Europe

World map
Arrivals to Europe
13,228
By sea
By land
As of
Arrivals to Europe
128,536
2019
147,683
2018
188,372
2017
390,005
2016
Mediterranean Dead/Missing
100
2020
Mediterranean Dead/Missing
1,885
2019
2,299
2018
Latest figures

Base map from Google and country shapes from ESRI are for illustration purposes only. Names and boundaries do not imply official endorsement or acceptance by IOM.

Legend
Recent trends
Countries of first arrival to Europe

Country

Arrivals

Percentage
Change

Previous week
13 Feb - 19 Feb

Current week
20 Feb - 26 Feb

Greece

802

437

-45%

Italy

288

294

2%

Spain

885

77

-91%

Total first arrival countries*

1,975

808

-59%

Registered Migrants in Other countries*

Bosnia and Herzegovina

353

646

83%

Montenegro

111

126

13%

Romania

85

69

-18%

Serbia

364

245

-32%

*Includes data for Cyprus which is not available on a weekly basis.

 Main countries or areas of origin in 2019 as of November:

To Italy[1]: Tunisia (24%), Pakistan (11%), Côte d´Ivoire (10%), Algeria (9%), Iraq (8%).

To Greece: Afghanistan (42%), Syrian Arab Republic (25%), Iraq (5%), Palestinian Territories (5%), the Democratic Republic of the Congo (5%).

To Spain: Morocco (30%), unspecified Sub-Saharan nationals (18%), Algeria (15%), Mali (9%), Guinea (9%).

To Cyprus: The Syrian Arab Republic (31%), Cameroon (15%), Pakistan (12%), Bangladesh (12%), Georgia (4%).

To Malta: Sudan (39%), Eritrea[2](7%), Nigeria (6%), Morocco (5%), Côte d´Ivoire (5%).

To Bulgaria[3]: Afghanistan (32%), Iraq (20%), Turkey (11%), Syrian Arab Republic (8%), Iran (7%).

 

[1] The information on nationality breakdown provided is based on the nationality declared by migrants as reported by the Italian Ministry of Interior.

[2] The information on nationality breakdown provided in this summary is based on the nationality declared by migrants as reported by the Maltese authorities.

[3] Nationality of persons registered at entry to Bulgaria.

 

In October 2015, IOM launched its Early Warning Information Sharing Network to commence sharing data between IOM, government agencies, and other humanitarian actors in affected countries of arriv

In October 2015, IOM launched its Early Warning Information Sharing Network to commence sharing data between IOM, government agencies, and other humanitarian actors in affected countries of arriv

In October 2015, IOM launched its Early Warning Information Sharing Network to commence sharing data between IOM, government agencies, and other humanitarian actors in affected countries of arriv

This dashboard presents the preliminary findings of a survey conducted by IOM/DTM Iraq during the months of November and December 2015 in the framework of the DFID-funded project “Understanding complex migration flows from Iraq to Europe through movement tracking and awareness campaigns”.

Between January and December 2015, a total of 663,295 Afghans spontaneously returned and were deported through Torkham, Islam Qala, Milak and Spin Boldak borders. Compared with the same period in 2014, spontaneous returns through the four borders have increased by 31% (416,457 vs.

While populations from the Middle East, South East Asia, and Africa have been crossing the Mediterranean to reach Europe in growing numbers since 2011, 2015 marked the sharpest increase of arrivals to Europe and deaths in the Mediterranean.

As of December 2015, 2,151,979 IDPs or 313,575 households were identified

2,151,979 IDPs (313,575 households) were identified in Adamawa, Bauchi, Benue, Borno, Gombe, Taraba, Yobe, Nasarawa, Plateau, Kaduna, Kano, Zamfara states and Abuja. Borno state (1,434,149 IDPs) has the highest number of IDPs, followed by Adamawa (136,010 IDPs) and Yobe (131,203 IDPs).

This dashboard presents the preliminary findings of a survey conducted by IOM/DTM Iraq during the months of November and December 2015 in the framework of the DFID-funded project “Understanding complex migration flows from Iraq to Europe through movement tracking and awareness campaigns”.

Cumulatively from the first week of June to 4 December 2015, 26,892 households representing 49,217 individuals crossed the border into Haitian territory. 35.2% were female while 64.8%& were male. 770 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 27 November 2015, 25,078 households representing 46,638 individuals crossed the border into Haitian territory. 35.5% were female while 64.5% were male. 751 presumed unaccompanied minors were identified.

Cumulatively since the first week of June to 20 November 2015, 23,475 households representing 44,016 individuals crossed the border into Haitian territory. 35.9% were female while 64.1% were male. 691 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 13 November 2015, 21,711 households representing 41,292 individuals crossed the border into Haitian territory. 36.5% were female while 63.5% were male. 645 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 6 November 2015, 20,406 households representing 38,826 individuals crossed the border into Haitian territory. 36.6% were female while 63.4% were male. 608 presumed unaccompanied minors were identified.

As of October 2015, 2,233,506 IDPs in 318,937 households were identified in the sixth round of assessments. The dashboard includes a map of displacement severity by Local Government Area (LGA) and ward. 

2,233,506 IDPs (318,937 households) were identified in Adamawa, Bauchi, Borno, Gombe, Taraba, Yobe, Nasarawa, Plateau, Kaduna states and Abuja. Borno state (1,606,406 IDPs) has the highest number of IDPs, followed by Yobe (144,302 IDPs) and Adamawa (135,605 IDPs).

Cumulatively from the first week of June to 30 October 2015, 18,896 households representing 36,442 individuals crossed the border into Haitian territory. 37.1% were female while 62.9% were male. 577 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 16 October 2015, 15,612 households representing 31,595 individuals crossed the border into Haitian territory. 38.5% were female while 61.5% were male. 436 presumed unaccompanied minors were identified.

This Site Assessment Dashboard identified 189,011 IDPs (28,983 households) in 76 camps and camp-like settings. 52% of the IDPs identified are children and overall, most IDPs are women between 18 and 59 years old.

Cumulatively from the first week of June to 9 October 2015, 14,284 households representing 29,279 individuals crossed the border into Haitian territory. 38.9% were female while 61.0% were male. 389 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 2 October 2015, 12,326 households representing 26,131 individuals crossed the border into Haitian territory. 40.2% were female while 59.8% were male. 351 presumed unaccompanied minors were identified.

Cumulatively from the first week of June to 25 September 2015, 10,893 households representing 23,767 individuals crossed the border into Haitian territory. 40.8% were female while 59.1% were male. 259 presumed unaccompanied minors were identified.

Cumulatively from the start of border monitoring in the first week of June 2015 to 16 June, 9,058 households representing 20,596 individuals crossed the border into Haitian territory. 42^ were female while 57.8% were male and 0.1% of the records had no data on gender.

Cumulatively from the first week of June 2015 to 11 September 2015, 7,272 households representing 17,548 individuals crossed the border into Haitian territory. 43.3% were female while 56.3% were male and 0.4% of the records had no data on gender.

Country
Operation
Round
Component
From date
To date

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About

Migration.iom.int is an IOM online platform designed to enhance access to Displacement Tracking Matrix (DTM) migration flow information products, including a visualization of population flows. The DTM also has a second online platform, displacement.iom.int, designed to visualize internal displacement monitored through the DTM systems; this platform facilitates a better understanding of mobility trends within a country in assessed areas.

 

The DTM is a system designed to track and monitor displacement and population mobility, provide critical information to decision-makers and responders during crises, and contribute to better understandings of population flows. The DTM includes four standard components – each comprising various tools and methods – that can be applied, adapted and combined as relevant in a particular context. The standard components are: (i) mobility tracking; (ii) flow monitoring; (iii) registration and (iv) surveys. Data visualized on the flow.iom.int website is retrieved from flow monitoring exercises. 

A Flow Monitoring exercise collects information on the volume and basic characteristics of populations transiting through selected locations - referred to as Flow Monitoring Points (FMPs) – during specific observation hours. Data collected includes previous transit point(s), next destination, intended destination (when possible) and means of transportation, as well as the number, sex and nationality of migrants passing through the Flow Monitoring Point. Data is collected overtime through periodic cycles.

Once baseline data is collected through Flow Monitoring exercises. When required and as needed, Flow Monitoring Surveys (FMS) are then implemented to collect multi-layer and multi-themed data on mobile populations. FMS collect data at the individual level and include, but are not limited to, information on basic socio-economic profiles, information regarding the journey (cost, routes, modes of transport, intermediaries) and some basic data on the intentions, expectations, and perceptions of the final destination that migrants have. The findings of these surveys are used in the overall analysis presented in the IOM Flow Monitoring reports.

Map disclaimer:  Base map from Google and country shapes from ESRI are for illustration purposes only. Names and boundaries do not imply official endorsement or acceptance by IOM.

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Flow monitoring data collection and operations are funded by:

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