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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, Poecile montanus. 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 estimateExpert
DK completeSurvey
EE estimateExpert
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
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
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
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
CZ
DE
DK
EE
FI
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
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
100000
150000
N/A
p
estimate
noChange
4.8
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 71000 4.2 2007-2018 = N/A | N/A | (6) 1981-2018 x N/A 66800 4.0
BE
5300
10600
7900
p
estimate
genuine
0.3
2008-2018 - -56 | -12 | (-34) 1973-2018 - -72 | -44 | (-58) 27947 # 1.6 2008-2018 = N/A | N/A | (1.52) 1973-2018 - N/A | N/A | (-6.16) 27500 1.6
BG
25000
50000
N/A
p
estimate
noChange
1.4
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 20877 1.2 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 21300 1.3
CZ
45000
90000
N/A
p
estimate
noChange
#
2.6
2007-2018 u N/A | N/A | (-3) 1982-2018 + N/A | N/A | (1) # 59600 3.5 2002-2016 = N/A | N/A | (1) 1986-2016 + N/A | N/A | (17) # 56900 3.4
DE
64000
120000
N/A
p
estimate
genuine
3.5
2004-2016 - N/A | N/A | (-16) 1980-2016 = N/A | N/A | (-16) 327599 19.2 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 338200 20.1
DK
N/A
N/A
500
p
estimate
noChange
#
2006-2017 u N/A 1980-2017 + 21491.33 | 207160.84 | (67930.69) # 6400 0.4 1996-2017 + N/A | N/A | (204.76) 1974-2017 + N/A # 6300 0.4
EE
70000
100000
N/A
p
estimate
knowledge
3.2
2007-2018 = N/A 1980-2018 - -50 | -20 | (N/A) 49800 2.9 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 8 | 9 | (N/A) 17100 1.0
FI
444301
670203
540270
p
mean
genuine
20.6
2007-2018 - 36 | 50 | (44) 1980-2018 - 43 | 62 | (53) 278100 16.3 N/A N/A N/A 1980-2010 + 5 | 5 | (N/A) 277800 16.5
FR
100000
200000
N/A
p
estimate
method
5.7
2007-2018 x N/A 2002-2017 - -55 | -50 | (N/A) 89300 5.2 2013-2018 = -6 | 12 | (N/A) 1989-2018 - N/A | N/A | (-34) 86900 5.2
GR
200
1000
N/A
p
estimate
noChange
2007-2015 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 12900 0.8 2007-2018 x N/A 1980-2018 x N/A 12000 0.7
HR
60000
150000
N/A
p
estimate
N/A
4.0
2007-2018 x N/A 1980-2018 x N/A 3161 0.2 2007-2018 x N/A 1980-2018 x N/A 11400 0.7
HU
1000
1500
N/A
p
estimate
genuine
#
2007-2018 - -40 | -33 | (N/A) 1980-2018 x N/A # 6649 0.4 2007-2018 = N/A 1980-2018 x N/A 7200 0.4
IT
30000
50000
N/A
p
estimate
noChange
1.5
2000-2014 = N/A 1993-2018 = N/A 41400 2.4 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 5 | 10 | (N/A) 39800 2.4
LT
50000
85000
N/A
p
estimate
noChange
2.6
2013-2018 = N/A 1980-2018 = N/A 23900 1.4 2006-2018 = N/A 1980-2018 = N/A 23400 1.4
LU
2000
4000
N/A
p
estimate
noChange
#
0.1
2007-2018 = 0 | 10 | (N/A) 1980-2018 - -40 | -20 | (N/A) # 525 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1
LV
104025
207619
146961
p
interval
method
5.6
2005-2018 u -51.8 | 11.6 | (-26.2) 1991-2016 - N/A | N/A | (-31) 57900 3.4 2000-2017 = N/A | N/A | (-7) 1980-2017 = N/A | N/A | (18) 57000 3.4
NL
10000
15000
N/A
p
estimate
knowledge
0.5
2006-2017 - -25 | -8 | (-17) 1984-2017 - -66 | -52 | (-60) 29900 1.8 2000-2015 - N/A | N/A | (-11.53) 1977-2015 - N/A | N/A | (-13.33) 27500 1.6
PL
230000
292000
N/A
p
interval
method
9.9
2007-2018 = -19 | 20 | (-1) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
130418
318717
N/A
p
interval
method
8.6
2007-2018 x N/A 1980-2018 x N/A 47400 2.8 2007-2018 = N/A 1980-2018 = N/A 47400 2.8
SE
486000
597000
542000
p
estimate
genuine
20.6
2007-2018 - -39 | -25 | (-32) 1980-2018 - -74 | -68 | (-71) 459300 26.9 2007-2018 = N/A 1980-2018 = N/A 457400 27.2
SI
17000
32000
N/A
p
estimate
noChange
#
0.9
2008-2012 x N/A 1980-2018 x N/A 5200 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (93) # 4900 0.3
SK
60000
120000
N/A
p
estimate
knowledge
3.4
2007-2018 = N/A 1980-2018 = N/A 31997 1.9 2007-2018 = N/A 1980-2018 = N/A 34500 2.0
UK
N/A
N/A
2759
p
estimate
genuine
#
0.1
2004-2016 - N/A | N/A | (-54.85) 1980-2016 - N/A | N/A | (-90.5) # 55800 3.3 1989-2009 - -49.27 | -49.27 | (N/A) 1970-2009 - -54.26 | -54.26 | (N/A) 55500 3.3
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 2050000 3550000 p - - 1650000 NE NE Near Threatened C B Threatened Poecile montanus