Libya — Detention Centre Profile Generator (November 2017)

This file contains Libya detention centre profiles for Al Kufra, Gharyan Al Hamra, Shahhat, Tajoura, Tobruk, Trig Al Seka, Azzawya Shuhada Al Nasr, Zwara, Abusliem, Azzawya Abu Issa, Sabratha Melita, Benghazi al Wafiah, Ejdabia, and Zliten. The displayed information concerns the detention centre, demographics and shelter, vulnerable populations, main nationalities present, and sectorial data (health, WASH, food, protection, site facility information, access to information and information sources).

Furthermore included are a full detention centre data set and map, a Migration Management Working Group map (4Ws), terms and definitions, methodology, enumerator guidelines and detention centre assessment form.

DTM Libya — Migrant Report Information Package 15 (October — November 2017)

In Round 15 DTM Libya’s Mobility Tracking identified 432,574 migrants across all 22 mantikas (regions) in Libya. Migrants were identified in 99 baladiyas and 531 muhallas. The three main regions where migrants were recorded as present were Tripoli (19%), Misrata (16%) and Almargeb (11%). More than 38 nationalities were identified among the migrants, with Niger (18%), Egypt (18%) and Chad (14%) being the most represented. 68% of migrants lived in self-paid rented accommodation.

DTM Libya Round 15 IDP & Returnee Report

In October and November 2017 DTM Libya interviewed 1,366 key informants across 100 Baladiyas and 657 Muhallas. A total of 192,762 IDPs were identified. The threat of violence from conflict and the presence of armed groups was the main driver of displacement for 93% of the displaced population. 89% of IDPs live in self-paid rental homes. In addition, a total of 316,971 returnees were identified. The shelter for 88% of returnees was their previous home.

 

DTM Libya — Baladiya Profile Generator (November 2017)

This is an interactive profile generator that displays snapshots of each of Libya’s 100 baladiyas gathered through DTM Libya’s Mobility Tracking assessments. Basic multi-sectorial data from the baladiya is presented in addition to data on IDPs, returnees and and migrants in the baladiya. To use the generator, select the desired baladiya from the dropdown list in cell E1 and the data in the form will automatically populate.

You can save each baladiya profile as a PDF by clicking on the “Export to PDF” button.

DTM Yemen — Migrant Flow Monitoring Report – July 2017

Flow Monitoring is an exercise through which DTM monitors trends of mobility into, out of, and within Yemen, in order to monitor the human mobility of other country nationals and better inform the humanitarian community and those responding. Between 1-31 July 2017, a total of 34,002 migrants were identified in the areas assessed, while 60,270 entries were identified between January 2017 and July 2017. From May to July, the number of migrants has been increasing consistently. The majority of the identified population were Ethiopian and Somali nationals. This is consistent with previous rounds of data collection. The majority of identified population was male. In July, 8% of the mobile population were unaccompanied minors. The identified population reported that food was the most pressing need. Shelter and housing were the second-most pressing need.

DTM Libya — Baladiya Profile Generator (November 2017)

This is an interactive profile generator that displays snapshots of each of Libya’s 100 baladiyas gathered through DTM Libya’s Mobility Tracking assessments. Basic multi-sectorial data from the baladiya is presented in addition to data on IDPs, returnees and and migrants in the baladiya. To use the generator, select the desired baladiya from the dropdown list in cell E1 and the data in the form will automatically populate.

You can save each baladiya profile as a PDF by clicking on the “Export to PDF” button.

DTM Libya — IDP and Returnee Information Package (Round 14)

In September and October 2017 DTM Libya interviewed 1,353 key informants across 100 Baladiyas and 657 Muhallas. A total of 199,091 IDPs were identified. The threat of violence from conflict and the presence of armed groups was the main driver of displacement for 93% of the displaced population. 89% of IDPs live in self-paid rental homes. In addition, a total of 304,305 returnees were identified. The main shelter for 92% of returnees was their previous home.

DTM Libya — Migrant Report Information Package 14 (September — October 2017)

In Round 14 DTM Libya’s Mobility Tracking identified 423,394 migrants across all 22 mantikas (regions) in Libya. Migrants were identified in 99 baladiyas and 525 muhallas. The three main regions where migrants were recorded as present were Tripoli (18%), Misrata (17%) and Almargeb (11%). More than 38 nationalities were identified among the migrants, with Niger (19%), Egypt (18%) and Chad (15%) being the most represented. 62% of migrants lived in self-paid rented accommodation.

Migration Flows in the Horn of Africa and the Arab Peninsula (June — August 2017)

The Regional Report details progress made through the project period (June — August 2017), identifying flow monitoring points across the region as well as movement trends to better understand migration flows between Ethiopia, Somalia, Djibouti and Yemen. Additionally, IOM has established a network of Migration Response Centers (MRCs) along irregular migration corridors in Ethiopia, Djibouti, Somaliland, and Puntland while supporting similar initiatives in Sudan and Yemen. The purpose of the program is to assist stranded migrants and to build the capacity of governments to respond to the challenges of mixed migration, while providing a better understanding of migrants’ intentions and needs.

DTM Libya — Baladiya Profile Generator (October 2017)

This is an interactive profile generator that displays snapshots of each of Libya’s 100 baladiyas gathered through DTM Libya’s Mobility Tracking assessments. Basic multi-sectorial data from the baladiya is presented in addition to data on IDPs, returnees and and migrants in the baladiya. To use the generator, select the desired baladiya from the dropdown list in cell E1 and the data in the form will automatically populate.

You can save each baladiya profile as a PDF by clicking on the “Export to PDF” button.