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.

The dataset contains IDPs

The dataset contains IDPs numbers

The dataset contains number of IDPs!

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.

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.

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.

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. The dataset has multi sector services availability names, locations and the services available there.

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. The dataset has education facilities' names, locations and the services available there.

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. The dataset has health facilities' names, locations and the services available there.

The dataset has IDPs households and individuals with age and gender disaggregated data 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.

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

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.

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

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

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.

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.

The DTM Emergency Tracking activated on an ad hoc basis. Only Emergency situations which cause significant damage and require an immediate response or cause displacement taken into account.

Round III of DTM captured information on variables about the population of concern, disaggregated at the settlement level in Somalia

Drought displacement tracking for somalia

Following extreme violence in August 2017 in Rakhine State, Myanmar, an estimated 700,000 Rohingya refugees fled to Cox’s Bazar district, Bangladesh. Previous influxes were recorded in October 2016, when approximately 87,000 people crossed into Bangladesh, and other waves were registered during the previous decades. Most of the Rohingya refugees settled in Ukhyia 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 results of the NPM Round 17 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs. Information for this assessment was collected using Key Informant Interview methodology. Female key informants in 1906 locations and Male key informants in 1990 locations were interviewed face to face between the 18th December 2019 – 28th January 2020.

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