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    Home / Food and Agriculture Microdata Catalogue / EMERGENCIES-MONITORING-SURVEYS / CMR_2022_DEMHS-R3_V01_EN_M_V01_A_OCS / variable [F3]
Emergencies-Monitoring-Surveys

Data in Emergencies Monitoring Household Survey – Round 3, Cameroon, 2022

Cameroon, 2022
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Reference ID
CMR_2022_DEMHS-R3_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
Jun 22, 2023
Last modified
Jun 22, 2023
Page views
8717
  • Study Description
  • Data Dictionary
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  • anon_dfCMR_R3

Administrative level 2 - Name (adm2_name)

Data file: anon_dfCMR_R3

Overview

Valid: 1435
Invalid: 0
Type: Discrete
Width: 15
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bamboutos 31
2.2%
Boumba-et-Ngoko 29
2%
Boyo 12
0.8%
Bui 19
1.3%
Bénoué 108
7.5%
Diamaré 37
2.6%
Djérem 52
3.6%
Donga-Mantung 29
2%
Fako 90
6.3%
Faro 20
1.4%
Faro-et-Déo 24
1.7%
Haut-Nkam 72
5%
Haut-Nyong 58
4%
Hauts-Plateaux 14
1%
Kadey 73
5.1%
Koung-Khi 5
0.3%
Kupe-Manenguba 14
1%
Lebialem 12
0.8%
Logone-et-Chari 42
2.9%
Lom-et-Djérem 46
3.2%
Manyu 21
1.5%
Mayo-Banyo 32
2.2%
Mayo-Danay 41
2.9%
Mayo-Kani 40
2.8%
Mayo-Louti 34
2.4%
Mayo-Rey 59
4.1%
Mayo-Sava 29
2%
Mayo-Tsanaga 45
3.1%
Mbéré 36
2.5%
Meme 40
2.8%
Menchum 21
1.5%
Menoua 27
1.9%
Mezam 45
3.1%
Mifi 26
1.8%
Momo 13
0.9%
Ndé 23
1.6%
Ngo-Ketunjia 32
2.2%
Noun 28
2%
Vina 56
3.9%
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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