Lebanon - Baseline Assessment Round 3

This report presents the findings of the Migrant Presence Monitoring (MPM) data collection exercise conducted by IOM in Lebanon from April to June 2023, 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.