Frontex - laatste kwartaal 2015

8/18/2019 Frontex - laatste kwartaal 2015

1/26

QQ

Q Q

FRAN QuarterlyQ 4 • O–D 2015


2/26

FRAN · q1 2015

Frontex official publications fall into four main categories: risk analysis, training,

operations and research, each marked with a distinct graphic identifier. Risk analysis

publications bear a triangular symbol formed by an arrow drawing a triangle, with a

dot at the centre. Metaphorically, the arrow represents the cyclical nature of risk

analysis processes and its orientation towards an appropriate operational response.

The triangle is a symbol of ideal proportions and knowledge, reflecting the pursuit

of factual exactness, truth and exhaustive analysis. The dot at the centre represents

the intelligence factor and the focal point where information from diverse sources

converges to be processed, systematised and shared as analytical products. Thus,

Frontex risk analysis is meant to be at the centre and to form a reliable basis for its

operational activities.

European Agency for the Management of Operational Cooperationat the External Borders of the Member States of the European Union

Plac Europejski 600-844 Warsaw, PolandT +48 22 205 95 00F +48 22 205 95 [email protected]

Warsaw, March Risk Analysis UnitFrontex reference number: /

OPOCE Catalogue number TTAFENNISSN

© Frontex, 2016

All rights reserved. Reproduction is authorised provided the source is acknowledged.

DISCLAIMERS

This is a Frontex staff working document. This publication or its contents do not implythe expression of any opinion whatsoever on the part of Frontex concerning the legal

status of any country, territory or city or its authorities, or concerning the delimitation

of its frontiers or boundaries. All charts included in this report are the sole property of

Frontex and any unauthorised use is prohibited.

Throughout the report, references to Kosovo* are marked with an asterisk to indicate

that this designation is without prejudice to positions on status, and is in line with

UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.

ACKNOWLEDGMENTSThe FRAN Quarterly has been prepared by the Frontex Risk Analysis Unit. During the

course of developing this product, many colleagues at Frontex and outside contributed

to it and their assistance is hereby acknowledged with gratitude.


3/26

1 of 23

Table of contents

Introduction #2

Methodology #3

I. Situational overview #5

FRAN indicators #6

Surveillance #6

Summary table #8

II. Statistical annex #9

1 of 23

· 4 2015


4/26

FRAN Quarterly reports are prepared by

the Frontex Risk Analysis Unit (RAU) and

provide a regular overview of irregular mi-

gration at the EU external borders, based

on the irregular migration data exchanged

among Member State border-control au-

thorities within the cooperative frame-

work of the Frontex Risk Analysis Network

(FRAN) and its subsidiary, the European

Union Document-Fraud Risk Analysis Net-

work (EDF-RAN).

The main purpose of the FRAN Quarter-

lies is to provide:

1. feedback to the FRAN community in

the context of information exchange;

2. a periodic update to the situational pic-ture of irregular migration at EU level;

and

3. material for constructive discussion on

reporting protocols and related trends

and patterns.

This report is intended to simultaneously

serve two objectives: first – to provide a

clear summary of the situation at the ex-

ternal border of the EU, and second – to

serve as an archive for future reference

and comparative analyses.

Harmonising complex, multi-source mi-

gration data among Frontex and Member

States is an ongoing process. Therefore,

some of the more detailed data and trends

in this report should be interpreted with

caution and, where possible, cross-ref-

erenced with information from other

sources. The statistics should be under-

stood in the context of the different lev-

els of passenger flows passing throughdifferent border sections, the activities

of Member State border-control author-

ities undertaken to secure different bor-

der sections and widespread variation in

reporting and data-collection practices.

FRAN members and Member State risk

analysis experts and border-control au-

thorities are considered the primary cus-

tomers of these reports. In addition to

the discussions taking place during FRAN

meetings, Member State experts are in-

vited and actively encouraged to examine

and comment upon the data and analy-

ses presented here. Despite all efforts of

the Frontex RAU and Member State ex-

perts involved in data exchange and analy-

ses, it is conceivable that minor errors will

occur in these reports due to very chal-

lenging timelines and the growing volume

and complexity of the data and other in-

formation exchanged within the FRAN

community.

Introduction

2 of 23


5/26

The current 30th issue of the FRAN Quar-

terly is a comparative analysis of FRAN

data collected between October and

December 2015 and exchanged among

31 Member State border-control authori-

ties within the framework of the Frontex

Risk Analysis Network (FRAN). The report

presents the results of statistical analy-

sis of quarterly changes of eight irregu-

lar-migration indicators and one asylum

indicator, aggregated at the level of the

event. Analytical reports exchanged by

Member States were also used for inter-

pretative purposes and to provide quali-

tative information, as were other available

sources of information, such as Frontex

Joint Operations.

Precise definitions of Indicators 1 to 6,

aimed at harmonising the data exchanged

at EU level, were presented in the annexes

of the Q1 and Q2 reports in 2009 and so

are not repeated here.

The FRAN data exchange has been in

place since September 2008. Data are

exchanged through the ICONet Internet

platform, an interest group of the Euro-

pean Commission’s CIRCA server. Member

State monthly data are based on a coun-

try template prepared by the Frontex Risk

Analysis Unit. The deadline for submitting

data for each month was the 25th day of

the subsequent month, with the excep-

tion of the end-of-year data, which are

requested by 15 January each year. For

this 30th issue of the FRAN Quarterly, the

target for Member States to upload the

monthly data was thus 15 January 2016.

In principle, data submitted subsequent

to this date will be reflected in the next

FRAN Quarterly, except in cases where

clarification is needed in order to proceedwith comprehensive analysis.

In January 2012, the European Union

Document-Fraud Risk Analysis Network

(EDF-RAN) was formed as a specialist fo-

rum to oversee the exchange and analy-

ses of detections of document fraud at

the external borders and on all interna-

tional flights. The data were backdated and

merged with those exchanged under a pi-

lot Tailored Risk Analysis released in 2011.

At the beginning of 2014, Member States

started to regularly collect quantitative in-

formation on indicators related to second-

ary movements. In addition, in July 2014,

Frontex organised a workshop for Mem-

ber State experts to gather their exper-

tise and analyse available data. Their input

was essential for the analysis of intra-EU/

Schengen secondary movements of un-

documented migrants.

External borders refer to the borders be-

tween Member States and third countries.

The borders between Schengen AssociatedCountries (Liechtenstein, Norway, Iceland

and Switzerland) and third countries are

also considered as external borders. The

borders between Schengen Associated

Countries and Schengen Member States

are considered as internal borders. For the

indicators on detections of facilitators, ille-

gal stay and asylum, statistics are also re-

ported for detections at the land borders

Methodology

3 of 23

· 4 2015


6/26

between Schengen Member States and

Schengen candidates (Bulgaria, Croatia,

Cyprus and Romania) or non-Schengen

Member States (the UK and Ireland), so

that a total for Member States and Schen-

gen Associated Countries as a whole can

be presented. It was not possible to make

this distinction for air and sea borders be-

cause Member States do not habitually

differentiate between extra-EU and in-

tra-EU air and sea connections but tend

to aggregate data for all arrivals.

When data are examined at the level of

third-country nationalities, a large per-

centage usually falls under categories of

‘Other (not specified)’ or ‘Unknown’. It is

expected that the percentage reported

under these categories will decrease

with time as Member States improve

the quality and speed of their identifica-

tion, data collection and reporting prac-

tices: nationalities are often reported

as ‘Unknown’ if an individual’s national-

ity cannot be established before reports

are submitted.

Both primary data sources, such as inter-

views with irregular migrants, and sec-

ondary data sources, such as reports of

intelligence analysts, reports of deployed

officers and other analytical products were

used to provide an exhaustive overview

of the situation at the external borders

of the EU. Additionally, open-source data

were researched as background informa-

tion for the present analysis.

Acknowledgements

The Frontex Risk Analysis Unit would like

to express its gratitude to all FRAN and

EDF-RAN members and their associates

in Member State statistical, migration and

document-fraud units who collect, aggre-

gate and exchange monthly data.

4 of 23


7/26

I. S

5 of 23

· 4 2015


8/26

CentralMediterraneanroute

EasternMediterraneanroute

WesternBalkan route

Black Searoute

Eastern bordersroute

WesternMediterranean route

WesternAfrican route

Circular route fromAlbania to Greece

Detections of illegal border-crossing at the EU’s externalborders, Q4 2015

Number in parenthesis is for Q4 2014

Surveillance

Routes

F R A

FRAN indicators Latest situation

ILL

Detectionsof personsstaying illegally

Q Reported cases

Q dotted circles

Q solid circles

IBCB

Detectionsof illegalbordercrossingat BCPs

FAC

Detectionsoffacilitators

REF

Refusalsof entry

EDF

Detectionsoffraudulentdocumentusers

RETB

Returnseffective

RETA

Returnsdecisions

FRAN ASY

Asylum applicationsreported to FRAN

IBCA

Detections of illegalbordercrossingbetween BCPs

6 of 23

I. S


9/26

Monthly trends July to December

Reported cases

IBCA

IBCB

FAC

ILL

REF

RETA

RETB

EDF

Q

Q

FRAN ASY

TrendIn the fourth quarter of 2015, the indica-

tor of detections of illegal border-crossings

between BCPs reached its highest level

since the data exchange under the Fron-

tex Risk Analysis Network (FRAN) began

in 2007. It is also the first time that the

total number reported under this indica-

tor has increased between a third and a

fourth quarter.

In the past years, bad weather and rough

sea conditions have slowed down migra-

tion across the Mediterranean Sea with

the onset of autumn. In 2015, however,

the record level of irregular migration from

Turkey to the Aegean Islands in the sum-

mer months was followed by another 45%

increase in October in relation to Septem-

ber. In November, irregular migration in the

Eastern Mediterranean dropped by around

30%, and successively by one-third in De-

cember. In spite of this reduction, the num-

ber of illegal border-crossings reported by

Greece in December 2015 was more than50 times higher than one year before, ex-

ceeding 110 000.

As regards nationalities, 46% of all mi-

grants who have crossed the sea bor-

der from Turkey in Q4 2015 claimed to be

Syrians, while 28% stated to be from Af-

ghanistan. Compared to one year ago, the

numbers of irregular migrants from Iraq,

Iran and Pakistan have exponentially in-

creased, from over one hundred in Q4

2014 to over 100 000 during the report-ing period.

Detections on the Western Balkans route

closely followed the events in the Eastern

Mediterranean. Indeed, most migrants

who had entered the EU from Turkey were

reported for a second time when they

passed through the Western Balkans and

then crossed the external EU border from

Serbia to Croatia. Once in the EU, this flow

of irregular migration is reflected by con-

tinuously high numbers of detections of il-

legal stay in several Member States.

Compared to the high level of irregular

migration on the Central Mediterranean

route one year ago, the number of detec-

tions reported by Italy during Q4 2015 de-

creased by roughly one-third in relation

to the previous quarter. This lower level

of migration resulted from the fact that

in contrast to 2014, Syrians avoided the

dangerous sea crossing from North Africa.

Indeed, the number of non-Syrians choos-

ing this route was at about the same level

as in Q4 2014.

As usual, irregular migration on the Cen-

tral Mediterranean route slowed down

at the end of the summer due to adverse

weather and sea conditions and reached

a low in November. However, in Decem-

ber the Italian authorities reported risingnumbers again at a level that was three

times that of the month before. This sud-

den spike was caused by increased arrivals

of Horn of African and West African na-

tionals, especially from the Gambia, Eri-

trea, Nigeria and Senegal.

Somehow overshadowed by the migra-

tion to Greece, the level of irregular mi-

gration in the Western Mediterranean has

doubled compared to one year ago and

reached the highest level of any previousfourth quarter.

In spite of the unprecedented growth in

irregular migration including migrant na-

tionalities with very low asylum recogni-

tion rates, the number of effective returns

increased slightly but remained at a rel-

atively low level, i.e. fewer than 50 000

persons in Q4 2015.

7 of 23

· 4 2015


10/26

F R A

Summary tableTable 1. Detections of illegal border-crossing between BCPsDetections reported by routes and top three nationalities at the external borders

Routes

Q

% change on per centof total

Q Q Q Q Q Q year ago prev. Qtr

Eastern Mediterranean route

Sea

Syria .

Afghanistan

Iraq

Other

Land .

Syria

Iraq

Afghanistan

Other .

Western Balkan route

Not specified

Syria

Kosovo*

Other

Central Mediterranean route .

Nigeria

Eritrea

Somalia

Other

Western Mediterranean route .

Sea

Guinea

Algeria

Morocco Other

Land

Guinea

Cameroon

Morocco .

Other

Circular route from Albania to Greece . .

Albania .

FYR Macedonia .

Georgia .

Other .

Western African route .

Guinea

Côte d'Ivoire

Gambia .

Other

Eastern borders route .

Afghanistan

Vietnam .

Iraq

Other

Black Sea route n.a. n.a.

Afghanistan n.a. n.a.

Syria n.a. n.a.

Pakistan n.a. n.a.

Other n.a. n.a.

Other n.a. n.a.

China n.a. n.a.

Syria n.a. n.a.

Russian Federation n.a. n.a.

Other n.a.

Total

Source: FRAN data as of January

* This designation is without prejudice to positions on status, and is in line with UNSCR and the ICJ Opinion on the Kosovo declaration of independence.

8 of 23

I. S


11/26

II. S

LEGEND

Symbols and abbreviations: n.a. not applicable

: data not available

Source: FRAN and EDF-RAN data as of 22 January 2016,unless otherwise indicated

Note: ‘Member States’ in the tables refer to FRAN Member

States, including both 28 EU Member States

and three Schengen Associated Countries

9 of 23

· 4 2015


12/26

10 of 23

FRAN · 1 2015

Annex Table 1. Illegal border-crossing between BCPs

Detections at the external borders reported by border type and nationality

Q



All Borders

Not specified

Syria

Afghanistan

Iraq .

Iran .

Pakistan .

Morocco .

Somalia .

Nigeria .

Palestine .

Others .

Total All Borders

Land Borders

Not specified

Syria .

Albania . .

Iraq .

Afghanistan .

Guinea .

Kosovo* .

Turkey

Cameroon

Pakistan

Others .

Total Land Border

Sea Borders

Syria .

Afghanistan

Iraq

Iran .

Pakistan .

Morocco .

Somalia . .Nigeria .

Palestine .

Eritrea .

Others .

Total Sea Border

* This designation is without prejudice to positions on status, and is in line with UNSCR and the ICJ Opinion on the Kosovo declaration of independence.

10 of 23


13/26

11 of 23

Annex Table 2. Clandestine entries at BCPs

Detections reported by border type and top ten nationalities

Q



Border Type

Land .

Sea .

Top Ten Nationalities

Syria

Afghanistan

Algeria .

Iraq .

Morocco n.a. n.a. .

Palestine .

Guinea .

GuineaBissau n.a. n.a. .

Kosovo* n.a. .

Pakistan .

Others . .

Total .

* This designation is without prejudice to positions on status, and is in line with UNSCR and the ICJ Opinion on the Kosovo declaration of independence

Annex Table 3. Facilitators

Detections reported by place of detection and top ten nationalities

Q



Place of Detection

Land

Inland

Sea .

Land Intra EU .

Not specified . .

Air .


Morocco .

Not specified . .

Albania . .

Syria

Bulgaria . .

Turkey . .

China . .

Egypt .

Pakistan . .

France . .

Others .

Total -.

11 of 23

· 4 2015


14/26

12 of 23

FRAN · 1 2015

Annex Table 4. Illegal stay

Detections reported by place of detection and top ten nationalities

Q



Place of Detection

Inland

Air . .

Land . .

Land Intra EU .

Between BCPs .

Sea . .


Afghanistan

Syria

Iraq .

Morocco .

Iran .

Ukraine .

Albania . .

Eritrea . .

Pakistan .

Algeria . .

Others .

Total

12 of 23


15/26

13 of 23

Annex Table 5. Refusals of entry

Reasons for refusals of entry reported by Member State and by top ten nationalities at the external borders

Q



All Borders

Ukraine

Albania .

Russian Federation .

Serbia . .

Belarus . . .

Morocco . .

Bosnia and Herzegovina .

Brazil . .

Turkey . .

Moldova . .

Others

Total All Borders .

Land Borders

Ukraine


Albania

Serbia

Belarus . . .

Bosnia and Herzegovina .

Morocco .

Turkey

FYR Macedonia .

Tajikistan .

Others .

Total Land Border .

Air Borders

Albania .

Brazil . .

Algeria . .

Not specified .

China .

Nigeria .

United States .


Moldova .

Ukraine . . .

Others . .

Total Air Border .

Sea Borders

Albania .

Morocco

Tunisia .

Iraq .

Turkey .

Iran .

Syria

Algeria .

Ukraine .

Pakistan .

Others

Total Sea Border .

13 of 23

· 4 2015


16/26

14 of 23

FRAN · 1 2015

Annex Table 6. Reasons for refusals of entry

Reasons for refusals of entry reported by Member State and by top ten nationalities at the external borders

Refusedpersons

Total

Q Reasons for refusals of entry (see description below) TotalReasons

A B C D E F G H I n.a.


Ukraine

Albania

Russian Federation

Serbia

Belarus

Morocco

Bosnia and Herzegovina

Brazil

Turkey

Moldova

Others

Total 7 7 7 7 77

Descriptions of the reasons for refusal of entry: A has no valid travel documents;B has a false/counterfeit/forged travel document;C has no valid visa or residence permit;D has a false/counterfeit/forged visa or residence permit;E has no appropriate documentation justifying the purpose and conditions of stay;F has already stayed for three months during a six months period on the territory of the Member States of the EU;G does not have sufficient means of subsistence in relation to the period and form of stay, or the means to return to the country of origin or transit;H is a person for whom an alert has been issued for the purposes of refusing entry in the SIS or in the national register;I is considered to be a threat for public policy, internal security, public health or the international relations of one or more Member States of the EU.

14 of 23


17/26

15 of 23

Annex Table 7. Reasons for refusals of entry

Reasons for refusals of entry by border type at the external borders

Q

Highest share



All Borders Nationality

C No valid visa Russian Federation %

E No justification Ukraine %

Reason not available . Ukraine .%

G No subsistence . Albania %

H Alert issued . . Albania %

F Over month stay . . . Serbia %

A No valid document . Morocco %

I Threat . . Russian Federation %

B False document . . Not specified %

D False visa . Congo .%

Total All Borders -.

Land Borders Nationality

C No valid visa Russian Federation %

E No justification Ukraine %

G No subsistence . Albania %

H Alert issued . Albania %

F Over month stay . . . Serbia %

Reason not available . Ukraine %

A No valid document . . Morocco %

I Threat . Russian Federation %

B False document . Ukraine %

D False visa . . Cuba %

Total Land Border -.

Air Borders Nationality

Reason not available . Brazil %

E No justification Albania %

C No valid visa China .%

G No subsistence . Algeria %

H Alert issued . Albania %

A No valid document . Not specified %

F Over month stay . . Albania %

B False document . . Not specified %

I Threat . Suriname %

D False visa . Congo %

Total Air Border -.

Sea Borders Nationality

Reason not available Morocco %

G No subsistence Albania %

H Alert issued . . Albania %

E No justification Albania %

C No valid visa . Tunisia %

A No valid document . Iraq %

B False document . Syria %

I Threat . Albania %

D False visa . . Taiwan %

F Over month stay . Albania %

Total Sea Border .

15 of 23

· 4 2015


18/26

16 of 23

FRAN · 1 2015

Annex Table 8. Applications for asylum (FR AN)

Applications for international protection reported by Member State and top ten nationalities

Q




Syria .

Afghanistan

Iraq

Not specified .

Iran .

Albania .

Pakistan .

Eritrea .

Nigeria .

Russian Federation . .

Others .

Total .

Annex Table 9. Document fraudsters – external borders

Persons detected using fraudulent documents at BCPs on entry to the EU or Schengen area by Member State, border type and top ten nationalities

Q

Highest share



Border Type Nationality Claimed

Air . Not specified %

Land Ukraine %

Sea . . Morocco %

Not specified n.a. n.a.

Top Ten Nationalities Claimed Country of Issuance of Document

Not specified . Spain %Ukraine Poland %

Morocco . Spain %

Syria . Spain %

Albania . Spain %

Iran . . Spain %

Iraq . Bulgaria %

China . Spain %

Congo . France %

Nigeria . . UK %

Others Spain %

Total

16 of 23


19/26

17 of 23

Annex Table 10. Fraudulent documents – external borders

Detections of fraudulent documents on entry from third countries to the EU or Schengen area by type of documents and type of fraud

Q

Highest share



Document Type Nationality Document

Passports Not specified %

Forged Syria .%

Authentic France %

No more details Congo %

Counterfeit Spain .%

Stolen blank Germany %

Pseudo n.a. n.a.

ID cards Morocco %Counterfeit Italy %

Authentic Spain %

Forged Italy %

Stolen blank Italy %

No more details Italy %

Pseudo n.a. Italy %

Visas Ukraine %

Authentic Poland %

Counterfeit Spain %

No more details Germany %

Forged Spain %

Stolen blank Germany %

Pseudo n.a. n.a.

Residence permits Not specified %

Counterfeit Italy %

Authentic France %

Forged Italy %

No more details Germany %

Stolen blank Greece %

Pseudo n.a. n.a.

Stamps Poland %

Counterfeit Poland %

Forged Hungary %

No more details France %

Other Syria %

Counterfeit Syria %

Authentic Malta %Forged Poland %

Pseudo Not specified %

Stolen blank n.a. n.a. Italy %

No more details n.a. n.a.

Total

17 of 23

· 4 2015


20/26

18 of 23

FRAN · 1 2015

Annex Table 11A. Fraudulent documents – external borders

Detections of fraudulent documents on entry from third countries to the EU or Schengen area by document type and top ten combinations of country of issuance anddocument fraud

Q

Highest share



Document Type Nationality Claimed

Passports Not specified %

FRAAuthentic , Not specified %

ESPAuthentic , Morocco %

MARAuthentic . Syria %

MLIAuthentic . Not specified %

GRCForged . Greece %

SYRForged . Syria %

BGRForged . Syria %

COGNo more details . Congo %

SYRNo more details . Syria %

ZAFNo more details n.a. . Zimbabwe %

Others Not specified %

ID cards Morocco %

ESPAuthentic Morocco %

ITACounterfeit Bangladesh %

ITAStolen blank . Morocco %

BELCounterfeit . Morocco %

GRCCounterfeit . Greece %

ITAForged . Albania %

BGRCounterfeit . . Not specified %

FRAAuthentic . Not specified %

ROUCounterfeit . Not specified %

ITANo more details . Albania %

Others . Morocco %

Visas Ukraine %

POLAuthentic Ukraine %

ESPCounterfeit . Congo %

DEUCounterfeit . Armenia %

ITACounterfeit . Sri Lanka %

BELCounterfeit . Congo %

DEUNo more details n.a. . Iraq %

FRAAuthentic . Côte d'Ivoire %

LVAAuthentic . n.a. . Myanmar %

FRANo more details . Iraq %

ITAAuthentic . Not specified %

Others Not specified %

18 of 23


21/26

19 of 23

Q

Highest share



Document Type Nationality Claimed

Residence permits . Not specified %

ITACounterfeit Morocco %

FRAAuthentic Not specified %

ESPAuthentic Not specified %

ESPCounterfeit . Morocco %

ITAAuthentic . Not specified %

BELCounterfeit . Morocco %

DEUNo more details n.a. . Iraq %

ITAForged . . Bangladesh %

FRACounterfeit . Congo D.R. %

DEUAuthentic . Syria %

Others Iraq %

Stamps Ukraine %

POLCounterfeit Ukraine %

ITACounterfeit Russian Federation %

ESPCounterfeit Not specified %

FRACounterfeit . Not specified %

LTUCounterfeit n.a. . Ukraine %

SVKCounterfeit . Ukraine %

GRCCounterfeit . Albania %

HUNCounterfeit . Ukraine %

DEUCounterfeit . Serbia %TURCounterfeit . Not specified %

Others Albania %

Other . . Syria %

SYRCounterfeit n.a. Syria %

MLTAuthentic n.a. n.a. . Egypt %

GRCCounterfeit . Palestine %

CYPCounterfeit n.a. n.a. . India %

SVNCounterfeit n.a. n.a. . Albania %

ITACounterfeit . Serbia %

UKRCounterfeit n.a. n.a. . Ukraine %

EGYAuthentic n.a. n.a. . Egypt %

ROUCounterfeit n.a. . China %

JORForged n.a. n.a. . Iraq %

Others Ukraine %

Total

Annex Table 11B. Fraudulent documents – external borders

Detections of fraudulent documents on entry from third countries to the EU or Schengen area by document type and top ten combinations of country of issuanceand document fraud

19 of 23

· 4 2015


22/26

20 of 23

FRAN · 1 2015

Annex Table 12. Return decisions issued

Decisions issued by top ten nationalities

Q




Albania .

Afghanistan .

Iraq .

Morocco .

Ukraine .

Syria .

Pakistan . . .

India .

Algeria . .

Nigeria . .

Others .

Total .

Annex Table 13. Effective returns

People effectively returned to third countries by top ten nationalities

Q




Albania .

Ukraine

Iraq .

India . .

Kosovo** .

Serbia .

Morocco . .

Pakistan .Nigeria . .


Others . .

Total .

* Data from Austria for October, November and December are not yet available.** This designation is without prejudice to positions on status, and is in line with UNSCR and the ICJ Opinion on the Kosovo declaration of independence.

20 of 23


23/26

21 of 23

Annex Table 14. Effective returns by type of return

People effectively returned to third countries by to type of return and top ten nationalities

Q

Highest share



T R Nationality

Forced .

Enforced by Member State . Albania %

Not specified . Morocco %

Enforced by Joint Operation . Kosovo* %

Voluntary .

Others Ukraine %

IOM assisted . . Iraq %

Not specified . Iraq %

Not specified . . Albania %

Total .

T T N

Forced

Albania

Morocco .

Kosovo* .

Serbia .

Nigeria . . .

Tunisia .

Ukraine .

Algeria .

Vietnam .

India .

Others .

Total Forced Returns .

Voluntary

Ukraine

Iraq

India .

Albania

Pakistan .

Kosovo* .


Serbia . .

Bangladesh .

Nigeria . .

Others .

Total Voluntary Returns .

* This designation is without prejudice to positions on status, and is in line with UNSCR and the ICJ Opinion on the Kosovo declaration of independence

21 of 23

· 4 2015


24/26

22 of 23

FRAN · 1 2015

Annex Table 15. Passenger flow on entry (reported on a voluntary basis)

Data reported by Member State, border type and groups of nationalities

Q



Border Type

Air .

Land .

Sea .

Nationality

Not specified .

EU

Third country requiring visa .

Third country not requiring visa .

Total 7 7 7 7 .

* Data from Bulgaria for November and December are not yet available.** Data from Iceland for January, February and March are not available.

22 of 23


25/26

23 of 23

Notes on FRAN data sources and methods

The term ‘Member States’ refers to FRANMember States, which includes the 28

Member States and the three Schengen

Associated Countries (Iceland, Norway

and Switzerland). For the data concern-

ing detections at the external borders of

the EU, some of the border types are not

applicable to all FRAN Member States.

This pertains to data on all FRAN indica-

tors since the data are provided disaggre-

gated by border type. The definitions of

detections at land borders are therefore

not applicable (excluding borders with

non-Schengen principalities) for Belgium,

the Czech Republic, Denmark, France,

Germany, Iceland, Ireland, Italy, Luxem-

bourg, Malta, the Netherlands, Portu-

gal, Sweden, Switzerland and the UK.

For Cyprus, the land border refers to the

Green Line demarcation with the area

where the Government of the Repub-

lic of Cyprus does not exercise effective

control. For sea borders, the definitions

are not applicable for land-locked Mem-

ber States including Austria, the Czech

Republic, Hungary, Luxembourg, Slova-kia and Switzerland.

In addition, data on detections of illegalborder-crossing at land, air and sea BCPs

(1B) are not available for Iceland, Ireland

and Spain, and in Greece these detections

are included in the data for indicator 1A.

Data for Norway only include detections

of illegal border-crossing at land and sea

BCPs (1B), not between BCPs (1A).

Data on detections of illegal border-

crossing between sea BCPs (1A) are not

available for Ireland. For 2013, data from

Slovenia included detections at the EU

external borders only until June 2013. Data

from Spain at the land border with Mo-

rocco have been revised by reporting only

detections of persons crossing the border

irregularly by climbing the fence.

Data on apprehension (FRAN Indicator 2)

of facilitators are not available for Ire-

land and the UK. For Italy, the data are

not disaggregated by border type, but

are reported as total apprehensions (not

specified). Data for Italy and Norway also

include the facilitation of illegal stay andwork. For Romania, the data include land

Intra-EU detections on exit at the bor-

der with Hungary.

For the data concerning detections ofillegal stay (FRAN Indicator 3), data on

detections on exit are not available for

Denmark, Ireland, Italy and the UK. Data

on detections of illegal stay inland have

not been available from the Netherlands

since 2012. Data from Sweden for Illegal

stay have been revised starting with 2010.

Data on refusals of entry (FRAN Indica-

tor 4) at the external EU borders are not

disaggregated by reason of refusal for Ire-

land and the UK.

The data on passenger flow (shared on

voluntary basis) are not available for Aus-

tria, Cyprus, Greece, Ireland, Italy, Malta,

Sweden and the UK. Data on passenger

flow at the air border are not availa-

ble according to the definition for Spain.

Data at the sea border are not availa-

ble for Spain, the Netherlands, Romania

and Denmark.

For all indicators, data from Croatia are

available only starting with July 2013.

23 of 23

· 4 2015


26/26

European Agency for the Management

of Operational Cooperation

at the External Borders of the Member

States of the European Union

Plac Europejski 6

00-844 Warsaw, Poland

T +48 22 205 95 00

F +48 22 205 95 01

[email protected]

www.frontex.europa.eu

For Public Release

Risk Analysis Unit

Reference number: /

TTAFENNISSN

Warsaw, March

Documents

Frontex - laatste kwartaal 2015