This summary presents initial findings from Round 12 of Mobility Tracking conducted across South Sudan through key-informant assessments at payam and location-level in December 2021. Mobility Tracking estimates the presence of internally displaced persons (IDPs) and returnees in South Sudan in displacement sites and host communities. IOM DTM mapped a total of 2,229,657 (7% previously displaced abroad) and 1,924,368 returnees (33% from abroad) in 3,654 locations across South Sudan as of December 2021.

La región que comprende Centroamérica, Norteamérica y el Caribe se ha caracterizado por enfrentar grandes movimientos migratorios que surgen, fluyen a través de sus países y a la vez es el destino y punto de acogida de muchos de estos migrantes. Se estima que, al cierre del año 2021, al menos 130 000 personas migrantes ingresaron a Panamá por la ruta del Darién.

Durante el 2021 se han realizado actividades de DTM en 13 países de la Región, entre registros y encuestas de monitoreos de flujos migratorios, en 90 localidades fronterizos, así como encuestas para poblaciones residentes, migrantes retornados y personas desplazadas. Según las encuestas, los motivos más frecuentes de migración son la falta de oportunidades de trabajo, ingresos insuficientes, impacto del COVID-19 y la violencia. También se han presentado desplazamientos internos por sequía en Honduras y por el reciente terremoto en Haití. Las principales necesidades identificadas son: ingresos económicos o empleo, alimentación, acceso a servicios básicos, de salud y educación, asesoría legal. Las estadísticas generadas por los ejercicios de DTM muestran un alto número de movimientos transfronterizos, la mayoría de los cuales se han monitoreado entre la frontera de Haití y República Dominicana. Se nota también una gran cantidad de personas retornadas y un alto número de personas desplazadas internamente debido al efecto de desastres naturales.

From 1 January to 16 July 2022, IOM Yemen DTM tracked 7,134 households (HH) (42,804 Individuals) who experienced displacement at least once.

Between 10 and 16 July 2022, IOM Yemen DTM tracked 36 households (216 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

Marib (12 HHs) – Marib City (12 HHs) district. Most displacements in the governorate originated from Ibb and Sanaa.

• Taiz (10 HHs) – Al Misrakh (5 HHs), Al Mudhaffar (3 HHs), Jabal Habashi (2 HHs) districts.    Most displacements in the governorate were internal.
• Ad Dali (6 HHs) – Ad Dali (3 HHs), Qatabah (3 HHs) districts. Most displacements in the governorate originated from Ad Dali and Ibb.

The majority of people moved from the following governorates and districts:   

• Taiz (9 HHs) – Jabal Habashi (7 HHs), Salah (2 HHs) districts.
• Al Hodeidah (8 HHs) – Bayt Al Faqih (3 HHs), Hays (3 HHs), Al Hawak (1 HH(districts.
• Ibb (7 HHs) – Ibb (4 HHs), Far Al Odayn (1 HH), Al Qafr (1 HH) districts.

Between September and November 2021, the International Organization for Migration’s Displacement Tracking Matrix (IOM DTM) undertook its second household-level multi-sector assessment of selected urban areas and camps for internally displaced persons (IDPs) in South Sudan. The assessment aims to:

• Quantify the prevalence of vulnerabilities and humanitarian needs across sectors, with a focus on food security, economic vulnerability and nutrition as well as selected indicators on shelter and non-food items (SNFI), education, health, water, hygiene and sanitation (WASH), protection (including child protection and gender-based violence) and mental health and psycho-social support (MHPSS).

• Generate a better understanding of urban displacement and migration, including return and relocation after displacement in South Sudan or abroad.

This survey is part of the country-wide extended Food Security and Nutrition Monitoring System (FSNMS+) assessment in South Sudan, jointly conducted by IOM, the World Food Programme (WFP), the United Nations Children’s Fund (UNICEF), the Food and Agriculture Organization (FAO), the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), REACH and several humanitarian clusters. It was designed to be an independent, crisis-wide and coordinated inter-agency multi-sectoral needs assessment, mandated by the Humanitarian Country Team and endorsed by the InterCluster Coordination Group. Together, the joint findings provide an evidence-base for the Integrated Food Security Phase Classification, the Humanitarian Needs Overview and the Humanitarian Response Plan.

This report presents sectoral findings for Bentiu IDP Camp. Separate profiles have been published for Juba’s urban area and IDP Camps I and III, Wau’s urban area and Naivasha IDP camp, the urban area of Bentiu / Rubkona, Malakal’s urban area and Protection of Civilians (PoC) site and the urban areas of Bor and Yei.

The DTM Emergency Event Tracking (EET) is deployed to track sudden displacement and population movements, provide more frequent updates on the scale of displacement, and quantify the affected population when needed. As a subcomponent of the new Mobility Tracking methodology in Sudan (Round Four), and activated on a need basis, EET utilises a broad network of key informants to capture best estimates of the affected population presence per location – a useful tool for humanitarian response planning and design.

Between September and November 2021, the International Organization for Migration’s Displacement Tracking Matrix (IOM DTM) undertook its second household-level multi-sector assessment of selected urban areas and camps for internally displaced persons (IDPs) in South Sudan. The assessment aims to:

• Quantify the prevalence of vulnerabilities and humanitarian needs across sectors, with a focus on food security, economic vulnerability and nutrition as well as selected indicators on shelter and non-food items (SNFI), education, health, water, hygiene and sanitation (WASH), protection (including child protection and gender-based violence) and mental health and psycho-social support (MHPSS).
   
• Generate a better understanding of urban displacement and migration, including return and relocation after displacement in South Sudan or abroad.

This survey is part of the country-wide extended Food Security and Nutrition Monitoring System (FSNMS+) assessment in South Sudan, jointly conducted by IOM, the World Food Programme (WFP), the United Nations Children’s Fund (UNICEF), the Food and Agriculture Organization (FAO), the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), REACH and several humanitarian clusters. It was designed to be an independent, crisis-wide and coordinated inter-agency multi-sectoral needs assessment, mandated by the Humanitarian Country Team and endorsed by the InterCluster Coordination Group. Together, the joint findings provide an evidence-base for the Integrated Food Security Phase Classification, the Humanitarian Needs Overview and the Humanitarian Response Plan.

This report presents sectoral findings for Naivasha IDP Camp. Separate profiles have been published for Juba’s urban area, and IDP Camps I and III, Wau’s urban area, the urban area of Bentiu / Rubkona and Bentiu IDP camp, Malakal’s urban area and Protection of Civilians (PoC) site and the urban areas of Bor and Yei.

IOM Pakistan collects data on the outflows of undocumented Afghan migrants at the Torkham and Chaman border crossing points in an effort to better understand the migration movements of undocumented Afghan migrants returning to Afghanistan from Pakistan. This exercise is part of the European Union funded project “Displacement Tracking Matrix Regional Evidence for Migration Analysis and Policy (DTM REMAP)”.

From 02 to 15 July 2022, 1,478 undocumented Afghan migrants returned to Afghanistan from Pakistan, including 588 through the Torkham border point and 890 through the Chaman border point. During the reporting period, border authorities facilitated the return of 36 individuals due to the lack of legal documentation to remain in Pakistan. Therefore, information concerning these 36 individuals is not included in the report analysis.