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 CY

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, Falco subbuteo. 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 estimatePartial
BG estimatePartial
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI estimatePartial
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI estimateExpert
SK estimatePartial
UK estimatePartial
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
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimatePartial
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
BG
CY
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
PT
RO
SE
SI
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
1000
1500
N/A
p
estimate
noChange
2.3
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 52600 2.6 2007-2018 = N/A | N/A | (2) 1981-2018 = N/A | N/A | (0) 50500 2.5
BE
550
950
750
p
estimate
method
1.4
2008-2018 x N/A 1973-2018 + 547 | 1018 | (782) 25171 # 1.3 2008-2018 + N/A | N/A | (17.38) 1973-2018 + N/A | N/A | (323.18) 24000 1.2
BG
600
1100
N/A
p
estimate
noChange
1.6
2000-2018 x N/A 1980-2018 + 5 | 10 | (N/A) 49840 2.5 2000-2018 + 5 | 10 | (N/A) 1980-2018 + 10 | 30 | (N/A) 51300 2.6
CY
5
70
N/A
p
estimate
noChange
#
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 1900 | 6900 | (N/A) 500 2007-2018 + N/A | N/A | (25) 1980-2018 x N/A 500
CZ
200
300
N/A
p
estimate
noChange
#
0.5
2006-2016 = N/A 1980-2018 x N/A # 34900 1.8 2002-2016 + N/A | N/A | (20.07000) 1986-2016 + N/A | N/A | (52.31) # 34300 1.7
DE
5000
7000
N/A
p
estimate
noChange
10.9
2004-2016 = N/A | N/A | (4) 1980-2016 = N/A | N/A | (14) 272450 13.6 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 277700 13.9
DK
N/A
N/A
20
p
estimate
noChange
#
2006-2017 = -16.66 | 101.07000 | (30.5) 1985-2017 + 37.97 | 722.71 | (241) # 2600 0.1 1996-2017 + N/A | N/A | (550) 1974-2017 + N/A | N/A | (225) # 2600 0.1
EE
700
900
N/A
p
estimate
genuine
1.4
2007-2018 = -10 | 24 | (N/A) 1987-2018 = -27 | 62 | (N/A) 36400 1.8 2007-2018 + 16 | 18 | (N/A) 1980-2018 = 2 | 4 | (N/A) 20800 1.0
ES
4270
4540
N/A
p
estimate
noChange
#
8.0
1998-2011 - N/A | N/A | (-63) 1980-2011 - N/A # 69328 3.5 1998-2011 - N/A 1980-2011 - N/A # 74200 3.7
FI
2542
3136
2763
p
interval
genuine
5.0
2007-2018 - 16 | 40 | (29) 1982-2018 + 20 | 60 | (39) 146100 7.3 N/A N/A N/A 1980-2010 + 32 | 32 | (N/A) 146100 7.3
FR
6949
11835
9121
p
interval
genuine
16.6
2005-2017 + 6 | 38 | (21) 1979-2017 x N/A 270100 13.5 2009-2018 = N/A 1985-2017 + N/A | N/A | (30) 269400 13.5
GR
1000
3000
N/A
p
estimate
knowledge
3.6
2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-33) 42800 2.1 2007-2018 x N/A 1980-2018 x N/A 41200 2.1
HR
500
600
N/A
p
estimate
N/A
1.0
2007-2018 x N/A 1980-2018 x N/A 48990 2.5 2007-2018 x N/A 1980-2018 x N/A 61000 3.0
HU
1600
2500
N/A
p
estimate
knowledge
#
3.7
2007-2018 = N/A 1998-2018 x N/A # 21396 # 1.1 2007-2018 = N/A 1980-2018 = N/A # 21900 1.1
IT
500
1000
N/A
p
estimate
noChange
1.4
2007-2018 x N/A 1993-2018 + N/A | N/A | (100) 89400 4.5 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 415 | 420 | (N/A) 89300 4.5
LT
700
1000
N/A
p
estimate
noChange
1.6
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 14200 0.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 14000 0.7
LU
20
25
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 + 200 | 400 | (N/A) 732 # 2007-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 3300 0.2
LV
670
11764
2610
p
interval
method
4.8
2014-2018 u -48.8 | 215.9 | (41) 1980-2018 x N/A 26100 1.3 2000-2017 = N/A | N/A | (-9) 1980-2017 + N/A | N/A | (63) 26100 1.3
NL
450
700
N/A
p
estimate
genuine
1.1
2006-2017 - -50 | -21 | (-37) 1984-2017 = -66 | 7 | (-39) # 31500 1.6 2000-2015 - N/A | N/A | (-12.01000) 1977-2015 = N/A | N/A | (2.6) 29900 1.5
PL
2000
2700
N/A
p
mean
genuine
4.3
2008-2018 = -42 | 3 | (-22) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100
250
N/A
p
estimate
method
#
0.3
2007-2018 x N/A 1980-2018 x N/A 7000 # 0.3 2005-2018 - N/A | N/A | (-61) 1980-2018 x N/A # 6900 0.3
RO
5000
15000
N/A
p
estimate
noChange
18.2
2007-2018 x N/A 1980-2018 x N/A 219800 11.0 2007-2018 x N/A 1980-2018 x N/A 217600 10.9
SE
3300
3700
3500
p
estimate
genuine
6.4
2007-2018 + 40 | 60 | (50) 1980-2018 + 25 | 75 | (50) 405600 20.3 2007-2018 = N/A 1980-2018 + 10 | 20 | (15) 405400 20.3
SI
300
600
N/A
p
estimate
noChange
0.8
2002-2017 x N/A 1980-2017 x N/A 9100 # 0.5 2007-2018 x N/A 1980-2018 + N/A | N/A | (165) # 8200 0.4
SK
600
1000
N/A
p
estimate
noChange
1.4
2007-2018 - -10 | 0 | (N/A) 1980-2018 - -20 | -10 | (N/A) 19812 1.0 2007-2018 = N/A 1980-2018 = N/A 21300 1.1
UK
N/A
N/A
2071
p
estimate
genuine
3.8
2001-2016 + N/A | N/A | (13) 1978-2016 + N/A | N/A | (451) # 103300 5.2 1989-2009 + 64.75 | 64.75 | (N/A) 1970-2009 + 298.84 | 298.84 | (N/A) 102800 5.1
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 40600 74300 p = + 1770000 NE NE Secure A B Secure Falco subbuteo