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    Home / Central Data Catalog / UGA_2016_NMPS-ISS_V01_M / variable [F1]
central

National Manpower Survey 2016, Kampala Informal Sector Survey

Uganda, 2016
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Reference ID
UGA_2016_NMPS-ISS_v01_M
DOI
https://doi.org/10.48529/8h55-gf47
Producer(s)
World Bank
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 10, 2019
Last modified
Jan 10, 2019
Page views
57513
Downloads
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  • greaterkampala_finalized_data_2017_02

Other (specify) (E020o)

Data file: greaterkampala_finalized_data_2017_02

Overview

Valid: 122
Invalid: 0
Type: Discrete
Start: 2245
End: 2302
Width: 58
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
"Blick making " 1
0.8%
"Donation from daughter " 1
0.8%
"Donation from relatives " 3
2.5%
"FROM FRIENDS " 1
0.8%
"FROM HUSBAND " 3
2.5%
"FROM HUSBUND " 1
0.8%
"Family " 1
0.8%
"From Husand " 2
1.6%
"From friends " 1
0.8%
"From my Husband " 2
1.6%
"From other business " 1
0.8%
"From other businesses " 1
0.8%
"From the previous business " 1
0.8%
"Income from own business " 1
0.8%
"Making pancakes and frying cassava " 1
0.8%
"NONE " 9
7.4%
"Not Applicable " 1
0.8%
"Not applicable " 1
0.8%
"Not own saving " 1
0.8%
"Other job " 1
0.8%
"Own account computer repairer " 1
0.8%
"Own account laundry services " 1
0.8%
"Own account market sales person " 1
0.8%
"Own account worker " 1
0.8%
"PRIVIOUS BUSINESS " 1
0.8%
"PROFIT FROM THE BUSINESS " 1
0.8%
"Previous business " 1
0.8%
"Previous personal business " 1
0.8%
"SAVING FROM ANOTHER BUSINESS " 1
0.8%
"SAVINGS FROM HOME WELFARE MONEY " 1
0.8%
"Sale of pigs " 1
0.8%
"Sales of airtime " 1
0.8%
"Save money from my Marriage " 1
0.8%
"contribution from others (husband " 1
0.8%
"contribution from others " 2
1.6%
"design articles " 1
0.8%
"from apprenticeship " 1
0.8%
"from boda boda ridding " 1
0.8%
"from business " 1
0.8%
"from husband " 1
0.8%
"from my father " 1
0.8%
"from other jobs " 1
0.8%
"from savings " 1
0.8%
"from second job " 1
0.8%
"from washing people's clothes " 1
0.8%
"hawking " 1
0.8%
"her restaurant " 1
0.8%
"home savings " 1
0.8%
"money saved from other business " 1
0.8%
"own previous business " 2
1.6%
"own savings from her previous shop " 1
0.8%
"previous job of electrical technician " 1
0.8%
"rentals " 1
0.8%
"running employment " 1
0.8%
"save money from my Marriage " 1
0.8%
"saving from money for up keep at campus " 1
0.8%
"saving from money used to by food " 1
0.8%
"savings from village groups " 1
0.8%
"savings from home daily expenses on shopping " 1
0.8%
"self employed " 1
0.8%
"self employed in selling shoes " 1
0.8%
"self employed owning a butcher " 1
0.8%
"self employment " 2
1.6%
"selling chapati " 1
0.8%
"selling matooke " 1
0.8%
"stall market " 1
0.8%
"started very small but been expanding using own savings " 1
0.8%
"was saving in women sacco " 1
0.8%
"washing people's clothes " 4
3.3%
"working in a salon " 1
0.8%
CURRENT EMPLOYMENT 1
0.8%
FROM PARENTS 1
0.8%
FROM PREVIOUS WORK 1
0.8%
From Husand 1
0.8%
House hold savings 1
0.8%
NONE 2
1.6%
Non governmental organisations 1
0.8%
Other job 1
0.8%
Rentals 1
0.8%
SAVING FROM HOME 1
0.8%
SAVING FROM MONEY FOR FOOD 1
0.8%
SAVING FROM MONEY LEFT FOR FOOD 1
0.8%
SAVING FROM THE CURRENT JOB 1
0.8%
Saving money what my Husband gave me 1
0.8%
Savings from Retail shop 1
0.8%
Savings from faculty allowances 1
0.8%
Self employment 1
0.8%
casual or odd jobs in stone quarrying 1
0.8%
from tution fees 1
0.8%
from what they used to leave for food at home 1
0.8%
from what was being left for me to use at home 1
0.8%
home savings 1
0.8%
household saving 1
0.8%
household savings 1
0.8%
saving at home slowly 1
0.8%
savings 1
0.8%
savings from domestic money received 1
0.8%
savings from washing clothes for people 1
0.8%
savings on money for home consumption 1
0.8%
women's saccos 1
0.8%
worked with a brother and I got the startup capital 1
0.8%
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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