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    Home / Food and Agriculture Microdata Catalogue / CMR_2023_DIEM-HS-R4_V01_EN_M_V01_A_ESS / variable [V2102]
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Data in Emergencies (DIEM) Monitoring Household Survey – Round 4, Cameroon, 2023

Cameroon, 2023
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Reference ID
CMR_2023_DIEM-HS-R4_v01_EN_M_v01_A_ESS
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
Study website
Created on
May 23, 2024
Last modified
May 23, 2024
Page views
11785
  • Study Description
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  • data_anon

Administrative level 2 - Name (adm2_name)

Data file: data_anon

Overview

Valid: 1456
Invalid: 0
Type: Discrete
Width: 15
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bamboutos 24
1.6%
Benoue 108
7.4%
Boumba-et-Ngoko 30
2.1%
Boyo 21
1.4%
Bui 18
1.2%
Diamare 50
3.4%
Djerem 48
3.3%
Donga-Mantung 31
2.1%
Fako 104
7.1%
Faro 19
1.3%
Faro-et-Deo 33
2.3%
Haut-Nkam 56
3.8%
Haut-Nyong 41
2.8%
Hauts-Plateaux 18
1.2%
Kadey 56
3.8%
Koung-Khi 2
0.1%
Kupe-Manenguba 24
1.6%
Lebialem 11
0.8%
Logone-et-Chari 51
3.5%
Lom-et-Djerem 73
5%
Manyu 30
2.1%
Mayo-Banyo 31
2.1%
Mayo-Danay 38
2.6%
Mayo-Kani 19
1.3%
Mayo-Louti 31
2.1%
Mayo-Rey 46
3.2%
Mayo-Sava 28
1.9%
Mayo-Tsanaga 35
2.4%
Mbere 26
1.8%
Meme 31
2.1%
Menchum 19
1.3%
Menoua 37
2.5%
Mezam 37
2.5%
Mifi 27
1.9%
Momo 32
2.2%
Nde 23
1.6%
Ndian 7
0.5%
Ngo-Ketunjia 44
3%
Noun 36
2.5%
Vina 61
4.2%
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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