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
Get Microdata
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
71138
Downloads
1290

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.
Interviewer instructions
Enable if :current.ES3Q11_category is not null
Back to Catalog

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.