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    Home / Central Data Catalog / FAO / FAO_UGA_2017_RIMA_V01_EN_M_V01_A_OCS / variable [F16]
FAO

Resilience Index Measurement and Analysis 2017

Uganda, 2017
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Reference ID
FAO_UGA_2017_RIMA_v01_EN_M_v01_A_OCS
Producer(s)
Food and Agricultural Organization of the United Nations, Office of the Prime Minister of Uganda
Collections
The Food and Agriculture Microdata Catalogue (FAM)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 17, 2021
Last modified
Jun 17, 2021
Page views
88707
Downloads
458
  • Study Description
  • Data Dictionary
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  • Data files
  • anon_module_a
  • anon_module_b
  • anon_module_c
  • anon_module_d1
  • anon_module_d2
  • anon_module_e
  • anon_module_f
  • anon_module_g
  • anon_module_h1
  • anon_module_h2
  • anon_module_h3
  • anon_module_i
  • anon_module_j
  • anon_module_k
  • anon_module_l
  • anon_module_m
  • anon_module_n
  • anon_module_o
  • anon_module_p
  • anon_module_w

Type of enterprise operated (j1)

Data file: anon_module_j

Overview

Valid: 1327
Invalid: 1930
Type: Discrete
Decimal: 0
Width: 8
Range: 1 - 28
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Petty trader (hawking, grocery, airtime) 181
13.6%
2 Butchery 8
0.6%
3 Shop 76
5.7%
4 Clothing/Shoe Store 13
1%
5 Hardware Store 4
0.3%
6 Agricultural/Veterinary inputs Store 32
2.4%
7 Mill 9
0.7%
8 Mechanic/tyre repair 10
0.8%
9 Traditional healer/traditional birth attendants (midwifry) 3
0.2%
10 Bodaboda or taxi operator/transporter 75
5.7%
11 Hotel/food kiosk 59
4.4%
12 Electronics/phone repair 2
0.2%
13 Tailor/clothes repair 24
1.8%
14 Salon/Barber shop 15
1.1%
15 Making Bricks 22
1.7%
16 Construction/masonry 14
1.1%
17 Carpenter 16
1.2%
18 Crafts(basket making, weaving) 16
1.2%
19 Home Brewery 270
20.3%
20 Charcoal dealer 141
10.6%
21 Firewood dealer 81
6.1%
22 Miraa/ Khat seller 1
0.1%
23 Livestock trader 16
1.2%
24 Crop produce sellers 48
3.6%
25 Fish trader 65
4.9%
26 Pharmacist 3
0.2%
27 Community health Vets 0
0%
28 Other (specify) 123
9.3%
Sysmiss 1930
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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