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    Home / Central Data Catalog / KEN-WB-GEHDS-2005-V01 / variable [F14]
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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 396393 Metadata DDI/XML JSON
  • Study description
  • Data Description
  • Get Microdata
  • Data files
  • 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

Where illness was diagnosed (hcty06a)

Data file: health_c_III

Overview

Valid: 161
Invalid: 0
Minimum: 1
Maximum: 98
Mean: 5.516
Standard deviation: 13.001
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 98
Format: Numeric

Questions and instructions

Literal question
Where was this illness diagnosed as typhoid?
Categories
Value Category Cases
1 National Referral Hosp. (Kenyatta, Moi) 9
5.6%
2 Government District/Provincial Hosp. 62
38.5%
3 Mosoriot Rural Health Center 28
17.4%
4 Government Health Center (exc. Mosoriot) 12
7.5%
5 Government dispensary 9
5.6%
6 Mission hospital/clinic 10
6.2%
7 Other private hospital/clinic 16
9.9%
8 Chemist/pharmacy 0
0%
9 Private doctor (like priv. clinic) 11
6.8%
10 Mobile clinic 0
0%
11 Community health worker 0
0%
12 Retail shop 0
0%
13 Herbalist/traditional healer 1
0.6%
14 Relative/friend 0
0%
15 Other (specify) 0
0%
98 Self 3
1.9%
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 sick household members.
Source of information
Primary female respondent
Kenya National Data Archive (KeNADA)

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