Cameroon

Data Grid Completeness
63%  36% 
12/19 Core Data 18 Datasets 12 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
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Affected People
3 Datasets
75%  25% 
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Needs
Coordination & Context
4 Datasets
75%  25% 
3w - Who is doing what where
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Not available
Climate Impact
Food Security & Nutrition
3 Datasets
66%  33% 
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
50%  50% 
Administrative Divisions
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Humanitarian OpenStreetMap Team (HOT)
Health & Education
2 Datasets
100% 
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2014-June 30, 2023 ... More
    Modified [?]: 1 March 2024
    Dataset Added on HDX [?]: 30 July 2020
    This dataset updates: Every six months
    This dataset is part of the data series [?]: UNHCR - Data on forcibly displaced populations and stateless persons
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • Time Period of the Dataset [?]: November 07, 2021-November 19, 2021 ... More
    Modified [?]: 11 July 2023
    Dataset Added on HDX [?]: 10 July 2022
    This dataset updates: Never
    UNHCR-WFP joint assessment mission (JAM) of Nigerian refugees in the Far North of Cameroon carried out between October 7 and 19, 2021. The objective of the assessment was to collect updated information on basic needs, shelter, food security, nutrition, water and sanitation, education, protection, security, common services, and livelihoods of Nigerian refugees to inform improved humanitarian assistance. This dataset contains data collected from samples of 607 out of approximately 10,000 households hosting 60,000 refugees in the Minawao settlement and 435 from close to 11,000 households hosting 57,000 refugees in host villages in surrounding border areas. The majority of the Nigerian Refugees in this Region fled violence and attacks perpetrated by Non-State Armed Groups (NSAGs) such as Boko-Haram in the Neighboring Nigeria since 2014. The report published in September 2022 reveals interesting findings such as the difference in dependency ratios between the refugees in camps and those living in the host population. Additionally, comparative analysis on indicators such as the Food Consumption Score (FCS) and the reduced Coping Strategy Index (rCSI) between the two (02) groups are conducted and yield some interesting findings.
  • Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More
    Modified [?]: 19 December 2022
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016. The household data is supplemented with UNHCRs progress data for the purpose of refining the targeting approach of both WFP and UNHCR.
  • Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More
    Modified [?]: 14 December 2022
    Dataset Added on HDX [?]: 14 December 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016. The household data is supplemented with UNHCRs progress data for the purpose of refining the targeting approach of both WFP and UNHCR.
  • Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More
    Modified [?]: 14 December 2022
    Dataset Added on HDX [?]: 14 December 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016.
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • 10+ Downloads
    Time Period of the Dataset [?]: August 04, 2021-September 28, 2021 ... More
    Modified [?]: 14 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    This dataset updates: Never
    Violent extremism carried out by the Boko Haram group in Nigeria and government measures to contain it have led to intense population movement and human suffering in the Lake Chad basin. Nigeria, Niger, Cameroon and Chad are particularly affected. Since 2014, the number of internally displaced persons (IDPs) in the Far North region of Cameroon has steadily increased due to attacks by armed groups, in particular Boko Haram and rival groups. The situation of IDPs is worrying for the authorities. In 2019, new waves of conflict and violence, associated with flooding, triggered more internal displacement. As of October 2021, the Far North region had 341,535 IDPs and 124,310 returnees (IOM DTM Round 22). In order to ensure the protection of IDPs in the three departments most affected in the Far North (Mayo-Sava, Mayo-Tsanaga et Logone-Et-Chari), a need was expressed by the different actors in the region and the authorities for credible detailed statistics on the IDP households and individuals that could be used for planning purposes. In this light, UNHCR supported the authorities in undertaking an IDP pilot profiling exercise between July and September 2021 in Mayo-Tsanaga. The profiling collected data on a number of topics that could be used to assess the needs of the IDP population and identify solutions, namely living conditions, food security, essential items and legal protection. The profiling was carried out by UNHCR and the Comité Mixte de Protection which composed mainly of public service agents in the department of Mayo-Tsanaga. The profiling covered 85,908 IDPs in 17,572 households in 201 sites and villages. These data are an anonymized sample of the original data, and include two tables from two questionnaires: one at the household level and one at the individuals household member level.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 19 May 2022
    Dataset Added on HDX [?]: 22 May 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: July 01, 2016-August 30, 2016 ... More
    Modified [?]: 12 May 2022
    Dataset Added on HDX [?]: 10 April 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes in the refugee populations. UNHCR in collaboration with the Ministry of Health and with technical support from UNICEF, WFP and WHO organized and conducted a SENS in Minawao, Mayo Tsanaga department in the Extreme North of Cameroon in July-August 2016. At the time of the survey, the camp was host to 57,367 refugees (15,389 households) from Nigeria. This was the first of its type since the camp opened in 2013. The survey includes five modules: children under five, food security, mosquito net, water and sanitation (WASH), children under five and women. See further details in the report.
  • Time Period of the Dataset [?]: August 02, 2016-September 25, 2016 ... More
    Modified [?]: 11 May 2022
    Dataset Added on HDX [?]: 10 April 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes in the refugee populations. UNHCR in collaboration with the Ministry of Health and with technical support from UNICEF, WFP and WHO organized and conducted a SENS of refugees from Central African Republic in the Est, Adamaoua and Nord regions of Cameroon in August and September 2016. More than 70% of refugees from Central African Republic were living outside of camps, an estimated 185,550 people at the time of the survey. The survey includes five modules: children under five, food security, mosquito net, water and sanitation (WASH) and women, children under five and women. See further details in the report.
  • Time Period of the Dataset [?]: December 05, 2020-December 22, 2021 ... More
    Modified [?]: 14 December 2021
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention
    UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of CBI recipients. Post-Distribution Monitoring (PDM) is a mechanism to collect feedback on the quality, sufficiency, utilization and effectiveness of assistance. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. This CBI PDM took place in the Est (Kadeï and Lom & Djerem) and Nord (Mayo Rey) regions of Cameroon in December 2020 following the cash intervention in mid-November 2020. More than 5,000 households were provided with cash with the objective of supporting basic needs and self-reliance. 400 beneficiary households were randomly sampled for the PDM.
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • Time Period of the Dataset [?]: May 06, 2020-May 20, 2020 ... More
    Modified [?]: 12 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    UNHCR in Cameroon in partnership with WFP organized a rapid assessment on the socioeconomic impact of COVID-19 on Central African refugees in the eastern part of the country. The objective of the assessment was to understand the socioeconomic impact on refugee households livelihoods and estimate their resilience capacity in the case of a lock down due to the pandemic. The study aimed to identify the economic activities undertaken by refugees in the area, identify which of these activities and related sectors was or could be most impacted and propose a response plan to respond to shocks and reinforce the resilience capacity. 275 people were interviewed over the phone to collect data for the assessment.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 02, 2020-June 26, 2020 ... More
    Modified [?]: 12 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    UNHCR in Cameroon organized an assessment on the socioeconomic impact of COVID-19 on refugees, IDPs and host communities in the Extreme North of Cameroon. The objective of the assessment was to evaluate the impact on the food security and livelihood situation in rural areas. 698 people were interviewed over the phone to collect household-level data for the exercise.
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016.