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    Home / Food and Agriculture Microdata Catalogue / EMERGENCIES-MONITORING-SURVEYS / COD_2022_DEMHS-R4_V01_EN_M_V01_A_OCS / variable [F4]
Emergencies-Monitoring-Surveys

Data in Emergencies Monitoring Household Survey – Round 4, Democratic Republic of the Congo, 2022

Democratic Republic of the Congo, 2022
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Reference ID
COD_2022_DEMHS-R4_v01_EN_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub
Collections
Data in Emergencies Monitoring Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 30, 2023
Last modified
Oct 30, 2023
Page views
9421
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  • data_anon

Administrative level 2 - Name (adm2_name)

Data file: data_anon

Overview

Valid: 2767
Invalid: 0
Type: Discrete
Width: 15
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Ariwara 4
0.1%
Aru 85
3.1%
Bafwasende 3
0.1%
Banalia 26
0.9%
Baraka 12
0.4%
Basoko 45
1.6%
Beni 18
0.7%
Bosobolo 5
0.2%
Budjala 10
0.4%
Bukavu 124
4.5%
Bunia 50
1.8%
Businga 42
1.5%
Butembo 9
0.3%
Dekese 6
0.2%
Demba 12
0.4%
Dibaya 24
0.9%
Dimbelenge 22
0.8%
Djugu 71
2.6%
Feshi 41
1.5%
Fizi 20
0.7%
Gbadolite 89
3.2%
Gemena 119
4.3%
Goma 103
3.7%
Idjwi 6
0.2%
Ilebo 55
2%
Ingbokolo 1
0%
Irumu 29
1%
Isangi 48
1.7%
Kabalo 10
0.4%
Kabare 24
0.9%
Kabeya-Kamwanga 8
0.3%
Kahemba 56
2%
Kalehe 19
0.7%
Kalemie 87
3.1%
Kamonia 29
1%
Kananga 261
9.4%
Kasongo-Lunda 49
1.8%
Katanda 16
0.6%
Kazumba 14
0.5%
Kenge 97
3.5%
Kisangani 142
5.1%
Kongolo 12
0.4%
Kungu 12
0.4%
Libenge 31
1.1%
Lubero 12
0.4%
Luebo 20
0.7%
Luiza 20
0.7%
Lukalaba 22
0.8%
Lupatapata 12
0.4%
Mahagi 24
0.9%
Mambasa 7
0.3%
Manono 8
0.3%
Masisi 12
0.4%
Mbuji-Mayi 180
6.5%
Miabi 14
0.5%
Moba 15
0.5%
Mobayi-Mbongo 22
0.8%
Mweka 35
1.3%
Mwenga 6
0.2%
Nyiragongo 6
0.2%
Nyunzu 37
1.3%
Opala 11
0.4%
Popokabaka 26
0.9%
Rutshuru 12
0.4%
Shabunda 1
0%
Tshikapa 192
6.9%
Tshilenge 19
0.7%
Tshimbulu 2
0.1%
Ubundu 5
0.2%
Uvira 13
0.5%
Walikale 2
0.1%
Walungu 16
0.6%
Yahuma 7
0.3%
Yakoma 40
1.4%
Yangambi 3
0.1%
Zongo 20
0.7%
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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