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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 33866 Documentation in PDF Metadata DDI/XML JSON
CSV JSON

the weight of the child in grams (mod5_q529)

Data file: risk preference game_game_baseline

Overview

vald 330
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 7
2.1%
-7 refused 0
0%
-6 child not present 0
0%
98 don't know 0
0%
1300 1
0.3%
2900 1
0.3%
3850 1
0.3%
4250 1
0.3%
5800 1
0.3%
6250 1
0.3%
6320 1
0.3%
6400 1
0.3%
6450 2
0.6%
6700 1
0.3%
6800 1
0.3%
6900 1
0.3%
7000 1
0.3%
7050 1
0.3%
7400 1
0.3%
7750 2
0.6%
7800 1
0.3%
7900 1
0.3%
8200 1
0.3%
8500 1
0.3%
8700 1
0.3%
8800 1
0.3%
8900 2
0.6%
8950 1
0.3%
9000 1
0.3%
9050 1
0.3%
9100 1
0.3%
9200 1
0.3%
9300 1
0.3%
9350 1
0.3%
9400 3
0.9%
9500 3
0.9%
9550 1
0.3%
9600 1
0.3%
9700 2
0.6%
9750 4
1.2%
9850 1
0.3%
9900 1
0.3%
9950 1
0.3%
10000 3
0.9%
10050 2
0.6%
10150 1
0.3%
10250 1
0.3%
10300 2
0.6%
10350 2
0.6%
10400 4
1.2%
10450 2
0.6%
10550 2
0.6%
10650 3
0.9%
10700 2
0.6%
10750 1
0.3%
10800 1
0.3%
10850 2
0.6%
10900 3
0.9%
10950 4
1.2%
11000 4
1.2%
11050 3
0.9%
11100 2
0.6%
11150 1
0.3%
11200 2
0.6%
11250 2
0.6%
11300 1
0.3%
11350 2
0.6%
11400 1
0.3%
11450 2
0.6%
11500 4
1.2%
11550 1
0.3%
11650 4
1.2%
11700 2
0.6%
11750 1
0.3%
11950 1
0.3%
12000 1
0.3%
12050 2
0.6%
12100 1
0.3%
12150 5
1.5%
12200 1
0.3%
12250 2
0.6%
12300 2
0.6%
12350 2
0.6%
12400 1
0.3%
12450 2
0.6%
12500 2
0.6%
12550 2
0.6%
12600 1
0.3%
12650 1
0.3%
12700 1
0.3%
12750 1
0.3%
12800 2
0.6%
12850 1
0.3%
12900 2
0.6%
13000 1
0.3%
13050 1
0.3%
13100 2
0.6%
13200 1
0.3%
13250 2
0.6%
13300 2
0.6%
13400 2
0.6%
13450 3
0.9%
13550 2
0.6%
13600 1
0.3%
13700 3
0.9%
13750 1
0.3%
13800 1
0.3%
13850 2
0.6%
13900 4
1.2%
13950 3
0.9%
14050 1
0.3%
14200 2
0.6%
14250 1
0.3%
14300 1
0.3%
14350 1
0.3%
14400 1
0.3%
14450 2
0.6%
14500 4
1.2%
14550 1
0.3%
14600 1
0.3%
14650 2
0.6%
14700 2
0.6%
14850 3
0.9%
14900 2
0.6%
14950 1
0.3%
15000 3
0.9%
15050 1
0.3%
15100 3
0.9%
15200 3
0.9%
15250 3
0.9%
15300 1
0.3%
15350 2
0.6%
15400 2
0.6%
15500 5
1.5%
15650 3
0.9%
15700 3
0.9%
15750 2
0.6%
15850 3
0.9%
15950 2
0.6%
16000 3
0.9%
16050 2
0.6%
16100 1
0.3%
16150 1
0.3%
16200 2
0.6%
16250 1
0.3%
16300 3
0.9%
16350 1
0.3%
16450 2
0.6%
16500 3
0.9%
16650 1
0.3%
16750 1
0.3%
16800 4
1.2%
16850 1
0.3%
16900 2
0.6%
17000 1
0.3%
17050 1
0.3%
17100 4
1.2%
17150 1
0.3%
17200 1
0.3%
17400 2
0.6%
17450 2
0.6%
17650 2
0.6%
17850 1
0.3%
17950 1
0.3%
18000 1
0.3%
18050 1
0.3%
18100 1
0.3%
18250 2
0.6%
18300 1
0.3%
18350 1
0.3%
18400 1
0.3%
18550 3
0.9%
18700 2
0.6%
18800 1
0.3%
18850 1
0.3%
18900 2
0.6%
18950 1
0.3%
19000 2
0.6%
19050 1
0.3%
19100 1
0.3%
19250 1
0.3%
19400 1
0.3%
19500 1
0.3%
19550 1
0.3%
19600 1
0.3%
19900 1
0.3%
20000 2
0.6%
20900 1
0.3%
22100 1
0.3%
22500 1
0.3%
22600 1
0.3%
22800 1
0.3%
23200 1
0.3%
24450 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.