Reports
DTM’s Rapid Displacement Tracking (RDT) tool collects and reports on numbers of households forced to flee on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. In the first eights months of 2020, conflict and natural disasters have resulted in new patterns of displacement, particularly in Marib, Al Hudaydah, Al Dhale'e, Taizz, and Al Jawf governorates. From 01 January 2020- 31 October 2020, IOM Yemen DTM estimates that 26,376 Households (158,256 Individuals) have experienced displacement, at least once. Since the beginning of 2020, DTM also identified other 1,284 previously displaced households who left the displaced location and moved to either their place of origin or some other displaced location. Between the 25 October 2020 and 31 October 2020, IOM Yemen DTM tracked 252 Households (1,512 individuals) displaced at least once, the highest number of displacements were seen in: Marib (186 HH) – Marib (76 HH), Marib City (40 HH), Sirwah (36 HH) districts. Most displacements in the governorate originated from Marib and Al Jawf. Taizz (65 HH) – Jabal Habashy (19 HH), Al Mukha (17 HH), Salh (7 HH) districts. Most displacements in the governorate originated from Taiz and Al Hudaydah. Al Dhale'e (1 HH) – Qa'atabah (1 HH) district. All displacements in the governorate were originated from Ibb. Most displacement resulted from increased conflict in the following governorates and districts. Marib (112 HH) – Medghal (38 HH), Rahabah (26 HH), Majzar (16 HH) districts. Al Jawf (55 HH) – Al Hazm (32 HH), Al Khalq (14 HH), Khabb wa ash Sha'af (9 HH) districts. Taizz (28 HH) – Maqbanah (8 HH), Salh (5 HH), Jabal Habashy (5 HH) districts.
This Middle East and North Africa (MENA) report summarizes mobility restrictions at airports, land, and blue border crossing points resulting from the mitigation measures implemented in response to the COVID-19 pandemic.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on health from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on education from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on WASH GBV risk from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on food security and livelihoods from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on WASH water access from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on WASH hygiene from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on shelter and non-food items from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time. This summary presents the main findings on protection from the multi-sectoral location assessment component of the eight round of Mobility Tracking in South Sudan, carried out in February - March 2020. The report also includes spatial analysis of the proximity of IDP and returnee settlements to ACLED-recorded conflict events.
The current outbreak of COVID-19 has affected global mobility in the form of various travel disruptions and restrictions. To better understand how COVID-19 affects global mobility, IOM has developed a global mobility database to map and gather data on the locations, status and different restrictions at Points of Entry (PoEs), globally (see migration.iom.int). In the East and Horn of Africa (EHoA) region, IOM’s Displacement Tracking Matrix (DTM) teams in nine of the ten countries covered by IOM Nairobi Regional Office1 are actively collecting information on various PoEs, internal transit locations, as well as other areas of interest in an effort to better understand the extent of these restrictions, as well as the impact on different types of population groups. This report is developed as a close collaboration between IOM’s divisions and units, in particular: DTM, Migration Health Division (MHD), Immigration and Border Management (IBM), and Migrant Protection and Assistance Division (MPA). Data is collected about the following locations: • Airports (currently or recently functioning airport with a designated International Air Transport Association -IATA- code) • Blue Border Crossing Points (international border crossing point on sea, river or lake) • Land Border Crossing Points (international border crossing point on land) • Internal Transit Points (internal transit point inside a given country, territory or area) • Areas of interest (region, town, city or sub-administrative unit in a given country, territory or area with specific restrictions) • Sites with a population of interest particularly affected by or at risk of COVID-19 (stranded, repatriated and returning migrants, IDPs, nationals, asylum-seekers and regular travellers)
A total of 971 movements were recorded, comprising 726 arrivals and 245 departures, between 19 and 25 October 2020. Arrivals were recorded at locations in Askira/Uba, Bama, Damboa, DIkwa, Gwoza, Mobbar, Monguno and Ngala Local Government Areas (LGAs) of the most-affected Nigerian State of Borno. Arrivals were also recorded in Girei, Gombi, Lamurde, Madagali, Maiha, Mayo Belwa, Michika, Mubi North, Mubi South, Numan, Song, Yola North and Yola South LGAs of the state of Adamawa. Departures were recorded in Askira/Uba and Kala/Balge LGA of Borno; Girei, Gombi, Madagali, Maiha, Mubi North, Mubi South, Numan, Song, Yola North and Yola South LGAs of Adamawa. ETT assessments identified the following movement triggers: voluntary relocation (44.0%), poor living conditions (30.4%), improved security (24.1%), and fear of attack (1.5%).