Virtual Business Incubator Impact Evaluation 2012
Tanzania, 2012
Get MicrodataCreated on
Jan 18, 2017
Last modified
Mar 29, 2019
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- 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
Product (es3q11_product)
Data file: products_anonymized
Overview
Valid:
905
Invalid:
1210
Type:
Discrete
Decimal:
0
Start:
11
End:
13
Width:
3
Range:
-
Format:
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
- Product/Service
Categories
| Value | Category |
|---|---|
| -98 | No Other Products |
| -96 | Other (Specify) |
| 1 | Pickles |
| 2 | Jams |
| 3 | Wine |
| 4 | Juices |
| 5 | Peanut butter |
| 6 | Packaged nuts |
| 7 | Candies |
| 8 | Butter |
| 9 | Cheese |
| 10 | Honey |
| 11 | Sugar |
| 12 | Fish-derived products |
| 13 | Meat-derived products |
| 14 | Eggs |
| 15 | Fish |
| 16 | Shrimp |
| 17 | Clams, oysters, and other shellfish |
| 18 | Meat – poultry |
| 19 | Meat –pork |
| 20 | Nuts |
| 21 | Legumes |
| 22 | Fresh fruits |
| 23 | Fresh vegetables |
| 24 | Meals in restaurant |
| 25 | Snacks in restaurant |
| 26 | Meals in market stall |
| 27 | Snacks in market stall |
| 28 | Meals or snacks on roadside |
| 29 | Meals or snacks for sale in retail outlet Catering for parties |
| 30 | Catering for offices |
| 31 | Other catering |
| 32 | Readymade dresses |
| 33 | Readymade shirts/blouses |
| 34 | Readymade skirts |
| 35 | Readymade pants |
| 36 | Tailor-made clothes |
| 37 | Scarves |
| 38 | Kikoy |
| 39 | Kanga cloth |
| 40 | Headwraps |
| 41 | Placemats |
| 42 | Napkins |
| 43 | Runners |
| 44 | Bedsheets |
| 45 | Pillow covers |
| 46 | Handkerchiefs |
| 47 | Floor mats |
| 48 | Shoes |
| 49 | Sandals |
| 50 | Woven baskets |
| 51 | Woven figurines |
| 52 | Woven vases |
| 53 | Woven bags |
| 54 | Clay baskets |
| 55 | Clay/ceramic figurines |
| 56 | Clay/ceramic vases |
| 57 | Beaded figurines |
| 58 | Beaded vases |
| 59 | Beaded jewelry |
| 60 | Cloth bags |
| 61 | Cloth wallet/coinpurses |
| 62 | Wooden trays |
| 63 | Wooden bowls |
| 64 | Wooden figurines |
| 65 | Wooden vases |
| 66 | Leather bags |
| 67 | Leather wallets/coin purses |
| 68 | Crushed stone |
| 69 | Metal sheets |
| 70 | Jewelry – Necklaces |
| 71 | Jewelry – Bracelets |
| 72 | Jewelry – Rings |
| 73 | Jewelry – Earrings |
| 74 | Groceries – vegetables |
| 75 | Groceries - fruits |
| 76 | Groceries – other unprepared food products |
| 77 | Groceries – prepared food (including drinks and canned products) |
| 78 | Groceries – toiletries |
| 79 | Pharmaceuticals |
| 80 | Stationary |
| 81 | Batteries |
| 82 | Appliances |
| 83 | Other small electronics |
| 84 | Artwork |
| 85 | Readymade clothes |
| 86 | Scarves |
| 87 | Kikoy |
| 88 | Kanga cloth |
| 89 | Headwraps |
| 90 | Other cloth products |
| 91 | Floor mats |
| 92 | Shoes |
| 93 | Sandals |
| 94 | Woven items |
| 95 | Clay items |
| 96 | Ceramic items |
| 97 | Bags or purses |
| 98 | Wooden items |
| 99 | Leather items |
| 100 | Leather |
| 101 | Jewelry |
| 102 | Hair care |
| 103 | Depilatory services |
| 104 | Facials/makeup |
| 105 | Manicures/pedicures |
| 106 | Massages |
| 107 | Paper |
| 108 | Recycling |
| 109 | Charcoal making |
| 110 | Candles |
| 111 | Herbal medicines |
| 112 | Specialty soaps |
| 113 | Specialty lotions |
| 114 | Specialty fragrance |
| 115 | Taxi/transport service |
| Sysmiss |
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 and current.ES3Q11_category is not null