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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F28]
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- BASELINE

KENYA, 2019 - 2020
Health and Well-Being (HaW)
Estelle M. Sidze, Hermann Donfouet, Wendy Janssens, Menno Pradhan
Last modified December 04, 2024 Page views 8075 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • household
    anthroprometrics_baseline
  • household
    health of the
    children_baseline
  • household
    health
    outcomes_baseline
  • household
    healthcare
    utilization_baseline
  • household
    housing
    assets_baseline
  • household
    schedule_baseline
  • household
    social
    demographics_baseline
  • household
    diaries_endline
  • household
    education_endline
  • household
    employment and
    income_endline
  • household
    financial
    assets
    borrowed_endline
  • household
    anthrops_baseline
  • household
    financial
    assets
    finsavings_endline
  • household
    financial
    assets
    lent_endline
  • household food
    consumption_endline
  • household
    health
    outcomes_endline
  • household
    healthcare
    insurance_endline
  • household
    healthcare
    utilization_endline
  • household
    housing
    assets_endline
  • household
    kakamega
    endline_endline
  • household
    savings_endline
  • household
    schedule
    new_endline
  • household
    baseline_baseline
  • household
    schedule_endline
  • household socio
    demographics_endline
  • income
    hiding_game_baseline
  • men self
    efficacy_game_baseline
  • risk preference
    game_game_baseline
  • women
    empowerment
    game_game_baseline
  • women
    empowerment
    module_game_baseline
  • income
    hiding_games_endline
  • men self
    efficacy_games_endline
  • risk preference
    game_games_endline
  • household
    diaries_baseline
  • willingness to
    pay
    game_games_endline
  • women
    empowerment
    game_games_endline
  • household
    anthroprometrics_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
    education_baseline
  • household
    housing
    assets_midline
  • household
    midline_endline_midline
  • household
    schedule_midline
  • household
    social
    demographics_midline
  • consultation
    visits_diaries
  • covid 19
    healthcare
    utilization_diaries
  • covid19 health
    problems_diaries
  • expenditure_diaries
  • food
    consumption_diaries
  • gift loans
    credit_diaries
  • household
    employment and
    income_baseline
  • health
    problems_diaries
  • household
    obsevation
    class_diaries
  • income running
    totals_diaries
  • income sales
    sevices_diaries
  • individual
    status_diaries
  • mental
    health_diaries
  • post
    birth_diaries
  • postnatal
    depression_diaries
  • pregnancy_diaries
  • savings_diaries
  • household
    financial
    assets
    borrowed_baseline
  • household
    financial
    assets
    finsavings_baseline
  • household food
    consumption_baseline
CSV JSON

how much money have you saved (mod15_q1510)

Data file: household savings_endline

Overview

vald 268
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 0
0%
0 30
11.2%
100 2
0.7%
150 2
0.7%
200 8
3%
225 1
0.4%
300 5
1.9%
350 1
0.4%
400 4
1.5%
450 1
0.4%
500 13
4.9%
600 11
4.1%
650 2
0.7%
700 5
1.9%
720 1
0.4%
750 2
0.7%
800 5
1.9%
900 2
0.7%
960 1
0.4%
1000 11
4.1%
1200 7
2.6%
1300 1
0.4%
1400 2
0.7%
1500 12
4.5%
1800 7
2.6%
2000 15
5.6%
2100 2
0.7%
2200 2
0.7%
2400 2
0.7%
2500 7
2.6%
2600 1
0.4%
2700 1
0.4%
2800 1
0.4%
3000 13
4.9%
3200 2
0.7%
3500 3
1.1%
3600 1
0.4%
3700 1
0.4%
4000 7
2.6%
4500 1
0.4%
4800 1
0.4%
5000 8
3%
5400 1
0.4%
5500 1
0.4%
5800 1
0.4%
6000 12
4.5%
6400 1
0.4%
6500 1
0.4%
7000 4
1.5%
7700 1
0.4%
8000 9
3.4%
9500 1
0.4%
9600 1
0.4%
10000 4
1.5%
12000 4
1.5%
13000 1
0.4%
14000 1
0.4%
15000 3
1.1%
18000 1
0.4%
19000 1
0.4%
20000 2
0.7%
20500 1
0.4%
22400 1
0.4%
24000 2
0.7%
26000 1
0.4%
35000 1
0.4%
60000 1
0.4%
68000 1
0.4%
70400 1
0.4%
75000 1
0.4%
80000 1
0.4%
84000 1
0.4%
250000 1
0.4%
387000 1
0.4%
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.
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