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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / UGA_2020_RIMA_V01_EN_M_V01_A_OCS / variable [F33]
Food-Security

Resilience Index Measurement and Analysis 2020

Uganda, 2020
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Reference ID
UGA_2020_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
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 12, 2022
Last modified
Jan 12, 2022
Page views
88760
Downloads
665
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • anon_module_a
  • anon_module_b
  • anon_module_c
  • anon_module_d
  • anon_module_e
  • anon_module_f
  • anon_module_g1
  • anon_module_g2
  • anon_module_h1
  • anon_module_h2
  • anon_module_h3
  • anon_module_j
  • anon_module_k2
  • anon_module_k3
  • anon_module_s
  • anon_module_w
  • anon_module_x
  • anon_module_k1

K18a. Specify other: (K_18c)

Data file: anon_module_k3

Overview

Valid: 28
Invalid: 0
Type: Discrete
Width: 80
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Cash assistance given is not enough to cater for expensive food 1
3.6%
Considered expensive for the household 1
3.6%
Considered expensive to afford with the little money they get 1
3.6%
During off season 1
3.6%
Expensive for the household 2
7.1%
Grown at household level 1
3.6%
It was in stock 1
3.6%
It was off season 1
3.6%
Less money to afford the cost 1
3.6%
Limited resources to afford 1
3.6%
Limited resources to afford it 1
3.6%
Little money available for expensive food 1
3.6%
Money received is not enough to cater for those considered expensive foodstuffs. 1
3.6%
No money to afford 1
3.6%
No money to afford it 2
7.1%
Not preferred food 1
3.6%
Produced at home 2
7.1%
Produced at household level 2
7.1%
The body swells after eating potatoes 1
3.6%
The household size is too big to afford what they considered expensive food 1
3.6%
They were available 3
10.7%
Very expensive for the household 1
3.6%
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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