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    Home / Central Data Catalog / KEN_2009_MRHSS_V01_M / variable [F4]
central

Migration Household Survey 2009

Kenya, 2009
University of Nairobi
Created on June 01, 2022 Last modified June 01, 2022 Page views 94595 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • Household
  • section1
  • section4
  • section5
  • section6
  • section7
CSV JSON

Profession of migrant (q5_17a)

Data file: section5

Overview

Valid: 627
Invalid: 0
Type: Discrete
Width: 33
Range: -
Format: character

Questions and instructions

Literal question
What is (NAME)’s current occupation?
Categories
Value Category Cases
11 1
0.2%
Accontant 1
0.2%
Accountant 18
2.9%
Administration police 1
0.2%
Administrator 1
0.2%
Airhostess 2
0.3%
Airport Worker 1
0.2%
Architect 1
0.2%
Army 1
0.2%
Ass. HR officer 1
0.2%
Auditor 1
0.2%
Bank Credit Manager 1
0.2%
Bank Manager 1
0.2%
Bank manager 1
0.2%
Banker 8
1.3%
Banking 1
0.2%
Beautician 1
0.2%
Britsh Army 1
0.2%
Business 1
0.2%
Business Lady 1
0.2%
Business Manager 1
0.2%
Business lady 2
0.3%
Business person 1
0.2%
Business woman 1
0.2%
Businesslady 3
0.5%
Businessman 1
0.2%
Cabin Crew 1
0.2%
Cashier 1
0.2%
Caterer 2
0.3%
Chef 4
0.6%
Cleaner 1
0.2%
Clerk 1
0.2%
Clinica; Counsellor 1
0.2%
Community development officer 1
0.2%
Computer engineering 1
0.2%
Computer programmer 3
0.5%
Consultant 1
0.2%
Cook 2
0.3%
Counsellor 1
0.2%
Diplomat 1
0.2%
Doctor 19
3%
Driver 28
4.5%
Elderly Care 1
0.2%
Electrician 1
0.2%
Engeneer 2
0.3%
Engineer 6
1%
Evangelist 1
0.2%
Farmer 2
0.3%
Fishery Factory 1
0.2%
Flourist 1
0.2%
Hair dresser 1
0.2%
Hospital Administrator 1
0.2%
Hotel 1
0.2%
Hotel Keeper 2
0.3%
Hotel Manager 1
0.2%
Hotel manager 3
0.5%
Hoteleir 1
0.2%
Hotelier 2
0.3%
House Keeping 2
0.3%
Househelp 3
0.5%
Housewife 1
0.2%
I.T business 1
0.2%
IT Software Speacilist 1
0.2%
IT officer 2
0.3%
IT specialist 1
0.2%
IT technician 1
0.2%
Information Technology 1
0.2%
Information technology 1
0.2%
Information technology technician 1
0.2%
Information techonolgy officer 1
0.2%
Insurance clerk 1
0.2%
Insurance company 1
0.2%
Journalist 3
0.5%
Lawyer 9
1.4%
Lecturer 3
0.5%
Manager 1
0.2%
Manager KMC 1
0.2%
Marketing 1
0.2%
Marketing manager 1
0.2%
Mason 1
0.2%
Masonary 1
0.2%
Mechanic 4
0.6%
Mechanics 1
0.2%
Nurse 16
2.6%
Nurse aide 1
0.2%
Nursing 5
0.8%
Own Business 1
0.2%
Paramedics 1
0.2%
Pastor 1
0.2%
Permanent Secretary 1
0.2%
Petrol Station Attendant 1
0.2%
Pharmacist 1
0.2%
Police 1
0.2%
Project Manager 1
0.2%
Relief Advisor 1
0.2%
Researcher 1
0.2%
Roads engineer 1
0.2%
Runs a Hotel 1
0.2%
Sailor 1
0.2%
Saloon 1
0.2%
Secretary 2
0.3%
Sells Clothes 1
0.2%
Sells Fish 1
0.2%
Shop Attendant 1
0.2%
Shop attendant 1
0.2%
Store man 1
0.2%
Student 3
0.5%
Tailor 4
0.6%
Teacher 10
1.6%
Teaching 5
0.8%
Telephone Operator 1
0.2%
Tour Guide 1
0.2%
Tracier manager 1
0.2%
Tuk Tuk Operator 1
0.2%
US Marine 1
0.2%
United Nations 1
0.2%
Vetinary officer 1
0.2%
Waiter 5
0.8%
Waitress 1
0.2%
Welder 3
0.5%
Welding 1
0.2%
accountant 9
1.4%
accounts clerk hotel 1
0.2%
administrator 2
0.3%
animal husbandry 1
0.2%
architect 1
0.2%
artician 1
0.2%
auto-mechaninc 1
0.2%
bank manager 1
0.2%
banker 5
0.8%
barber 1
0.2%
beuaty therapy 1
0.2%
businesman 1
0.2%
business 4
0.6%
business lady 1
0.2%
business man 1
0.2%
business management 1
0.2%
business manager 1
0.2%
businessman 3
0.5%
bussiness lady 1
0.2%
cabin crew 2
0.3%
car washer 1
0.2%
caring for the old 1
0.2%
carpenter 2
0.3%
cashier 3
0.5%
casual labourer 1
0.2%
caterer 1
0.2%
catering 1
0.2%
chef 2
0.3%
chief 1
0.2%
civil engineering 1
0.2%
cleaner 1
0.2%
clearing and forwarding 1
0.2%
clerk 5
0.8%
clerk airport 1
0.2%
clerk bank 1
0.2%
clerk union car bag 1
0.2%
clinical officer 1
0.2%
commmnication manager 1
0.2%
computer 1
0.2%
computer engineerin 1
0.2%
computer operator 1
0.2%
conductor 1
0.2%
contructor 1
0.2%
cook 2
0.3%
counsellor 1
0.2%
customer care 1
0.2%
debit manager/stachart bank 1
0.2%
designer 1
0.2%
director 1
0.2%
doctor 6
1%
dressmaker 1
0.2%
driver 21
3.3%
economist 1
0.2%
electrical engineer 2
0.3%
electrical shop 1
0.2%
electrical technician 1
0.2%
electrician 6
1%
electritian 1
0.2%
engeneer 1
0.2%
engineer 4
0.6%
engineering 1
0.2%
fabricator 1
0.2%
farmer 10
1.6%
fashion designer 3
0.5%
fisherman 2
0.3%
florist 1
0.2%
forester 1
0.2%
global marketing manager 1
0.2%
guard 1
0.2%
haidresser 1
0.2%
hairdresser 2
0.3%
hawker 1
0.2%
health officer 3
0.5%
hotel manager 1
0.2%
hotelier 1
0.2%
house keeper 1
0.2%
househelp 4
0.6%
insurance manager 1
0.2%
investor 1
0.2%
it expert 2
0.3%
kenol kobil attendant 2
0.3%
knitting sweeters 1
0.2%
lab technician 1
0.2%
labaratory technician 1
0.2%
labourer 1
0.2%
lawyer 1
0.2%
leathering 1
0.2%
lecturer 4
0.6%
lecturere 1
0.2%
lega advisor 1
0.2%
machine assembly 1
0.2%
mason 2
0.3%
masonary 1
0.2%
masonery 1
0.2%
mechanic 9
1.4%
mechanics 3
0.5%
medical officer 1
0.2%
messenger 1
0.2%
millitary 1
0.2%
motor mechanic 1
0.2%
musician 1
0.2%
network engeeneer 1
0.2%
news editor 1
0.2%
nurse 19
3%
nursing 9
1.4%
nutitionist 1
0.2%
office messenger 1
0.2%
painter 1
0.2%
petrol station attendant 1
0.2%
phamarcist 1
0.2%
pharmacist 1
0.2%
pilot 1
0.2%
planning advisor 1
0.2%
plant machine operator 1
0.2%
plumber 1
0.2%
police 1
0.2%
post mistress 1
0.2%
preacher 1
0.2%
printing 1
0.2%
professor-University of nairobi 1
0.2%
programme officcer 1
0.2%
receptionist 1
0.2%
researcher 1
0.2%
sales 2
0.3%
sales agent 1
0.2%
sales lady 2
0.3%
sales lady (clothes) 1
0.2%
sales man 1
0.2%
sales person 1
0.2%
sales person in a shop 1
0.2%
sales representative 1
0.2%
sales supermarket 1
0.2%
sales woman 1
0.2%
salesman 1
0.2%
saloonist 2
0.3%
secretary 7
1.1%
security guard 1
0.2%
selling clothes 1
0.2%
selling new clthes 1
0.2%
sells clothes 2
0.3%
sergent 1
0.2%
shoemaker 1
0.2%
shopkeeper 1
0.2%
social scientist 1
0.2%
social worker 1
0.2%
soldier 1
0.2%
steel engineer 1
0.2%
stores manager 1
0.2%
surgeon 2
0.3%
tailor 4
0.6%
teacher 43
6.9%
teaching 3
0.5%
transport 1
0.2%
truck driver 2
0.3%
waiter 7
1.1%
watchman 1
0.2%
water engeener 1
0.2%
welder 7
1.1%
welding 1
0.2%
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.
var_qstn_ivuinstr
Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household.
Question post text
Indicate the profession indicated e.g. teacher and code it appropriately
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