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

2 Marital status of HH member (sb_kap_q4p8_2)

Data file: SavingBrains_BaselineData

Overview

vald 225

invd 29

Interval discrete

Decimal 0

Range 1 - 5

Questions and instructions

Literal question

2 Marital status of household member?

Categories

Value	Category	Cases
1	CURRENTLY MARRIED/LIVING TOGETHER	184	81.8%
2	SINGLE (EVER MARRIED)	8	3.6%
3	SINGLE DIVORCED	2	0.9%
4	SINGLE WIDOWED	2	0.9%
5	SINGLE (NEVER MARRIED)	29	12.9%
Sysmiss		29

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 marital status of the household member

Universe

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