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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / UGA_2020_RIMA_V01_EN_M_V01_A_OCS / variable [F27]
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
96621
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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: (h2_2other)

Data file: anon_module_h1

Overview

Valid: 170
Invalid: 0
Type: Discrete
Width: 63
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
A trainer was from another savings group. 1
0.6%
ACODE 1
0.6%
ADRA 3
1.8%
ARC 1
0.6%
Africa human rights association 1
0.6%
Africa women rising organisation 1
0.6%
African Women Rising 1
0.6%
Alight 1
0.6%
Alliance with communities for rural engagement 1
0.6%
Atepio Mother support group 1
0.6%
Cant remember 1
0.6%
Care International 2
1.2%
Chesier services uganda 1
0.6%
Chesire uganda 1
0.6%
DDO 1
0.6%
DRC 2
1.2%
DRC-Danish Refuguee Council. 1
0.6%
Dan Church Aid 1
0.6%
Danish Refugee council 1
0.6%
District headquters 1
0.6%
Doctor deep 1
0.6%
Doesn't remember the name of the organisation 2
1.2%
Doesnt recall 1
0.6%
Doesnt remember name of the institution that conducted training 1
0.6%
Don't remember 1
0.6%
Dr Deep 1
0.6%
FIN church aid 1
0.6%
FRC 1
0.6%
FRC finish refugees council 1
0.6%
Finn Church 1
0.6%
From their church 1
0.6%
GIZ 3
1.8%
GSI 1
0.6%
Giz 1
0.6%
Global m 1
0.6%
Good neighbour 1
0.6%
Government 1
0.6%
HAADS humanitarian environment services 1
0.6%
HADS 2
1.2%
HADS ( Humantarian development Assistant services). 1
0.6%
HI 1
0.6%
Hhhg 1
0.6%
ILO 1
0.6%
IOM 1
0.6%
IRC 5
2.9%
International Rescure Committee 1
0.6%
JAM 1
0.6%
JRS 1
0.6%
Jujumbu Saving group 1
0.6%
KOTEYA 1
0.6%
KRC 2
1.2%
Kologi serving group 1
0.6%
LWF 1
0.6%
Likido savings Group 1
0.6%
Local Government 1
0.6%
MRF Real Medical Foundation 1
0.6%
Madanga women's saving Group 1
0.6%
Madi and West Nile Diocese Arua 1
0.6%
Malteser 1
0.6%
Manya akabi 1
0.6%
Mascops 1
0.6%
Medical Teams International 1
0.6%
NAADS 2
1.2%
NADS 1
0.6%
NRC 1
0.6%
NSAMIZI 2
1.2%
NURI 23
13.5%
NURI DANIDA 2
1.2%
NURI Danida 1
0.6%
NUSAF 3 2
1.2%
NUSAF3 1
0.6%
Organised by local leaders 1
0.6%
Our chairman 1
0.6%
Presidential initiative on youth development 1
0.6%
RMF.Real Medicine Foundation 1
0.6%
Red Cross 1
0.6%
Red cross 1
0.6%
Refugee Association Development (RAD) 1
0.6%
Refugee law project 1
0.6%
Respondent only remembers that it was a UN entity 1
0.6%
SEFA AFRICA 1
0.6%
Samaritan purse international relief 1
0.6%
Savings Group Atek ki lwak 1
0.6%
Savings group 1
0.6%
Seed Effect 1
0.6%
Seed effect Organisation 1
0.6%
Seed effects 1
0.6%
She forgot the name of the organisation 1
0.6%
TPO 2
1.2%
The community church 1
0.6%
The training was from the district 1
0.6%
Trained by a friend. 1
0.6%
UN 2
1.2%
UNHCR 1
0.6%
Uganda Red Society 1
0.6%
Uganda Redcross society 1
0.6%
Umoja salama group 1
0.6%
VHT village health team 1
0.6%
Village Saving Loan Association 1
0.6%
Village Savings and loans group 1
0.6%
Village based saving group 1
0.6%
Village sacco 1
0.6%
Village savings and loans association 3
1.8%
Village savings and loans associations 5
2.9%
Village savings group 1
0.6%
Visionfund 1
0.6%
WFP 3
1.8%
WHITAKER 1
0.6%
Water Mission Uganda 1
0.6%
Water trust 1
0.6%
Waytaker 1
0.6%
Wealth hunger 2
1.2%
Welt Hunger 1
0.6%
Welt hunger 1
0.6%
Welter Hunger heif 1
0.6%
Wet hunger 2
1.2%
Windle trust 1
0.6%
Worl food programe 1
0.6%
ZOA 1
0.6%
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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