Reports

The objective of the Emergency Tracking Tool (ETT) is to collect information on large and sudden population movements. Information is collected through key informant interviews or direct observation. This dashboard provides information on movements which took place in two sites of Lac Province, on 24 November 2020. On 24 November 2020, following floods caused by rising water levels of Lake Chad, 780 households (3,901 individuals) fled their villages for the sites of Djourougafi and Ngolio located in the sous-préfecture of Liwa (Fouli département). These two displacement sites, created in August 2020, already hosted respectively 3,190 and 450 IDPs prior to their arrival. According to the authorities, more than 15,000 households are threatened by floods in at least 60 sites and villages, within the sous-préfectures of Baga-Sola, Ngouboua and Liwa. 

Ce tableau de bord présente des informations sur les urgences au Burundi pour la période du 07 au 21 novembre 2020. La DTM a identifié 4,294 personnes  réparties dans 1,015 ménages, affectées, inclus 1,216 personnes déplacées réparties dans 285 ménages, par des vents violents et pluies torrentielles dans les provinces de Bubanza, Bujumbura Mairie, Cankuzo, Muyinga, Ngozi, Rumonge, Rutana et Ruyigi.  

A total of 1,102 movements were recorded, comprising 771 arrivals and 331 departures, between 16 and 22 November 2020. Arrivals were recorded at locations in Askira/Uba, Bama, Dikwa, Gwoza, Maiduguri Metropolitan Council, Mobbar, Monguno and Ngala Local Government Areas (LGAs) of the most-affected Nigerian State of Borno. Arrivals were also recorded in Fufore, Girei, Gombi, Lamurde, Madagali, Maiha, Michika, Mubi North, Mubi South, Numan, Song and Yola North LGAs of the state of Adamawa.   Departures were recorded in Askira/Uba and Kala/Balge LGAs of Borno; Girei, Gombi, Hong, Maiha, Mubi North, Numan, Song, Yola North and Yola South LGAs of Adamawa.   ETT assessments identified the following movement triggers: poor living conditions (44.3%), voluntary relocation (39.3%), improved security (7.3%), conflict/atack (6.5%) and military operations (2.6%).

The objective of this document is to provide the readers with a better understanding of how DTM can contribute to data gathering and analysis on human mobility in the context of environmental degradation, climate change and disasters, and help address relevant policy and operational questions. The paper formulates recommendations for DTM practitioners to improve tools and explore new analytical approaches to allow IOM to be at the forefront in this  field, that is and will be increasingly relevant for programme design and implementation, national governance, regional cooperation, and the achievement of global objectives related to climate change, migration and sustainable development. Through a critical analysis of current DTM practices and drawing lessons from previously undertaken data collection work, the paper assesses DTM current contributions, relevant challenges and opportunities for understanding human mobility in the context of environmental degradation, climate change and disasters. This introspective process serves to highlight opportunities to improve current tools and practices, as outlined in a set of targeted recommendations. Finally, this paper identifies possible options for more advanced analyses that could be carried out by taking into consideration external sources of data, such as publicly available meteorological, climatic and environmental databases, alongside information collected through DTM. The thematic paper thus seeks to assist practitioners in considering more consistently environmental factors in the context of population movements, and to apply an analytical lens focused on this intersection when interpreting data. For the purpose of this paper, DTM practices and MECC-specific studies ranging from 2014 to 2019 were analysed.

Le suivi des urgences a pour but de recueillir des informations sur les mouvements importants et soudains de populations. Les informations sont collectées à travers des entretiens avec des informateurs clés ou des observations directes. Ce tableau de bord présente des informations sur deux mouvements de personnes survenus le 24 novembre 2020 dans deux sites de la province du Lac.  Le 24 novembre 2020, suite à des inondations causées par la montée des eaux du lac Tchad, 780 ménages (3 901 individus) ont été contraints de quitter leurs villages pour se réfugier dans les sites de Djourougafi et Ngolio, situés dans la sous-préfecture de Liwa (département de Fouli). Ces deux sites de déplacement, créés au mois d’août 2020, accueillaient déjà respectivement 3 190 et 450 PDI avant l’arrivée de ces personnes. Par ailleurs, selon les autorités, plus de 15 000 ménages se trouvent sous la menace d’inondations, au sein d’au moins 60 sites et villages, dans les sous-préfectures de Baga-Sola, Ngouboua et Liwa. 

Como respuesta al huracán ETA y ahora a la IOTA en Honduras, la Unidad de Información de la OIM para el Norte de América Central está realizando encuestas DTM a informantes clave en refugios de tres municipios prioritarios de Honduras: San Pedro Sula, Villanueva y Choloma. Por tanto, este documento se trata de una serie de 109 reportes individuales donde se analizan en cada uno de ellos una evaluación de sitio. La información presentada en cada uno de estos reportes fue recolectada el 16 de noviembre de 2020. Se utilizó una modificación local del instrumento multisectorial de evaluación de sitios de la Matriz de Monitoreo de Desplazamiento (DTM) de OIM (https:// displacement.iom.int/). Esta herramienta implica información a partir de entrevistas a los encargados de cada sitio colectivo, así como la observación presencial de las instalaciones para identificar las necesidades prioritarias conforme a los estándares mínimos establecidos en las normas humanitarias del Manual Esfera (https://spherestandards.org/es/manual-2018).

From 25 July to 5 August 2020, IOM surveyed 164 Myanmar migrants in the Mueang Ranong district of Ranong province in order to better understand their situation and vulnerabilities following the outbreak of COVID-19 in Thailand. The survey focuses on six thematic areas: 1) Migrant profiles; 2) Drivers of migration; 3) Employment; 4) Impacts of COVID-19; 5) COVID-19 related vulnerabilities; and 6) Return intentions.

This joint study by the World Food Programme and the International Organization for Migration explores the impacts of COVID-19 and related containment measures on migrant workers, remittance-dependent households and the forcibly displaced. It assesses the implications of the pandemic for people’s mobility, food security and other livelihood outcomes in major migration and hunger hotspots around the world.

Ce rapport fournit un aperçu de la situation de déplacement et des besoins sectoriels dans les localités accueillant les populations mobiles en RCA, ayant effectué soit des mouvements de déplacement forcés, soit des mouvements de retour vers leurs zones d’origine. Les informations disponibles ne concernent les préfectures et localités évaluées entre juillet 2020 et août 2020 par l’Organisation internationale pour les migrations (OIM). Pour ce cycle de collecte, l’OIM a étendu sa zone de couverture à la préfecture de Mambéré-Kadéi, afin de prendre en compte dans ses analyses la zone Ouest du pays. Lors de ce round de suivi des mobilités, la DTM a identifié une population mobile globale de 1 534 911 individus, incluant 420 645 PDI (86 385 ménages), 798 604 (159 819 ménages) retournés internes (anciennes PDI) et 315 662 (64 074 ménages) retournés de l’étranger. Comparée aux chiffres des déplacements de janvier 2020, on observe une baisse générale de la population déplacée interne (-21%) au profit des mouvements de retour interne (+17%) et de retours depuis l’étranger. (+11%)  sur l’ensemble des localités couvertes par la collecte de données, 60 pour cent (1 039 localités) hébergent des PDI, 86 pour cent (1 471 localités) hébergent des ménages retournés internes, et 44 pour cent (763 localités) hébergent des ménages revenus de l’étranger  

The crisis in Nigeria’s North Central and North West zones, which involves long-standing tensions between ethnic and linguistic groups; attacks by criminal groups; and banditry/hirabah (such as kidnapping and grand larceny along major highways) led to fresh wave of population displacement.   Latest attacks affected 293 individuals, including 14 injuries and 16 fatalities, in Igabi, Zagon Kataf LGAs of Kaduna State, Jibia, Kankara LGAs of Katsina State and Maradun LGA of Zamfara State between the 16 - 22 November, 2020. The attacks caused people to flee to neighboring localities.   A rapid assessment was conducted by field staff to assess the impact on people and immediate needs.

IOM DTM in collaboration with the World Health Organization (WHO) and the state Ministry of Health have been conducting monitoring of individuals moving into Nigeria's conflict-affected northeastern states of Adamawa and Borno under pillar four (Points of entry) of COVID 19 preparedness and response planning guidelines.   During the period 14 - 20 November 2020, 446 movements were observed at Seven Points of Entries in Adamawa and Borno states. Of the total movements recorded, 147 were incoming from Diffa in Niger Republic, 119 from Extreme Nord and 4 from Nord in Cameroon.   A range of data was collected during the assessment to better inform on migrants’ nationalities, gender, reasons for moving, mode of transportation and timeline of movement as shown in Figures 1 to 4 below.

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 to 21 November 2020, IOM Yemen DTM estimates that 27,364 Households (164,184 Individuals) have experienced displacement at least once.                                                                                                           Since the beginning of 2020, DTM also identified other 1,315 previously displaced households who left the displaced location and moved to either their place of origin or some other displaced location.                                                                                                           Between 15 November 2020 and 21 November 2020, IOM Yemen DTM tracked 389 Households (2,334 individuals) displaced at least once. The highest number of displacements were seen in:                                                                                                           Marib (234 HH) – Raghwan (123 HH), Marib City (91 HH), Marib (20 HH) districts. All displacements in the governorate were internal. Taizz (74 HH) – Jabal Habashy (13 HH), Mawza (12 HH), Salh (12 HH) districts. Most displacements in the governorate originated from Taizz and Al Hudaydah. Al Hudaydah (45 HH) – Ad Durayhimi (45 HH) district. All displacements in the governorate were internal.                                                                                                           Most displacement resulted from increased conflict in the following governorates and districts. Marib (234 HH) – Raghwan (189 HH), Mahliyah (25 HH), Medghal (17 HH) districts. Al Hudaydah (58 HH) – Al Hawak (26 HH), Ad Durayhimi (18 HH), Al Hali (6 HH) districts. Taizz (42 HH) – Maqbanah (12 HH), Sabir Al Mawadim (7 HH), Jabal Habashy (5 HH) districts.