Maps
South Sudan — Mobility Tracking Round 9 People awareness of the COVID-19 pandemic in the payam (July-September 2020)
public:///thumbs/637547809746874956.png
Apr 23 2021
/maps/south-sudan-%E2%80%94-mobility-tracking-round-9-people-awareness-covid-19-pandemic-payam-july-september
https://migration.iom.int/system/tdf/maps/1-People%20aware%20in%20the%20payam.pdf?file=1&type=node&id=11309
11309
South Sudan — Mobility Tracking Round 9 Communal Clashes (September 2020)
public:///thumbs/637547797063156709.png
Apr 23 2021
/maps/south-sudan-%E2%80%94-mobility-tracking-round-9-communal-clashes-september-2020
https://migration.iom.int/system/tdf/maps/MT_R_IDPs_reason_County_COMMUNAL%20CLASHES_2014-2020_A4.pdf?file=1&type=node&id=11308
11308
South Sudan — Mobility Tracking Round 9 Conflict (September 2020)
public:///thumbs/637547796738568016.png
Apr 23 2021
/maps/south-sudan-%E2%80%94-mobility-tracking-round-9-conflict-september-2020
https://migration.iom.int/system/tdf/maps/MT_R_IDPs_reason_County_CONFLICT_2014-2020_A4.pdf?file=1&type=node&id=11307
11307
South Sudan — Mobility Tracking Round 9 Natural Disaster (September 2020)
public:///thumbs/637547795089315969.png
Apr 23 2021
/maps/south-sudan-%E2%80%94-mobility-tracking-round-9-natural-disaster-september-2020
https://migration.iom.int/system/tdf/maps/MT_R_IDPs_reason_County_DISASTER_2014-2020_A4.pdf?file=1&type=node&id=11306
11306
South Sudan - Mobility Tracking Round 9 IDP Location comparison between March and September 2020
public:///thumbs/637547790061163216.png
Apr 23 2021
/maps/south-sudan-mobility-tracking-round-9-idp-location-comparison-between-march-and-september-2020
https://migration.iom.int/system/tdf/maps/MT_R9_IDPs_locations_comparisson_R9-R8_V2.pdf?file=1&type=node&id=11305
11305
Mobility Tracking Round 9 returnee location comparison between March and September 2020
public:///thumbs/637547789222244511.png
Apr 23 2021
/maps/mobility-tracking-round-9-returnee-location-comparison-between-march-and-september-2020
https://migration.iom.int/system/tdf/maps/MT_R9_returnee_locations_comparisson_R9-R8_V2.pdf?file=1&type=node&id=11304
11304
DTM COVID-19 Regional Atlas Point Operational Status As Of 08 April 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/637541080671082318.png
Apr 15 2021
/maps/dtm-covid-19-regional-atlas-point-operational-status-08-april-2021
https://migration.iom.int/system/tdf/maps/DTM_COVID19_20210408_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=11245
11245
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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.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://migration.iom.int/system/tdf/maps/DTM_COVID19_20201231_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=10463
10463