Exploring the use of mobile phone technology for optimizing, tracking and responding to children's developmental progress in Korogocho, Nairobi, Kenya, Saving Brains

KENYA, 2019
Human Development (HD)

Patricia Kitsao-Wekulo

CSV JSON

7 Age of HH member (years) (sb_kap_q4p6_age_7)

Data file: SavingBrains_BaselineData

Overview

vald 57

invd 0

Interval discrete

Questions and instructions

Literal question

7 Age of household member?

Categories

Value	Cases
.10000000149011612	1	1.8%
.20000000298023224	1	1.8%
.69999998807907104	3	5.3%
.80000001192092896	2	3.5%
1	2	3.5%
1.2000000476837158	3	5.3%
1.2999999523162842	1	1.8%
1.3999999761581421	2	3.5%
1.5	1	1.8%
1.6000000238418579	4	7%
1.7999999523162842	3	5.3%
1.8999999761581421	2	3.5%
10.399999618530273	1	1.8%
10.699999809265137	1	1.8%
10.800000190734863	1	1.8%
12.199999809265137	1	1.8%
13.600000381469727	1	1.8%
13.899999618530273	1	1.8%
16.299999237060547	1	1.8%
19.799999237060547	1	1.8%
2	2	3.5%
2.7000000476837158	1	1.8%
21.200000762939453	1	1.8%
3.2000000476837158	1	1.8%
3.2999999523162842	1	1.8%
3.4000000953674316	1	1.8%
3.7999999523162842	1	1.8%
37	1	1.8%
39.799999237060547	1	1.8%
4.5999999046325684	1	1.8%
42.799999237060547	1	1.8%
5	1	1.8%
5.4000000953674316	1	1.8%
6.0999999046325684	1	1.8%
6.3000001907348633	1	1.8%
6.4000000953674316	1	1.8%
6.6999998092651367	1	1.8%
66.699996948242187	1	1.8%
7.5	1	1.8%
7.6999998092651367	1	1.8%
8.6000003814697266	1	1.8%
8.8000001907348633	1	1.8%
9.6000003814697266	1	1.8%

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

Now I would like to ask you questions about everyone who lives in this household.

Question post text

N/A

Interviewer instructions

N/A

Description

Text

The age of the household member in years

Universe

Young mother including adolescents of children under the age of three years.