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    Home / Central Data Catalog / SMS / DDI-KEN-MOH-SMS-MRS-2019-V001 / variable [F1]
SMS

MARSABIT SMART SURVEY 2019

Kenya
County Level Smart Surveys in Kenya
Ministry of Health
Created on February 07, 2025 Last modified February 07, 2025 Page views 17522 Download 70 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
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  • Data files
  • Marsabit_2019_hl
  • Marsabit_2019_hh
CSV JSON

q2_7_other ; SPECIFY OTHER REASONS (pv017)

Data file: Marsabit_2019_hl

Overview

Valid: 366
Invalid: 0
Type: Discrete
Width: 52
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Allergic problem 1
0.3%
Attending Islamic madrasa 1
0.3%
Broken arm 1
0.3%
Child 1
0.3%
Claim to be young 1
0.3%
Considered still young to go to school 1
0.3%
Disabled 1
0.3%
Drop out 2
0.5%
Dropout 1
0.3%
Dropped out 1
0.3%
Due to poor performance 1
0.3%
Duski 5
1.4%
Engaged 1
0.3%
Failed KCPE 1
0.3%
Finished secondary school. 1
0.3%
HERDER 1
0.3%
Have young child 1
0.3%
He is considered not yet in school going age_ 1
0.3%
He is young. 1
0.3%
He refused school 1
0.3%
He refused to study 1
0.3%
He's still young 1
0.3%
He's too young 1
0.3%
Herder 7
1.9%
Herding 26
7.1%
His young 1
0.3%
House maid 1
0.3%
IDP 1
0.3%
Joining now 1
0.3%
Livestock 4
1.1%
Livestock herding 13
3.6%
Looking after their animals 1
0.3%
Looking after animals 1
0.3%
Looking after animals 2
0.5%
Looking after cattles 3
0.8%
Looking after her grandmother 1
0.3%
Looking after livestock 1
0.3%
Looking after their animals 1
0.3%
Looks after goats 1
0.3%
Lost interest 1
0.3%
Lost interest in school 1
0.3%
Madarasa 5
1.4%
Madrasa 5
1.4%
Mental disorder 1
0.3%
Mental problem 1
0.3%
Mother being ill,she does household chores 1
0.3%
Mother is insane 1
0.3%
Mother think he is under school going age 1
0.3%
Mother think she is too young to attend 1
0.3%
Mother thought he is under school going age 1
0.3%
Mother thought she is still young 1
0.3%
No fees 1
0.3%
No school near 1
0.3%
Not attained school age 2
0.5%
Not of age 1
0.3%
Not the right age for school 1
0.3%
Not yet 2
0.5%
Not yet in school going age 2
0.5%
Not yet in school-age 1
0.3%
Not yet reach 1
0.3%
Not yet reach age of going school 1
0.3%
Not yet reached 2
0.5%
Not yet school age. 1
0.3%
Not yet school going-age 1
0.3%
Refused 1
0.3%
Refused to go to school 1
0.3%
School too far for him to walk to 1
0.3%
She is young and does not reached school going age. 1
0.3%
She is young. 1
0.3%
She looks after animals 1
0.3%
She looks after goats. 1
0.3%
She take care young children 1
0.3%
Sickly 1
0.3%
Stays at home 2
0.5%
Still young 1
0.3%
Still young 20
5.5%
Still young according to her mother 2
0.5%
Still young according to her mum 2
0.5%
Still young according to mum 1
0.3%
Still young for school 1
0.3%
Still young to attend to school 1
0.3%
Still young to be in school 1
0.3%
Still young to go to school 1
0.3%
Still young to join 1
0.3%
Still young to school 2
0.5%
Study madarasa 2
0.5%
Study madrasa 1
0.3%
Taking care of livestock 10
2.7%
Taking care of the young ones at home 1
0.3%
To young 2
0.5%
Too small for enrollment 1
0.3%
Too young 23
6.3%
Too young for enrollment 1
0.3%
Too young to be in school 5
1.4%
Too young to enrol 1
0.3%
Too young to go to school 4
1.1%
Too young to school 1
0.3%
UNDER AGE 1
0.3%
Under age 25
6.8%
Underage 12
3.3%
Waiting to enroll new year 1
0.3%
Was ill 2
0.5%
Young 51
13.9%
Young for enrollment 1
0.3%
Young according to mother 1
0.3%
Young for enrollment 8
2.2%
Young for enrollment. 1
0.3%
Young not attained school going age 1
0.3%
Young to school 4
1.1%
Young to school as per the mother 1
0.3%
age not yet 1
0.3%
attendig Madarsa 1
0.3%
he is a herder 1
0.3%
herder 2
0.5%
looking after cattles 4
1.1%
looking after the cattles 1
0.3%
parent complain still young 1
0.3%
she small according to her mum 1
0.3%
still Young foe school going 1
0.3%
still young 1
0.3%
too young 1
0.3%
under Age 1
0.3%
under age 1
0.3%
underage 1
0.3%
young 13
3.6%
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.
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