Baseline Assessment

Since October 8 there has been an increase in cross-border incidents between Israel and Lebanon, resulting in the displacement of people both within the South and elsewhere within the country. Since October 10, the Displacement Tracking Matrix (DTM) has been conducting the daily monitoring of population movements. The objective of the exercise is to inform preparedness and response planning.

Internal Displacement Overview Atlas visualisation of internal displacement in the Democratic Republic of Congo.

Mobility Tracking Round 11 visualisation of internal displacement in the province of Tanganyika.

Mobility Tracking Round 12 visualisation of internal displacement in the province of South Kivu.

Mobility Tracking Round 11 visualisation of internal displacement in the province of North Kivu.

Mobility Tracking Round 11 visualisation of internal displacement in the province of Ituri.

This latest round of Emergency Trends Tracking was initiated in April 2024 to monitor displacements movements during the Gu rainy season. Districts covered in this round include Afgooye, Afmadow, Baardheere, Baidoa, Balcad, Belet Weyne, Belet Xaawo, Cabudwaaq, Dayniile, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hodan, Jamaame, Jowhar, Kahda, Kismaayo, and Luuq. ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises.

The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance. Based on previous shock induced displacement patterns, the humanitarian community expects that people will continue to move toward urban areas in search of humanitarian services. Consequently, the ETT coverage focuses on the main urban centers and surrounding villages for each assessed district. The data is collected through Key Informant Interviews (KIIs) at the location level, from Sunday to Wednesday every week. It includes information on new arrivals, numbers and demographic of IDPs, reasons for displacement, intentions, humanitarian assistance and priority needs among others.

To facilitate the joint analysis of the CCCM (Camp Coordination and Camp Management) Cluster’s New Arrivals Tracker (NAT) and ETT data, the assistance and needs indicators are identical in both tools.

This report presents the findings of the Migrant Presence Monitoring (MPM) data collection exercise conducted by IOM in Lebanon from May to July 2024, covering all districts. The MPM is an annual assessment that aims to determine the number of migrants present in different areas of Lebanon to support humanitarian assistance and planning efforts. To ensure accurate data, the MPM relies on key informants (KIs), such as representatives from migrant communities, local leaders (mukhtars), and municipal officials. This year, recruitment agencies were also included as KIs to enhance data reliability in their respective areas. The assessment focuses on small areas to gather detailed and precise information. It not only categorizes migrants by nationality, sex, and age but also considers their living situations, distinguishing between “live-in” and “live-out” migrants. Overall, the MPM provides valuable insights into the migrant population in Lebanon, contributing to informed decision-making and effective support for those in need.

The information from IOM-MPM's findings, complementary to data from past assessments, aims to enable partners across the international community and Lebanese partners to have access to an evidence base on migrant presence, to support well-informed, targeted, and coordinated response. The complementary evidence generated from the MPM exercise also serves as a baseline and tertiary source for triangulation for other data collection exercises. For example, MPM data was used to develop of a sampling frame of migrants for the Multi-Sectorial Needs Assessment (MSNA) 2021, 2022 and 2023 exercises led by the Humanitarian Country Team (HCT).

The MPM assessment follows the methodology of IOM’s global Displacement Tracking Matrix (DTM) Mobility Tracking component. Tailored to the operational context in Lebanon, the MPM assessment analyzes data to provide multi-layered information on the presence and mobility of migrants. This assessment aims to complement existing data collection exercises and it is implemented in coordination with key actors to maximize synergies, interoperability and avoid duplication.

This report reflects data corresponding to Sudan Mobility Update (6) dataset. The dataset is available here.

Overview: 
This report provides an overview of the total population of internally displaced persons (IDPs) in Sudan, including those displaced both before and after the onset of the conflict on 15 April 2023.   
 
Key Findings: 

• An estimated total of 10,763,116 IDPs were displaced to 8,842 locations, in 183 localities, across all 18 states in Sudan. 
• An estimated 7,987,783 individuals were displaced internally within Sudan since 15 April 2023.  
• An estimated 27 per cent of IDPs who were initially displaced prior to the onset of the current conflict experienced secondary displacement since 15 April 2023.  
• Approximately 2,316,538 individuals crossed borders into neighbouring countries since 15 April 2023.  
• The top states of origin among IDPs were Khartoum (34%), South Darfur (19%), and North Darfur (14%).   
• The states hosting the most IDPs were South Darfur (17%), North Darfur (15%) and Gedaref (9%).  
• Over half (52%) of IDPs were reportedly children under the age of 18-years-old.  

Annex 1 includes an operational matrix with a table of estimated IDPs per state, disaggregated by displacement before versus after 15 April 2023.  

Note: The number of IDPs displaced post 15 April 2023 (7,9987,783 IDPs) includes the estimated 1,045,439 IDPs who were initially displaced prior to 15 April 2023 and experienced secondary displacement since 15 April 2023. DTM Sudan defines an internally displaced person as any person who has been forced or obliged to flee from their habitual residence due to an event dating from 2003 onwards. 

Mobility Tracking and Multi Sectoral Location Assessment Data was collected in Wajir County between 1 and 19 November 2023. Key findings included:

• Drought was the main reported driver of displacement: 21% of sub locations reported that they had to travel more than 45 minutes by foot to access drinking water

• Key informants in 30 sub-locations reported they had no functional water sources

• Of the 20,500 assessed households in the county, 1,871 households were headed by children. Of these, 1,124 children (60%) were without relatives or community support and 309 (17%) children were without any support

• 90% of arrivals arrived at sub-locations which already struggled with the severe effects of drought, resource-based conflict, and ethnic clashes indicating that ‘arrivals’ had insufficient resources to travel to more distant, resource-rich environments and indicating a possible cycle of displacement as needs are not met in locations of displacement

• 89%of key informants reported the presence of pastoralist households. Yet two thirds of pastoralist households dropped pastoralism between

• six months to one year before data collection- at the peak of the drought period This indicates significant economic and cultural shifts for pastoralists 67%