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    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
71410
Downloads
1292
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • businessequipment_anonymized
  • businesspersons_anonymized
  • groups_anonymized
  • hhassets_anonymized
  • hhgiftin_anonymized
  • hhgiftout_anonymized
  • hhmember_anonymized
  • inputs_anonymized
  • products_anonymized
  • respondent_anonymized
  • support_anonymized
  • timeuse_anonymized
  • variations_anonymized
  • womenharassment_anonymized
  • LoansIn
  • LoansOut

Specify other product (es3q11_specify)

Data file: products_anonymized

Overview

Valid: 406
Invalid: 0
Type: Discrete
Start: 14
End: 42
Width: 29
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?
- Specify Other
Categories
Value Category Cases
Alcohol 1
0.2%
Anchovy 1
0.2%
Banana 1
0.2%
Baobab oil 1
0.2%
Bar soap 1
0.2%
Batik 8
2%
Beads 1
0.2%
Beans 3
0.7%
Bed 1
0.2%
Bedcovers 5
1.2%
Beef mix 1
0.2%
Beer 2
0.5%
Beers 3
0.7%
Bilimbi 2
0.5%
Bites 1
0.2%
Body cosmetics 1
0.2%
Body spray 1
0.2%
Bracelet 1
0.2%
Buns 2
0.5%
Buskets 1
0.2%
Café 1
0.2%
Cake 4
1%
Candles 1
0.2%
Carpet 1
0.2%
Carpets 1
0.2%
Carvings 4
1%
Cashewnuts 1
0.2%
Cassava 1
0.2%
Cassava Processing 1
0.2%
Cassava flour 2
0.5%
Catering 1
0.2%
Chaff of grain 1
0.2%
Chairs for rent 1
0.2%
Chapati 2
0.5%
Charcoal 1
0.2%
Chicken 18
4.4%
Chicken eggs 1
0.2%
Chicken for meat 3
0.7%
Chicken meat 2
0.5%
Cigarette 1
0.2%
Clips 1
0.2%
Coldril 1
0.2%
Computer training center 1
0.2%
Cooking oil 1
0.2%
Cosmetics 1
0.2%
Cover thread 1
0.2%
Covers 1
0.2%
Crowns 1
0.2%
Cucumber 1
0.2%
Curtains 1
0.2%
Decorating 3
0.7%
Decoration 2
0.5%
Diclopa 1
0.2%
Different cosmetics 1
0.2%
Dresses 1
0.2%
Dressing table 1
0.2%
Dried vegetables 1
0.2%
Drink 1
0.2%
Drinks 9
2.2%
Earrings 3
0.7%
Eggs 3
0.7%
Electronic tools 1
0.2%
Fishes 2
0.5%
Flour 8
2%
Flour cassava 1
0.2%
Flower 1
0.2%
Flowers 7
1.7%
Food 6
1.5%
Garlic 1
0.2%
Garments 1
0.2%
Grains 1
0.2%
Gravel 1
0.2%
Grinded garlic 1
0.2%
Housing 1
0.2%
Human medicine 2
0.5%
Iron flower vase 1
0.2%
Juice 2
0.5%
Liquid soap 8
2%
Livestocks 1
0.2%
Local chicken 1
0.2%
Loincloth 2
0.5%
M-pesa 1
0.2%
Maize 1
0.2%
Mango 1
0.2%
Mango pickle 1
0.2%
Mangopickles 1
0.2%
Manufacturing 2
0.5%
Manure 1
0.2%
Masai shoes 1
0.2%
Masala drink 1
0.2%
Metakelfin 1
0.2%
Metals 1
0.2%
Milk 5
1.2%
Millet 4
1%
Mosquito net 1
0.2%
Mosquito nets 1
0.2%
Mushroom 1
0.2%
Neckles 1
0.2%
Noodles 1
0.2%
Nutrition 3
0.7%
Nutrition flour 2
0.5%
Nutrition flour from millet 1
0.2%
Nutritional flour 2
0.5%
Nutritious flour 6
1.5%
Oil 4
1%
Ornaments 1
0.2%
Other services 1
0.2%
Pea 1
0.2%
Perfume 1
0.2%
Piece of clothes 3
0.7%
Pigs 1
0.2%
Pilau spices 1
0.2%
Pillows 1
0.2%
Pork 1
0.2%
Poultry keeping 1
0.2%
Pub Ownership 1
0.2%
Radish products 3
0.7%
Retail shop 4
1%
Rice 7
1.7%
Rice masala 1
0.2%
Rosella 5
1.2%
Salt 1
0.2%
Sandals 1
0.2%
Selling drinks 3
0.7%
Selling electronic tools 1
0.2%
Selling flowers 2
0.5%
Selling human Medicine 1
0.2%
Selling juice 1
0.2%
Selling potatoes 1
0.2%
Shoes 1
0.2%
Soap 14
3.4%
Soap making 1
0.2%
Soda 11
2.7%
Sofa 1
0.2%
Soya 7
1.7%
Soya flour 1
0.2%
Sugar 3
0.7%
Sweater kniting 1
0.2%
T-shirt printing 1
0.2%
T-shirts 1
0.2%
Tablemats 1
0.2%
Tea 3
0.7%
Tea spices 5
1.2%
Teethpaste 1
0.2%
Tigo-pesa 1
0.2%
Timbers 1
0.2%
Ugali 1
0.2%
Vitenge 1
0.2%
Waist chain 1
0.2%
Water 9
2.2%
Wheat flour 1
0.2%
Whole meal flour 1
0.2%
Whole meal maize 1
0.2%
banana 1
0.2%
baobab oil 3
0.7%
batik 2
0.5%
battery 1
0.2%
bilimbi 2
0.5%
bites 1
0.2%
cards 1
0.2%
charcoal 1
0.2%
charge 1
0.2%
chicken 2
0.5%
chicken for egg 1
0.2%
chicken for meat 4
1%
chicken meat 1
0.2%
cooking oil 1
0.2%
cow 1
0.2%
decorating 1
0.2%
drinks 3
0.7%
eggs 2
0.5%
exercise books 1
0.2%
fishes 1
0.2%
flour 3
0.7%
flowers 1
0.2%
hair dressing services 1
0.2%
hair oil 1
0.2%
hall decorating 1
0.2%
hammork 1
0.2%
loincloth 1
0.2%
maize flour 1
0.2%
mangopick 2
0.5%
milk 2
0.5%
nutrition 6
1.5%
nutritious flour 1
0.2%
oil 2
0.5%
onions 1
0.2%
pea 1
0.2%
poultry keeping 1
0.2%
saop 1
0.2%
shoes 1
0.2%
soap 3
0.7%
soap making 1
0.2%
soda 1
0.2%
soya drink 1
0.2%
spray medicines for vegetable 1
0.2%
tailor 1
0.2%
tea spices 2
0.5%
vegetable 3
0.7%
vegetable seeds 1
0.2%
washing soap 1
0.2%
water 3
0.7%
wine 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.
Interviewer instructions
Enable if :current.ES3Q11_category=-96 or current.ES3Q11_product=-96
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