DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.

DTM relies on its network of key informants and on secondary sources to provide a weekly assessment of mobility and COVID-19 preparedness at priority locations in South Sudan. On 24 March 2020, movement restrictions have been put in place by South Sudanese (SSD) Government and its neighbours. Some border points like Renk and Kaya are reported to be near completely blocked, whilst refugees have been allowed back into SSD through places like Nimule (neighbouring Uganda [UGA]), Pagak (Ethiopia [ETH]) and Jekow (ETH). Cargo has also been largely allowed to enter South Sudan with a maximum of three passengers in trucks.

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 IDPs, returnees at sub national level.

The dataset contains number of displaced persons by gender and age dis-aggregated. Dataset contains data on Covid-19, WASH, Shelter and other needs.

The dataset contains number of migrants in Libya at sub national level. The dataset also contains nationality of the migrants and their needs.

The current outbreak of COVID-19 has affected global mobility in the form of various travel disruptions, restrictions and blockages. To better understand how COVID-19 affects global mobility, the International Organization for Migration (IOM) has been working to map the impacts on human mobility, at Global, Regional and Country level. Using direct input from IOM missions, this dashboard displays updated mobility restrictions at location level (airport, land border points, sea border points, internal transit points). For each point of entry, data is collected on: type of restriction, measured applied & timeframe, population category that might be affected from the measures.

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.

IOM DTM’s Flow Monitoring Registry (FMR) surveys people’s movement through key transit points within South Sudan and at its borders.

This dataset contains IDPs, Returnees at sub admin level.

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.

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 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.

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.

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 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 current COVID 19 outbreak has affected global mobility in the form of various travel disruptions, restrictions and bans On 18 March 2020 the Government of Cameroon put in place a series of precautionary measures to contain the spread of the pandemic including the closure of the country’s land, air and sea borders, the suspension of visa issuance at the airports for all incoming travellers, the shutdown of all training and educational establishments and the banning of gatherings of more than fifty persons throughout its national territory In order to better understand how these restrictions are affecting mobility in the country.

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.

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.

COVID-19 Travel Restriction Monitoring - Using secondary data sources, such as the International Air Transport Association (IATA), media reports and information direct from IOM missions, this platform maps and analyzes the various country, territories and areas imposing restrictions, and those with restrictions being imposed upon them, all categorized by restriction type. All analyses is presented at country level.

The dataset contains number of IDPs, families and their needs at sub national level with site coordinates.

Topline figures dataset for IOM organisation page