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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
59061
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  • Study Description
  • Data Description
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  • greaterkampala_finalized_data_2017_02

Please list your main products and/or services in order of importance:1 (B020aa__1)

Data file: greaterkampala_finalized_data_2017_02

Overview

Valid: 819
Invalid: 0
Type: Discrete
Start: 909
End: 956
Width: 48
Range: -
Format: character

Questions and instructions

Literal question
Please list your main products and/or services in order of importance
Categories
Value Category Cases
" maize flour" 1
0.1%
"Beers " 1
0.1%
"Beverages " 1
0.1%
"Biscuits " 1
0.1%
"Bottled Water " 1
0.1%
"Cattle " 1
0.1%
"Cotton seed feeds " 1
0.1%
"Cupboard " 1
0.1%
"Eggs " 1
0.1%
"Events photography and Videography services " 1
0.1%
"Food warmers " 1
0.1%
"Fried cassava " 1
0.1%
"Furniture " 1
0.1%
"Glass ware " 1
0.1%
"Kitchenware " 1
0.1%
"Local Herb " 1
0.1%
"Manufacturing of Clothes " 1
0.1%
"Mardazi " 1
0.1%
"Meat " 1
0.1%
"Raw cattle meat " 1
0.1%
"Rice " 2
0.2%
"Soft drinks " 3
0.4%
"Sugar " 2
0.2%
"TOMATOES " 1
0.1%
"Tables " 1
0.1%
"Tealeaves " 2
0.2%
"beer " 1
0.1%
"bottled water " 1
0.1%
"bricks " 1
0.1%
"camera " 1
0.1%
"chicken meat " 1
0.1%
"cooking oil " 1
0.1%
"fried cassava " 1
0.1%
"handbags " 1
0.1%
"human hair " 1
0.1%
"irish potatoes " 1
0.1%
"maize flour " 1
0.1%
"metallic windows " 1
0.1%
"onions " 1
0.1%
"ordinary shirts " 1
0.1%
"potatoes " 1
0.1%
"rice " 2
0.2%
"shoe polishing " 1
0.1%
"sodas " 1
0.1%
"sweet potatoes " 1
0.1%
"tea service " 1
0.1%
"trouser repairing " 1
0.1%
"uniforms " 1
0.1%
"union " 1
0.1%
"vaseline and lotions " 1
0.1%
"waragi/Spirits " 1
0.1%
AIRTIME 1
0.1%
Airtime 1
0.1%
Alcohol 1
0.1%
All Food 1
0.1%
Antenatal care services 1
0.1%
Apples 1
0.1%
BABIES CLOTHES 1
0.1%
BEERS 1
0.1%
BREAD 2
0.2%
Bags 1
0.1%
Banana 1
0.1%
Battery charging 1
0.1%
Beans 9
1.1%
Beds 2
0.2%
Beef 1
0.1%
Beer 3
0.4%
Beers 1
0.1%
Beers and spirits 1
0.1%
Belts 1
0.1%
Biscuits 1
0.1%
Boiled Tea 1
0.1%
Books 1
0.1%
Bottled water 2
0.2%
Braids 3
0.4%
Bread 6
0.7%
Burning digital video disc 1
0.1%
Buskets 1
0.1%
CABBAGE 1
0.1%
CABBEGES 1
0.1%
CABBGE 1
0.1%
CASSAVA 1
0.1%
CHAPATI 1
0.1%
CHARCOAL 2
0.2%
CHICKEN (LOCAL ) 1
0.1%
COCONUT 1
0.1%
Cabagges 1
0.1%
Cabbage 3
0.4%
Cabbages 2
0.2%
Cakes 2
0.2%
Carbbage 1
0.1%
Casava 1
0.1%
Cassava 1
0.1%
Cassava chips 1
0.1%
Chapati 1
0.1%
Chicken 3
0.4%
Children shoes 1
0.1%
Clothes 1
0.1%
Coartem 1
0.1%
Coffee and tea 1
0.1%
Cooking Oil 1
0.1%
Cooking oil 2
0.2%
Cosmetic 1
0.1%
Cow 1
0.1%
Cow dung 1
0.1%
Cupboard 1
0.1%
Cupboards 1
0.1%
DAUGHNUTS 1
0.1%
DELIVERECY 1
0.1%
DRINKS 3
0.4%
Disk/cd selling 1
0.1%
Door 1
0.1%
Door frames 1
0.1%
Doors 5
0.6%
Dresses 1
0.1%
Dry beans 1
0.1%
Duddies 1
0.1%
EAR RINGS 2
0.2%
EGGS 2
0.2%
ELECTICAL FITTINGS 1
0.1%
Egg plant 1
0.1%
Egg plants 2
0.2%
Eggplants 3
0.4%
Eggs 4
0.5%
Electrical appliances 1
0.1%
FOOT BALL MATCHES 1
0.1%
FRIED CASSAVA 1
0.1%
FRIED G NUTS 1
0.1%
Flour 2
0.2%
Food 2
0.2%
Fried Cassava 1
0.1%
Fried cassava 1
0.1%
Fruits 2
0.2%
GRAPHIC DESIGNING 1
0.1%
Gladiator 1
0.1%
Grain flour 1
0.1%
Green pepper 1
0.1%
HALF CAKES 1
0.1%
HAND BAGS 1
0.1%
Hair dressing saloon 1
0.1%
Hair plating 2
0.2%
Half cakes 1
0.1%
Human hair 1
0.1%
IRON SHEETS 1
0.1%
IRONING CLOTHES 1
0.1%
Irish Potatoes 1
0.1%
Juice 1
0.1%
Kikomando 1
0.1%
Ladies shoes 1
0.1%
Lorex 1
0.1%
MAKING HAIR 1
0.1%
MATOOKE 2
0.2%
MEAT 1
0.1%
MENDING OF GAMENTS 1
0.1%
METALIC WINDOWS 1
0.1%
METALLIC DOORS 1
0.1%
MONEY PURSES 1
0.1%
MTN mobile money service 1
0.1%
Maintainance and repair of house hold appliances 1
0.1%
Maize Flour 1
0.1%
Maize Grain 1
0.1%
Maize flour 7
0.9%
Mandazi 1
0.1%
Matoke 1
0.1%
Matooke 2
0.2%
Meat 1
0.1%
Men's Clothes 1
0.1%
Men's shoes 1
0.1%
Metal Doors 1
0.1%
Metal caskets 1
0.1%
Metalic doors 1
0.1%
Metalic windows 1
0.1%
Milk 1
0.1%
Mobile money services 2
0.2%
NECKLASES 1
0.1%
Nails 1
0.1%
ONIONS 1
0.1%
Off layers for meat 1
0.1%
Onions 20
2.4%
Oranges 3
0.4%
Other Furniture 1
0.1%
POSH 1
0.1%
POSHO 4
0.5%
Pan Cakes 1
0.1%
Pan cake 1
0.1%
Pancakes 1
0.1%
Phone accessories 1
0.1%
Phone charging 1
0.1%
Plastics 1
0.1%
Poles 1
0.1%
Posho 4
0.5%
Printing 2
0.2%
Qwanga Cassava 1
0.1%
RECEIVING MONEY 1
0.1%
RECORDING SONGS ON CDS 1
0.1%
RICE 3
0.4%
ROLEX 2
0.2%
Repair of clothes 1
0.1%
Rice 17
2.1%
Rolex 13
1.6%
SALT 1
0.1%
SAMUSAS 1
0.1%
SAURCE ( MEAT ) 1
0.1%
SELLING OF BEAR 1
0.1%
SELLING OF MATOOKE 1
0.1%
SELLING OF POSHO 1
0.1%
SHIRTS 1
0.1%
SIDEBOARDS 1
0.1%
SILVER FISH 1
0.1%
SODA 4
0.5%
SODAS 2
0.2%
SOFT DRINKS 1
0.1%
SPIRITS 1
0.1%
SUGAR 1
0.1%
SWEETPOTATOES 1
0.1%
Sale of Airtime 1
0.1%
Salt 2
0.2%
Sambusa 1
0.1%
Samosas 3
0.4%
Saop 1
0.1%
Shirts 1
0.1%
Small fish/ mukene 1
0.1%
Soap 7
0.9%
Soda 6
0.7%
Sodas 3
0.4%
Sofa 1
0.1%
Sofa set 1
0.1%
Soft drinks 11
1.3%
Spirit 1
0.1%
Spirits 4
0.5%
Sugar 33
4%
Sumbusers 3
0.4%
Sweet potatoes 2
0.2%
TEA 2
0.2%
TEA AND COFFEE 1
0.1%
TOMATOES 2
0.2%
TREATING HAIR 1
0.1%
Tables 1
0.1%
Tealeaves 2
0.2%
Toilet paper 1
0.1%
Tomatoes 19
2.3%
Tonatoes 1
0.1%
Toys 1
0.1%
Uganda Warrage 1
0.1%
Video library 1
0.1%
WATER 1
0.1%
WINDOWS 2
0.2%
Waragi 2
0.2%
Water 3
0.4%
Water melon 1
0.1%
Windows 3
0.4%
Wines 1
0.1%
Women and girls clothes 1
0.1%
Women wears 1
0.1%
Wooden Doors 1
0.1%
airtime 3
0.4%
antinental services 1
0.1%
asomycin 1
0.1%
avocado 1
0.1%
bakery products 2
0.2%
banana 1
0.1%
beans 5
0.6%
beds 2
0.2%
bedsheets 1
0.1%
beer 3
0.4%
bitenji 1
0.1%
blouses 2
0.2%
boilers 1
0.1%
bottled water 4
0.5%
bread 4
0.5%
bread and other baker's 1
0.1%
broilers 1
0.1%
cabbages 3
0.4%
carrots 2
0.2%
cassava 4
0.5%
cassava chips 2
0.2%
cassette disk 1
0.1%
chacaol 1
0.1%
chairs 1
0.1%
chapat rolex 1
0.1%
chapati 2
0.2%
chapatis 1
0.1%
charcoal 2
0.2%
chicken 1
0.1%
chicken meat 1
0.1%
cigarettes 1
0.1%
cooked beans 2
0.2%
cooking oil 6
0.7%
cosmetic treatment 1
0.1%
cotton feeds 1
0.1%
daddies 1
0.1%
doors 1
0.1%
doughnuts 3
0.4%
drawers 1
0.1%
drinks 2
0.2%
dvd players 1
0.1%
earring 1
0.1%
egg plant 1
0.1%
eggs 5
0.6%
exhaust pipes 1
0.1%
fire wood 1
0.1%
food processors 1
0.1%
fried G.nuts 1
0.1%
fried cassava 2
0.2%
fried eggs 1
0.1%
fried fish 1
0.1%
goats 1
0.1%
gomesi 1
0.1%
groundnuts pounded 1
0.1%
hair creams 1
0.1%
hair dressing 1
0.1%
hair plaiting 1
0.1%
haircutting(barbers) 1
0.1%
half cakes 1
0.1%
hand bags 1
0.1%
human hair 1
0.1%
irish potatoes 3
0.4%
iron bars 1
0.1%
ironing clothes 1
0.1%
laboratory services 1
0.1%
live chicken 1
0.1%
live chicken 1
0.1%
local brew 1
0.1%
maize flower 1
0.1%
maize flour 9
1.1%
making cough and flu mixtures 1
0.1%
mandazi 5
0.6%
matooke 3
0.4%
meat 4
0.5%
mending old clothes 1
0.1%
mentalic windows 1
0.1%
metallic doors 1
0.1%
metallic windows 2
0.2%
metrogyl 1
0.1%
milk 1
0.1%
mineral water 2
0.2%
mining 1
0.1%
motor spare parts 1
0.1%
mukomboti 1
0.1%
nails 2
0.2%
necklace 1
0.1%
necklaces 1
0.1%
non alcoholic beverages 1
0.1%
non alcoholic drinks 1
0.1%
offals 1
0.1%
onions 24
2.9%
oranges 1
0.1%
ovacado 1
0.1%
painox 1
0.1%
paint 1
0.1%
pancakes 2
0.2%
ped cure 1
0.1%
pens 1
0.1%
photo frames 1
0.1%
piggy banks 1
0.1%
pigs 1
0.1%
pineapple juice 1
0.1%
pipeline 1
0.1%
plaiting 1
0.1%
poles 1
0.1%
porridge 1
0.1%
posho 4
0.5%
pot 1
0.1%
pots 1
0.1%
repair of old clothes 1
0.1%
rice 19
2.3%
rolex 2
0.2%
rolex (chapati and eggs ) 1
0.1%
sale of electronic appliances 1
0.1%
sale of non alcoholic beverages 1
0.1%
sale onions 2
0.2%
secretarial services 1
0.1%
selling of phone accessories 1
0.1%
selling phones 1
0.1%
serving meals 1
0.1%
shirts 1
0.1%
shoe polishing 1
0.1%
shoe repairs 1
0.1%
shoes 2
0.2%
silver fish 1
0.1%
snacks 1
0.1%
soap 16
2%
soda 13
1.6%
sodas 8
1%
soft drinks 7
0.9%
soya beans 2
0.2%
spirits 1
0.1%
spoons 1
0.1%
sugar 15
1.8%
sugarcane 1
0.1%
sumbusa 4
0.5%
surfing 1
0.1%
sweet banana 1
0.1%
sweet bananas 1
0.1%
sweet potatoes 4
0.5%
sweets 1
0.1%
sylups 1
0.1%
thread 1
0.1%
toilet paper 1
0.1%
tomatoes 12
1.5%
tomotoes 3
0.4%
tubes 1
0.1%
tyres 1
0.1%
uniform 1
0.1%
unions 1
0.1%
vegetables 2
0.2%
waragi 1
0.1%
water 5
0.6%
whiskey 1
0.1%
windows 1
0.1%
withdrawals 1
0.1%
women's clothing 1
0.1%
wooden beds 1
0.1%
woofer 1
0.1%
woofers 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.
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