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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-MIDLINE-2022-V01 / variable [F4]
Health_and_Well-Being

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,
Last modified December 04, 2024 Page views 15590 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • household
    anthroprometrics_midline
  • household
    midline_endline_midline
  • household
    schedule_midline
  • household
    social
    demographics_midline
  • household
    diaries_midline
  • household
    education_midline
  • household
    employment and
    income_midline
  • household food
    consumption_midline
  • household
    health
    outcomes_midline
  • household
    healthcare
    insurance_midline
  • household
    healthcare
    utilization_midline
  • household
    housing
    assets_midline
CSV JSON

total amount the individual earns (mod9_q904)

Data file: household employment and income_midline

Overview

vald 888
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Literal question
4. How much did [ [mod9_name]] earn last month with your/ [ [mod9_name]] 's main work ?
Categories
Value Category Cases
-9 NIU (not in universe) 577
65%
-8 don't know 26
2.9%
0 27
3%
100 2
0.2%
150 2
0.2%
200 1
0.1%
300 5
0.6%
340 1
0.1%
350 1
0.1%
400 4
0.5%
490 1
0.1%
500 12
1.4%
600 12
1.4%
700 1
0.1%
800 10
1.1%
900 1
0.1%
1000 17
1.9%
1200 4
0.5%
1250 1
0.1%
1400 1
0.1%
1500 10
1.1%
1600 4
0.5%
1700 1
0.1%
1800 2
0.2%
1900 1
0.1%
2000 21
2.4%
2400 1
0.1%
2500 6
0.7%
2800 1
0.1%
3000 19
2.1%
3200 1
0.1%
3500 3
0.3%
3600 1
0.1%
3750 1
0.1%
4000 17
1.9%
4500 2
0.2%
4800 3
0.3%
5000 21
2.4%
5500 1
0.1%
5600 1
0.1%
6000 14
1.6%
6600 1
0.1%
7000 8
0.9%
8000 9
1%
9000 4
0.5%
10000 5
0.6%
10400 1
0.1%
12000 2
0.2%
13000 1
0.1%
14000 2
0.2%
15000 6
0.7%
16000 2
0.2%
18000 1
0.1%
19000 1
0.1%
20000 1
0.1%
22000 1
0.1%
24000 1
0.1%
25000 1
0.1%
29000 1
0.1%
30000 2
0.2%
9999995 missing:impute 0
0%
999999999 1
0.1%
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
na
Question post text
na
Interviewer instructions
na

Description

Text
The total amount the individual earned last month from the main work.
Universe
A household with a woman of reproductive age (18-49) who has at least one child below age 5 years that is living with her or pregnant
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