Login
Login

APHRC Online Microdata Library
  • Home
  • About APHRC
  • Datasets
  • Collections
  • Citations
  • Resources
  • How to use it?
  • Why sharing data?
  • Contact us
    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F42]
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 35618 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

the weight of the child in grams (mod5_q529)

Data file: household anthroprometrics_midline

Overview

vald 113
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 0
0%
-7 refused 1
0.9%
-6 child not present 3
2.7%
10.6999998092651 1
0.9%
15.3000001907349 1
0.9%
98 don't know 0
0%
1365 1
0.9%
1645 1
0.9%
7200 1
0.9%
7250 1
0.9%
7600 1
0.9%
8100 1
0.9%
8400 1
0.9%
9050 1
0.9%
9100 1
0.9%
9150 2
1.8%
9400 1
0.9%
9500 1
0.9%
10200 1
0.9%
10300 1
0.9%
10400 2
1.8%
10500 2
1.8%
10700 1
0.9%
10750 2
1.8%
10800 2
1.8%
10900 1
0.9%
10950 1
0.9%
11050 1
0.9%
11100 1
0.9%
11200 1
0.9%
11300 1
0.9%
11350 1
0.9%
11400 1
0.9%
11500 2
1.8%
11550 2
1.8%
11650 1
0.9%
11700 1
0.9%
11800 2
1.8%
11850 1
0.9%
11900 1
0.9%
12100 1
0.9%
12300 2
1.8%
12400 2
1.8%
12500 1
0.9%
12600 4
3.5%
12700 1
0.9%
12800 1
0.9%
12900 1
0.9%
13000 3
2.7%
13100 3
2.7%
13200 2
1.8%
13300 1
0.9%
13400 2
1.8%
13500 2
1.8%
13600 1
0.9%
13900 2
1.8%
14050 1
0.9%
14100 1
0.9%
14200 1
0.9%
14500 1
0.9%
14600 1
0.9%
14700 4
3.5%
15300 2
1.8%
15400 3
2.7%
15500 2
1.8%
15600 1
0.9%
15800 1
0.9%
15950 1
0.9%
16100 1
0.9%
16500 2
1.8%
16600 2
1.8%
16800 1
0.9%
16850 1
0.9%
17200 2
1.8%
17300 1
0.9%
18000 2
1.8%
19700 1
0.9%
24700 1
0.9%
25300 1
0.9%
71400 1
0.9%
82200 1
0.9%
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.
APHRC Microdata Portal

© APHRC Microdata Portal, All Rights Reserved. Slot Online