1105
Invalid: 4296
Minimum: 1
Maximum: 99
Mean: 23.322
Standard deviation: 15.358
Type: Continuous
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What illness do you think [NAME] is suffering from?
Categories
Value Category Cases
1 HIV/AIDS 5
0.5%
2 Asthma 2
0.2%
3 Bilharzia/ Shistosomiasis 0
0%
4 Cancer 3
0.3%
5 Diarrhea 10
0.9%
6 Dysentry 1
0.1%
7 Fracture/break 16
1.4%
8 Gnorrhea 0
0%
9 Intestinal Parisites 6
0.5%
10 Malaria 348
31.5%
11 Malnutrition (Kwashiorkor/Marasmus) 0
0%
12 Measles 4
0.4%
13 Meningitis 0
0%
14 Poisoning 4
0.4%
15 Polio 0
0%
16 Syphilis 0
0%
17 Tetanus 2
0.2%
18 Tuberculosis 7
0.6%
19 Typhoid 10
0.9%
20 Urinary Infection 0
0%
21 Witchcraft 0
0%
22 Other STD (specify) 0
0%
23 Other illness (specify) 105
9.5%
24 Other injury (specify) 38
3.4%
30 Common cold 496
44.9%
31 Pneumonia 19
1.7%
32 Diabetes 0
0%
99 Don’t know 28
2.5%
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.

Description

Universe
All household members.
Source of information
The primary female respondent.
Kenya National Data Archive (KeNADA)

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