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

KENYA, 2019 - 2020
Health and Well-Being (HaW)

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

CSV JSON

age groups (age_group)

Data file: gift loans credit_diaries

Overview

vald 48982

invd 0

Interval discrete

Decimal 0

Range -9 - 9999995

Questions and instructions

Categories

Value	Category	Cases
-9	NIU (not in universe)	0	0%
1	below 5 years	0	0%
2	5-9 years	0	0%
3	10-14 years	2894	5.9%
4	15-19 years	3659	7.5%
5	20-24 years	7612	15.5%
6	25-29 years	8653	17.7%
7	30-34 years	9283	19%
8	35-39 years	7552	15.4%
9	40-44 years	3941	8%
10	45-49 years	2633	5.4%
11	above 49 years	2755	5.6%
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.