The dataset contains IDPs individuals and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation.
The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
The dataset includes returnees from abroad who are still displaced in the country. They are categorized as IDPs due to their continued displacement within the country.
The dataset contains numbers of internally displaced individuals and returnees at admin 2 level (Territories) in North Kivu province.
Since November 2021, attacks by the former rebel group M 23 have resumed and increased against the congolese armed forces (FARDC) in the east of the DRC. These clashes have further intensified since March 2022, due to which the M23 seized in June 2022 the town of Bunagana located on the border with Uganda, as well as other neighboring localities in the regions of Jomba, Bweza, Kisigari and Busanza in Rutshuru territory. At the end of October 2022, the M23 extended their hold after several offensives, expanding their control over the entire Bwisha chiefdom including the territorial capital and the town of Kiwanja, with alleged plans to extend over the entire territory
This dataset shows settlement-based catchment areas in Democratic Republic of the Congo with information on total population disaggregated by sex and age and number of buildings.
This dataset shows settlement-based catchment areas in Zambia with information on total population disaggregated by sex and age and number of buildings.
Afghanistan administrative levels 0 (country), and 1 (province) population statistics.
REFERENCE YEAR: 2021 estimates based on 2017 study conducted by Flowminder/UNFPA.
Dataset updated by OCHA in 2021.
The gazetteer is compatible with the Afghanistan - Subnational Administrative Boundaries gazetteer. (COD-AB boundaries are unavailable.)
Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities since 2014.
What is included in Missing Migrants Project data?
Missing Migrants Project counts migrants who have died at the external borders of states, or in the process of migration towards an international destination, regardless of their legal status. The Project records only those migrants who die during their journey to a country different from their country of residence.
Missing Migrants Project data include the deaths of migrants who die in transportation accidents, shipwrecks, violent attacks, or due to medical complications during their journeys. It also includes the number of corpses found at border crossings that are categorized as the bodies of migrants, on the basis of belongings and/or the characteristics of the death. For instance, a death of an unidentified person might be included if the decedent is found without any identifying documentation in an area known to be on a migration route. Deaths during migration may also be identified based on the cause of death, especially if is related to trafficking, smuggling, or means of travel such as on top of a train, in the back of a cargo truck, as a stowaway on a plane, in unseaworthy boats, or crossing a border fence. While the location and cause of death can provide strong evidence that an unidentified decedent should be included in Missing Migrants Project data, this should always be evaluated in conjunction with migration history and trends.
What is excluded?
The count excludes deaths that occur in immigration detention facilities or after deportation to a migrant’s homeland, as well as deaths more loosely connected with migrants´ irregular status, such as those resulting from labour exploitation. Migrants who die or go missing after they are established in a new home are also not included in the data, so deaths in refugee camps or housing are excluded. The deaths of internally displaced persons who die within their country of origin are also excluded. There remains a significant gap in knowledge and data on such deaths. Data and knowledge of the risks and vulnerabilities faced by migrants in destination countries, including death, should not be neglected, but rather tracked as a distinct category.
The COD Services API is a companion to the HDX API, which focuses on COD, theme organization, metadata, gazetteer output and lookup functionality. For instance, an external application may access the API to search for a place for humanitarian context work and show administrative units or population statistics based on UN OCHA FIS and UN FPA sources.
COD Services API - Usage and Documentation
https://apps.itos.uga.edu/CODV2API
IOM Ukraine's Frontline Population Baseline Assessment provides population estimates, with sex, age and disability disaggregation, as well as primary humanitarian needs, for selected settlements within 25 km of the frontline. With each biweekly round of data collection, additional settlements are assessed to provide a baseline for humanitarian scenario-planning and prepositioning of humanitarian assistance.
IOM Ukraine also conducts continuous flow monitoring to provide data on displacement from selected settlements undergoing evacuation to provide humanitarian partners with data on the direction and scale of movements. The settlements assessed in the flow monitoring assessment are selected based on the presence of official evacuation orders, population size, and past observed displacement flows.
The current dataset contains population baseline estimated for 552 settlements and flow monitoring information from 105 settlements pertaining to the on-going evacuations between 16-31 May in Sumska, Kharkivska, Donetska, and Khersonska Oblasts.
This dataset shows settlement-based catchment areas in Madagascar with information on total population disaggregated by sex and age and number of buildings.
This dataset shows settlement-based catchment areas in Ethiopia with information on total population disaggregated by sex and age and number of buildings.
This dataset shows settlement-based catchment areas in Sierra Leone with information on total population disaggregated by sex and age and number of buildings.
This dataset shows settlement-based catchment areas in Côte d'Ivoire with information on total population disaggregated by sex and age and number of buildings.
The dataset contains information on the number of refugees, asylum seekers and other population of concern in Niger, disaggregated at both Admin 2 and Admin 3 levels.
This dataset shows settlement-based catchment areas in Malawi with information on total population disaggregated by sex and age and number of buildings.
This dataset shows settlement-based catchment areas in Rwanda with information on total population disaggregated by sex and age and number of buildings.
The Global Internal Displacement Database (GIDD) presents a global dataset compiling the main metrics reported by IDMC from 2008 to 2023.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
"New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
Contains data from IDMC's Global Internal Displacement Database.
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
The dataset contains IDPs by state and year.
For information on displacement due to the current conflict in Sudan, please refer to this specific dataset.
Niger administrative level 0-3 sex disaggregated 2023 population statistics
REFERENCE YEAR: 2023
These CSV tables are suitable for database or GIS linkage to the Niger - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE fields.
NOTE The COD-AB live geoservices will be updated to be compatible in January 2024.
The 2022 reference year version is provided for reference.
This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment.
Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
The increase of security incidents in northern Mozambique since 2017 resulted in population displacement as well as subsequent humanitarian needs in virtually every humanitarian sector. To better understand the scope of displacement and needs of displaced populations, and in light of the intensification of the situation, the International Organization for Migration (IOM) activated its Displacement Tracking Matrix (DTM) in the Cabo Delgado province in February 2019.