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 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 milvus. 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 completeSurvey
BE completeSurvey
BG
CZ completeSurvey
DE completeSurvey
DK completeSurvey
ES completeSurvey
FR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV completeSurvey
PL completeSurvey
PT estimatePartial
SE estimatePartial
SK completeSurvey
UK 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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
ES completeSurvey
FR completeSurvey
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU completeSurvey
LV completeSurvey
PL absentData
PT estimatePartial
SE estimatePartial
SK completeSurvey
UK 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 estimateExpert
BG estimateExpert
CZ
DE
DK
ES completeSurvey
FR completeSurvey
HU
IE
IT estimatePartial
LT
LU
LV
PL
PT estimatePartial
SE
SK
UK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
90
130
N/A
p
estimate
genuine
0.3
2007-2018 + 200 | 300 | (N/A) 1981-2018 + 1000 | 2000 | (N/A) 5000 0.7 2007-2018 + N/A | N/A | (50) 1981-2018 + 400 | 600 | (N/A) 4600 0.6
BE
360
420
390
p
estimate
genuine
#
1.2
2008-2018 + 100 | 133 | (117) 1973-2018 + 10186 | 11900 | (11043) 12120 # 1.7 2008-2018 + N/A | N/A | (85.01000) 1973-2018 + N/A | N/A | (458.53) 5 10 N/A i estimate noChange 2008-2018 = N/A 1980-2018 = N/A I 22600 3.0
BG
0 1 N/A i estimate noChange 2007-2018 x N/A 1980-2018 x N/A I
CZ
160
190
175
p
estimate
genuine
0.6
2007-2018 + N/A | N/A | (20) 1980-2018 + N/A | N/A | (300) # 39200 5.4 2002-2016 + N/A | N/A | (93.82) 1986-2016 + N/A | N/A | (231.73) # 38100 5.1
DE
14000
16000
N/A
p
mean
genuine
46.8
2004-2016 = N/A | N/A | (10) 1988-2016 = N/A | N/A | (-16) 273076 37.4 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 280700 37.5
DK
134
200
200
p
estimate
genuine
#
0.6
2006-2017 + 282 | 700 | (N/A) 1980-2017 + 1814 | 2757 | (N/A) # 16900 2.3 1996-2017 + N/A | N/A | (382) 1974-2017 + N/A | N/A | (8350) # 16800 2.2
ES
2313
2441
2313
p
estimate
method
#
7.2
2004-2018 = N/A 1980-2018 - N/A | N/A | (-30.63) 83398 11.4 2001-2012 = N/A 1980-2012 - N/A | N/A | (-40) N/A N/A 50567 i estimate genuine 77.6 2004-2014 + N/A | N/A | (41) 1980-2014 - N/A | N/A | (-24) I 87000 11.6
FR
3000
3900
3400
p
minimum
genuine
10.6
2003-2015 + 26 | 135 | (72) 1980-2017 x N/A 93100 12.8 2009-2018 + 20 | 30 | (N/A) 1985-2018 + 1 | 10 | (N/A) 9400 11900 10700 i mean knowledge 16.4 2007-2018 x N/A 1980-2018 x N/A I 92400 12.3
HU
9
12
N/A
p
estimate
knowledge
#
2008-2018 + N/A | N/A | (20) 1990-2018 + N/A | N/A | (950) # 578 2007-2018 = N/A 1990-2018 + N/A | N/A | (478) # 900 0.1
IE
N/A
N/A
63
p
estimate
genuine
#
0.2
2012-2018 + N/A | N/A | (435.3) 1991-2018 + N/A # 1600 # 0.2 2012-2018 + N/A | N/A | (45.5) 1980-2018 + N/A # 1600 0.2
IT
425
515
N/A
p
estimate
genuine
1.5
2007-2018 + 20 | 35 | (N/A) 1993-2018 + 415 | 510 | (N/A) 22100 3.0 2007-2018 + 10 | 15 | (N/A) 1993-2018 + 155 | 160 | (N/A) 1537 1711 N/A i estimate genuine 2.5 2009-2016 + 5 | 15 | (N/A) 1986-2017 + 10 | 210 | (N/A) I 22100 3.0
LT
35
55
N/A
p
estimate
genuine
0.1
2013-2018 + 60 | 75 | (N/A) 1980-2018 + 3400 | 5400 | (N/A) 2400 0.3 2006-2018 + 3000 | 5000 | (N/A) 1980-2018 + 3500 | 5500 | (N/A) 2400 0.3
LU
N/A
N/A
90
p
estimate
genuine
#
0.3
2007-2018 + 35 | 40 | (N/A) 1980-2018 + 650 | 800 | (N/A) 1796 # 0.2 2007-2018 = 0 | 10 | (N/A) 1980-2018 + 0 | 30 | (N/A) 2400 0.3
LV
7
20
15
p
estimate
genuine
2012-2018 + 216.42 | 311.12 | (265.15) 1991-2017 + 354 | 862 | (N/A) 1300 0.2 2000-2017 + N/A | N/A | (333) 1980-2017 + N/A | N/A | (550) 1300 0.2
PL
1500
2100
N/A
p
mean
genuine
5.6
2008-2018 + 39 | 143 | (84) 1980-2018 + 270 | 320 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
50
100
N/A
p
estimate
noChange
0.2
2007-2018 x N/A 1980-2018 x N/A 6700 # 0.9 2005-2018 - N/A | N/A | (-50) 1980-2018 - N/A # 2000 2500 N/A i estimate method # 3.5 2007-2018 - N/A 1980-2018 x N/A I 6400 0.8
SE
3100
4100
3500
p
estimate
genuine
10.9
2007-2018 + 50 | 100 | (70) 1980-2018 + 2200 | 3200 | (2700) 97000 13.3 2007-2018 + 40 | 60 | (50) 1980-2018 + 400 | 600 | (500) 97000 12.9
SK
22
27
N/A
p
estimate
genuine
2007-2018 = N/A 1980-2018 - -30 | -20 | (N/A) 1227 0.2 2007-2018 - -30 | -20 | (N/A) 1980-2018 - -60 | -50 | (N/A) 1300 0.2
UK
N/A
N/A
4388
p
estimate
genuine
#
13.7
2004-2016 + N/A | N/A | (403.74) 1980-2016 + N/A | N/A | (10011) 72300 9.9 1989-2009 + 750.59 | 750.59 | (N/A) 1970-2009 + 2026.47 | 2026.47 | (N/A) 71700 9.6
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 29700 34800 p + + 729000 NE NE 63500 66700 i + x Secure Secure A B Near Threatened Milvus milvus