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    Home / Central Data Catalog / DDI-KEN-MOH-SMS-MRS-2023-V001 / variable [F1]
central

MARSABIT SMART SURVEY 2023

Kenya
Ministry of Health
Created on February 05, 2025 Last modified February 05, 2025 Page views 24002 Download 112 Documentation in PDF Metadata DDI/XML JSON
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  • Marsabit_2023_hh
  • Marsabit_2023_hl
CSV JSON

Specify other. (hv022)

Data file: Marsabit_2023_hh

Overview

Valid: 265
Invalid: 0
Type: Discrete
Width: 57
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Aid from well wishers 1
0.4%
Animals trade 2
0.8%
Assistance from children 3
1.1%
Assistance from people 1
0.4%
Blind depends on well wishers 1
0.4%
Boda boda 4
1.5%
Boda boda business 1
0.4%
Boda boda rider 1
0.4%
Bodaboda 11
4.2%
Borrowing from relatives 1
0.4%
Business woman 1
0.4%
Businessman 2
0.8%
Buying and selling of livestock 1
0.4%
Carpenter 1
0.4%
Casual labor 1
0.4%
Casual labour 1
0.4%
Casual labourer 1
0.4%
Charcoal burning 1
0.4%
Child 1
0.4%
Children support 4
1.5%
Children assistance 3
1.1%
Children support 2
0.8%
Chv 1
0.4%
Community support 1
0.4%
Contractor 1
0.4%
Depend on family livehood 1
0.4%
Depended on family members_ blind 1
0.4%
Depending on family and neighbours 1
0.4%
Depending on relativies 1
0.4%
Depends mostly on her mother 1
0.4%
Depends on children 1
0.4%
Depends on elderly funds and from help from her children 1
0.4%
Depends on family 1
0.4%
Disabled old person 1
0.4%
Driver 5
1.9%
Elderly 1
0.4%
Elderly person living alone 1
0.4%
Family assistant 1
0.4%
Family support 1
0.4%
Food aid 5
1.9%
From friends and families 1
0.4%
Get income from her children 1
0.4%
Gift 1
0.4%
Gold mining 1
0.4%
Help from brother 1
0.4%
Help from children 4
1.5%
Help from elderly children 1
0.4%
Help from family and freinds 1
0.4%
Help from other children 2
0.8%
Help from people 1
0.4%
Helping by their children 1
0.4%
Herding 3
1.1%
House wife 1
0.4%
Housewife 10
3.8%
Imaam 1
0.4%
Income from children 2
0.8%
Madrassa teacher 1
0.4%
Mining 1
0.4%
Money send to me by my children 1
0.4%
Motorcycle rider 3
1.1%
No job 1
0.4%
No occupation 7
2.6%
None 10
3.8%
None, old age 1
0.4%
None, old age 1
0.4%
Nothing 1
0.4%
Old age 1
0.4%
Old aged lady 1
0.4%
Old person 1
0.4%
Paralyzed 1
0.4%
Pastor 2
0.8%
Pension 1
0.4%
Rely on Relatives support 1
0.4%
Rely on his children salary 1
0.4%
Remember 1
0.4%
Remetance 1
0.4%
Remittance 1
0.4%
Remittance or gifts 1
0.4%
Retired 1
0.4%
Retired police officer 1
0.4%
Retirement 1
0.4%
Sale of mirra 1
0.4%
Sales mirra 2
0.8%
Sales water 1
0.4%
Schooling 1
0.4%
Security guard 1
0.4%
Self employed 1
0.4%
Selling of coal 1
0.4%
Selling of miraa 2
0.8%
Selling of small duka 1
0.4%
Selling of soko 1
0.4%
Selling of that,mirra 1
0.4%
Shop keeper 2
0.8%
Small kiosk of selling miraa 1
0.4%
Stay at home husband 1
0.4%
Stay at home mom due to childs disability 1
0.4%
Support by children 1
0.4%
Support from children 9
3.4%
Support from families 1
0.4%
Support from her children 1
0.4%
Support from his children 2
0.8%
Taxi 1
0.4%
Taxi driver 2
0.8%
The husband is disable 1
0.4%
Through support from others 1
0.4%
Trade 1
0.4%
Tuktuk driver 2
0.8%
UNEMPLOYED 1
0.4%
Un employed 1
0.4%
Unemployed 61
23%
Unemployment 1
0.4%
Very old man 1
0.4%
Watchman 1
0.4%
Well wisher 1
0.4%
Well wishers 7
2.6%
Well wishers suport 1
0.4%
Well-wisher 1
0.4%
Well-wishers 1
0.4%
Welwishers 1
0.4%
retired teacher 1
0.4%
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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