Maps

DTM COVID-19 Regional Atlas Point Operational Status As Of 25 March 2021 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/637528090188432908.png Mar 31 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-25-march-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210325_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=11103 11103

Pakistan –Map - Type Of Settlement In Pakistan Of Undocumented Afghan Returnees (2019) This map provides information on the type of settlements in Pakistan of Undocumented Afghan returnees during the period between January 1 and 31 December 2019.  In 2019, a rented house was the most common type of settlement for undocumented returnees in Pakistan. However, the type of settlement differs according to the different districts. public:///thumbs/637527939079314871.png Mar 31 2021 /maps/pakistan-%E2%80%93map-type-settlement-pakistan-undocumented-afghan-returnees-2019 https://displacement.iom.int/system/tdf/maps/2019_PAK_FM_Type_of_Settlement.pdf?file=1&type=node&id=11098 11098

Pakistan – Map – Type of Settlement in Pakistan of Undocumented Afghan Returnees (2020) This map provides information on the type of settlements in Pakistan of Undocumented Afghan returnees during the period between January 1 and 31 December 2020.  In 2020, a rented house was the most common type of settlement for undocumented returnees in Pakistan. However, the type of settlement differs according to the different districts. public:///thumbs/637527916865710313.png Mar 31 2021 /maps/pakistan-%E2%80%93-map-%E2%80%93-type-settlement-pakistan-undocumented-afghan-returnees-2020 https://displacement.iom.int/system/tdf/maps/PAK_2020_FM_Type_of_Settlement.pdf?file=1&type=node&id=11097 11097

Pakistan – Map - Areas of Origin and Intended Destination of Undocumented Afghan Returnees (2020) This map provides information on the districts of origin in Pakistan and the intended provinces of destination in Afghanistan during the period between January 1 and 31 December 2020. The majority of undocumented Afghan returnees came from five districts in Pakistan: Killa Abdullah, Quetta, Karachi, Pishin and Peshawar. The main intended destination provinces in Afghanistan of undocumented returnees were Kandahar, Kunduz, Kabul, Nangarhar and Hilmand. public:///thumbs/637527915921767721.png Mar 31 2021 /maps/pakistan-%E2%80%93-map-areas-origin-and-intended-destination-undocumented-afghan-returnees-2020 https://displacement.iom.int/system/tdf/maps/PAK_2020_FM_Areas_of_Origin_and_Destination.pdf?file=1&type=node&id=11096 11096

DTM COVID-19 Regional Atlas Point Operational Status As Of 11 March 2021 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/637516157016156792.png Mar 17 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-11-march-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210311_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=11002 11002

DTM COVID-19 Regional Atlas Point Operational Status As Of 25 February 2021 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/637504499517674455.png Mar 04 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-25-february-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210225_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10891 10891

DTM COVID-19 Regional Atlas Point Operational Status As Of 11 February 2021 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/637493351342861799.png Feb 19 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-11-february-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210211_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10801 10801

South Sudan — Flow Monitoring Registry — Return and Relocation Flows (October – December 2020) This map shows a picture of return and relocation flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions. public:///thumbs/637485059367975692.png Feb 09 2021 /maps/south-sudan-%E2%80%94-flow-monitoring-registry-%E2%80%94-return-and-relocation-flows-october-%E2%80%93-december-2020 https://displacement.iom.int/system/tdf/maps/IOM%20DTM%20SSD%20Return%20Migration%20Network%20Map%20Oct-Dec%202020.pdf?file=1&type=node&id=10747 10747

South Sudan — Flow Monitoring Registry — Long / Medium Term Migration Flows (October – December 2020) This map shows a picture of long / medium term migration flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions. public:///thumbs/637485057517334409.png Feb 09 2021 /maps/south-sudan-%E2%80%94-flow-monitoring-registry-%E2%80%94-long-medium-term-migration-flows-october-%E2%80%93-december https://displacement.iom.int/system/tdf/maps/IOM%20DTM%20SSD%20Migration%20Flows%20Network%20Map%20Oct-Dec%202020.pdf?file=1&type=node&id=10746 10746

South Sudan — Flow Monitoring Registry — Mobility Network (October – December 2020) This map shows a picture of the human mobility network tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions. public:///thumbs/637485045427489369.png Feb 09 2021 /maps/south-sudan-%E2%80%94-flow-monitoring-registry-%E2%80%94-mobility-network-october-%E2%80%93-december-2020 https://displacement.iom.int/system/tdf/maps/IOM%20DTM%20SSD%20Mobility%20Network%20Map%20Oct-Dec%202020.pdf?file=1&type=node&id=10745 10745

South Sudan - Koch, Unity State Flood Analysis (September 2020) Seasonal Flood Analysis for Koch County in Unity State as of 28 and 29 December 2020. public:///thumbs/637484801150552236.png Feb 09 2021 /maps/south-sudan-koch-unity-state-flood-analysis-september-2020 https://displacement.iom.int/system/tdf/maps/SSD_Floods_Unity_20200929_Koch.pdf?file=1&type=node&id=10743 10743

South Sudan - Panyijar, Unity State Flood Analysis (September 2020) Seasonal Flood Analysis for Panyijar County in Unity State as of 29 September 2020. public:///thumbs/637484799765227542.png Feb 09 2021 /maps/south-sudan-panyijar-unity-state-flood-analysis-september-2020 https://displacement.iom.int/system/tdf/maps/SSD_Floods_Unity_20200929_Panyijiar.pdf?file=1&type=node&id=10742 10742

South Sudan - Ayod, Jonglei State Flood Analysis (September 2020) Seasonal Flood Analysis for Ayod County in Jonglei State as of 29 September 2020. public:///thumbs/637484798291583469.png Feb 09 2021 /maps/south-sudan-ayod-jonglei-state-flood-analysis-september-2020 https://displacement.iom.int/system/tdf/maps/SSD_Floods_Jonglei_20200929_Ayod.pdf?file=1&type=node&id=10741 10741

DTM COVID-19 Regional Atlas Point Operational Status As Of 28 January 2021 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/637480310643781209.png Feb 04 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-28-january-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210128_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10703 10703

South Sudan - Twic East, Jonglei State Flood Analysis (December 2020) Seasonal Flood Analysis for Twic East County in Jonglei State as of 28 December 2020. public:///thumbs/637475196151000944.png Jan 29 2021 /maps/south-sudan-twic-east-jonglei-state-flood-analysis-december-2020 https://displacement.iom.int/system/tdf/maps/20210129%20IOM%20DTM%20SSD%20Floods%20Jonglei%20Twic%20East%20December%202020_compr.pdf?file=1&type=node&id=10657 10657

DTM COVID-19 Regional Atlas Point Operational Status As Of 14 January 2021 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/637467685312000863.png Jan 20 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-14-january-2021 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20210114_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10557 10557

DTM COVID-19 Regional Atlas Point Operational Status As Of 31 December 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/637456096548188886.png Jan 07 2021 /maps/dtm-covid-19-regional-atlas-point-operational-status-31-december-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20201231_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10463 10463

DTM COVID-19 Regional Atlas Point Operational Status As Of 10 December 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/637438796425490040.png Dec 18 2020 /maps/dtm-covid-19-regional-atlas-point-operational-status-10-december-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20201210_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10383 10383

South Sudan - Tonj East County, Warrap State Flood Analysis (October 2020) Seasonal Flood Analysis for Tonj East County in Warrap State as of 29 October 2020. public:///thumbs/637436273847690391.png Dec 15 2020 /maps/south-sudan-tonj-east-county-warrap-state-flood-analysis-october-2020 https://displacement.iom.int/system/tdf/maps/20201214%20IOM%20DTM%20SSD_Floods_Warrap_Tonj%20East_0.pdf?file=1&type=node&id=10341 10341

South Sudan - Twic East County, Jonglei State, Flood Analyiss (October 2020 Seasonal Flood Analysis for Twic East County in Jonglei State as of 29 October 2020. public:///thumbs/637436274982306090.png Dec 15 2020 /maps/south-sudan-twic-east-county-jonglei-state-flood-analyiss-october-2020 https://displacement.iom.int/system/tdf/maps/20201214%20IOM%20DTM%20SSD_Floods_Jonglei_Twic%20East.pdf?file=1&type=node&id=10340 10340

South Sudan - Terekeka County, Central Equatoria State Flood Analysis (October 2020) Seasonal Flood Analysis for Terekeka County in Central Equatoria State as of 29 October 2020. public:///thumbs/637436165183546230.png Dec 15 2020 /maps/south-sudan-terekeka-county-central-equatoria-state-flood-analysis-october-2020 https://displacement.iom.int/system/tdf/maps/20201214%20IOM%20DTM%20SSD_Floods_Jonglei_Terekeka.pdf?file=1&type=node&id=10339 10339

Arrivals Of Displaced Individuals In Settlements Overview - Round 3 This map is representing an overview of arrivals of displaced indivials in settlements of Round 3.Round 3 data was received on 9 December 2020 as export of anonymized individual records from registration database with information on age, sex, shelter, region of origin in NK and current settlement location in ARM.Processed by DTM team (on 9 and 10 December 2020) of IOM in Mobility Tracking, baseline database where population values were summarized for all 593 settlement after location and name verification.Aggregated number for tabulation by settlement and region were generated from DTM database.First release of data is published on DTM website on 11 December 2020Detailed settlement dataset with geographic coordinates and settlement codes (from Armenia statistical office) connected to MS database settlement codes was generated. Geographic reference ArmeniaAdmin 1, source HDX: https://data.humdata.org/dataset/armenia-administrative-boundariesSettlement, source https://ace.aua.am/vector-database-armenia-file-overview/ public:///thumbs/637568549288114972.png Dec 11 2020 /maps/arrivals-displaced-individuals-settlements-overview-round-3 https://displacement.iom.int/system/tdf/maps/DTM_Armenia_A3_R03.pdf?file=1&type=node&id=10317 10317

Arrivals of Displaced Individuals In Settlements Overview - Round 2 This map is representing an overview of arrivals of displaced indivials in settlements of Round 2.Round 1 data from Migration Service, Government of Armenia was received on 17 November 2020 and Round 2 data on 30 November as export from registration database as aggregates on settlement level with population values by settlement name in Armenian language in 11 regional worksheets. Data was processed by DTM team of IOM in Mobility Tracking baseline database where population values were entered each and one individually for all settlements after location and name verification. The map representing the arrivals in settlements is available through the following link: https://displacement.iom.int/maps/arrivals-displaced-individuals-settlements Aggregated number for tabulation by region are generated from DTM database. Detailed settlement dataset with geographic coordinates and settlement codes (from Armenia statistical office) was generated. Geographic reference:Armenia Admin 1,source HDX: https://data.humdata.org/dataset/armenia-administrative-boundaries Settlement, source: https://ace.aua.am/vector-database-armenia-file-overview/ public:///thumbs/637425983223289792.png Dec 03 2020 /maps/arrivals-displaced-individuals-settlements-overview-round-2 https://displacement.iom.int/system/files/maps/DTM_Armenia_A3_R02_v2.pdf?file=1&type=node&id=10263 10263

DTM COVID-19 Regional Atlas Point Operational Status As Of 26 November 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/637425119984470814.png Dec 02 2020 /maps/dtm-covid-19-regional-atlas-point-operational-status-26-november-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20201126_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10252 10252