Asia and the Pacific
DTM Asia and the Pacific
DTM Operations in the region
- Active DTM operation
- Past DTM operation
This district-level report provides an overview of key thematic areas covered by the Bayangol district rapid assessment on population, migration and needs between September 2022-February 2023.
This district-level report provides an overview of key thematic areas covered by the Sukhbaatar district rapid assessment on population, migration and needs between September 2022 and February 2023.
This district-level report provides an overview of key thematic areas covered by the Baganuur district rapid assessment on population, migration and needs between September 2022 and February 2023.
This district-level report provides an overview of key thematic areas covered by the Khan-Uul district rapid assessment on population, migration and needs between September 2022 and February 2023.
This report provides an overview of key thematic areas covered by the Ulaanbaatar city-wide rapid assessment on population, migration and needs between September 2022 and February 2023.
This district-level report provides an overview of key thematic areas covered by the Bayanzurkh district rapid assessment on population, migration and needs between September 2022 and February 2023.
IOM continues to work in partnership with the National Disaster Centre and Bougainville Office for Disaster and Climate Change to assess and assist communities affected by Mt. Bagana volcano eruption.
The massive fire that swept through Camp 11 on March 5, 2023, affecting over 16,000 Rohingya refugees, severely damaged certain areas of the world’s largest refugee camps. Of these, 5,000 Rohingya refugees were temporarily displaced and moved to nearby camps.
In Asia and the Pacific, human mobility, including both migration and displacement, due to disasters caused by natural hazards is at an all-time high and is set to rise significantly in the coming decades due to climate change.
Between 16 and 31 July 2023, 3,200 undocumented Afghan nationals spontaneously returned to Afghanistan, including 1,330 through the Torkham border point and 1,870 through the Chaman border point.
Between 01 and 15 July 2023, 4,746 undocumented Afghan nationals spontaneously returned to Afghanistan, including 2,915 through the Torkham border point and 1,831 through the Chaman border point.
On 7 July 2023, Mt. Bagana located in Torokina district in the Autonomous Region of Bougainville (ARoB) in Papua New Guinea, experienced a moderate volcanic eruption that caused significant ashfall. The affected and at-risk communities, especially those living near Mt.
Between 18 June and 01 July 2023, 6,656 undocumented Afghan nationals spontaneously returned to Afghanistan, including 5,707 through the Torkham border point and 949 through the Chaman border point.
From June to October 2022, storms and heavy monsoon rains in Pakistan have caused widespread flooding and landslides across the country.
IOM Pakistan collects data on the outflows of undocumented Afghan nationals at the Torkham and Chaman border crossing points in an effort to better understand the migration movements of undocumented Afghan nationals returning to Afghanistan from Pakistan.
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
DTM has been conducting the Baseline Mobility Assessment (BMA) in Afghanistan since 2016 to track mobility, provide information on population estimates, locations and geographic distribution of displaced and returnee populations, reasons for displacement, places of origin and periods of displacem
Between 4 and 17 June 2023, 4,276 undocumented Afghan nationals spontaneously returned to Afghanistan, including 1,757 through the Torkham border point and 2,519 through the Chaman border point.
The snapshot captures present mobility and displacement trends between Afghanistan, the Islamic Republic of Iran and Pakistan.
The snapshot captures present mobility and displacement trends between Afghanistan, the Islamic Republic of Iran and Pakistan.
Afghanistan - Baseline Assessment District Round 9
Jun 23 2020
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country. This dataset presents a summary at the district level of data collected by DTM in Afghanistan.
Bangladesh — Site Assessment — Round 17
Jan 28 2020
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 16
Oct 10 2019
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 15
Jun 24 2019
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 14
Feb 13 2019
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 13
Nov 20 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 12
Oct 10 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 11
Jul 22 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 10
May 20 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 9
Mar 25 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 7
Dec 12 2017
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Bangladesh — Site Assessment — Round 5
Sep 25 2017
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Philippines — Mindanao Earthquakes — Site Assessment — Round 4
Dec 05 2019
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Vanuatu - Site Assessment - Returnees dataset - Round 5
Apr 04 2019
In mid-March 2019 DTM has conducted a rapid Ambae Returnee count. The data was collected from 2019-03-14 to 2019-03-18. A total of 80 interviews and site visits were conducted reaching 100% of Returnee communities.
DTM Vanuatu Round 4
Mar 12 2019
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Vanuatu - Cyclone Pam - Site Assessment Round 1
Mar 24 2015
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Vanuatu - Cyclone Pan - Site Assessment Round 2
Apr 30 2015
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
Afghanistan - Baseline Assessment Settlement Round 7
Jan 17 2019
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country. This dataset contains information by settlement. Settlement is the lowest unit of observation used in Afghanistan
Afghanistan - Baseline Assessment District Round 7
Jan 17 2019
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country. This dataset presents a summary at the district level of data collected by DTM in Afghanistan.
Central Sulawesi Earthquake — Site Assessment Round 2
Dec 30 2018
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
