Asia and the Pacific
DTM Asia and the Pacific
DTM Operations in the region
- Active DTM operation
- Past DTM operation
Rohingya refugees live in the world’s largest refugee settlement in Bangladesh’s south-eastern district of Cox’s Bazar. The Myanmar military attack on Rakhine state in August 2017 forced thousands of Rohingya Muslims to escape to Bangladesh.
Between 21 May and 03 June 2023, 4,866 undocumented Afghan nationals spontaneously returned to Afghanistan, including 2,074 through the Torkham border point and 2,792 through the Chaman border point.
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 Afghanistan conducts the Community-Based Needs Assessment (CBNA) as an integral component of DTM's Baseline Mobility Assessment (BMA), which (in a jointly released report) tracks mobility and displacement. The CBNA provides a comprehensive overview of the evolving vulnerabilities and multisec
After the Burmese military’s violent assault on Rohingya Muslims in Rakhine Province began in August 2017, when thousands of Rohingya people fled their homes with severe persecution resulting in the creation of the world’s largest refugee camps in Bangladesh.
IOM Pakistan collects data on the outflows of undocumented Afghan migrants at the Torkham and Chaman border crossing points in an effort to better understand the migration movements of undocumented Afghan migrants returning to Afghanistan from Pakistan.
On May 14 at around 15:00 hrs., Cyclone Mocha hit the coastal areas along the Bangladesh-Myanmar border.
IOM Pakistan collects data on the outflows of undocumented Afghan migrants at the Torkham and Chaman border crossing points in an effort to better understand the migration movements of undocumented Afghan migrants returning to Afghanistan from Pakistan.
This report provides an overview of key thematic areas covered by the Ulaanbaatar city-wide rapid assessment on population, migration and needs between June and August 2022.
Энэхүү судалгаа нь Улаанбаатар хотын хүн ам зүй, шилжилт хөдөлгөөн ба хэрэгцээ шаардлагыг тодорхойлоход чиглэсэн үндсэн сэдвүүдийн хүрээнд 2022 оны 6, 7, 8 дугаар сарын тойм мэдээллийг харуулсан болно.
A massive and devastating fire that broke out through Camp 11 on 5th March 2023, affected nearly 16,000 Rohingya refugees and causing severe damage to certain areas of the world’s largest refugee camp in Cox’s Bazar.
The snapshot presents the number of Bangladeshi nationals who arrived by land and sea in the European Union and those who transited through the Western Balkan and Eastern Europe region, which comprise a portion but not all arrivals to EU in 2022.
IOM Pakistan collects data on the outflows of undocumented Afghan migrants at the Torkham and Chaman border crossing points in an effort to better understand the migration movements of undocumented Afghan migrants returning to Afghanistan from Pakistan.
Between 26 March and 08 April 2023, 1,591 undocumented Afghan nationals spontaneously returned to Afghanistan, including 1,054 through the Torkham border point and 537 through the Chaman border point.
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.
The snapshot captures present mobility and displacement trends between Afghanistan, the Islamic Republic of Iran and Pakistan.
Storms and heavy monsoon rains in Pakistan have caused widespread flooding and landslides across the country.
Between 15 January and 28 January 2023, 1,416 undocumented Afghan nationals spontaneously returned to Afghanistan, including 805 through the Torkham border point and 611 through the Chaman border point.
Between 12 March and 25 March 2023, 5,181 undocumented Afghan nationals spontaneously returned to Afghanistan, including 2,679 through the Torkham border point and 2,502 through the Chaman border point.
Between 26 February and 11 March 2023, 6,264 undocumented Afghan nationals spontaneously returned to Afghanistan, including 3,132 through the Torkham border point and 3,132 through the Chaman border point.
The Baseline Mobility Assessment (BMA) is part of the European Union-funded Displacement Tracking Matrix (DTM) project "Regional Evidence for Migration Analysis and Policy" (REMAP).
The Baseline Mobility Assessment (BMA) is part of the European Union-funded Displacement Tracking Matrix (DTM) project "Regional Evidence for Migration Analysis and Policy" (REMAP).
Over 16,000 Rohingya refugees were impacted by the massive fire that swept through Camp 11 in Cox's Bazar, causing severe damage to certain areas of the world's largest refugee camp. Of these, 5,000 Rohingya refugees were temporarily displaced and moved to nearby camps.
This yearly summary report, in addition to bi-weekly and quarterly reports, aims to contribute to a better understanding of return movements of undocumented Afghan returnees by conducting more in-depth analysis on the data that was collected in 2022.
Central Sulawesi Earthquake — Site Assessment Round 1
Nov 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.
Afghanistan - Baseline Assessment Settlement Round 6
Dec 27 2018
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 6
Dec 27 2018
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.
DTM Vanuatu Round 3
Dec 13 2018
Population of Ambae according to the 2016 Mini-Census was 11,670. DTM is currently tracking a total of 11,380 displaced Ambaeans in 2,717 households across Sanma, Penama and Shefa provinces , which accounts for 97.5% of the 2016 population. At the request of NDMO, between 8th and 19th of…
Papua New Guinea - Site Assessment - Earthquake 2018 - Round 3
May 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.
Papua New Guinea - Site Assessment - Earthquake 2018 - Round 2
Apr 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.
Site Assessment - Lombok Earthquake Round 2
Oct 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.
Pakistan - Site Assessment - Round 6
Feb 29 2012
13,325 IDP individuals and 2,533 IDP households were identified in Round 6.
Pakistan - Site Assessment - Round 5
Jan 31 2012
55,953 IDP individuals and 10,379 IDP households were identified in Round 5.
Pakistan - Site Assessment - Round 4
Dec 30 2011
225,472 IDP individuals and 42,447 IDP households were identified in Round 4.
Pakistan - Site Assessment - Round 3
Nov 30 2011
454,476 IDP individuals and 86,647 IDP households were identified in Round 3.
Site Assessment - Lombok Earthquake Round 1
Oct 09 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.
Afghanistan - Baseline Assessment Settlement Round 5
Sep 26 2018
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 5
Sep 26 2018
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.
Sri Lanka - Baseline Assessment Round 1
Jul 31 2017
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.
Afghanistan - Baseline Assessment District Round 4
Mar 31 2018
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.
Afghanistan - Baseline Assessment Settlement 4
Mar 31 2018
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
Vanuatu — Site Assessment Round 2 Manaro Voui Eruption 2017
Oct 18 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.
Vanuatu — Site Assessment Round 1 Manaro Voui Eruption 2017
Oct 09 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.
Afghanistan - Baseline Assessment District Round 3
Dec 31 2017
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
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې اړوند ټولټال راغلیو کسانو په اړه ده (بهرنیو هېوادونو څخه راستنېدونکي + راغلي کورني بېځایه شوي).
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې پورې اړوند بهرنیو هیوادونو څخه راستنېدونکو په اړه ده (هغه افغانان چې د ۶ میاشتو لپاره هېواد څخه بهر ته کډوال شوي ول او اوس بېرته افغانستان ته راستانه شوي دي).
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې دورې اړوند د پخوانیو کورنیو بېځایه شویو په اړه ده چې خپلو کورونو ته ستانه شوي (هغه افغانان چې له ارزول شویو کلیو څخه دي چې پخوا د کورنیو بېځایه شویو په توګه یې خپلې اصلي سیمې پرېښي وي خو اوس بېرته خپلو کورونو ته ستانه شوي).
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې اړوند د هېواد څخه بهر ته کډوال شویو کسانو په اړه ده (هغه افغانان چې هېواد څخه بهر ته کډوال شوي).
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې اړوند کوربه ټولنو ته راغلیو کورني بېځایه شویو کسانو په اړه ده (کورني بېځایه شوي چې له نورو ځایونو څخه یو له ارزول شویو کلیو کې اوسېږي).
دا نقشه د ۲۰۱۲ کال څخه ۲۰۲۰ جون میاشتې اړوند د هغو کورني بېځایه شویو کسانو په اړه ده چې خپلې اصلي سیمې یې پریښي (هغه افغانان چې له ارزول شویو کلیو څخه د کورنیو بېځایه شویو په توګه یې خپلې سیمې پرېښي او د افغانستان دننه نورو ځایونو کې اوسېږي).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است و در مورد مجموعه جریان ورودی است (بازگشت کنندگان خارج از کشور + بیجاشدگان داخلی که جابجا شده اند).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است و در مورد کسانی از کشور های خارجی بازگشت نموده اند (افغان هایکه به حد اقل مدت ۶ ماه خارج از کشور بودند و حال دوباره به وطن بازگشت نموده اند).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است و در مورد بیجاشدگان داخلی قبلی است که دوباره به محل اصلی خود بازگشت نموده اند (افغان هایکه از قریجات ارزیابی شده هستند و قبلاً محل اصلی خود را منحیث بیجاشدگان داخلی ترک نموده بودند و حال دوباره به خانه هایشان بازگشت نموده اند).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است که در مورد بیجاشدگان داخلی که جابجا شده اند میباشد (بیجاشدگان داخلی از موقعیت های دیگر که فعلاً در یکی از قریجات ارزیابی شده به سر میبرند).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است و در مورد کسانی است که به خارج از کشور مهاجرت نموده اند (افغان هایکه به خارج از کشور نقل مکان نموده اند).
این نقشه مربوط دوره سال ۲۰۱۲ الی جون ۲۰۲۰ است که در مورد بیجاشدگان داخلی که محل اصلی خود را ترک نموده اند میباشد (افغان هایکه از یکی از موقعیت های ارزیابی شده به محل دیگری در داخل افغانستان بیجا شده اند).
This map provides information on Total inflow (Returnees from Abroad + Arrival IDPs) during period of 2012 till June 2020.
This map provides information on Returnees from Abroad (Afghans who had fled abroad for at least 6 months and have now returned to Afghanistan) During period of 2012 till June 2020.
This map provides information on Returned IDPs (Afghans from an assessed village who had fled as IDPs in the past and have now returned home) During period of 2012 till June 2020.
This map provides information on Outflow to Europe (Afghans who moved to non-neighboring countries) during period of 2012 till June 2020.
This map provides information on Out Migrants (Afghans who moved or fled abroad) During period of 2012 till June 2020.
This map provides information on Arrival IDPs (IDPs from other location currently residing in an assessed village) during period of 2012 till June 2020.
This map provides information on Fled IDPs (Afghans from an assessed village who fled as IDPs to reside elsewhere in Afghanistan) During period of 2012 till June 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.
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.
