Smart Survey Isiolo_2019

Kenya

Ministry of Health

CSV JSON

q2_7_other (pv017)

Data file: Isiolo_2019_hl

Overview

Valid: 97

Invalid: 0

Type: Discrete

Width: 51

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
Child is impaired	1	1%
Child is young	1	1%
Child refused	1	1%
Child stiil young	1	1%
Child stiil young	1	1%
Child young	2	2.1%
Drop out to pursue his career in football	1	1%
Enrolled in madarasa	1	1%
Finished secondary school	1	1%
Grandmother says he is still young	1	1%
Grazing	1	1%
He is looking after cows	1	1%
Herding	1	1%
In madrassa	1	1%
Learning madrasa	1	1%
Madrasa	1	1%
Mother says child is young for school	1	1%
Mother says he is still young	2	2.1%
Mother says he still young	1	1%
Mother says she is still young	2	2.1%
Mother thinks Child is still young	1	1%
Mother's Preference	1	1%
Never enrolled	6	6.2%
No school fees	1	1%
None	1	1%
Not big for school	1	1%
Not enrolled	1	1%
Not of school age	1	1%
Not old for school	1	1%
Not reach age of schooling	1	1%
Not yet	1	1%
Not yet enrolled	4	4.1%
Not yet reach school age	1	1%
Not yet school age	1	1%
Parent say he is still young	1	1%
Poor performance	1	1%
Refused	1	1%
Refused at class six	1	1%
Refused school	1	1%
She is looking after goat's	1	1%
She is young	1	1%
She will join later	2	2.1%
She's young	1	1%
Sick	1	1%
Still small for school	1	1%
Still young for school	3	3.1%
The grandmother is not able to provide school fees.	1	1%
Too young	4	4.1%
Too young for schooling	2	2.1%
Too young says father	1	1%
Too young to be enrolled	1	1%
Too young to go school	1	1%
Too young to go to school	1	1%
Under age	9	9.3%
Under age for school according to new system	2	2.1%
Unwell	1	1%
Waiting to be enrolled to school	1	1%
Yet to enrol	3	3.1%
Yet to join	1	1%
Young	4	4.1%
Younger	1	1%
herding animals	1	1%
herding livestock	1	1%
refused to go school	1	1%
waiting for admission date	1	1%

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.