Maps
Somalia - Baseline Mobility Assessment: Number of Returnees from Abroad - Round 1 (June 2020)
public:///thumbs/637358044121217692.png
Sep 15 2020
/node/9703
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_returness_from_abroad.pdf?file=1&type=node&id=9703
9703
Somalia - Baseline Mobility Assessment: Summary of Total Inflows - Round 1 (June 2020)
public:///thumbs/637358047813832582.png
Sep 15 2020
/node/9702
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Inflows_Summary.pdf?file=1&type=node&id=9702
9702
Somalia - Baseline Mobility Assessment: Total Inflows - Round 1 (June 2020)
public:///thumbs/637358038771760193.png
Sep 15 2020
/node/9701
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Inflows.pdf?file=1&type=node&id=9701
9701
Somalia - Baseline Mobility Assessment: Number of IDPs - Round 1 (June 2020)
public:///thumbs/637358050170211391.png
Sep 15 2020
/node/9698
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_IDP.pdf?file=1&type=node&id=9698
9698
Somalia - Baseline Mobility Assessment: Summary of Total Population - Round 1 (June 2020)
public:///thumbs/637358048117741528.png
Sep 15 2020
/node/9697
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Current_Population_by_size_Summary.pdf?file=1&type=node&id=9697
9697
Somalia - Baseline Mobility Assessment: Total Population - Round 1 (June 2020)
public:///thumbs/637358016400163749.png
Sep 15 2020
/node/9695
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Current_Population_by_size.pdf?file=1&type=node&id=9695
9695
Somalia - Baseline Mobility Assessment: Summary of Accessibility of Settlement - Round 1 (June 2020)
public:///thumbs/637358048467275925.png
Sep 15 2020
/maps/somalia-baseline-mobility-assessment-summary-accessibility-settlement-round-1-june-2020
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Accessibility_Settlement_Summary.pdf?file=1&type=node&id=9688
9688
Somalia - Baseline Mobility Assessment: Accessibility of Settlement - Round 1 (June 2020)
public:///thumbs/637357754060080711.png
Sep 15 2020
/node/9687
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Accessibility_Settlement.pdf?file=1&type=node&id=9687
9687
Somalia - Baseline Mobility Assessment: Summary of Number Of Absentees - Round 1 (June 2020)
public:///thumbs/637358048847904470.png
Sep 15 2020
/node/9686
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Absentees_Summary.pdf?file=1&type=node&id=9686
9686
Somalia - Baseline Mobility Assessment: Number of Absentees - Round 1 (June 2020)
public:///thumbs/637357749363617608.png
Sep 15 2020
/maps/somalia-baseline-mobility-assessment-number-absentees-round-1-june-2020
https://migration.iom.int/system/tdf/maps/SOM_MT_B2_R1_Absentees..pdf?file=1&type=node&id=9685
9685
Lebanon — Foreign Nationals MSNA Analysis: Type of Assistance Received by Foreign Nationals (September 2020)
On 4th August 2020, a large explosion occurred at the port of Beirut, Lebanon that left more than 6,500 individuals injured and caused at least 180 deaths. To assess the impact of the explosion and the arising needs and vulnerabilities, the Lebanese Red Cross (LRC), in coordination with the Office for the Coordination of Humanitarian Affairs (OCHA), have conducted large multi-sectoral needs assessments (MSNA) across 11,008 households. To support these efforts as well as draw attention to the gap on the needs and vulnerabilities of foreign nationals that were affected by the explosion, IOM has undertaken a secondary data review of LRC’s data. This map uses the data of 1,896 foreign national households with migrant workers in Beirut to provide an overview on the type of assistance received by foreign nationals. For information on the Foreign Nationals Multi-Sector Needs Assessment Analysis Report, please visit: https://migration.iom.int/node/9637
public:///thumbs/637356880167250856.png
Sep 14 2020
/node/9677
https://migration.iom.int/system/tdf/maps/MSNA_ForeignNationals_TypeofAssistanceReceived_11092020.pdf?file=1&type=node&id=9677
9677
Lebanon —Foreign Nationals MSNA Analysis: Priority Needs Reported by Foreign Nationals (September 2020)
On 4th August 2020, a large explosion occurred at the port of Beirut, Lebanon that left more than 6,500 individuals injured and caused at least 180 deaths. To assess the impact of the explosion and the arising needs and vulnerabilities, the Lebanese Red Cross (LRC), in coordination with the Office for the Coordination of Humanitarian Affairs (OCHA), have conducted large multi-sectoral needs assessments (MSNA) across 11,008 households. To support these efforts as well as draw attention to the gap on the needs and vulnerabilities of foreign nationals that were affected by the explosion, IOM has undertaken a secondary data review of LRC’s data. This map uses the data of 1,896 foreign national households with migrant workers in Beirut to provide an overview on the priority needs.For information on the Foreign Nationals Multi-Sector Needs Assessment Analysis Report, please visit: https://migration.iom.int/node/9637
public:///thumbs/637356880315377184.png
Sep 14 2020
/maps/lebanon-%E2%80%94-multi-sectoral-needs-assessment-msna-analysis-priority-needs-reported-foreign
https://migration.iom.int/system/tdf/maps/MSNA_ForeignNationals_TopPriorityNeeds_11092020.pdf?file=1&type=node&id=9676
9676
Lebanon — Foreign Nationals MSNA Analysis: Population Overview (September 2020)
On 4th August 2020, a large explosion occurred at the port of Beirut, Lebanon that left more than 6,500 individuals injured and caused at least 180 deaths. To assess the impact of the explosion and the arising needs and vulnerabilities, the Lebanese Red Cross (LRC), in coordination with the Office for the Coordination of Humanitarian Affairs (OCHA), have conducted large multi-sectoral needs assessments (MSNA) across 11,008 households. To support these efforts as well as draw attention to the gap on the needs and vulnerabilities of foreign nationals that were affected by the explosion, IOM has undertaken a secondary data review of LRC’s data. This map uses the data of 1,896 foreign national households with migrant workers in Beirut to provide an overview on the nationalities of foreign nationals.For information on the Foreign Nationals Multi-Sector Needs Assessment Analysis Report, please visit: https://migration.iom.int/node/9637
public:///thumbs/637356880034437149.png
Sep 14 2020
/maps/lebanon-%E2%80%94-foreign-nationals-msna-population-overview-september-2020
https://migration.iom.int/system/tdf/maps/Population_nationalities_11_09.pdf?file=1&type=node&id=9671
9671
Lebanon — Foreign Nationals MSNA Analysis: Post-Incident Household Assistance (September 2020)
On 4th August 2020, a large explosion occurred at the port of Beirut, Lebanon that left more than 6,500 individuals injured and caused at least 180 deaths. To assess the impact of the explosion and the arising needs and vulnerabilities, the Lebanese Red Cross (LRC), in coordination with the Office for the Coordination of Humanitarian Affairs (OCHA), have conducted large multi-sectoral needs assessments (MSNA) across 11,008 households. To support these efforts as well as draw attention to the gap on the needs and vulnerabilities of foreign nationals that were affected by the explosion, IOM has undertaken a secondary data review of LRC’s data. This map uses the data of 1,896 foreign national households with migrant workers in Beirut to provide an overview on the post-incident household assistance. For information on the Foreign Nationals Multi-Sector Needs Assessment Analysis Report, please visit: https://migration.iom.int/node/9637
public:///thumbs/637356879891935952.png
Sep 14 2020
/maps/lebanon-%E2%80%94-foreign-nationals-msna-post-incident-household-assistance-september-2020
https://migration.iom.int/system/tdf/maps/FN_Received_aid_11_09.pdf?file=1&type=node&id=9669
9669
DTM COVID-19 Regional Atlas Point Operational Status As Of 28 August 2020
The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel, and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional, and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points, and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied, and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at the location level.
public:///thumbs/637352647660196892.png
Sep 09 2020
/maps/dtm-covid-19-regional-atlas-point-operational-status-28-august-2020
https://migration.iom.int/system/tdf/maps/DTM_COVID19_20200828_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=9647
9647
South Sudan - Wau County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637348095802182754.png
Sep 03 2020
/maps/south-sudan-wau-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Wau%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9580
9580
South Sudan - Torit County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347637431417291.png
Sep 03 2020
/maps/south-sudan-torit-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Torit%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9579
9579
South Sudan - Rubkona County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347636479533633.png
Sep 03 2020
/maps/south-sudan-rubkona-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Rubkona%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9578
9578
South Sudan - Malakal County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347634815650710.png
Sep 03 2020
/maps/south-sudan-malakal-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Malakal%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9577
9577
South Sudan - Magwi County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347634105800567.png
Sep 03 2020
/maps/south-sudan-magwi-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Magwi%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9576
9576
South Sudan - Bor South County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347633233131966.png
Sep 03 2020
/maps/south-sudan-bor-south-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Bor%20South%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9575
9575
South Sudan - Aweil Centre County_Village Assessment Survey_Facilities Infrastructure and Services
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
public:///thumbs/637347632321385712.png
Sep 03 2020
/maps/south-sudan-aweil-centre-countyvillage-assessment-surveyfacilities-infrastructure-and-services
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Aweil%20Centre%20County%20Village%20Assessment%20Survey_Facilities%20Infrastructure%20and%20Services.pdf?file=1&type=node&id=9574
9574
South Sudan — Unity State Flooding (August 2020)
Seasonal Floods Analysis in Unity State for 5, 11 and 12 August 2020
public:///thumbs/637357705234106012.png
Sep 03 2020
/maps/south-sudan-%E2%80%94-unity-state-flooding-august-2020
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Floods%20Unity.pdf?file=1&type=node&id=9572
9572
South Sudan — Jonglei State Flooding (August 2020)
Seasonal Floods Analysis in Jonglei State for12, 14 and 19 August 2020
public:///thumbs/637347393422024163.png
Sep 03 2020
/maps/south-sudan-%E2%80%94-jonglei-state-flooding-august-2020
https://migration.iom.int/system/tdf/maps/20200903%20IOM%20DTM%20SSD%20Floods%20Jonglei.pdf?file=1&type=node&id=9571
9571