Home / Central Data Catalog / IMPACT_EVALUATION / TZA_2012_VBIIE-EL_V01_M / variable [F9]
impact_evaluation

Virtual Business Incubator Impact Evaluation 2012, Endline Survey

Tanzania, 2012
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Reference ID
TZA_2012_VBIIE-EL_v01_M
DOI
https://doi.org/10.48529/q964-bk92
Producer(s)
Markus Goldstein, Elena Bardasi, Marine Gassier, Alaka Holla
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 15, 2016
Last modified
Dec 15, 2016
Page views
53479
Downloads
1213

Product/service name (es3q11_name)

Data file: products_anonymized

Overview

Valid: 1124
Invalid: 0
Type: Discrete
Start: 43
End: 79
Width: 37
Range: -
Format: character

Questions and instructions

Question pretext
List the three main products that the entrepreneur makes or services she provides
Literal question
What are your primary products or services?
- Product/service name
Categories
Value Category Cases
Achali 7
0.6%
Achar 2
0.2%
Alcohol 1
0.1%
Ammonium chrolide 1
0.1%
Anchovy 2
0.2%
Animal carvings 1
0.1%
Animal medicines 1
0.1%
Animals 2
0.2%
Ant-malaria drugs 1
0.1%
Azam cola 1
0.1%
Banana 8
0.7%
Baobab nuts 1
0.1%
Bar soap 1
0.1%
Barbecue 1
0.1%
Batik 46
4.1%
Batik clothes 3
0.3%
Beads 5
0.4%
Beans 5
0.4%
Beauty 1
0.1%
Bed sheets 1
0.1%
Bedcovers 16
1.4%
Bedsheet 2
0.2%
Beef mix 1
0.1%
Beer 2
0.2%
Beers 3
0.3%
Bees 1
0.1%
Belts 1
0.1%
Bilimbi 5
0.4%
Bites 8
0.7%
Blouse 3
0.3%
Body spray 1
0.1%
Bottles 1
0.1%
Bracelet 2
0.2%
Bracelets 1
0.1%
Breads 1
0.1%
Bride decoration 1
0.1%
Buns 6
0.5%
Burns 1
0.1%
Busket 1
0.1%
Buskets 6
0.5%
Butter 1
0.1%
Cake 5
0.4%
Candles 1
0.1%
Carpet 1
0.1%
Carpets 1
0.1%
Carving 1
0.1%
Carvings 13
1.2%
Cashewnuts 1
0.1%
Cassava 3
0.3%
Cassava flour 5
0.4%
Castlite beer 1
0.1%
Catering 2
0.2%
Chaff of grain 1
0.1%
Chain 1
0.1%
Chair covers 2
0.2%
Chairs for rent 1
0.1%
Chapati 28
2.5%
Chapati/Rice burn 1
0.1%
Charcoal 2
0.2%
Chichen 1
0.1%
Chichen for meat 1
0.1%
Chicken 42
3.7%
Chicken egss 1
0.1%
Chicken for eggs 1
0.1%
Chicken for meat 17
1.5%
Chicken meat 7
0.6%
Chickken for meat 1
0.1%
Chiicken for meat and eggs 1
0.1%
Chips 6
0.5%
Cicken for meat 1
0.1%
Clips 1
0.1%
Clothes 6
0.5%
Clothes from Tailor 1
0.1%
Clothes from the tailor 1
0.1%
Coldril 1
0.1%
Cooking oil 1
0.1%
Cosmetics 2
0.2%
Covers 3
0.3%
Cow pea leaves 1
0.1%
Crowns 1
0.1%
Cucumber 1
0.1%
Curtains 1
0.1%
Cutting and cleaning 1
0.1%
Decorating 1
0.1%
Decorating in different ceremonies 1
0.1%
Decoration 1
0.1%
Diclopa 1
0.1%
Different decoration 1
0.1%
Different dresses for brides 1
0.1%
Dress 2
0.2%
Dress from tailor 1
0.1%
Dresse 1
0.1%
Dresses 10
0.9%
Dressing table 1
0.1%
Drinks 5
0.4%
Earings 1
0.1%
Earrings 4
0.4%
Education 1
0.1%
Eggs 18
1.6%
Embroidered garments 2
0.2%
Female garment 1
0.1%
Female garments 14
1.2%
Female pouch 1
0.1%
Female shoes 1
0.1%
Fish 2
0.2%
Fish and cassava 1
0.1%
Fishes 5
0.4%
Flour 8
0.7%
Flower 1
0.1%
Flower vases 1
0.1%
Flowers 3
0.3%
Food 18
1.6%
Food seller 1
0.1%
Food selling 2
0.2%
Foods 4
0.4%
Fried fishes 3
0.3%
Fruits 3
0.3%
Garden 1
0.1%
Garlic 1
0.1%
Garlic Paste 1
0.1%
Garment 4
0.4%
Garment from Tailors 1
0.1%
Garment from tailors 8
0.7%
Garments 23
2%
Garments for selling 1
0.1%
Garments from Tailors 1
0.1%
Garments from tailors 5
0.4%
Garments tailoring 1
0.1%
Grape wine 1
0.1%
Gravel 1
0.1%
Green stone 1
0.1%
Groundnuts 1
0.1%
Hair dressing 4
0.4%
Hair plaiting 2
0.2%
Hair retouching 1
0.1%
Half cake 1
0.1%
Hall decoration 1
0.1%
Halls decoration 1
0.1%
Hen 1
0.1%
Honey 4
0.4%
Household Assets 1
0.1%
Housing 1
0.1%
Iron flower vases 1
0.1%
J&L handcraft 2
0.2%
Jam 2
0.2%
Juice 7
0.6%
Juice cola 1
0.1%
Karibu Tanzania 1
0.1%
Kibo, Rosela wine 1
0.1%
Kid clothes 1
0.1%
Kid garments 1
0.1%
Kilimanjaro 1
0.1%
Kitenge 1
0.1%
Liguid Soap 1
0.1%
Liguid soap 1
0.1%
Liqiud soap 2
0.2%
Liquid soap 20
1.8%
Liquis soap 1
0.1%
Local Chicken 1
0.1%
Local chicken 3
0.3%
Local eggs 1
0.1%
Local pots 1
0.1%
Local/masai shoes 1
0.1%
Loincloth 17
1.5%
Loincloth from batik 1
0.1%
M-pesa 1
0.1%
Maize 2
0.2%
Maize flour 1
0.1%
Making cakes 1
0.1%
Male garments 1
0.1%
Male trouser 1
0.1%
Mango pick 1
0.1%
Mango pickle 6
0.5%
Mangoes 3
0.3%
Mangopick 2
0.2%
Mangopickle 1
0.1%
Mangopickles 2
0.2%
Manure 1
0.1%
Masai 1
0.1%
Masai beads 1
0.1%
Masai carvings 2
0.2%
Masai couple 2
0.2%
Masai shoes 1
0.1%
Masala drink 1
0.1%
Masks 1
0.1%
Matutina Rosella Choya 1
0.1%
Matutina Rosella wine 1
0.1%
Matutina tea spices 1
0.1%
Mawingu Carvings 1
0.1%
Meat 6
0.5%
Mec Soap 1
0.1%
Men clothes 2
0.2%
Metakefin 1
0.1%
Metals 1
0.1%
Milk 7
0.6%
Millet 1
0.1%
Mixed food 1
0.1%
Mosquito nets 1
0.1%
Mseto/ALU 1
0.1%
Mushroom 1
0.1%
Natural honey 1
0.1%
Neckles 1
0.1%
Neckles/ earrings 1
0.1%
Nickles 1
0.1%
Noodles 1
0.1%
Nutrition 9
0.8%
Nutrition flour 4
0.4%
Nutrition flour from millet 1
0.1%
Nutritional flour 1
0.1%
Nutritious flour 8
0.7%
Oil 4
0.4%
Onions 1
0.1%
Panadol 1
0.1%
Pea 1
0.1%
Peanut butter 10
0.9%
People 1
0.1%
Perfume 2
0.2%
Piece of Clothes 1
0.1%
Piece of clothes 6
0.5%
Pigs 1
0.1%
Pilau 3
0.3%
Pilau spices 1
0.1%
Pilllow covers 2
0.2%
Pillow covers 7
0.6%
Pillows 1
0.1%
Pineapple wine 1
0.1%
Pink lotion 1
0.1%
Pink stone 1
0.1%
Plaiting 1
0.1%
Porridge 1
0.1%
Potatoes 1
0.1%
Pouch 4
0.4%
Pukopa 1
0.1%
Purdah 1
0.1%
Radish products 3
0.3%
Ready made clothes 2
0.2%
Refrigerator 1
0.1%
Rhinocerous 1
0.1%
Rice 40
3.6%
Rice burns 2
0.2%
Rice cake 1
0.1%
Rice masala 1
0.1%
Rice, stiff prridge,fish, beans, meat 1
0.1%
Rings 1
0.1%
Rosella 3
0.3%
Rosella flour 1
0.1%
Rosella flowers 1
0.1%
Rosella wine 1
0.1%
Roses 3
0.3%
Salt 1
0.1%
Sambusa 1
0.1%
Sellinf fishes 1
0.1%
Selling food 1
0.1%
Set of neckles 1
0.1%
Shampoo 1
0.1%
Shirt 2
0.2%
Shirts 6
0.5%
Shirts for school uniform 1
0.1%
Shoes 4
0.4%
Short trouser 1
0.1%
Shorts 1
0.1%
Skirt 1
0.1%
Skirt and blouse 1
0.1%
Small pouch 1
0.1%
Soap 12
1.1%
Soda 19
1.7%
Sofa 1
0.1%
Sofa covers 5
0.4%
Soft touch 1
0.1%
Soup 1
0.1%
Soya 1
0.1%
Soya Nutrition 2
0.2%
Soya milk 1
0.1%
Soya tea 4
0.4%
Spectacles cases 1
0.1%
Spice tea lemon Grass 1
0.1%
Spices 1
0.1%
Sport cigarette 1
0.1%
Standard 1
0.1%
Stiff porridge 3
0.3%
Sugar 5
0.4%
T-shirt 1
0.1%
Table 1
0.1%
Table covers 2
0.2%
Tablemates 1
0.1%
Tailor 1
0.1%
Tailoring 1
0.1%
Tea 4
0.4%
Tea spices 2
0.2%
Tigo-pesa 1
0.1%
Timbers 1
0.1%
Tooth pastes 1
0.1%
Top lemon 1
0.1%
Tray 1
0.1%
Tropic honey 1
0.1%
Trouser 2
0.2%
Trousers 1
0.1%
Ugali 8
0.7%
Uhai drinking water 2
0.2%
Uhakika nutritious flour 1
0.1%
Undershirt for men 1
0.1%
Vaseline 1
0.1%
Vegetable 1
0.1%
Vegetables 6
0.5%
Video 1
0.1%
Vitenge 6
0.5%
Waist chain 5
0.4%
Wallet 1
0.1%
Water 11
1%
Wedding ceremony 1
0.1%
Wheat flour 2
0.2%
Whole meal maize 1
0.1%
Wine 2
0.2%
Wine making 1
0.1%
Women clothes 3
0.3%
Women garments 1
0.1%
Women selling food 1
0.1%
banana 1
0.1%
baobab oil 3
0.3%
bar soaps 1
0.1%
batik 5
0.4%
batik garments 1
0.1%
batik loincloth 1
0.1%
batik making 1
0.1%
battery 1
0.1%
bedcovers 5
0.4%
beer 1
0.1%
beers 2
0.2%
bilimbi 2
0.2%
bites 3
0.3%
black stone 1
0.1%
bowl 1
0.1%
buskets 1
0.1%
cards 1
0.1%
carvings 1
0.1%
cement 1
0.1%
chapati 1
0.1%
charcoal 1
0.1%
charge 1
0.1%
chicken 9
0.8%
chicken for meat 5
0.4%
chicken meat 2
0.2%
chill source 1
0.1%
clothes 1
0.1%
cooking oil 1
0.1%
covers 2
0.2%
eggs 7
0.6%
exercise books 1
0.1%
female garments 3
0.3%
fishes 2
0.2%
flour 3
0.3%
garment 1
0.1%
garments 1
0.1%
garments from tailors 1
0.1%
goats 1
0.1%
hair dressing 1
0.1%
hair dressing services 1
0.1%
hair setting 1
0.1%
half cake 1
0.1%
hall decorating 2
0.2%
hammork 1
0.1%
honey 3
0.3%
kanga 1
0.1%
kerosene 1
0.1%
liquid soap 3
0.3%
local chicken 1
0.1%
loincloth batik 1
0.1%
loincloth made from batik 1
0.1%
maize flour 1
0.1%
mango picko 1
0.1%
mangopick 1
0.1%
mangopicko 2
0.2%
milk 3
0.3%
millet flour 1
0.1%
mosquito net 1
0.1%
mushroom 1
0.1%
nutrition 1
0.1%
nutritious flour 2
0.2%
oil 1
0.1%
onions 1
0.1%
overall 1
0.1%
pea 1
0.1%
peanut butter 5
0.4%
pillow covers 2
0.2%
pork 2
0.2%
poultry keeping 3
0.3%
rice 6
0.5%
rice burn 1
0.1%
samosa 1
0.1%
scarf 1
0.1%
selling flowers 1
0.1%
shirt 1
0.1%
shoes 2
0.2%
skirt and blouse 1
0.1%
soap 4
0.4%
soda 2
0.2%
soya drink 1
0.1%
special pocket 1
0.1%
sugar 1
0.1%
sweaters 1
0.1%
table covers 2
0.2%
tailor 2
0.2%
tea spices 2
0.2%
trousers 1
0.1%
ugali 9
0.8%
vegetable 3
0.3%
vegetable seeds 1
0.1%
vegetables 2
0.2%
vitenge 1
0.1%
waist chain 1
0.1%
water 2
0.2%
wine 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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