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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F19]
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 7815 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 borrowed (mod16_q1607)

Data file: household financial assets borrowed_endline

Overview

vald 339
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 0
0%
10 1
0.3%
20 2
0.6%
25 1
0.3%
30 1
0.3%
50 1
0.3%
65 1
0.3%
70 1
0.3%
80 3
0.9%
100 7
2.1%
120 4
1.2%
125 1
0.3%
130 1
0.3%
140 1
0.3%
150 2
0.6%
160 1
0.3%
180 1
0.3%
200 17
5%
240 2
0.6%
250 1
0.3%
270 2
0.6%
300 20
5.9%
320 1
0.3%
330 1
0.3%
350 1
0.3%
380 1
0.3%
400 6
1.8%
420 1
0.3%
450 5
1.5%
470 1
0.3%
500 38
11.2%
550 2
0.6%
570 1
0.3%
600 10
2.9%
650 1
0.3%
700 12
3.5%
725 1
0.3%
750 1
0.3%
800 8
2.4%
900 3
0.9%
980 1
0.3%
1000 18
5.3%
1050 2
0.6%
1070 1
0.3%
1200 4
1.2%
1225 1
0.3%
1250 1
0.3%
1400 1
0.3%
1500 8
2.4%
1600 3
0.9%
1700 1
0.3%
1800 3
0.9%
1837 1
0.3%
2000 22
6.5%
2020 1
0.3%
2040 1
0.3%
2187 1
0.3%
2200 3
0.9%
2300 3
0.9%
2400 2
0.6%
2500 6
1.8%
2700 1
0.3%
2750 1
0.3%
2800 4
1.2%
3000 9
2.7%
3200 1
0.3%
3300 1
0.3%
3500 2
0.6%
3700 1
0.3%
3735 1
0.3%
3800 1
0.3%
4000 9
2.7%
4121 1
0.3%
4750 1
0.3%
4800 1
0.3%
4950 1
0.3%
5000 12
3.5%
5200 1
0.3%
5800 1
0.3%
6000 6
1.8%
6400 1
0.3%
7000 6
1.8%
8000 1
0.3%
9800 1
0.3%
10000 5
1.5%
10700 1
0.3%
10870 1
0.3%
11000 2
0.6%
11500 1
0.3%
13000 1
0.3%
14000 1
0.3%
20000 1
0.3%
22000 1
0.3%
23000 1
0.3%
31000 1
0.3%
40000 1
0.3%
42000 1
0.3%
44000 1
0.3%
45000 1
0.3%
150000 1
0.3%
200000 1
0.3%
250000 1
0.3%
500000 1
0.3%
600000 1
0.3%
1200000 1
0.3%
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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