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Kenya Continuous Household Survey Programme (KCHSP) - 2020 Annual

Kenya, 2020
Kenya National Bureau of Statistics
Created on June 01, 2022 Last modified June 01, 2022 Page views 59807 Download 2242 Documentation in PDF Metadata DDI/XML JSON
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What was [NAME]'s main status a year ago? (d21_other)

Data file: 2020 KCHSP Annual (Individuals Data)

Overview

Valid: 1679
Type: Discrete
Width: 101
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
##N/A## 1
0.1%
A child 32
1.9%
Aged 11
0.7%
Angeline was still young 1
0.1%
At home and too young to work 1
0.1%
Awaiting to join school 3
0.2%
Awaiting to join village polytechnic 1
0.1%
Bedridden. 1
0.1%
Charity is too young 1
0.1%
Child 1
0.1%
Could not work due to age(Too old) 1
0.1%
Couldn't do work because he was still sick 1
0.1%
DEPENDANT 1
0.1%
DISABLED 2
0.1%
DON'T WORK FOR NOW 3
0.2%
Deaf 1
0.1%
Dependant 1
0.1%
Diana was too young 1
0.1%
Disabled 10
0.6%
Disabled (unable to work) 1
0.1%
Disabled due to stroke hence was just at home 1
0.1%
Edwin is too young 1
0.1%
Elderly 1
0.1%
Farmer 5
0.3%
Farming 12
0.7%
Farming and own account worker 2
0.1%
Farming and own account worker. 2
0.1%
Farming and rope making 1
0.1%
Has been sick 1
0.1%
Has never been employed 1
0.1%
Has never worked 1
0.1%
Has never worked. 1
0.1%
Has permanent disability 1
0.1%
He is sick hence unable to work 1
0.1%
He was involved in road accident where he broke his two legs and hence was unable to work since 2017. 1
0.1%
He was sick 1
0.1%
He was too young for work and going to school 1
0.1%
Housewife 2
0.1%
ILLNESS MAKES HER UNABLE TO WORK 1
0.1%
INCAPACITATED 3
0.2%
INCAPACITATED. 1
0.1%
INCAPACITATED/DISABLED. 1
0.1%
INSANE 1
0.1%
Illness can not work 1
0.1%
Illness can't work 1
0.1%
Illness couldn't do work 1
0.1%
In capacitated 1
0.1%
Incapacitated 12
0.7%
Incapacitated (visually impaired) 1
0.1%
Incapacitated. 1
0.1%
Incapacited 1
0.1%
Injury, no hand 1
0.1%
Just at home 1
0.1%
KID/ TODDLER 2
0.1%
KID/TODDLER 4
0.2%
Kid 1
0.1%
Looks after his goats 1
0.1%
MENTALLY CHALLENGED 1
0.1%
MENTALLY INCAPACITATED 1
0.1%
Mental problem 1
0.1%
Mentally challenged 3
0.2%
Mentally sick 2
0.1%
NEVER WORKED 10
0.6%
NOT APPLICABLE 1
0.1%
NOT WORKING, STILL YOUNG TO WORK 1
0.1%
Nelly is still young 1
0.1%
None.Sick 1
0.1%
Not applicable 1
0.1%
Not doing anything 1
0.1%
Not engaged - Too young 1
0.1%
Not schooling just operating at home 1
0.1%
Not upright she has a disability 1
0.1%
Not working 3
0.2%
Not working just a member of the household 2
0.1%
Not working just helped in household chores 1
0.1%
Not working just relaxing at home 2
0.1%
Not working just stays at home 1
0.1%
Not working still young 1
0.1%
Not working, incapacitated 1
0.1%
Not working. 1
0.1%
Not working. Too young to wotk 1
0.1%
OLD AGE 7
0.4%
OWN ILLNESS 1
0.1%
Old Age 3
0.2%
Owm account worker 1
0.1%
Own Account Worker 2
0.1%
Own Account worker 1
0.1%
Own account worker 1
0.1%
Own account worker 102
6.1%
Own account worker. 1
0.1%
Own disability 1
0.1%
Own illness 2
0.1%
Passive farming 1
0.1%
Permanent Disability 1
0.1%
Permanent Disability. 1
0.1%
Permanent Dissability 1
0.1%
Permanent Mental sickness 1
0.1%
Person with disability (Talking impairement) 1
0.1%
Phone Accessories dealer 1
0.1%
Physically challenged 1
0.1%
Retired 2
0.1%
Retired/Too old to work 1
0.1%
SICKLING 1
0.1%
SICKNESS. 3
0.2%
SUBSISTENCE FARMER 1
0.1%
Saiyore is young 1
0.1%
Self employed 50
3%
Self employed 2015 1
0.1%
Self employed 2017 1
0.1%
Self-employed 1
0.1%
She does not work 1
0.1%
She had some disability hence unemployed but not looking for a job 1
0.1%
She is just but a family member,she does not work. 1
0.1%
She is too old to work 1
0.1%
She was too old to work 1
0.1%
Sick 4
0.2%
Sick and suffers from memory loss 1
0.1%
Sick and too old to work 1
0.1%
Sick and unable to work 1
0.1%
Sick in bed 1
0.1%
Sick not able to work 1
0.1%
Sick was not able to work 1
0.1%
Sick(Struck by lightning hence permanent inability to work) 1
0.1%
Sickling 2
0.1%
Sickness 2
0.1%
Sickness unable to work 1
0.1%
Small scale farmer 1
0.1%
Staying at home due to sickness 1
0.1%
Staying at home, she's too old to work 1
0.1%
Stays at home due to permanent disability 1
0.1%
Still Ill 1
0.1%
Still Incapacitated 1
0.1%
Still young 1
0.1%
Street boy 1
0.1%
Studying computers and farming 1
0.1%
Subsistence Farmer 1
0.1%
TODDLER/ KID 9
0.5%
TODDLER/KID 4
0.2%
TOO OLD TO WORK 1
0.1%
TOO YOUNG 2
0.1%
TOO YOUNG TO ATTEND SCHOOL OR WORK 1
0.1%
TOO YOUNG TO STUDY OR WORK 1
0.1%
TOO YOUNG TO WORK 16
1%
TOO YOUNG TO WORK OR ATTEND SCHOOL 2
0.1%
TOO YOUNG TO WORK OR STUDY 1
0.1%
TOO YOUNG TO WORK/STUDY 1
0.1%
Temporary Disability (Injured). 1
0.1%
Temporary Ill 1
0.1%
Temporary illness can not work 1
0.1%
Temporary illness not able to work 1
0.1%
Temporary sick 1
0.1%
To join college 1
0.1%
Too Young to work 2
0.1%
Too Young to work. 1
0.1%
Too old 5
0.3%
Too old to work 19
1.1%
Too old to work and sick 1
0.1%
Too old to work. 1
0.1%
Too sick for Long 1
0.1%
Too young 10
0.6%
Too young to attend school 1
0.1%
Too young to be employed 1
0.1%
Too young to engage in any activity 1
0.1%
Too young to work 46
2.7%
Too young to work, has attained school attending age but hasn't joined yet. 1
0.1%
Too young to work. 5
0.3%
Too young, waiting to join school 1
0.1%
UNEMPLOYED NOT SEEKING EMPLOYMENT SINCE HE HAS MENTAL DISORDER 1
0.1%
Unable to work 3
0.2%
Unable to work due to disability 1
0.1%
Unable to work paralysed 1
0.1%
Undefined. 1
0.1%
Unemployed (Not seeking job) 1
0.1%
Unemployed (elderly) 1
0.1%
Unemployed (too young) 1
0.1%
Unemployed and Elderly 1
0.1%
Unemployed and elderly 1
0.1%
Unemployed and not a student 1
0.1%
Unemployed and not seeking a job(mentally unstable) 1
0.1%
Unemployed and not seeking employment ( disabled) 1
0.1%
Unemployed and still too young 1
0.1%
Unemployed due to sickness 1
0.1%
Unemployed not seeking employment 1
0.1%
Unemployed not seeking employment due to her old age 1
0.1%
Unemployed not seeking employment due to her old age. 5
0.3%
Unemployed not seeking employment due to his old age. 1
0.1%
Unemployed not seeking employment since he is permanently disable 1
0.1%
Unemployed not seeking employment since he is permanently disable. 1
0.1%
Unemployed not seeking employment since he is too old 1
0.1%
Unemployed not seeking employment since he lost his sight and he cant see. 1
0.1%
Unemployed not seeking employment since she is incapacitated and unable to work 1
0.1%
Unemployed not seeking employment since she is too old to work. 1
0.1%
Unemployed not seeking employment. 3
0.2%
Unemployed not seeking work due to disability 1
0.1%
Unemployed(too young) 1
0.1%
Unemployed/Not seeking employment and not a student 1
0.1%
Waiting to Join school 1
0.1%
Waiting to join college 5
0.3%
Waiting to join college after completing Kenya Certificate of Secondary Education. 1
0.1%
Waiting to join school 7
0.4%
Was hit by the motorbike and is now mentally and physically incapacitated 1
0.1%
Was not able to work due to sickness 1
0.1%
Was not working just a member of the household. 1
0.1%
Was sick and bed ridden 1
0.1%
Was sick and could not go to school or work. 1
0.1%
Was still too young to work 1
0.1%
Young 1
0.1%
Young and not doing anything 1
0.1%
Young and not working 5
0.3%
Young to work 1
0.1%
Young, Unemployed and Not in School 1
0.1%
Young, Unemployed and not in School 2
0.1%
a child 1
0.1%
a child who was just at home 1
0.1%
aged 11
0.7%
aged and visually disable 1
0.1%
aged person 1
0.1%
at home 80
4.8%
at home with the family 2
0.1%
blind 1
0.1%
business lady 1
0.1%
business man 1
0.1%
casual labour 1
0.1%
casual labourer 21
1.3%
casual worker 4
0.2%
child 33
2%
dependant 1
0.1%
dependant- disabled 1
0.1%
dependant- mentally ill 1
0.1%
disability 1
0.1%
disable 4
0.2%
disable settling home 1
0.1%
disabled 6
0.4%
disabled child 2
0.1%
doesn't work 1
0.1%
elderly 1
0.1%
family member with disability issue 1
0.1%
farmer 3
0.2%
farming 1
0.1%
has mental disability. cant work 1
0.1%
he has been mentally ill 1
0.1%
he is not in a state to work due to his disability 1
0.1%
he is sick 2
0.1%
help at home 1
0.1%
house wife 1
0.1%
impared 1
0.1%
incapacitated 32
1.9%
incapacitated due to permanent disability 1
0.1%
incapacitated to work 1
0.1%
incapacitated to work or study 1
0.1%
incapacitated. 1
0.1%
incapacited 1
0.1%
infant 1
0.1%
injured/incapable to work 1
0.1%
injured/incapacitated 1
0.1%
just a child 1
0.1%
just completed school awaiting university intake 2
0.1%
just stays at home 1
0.1%
last year this person was an own account. 1
0.1%
livestock herder 1
0.1%
living with disability 1
0.1%
looking after animals 4
0.2%
looking after goats 9
0.5%
looking after the goat 2
0.1%
looking after the goats 2
0.1%
mental illness 1
0.1%
mental illness problems 1
0.1%
mental problem 1
0.1%
mentally Challenged 1
0.1%
mentally challenged 5
0.3%
mentally ill 1
0.1%
never worked 3
0.2%
never worked, incapacitated 2
0.1%
none 1
0.1%
none disabled 1
0.1%
none injured 1
0.1%
none sick 1
0.1%
not available 1
0.1%
not doing anything 1
0.1%
not in job markrt 1
0.1%
not interested to work 1
0.1%
not joined school yet,too young to work 1
0.1%
not working 7
0.4%
not working as she is old 1
0.1%
not working, incapacitated 1
0.1%
not working,stays at home 1
0.1%
not working,too old to work 1
0.1%
not yet born. 1
0.1%
not yet joined school 1
0.1%
old age 2
0.1%
old age plus a terminal illness thus unemployed and neither seeking employment 1
0.1%
old and mentally challenged hence unable to work or seek employment 1
0.1%
old person 2
0.1%
own account 13
0.8%
own account worker 93
5.5%
own account worker (building houses) 1
0.1%
own account worker practicing small scale mixed farming 1
0.1%
own illness 1
0.1%
peasant farmer 1
0.1%
permanent disability 15
0.9%
permanently disabled 3
0.2%
personal business 1
0.1%
physically challenged 1
0.1%
physically handicapped 1
0.1%
plwd 1
0.1%
raising her newborn son 1
0.1%
retired 1
0.1%
schooling 3
0.2%
self 1
0.1%
self employed 20
1.2%
self employed small scale agriculture 1
0.1%
self-employed 1
0.1%
self-employed i.e sold chips at the roadside 1
0.1%
selfemployed 39
2.3%
selfemployed/casual labourer 1
0.1%
she been handicapped for the rest of her life. 1
0.1%
she cannot work, she is blind 1
0.1%
she helps a beggar in begging on daily basis 1
0.1%
she is a beggar around mombasa Town 1
0.1%
she is disabled 2
0.1%
she was ill 1
0.1%
she was sick 1
0.1%
she was sick last year so she just stayed home 1
0.1%
sick 10
0.6%
sick and elderly 1
0.1%
sick and unable to work and neither seeking employment 1
0.1%
sick at home 1
0.1%
sick child 1
0.1%
sick for a long period of time 1
0.1%
sick(became insane) 1
0.1%
sick, unable to work 1
0.1%
sick,he can't work 1
0.1%
sick,not working 1
0.1%
sickling 1
0.1%
sickly 1
0.1%
sickness 4
0.2%
sitting home 3
0.2%
sitting home/too young to work 1
0.1%
small scale farmer 2
0.1%
small scale subsistence farming 1
0.1%
special - cant work 1
0.1%
spinal injury after an accident 1
0.1%
stay at home child 13
0.8%
staying at home 5
0.3%
staying at home too old to work 1
0.1%
staying at home(too young to work) 1
0.1%
still Young 1
0.1%
still a student 2
0.1%
still doing the same Job 1
0.1%
still too young 1
0.1%
still too young to attend school 1
0.1%
subsistence farmer 1
0.1%
subsistence mixed farmer 1
0.1%
temporary illness 2
0.1%
to young to work 2
0.1%
toi old 1
0.1%
too old 16
1%
too old to work 30
1.8%
too you to work 2
0.1%
too young 58
3.5%
too young to work or go to school 1
0.1%
too young for work 1
0.1%
too young just sitting home 1
0.1%
too young sitting home 2
0.1%
too young still plays at home 1
0.1%
too young to attend 1
0.1%
too young to attend school 1
0.1%
too young to go to school 1
0.1%
too young to have a status 1
0.1%
too young to work 255
15.2%
too young to work and don't attend school 1
0.1%
too young to work and wasn't attending school 1
0.1%
too young to work and wasn't in school 1
0.1%
too young to work nor attend school 1
0.1%
too young to work or go to school 1
0.1%
too young to work staying at home 1
0.1%
too young to work/go to school 1
0.1%
too young to working/not working 1
0.1%
too young worker 1
0.1%
too young. was not working nor schooling 1
0.1%
unable to work 2
0.1%
unable to work due to mental problems 1
0.1%
unable to work productively, mental condition 1
0.1%
unable to work, incapacitated 2
0.1%
unable to work- disabled 1
0.1%
unable to work. 1
0.1%
under age 1
0.1%
under age not attending school 1
0.1%
unemployed 2
0.1%
unemployed (,unable to work due to illness) 1
0.1%
unemployed (not seeking employment) 1
0.1%
unemployed (too young to work) 1
0.1%
unemployed and nit seeking for employment 1
0.1%
unemployed and not looking for a job 1
0.1%
unemployed and not looking for work 1
0.1%
unemployed and not looking for work(mentally unstable) 1
0.1%
unemployed and not searching 2
0.1%
unemployed and not seeking 1
0.1%
unemployed and not seeking a job 3
0.2%
unemployed and not seeking any job due to her disability status 1
0.1%
unemployed and not seeking employment 2
0.1%
unemployed and not seeking employment due stroke that made her permanent incapacitated 1
0.1%
unemployed and not seeking employment due to mental challenges since childhood. 1
0.1%
unemployed and not seeking job 4
0.2%
unemployed and not seeking work 4
0.2%
unemployed because of old age 1
0.1%
unemployed but not seeking employment due to sickness 1
0.1%
unemployed disabled 1
0.1%
unemployed due to blindness 1
0.1%
unemployed due to sickness 1
0.1%
unemployed incapacitated 1
0.1%
unemployed not able to work. incapacitated 1
0.1%
unemployed not looking for a job 1
0.1%
unemployed not seeking employment since she is permanently disable and hence unable to work 1
0.1%
unemployed person getting help from her children 1
0.1%
unemployed sick 4
0.2%
unemployed too old to work 1
0.1%
unemployed, incapacitated 1
0.1%
unemployed- she is sick not seeking employment 1
0.1%
unemployed. too old to work 1
0.1%
unemployed. disabled 1
0.1%
unwell 1
0.1%
unwell waiting to start school 1
0.1%
very old 1
0.1%
very young 1
0.1%
very young and didn't work 1
0.1%
very young and not working 1
0.1%
visual impairement 1
0.1%
waiting to join college 1
0.1%
was expectant and staying at home. 1
0.1%
was ill could not work 1
0.1%
was sick 1
0.1%
was sick and bed ridden 1
0.1%
was too young 3
0.2%
was too young to work 6
0.4%
was young 4
0.2%
wasn't working 1
0.1%
working employer 1
0.1%
working in her own saloon 1
0.1%
young 14
0.8%
young and not working 3
0.2%
young boy 1
0.1%
young child 1
0.1%
young/ child 1
0.1%
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.