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 (mod9_gender)

Data file: household employment and income_midline

Overview

vald 888

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	372	41.9%
2	female	516	58.1%
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.

Interviewer instructions

Description

Text