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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / UGA_2019_RIMAACREI_V01_EN_M_V01_A_OCS / variable [F50]
Food-Security

Resilience Index Measurement and Analysis 2019acrei

Uganda, 2019
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Reference ID
UGA_2019_RIMAacrei_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
23545
Downloads
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  • 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_f1
  • anon_module_f2
  • anon_module_f4
  • anon_module_g
  • anon_module_h
  • anon_module_i
  • anon_module_j
  • anon_module_k
  • anon_module_l
  • anon_module_lx

Specify this other shock (j1_other)

Data file: anon_module_j

Overview

Valid: 122
Type: Discrete
Width: 126
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Accident on household member 1
0.8%
Alot of dry spell 1
0.8%
Banana prices go down 1
0.8%
Cattle straying 1
0.8%
Children have refused to eat posho daily When theyeat they suffer from stomach problems 1
0.8%
Coldness 1
0.8%
Crop rodents like rats 1
0.8%
Death of household member 3
2.5%
Fire wood 1
0.8%
Food and cooking oil were stolen 1
0.8%
Food shortage 1
0.8%
Hail storm 1
0.8%
Hailstorm destroyed her crops 1
0.8%
Heavy rain 1
0.8%
High temperature 1
0.8%
High temperatures 3
2.5%
Higher temperatures 1
0.8%
Home and stored produce was burnt 1
0.8%
Household member fell sick 1
0.8%
Household member was sick 1
0.8%
Illness of household member 5
4.1%
Illness of household member. Death of household member. 1
0.8%
Illness of household members 2
1.6%
Illness of income provider in the household 1
0.8%
Lack of customers for fish business 1
0.8%
Lack of food. 1
0.8%
Late rains 1
0.8%
Livestock theft 4
3.3%
Low agriculturaloutput 1
0.8%
Low food prices 3
2.5%
Low food prices and heavy rains 1
0.8%
Low output prices 1
0.8%
Low prices of goods 1
0.8%
Lower food prices 1
0.8%
Lower prices of foods affected the farmers 1
0.8%
Lower prices of the produce 1
0.8%
Never experienced any shocks since he came in the community. 1
0.8%
Poverty 2
1.6%
Predation 1
0.8%
Prices go down when selling 1
0.8%
Prices of banana go down 1
0.8%
Rains 2
1.6%
Rats damage the beans 1
0.8%
Serious illness of household member 1
0.8%
Serious illness of one of the family members 1
0.8%
Sickness of household head 1
0.8%
Sickness of household member 1
0.8%
Sickness of the household head 1
0.8%
Strong winds and rains which destroyed shelter in the settlement. 1
0.8%
Sunshine 1
0.8%
Sunshine and wind plus wild rats 1
0.8%
The distance to the distribution point to get their food ration, then eating one type of where they are prone to malnutrition. 1
0.8%
Theft 1
0.8%
Theft of farming tool 1
0.8%
Theft of food assistance 1
0.8%
Theft of household items 1
0.8%
They are being attacked by wild insects like scorpions 1
0.8%
Too mu h rains 1
0.8%
Too much rain 4
3.3%
Too much rain destroyed beans 1
0.8%
Too much rains destroyed crops,low food prices 1
0.8%
Too much rains which come with malaria and typhoid. 1
0.8%
Too much sunshine 2
1.6%
Too much sunshine and strong winds 1
0.8%
Very low food prices 1
0.8%
We never received rain on time 1
0.8%
animal theft 1
0.8%
conflicts sunshine 1
0.8%
conflicts and settling was not easy 1
0.8%
conflicts with congolese authorities on lake albert 1
0.8%
heavy rain 1
0.8%
heavy rain and too much sunshine 1
0.8%
heavy rain that affected plants of this household. 1
0.8%
heavy rainfall too much sunshine 1
0.8%
human diseases 1
0.8%
husband died in December 2018 1
0.8%
low food prices 3
2.5%
much rain 2
1.6%
much rainfall 2
1.6%
much rainfall and also too much sunshine 1
0.8%
much sunshine 4
3.3%
much sunshine and rainfall 2
1.6%
no firewood for coking food 1
0.8%
rampant animal theft especially cows 1
0.8%
running water 1
0.8%
theft 1
0.8%
too much rains 1
0.8%
too much sunshine 5
4.1%
too much sunshine and rainfall 2
1.6%
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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