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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.

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.

Current selection: 2013-2018, Falco tinnunculus. 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 estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimatePartial
ES completeSurvey
ESIC estimatePartial
FI estimatePartial
FR completeSurvey
GIB completeSurvey
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTMA estimatePartial
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimatePartial
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 estimatePartial
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC absentData
FI completeSurvey
FR completeSurvey
GIB completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTMA completeSurvey
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 estimateExpert
CY
CZ
DE
DK
EE
ES
ESIC
FI
FR
GIB
GR
HR
HU
IE
IT
LT
LU
LV
MT
NL
PL
PT
PTMA
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
6500
10500
N/A
p
estimate
method
2.3
2007-2018 = N/A | N/A | (5) 1981-2018 x N/A 91400 2.7 2007-2018 + N/A | N/A | (15) 1981-2018 x N/A | N/A | (0) 84200 2.4
BE
5200
8000
6600
p
estimate
genuine
1.8
2008-2018 + -5 | 56 | (21) 1973-2018 + 271 | 471 | (371) # 30648 # 0.9 2008-2018 = N/A 1973-2018 = N/A 31900 0.9
BG
4400
9600
N/A
p
estimate
noChange
1.9
2001-2018 = 0 | 5 | (N/A) 1980-2018 + 400 | 1000 | (N/A) 95163 2.8 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 10000 15000 N/A i estimate noChange N/A 2007-2018 = N/A 1980-2018 = N/A other 97600 2.8
CY
3300
5500
N/A
p
estimate
genuine
#
1.2
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 7900 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 7900 0.2
CZ
9000
13000
N/A
p
estimate
noChange
#
3.0
2007-2018 = N/A | N/A | (1) 1982-2018 + N/A | N/A | (1) # 80300 2.4 2002-2016 = N/A | N/A | (-0.96) 1986-2016 = N/A | N/A | (0.48) # 76500 2.2
DE
44000
73000
N/A
p
mean
noChange
15.9
2004-2016 = N/A | N/A | (-1) 1980-2016 = N/A | N/A | (-11) 353604 10.4 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 368000 10.6
DK
N/A
N/A
1775
p
estimate
genuine
#
0.5
2006-2017 = -42.63 | 38.07000 | (-10.28) 1980-2017 = -30.78 | 31.38 | (-4.51) # 49300 1.4 1996-2017 = N/A | N/A | (-3.89) 1974-2017 + N/A | N/A | (17.38) # 49300 1.4
EE
700
900
N/A
p
estimate
genuine
0.2
2007-2018 + -11 | 59 | (N/A) 1987-2018 = -30 | 157 | (N/A) 18100 0.5 2007-2018 = N/A | N/A | (1) 1980-2018 - N/A | N/A | (-54) 18100 0.5
ES
20000
24000
N/A
p
estimate
noChange
6.0
2007-2018 - -2.9 | -1.2 | (-2.1) 1980-2018 - N/A 226766 6.7 2007-2018 - N/A 1980-2018 - N/A 236000 6.8
ESIC
2500
10000
N/A
p
minimum
noInfo
#
1.7
2007-2018 x N/A 1980-2018 x N/A # 11700 0.3 2007-2018 + N/A | N/A | (13) 1980-2018 x N/A # 800
FI
5739
7816
6696
p
interval
noChange
1.8
2007-2018 = -12 | 4 | (-4) 1982-2018 + 284 | 432 | (352) 198100 5.8 N/A N/A N/A 1980-2010 + 44 | 44 | (N/A) 197900 5.7
FR
86470
100335
93087
p
interval
method
25.3
2005-2017 - N/A | N/A | (-9) 2001-2018 - N/A | N/A | (-19) 516900 15.2 2009-2018 = N/A | N/A | (0) 1985-2018 = N/A | N/A | (0) 512700 14.8
GIB
8
11
11
p
mean
noChange
2001-2018 = 0 | 0 | (0) 1980-2018 + 8 | 11 | (11) 6 2007-2018 = 0 | 0 | (0) 1980-2018 = 8 | 11 | (11) 200
GR
7000
15000
N/A
p
estimate
knowledge
3.0
2007-2018 + N/A | N/A | (46) 1980-2018 + N/A | 50 | (120) 204000 6.0 2007-2018 x N/A 1980-2018 x N/A 201300 5.8
HR
9000
10000
N/A
p
estimate
N/A
2.6
2007-2018 x N/A 1980-2018 x N/A 27451 0.8 2007-2018 x N/A 1980-2018 x N/A 73000 2.1
HU
7000
10000
N/A
p
estimate
knowledge
#
2.3
2007-2018 = N/A 1980-2018 + 67 | 150 | (N/A) 52573 1.6 2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 59500 1.7
IE
9918
17393
13500
i
interval
genuine
#
N/A
2006-2016 - -38.4 | -16.5 | (-28.2) 1980-2016 x N/A # 48100 # 1.4 2006-2016 - N/A | N/A | (-31) 1972-2016 - N/A | N/A | (-34.5) # 47700 1.4
IT
8000
12000
N/A
p
estimate
noChange
2.7
2012-2017 + 0 | 10 | (N/A) 1993-2018 + 20 | 60 | (N/A) 305400 9.0 2007-2018 = N/A 1993-2018 + 40 | 45 | (N/A) 304200 8.8
LT
150
200
N/A
p
estimate
knowledge
2013-2018 = N/A 1980-2018 + 100 | 170 | (N/A) 4300 0.1 2006-2018 + 10 | 20 | (N/A) 1980-2018 + 40 | 50 | (N/A) 4300 0.1
LU
500
700
N/A
p
estimate
noChange
#
0.2
2007-2018 = 0 | 0 | (N/A) 1980-2018 - -20 | -10 | (N/A) 1351 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
238
5439
924
p
interval
method
0.2
2014-2018 + 107.5 | 592.8 | (296.7) 1980-2018 x N/A 10700 0.3 2000-2017 = N/A | N/A | (5) 1980-2017 = N/A | N/A | (15) 10700 0.3
MT
0
2
N/A
p
estimate
genuine
#
2008-2018 + N/A | N/A | (100) 1980-2018 - N/A | N/A | (-40) # 4 2008-2018 + N/A | N/A | (75) 1980-2018 F N/A 200
NL
3000
6000
N/A
p
estimate
knowledge
1.2
2006-2017 - -40 | -24 | (-32) 1984-2017 - -58 | -33 | (-47) 42000 1.2 2000-2015 = N/A | N/A | (-4.76) 1977-2015 = N/A | N/A | (-3.44) 38900 1.1
PL
4400
5400
N/A
p
mean
genuine
1.3
2007-2018 = -8 | 36 | (12) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1500
3000
N/A
p
estimate
noChange
#
0.6
2004-2018 = N/A 1980-2018 x N/A 55400 # 1.6 2005-2018 = N/A | N/A | (-10) 1980-2018 = N/A # 86600 2.5
PTMA
1000
5000
N/A
p
estimate
noChange
#
0.8
2008-2018 - 49 | 71 | (N/A) 1980-2018 + N/A | N/A | (1) 1900 2001-2018 = N/A 1980-2018 x N/A 2000
RO
20000
50000
N/A
p
estimate
noChange
9.5
2008-2018 u -12 | 6 | (N/A) 1980-2018 x N/A 237400 7.0 2007-2018 = N/A 1980-2018 = N/A 232500 6.7
SE
8400
10900
9600
p
estimate
genuine
2.6
2007-2018 + 30 | 70 | (50) 1980-2018 + 100 | 300 | (200) 409600 12.0 2007-2018 = N/A 1980-2018 = N/A 408200 11.7
SI
2000
2500
N/A
p
estimate
noChange
0.6
2008-2018 = N/A | N/A | (-5.8) 1980-2018 x N/A 15200 # 0.5 2007-2018 x N/A 1980-2018 + N/A | N/A | (75) # 13500 0.4
SK
6000
10000
N/A
p
estimate
noChange
2.2
2007-2018 = N/A 1980-2018 = N/A 49020 1.4 2007-2018 = N/A 1980-2018 = N/A 53600 1.5
UK
N/A
N/A
31192
p
estimate
noInfo
8.5
2004-2016 - N/A | N/A | (-31.55) 1980-2016 - N/A | N/A | (-50.02000) # 257600 7.6 1989-2009 = N/A 1970-2009 - -5.57 | -5.57 | (N/A) # 256000 7.4
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 308000 477000 p - - 3160000 NE NE 10000 15000 i NE NE Secure Not evaluated A B Secure Falco tinnunculus