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, Certhia familiaris. 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 estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimatePartial
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
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimatePartial
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
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
IE
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
80000
120000
N/A
p
estimate
noChange
2.0
2007-2018 = N/A | N/A | (8) 1981-2018 x N/A 84100 4.1 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 79200 3.9
BE
6400
10100
8200
p
estimate
genuine
0.2
2008-2018 + -17 | 51 | (13) 1973-2018 + 276 | 494 | (382) # 11458 # 0.6 2008-2018 + N/A | N/A | (10.08000) 1973-2018 + N/A | N/A | (89.93) 11700 0.6
BG
50000
75000
N/A
p
estimate
noChange
1.3
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 24698 1.2 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 25600 1.2
CZ
290000
580000
N/A
p
estimate
N/A
#
8.9
2007-2018 = N/A | N/A | (-1) 1982-2018 = N/A # 74400 3.6 2002-2016 = N/A | N/A | (1.17) 1986-2016 = N/A | N/A | (8.28) # 71000 3.5
DE
365000
620000
N/A
p
estimate
genuine
10.1
2004-2016 + 25 | 77 | (49) 1980-2016 = N/A | N/A | (12) 328470 16.1 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 340200 16.7
DK
N/A
N/A
22641
p
estimate
genuine
#
0.5
2006-2017 - -45.54 | -5.69 | (-28.11) 1980-2017 F -24.25 | 17.74 | (-5.5) # 46200 2.3 1996-2017 + N/A | N/A | (19.37) 1974-2017 + N/A | N/A | (55.55) # 46200 2.3
EE
60000
100000
N/A
p
estimate
genuine
1.6
2007-2018 - -40 | -25 | (N/A) 1983-2018 = -63 | 354 | (N/A) # 48200 2.4 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 8 | 9 | (N/A) 18800 0.9
ES
32000
40000
N/A
p
interval
knowledge
0.7
2007-2018 = N/A 1980-2018 = N/A 9808 0.5 2007-2018 = N/A 1980-2012 = N/A # 9900 0.5
FI
168998
312978
256448
p
mean
genuine
5.3
2007-2018 = -17 | 17 | (-1) 1980-2018 = -5 | 76 | (30) 188000 9.2 N/A N/A N/A 1980-2010 + 43 | 43 | (N/A) 187800 9.2
FR
150000
250000
N/A
p
estimate
knowledge
4.1
2007-2018 + N/A | N/A | (19.2) 1980-2018 x N/A # 90000 # 4.4 2007-2018 + -6 | 27 | (N/A) 1985-2018 + 10 | 25 | (N/A) 87500 4.3
GR
2000
5000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-36) 26900 1.3 2007-2018 x N/A 1980-2018 x N/A 24800 1.2
HR
100000
300000
N/A
p
estimate
N/A
4.1
2007-2018 x N/A 1980-2018 x N/A 15806 0.8 2007-2018 x N/A 1980-2018 x N/A 46500 2.3
HU
10000
15000
N/A
p
estimate
method
#
0.3
2007-2018 u N/A | N/A | (-20) 1980-2018 x N/A # 22001 1.1 2007-2018 = N/A 1980-2018 x N/A 22500 1.1
IE
30944
122463
77344
i
interval
genuine
#
N/A
2006-2016 + -1.5 | 40.4 | (17.8) 1980-2016 x N/A 56200 2.8 2006-2016 + N/A | N/A | (21) 1972-2017 + N/A | N/A | (14.1) # 55400 2.7
IT
30000
100000
N/A
p
estimate
noChange
1.3
2000-2014 + 10 | 35 | (N/A) 1993-2018 + 0 | 70 | (N/A) 49100 2.4 2007-2018 + 10 | 15 | (N/A) 1993-2018 + 45 | 50 | (N/A) 47800 2.3
LT
50000
80000
N/A
p
estimate
noChange
1.3
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 28000 1.4 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 27700 1.4
LU
2000
3000
N/A
p
estimate
noChange
#
2007-2018 u -30 | 80 | (N/A) 1980-2018 x N/A 674 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400 0.1
LV
127040
358216
213325
p
interval
method
4.4
2005-2018 u -49 | 16 | (-22.6) 1991-2016 + 60 | 61 | (N/A) 58700 2.9 2000-2017 = N/A | N/A | (8) 1980-2017 + N/A | N/A | (45) 58200 2.9
NL
200
300
N/A
p
estimate
genuine
2006-2017 + 10 | 100 | (N/A) 1993-2017 + 1900 | 2900 | (N/A) # 3300 0.2 2000-2015 + N/A | N/A | (371.43) 1993-2015 + N/A | N/A | (3200) # 3000 0.1
PL
234000
297000
N/A
p
interval
genuine
5.5
2007-2018 = -23 | 15 | (-6) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
598146
994337
N/A
p
interval
method
16.3
2008-2018 u -5 | 15 | (N/A) 1980-2018 x N/A 160500 7.9 2007-2018 = N/A 1980-2018 = N/A 160500 7.9
SE
991000
1262000
1119000
p
estimate
genuine
22.9
2007-2018 + 32 | 68 | (49) 1980-2018 - -55 | -34 | (-46) 431000 21.1 2007-2018 = N/A 1980-2018 = N/A 430600 21.1
SI
50000
100000
N/A
p
estimate
noChange
#
1.5
2008-2018 x N/A 1980-2018 x N/A 7400 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (242) # 7000 0.3
SK
110000
170000
N/A
p
estimate
noChange
2.9
2007-2018 = N/A 1980-2018 = N/A 43787 2.1 2007-2018 = N/A 1980-2018 = N/A 48000 2.4
UK
N/A
N/A
223881
p
estimate
genuine
#
4.6
2004-2016 = N/A | N/A | (5.07000) 1980-2016 = N/A | N/A | (8.42) # 230800 11.3 1989-2009 = 3.5 | 3.5 | (N/A) 1970-2009 = N/A # 229300 11.2
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 3590000 6060000 p + - 2040000 NE NE Secure A B Secure Certhia familiaris