Libya's Migrant Report

Libya's Migrant Report

DTM LIBYA MIGRANT REPORT DISPLACEMENT TRACKING MATRIX (DTM) MARCH 2017 MARCH – Libya’s Migrant Report DECEMBER DECEMBER Mobility Tracking: Round 8 Flow Monitoring: December 2016 - March 2017 1| P a g e DTM LIBYA MIGRANT REPORT About DTM Libya Co-funded by the European Unioni and the UK Department for International Development (DFID), the Displacement Tracking Matrix (DTM) in Libya tracks and monitors population movements in order to collate, analyze and share information packages on Libya’s populations on the move. MARCH 2017 MARCH DTM is designed to support the humanitarian community with demographic baselines needed to coordinate – evidence-based interventions. DTM’s Mobility Tracking package includes analytical reports, datasets, maps, interactive dashboards and websites on the numbers, demographics, locations of origin, displacement and movement patterns, and primary needs of mobile populations. For all DTM reports, datasets, static and interactive maps and interactive dashboard please visit www.globaldtm.info.libya DECEMBER DECEMBER Libya Reference Map 2| P a g e DTM LIBYA MIGRANT REPORT CHAPTER 1 - INTRODUCTION & KEY FINDINGS DTM is a suite of tools used to track and monitor Chapter 2 of the report presents DTM’s Mobility populations on the move at key points of origin, transit Tracking Methodology and DTM’s Flow Monitoring MARCH 2017 MARCH and destination. It provides a common narrative to Methodology. – complex situations for all actors. As a country of Chapter 3 of the report presents DTM’s Mobility destination and transit for migrant flows in the region, Tracking findings presenting a total baseline number of Libya is an important site for the study of regional flows migrants in Libya, the number of nationalities by to feed into a broader understanding of migratory muhallas and the conditions under which they reside. DECEMBER DECEMBER drivers and dynamics. The first set of data provides a broad overview of This report presents two sets of data from two different Libya’s migration dynamics and aims to establish how DTM operations. The first set of data originates from many migrants are currently in country, where migrants DTM’s round 8 Mobility Tracking (MT) data collection are located and what their primary vulnerabilities are. operations which took place between January to Chapter 4 of the report presents DTM’s Flow February 2017 delivering a country-wide static snapshot Monitoring findings based on 1,314 surveys conducted of Libya’s migrant population. Mobility Tracking data using random sampling at key migrant gathering points was collected formal of Libya’s 22 mintika, 100 across 9 different regions. The data presents an analysis baladiyas and 661 muhallas across Libya. Migrants were of migration drivers influencing surveyed migrants’ identified as residing in 22 mintika, 99 baladiya and 444 motivations to depart and their reasons for choosing muhalla. their destination. DTM’s Flow Monitoring operations The second set of data originates from DTM’s Flow look to deliver greater analysis on the data presented Monitoring (FM) operations from December 2016 to by its Mobility Tracking efforts by sampling a portion of March 2017. Collected during the same period as the mobile and visible migrant population to examine Mobility Tracking, Flow Monitoring presents a the main nationalities transiting through Libya, their cumulative dynamic quantitative analysis from a sample vocational attributes, intended destinations and routes of migrant-focused surveys in 9 regions in the country. they utilized to arrive to Libya. The report aims to present a comprehensive yet The purpose of this report is to present a digestible picture of Libya’s complicated migration comprehensive migration profile of Libya. It provides profile. DTM recognises that Libya’s migrant the total number of migrants identified in Libya, the populations are both in place and mobile with different total number migrants by muhalla, baladiya and populations residing in and/or transiting through the mantika and the quantitative breakdown of country for a multitude of reasons. By combining its nationalities of migrants present per location. different data collection operations DTM aims to deliver Additionally the report delivers a dynamic analysis into a comprehensive analysis that looks both at the number the origins, routes, intentions and characteristics of the and nationalities of migrants residing in country and of journey (cost, duration, mode of transport) of mobile those who are more mobile. migrants in Libya, along with the drivers of migration of specific sample of migrants. 3| P a g e DTM LIBYA MIGRANT REPORT MARCH 2017 MARCH – DECEMBER DECEMBER 4| P a g e DTM LIBYA MIGRANT REPORT CHAPTER 2 - DTM 2017 METHODOLOGY OVERVIEW DTM’s Mobility Tracking was initiated in the January Surveys gather information about migrant profiles, MARCH 2017 MARCH 2016. Based on a two-fold methodology, Mobility including age, sex, areas of origin, levels of education, – Tracking firstly identifies and routinely assesses at the key transit points on their route, cost of journey, municipality administrative geographical area (Baladiya) motives, and intentions. In contrast to the baseline where migrants reside and secondly to review this assessments, responses are analysed by nationality process at a lower administrative geographical location rather than being based on where the interviews were DECEMBER DECEMBER (Muhalla). IOM implements two different assessment conducted. Profile surveys are used to periodically forms for each of these administrative level referred to collect comprehensive information at monitoring points as the ‘B1f’ for Areas (Baladiyas) and ‘B2f’ for Locations to understand the general and humanitarian situation at (Muhalla). Each assessment is implemented separately monitoring points. from another with one capturing data at an aggregate IOM defines a migrant as any person who is moving or level (B1f) and the other used to triangulate and verify has moved across an international border or within a the data at a finer and more granulated level (B2f). The state away from his/her habitual place of residence, results of the location assessments (B2f) are used to regardless of (1) the person’s legal status; (2) whether verify the information collected at the area level (B1f). the movement is voluntary or involuntary; (3) what the The location assessments are carried out in all causes for the movement are; or (4) what the length of settlements identified as having migrants identified in the stay is. For DTM programmatic purposes in Libya, a the area assessments. migrant is considered any person present in Libya who DTM Libya’s Flow Monitoring module was initiated in does not possess Libyan nationality. July 2016. Two data collection methodologies are Accordingly, DTM does not differentiate between employed: statistical analysis tracking the number of migrant statuses, length of residence in the country, or migrants passing through key migrant crossing points in migratory intentions. It counts as migrants those who Libya on a daily basis, and regular surveys of a sample of may have come from refugee producing countries, along those migrants that obtain a more holistic picture of with long-term residents and labour migrants who their backgrounds, intentions, and demographic profiles. engage in a circular migration pattern between Libya The objective of Flow Monitoring is to track moving and their homes. flows of migrant groups and individuals through key points of origin, transit locations and points of For more details, please see DTM Libya’s 2017 destination. The data related to DTM’s Flow Monitoring Methodologies please refer DTM’s Flow Monitoring and component of this report is extracted from its profile Mobility Tracking methodologies at: surveys conducted with a sample of migrants. Profile www.globaldtm.info/libya 5| P a g e DTM LIBYA MIGRANT REPORT CHAPTER 3 - MOBILITY TRACKING: A BASELINE SNAPSHOT OF MIGRANTS Between January and February 2017 DTM Libya’s The rest of Libya’s migrant population was recorded as MARCH 2017 MARCH – Mobility Tracking identified 381,463 migrants* across being dispersed across all other regions as shown in Map all 22 mantikas in Libya. Migrants were identified in 99 1 on the following page. baladiyas and 444 muhallas. The main three regions For a full breakdown of the number of migrants by where migrants were recorded as present were Misrata nationality at each of Libya’s administrative levels DECEMBER DECEMBER (66,660 individuals), Tripoli (53,755 individuals) and (mantika, baladiya, muhalla) please consult the dataset Sebha (44,750 individuals). part of this information package (available at ww.globaldtm.info/libya). Migrant Demographics in Libya Out of the 381,463 migrants identified 96% were reported as adults and 4 % as minors. The majority of adult migrants were recorded as being male (87%) and the remaining 13% as female. Figure 1: Demographics of 381,463 migrants identified in Mobility Tracking Round 8 Migrant Nationalities in Country As presented in the introduction, DTM’s Mobility The distribution of nationalities within the country Tracking captures a country-wide baseline number of changes from one region to the other. The locality in migrants in country. During January to February which specific nationalities are found correlates with Mobility Tracking identified 38 different nationalities as the proximity of the countries of origin that migrants making up the total of 381,463 migrants residing in come from. For example a high proportion of Egyptians Libya. Egyptians were recorded as being the most were recorded as residing in Eastern Libya while a large prevalent nationality with 67,909 Egyptian migrants number of Nigeriens were identified as residing in the identified (18% of migrants), Niger was the second Southern regions of Libya. main country of origin with 66,483 individuals Map 2 on Page 8 shows the distribution of nationalities identified (17% of total number of migrants) and Chad by region. Only the main nationalities in each region was the third with 42,667 Chadian individuals identified are mentioned. DTM’s Mobility Tracking dataset (11% of migrants).

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