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DTM Turkey, dtmturkey@iom.int
Language
English
Period Covered
Jan 01 2022
Mar 31 2022
Activity
  • Flow Monitoring Survey
  • Flow Monitoring
  • Migrants presence

According to the latest available figures from the Turkish Presidency of Migration Management (PMM), there are more than 5* million foreign nationals present in Turkish territory, 3.7* million of whom are seeking international protection. Most are Syrians (3,763,565* individuals) who are granted temporary protection status. In addition, international protection applicants from countries including Afghanistan, the Islamic Republic of Iran and Iraq constitute another group of foreign nationals. According to PMM, there were 29,256* international protection applicants present in Turkey in 20211, published annually. Moreover, according to UNHCR**, there are close to 330,000 international protection status holders and asylum-seekers. Since December 2021 the number of Syrians residing in camps has decreased by 687.


*Data source PMM, 31.03.2022
**Data source UNHCR, December 2021

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DTM Sudan; dtmsudan@iom.int
Language
English
Location
Sudan
Snapshot Date
Apr 04 2022
Activity
  • Event Tracking
  • Mobility Tracking

The DTM Emergency Event Tracking (EET) is deployed to track sudden displacement and population movements, provide more frequent updates on the scale of displacement, and quantify the affected population when needed. As a subcomponent of the new Mobility Tracking methodology in Sudan (Round Three), and activated on a need basis, EET utilises a broad network of key informants to capture best estimates of the affected population presence per location – a useful tool for humanitarian response planning and design.

Public Dataset

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DTM Burundi, DTMBurundi@iom.int
Location
Burundi
Activity
  • Mobility Tracking
  • Baseline Assessment
Period Covered
Jan 31 2022 -
Feb 18 2022
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.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

Public Dataset

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DTM Yemen, iomyemendtm@iom.int
Location
Yemen
Activity
  • Event Tracking
  • Mobility Tracking
Period Covered
Jan 01 2022 -
Mar 31 2022
IOM Yemen DTM’s Rapid Displacement Tracking (RDT) tool collects data on estimated numbers of households forced to _ee on a daily basis from their locations of habitual residence or displacement, allowing for regular reporting of new displacements1 in terms of estimated numbers, causes of displacement, geography and needs. It also tracks returnees who returned to their location of habitual residence.

During the reporting period, between 1 January and 31 March 2022, IOM Yemen DTM tracked a cumulative 4,950 households (HHs) (approximately 29,700 individuals2) that experienced displacement at least once. Since the beginning of the year, the number of tracked new instances of displacement has been declining steadily. Safety and security concerns as a result of the con_ict were the main reason for displacement, accounting for 99 per cent (14,245 HHs) of the total, followed by economic reasons related to con_ict, accounting for one per cent (194 HHs). The majority of people moved into/within the following governorates and districts: • Al Hodeidah (1461 HHs) – Hays (1248 HHs), Al Khukhah (213 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Taiz. • Marib (1019 HHs) – Marib City (668 HHs), Marib (217 HHs), Harib (134 HHs) districts. Most displacements in the governorate originated from Marib and Al Jawf. • Shabwah (814 HHs) – Ataq (266 HHs), Osaylan (240 HHs), Ayn (145 HHs) districts. Most displacements in the governorate originated from Shabwah and Marib.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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Contact
DTM Yemen, iomyemendtm@iom.int
Language
English
Location
Yemen
Period Covered
Jan 01 2022
Mar 31 2022
Activity
  • Rapid Emergency Registration
  • Mobility Tracking

IOM Yemen DTM’s Rapid Displacement Tracking (RDT) tool collects data on estimated numbers of

households forced to flee on a daily basis from their locations of habitual residence or displacement,

allowing for regular reporting of new displacements1 in terms of estimated numbers, causes of

displacement, geography and needs. It also tracks returnees who returned to their location of

habitual residence.

 

During the reporting period, between 1 January and 31 March 2022, IOM Yemen DTM tracked a

cumulative 4,950 households (HHs) (approximately 29,700 individuals2) that experienced

displacement at least once. Since the beginning of the year, the number of tracked new instances of

displacement has been declining steadily.

 

Safety and security concerns as a result of the conflict were the main reason for displacement,

accounting for 99 per cent (14,245 HHs) of the total, followed by economic reasons related to

conflict, accounting for one per cent (194 HHs).

 

The majority of people moved into/within the following governorates and districts:

  • Al Hodeidah (1461 HHs) – Hays (1248 HHs), Al Khukhah (213 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Taiz.
  • Marib (1019 HHs) – Marib City (668 HHs), Marib (217 HHs), Harib (134 HHs) districts. Most displacements in the governorate originated from Marib and Al Jawf.
  • Shabwah (814 HHs) – Ataq (266 HHs), Osaylan (240 HHs), Ayn (145 HHs) districts. Most displacements in the governorate originated from Shabwah and Marib.
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DTM Nigeria, AllUsersInDTMNigeria@iom.int
Language
English
Location
Nigeria
Period Covered
Apr 02 2022
Apr 08 2022
Activity
  • Mobility Tracking
  • Baseline Assessment
  • Points of Entry (PoE)

During the COVID-19 pandemic, IOM's Displacement Tracking Matrix (DTM), in collaboration with the World Health Organization (WHO), monitors cross-border movements to and from Nigeria's Borno State in north-east Nigeria. Assessments are conducted at Points of Entry located along the border with Cameroon.

A range of data was collected during the assessments to better inform on travellers’ nationalities, sex, reasons for moving, mode of transportation and timeline of movement as shown in figures 2 to 5 below.

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DTM Nigeria, AllUsersInDTMNigeria@iom.int
Language
English
Location
Nigeria
Period Covered
Apr 04 2022
Apr 10 2022
Activity
  • Event Tracking
  • Mobility Tracking

Nigeria's north-central and north-west zones are afflicted with a multidimensional crisis rooted in long-standing tensions between ethnic and religious groups and involves attacks by criminal groups and banditry/hirabah (such as kidnapping and grand larceny along major highways). During the past years, the crisis has accelerated because of the intensification of attacks and has resulted in widespread displacement across the region.


Between the 04th and 10th of April 2022, armed clashes and banditry have led to new waves of population displacement. Following these events, rapid assessments were conducted by DTM (Displacement Tracking Matrix) field staff to inform the humanitarian community and government partners, and enable targeted response. Flash reports utilise direct observation and a broad network of key informants to gather representative data and collect information on the number, profile and immediate needs of affected populations.


During the assessment period, the DTM identified an estimated 1,507 individuals who were affected by the attacks. A total of 1,478 individuals were displaced to neighbouring wards in the LGAs Wurna in Sokoto State and Kajuru in Kaduna State, while 20 individuals affected in Rafin Iwa ward in LGA Sabuwa in Katsina State are still within the attacked ward. A total of 22 casualties
were reported, including 13 injuries and 9 fatalities.

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DTM South Sudan, SouthSudanDTM@iom.int
Language
English
Location
South Sudan
Period Covered
Mar 02 2022
Mar 04 2022
Activity
  • Site Assessment
  • Registration
  • Flow Monitoring
  • Mobility Tracking

In March 2022, the population of the Bentiu town sites was counted at 52,257 individuals (8,662 households), representing a 131.79 per cent increase relative to December 2021 (22,545 individuals). Major population increases are observed across all sites.

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DTMMozambique@iom.int
Language
English
Location
Mozambique
Period Covered
Mar 30 2022
Apr 05 2022
Activity
  • Event Tracking
  • Mobility Tracking

During the reporting period (30 March to 05 April 2022), a total of 40 movements were recorded - 34 arrivals (3,572 individuals), 4 departures (70 individuals), 1 transit (19 individuals) and 1 return (24 individuals). The largest arrival movements were recorded in Muidumbe (2,339 individuals), Mueda (551 individuals), Nangade (419individuals) and Montepuez (123 individuals). The largest departures were observed in Mueda (24 individuals) and Nangade (22 individuals). The transit was observed in Nangade (19 individuals). The return was observed in Montepuez (24 individuals). Of the total population, 17 per cent of the mobile groups were displaced for the first time, and 83 per cent of reported to having been displaced more than once prior to this movement.

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DTM Europe, DTMMediterranean@iom.int
Language
English
Period Covered
Feb 24 2022
Apr 12 2022
Activity
  • Flow Monitoring
  • Migrants presence

To date, Ukrainian refugees represent 91 per cent (377,272) of all individuals registered at entry from Ukraine to the Republic of Moldova, while the remaining 9 per cent (36,153) are Third-Country Nationals (TCNs).

Similarly, Ukrainian refugees represent 89 per cent (284,361) of all individuals, among those entered the Republic of Moldova since 24 February 2022, to have left the country by flight, towards Romania or towards Ukraine, while the remaining 11 per cent (32,403) are TCNs.

This report focuses on trends of TCNs from Ukraine to the Republic of Moldova, analyzing data on their stay or subsequent onward movement out of the country.