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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
74667
Downloads
3738
  • Study Description
  • Data Description
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  • greaterkampala_finalized_data_2017_02

Others specify (T10b_96o)

Data file: greaterkampala_finalized_data_2017_02

Overview

Valid: 319
Invalid: 0
Type: Discrete
Start: 5081
End: 5132
Width: 52
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
"Barber services " 2
0.6%
"Bodaboda transport services " 2
0.6%
"Burning cassette Diskettes(CDS) and selling films " 1
0.3%
"Buying Soft Drinks like soda and water " 1
0.3%
"CAR PARKING SERVICES " 1
0.3%
"Cassava Chips " 1
0.3%
"Charges on Money transfer services " 1
0.3%
"Charging Phones " 1
0.3%
"Charging Services " 1
0.3%
"Computer Services " 1
0.3%
"Cost of goods bought for resale " 1
0.3%
"DRY CLEANING SERVICES " 1
0.3%
"From customers " 1
0.3%
"Garradge " 2
0.6%
"General merchandise " 1
0.3%
"HAIR DRESSING " 2
0.6%
"Hair Dressing " 1
0.3%
"Hair Dressing services " 2
0.6%
"Hair dressing " 1
0.3%
"Hair dressing services " 1
0.3%
"Hair shaving services " 3
0.9%
"Hair shaving services / Barber shop " 1
0.3%
"Hairdressing " 3
0.9%
"Hairdressing services " 1
0.3%
"LAUNDRY SERVICE " 1
0.3%
"Manufacturering of pancakes " 1
0.3%
"Medical Services " 1
0.3%
"Mending shoes " 1
0.3%
"Mobile Money " 1
0.3%
"Mobile Money Services " 1
0.3%
"Mobile money " 2
0.6%
"Mobile money and phone charging " 1
0.3%
"Mobile money services " 2
0.6%
"Money Received from Treating Sick people " 1
0.3%
"Money from the Customers " 23
7.2%
"Money got from Typing and printing " 1
0.3%
"Money got from ironing clothes " 1
0.3%
"Money transfer services charge " 1
0.3%
"Motorcycle repair and maintenance " 1
0.3%
"Motorcycle repair services " 1
0.3%
"Nail polishing services " 1
0.3%
"PLAITING HAIR " 1
0.3%
"Payment for number of clothes washed " 1
0.3%
"Photographing and Videography services " 1
0.3%
"REPAIRING " 1
0.3%
"REPAIRING CARS " 1
0.3%
"Repairing motorcycles " 1
0.3%
"Retail shop " 3
0.9%
"Riding " 1
0.3%
"Riding a boda boda " 1
0.3%
"SALOON SERVICES " 1
0.3%
"SELLING FOOD " 2
0.6%
"Sale of Charcoal " 2
0.6%
"Sale of Drugs " 1
0.3%
"Sale of Scrap " 1
0.3%
"Sale of Vegetables " 3
0.9%
"Sale of Vegetables likeTomatoes and onions " 1
0.3%
"Sale of fried cassava " 1
0.3%
"Sale of household consumables " 1
0.3%
"Sales from samosas and pancakes " 1
0.3%
"Salon " 2
0.6%
"Shoe repair and Shining services " 1
0.3%
"Shoe repair services " 1
0.3%
"Shop " 1
0.3%
"TAILORING SERVICES " 2
0.6%
"Tailoring " 1
0.3%
"Tailoring services " 2
0.6%
"Treating people " 1
0.3%
"Trimming hair " 1
0.3%
"WASHING CLOTHES " 1
0.3%
"airtime " 1
0.3%
"bedsheets " 1
0.3%
"betting " 1
0.3%
"drinks " 1
0.3%
"dry cleaning services " 1
0.3%
"dry cleaning services " 1
0.3%
"electrical appliances " 1
0.3%
"fire wood " 1
0.3%
"for DSTV PACKAGE " 1
0.3%
"from the Customers " 1
0.3%
"gents saloon " 2
0.6%
"goods not else where classfied " 1
0.3%
"hair " 1
0.3%
"hair cutting services " 1
0.3%
"hair dressing " 1
0.3%
"hair dressing service " 1
0.3%
"hairdressing " 1
0.3%
"hairdressing and plaiting " 1
0.3%
"hairdressing services " 5
1.6%
"income from trimming hair services " 1
0.3%
"ladies salon " 1
0.3%
"ladies saloon " 3
0.9%
"lorry " 1
0.3%
"making box for packing tomato " 1
0.3%
"medicine " 1
0.3%
"money from the Customers " 6
1.9%
"money received from sewing of clothes " 1
0.3%
"none " 1
0.3%
"photocopy services " 1
0.3%
"pre primary education " 1
0.3%
"repairs clothing " 1
0.3%
"repairs electronic " 1
0.3%
"repairs electronics " 1
0.3%
"repairs garments " 1
0.3%
"repairs motor vehicles " 1
0.3%
"restaurant services " 1
0.3%
"sale of general merchandise " 2
0.6%
"sale of goods purchased for resale " 1
0.3%
"sale of groceries " 2
0.6%
"sale of household goods " 10
3.1%
"sale of ladies clothes " 1
0.3%
"sale of meat " 1
0.3%
"sale of second hand clothes " 2
0.6%
"sale of spare parts " 2
0.6%
"sales of goods purchased for resale " 2
0.6%
"saloon services " 1
0.3%
"secretarial services " 1
0.3%
"selling used clothes " 1
0.3%
"shoe repairing " 1
0.3%
"tailoring services " 4
1.3%
"timber " 1
0.3%
"videos and music " 1
0.3%
"website development " 1
0.3%
0 35
11%
Administrations 1
0.3%
CLINIC 1
0.3%
CLOTHES 1
0.3%
DOOR COLLECTIONS 1
0.3%
HAIR CUTTING 1
0.3%
HAIR DRESSING 1
0.3%
Hair cutting 1
0.3%
Hair dressing 1
0.3%
Hairdressing 1
0.3%
MOBILE MONEY SERVICE 1
0.3%
RETAIL SHOP 3
0.9%
RETAIL TRADE 1
0.3%
Retail shop sales 1
0.3%
SELLING OF CHARCOAL 1
0.3%
SELLING OF DRINKS 1
0.3%
SELLING OF FRIED FISH 1
0.3%
SELLING OF MEAT 1
0.3%
SELLING TAP WATER 1
0.3%
STALL 2
0.6%
Sale of Beans 1
0.3%
Sale of Meat 1
0.3%
Sale of Vegetables 1
0.3%
Sale of goods in the retail shop 1
0.3%
Salon 1
0.3%
TAILORING CLOTHES 1
0.3%
TREATING 1
0.3%
TREATING AND PLEATING HAIR 1
0.3%
Tailoring 2
0.6%
boda boda mechanic 1
0.3%
buying eggs 1
0.3%
charcoal 2
0.6%
charcoal selling 2
0.6%
computer services 1
0.3%
cutting hair 1
0.3%
gents salon 1
0.3%
hair dressing 5
1.6%
haircutting 1
0.3%
hairdressing 3
0.9%
ladies saloon 2
0.6%
mending torn clothes 1
0.3%
milk selling 1
0.3%
mobile money 1
0.3%
parking fees 1
0.3%
rentals 1
0.3%
repairs shoes 2
0.6%
retail shop 1
0.3%
sale of cement 1
0.3%
sale of drinks 1
0.3%
sale of general machandize 1
0.3%
sale of general merchandise 1
0.3%
sale of goods 1
0.3%
saloon services 1
0.3%
savings from the previous job 1
0.3%
selling biscuits 1
0.3%
selling charcoal 1
0.3%
selling drugs 1
0.3%
selling mangoes 1
0.3%
selling of banana 1
0.3%
selling of bananas 1
0.3%
selling of drugs 1
0.3%
selling of general machandise 5
1.6%
selling of spare parts 1
0.3%
sewing clothes 1
0.3%
tailoring 1
0.3%
toilet service 1
0.3%
treating patients 1
0.3%
unisex saloon 1
0.3%
washing bay 1
0.3%
washing clothes 2
0.6%
washing of clothes 1
0.3%
weldering 1
0.3%
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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