Updated January 27, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: Every six months
DTM in Yemen includes the monitoring of key migrant and return locations on Yemen's northern border with Saudi Arabia and southern coastal border. DTM monitors the arrivals of migrants and Yemeni nationals in order to identify different patterns and types of migration. IOM estimates that 6,589 migrants entered Yemen in addition to 2,819 Yemeni returns from Saudia Arabia during November 2019 bringing the number of migrants who have arrived in Yemen in 2019 to 127,275 and the number of Yemeni returnees to 44,777
Updated January 20, 2020
| Dataset date: Dec 31, 2019
This dataset updates: Every three months
The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation.
The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
Updated December 31, 2019
| Dataset date: Aug 8, 2019-Oct 8, 2019
This dataset updates: Every six months
DTM location assessment is to collect data on population presence in defined locations identified through the baseline area assessment. The assessment identifies where people are living and informs targets sites for more detailed site assessments.
Updated December 31, 2019
| Dataset date: Aug 8, 2019-Oct 8, 2019
This dataset updates: Every three months
Data set has IDPs, Households, geographic locations and reasons of displacement etc.
In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization
for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting
the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as
to establish a profile of the IDP population.
Updated December 31, 2019
| Dataset date: Aug 8, 2019-Oct 8, 2019
This dataset updates: Every six months
In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
Updated December 27, 2019
| Dataset date: May 5, 2019-Jul 10, 2019
This dataset updates: As needed
This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment.
Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
Updated December 24, 2019
| Dataset date: Dec 2, 2019-Dec 12, 2019
This dataset updates: Every three months
Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in
coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in
the Sofala province of Mozambique one of the provinces affected by the storm.
Updated December 23, 2019
| Dataset date: Oct 1, 2019-Oct 31, 2019
This dataset updates: Every three months
The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements.
The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin.
Updated December 23, 2019
| Dataset date: Oct 31, 2019
This dataset updates: Every three months
This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment.
In the context of the political instability that has prevailed since the uprising in Libya (October 2011) and culminated in the collapse of a fragile central authority accompanied by fragmentation and infighting among myriads of militias, with continued fighting since the mid-2014 escalations, estimates indicate that the number of Internally Displaced Per-sons (IDPs) in Libya has exceeded 400,000 individuals, some eight percent of the total population (HNO, September 2015). While the country struggles to achieve and maintain stability, thousands of migrants are also taking journeys to and through Libya in a desperate bid to seek a better life in Europe. These migrants are exposed to risks of being trafficked and exploited while traveling through dangerous routes in deserts and territories controlled by different armed groups, as well as dying during attempts to cross the Mediterranean Sea.
However, there has been no standardized mechanism in place to verify and regularly update IDP and migrant numbers. Given that most humanitarian and international organizations operate remotely from Tunis since mid-July 2014 due to the deteriorating security situation, maintaining access to reliable and updated data on the humanitarian situation in Libya has been challenging.
Updated December 16, 2019
| Dataset date: May 1, 2018-Jul 20, 2018
This data is by request only
DTM Round 3 was implemented at the northern (Tumbes) and southern borders (Tacna) of the country and at points of affluence in Metropolitan Lima; between May 2018 and June 2018. This had questions related to Profile of Venezuelan migrant, Living conditions in Lima and Callao, Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields
The datasets cover the period of 4 September - 16 October and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.
Updated December 6, 2019
| Dataset date: Nov 5, 2019
This dataset updates: Every three months
This data was collected through 66 key informant interviews across 23 settlements in the affected areas of between the 30th of October and 5th of November. At the time of completion, 5,704 individuals were identified as living in the affected settlements in Greater & Little Abaco.
This multi-sectoral location assessment has been designed with input from the various Emergency Support Functions (ESFs) coordinating the Hurricane Dorian response in the Bahamas. It provides an overview of the population distribution, needs, and access to services, of returnees, remainees, and evacuees across Greater and Little Abaco. This document is part of a series of ongoing efforts conducted by IOM to inform service providers, humanitarian actors and donors on main needs while reducing survey fatigue of key informants by streamlining assessment activities.
The dataset has displaced location of IDPs & households. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
Updated November 27, 2019
| Dataset date: Jun 30, 2019
This dataset updates: Every year
The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level. 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.
Updated November 27, 2019
| Dataset date: Oct 12, 2019
This dataset updates: Every six months
A village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and reintegration.
Updated November 18, 2019
| Dataset date: Aug 8, 2019-Oct 10, 2019
This dataset updates: Every three months
NPM Bangladesh has produced a number of tools based on its regular data collection activities. The package of November 2019 is based on NPM Site Assessment 16 (during the months of 21st August – 10th October) and NPM most updated drone imagery (as of 23 January 2019).
Here below, the complete package by camp:
SW Map package KMZ file Drone image
The full image and shapefiles are available at this link.
Updated October 31, 2019
| Dataset date: Sep 30, 2019
This dataset updates: Every six months
The dataset contains households and individual number of returnees at village level. The dataset is gender and age dis-aggregated with category of returnees i.e. IDPs or Refugees.
Updated October 31, 2019
| Dataset date: Sep 30, 2019
This dataset updates: Every six months
This dataset reflects the aggregation of the registration exercises conducted in Sudan since 2010, contains IDPs, households and Returnees by age and sex. All DTM registration and assessment exercises were jointly conducted in collaboration with Humanitarian Aid Commission (HAC).
Updated October 30, 2019
| Dataset date: Feb 1, 2019-Feb 16, 2019
This dataset updates: As needed
The dataset contains number of people displaced and returnees at village level in Kasai Oriental province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
