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    Home / Central Data Catalog / KEN-WB-GEHDS-2005-V01 / variable [F89]
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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 394943 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 do you think (Name) is suffering (h48a)

Data file: health

Overview

Valid: 1094
Invalid: 5363
Minimum: 1
Maximum: 99
Mean: 23.891
Standard deviation: 16.823
Type: Discrete
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 20
1.8%
2 Asthma 4
0.4%
3 Bilharzia/ Shistosomiasis 0
0%
4 Cancer 2
0.2%
5 Diarrhea 9
0.8%
6 Dysentry 2
0.2%
7 Fracture/break 10
0.9%
8 Gnorrhea 3
0.3%
9 Intestinal Parisites 13
1.2%
10 Malaria 277
25.3%
11 Malnutrition (Kwashiorkor/Marasmus) 1
0.1%
12 Measles 7
0.6%
13 Meningitis 0
0%
14 Poisoning 1
0.1%
15 Polio 0
0%
16 Syphilis 0
0%
17 Tetanus 1
0.1%
18 Tuberculosis 7
0.6%
19 Typhoid 10
0.9%
20 Urinary Infection 1
0.1%
21 Witchcraft 5
0.5%
22 Other STD (specify) 0
0%
23 Other illness (specify) 219
20%
24 Other injury (specify) 41
3.7%
30 401
36.7%
31 20
1.8%
32 2
0.2%
98 1
0.1%
99 Don’t know 37
3.4%
Sysmiss 5363
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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