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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
71403
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

Product (es3q11_product)

Data file: products_anonymized

Overview

Valid: 905
Invalid: 1210
Type: Discrete
Decimal: 0
Start: 11
End: 13
Width: 3
Range: -98 - 115
Format: Numeric

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
Categories
Value Category Cases
-98 No Other Products 0
0%
-96 Other (Specify) 187
20.7%
1 Pickles 25
2.8%
2 Jams 2
0.2%
3 Wine 8
0.9%
4 Juices 3
0.3%
5 Peanut butter 16
1.8%
6 Packaged nuts 2
0.2%
7 Candies 0
0%
8 Butter 0
0%
9 Cheese 1
0.1%
10 Honey 10
1.1%
11 Sugar 1
0.1%
12 Fish-derived products 1
0.1%
13 Meat-derived products 0
0%
14 Eggs 20
2.2%
15 Fish 9
1%
16 Shrimp 0
0%
17 Clams, oysters, and other shellfish 1
0.1%
18 Meat – poultry 64
7.1%
19 Meat –pork 3
0.3%
20 Nuts 0
0%
21 Legumes 1
0.1%
22 Fresh fruits 2
0.2%
23 Fresh vegetables 4
0.4%
24 Meals in restaurant 80
8.8%
25 Snacks in restaurant 26
2.9%
26 Meals in market stall 8
0.9%
27 Snacks in market stall 8
0.9%
28 Meals or snacks on roadside 13
1.4%
29 Meals or snacks for sale in retail outlet Catering for parties 6
0.7%
30 Catering for offices 3
0.3%
31 Other catering 25
2.8%
32 Readymade dresses 36
4%
33 Readymade shirts/blouses 10
1.1%
34 Readymade skirts 2
0.2%
35 Readymade pants 3
0.3%
36 Tailor-made clothes 107
11.8%
37 Scarves 1
0.1%
38 Kikoy 28
3.1%
39 Kanga cloth 1
0.1%
40 Headwraps 0
0%
41 Placemats 7
0.8%
42 Napkins 17
1.9%
43 Runners 10
1.1%
44 Bedsheets 17
1.9%
45 Pillow covers 12
1.3%
46 Handkerchiefs 0
0%
47 Floor mats 0
0%
48 Shoes 3
0.3%
49 Sandals 0
0%
50 Woven baskets 7
0.8%
51 Woven figurines 1
0.1%
52 Woven vases 0
0%
53 Woven bags 2
0.2%
54 Clay baskets 1
0.1%
55 Clay/ceramic figurines 0
0%
56 Clay/ceramic vases 1
0.1%
57 Beaded figurines 2
0.2%
58 Beaded vases 0
0%
59 Beaded jewelry 20
2.2%
60 Cloth bags 1
0.1%
61 Cloth wallet/coinpurses 2
0.2%
62 Wooden trays 1
0.1%
63 Wooden bowls 1
0.1%
64 Wooden figurines 20
2.2%
65 Wooden vases 0
0%
66 Leather bags 1
0.1%
67 Leather wallets/coin purses 0
0%
68 Crushed stone 0
0%
69 Metal sheets 0
0%
70 Jewelry – Necklaces 0
0%
71 Jewelry – Bracelets 0
0%
72 Jewelry – Rings 0
0%
73 Jewelry – Earrings 0
0%
74 Groceries – vegetables 4
0.4%
75 Groceries - fruits 1
0.1%
76 Groceries – other unprepared food products 9
1%
77 Groceries – prepared food (including drinks and canned products) 3
0.3%
78 Groceries – toiletries 0
0%
79 Pharmaceuticals 2
0.2%
80 Stationary 0
0%
81 Batteries 0
0%
82 Appliances 3
0.3%
83 Other small electronics 0
0%
84 Artwork 1
0.1%
85 Readymade clothes 0
0%
86 Scarves 0
0%
87 Kikoy 0
0%
88 Kanga cloth 0
0%
89 Headwraps 0
0%
90 Other cloth products 1
0.1%
91 Floor mats 0
0%
92 Shoes 2
0.2%
93 Sandals 0
0%
94 Woven items 0
0%
95 Clay items 0
0%
96 Ceramic items 0
0%
97 Bags or purses 2
0.2%
98 Wooden items 1
0.1%
99 Leather items 0
0%
100 Leather 0
0%
101 Jewelry 3
0.3%
102 Hair care 10
1.1%
103 Depilatory services 0
0%
104 Facials/makeup 1
0.1%
105 Manicures/pedicures 0
0%
106 Massages 0
0%
107 Paper 0
0%
108 Recycling 0
0%
109 Charcoal making 1
0.1%
110 Candles 1
0.1%
111 Herbal medicines 0
0%
112 Specialty soaps 14
1.5%
113 Specialty lotions 2
0.2%
114 Specialty fragrance 1
0.1%
115 Taxi/transport service 0
0%
Sysmiss 1210
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
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