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    Home / Central Data Catalog / KEN-WB-GEHDS-2005-V01 / variable [F89]
central

Greater Eldoret Health and Development Survey (Round 2) 2005

Kenya, 2005
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 394953 Metadata DDI/XML JSON
  • Study description
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  • hhr_correction
  • hhroster_1
  • hhroster_2
  • identification
  • iroster
  • educexp
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • food
  • othexp
  • assets
  • assets_I8
  • assets_I17
  • assets_II5
  • assets_II11
  • assets_IV7
  • assets_IV13
  • assets_V
  • assets_VI5
  • assets_VI12
  • ag_a
  • ag_b
  • ag_c
  • ag_d
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_b30
  • shocks_b33
  • shocks_b40
  • shocks_c45
  • shocks_c49
  • shocks_c53
  • transfers
  • transfers_a2
  • transfers_a10
  • transfers_b2
  • transfers_d2
  • transfers_d7
  • transfers_d14
  • transfers_d19
  • behavior
  • behavior_c4
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • marriage
  • marriage_b
  • marriage_c
  • famback
  • famback_II
  • famback_III
  • famback_IV
  • famback_V
  • mortality
  • mortality_b
  • housing
  • housing_2
  • timerisk
  • networks
  • networks_a
  • networks_b
  • networks_c
  • networks_c9
  • networks_c10
  • networks_d
  • networks_e
  • youth
  • education
  • health
  • income
CSV JSON

What illness professional think (h47a)

Data file: health

Overview

Valid: 592
Invalid: 5865
Minimum: 1
Maximum: 99
Mean: 26.142
Standard deviation: 26.962
Type: Discrete
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 16
2.7%
2 Asthma 5
0.8%
3 Bilharzia/ Shistosomiasis 0
0%
4 Cancer 2
0.3%
5 Diarrhea 4
0.7%
6 Dysentry 0
0%
7 Fracture/break 6
1%
8 Gnorrhea 1
0.2%
9 Intestinal Parisites 7
1.2%
10 Malaria 225
38%
11 Malnutrition (Kwashiorkor/Marasmus) 1
0.2%
12 Measles 5
0.8%
13 Meningitis 0
0%
14 Poisoning 1
0.2%
15 Polio 0
0%
16 Syphilis 1
0.2%
17 Tetanus 0
0%
18 Tuberculosis 6
1%
19 Typhoid 17
2.9%
20 Urinary Infection 2
0.3%
21 Witchcraft 1
0.2%
22 Other STD (specify) 1
0.2%
23 Other illness (specify) 96
16.2%
24 Other injury (specify) 20
3.4%
30 90
15.2%
31 18
3%
32 2
0.3%
98 1
0.2%
99 Don’t know 64
10.8%
Sysmiss 5865
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

Source of information
Primary female respondent
Kenya National Data Archive (KeNADA)

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