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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / UGA_2020_RIMA_V01_EN_M_V01_A_OCS / variable [F19]
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
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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_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

Specify other livelihood: (a16other)

Data file: anon_module_a

Overview

Valid: 505
Type: Discrete
Width: 168
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Aid from ADRA 1
0.2%
Assistance from NGOs 1
0.2%
Assistance from Wfp 1
0.2%
Assistance from charity organisations and digging for nationals for food 1
0.2%
Assistance or relief aid 1
0.2%
Bakery bussiness 1
0.2%
Bar attendant 1
0.2%
Bar business 1
0.2%
Barber shop business 1
0.2%
Bicycle and motorcycle repairer 1
0.2%
Bicycle repair shop 1
0.2%
Black smith 1
0.2%
Block leader 1
0.2%
Boda Boda Rider 1
0.2%
Boda boda 1
0.2%
Boda boda rider 2
0.4%
Boda bodq 1
0.2%
Bodaboda Rider 1
0.2%
Bodaboda rider 1
0.2%
Brewing 3
0.6%
Brewing Alcohol 1
0.2%
Brewing alcohol 4
0.8%
Brick maker 1
0.2%
Builder 2
0.4%
Building 1
0.2%
Business 1
0.2%
Business that is to say shop 1
0.2%
Businessman 1
0.2%
Bussiness 1
0.2%
Bussiness man in hardware 1
0.2%
Care taker 1
0.2%
Carpenter 2
0.4%
Carpentry 2
0.4%
Cash Assistance 38
7.5%
Cash Assistance from UNHCR 1
0.2%
Cash for work 1
0.2%
Cash from UNHCR 1
0.2%
Cash rations under -Relief/Humanitarian assistance 1
0.2%
Casual 1
0.2%
Casual labourer 2
0.4%
Casual Employment 1
0.2%
Casual Labour 1
0.2%
Casual employment 14
2.8%
Casual employment in peoples garden 1
0.2%
Casual labour 21
4.2%
Casual labour in brick making with ADRA 1
0.2%
Casual labourer 19
3.8%
Casual labouring 1
0.2%
Casual work 3
0.6%
Casual worker 5
1%
Causal employment 1
0.2%
Causal labour 1
0.2%
Charcoal burning 4
0.8%
Charcoal dealing 1
0.2%
Charcoal selling 1
0.2%
Church leader 2
0.4%
Cook 1
0.2%
Cousel labour provider in gardens 1
0.2%
Cyclist 1
0.2%
Depeend on cash Assistance 1
0.2%
Depend entirely on Ratio 1
0.2%
Depend mainly on Food relief from UN agencies 1
0.2%
Depend mostly on relief food aid 1
0.2%
Depend on cash Assistance 1
0.2%
Depend on cash asistance from world food program 1
0.2%
Depend on cash assistance 17
3.4%
Depend on cash assistance from world food program 1
0.2%
Depend on funds from UN 1
0.2%
Depend on refugee Aid 1
0.2%
Depend on the food of UNHCR 1
0.2%
Dependant to un 1
0.2%
Depende on cash assistance 1
0.2%
Dependent on relief aid 2
0.4%
Depending on the informal Assistance from southern Sudan 1
0.2%
Depending on un aid 1
0.2%
Depends mainly on food relief from UN agencies 6
1.2%
Depends mainly on food relief from UN agencies . 1
0.2%
Depends mainly on food relief from UN agencies because it's enough land for crops growing. 1
0.2%
Depends mainly on food relief from UN agencies. 2
0.4%
Depends on UN handouts 1
0.2%
Depends on donors 1
0.2%
Depends on food relief from UN agencies 1
0.2%
Depends on help from the United Nations 1
0.2%
Depends on relief aid 1
0.2%
Depends on relief food only from UN agencies 1
0.2%
Depends on relief food support only 1
0.2%
Depends on the organisation 1
0.2%
Depends only on food relief from UN agencies 1
0.2%
Do casual work for the Nationals 1
0.2%
Does nothing but always supported 1
0.2%
Donation from WFP 1
0.2%
Driver 1
0.2%
Driver of taxi 1
0.2%
Elderly funds 1
0.2%
Farming 1
0.2%
Firewood dealing 1
0.2%
Firewood seller 1
0.2%
Food Aid 7
1.4%
Food Ratio 1
0.2%
Food aid 2
0.4%
Food assistance 3
0.6%
Food relief from UN agencies 1
0.2%
Food relief from UN agencies 3
0.6%
Funds from UN 4
0.8%
Funds from the UN 2
0.4%
Getting food from the ADRA 1
0.2%
Goat trading 1
0.2%
Has no livelihood in the house hold 1
0.2%
Has no main livelihood. Household survives on food ratio donated. 1
0.2%
He has no source of livelihood 1
0.2%
Home brewery 1
0.2%
Home brewing 2
0.4%
Informal Assistance 1
0.2%
Interpretor 1
0.2%
Keeps goats about 7 in number 1
0.2%
Local brewers make and seller 1
0.2%
Local brewing 1
0.2%
Mainly dependent on relief aid 1
0.2%
Mainly dependent on relief aids. 1
0.2%
Making mats 1
0.2%
Mechanics 1
0.2%
Money from UN 1
0.2%
Money from UNHCR and WFP 1
0.2%
Monthly cash rations for Humanitarian assistance 1
0.2%
Monthly cash rations for Relief/Humanitarian assistance 1
0.2%
Monthly cash rations-Humanitarian assistance 1
0.2%
Monthly cash rations-Relief /Humanitarian assistance 1
0.2%
Montly cash rations -Relief/Humanitarian assistance 1
0.2%
Mostly depnds on aid 1
0.2%
Mothly cash rations for Relief/Humanitarian assistance 1
0.2%
NGO assistance is the main livelihood 1
0.2%
NGOs 1
0.2%
Neating 1
0.2%
No activity 1
0.2%
No any economic activity because she is sick and old 1
0.2%
No economic activity 1
0.2%
No job 1
0.2%
No land for cultivation. 1
0.2%
No land for growing 1
0.2%
No livelihood 2
0.4%
No livelihood. 1
0.2%
No source of livehood 1
0.2%
No source of livelihood 2
0.4%
No source of livelihood. Dependant on family 1
0.2%
No source of livlihood. Depends entirely on food aid 1
0.2%
Non 1
0.2%
None 43
8.5%
None she is athematic 1
0.2%
Northing. Un able to work 1
0.2%
Not applicable 1
0.2%
Not doing any economic activity because of old age and the other member has a heart complication while others are too young and she also does not have land to cultivate 1
0.2%
Nothing 30
5.9%
Only waits for relief funds 1
0.2%
Organisation 1
0.2%
Pastor 2
0.4%
Petty business 1
0.2%
Quarring of stones 1
0.2%
Quarrying 2
0.4%
Qurrying 1
0.2%
Ration 1
0.2%
Receive Relief Aid for Livelihood 1
0.2%
Receive funds from UN 1
0.2%
Relied on food aid give by WFP and assistance rendered by family members from south sudan 1
0.2%
Relief /Humanitarian Assistance 1
0.2%
Relief /Humanitarian assistance 2
0.4%
Relief Aid 1
0.2%
Relief aid 1
0.2%
Relief aid from UN 1
0.2%
Relief assistance 2
0.4%
Relief assistence 1
0.2%
Relief food 7
1.4%
Relief funds from UN 8
1.6%
Relief funds from UN. 2
0.4%
Relief-Monthly cash rations 1
0.2%
Relief/ Humanitarian assistance 2
0.4%
Relief/Humanitarian assistance 6
1.2%
Relies on Aid 1
0.2%
Remittance 23
4.6%
Rent from his agricultural land 1
0.2%
Retail shop business 1
0.2%
Riding motor cycle 1
0.2%
Rock Quarrying 1
0.2%
Rock quarrying and charchol burning 1
0.2%
Saloon attendant 1
0.2%
Seated at home 8
1.6%
Selling a shop 1
0.2%
Selling a shop and silver fish 1
0.2%
Selling charcoal and firewood 1
0.2%
Selling eggs and bread 1
0.2%
Selling fire wood and charcoal 1
0.2%
Selling food staff 1
0.2%
Selling palm oil and silver fish 1
0.2%
Selling ratio food 1
0.2%
Selling tomatoes 1
0.2%
She depends on the food ratio that they get fully. 1
0.2%
She does nothing 1
0.2%
She is old so gets help from the daughter. 1
0.2%
She only relies on food aid provided 1
0.2%
She used to dig but she got an accident implying that she is not able to dig again. 1
0.2%
Stone quarrying 1
0.2%
Stone quarry 1
0.2%
Stone quarrying 4
0.8%
Student 5
1%
Survive on what UN gives to the people 1
0.2%
Tailor 1
0.2%
Tailoring 2
0.4%
Tailoring trainer 1
0.2%
Teacher 2
0.4%
Technician 1
0.2%
The house hold wait for food ratio from NGO'S 1
0.2%
The respondate claims he does nothing for livelihood 1
0.2%
There is no activity done by the household 1
0.2%
They depend on Donations 1
0.2%
They do nothing, no land, no casual trade. 1
0.2%
They have no garden 1
0.2%
Traditional healer 1
0.2%
Truck Driving 1
0.2%
UN funds 2
0.4%
UNCHR 1
0.2%
Very old lady only lives on the remittances from the sons 1
0.2%
Working for the non refugees 1
0.2%
Works as pastor 1
0.2%
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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