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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, Motacilla cinerea. 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
ES estimatePartial
ESIC estimateExpert
FI estimatePartial
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE completeSurvey
IT estimateExpert
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL estimatePartial
PT estimatePartial
PTAC estimatePartial
PTMA 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
ESIC absentData
FI completeSurvey
FR completeSurvey
GIB
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
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 completeSurvey
DE
DK
EE
ES
ESIC
FI
FR
GIB estimatePartial
GR
HR
HU
IE
IT
LU
LV
NL
PL
PT
PTAC
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
25000
50000
N/A
p
estimate
noChange
2.7
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 85300 4.0 2007-2018 = N/A | N/A | (10) 1981-2018 + N/A | N/A | (5) 80100 3.8
BE
2200
3300
2700
p
estimate
genuine
0.2
2008-2018 - -48 | -22 | (-36) 1973-2018 = -15 | 27 | (4) 30489 # 1.4 2008-2018 + N/A | N/A | (19.64) 1973-2018 + N/A | N/A | (46.42) 32000 1.5
BG
20000
30000
N/A
p
estimate
noChange
1.8
2001-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 48860 2.3 2000-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 50300 2.4
CZ
20000
40000
N/A
p
estimate
noChange
#
2.2
2007-2018 = N/A | N/A | (-1) 1982-2018 = N/A | N/A | (-1) # 74500 3.5 2002-2016 = N/A | N/A | (0.67) 1986-2016 = N/A | N/A | (6.25) # 43 63 N/A i estimate N/A # N/A 2008-2019 u N/A | N/A | (2) 1980-2019 + N/A | N/A | (7) # other 71700 3.4
DE
33000
59000
N/A
p
mean
noChange
3.3
2004-2016 = N/A | N/A | (1) 1980-2016 = N/A | N/A | (3) 308774 14.4 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 315400 14.8
DK
N/A
N/A
299
p
estimate
genuine
#
2006-2017 - N/A 1996-2017 - -48.38 | -13.1 | (-32.92) # 14500 0.7 1996-2017 - N/A | N/A | (-18.99) 1974-2017 + N/A | N/A | (98.63) # 14200 0.7
EE
3
10
N/A
p
estimate
knowledge
2006-2017 + 20 | 50 | (N/A) 1980-2017 + 20 | 50 | (N/A) 1700 2007-2018 + 85 | 650 | (N/A) 1980-2018 + 93 | 750 | (N/A) 1700
ES
72500
174000
N/A
p
interval
noChange
#
8.9
2007-2018 = -5.8 | -1.5 | (N/A) 1984-2018 = N/A 107116 5.0 2007-2018 = N/A 1984-2018 = N/A 109800 5.1
ESIC
2500
10000
N/A
p
minimum
noInfo
#
0.5
2007-2018 u N/A 1980-2018 x N/A # 6000 0.3 2007-2018 u N/A | N/A | (-1) 1980-2018 x N/A # 7000 0.3
FI
40
120
70
p
estimate
knowledge
2007-2018 = N/A 1980-2018 + N/A 5200 0.2 N/A N/A N/A 1980-2010 + 586 | 586 | (N/A) 5200 0.2
FR
50000
100000
N/A
p
estimate
knowledge
#
5.4
2007-2018 = N/A | N/A | (1.5) 1989-2017 = N/A 367200 17.1 2009-2017 = -0.5 | 2.5 | (N/A) 1985-2017 = 1 | 5 | (N/A) 363100 17.0
GIB
6 10 10 i mean noChange N/A 2000-2018 = 0 | 0 | (0) 1980-2018 = 0 | 0 | (0) other
GR
5000
10000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A | N/A | (0) 1980-2018 = 0 | 0 | (N/A) 116000 5.4 2017-2018 x N/A 1980-2018 x N/A 108100 5.1
HR
1000
10000
N/A
p
estimate
N/A
0.4
2007-2018 x N/A 1980-2018 x N/A 34 2007-2018 x N/A 1980-2018 x N/A 6600 0.3
HU
300
600
N/A
p
estimate
knowledge
#
2007-2018 = N/A 1980-2018 = N/A # 7873 0.4 2007-2018 = N/A 1980-2018 x N/A # 8300 0.4
IE
36949
66035
50768
i
interval
genuine
#
N/A
2006-2016 - -54.6 | -37.2 | (-46.5) 1980-2016 x N/A 64900 3.0 2006-2016 - N/A | N/A | (-39) 1972-2016 - N/A | N/A | (-48) # 64100 3.0
IT
40000
80000
N/A
p
estimate
noChange
4.3
2000-2014 = N/A 1993-2018 + 60 | 100 | (N/A) 201500 9.4 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 35 | 40 | (N/A) 197600 9.2
LU
300
400
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 = N/A 706 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2600 0.1
LV
34
46
35
p
estimate
genuine
2012-2018 + 211.38 | 362.76 | (295.47) 1991-2007 + 1239 | 2020 | (N/A) 2100 0.1 2008-2017 + N/A | N/A | (250) 1991-2017 + N/A | N/A | (2000) # 2100 0.1
NL
220
410
N/A
p
estimate
genuine
2006-2017 - -47 | -22 | (-36) 1980-2017 + 150 | 192 | (170) 11300 0.5 2000-2015 + N/A | N/A | (88.33) 1977-2015 + N/A | N/A | (135.41) 10100 0.5
PL
7000
10000
N/A
p
estimate
noChange
0.6
2007-2018 x N/A 1980-2018 x N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
10000
50000
N/A
p
estimate
noChange
#
2.2
2004-2018 = N/A 1980-2018 x N/A # 43200 # 2.0 2005-2018 = N/A | N/A | (-29) 1980-2018 = N/A # 43200 2.0
PTAC
443843
787381
637153
p
mean
method
#
45.9
2007-2017 + 0.1 | 50 | (N/A) 1980-2018 x N/A 7400 # 0.3 2008-2018 = N/A | N/A | (0) 1980-2018 x N/A # 7400 0.3
PTMA
1000
5000
N/A
p
estimate
noChange
#
0.2
2008-2018 = N/A 1980-2018 = N/A 1500 2001-2018 + N/A | N/A | (1) 1980-2018 x N/A | N/A | (1) 1600
RO
134809
298025
N/A
p
interval
method
15.6
2007-2018 x N/A 1980-2018 x N/A 74300 3.5 2007-2018 = N/A 1980-2018 = N/A 74300 3.5
SE
6000
17000
11000
p
estimate
genuine
0.8
2007-2018 + 14 | 201 | (87) 1980-2018 + 200 | 400 | (300) 281800 13.2 2007-2018 + 20 | 40 | (30) 1980-2018 + 150 | 250 | (200) 281800 13.2
SI
5000
7000
N/A
p
estimate
noChange
#
0.4
2008-2018 x N/A 1980-2018 x N/A 12200 # 0.6 2007-2018 x N/A 1980-2018 + N/A | N/A | (26) # 11600 0.5
SK
12000
24000
N/A
p
estimate
genuine
1.3
2007-2018 + 15 | 25 | (N/A) 1980-2018 + 15 | 25 | (N/A) 36137 1.7 2007-2018 = N/A 1980-2018 = N/A 38300 1.8
UK
N/A
N/A
36822
p
estimate
genuine
#
2.6
2004-2016 - N/A | N/A | (-16.35) 1980-2016 + N/A | N/A | (15.9) # 231400 10.8 1989-2009 + 9.41 | 9.41 | (N/A) 1970-2009 + 16.75 | 16.75 | (N/A) 229500 10.7
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 906000 1790000 p = x 2150000 NE NE Secure A B Unknown Motacilla cinerea