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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
57485
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  • Study Description
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  • greaterkampala_finalized_data_2017_02

Raw materials you purchased:1 (T320b__1)

Data file: greaterkampala_finalized_data_2017_02

Overview

Valid: 532
Invalid: 0
Type: Discrete
Start: 5368
End: 5398
Width: 31
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
"After shave perfumes " 1
0.2%
"Baking Flour " 1
0.2%
"Cooking oil " 3
0.6%
"Hair pieces " 1
0.2%
"Maize flour " 1
0.2%
"Soya flour " 1
0.2%
"Thread " 1
0.2%
"Tomatoes " 1
0.2%
"cassava flour " 1
0.2%
"charcoal " 1
0.2%
"clatch plates " 1
0.2%
"cooking oil " 1
0.2%
"maid products " 1
0.2%
"nevia products " 1
0.2%
"tomatoes,onions and carrots " 1
0.2%
"vaccine " 1
0.2%
Angle bars 1
0.2%
BAKING POWDER 2
0.4%
BANANAS 1
0.2%
BEAKING FLOUR 2
0.4%
Baking Flour 1
0.2%
Baking Flour / powder 1
0.2%
Baking Powder 1
0.2%
Baking powder 5
0.9%
Bananas 1
0.2%
Beans 4
0.8%
Beer 1
0.2%
Braids 1
0.2%
Brands 1
0.2%
Bread 1
0.2%
CARPET 1
0.2%
CARROT 1
0.2%
CASSAVA 1
0.2%
CHACROAL 1
0.2%
CHARCOAL 1
0.2%
COFFEE SEED 1
0.2%
COLOURS 1
0.2%
COOKING OIL 14
2.6%
COTTON SEED CAKE 1
0.2%
Cao peas 1
0.2%
Carbbage 1
0.2%
Cassava 4
0.8%
Cassava flour 1
0.2%
Cement 1
0.2%
Charcoal 4
0.8%
Coastic acid 1
0.2%
Coconut 1
0.2%
Cooking oil 1
0.2%
Cooking Oil 7
1.3%
Cooking oil 31
5.8%
Cooking oils 1
0.2%
Cow peas 1
0.2%
Cows meat 1
0.2%
Curry podwer 1
0.2%
DRY FISH 1
0.2%
Darling Weaves 1
0.2%
Darling products 1
0.2%
Dewormer 1
0.2%
EGGS 1
0.2%
EMALGATOR 1
0.2%
Egg plants 1
0.2%
Eggplants 1
0.2%
Eggs 5
0.9%
FIRE WOOD 3
0.6%
FLOOR 1
0.2%
FLOUR 1
0.2%
FOOD 1
0.2%
FOOD ( RICE , POSHO , MATOOKE ) 1
0.2%
Feeds 1
0.2%
Firewood 1
0.2%
Fish wires 1
0.2%
Flour 5
0.9%
GLOVES 1
0.2%
GLUE 2
0.4%
GUM 2
0.4%
Green pepper 1
0.2%
Gum 1
0.2%
Hair Pieces 1
0.2%
Ink 1
0.2%
Insecticides 1
0.2%
Irish 1
0.2%
Iron bars 1
0.2%
Jack fruit seeds 1
0.2%
Layers 1
0.2%
Leave in treatment 1
0.2%
Linings 1
0.2%
Liver 1
0.2%
MEAT 3
0.6%
MILLET 1
0.2%
MUSIC 1
0.2%
Maize flour 1
0.2%
Matooke 3
0.6%
Meat 1
0.2%
Meats 1
0.2%
Medicine 2
0.4%
Men jeans 1
0.2%
Milk 3
0.6%
Movit products 2
0.4%
NAILS 1
0.2%
Nails 5
0.9%
Needle 1
0.2%
Needles 1
0.2%
ONIONS 3
0.6%
Office glue 1
0.2%
Oil 2
0.4%
Onions 3
0.6%
Onoions 1
0.2%
Other cosmetic 1
0.2%
POSH 1
0.2%
Paint 3
0.6%
Palm leaves 1
0.2%
Paper 1
0.2%
Pieces of clothes 1
0.2%
Pineapple 1
0.2%
Plates 1
0.2%
Posho 2
0.4%
Puff holders 1
0.2%
RICE 4
0.8%
Rice 13
2.4%
Roll of clothing 1
0.2%
Ropes 1
0.2%
SALT 1
0.2%
SAURCE ( MEAT, CHICKEN, BEANS) 1
0.2%
SILVER FISH 1
0.2%
SOAP 1
0.2%
SOFT CARPET 1
0.2%
SOFTERN 1
0.2%
SUGAR 2
0.4%
Salt 3
0.6%
Shells 1
0.2%
Shoe brash 1
0.2%
Soap 1
0.2%
Sockets 1
0.2%
Soda 1
0.2%
Sodas 2
0.4%
Spirist 1
0.2%
Steel sheets 3
0.6%
Sugar 11
2.1%
Sulphonic acid 1
0.2%
TOMSTOES 2
0.4%
Tcb leave in 1
0.2%
Tealeaves 1
0.2%
Thread 1
0.2%
Threads 1
0.2%
Timber 1
0.2%
Timbers 1
0.2%
Tomatoes 2
0.4%
Trowel 1
0.2%
VEGETABLES 1
0.2%
Vitamin 2
0.4%
WATER 3
0.6%
WELDING RODS 1
0.2%
Water 2
0.4%
Welding wire 1
0.2%
Wheat flour 3
0.6%
Wood glue 1
0.2%
Yeast 1
0.2%
Zippers 1
0.2%
baking flour 6
1.1%
baking powder 3
0.6%
banana 2
0.4%
bananas 2
0.4%
bars 1
0.2%
beads 1
0.2%
beans 4
0.8%
bottled water 2
0.4%
card boards 1
0.2%
carry powders 1
0.2%
cassava 1
0.2%
cassava flour 4
0.8%
charcoal 6
1.1%
cloth 1
0.2%
conditioner 1
0.2%
cooking 2
0.4%
cooking oil 2
0.4%
cooking oil 56
10.5%
cosmetic 1
0.2%
cosmetics 1
0.2%
cow peas 1
0.2%
cowhead 1
0.2%
creams 1
0.2%
design 1
0.2%
dried legumes 1
0.2%
drugs 1
0.2%
dye 1
0.2%
eggs 3
0.6%
firewood 2
0.4%
fish 1
0.2%
flour 1
0.2%
fresh fish 1
0.2%
fruid oil 1
0.2%
fruits 1
0.2%
gas 2
0.4%
glass beads 1
0.2%
hair braids 1
0.2%
hair relaxer cream 1
0.2%
hair treatment oil 1
0.2%
irish potatoes 1
0.2%
iron 1
0.2%
kassava flour 1
0.2%
lining 1
0.2%
lotion 1
0.2%
machine 1
0.2%
machines 1
0.2%
maize flour 2
0.4%
material 1
0.2%
matooke 3
0.6%
meat 5
0.9%
mineral water 1
0.2%
movit 1
0.2%
nail 1
0.2%
nails 3
0.6%
needles 1
0.2%
oil 1
0.2%
onion 1
0.2%
onions 11
2.1%
peas 2
0.4%
pineapples 1
0.2%
posha 2
0.4%
posho 2
0.4%
potatoes 1
0.2%
powder 1
0.2%
pre mix 1
0.2%
raw material 1
0.2%
ribbons 1
0.2%
rice 14
2.6%
salt 7
1.3%
shampoo 1
0.2%
shells 1
0.2%
shoe game 1
0.2%
shoe polish 2
0.4%
silver fish 1
0.2%
soap 2
0.4%
sodas 2
0.4%
soil 1
0.2%
sole 1
0.2%
soya beans 1
0.2%
spirit 1
0.2%
stainless steel pipes 1
0.2%
sugar 4
0.8%
sugarcane 1
0.2%
sweet bananas 1
0.2%
sweet potatoes 2
0.4%
tea leaves 1
0.2%
textiles 1
0.2%
thread 2
0.4%
threads 2
0.4%
tomotoes 2
0.4%
uniforms 1
0.2%
vanish 1
0.2%
wages &salaries 1
0.2%
washing soap 2
0.4%
water 1
0.2%
welding rodes 1
0.2%
wheat 1
0.2%
wheat flour 1
0.2%
wheat flour 5
0.9%
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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