International Organization for Migration (IOM)

The dataset has displaced location of IDPs & households. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.

The dataset has return location of IDPs & families. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.

The dataset contains number of people displaced and returnees at village level in Kasai Central province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.

The dataset has displaced people at sub national level with cause of the displacement. IOM Madagascar is implementing its DTM program to better understand the movements of drought-affected populations and provide critical information to government and humanitarian actors on the subject.

Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in the Sofala province of Mozambique one of the provinces affected by the storm.

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

Since October 8 there has been an increase in cross-border incidents between Israel and Lebanon, resulting in the displacement of people both within the South and elsewhere within the country. Since October 10, the Displacement Tracking Matrix (DTM) has been conducting the daily monitoring of population movements. The objective of the exercise is to inform preparedness and response planning.

This is the 2021 multisector needs analysis data (MSNA) - a comprehensive household-level analysis covering all states in Sudan.

This is the 2022 multisector needs analysis data (MSNA) - a comprehensive household-level analysis covering all states in Sudan.

The data collection exercise conducted in the villages of Aru, Djugu, Irumu, Mahagi and Mambasa territories. It contains number of IDPs, returnees and theri needs.

The dataset contains number of people displaced and returnees at village level in North Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.

In April 2024, the Humanitarian Country Team (HCT) agreed on conducting a MSNA in Mozambique covering 9 provinces and 3 population groups (IDPs, returnees and host population), to provide valuable information on critical needs’ magnitude and severity, aiming to highlight gaps and priority areas of intervention for the humanitarian response in 2025. Multi-Sectoral Needs Assessment (MSNA) is a tool used by the humanitarian community to determine the nature and scale of a crisis and the needs of a given population in specific geographic locations through the collection of primary data. A MSNA supports evidence- based planning and decision-making during the Humanitarian Planning Cycle (HPC) and other strategic humanitarian processes.

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.

This survey was conducted by IOM DTM covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. IOM are currently carrying out mapping in Abyei AA, Central Equatoria – Kajo Keji, Yei, Morobo and Lainya and will update that dataset in late 2023. The dataset has education facilities' names, locations and the services available there.

The dataset contains IDPs, Returnees and host community at sub-national level.

This dataset is the result of Displacement Tracking Matrix (DTM) assessments carried out by the International Organization for Migration (IOM), aims to improve the understanding of the scope of return movements in north-east Nigeria.

This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment.

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.

The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements. The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin.

The dataset contains number of IDPs and Households at quartier level.

A village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and reintegration.

The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level.

The dataset contains IDPs, Returnees and Refugees at sub national level with information on IDPs in camps and host communities. IOM set up and rolled out the first round of the DTM in November 2015 with the objective of providing regular, accurate and updated information on displaced populations within the Far North region of Cameroon to better support the response of the Government of Cameroon and the humanitarian community.

The dataset contains IDPs, returnees at sub national level.

The Democratic Republic of the Congo (DRC) has a complex internal displacement situation with a diverse set of drivers and impacts. In the country’s eastern provinces, armed conflict and insecurity have long been the primary drivers of the large-scale protracted displacement that the region experiences. This has been compounded, since mid-2022, by a resurgence in armed group activity in the provinces of North Kivu and Ituri leading to internal unrest, regional instability, and widespread acute displacement. On top of the large-scale humanitarian crisis in the east of the country, other regions of the DRC have experienced conflict, insecurity, and disasters such as floods and landslides. A complete understanding of the displacement situation across the entire DRC is vital to inform both near-term humanitarian assistance, as well as engaging a wider array of stakeholders involved in long-term programming. The Displacement Tracking Matrix (DTM) is IOM’s system for collecting and analysing primary data concerning population movement and has been deployed over 90 humanitarian operations globally. DTM has conducted large-scale population mobility monitoring in the country’s eastern part since 2018.