Primary Research for the Data on Youth and Tobacco in Africa (DaYTA) program, DaYTA

KENYA and NIGERIA, 2024
Health and Well-Being (HaW)

Shukri Mohamed, PharmD, PhD

CSV JSON

County name (county_name)

Data file: DaYTA Household_dataset_Kenya

Overview

vald 6435

invd 0

Interval discrete

Decimal 0

Range 1001 - 1016

Questions and instructions

Literal question

County name

Categories

Value	Category	Cases
1001	Mombasa	118	1.8%
1002	Kilifi	429	6.7%
1003	Garissa	209	3.2%
1004	Marsabit	117	1.8%
1005	Meru	519	8.1%
1006	Kitui	320	5%
1007	Nyeri	530	8.2%
1008	Kirinyaga	405	6.3%
1009	Turkana	319	5%
1010	Trans Nzoia	518	8%
1011	Nandi	436	6.8%
1012	Laikipia	342	5.3%
1013	Busia	614	9.5%
1014	Migori	554	8.6%
1015	Nyamira	259	4%
1016	Nairobi City	746	11.6%

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 pretext

MODULE 1: HOUSEHOLD ROSTER

Question post text

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Interviewer instructions

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Description

Text

County where the study took place

Universe

Household head(Male/Female)

Concept

var_concept.name
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