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    Home / Central Data Catalog / UGA_2016_NMPS-ISS_V01_M / variable [V50]
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
57062
Downloads
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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:2 (B020aa__2)

Data file: greaterkampala_finalized_data_2017_02

Overview

Valid: 536
Invalid: 0
Type: Discrete
Start: 957
End: 1009
Width: 53
Range: -
Format: character

Questions and instructions

Literal question
Please list your main products and/or services in order of importance
Categories
Value Category Cases
"BREAD " 1
0.2%
"Bakery products " 1
0.2%
"Bananas " 1
0.2%
"Beans " 1
0.2%
"Cabbage " 1
0.2%
"Carrots " 1
0.2%
"Chairs " 1
0.2%
"Fridges " 1
0.2%
"Juice " 1
0.2%
"PINEAPPLE " 1
0.2%
"Posho / maize flour " 1
0.2%
"Rice grain " 1
0.2%
"Salt " 2
0.4%
"Soft drinks " 1
0.2%
"Tableware " 1
0.2%
"Tealeaves " 1
0.2%
"Vegetables " 1
0.2%
"beans " 1
0.2%
"book binding&photocoping " 1
0.2%
"cabbages " 1
0.2%
"charcoal " 2
0.4%
"cooking oil " 1
0.2%
"detergents " 1
0.2%
"liquors " 1
0.2%
"maize flour " 1
0.2%
"matooke " 1
0.2%
"pineapple " 1
0.2%
"rice " 1
0.2%
"salt " 1
0.2%
"skirt repairing " 1
0.2%
"sodas and soft drinks " 1
0.2%
"soft drinks " 2
0.4%
"sugar " 1
0.2%
ALCOHOLIC DRINKS 2
0.4%
ATENENTAL 1
0.2%
Alcohol 1
0.2%
BANGLES 2
0.4%
BEANS 1
0.2%
BREAD 3
0.6%
BUGLES 1
0.2%
Banana 1
0.2%
Bananas 3
0.6%
Basins 2
0.4%
Baskets 1
0.2%
Beans 11
2.1%
Beds 2
0.4%
Beers 1
0.2%
Bottled water 1
0.2%
Bread 6
1.1%
Breads 1
0.2%
Broken maize 1
0.2%
CABBAGES 1
0.2%
CHAIRS 1
0.2%
CHARGING MOBILE PHONES 1
0.2%
CHICKEN 2
0.4%
CLEANING CARPETS 1
0.2%
COOKING OIL 1
0.2%
Cabbages 6
1.1%
Cakes 2
0.4%
Carbbage 1
0.2%
Carrots 1
0.2%
Chairs 2
0.4%
Chapati 2
0.4%
Clothes 1
0.2%
Coconut oil 1
0.2%
Coffee and tea 1
0.2%
Cook Oil 1
0.2%
Cooking Oil 3
0.6%
Cooking oil 6
1.1%
Cupboard 1
0.2%
Curry powder 1
0.2%
Cushions 1
0.2%
DONATS 1
0.2%
DOORS 1
0.2%
Doughnuts 1
0.2%
Drinking water 1
0.2%
ELECTICAL ACCESORIES 1
0.2%
Egg plants 4
0.7%
Eggplant 2
0.4%
Eggplants 2
0.4%
Eggs 2
0.4%
Envelope 1
0.2%
FRIED MATOKE 1
0.2%
Facials 1
0.2%
Flour 1
0.2%
Food spices 1
0.2%
Fruit drink 1
0.2%
GATES 1
0.2%
Gates 1
0.2%
Grapes 1
0.2%
Green Pepper 1
0.2%
Green leafy vegetables 1
0.2%
Green paper 1
0.2%
Green pepper 2
0.4%
HALF CAKES 1
0.2%
HARD CORN 1
0.2%
Half cake 1
0.2%
IRISH 1
0.2%
IRISH POTATOES 1
0.2%
Irish 1
0.2%
Irish potatoes 1
0.2%
JUICE 1
0.2%
Kikomando 1
0.2%
MAIZE FEED 1
0.2%
MATOKE 1
0.2%
METALLIC WINDOWS 1
0.2%
MILLET FLOUR 1
0.2%
Maize 1
0.2%
Maize flour 2
0.4%
Metallic gates 1
0.2%
Milk 3
0.6%
Nursing services 1
0.2%
ONIONS 1
0.2%
Onions 14
2.6%
Ononios 1
0.2%
Oranges 1
0.2%
Ovacado 1
0.2%
PAMPERS 1
0.2%
PASSION JUICE 1
0.2%
PERFUMES 1
0.2%
POSH 2
0.4%
Pancakes 3
0.6%
Perfumes 1
0.2%
Pill plans 1
0.2%
Plastics 1
0.2%
Posho 2
0.4%
Poshuo 1
0.2%
RICE 2
0.4%
Repairing furniture 1
0.2%
Rice 14
2.6%
Rolex 1
0.2%
SELLING OF BEANS 1
0.2%
SODA 1
0.2%
SOFT DRINKS 1
0.2%
SPIRITS 2
0.4%
SUMBUSA 1
0.2%
Sale of second hand television 1
0.2%
Sale of spare parts 1
0.2%
Salt 6
1.1%
Sambusa 1
0.2%
Samsas 1
0.2%
Selling digital video disc 1
0.2%
Sideboards 1
0.2%
Soap 10
1.9%
Soda 6
1.1%
Soft drinks 7
1.3%
Spirits 1
0.2%
Spirits, wines and liquers 1
0.2%
Sugar 18
3.4%
TOMATOES 2
0.4%
Tables 1
0.2%
Televisions 1
0.2%
Tomatoes 5
0.9%
Tonatoes 1
0.2%
Typing 1
0.2%
VEGETABLES 1
0.2%
Vaseline 1
0.2%
Vegetables 3
0.6%
WIRE MESHES 1
0.2%
Waragi 2
0.4%
Water 2
0.4%
Windows 1
0.2%
Wine 2
0.4%
Women clothes 1
0.2%
Yellow bananas 2
0.4%
agofer 1
0.2%
armband 1
0.2%
avocado 1
0.2%
bakery products 1
0.2%
batch pasturizer 1
0.2%
battled water 1
0.2%
beans 14
2.6%
beds 2
0.4%
beers 1
0.2%
bibles 1
0.2%
books 1
0.2%
bottled mineral water 1
0.2%
bottled water 5
0.9%
bread 5
0.9%
bushara 1
0.2%
cabbage 5
0.9%
cabbages 4
0.7%
capboards 1
0.2%
carbages 1
0.2%
carrots 1
0.2%
cassava 2
0.4%
cement 1
0.2%
charcoal 2
0.4%
chips 1
0.2%
cook oil 1
0.2%
cooking oil 8
1.5%
cosmetic treatment 1
0.2%
detergents 1
0.2%
door flames 1
0.2%
doors 1
0.2%
dresses 1
0.2%
egg plants 1
0.2%
eggplant 2
0.4%
eggs 3
0.6%
facials 1
0.2%
fish 2
0.4%
folks 1
0.2%
fried cassava 2
0.4%
fried sweet potatoes 1
0.2%
garlic 1
0.2%
gomeses 1
0.2%
ground nuts 1
0.2%
half cake 1
0.2%
jellies 1
0.2%
juice 3
0.6%
layers 2
0.4%
maize corn 1
0.2%
maize flour 7
1.3%
mandazi 1
0.2%
matooke 1
0.2%
meat 3
0.6%
mentalic doors 1
0.2%
metallic beds 3
0.6%
metallic gate 1
0.2%
mineral water 4
0.7%
mukene 1
0.2%
mushroom 1
0.2%
nails 2
0.4%
neckties 1
0.2%
ocucycline 1
0.2%
onions 16
3%
onions, tomatoes, egg plant, green paper and oranges 1
0.2%
ordinary skirts 1
0.2%
ovacado 1
0.2%
packed water 1
0.2%
pain bam 1
0.2%
paint 1
0.2%
pan cakes 1
0.2%
pancakes 1
0.2%
passion Fruit Juice 1
0.2%
passion fruit 1
0.2%
pies 1
0.2%
pine apple juice 1
0.2%
plastics 1
0.2%
posho 2
0.4%
processed milk 1
0.2%
repair of old clothes 1
0.2%
rice 12
2.2%
sale chorcaol 1
0.2%
salt 5
0.9%
sending money 1
0.2%
sheep 1
0.2%
sideboards 1
0.2%
soap 8
1.5%
soda 6
1.1%
sodas 1
0.2%
soft drinks 6
1.1%
soya beans 1
0.2%
spirits and waragi 2
0.4%
stones 1
0.2%
sugar 7
1.3%
suger 1
0.2%
sunflower feeds 1
0.2%
sweet bananas 2
0.4%
sweet potatoes 2
0.4%
tea leaves 1
0.2%
televisions 1
0.2%
tomatoes 7
1.3%
tomotoes 1
0.2%
trousers 1
0.2%
tyres 1
0.2%
warag 1
0.2%
waragi 2
0.4%
washing soap 1
0.2%
water 2
0.4%
wheat 1
0.2%
wheat flour 1
0.2%
window and door frames 1
0.2%
wooden doors 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.
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