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

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

DTM location assessment is to collect data on population presence in defined locations identified through the baseline area assessment. The assessment identifies where people are living and informs targets sites for more detailed site assessments.

In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.

Data set has IDPs, Households, geographic locations and reasons of displacement etc. In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.

The dataset contains number of IDPs, Returnees and host communities and their needs at sub national level.

A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.

The dataset contains number of IDPs and returnees.

The dataset contains households and individual number of returnees at village level. The dataset is gender and age dis-aggregated with category of returnees i.e. IDPs or Refugees.

The dataset contains IDPs by state and year

This dataset contains IDPs, Returnees at sub admin level.

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

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 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.

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. The two datasets present the result of the NPM Round 16 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs from female key informants and majhee key informants during the months of 21st August – 10th October. Rohingya refugee population distribution by para in Teknaf upazila. Please click here

Topline figures dataset for IOM organisation page

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.

Large-scale flooding and landslides have been triggered in several districts across Nepal following heavy rainfalls in July 2020. From the onset of monsoon on 12 June until 25 July, 130 people lost their lives, 115 were injured and 51 went missing due to floods and landslides according to the National Disaster Risk Reduction and Management Authority.

Because of the Manaro Voui volcanic activity the entire island of Ambae was evacuated in July-August 2018. DTM is tracking a total of 11,339 displaced Ambaeans in 2,870 households across Sanma, Penama and Shefa provinces , which accounts for 97% of the pre-evacuation (2016) population. Estimated 3,750 Ambaeans have returned to Ambae by February 2019.

The dataset has IDPs households and individuals with age and gender disaggregated data at sub national 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 contains number of migrants in Libya at sub national level. The dataset also contains nationality of the migrants and their needs.

This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment. In the context of the political instability that has prevailed since the uprising in Libya (October 2011) and culminated in the collapse of a fragile central authority accompanied by fragmentation and infighting among myriads of militias, with continued fighting since the mid-2014 escalations, estimates indicate that the number of Internally Displaced Per-sons (IDPs) in Libya has exceeded 400,000 individuals, some eight percent of the total population (HNO, September 2015). While the country struggles to achieve and maintain stability, thousands of migrants are also taking journeys to and through Libya in a desperate bid to seek a better life in Europe. These migrants are exposed to risks of being trafficked and exploited while traveling through dangerous routes in deserts and territories controlled by different armed groups, as well as dying during attempts to cross the Mediterranean Sea. However, there has been no standardized mechanism in place to verify and regularly update IDP and migrant numbers. Given that most humanitarian and international organizations operate remotely from Tunis since mid-July 2014 due to the deteriorating security situation, maintaining access to reliable and updated data on the humanitarian situation in Libya has been challenging.