Article 12 web tool

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Population status and trends at the EU and Member State levels

The Article 12 web tool provides an access to EU assessments and Member States’ data compiled as part of the Habitats Directive - Article 12 reporting process. The EU assessments have been carried out in EU 27 for the period 2008-2012 and in EU28 for the period 2013-2018.

Choose period, species and if relevant sub-specific unit.

Once a selection has been made the breeding distribution of the species can be visualized in a map.

The ‘Data sheet info’ includes notes for each assessment per species.

The ‘Audit trail’ includes the methods used for the EU assessment and justifications for decisions made by the assessors.

Warning: The map does not show the distribution for sensitive species in GR, LT, LU

Legend
+
Increasing
=
Stable
x
Unknown
-
Decreasing
F
Fluctuating
u
Uncertain

Codes ‘PT’, ‘ES ‘correspond to Portugal mainland (excluding Azores-PTAC and Madeira-PTMA) and Spain mainland (excluding Canary Islands-ESIC) respectively.
Similarly ‘UK’ stands for the United Kingdom of Great Britain and Northern Ireland (excluding Gibraltar-GIB).
The data from delayed delivery by Romania were not used for the EU population status assessment.

Sensitive spatial information for this species is not shown in the map. Current selection: 2013-2018, Milvus migrans. Show all
Data from Member States reports
MS Breeding population Breeding distribution Winter population Breeding area from
gridded maps (km2)
Ssp. / subsp. unit
Population size Population trend Distribution size Distribution trend Population size Population trend
Min
Mouse-over texts for entries below show "Method used" reported for population size as a whole:
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT estimatePartial
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
ES estimatePartial
FI estimateExpert
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV estimatePartial
PL completeSurvey
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI estimatePartial
SK completeSurvey
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude
Mouse-over texts for entries below show "Method used" reported for distribution surface area (in km²):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT completeSurvey
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimatePartial
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU completeSurvey
LV completeSurvey
PL absentData
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI absentData
SK completeSurvey
Area
% MS ST period ST direction ST magnitude LT period LT direction LT magnitude Min
Mouse-over texts below show "Method used" reported for population size value(s):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT
BE
BG estimateExpert
CZ
DE
ES
FI
FR
GR
HR
HU
IT
LT
LU
LV
PL
PT
RO
SE
SI
SK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
100
140
N/A
p
estimate
genuine
0.2
2007-2018 + 25 | 40 | (N/A) 1981-2018 + 30 | 50 | (N/A) 14600 1.6 2007-2018 + N/A | N/A | (95) 1981-2018 + 20 | 40 | (N/A) 13800 1.4
BE
70
82
76
p
estimate
genuine
#
0.1
2008-2018 + 17 | 37 | (27) 1973-2018 + 2233 | 2633 | (2433) 5842 # 0.6 2008-2018 + N/A | N/A | (698.09000) 1973-2018 + N/A | N/A | (902.06000) 22500 2.3
BG
140
170
N/A
p
estimate
noChange
0.3
2001-2018 = 0 | 0 | (N/A) 1980-2018 - -100 | -100 | (N/A) 12790 1.4 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 50 100 N/A i estimate noChange 100.0 2007-2018 x N/A 1980-2018 x N/A I 13200 1.4
CZ
40
60
N/A
p
estimate
noChange
2007-2018 = N/A 1985-2015 = N/A # 21300 2.3 2002-2016 + N/A | N/A | (72.32) 1986-2016 + N/A | N/A | (138.27) # 20800 2.1
DE
6500
9500
N/A
p
estimate
genuine
14.0
2004-2016 = N/A | N/A | (8) 1980-2016 = -30 | 40 | (N/A) 213619 22.7 2004-2016 = -10 | 10 | (0) 1980-2016 + 41 | 180 | (N/A) 218500 22.4
ES
N/A
N/A
15522
p
estimate
knowledge
#
27.1
2007-2018 + 1.3 | 3.5 | (2.4) 1980-2018 = N/A 221171 23.5 2007-2018 + N/A 1980-2018 = N/A 232200 23.8
FI
10
25
15
p
estimate
knowledge
2007-2018 = N/A 1986-2018 + N/A 2400 0.2 N/A N/A N/A 1980-2010 + 64 | 64 | (N/A) 2400 0.2
FR
25973
33106
29338
p
estimate
method
51.3
2005-2017 + 19 | 67 | (43) 2001-2018 + N/A | N/A | (109) # 291400 30.9 2009-2018 = N/A | N/A | (5) 1985-2017 + N/A | N/A | (20) 289700 29.7
GR
20
40
N/A
p
estimate
knowledge
2007-2018 x N/A 1980-2018 x N/A 15300 1.6 2007-2018 x N/A 1980-2018 x N/A 13300 1.4
HR
90
120
N/A
p
estimate
N/A
0.2
2007-2018 x N/A 1980-2018 x N/A 18946 2.0 2013-2018 x N/A 1980-2018 x N/A 22100 2.3
HU
121
169
N/A
p
estimate
knowledge
#
0.2
2007-2018 = N/A 1980-2018 x N/A # 4317 0.5 2007-2018 = N/A 1980-2018 x N/A # 5200 0.5
IT
860
1153
N/A
p
estimate
method
1.8
2007-2018 x N/A 1993-2018 + 15 | 25 | (N/A) 65000 6.9 2007-2018 = N/A 1993-2018 + 120 | 125 | (N/A) 65000 6.7
LT
80
120
N/A
p
estimate
genuine
0.2
2013-2018 + 0 | 5 | (N/A) 1980-2018 - -50 | -40 | (N/A) 3900 0.4 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 3900 0.4
LU
N/A
N/A
106
p
estimate
genuine
#
0.2
2007-2018 + 71 | 77 | (N/A) 1980-2018 + 1000 | 1200 | (N/A) 1384 # 0.1 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 30 | 50 | (N/A) 2900 0.3
LV
49
74
N/A
p
estimate
genuine
0.1
2012-2018 + 97.85 | 126.95 | (112.9) 1991-2017 + 72 | 103 | (N/A) 3800 0.4 2000-2017 = N/A | N/A | (6) 1980-2017 x N/A 3800 0.4
PL
600
1000
N/A
p
mean
genuine
1.4
2008-2018 u -19 | 91 | (26) 1980-2018 + 20 | 40 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1000
2000
N/A
p
estimate
noChange
#
2.6
2007-2018 x N/A 1980-2018 x N/A 39600 # 4.2 2005-2018 - N/A | N/A | (-32) 1980-2018 = N/A # 38500 4.0
RO
0
5
N/A
p
estimate
knowledge
2007-2018 x N/A 1980-2018 - -95 | -5 | (N/A) 400 2007-2018 = N/A 1980-2018 - -100 | -95 | (N/A) 400
SE
15
25
20
p
estimate
genuine
2007-2018 + 50 | 150 | (100) 1980-2018 + 200 | 400 | (300) 4900 0.5 2007-2018 + 50 | 150 | (100) 1980-2018 + 50 | 250 | (150) 4900 0.5
SI
10
21
N/A
p
estimate
knowledge
2002-2017 = N/A 1980-2017 + 100 | 560 | (N/A) # 1100 # 0.1 2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (1700) # 1100 0.1
SK
15
18
N/A
p
estimate
genuine
2007-2018 - -50 | -30 | (N/A) 1980-2018 - -80 | -50 | (N/A) 796 2007-2018 - -40 | -30 | (N/A) 1980-2018 - -60 | -40 | (N/A) 900
EU population status assessments
Breeding population Breeding distribution Winter population EU population
status
Contribution
to Target 1
Season Previous status Ssp. / subsp. unit
Population size (min) Population size (max) Unit Short-term trend Long-term trend Area Short-term trend Long-term trend Population size (min) Population size (max) Unit Short-term trend Long-term trend Breeding Wintering
EU28 51300 63500 p + + 942000 NE NE 50 100 i NE NE Secure Not evaluated A B Secure Milvus migrans