Enhancing Universal Health Coverage in Kenya through Digital Innovations: A Financial and Health Diaries evaluation study of the i-PUSH program, iPUSH-MIDLINE

Kenya, 2020
Health and Well-Being (HaW)

Estelle M. Sidze, Hermann Donfouet, Wendy Janssens, Menno Pradhan,

CSV JSON

gender of individual (mod4_gender)

Data file: household education_midline

Overview

vald 1271

invd 0

Interval discrete

Decimal 0

Range -9 - 9999995

Questions and instructions

Literal question

gender of individual

Categories

Value	Category	Cases
-9	NIU (not in universe)	0	0%
1	male	544	42.8%
2	female	727	57.2%
9999995	missing:impute	0	0%

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

Question post text

Interviewer instructions

Description

Text