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.

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, Coccothraustes coccothraustes. 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
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
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
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 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
BG
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
15000
30000
N/A
p
estimate
genuine
0.7
2007-2018 + N/A | N/A | (19) 1981-2018 x N/A 59500 3.2 2007-2018 + N/A | N/A | (23) 1981-2018 x N/A 56000 3.0
BE
8700
13300
11000
p
estimate
method
0.3
2008-2018 = -1 | 21 | (9) 1973-2018 + 55 | 138 | (96) # 28686 # 1.5 2008-2018 + N/A | N/A | (46.21) 1973-2018 + N/A | N/A | (51.2) 27700 1.5
BG
40000
150000
N/A
p
estimate
noChange
2.9
2001-2018 F N/A 1980-2018 = 0 | 5 | (N/A) 96302 5.2 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 100300 5.4
CZ
140000
280000
N/A
p
estimate
noChange
#
6.4
2007-2018 + N/A | N/A | (2) 1982-2018 - N/A | N/A | (-2) # 76800 4.1 2002-2016 = N/A | N/A | (1.69) 1986-2016 + N/A | N/A | (10.07000) # 74200 4.0
DE
205000
355000
N/A
p
estimate
genuine
8.6
2004-2016 = -29 | 29 | (-4) 1980-2016 = N/A | N/A | (12) 342217 18.3 2004-2016 - -30 | -11 | (N/A) 1980-2016 = -30 | 40 | (N/A) 353300 19.0
DK
N/A
N/A
13562
p
estimate
genuine
#
0.4
2006-2017 = -23.92 | 69.76 | (14.41) 1981-2017 = -36.68 | 23.51 | (-11.43) # 38500 2.1 1996-2017 + N/A | N/A | (15.96) 1974-2017 + N/A | N/A | (66.66) # 38400 2.1
EE
20000
35000
N/A
p
estimate
knowledge
0.8
2007-2018 = -74 | -14 | (N/A) 1983-2018 - -59 | -52 | (N/A) 39100 2.1 2007-2018 = 5 | 6 | (N/A) 1980-2018 + 31 | 42 | (N/A) 14700 0.8
ES
N/A
N/A
170126
p
minimum
knowledge
5.2
2007-2018 u -10 | 10 | (N/A) 1980-2018 u -10 | 10 | (N/A) 48385 2.6 2007-2018 = N/A 1980-2018 u -10 | 10 | (N/A) 50900 2.7
FI
1000
2000
1500
p
estimate
genuine
2007-2018 + N/A | N/A | (81) 1980-2018 + N/A 11500 0.6 N/A N/A N/A 1980-2010 + 173 | 173 | (N/A) 11500 0.6
FR
60000
100000
N/A
p
estimate
knowledge
#
2.5
2007-2018 + N/A | N/A | (43.8) 1989-2017 + N/A | N/A | (80) 194000 10.4 2009-2017 + 5 | 15 | (N/A) 1985-2017 + 5 | 25 | (N/A) 192000 10.3
GR
5000
20000
N/A
p
estimate
noChange
0.4
2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-28) 83400 4.5 2007-2018 x N/A 1980-2018 x N/A 78100 4.2
HR
200000
350000
N/A
p
estimate
N/A
8.4
2007-2018 x N/A 1980-2018 x N/A 54754 2.9 2007-2018 x N/A 1980-2018 x N/A 69100 3.7
HU
124000
174000
N/A
p
interval
genuine
#
4.6
2007-2018 = N/A 1980-2018 = N/A 77643 4.2 2007-2018 = N/A 1980-2018 = N/A # 78700 4.2
IT
5000
15000
N/A
p
estimate
noChange
0.3
2007-2018 x N/A 1993-2018 = N/A 70200 3.8 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 215 | 220 | (N/A) 69300 3.7
LT
30000
60000
N/A
p
estimate
noChange
1.4
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 3.9 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 71800 3.9
LU
3000
4000
N/A
p
estimate
noChange
#
0.1
2009-2018 u -10 | 110 | (N/A) 1980-2018 x N/A 936 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400 0.1
LV
64565
123000
89115
p
interval
method
2.7
2005-2018 + 60 | 310.8 | (158.5) 1991-2016 + 1512 | 1541 | (N/A) 49700 2.7 2000-2017 = N/A | N/A | (-1) 1980-2017 + N/A | N/A | (175) 48600 2.6
NL
12000
15000
N/A
p
estimate
genuine
0.4
2006-2017 + 116 | 171 | (142) 1984-2017 + 151 | 324 | (226) 32600 1.8 2000-2015 + N/A | N/A | (35.26) 1977-2015 + N/A | N/A | (141.48) 30200 1.6
PL
362000
486000
N/A
p
interval
genuine
13.0
2007-2018 + 13 | 45 | (28) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
5000
10000
N/A
p
estimate
noChange
#
0.2
2007-2018 x N/A 1980-2018 x N/A # 20300 # 1.1 2005-2018 = N/A | N/A | (-23) 1980-2018 = N/A # 20300 1.1
RO
812119
1346994
N/A
p
interval
method
33.1
2008-2018 u -7 | 2 | (N/A) 1980-2018 x N/A 180100 9.6 2007-2018 = N/A 1980-2018 = N/A 178000 9.6
SE
26000
45000
35000
p
estimate
genuine
1.1
2007-2018 + 56 | 171 | (106) 1980-2018 + 51 | 270 | (137) 222500 11.9 2007-2018 + 15 | 35 | (25) 1980-2018 + 150 | 200 | (175) 222400 12.0
SI
32200
45100
N/A
p
estimate
genuine
1.2
2008-2018 + N/A | N/A | (52.4) 1980-2018 x N/A 8700 # 0.5 2007-2018 x N/A 1980-2018 + N/A | N/A | (52) # 7700 0.4
SK
110000
220000
N/A
p
estimate
noChange
5.1
2007-2018 = N/A 1980-2018 = N/A 47390 2.5 2007-2018 = N/A 1980-2018 = N/A 49900 2.7
UK
500
1000
N/A
p
estimate
noChange
1989-2011 - -89 | -79 | (N/A) 1970-2011 - -93 | -87 | (N/A) 11300 0.6 1989-2009 - -64.13 | -64.13 | (N/A) 1970-2009 - -75.38 | -75.38 | (N/A) 11200 0.6
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 2150000 3720000 p + x 1910000 NE NE Secure A B Secure Coccothraustes coccothraustes