World map
Click a point to view details
Displaced population tracked by DTM
As of
The information displayed on this page represents the most recent DTM results. For more detailed, time series data, please access individual country pages.
Population displaced by conflict and violence
As of Dec 2020, in countries with active DTM. Source: IDMC


  • Current DTM operation
  • Previously active DTM operation or flow monitoring operations
  • Administrative division with available number of displaced persons
  • Site assessed by DTM
Cause of displacement


This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Image CAPTCHA
Enter the characters shown in the image.

This website is funded by:

Country DTM Contacts

From date
To date

Data Science and Ethics Group

Group SummaryBuilding on recent work and attention on ethical humanitarian data science, the Data Science and Ethics Group (hence referred as “the group”) gathers key actors involved in data science…

Resource 2019-07-22T12:00:00

DTM & Partners Toolkit

DTM data are shared with humanitarian actors to inform response. DTM and most Global Clusters, AoRs and WGs have jointly developed tools to support cooperation in the field and obtain DTM data that…

Resource 2018-11-16T12:00:00

Displacement Tracking Matrix Educational Materials

The displacement of people within their own countries is a matter of increased concern worldwide, most especially among those involved in humanitarian work.  “The Displacement Tracking Matrix (DTM)…

Reference 2018-04-27T12:00:00

DTM Vacancies

Iraq: Project Officer (Displacement, Tracking & Monitoring (DTM))Iraq: DTM Coordinator (Displacement Tracking Matrix)

Key Resource 2018-03-27T12:00:00

Timeline of DTM activation

This visualization shows the countries where DTM has been active since its inception. By 2018, DTM has been active in over 70 countries tracking human mobility in natural disaster, conflict and mixed…

Reference 2018-03-12T12:00:00

Methodological Framework used in Displacement Tracking Matrix Operations for Quantifying Displacement and Mobility

DTM’s effectiveness in meeting varying objectives in a diverse range of contexts relies on its ability to maintain a lightweight, flexible and modular structure, enabling quick adjustments and…

Methods 2017-12-05T12:00:00

Feedback on

The new global DTM website launched in November 2017 contains site and area specific information on displaced populations, links to reports and datasets for DTM operations worldwide. We want your…

Technology 2017-11-09T12:00:00

DTM team and key facts

Reference 2017-11-08T12:00:00

Guidance and Best Practices: Humanitarian Data Protection

IOM’s Data Protection Principles were developed in 2009 to assist IOM staff in handling personal data. However, due to rapid changes in technology and new threats to data protection, staff requested…

Methods 2017-11-07T12:00:00

Prepositioning relief: Using a random walk model to predict the distribution of IDPs in Nigeria

Random walk is a mathematical modelling technique used in many scientific fields to model seemingly random behavior. Displacement in conflict scenarios, in contrast to displacement induced by rapid-…

Methods 2017-11-07T12:00:00

Subscribe to weekly reports

Join the DTM Global Training

Learn more

DTM carried out assessments in PK5 (Bangui), which continues to host a significant number of people affected by the conflict.

As of 8 May 2017 DTM has identified 102,816 displaced families. The majority (over 50%) of displaced persons were residing in camps, followed by private settings.

Depuis 2014, la République du Cameroun a pu ressentir les effets de l’insurrection de l’Etat Islamique en Afrique de l’Ouest (ISWA, anciennement Boko Haram).

By March 2017 DTM identified 149,028 IDPs in 31,504 households across 11 provinces in Burundi. 56% of the displaced population was found to be living with host families.

During the reporting period 4,781 outgoing individuals were identified across the 2 active FMPs that were surveyed. 8,416 incoming individuals were identified.

DTM recorded a 46% increase in the population at Wau Town as a result of the recent conflict. 82% of the Wau Town IDP population are women and children.

The DTM Emergency Tracking Tool was deployed to track and provide up to date information on sudden displacement and other population movements in: Bama, Chibok, Damboa, Dikwa, Gwoza, Kukawa and Monguno.

La Matrice de Suivi des Déplacements est un système compréhensif de collecte d’informations sur les personnes déplacées internes dans les provinces ciblées du Burundi.

Displacement events were recorded in Tripoli, Al Ajaylat, Benghazi, Ashshwayrif and Sebha. 

During the reporting period 1,858 individuals were observed crossing the border into Haitian territory. Of these, 1,028 were voluntarily registered. 28 unaccompanied minors were identified. Of these, 12 had officially been deported into Haitian territory.

DTM identified 60,538 IDP families comprised of approximately 363,228 individuals. Mosul was the most commonly cited district of origin (328,806 individuals) followed by Hatra (18,510).

DTM identified 60,538 IDP families comprised of 363,228 individuals. The majority of the identified individuals (328,806) originated from Mosul. 313,680 people were living in camps/emergency sites and 46,020 people were living in private settings. 

The cumulative total of IDPs recorded by DTM during this period was 473,280 individuals comprising 78,880 families. Of these, 359,250 individuals (comprising 59,875 families) are still displaced. 214,872 people are currently residing in emergency camps (60%).

Depuis février 2016, l'OIM Niger effectue un suivi des flux migratoires sur deux points de la région d'Agadez au Niger. Les points de suivi des flux migratoires sont placés sur des lieux de transit sur les routes migratoires du Niger.

On 27 April, SPLA forces advanced on Kodok. The attack has led to further displacement in the area, pushing a large number of people toward Abruoc. This displacement will add to the numbers that had been arriving following SPLA operations in Panyikang earlier in April.

Relief agencies continue to provide assistance to new arrivals at existing displacement sites since population influxes following the outbreak of violence on April 10.

DTM recorded 59,875 IDP families comprised of 359,250individuals. The majority of recorded IDPs originated from Mosul District (324,828 individuals). Most IDPs are living in camps or emergency sites (309,702 individuals).

The IOM DTM team in partnership with WFP conducted a biometric registration in Panyijar County, Unity from 13 February - 16 April 2017 to record accurate cross-sectional data that better reflects the reality on the ground in areas of high humanitarian needs.

Included in this Emergency Tracking Tool (ETT) snapshot are Bama, Biu, Chibok, Dikwa, Gwoza, Monguno, Kaga, Kala/Balge, Yola South, Jere.

This snapshot contains Emergency Tracking data on Bama, Chibok, Dikwa, Gwoza, Kukawa, Damboa, Ngala, Kala Balge, and Maiduguri M. C.

Clashes around Tamnhnt airport base began in early April 2017 and have been ongoing until the time of publication. DTM conducted a rapid assessment in the affected areas to determine the impact of the clashes on populations residing in the area.

DTM recorded 59,735 IDP families comprised of 258,410 individuals. The majority of recorded IDPs originated from Mosul District (323,982 individuals). Most IDPs are living in camps or emergency sites (309,492 individuals).

DTM has identified 1,884,331 displaced individuals. 35% of IDPs dwell in camps or camp-like settings. 65% of all individuals are in host community settings. 79.5% are women and children. 28.3% are children under five years. 69% of people surveyed cited food as an unmet need.

As of 01 April 2017, the TFPM has identified, 1,988,946 internally displaced persons (IDPs) (331,491 households) who have been displaced due to conflict since March 2015, dispersed across 21 governorates.

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Image CAPTCHA
Enter the characters shown in the image.