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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2011_BRIEL_V01_M / variable [F2]
impact_evaluation

Business Registration in Malawi Experimental Data and Replication Files 2011-2015

Malawi, 2011 - 2015
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Reference ID
MWI_2011_BRIEL_v01_M
DOI
https://doi.org/10.48529/gnk7-n020
Producer(s)
David McKenzie
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 27, 2018
Last modified
May 05, 2021
Page views
409623
Downloads
6188
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Training_ALL_anonymized
  • Baseline_Malawi_clean_September_2018_BS
  • First_followup_Malawi_clean_September_2018_F
  • Fourth_followup_Malawi_clean_September_2018_F4
  • reasons for
    people that did
    not take
    BRC_edited
  • Second_followup_Malawi_clean_September_2018_F2
  • strata_llw_&_bt
  • survey_completion
  • Third_followup_Malawi_clean_September_2018_F3
  • BRIE_finalpanel_Allfollowups_SEP2018

What were the top three products or services in total value of revenues in the p (s7q3a_1)

Data file: Baseline_Malawi_clean_September_2018_BS

Overview

Valid: 2957
Invalid: 45
Type: Discrete
Decimal: 0
Start: 2261
End: 2263
Width: 3
Range: -9 - 996
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Missing 0
0%
-8 Don't know 0
0%
-7 Notappl 0
0%
1 Jam 0
0%
2 Wine 1
0%
3 Juices 5
0.2%
4 Peanut 0
0%
5 Packaged nuts 0
0%
6 Candies 2
0.1%
7 Butter/Margarine 1
0%
8 Salt 21
0.7%
9 Honey 0
0%
10 Sugar 159
5.4%
11 Fish-derived products 9
0.3%
12 Meat-derived products 53
1.8%
13 Bread 20
0.7%
14 Cooking oil 99
3.3%
15 Snacks 44
1.5%
16 Other-food(specify) 13
0.4%
17 Eggs 27
0.9%
18 Fish 188
6.4%
19 Shrimp 0
0%
20 Meat-poutry 19
0.6%
21 Meat-pork 38
1.3%
22 Nuts 14
0.5%
23 Legumes 44
1.5%
24 Fresh fruits 46
1.6%
25 Fresh vegetables 150
5.1%
26 Other agriculture products(specify) 8
0.3%
27 Meals in restaurant 220
7.4%
28 Snacks in restaurant 4
0.1%
29 Meals or snacks on roadside 32
1.1%
30 Meals or snacks on roadside 16
0.5%
31 Catering for parties/ceremonies 0
0%
32 Other catering(specify) 2
0.1%
33 Ready-made clothes 79
2.7%
34 Tailor-made clothes 54
1.8%
35 Scarves 2
0.1%
36 Chitenjes 40
1.4%
37 Fabrics 0
0%
38 Head-wraps 6
0.2%
39 Place-mats 1
0%
40 Napkins/Handkerchiefs 0
0%
41 Runners 0
0%
42 Bed sheets/pillow 4
0.1%
43 Floor mats 1
0%
44 Repairs and alterations 28
0.9%
45 Shoes 43
1.5%
46 Sandals 3
0.1%
47 Other programmes(specify) 12
0.4%
48 Woven baskets 0
0%
49 Woven vases 0
0%
50 Woven bags 0
0%
51 Clay baskets 0
0%
52 Clay/ceremic figurines 0
0%
53 Clay/ceramic vases 0
0%
54 Beaded figurines 2
0.1%
55 Beaded vases 0
0%
56 Beaded jewelry 2
0.1%
57 Cloth bags 1
0%
58 Cloth wallet/coin purses 0
0%
59 Wooden trays 1
0%
60 Wooden bowls 0
0%
61 Wooden figurines 0
0%
62 Wooden vases 0
0%
63 Leather bags 1
0%
64 Leather wallets/coin purses 0
0%
65 Jewelry 5
0.2%
66 Other handcrafts(specify) 7
0.2%
67 Crushed stone/kwale 0
0%
68 Metal sheets 8
0.3%
69 Terrazzo 1
0%
70 Other mining and metal works(specify) 15
0.5%
71 Groceries/Toiletries 77
2.6%
72 Pharmaceuticals 0
0%
73 Stationary 5
0.2%
74 Candles 5
0.2%
75 Batteries 19
0.6%
76 Appliances 58
2%
77 Other small electronics 0
0%
78 Music(CD/DVDs) 33
1.1%
79 Artwork 0
0%
80 Ready-made clothes 48
1.6%
81 Scarves 1
0%
82 Chitenjes 5
0.2%
83 Head-wraps 4
0.1%
84 Other cloth products 4
0.1%
85 Floor mats 1
0%
86 Shoes 22
0.7%
87 Sandals 1
0%
88 Woven items 0
0%
89 Clay items 0
0%
90 Ceramic items 1
0%
91 Bags or purses 8
0.3%
92 Wooden items 13
0.4%
93 Leather items 0
0%
94 Jewelry 1
0%
95 Other retail(specify) 81
2.7%
96 Tables/chairs 37
1.3%
97 Beds 9
0.3%
98 Cup boards 7
0.2%
99 Book shelve 4
0.1%
100 Doors/Door-frames 17
0.6%
101 Windows 1
0%
102 Coffin 3
0.1%
103 Other furniture 0
0%
104 Fixing/maintainance 16
0.5%
105 Hair cut/shaving 32
1.1%
106 Plaiting(Braiding,Twisting,Weaving,Cornrows) 99
3.3%
107 Hair relaxing 34
1.1%
108 Permanent waving(wet look,leisure curl) 2
0.1%
109 Thermo styling (hot combing,pressing) 12
0.4%
110 Hair color 1
0%
111 Hair styling(Setting,Ironing,Tonging,Brushing) 10
0.3%
112 Facials/Make up 63
2.1%
113 Depilatory services 0
0%
114 Manicures/Pedicures 1
0%
115 Massages 0
0%
116 Other personal services(specify) 7
0.2%
117 Paper 32
1.1%
118 Recycling 0
0%
119 Charcoal making 17
0.6%
120 Candles 0
0%
121 Herbal medicines 2
0.1%
122 Natural Beauty Products 34
1.1%
123 Taxi/transport service 1
0%
124 Video showind 0
0%
125 Motor vehicle repair 32
1.1%
126 Motor vehicle 6
0.2%
127 Paints 22
0.7%
128 Plumbing 15
0.5%
129 Cleaning 0
0%
130 Soft drinks 90
3%
131 Beer 54
1.8%
132 Airtime 45
1.5%
133 Cement 9
0.3%
134 Cigarettes 40
1.4%
135 Cereals 115
3.9%
136 BASIN 5
0.2%
137 BLOOM 2
0.1%
138 COLD DRINKS 2
0.1%
139 DRINKS 10
0.3%
140 EMPTY SACKS 7
0.2%
141 MILLING 10
0.3%
142 MILK 7
0.2%
143 OIL 8
0.3%
144 PLASTIC BAG 29
1%
145 ANGLE IRON 0
0%
146 BULB HOLDER 0
0%
147 FLOUR 0
0%
148 FLOUR 0
0%
996 Other products & services(specify) 70
2.4%
Sysmiss 45
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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