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    Home / Central Data Catalog / DDI-KEN-MOH-SMS-ISL-2018-V001 / variable [F2]
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ISIOLO SMART SURVEY 2018

Kenya
Ministry of Health
Created on February 04, 2025 Last modified February 04, 2025 Page views 18612 Documentation in PDF Metadata DDI/XML JSON
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  • Isiolo_2018_hh
  • Isiolo_2018_hl
CSV JSON

Specify Other reasons why the child is not enrolled in school? (pv011)

Data file: Isiolo_2018_hl

Overview

Valid: 96
Invalid: 0
Type: Discrete
Width: 66
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
According to mother the is younger 2
2.1%
Age limit 13
13.5%
Attending madrasa 1
1%
Child is young 1
1%
Child not attained at age of schooling 1
1%
Disabled 1
1%
Don't know how to speak well 1
1%
Due to household responsibilities 1
1%
Enrolled in Madarasa 2
2.1%
Going for duksi only 1
1%
Going madrassa 1
1%
Going madrassa alone 1
1%
He didnt reach the age of schooling 1
1%
He is in madarasa 1
1%
He still small 1
1%
He's still young 1
1%
He's young 1
1%
Lack of fees 1
1%
Madrassa 1
1%
Not at age of school 1
1%
Not attained age 1
1%
Not attained at age of schooling 2
2.1%
Not attained the age 5
5.2%
Not atttend the age 1
1%
Not of age 1
1%
Not of age school 1
1%
Not yet,too young 1
1%
School is far 1
1%
School is too far 1
1%
She's young 1
1%
Small kid 1
1%
Still Young 2
2.1%
Still he didnt reach his age of going to school 1
1%
Still small 5
5.2%
Still young 5
5.2%
Still young to attend school 1
1%
The child has not attained the age to go to school 1
1%
The child is young 1
1%
The child is young and has not attained the age of going to school 1
1%
The child not attained school going age 1
1%
The child refused 1
1%
Too young 2
2.1%
Too young for school 1
1%
Too young to attend school 1
1%
Too young to go to school 1
1%
Too young to join school 4
4.2%
Under age 5
5.2%
Underage 5
5.2%
Very young 1
1%
Young 1
1%
child not attained at age of school 1
1%
child too young 1
1%
has not attained 1
1%
not attain age of school 1
1%
the chid is young 1
1%
too young 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.
Kenya National Data Archive (KeNADA)

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