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,

Data file: household employment and income_midline

The file contain data from; Module 9: EMPLOYMENT AND INCOME
Cases	888
Variables	23

Variables

household_id

Household Id

individual_id

ID of the individual

mod9_age

age (in years) of individual at last birthday

mod9_lineno

individual's line number in the household

mod9_gender

gender of individual

mod9_q901

individual works

mod9_q902_01

reason for not working:sick, injury

mod9_q902_02

reason for not working:student

mod9_q902_03

reason for not working:caring for ill family

mod9_q902_04

reason for not working:cannot find work

mod9_q902_05

reason for not working:do not want to work

mod9_q902_06

reason for not working:too young to work

mod9_q902_07

reason for not working:too old/pensioner

mod9_q902_08

reason for not working:taking care of family

mod9_q902_96

reason for not working:other

mod9_q902_96spy

reason for not working:other-specified

mod9_q903

the main work the individual does

mod9_q903_spy

the main work the individual does

mod9_q904

total amount the individual earns

mod9_q905

individual have another job

mod9_q906

the main work the individual does

mod9_q906_spy

the main work the individual does

mod9_q907

total amount the individual earns

Total: 23

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)

Data file: household employment and income_midline

Variables

Kenya, 2020
Health and Well-Being (HaW)