Article 12 web tool

Log in

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, Ficedula hypoleuca. 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
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
HU estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
RO estimateExpert
SE estimatePartial
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
HU completeSurvey
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO absentData
SE estimatePartial
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
CZ
DE
DK
EE
ES
FI
FR
HU
LT
LU
LV
NL
PL
RO
SE
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
400
700
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 14500 1.0 2007-2018 - N/A | N/A | (-40) 1981-2018 x N/A | N/A | (0) 14200 1.0
BE
1200
2200
1700
p
estimate
method
2008-2018 u -41 | 7 | (-17) 1973-2018 u -8 | 69 | (31) # 8550 # 0.6 2008-2018 + N/A | N/A | (82.73) 1973-2018 + N/A | N/A | (41.11) 14800 1.0
CZ
13000
26000
N/A
p
estimate
noChange
#
0.7
2007-2018 = N/A | N/A | (-1) 1982-2018 = N/A # 35200 2.4 2002-2016 - N/A | N/A | (-9.97) 1986-2016 = N/A | N/A | (-5.82) # 34800 2.4
DE
68000
130000
N/A
p
mean
genuine
3.8
2004-2016 = N/A | N/A | (-2) 1980-2016 = N/A | N/A | (-2) 287059 19.6 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 298000 20.5
DK
N/A
N/A
3861
p
estimate
genuine
#
0.1
2006-2017 - -86.3 | -34.01000 | (-69.15) 1980-2017 - -87.31 | -75.5 | (-82.34) # 21100 1.4 1996-2017 - N/A | N/A | (-42.34) 1974-2017 - N/A | N/A | (-31.71) # 20800 1.4
EE
150000
200000
N/A
p
estimate
genuine
6.6
2007-2018 - -28 | -23 | (N/A) 1983-2018 - -23 | -15 | (N/A) 52700 3.6 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-1) 29900 2.1
ES
130000
350000
N/A
p
estimate
noChange
9.1
1998-2015 - N/A 1980-2018 = N/A 36797 2.5 1998-2015 - N/A 1980-2018 = N/A 38100 2.6
FI
434084
543612
487090
p
mean
genuine
18.4
2007-2018 - 16 | 31 | (24) 1980-2018 = -12 | 21 | (3) 310400 21.2 N/A N/A N/A 1980-2010 + 10 | 10 | (N/A) 310000 21.3
FR
2000
4000
N/A
p
estimate
method
0.1
2007-2017 x N/A 2001-2017 x N/A 12100 0.8 2013-2018 x N/A 1985-2018 x N/A 11400 0.8
HU
30
60
N/A
p
estimate
noChange
2007-2018 = N/A 1980-2018 x N/A 1256 2007-2018 = N/A 1980-2018 x N/A 1300
LT
100000
200000
N/A
p
estimate
noChange
5.7
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 5.0 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71400 4.9
LU
1000
1500
N/A
p
estimate
noChange
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -20 | -10 | (N/A) 295 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2600 0.2
LV
115769
205854
153681
p
interval
genuine
5.8
2005-2018 u -2.3 | 89.4 | (36.6) 1991-2016 - -56 | -55 | (N/A) 59900 4.1 2000-2017 = N/A | N/A | (-9) 1980-2017 = N/A | N/A | (16) 58500 4.0
NL
19000
23000
N/A
p
estimate
knowledge
0.8
2006-2017 + 50 | 85 | (67) 1984-2017 + 10 | 84 | (43) 24100 1.6 2000-2015 - N/A | N/A | (-12.68) 1977-2015 = N/A | N/A | (-9.39) 21800 1.5
PL
109000
163000
N/A
p
interval
genuine
5.2
2007-2018 - -48 | -16 | (-34) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
450
4400
N/A
p
estimate
knowledge
2007-2018 x N/A 1980-2018 x N/A 1200 2007-2018 x N/A 1980-2018 x N/A 1200
SE
1051000
1193000
1122000
p
estimate
genuine
42.5
2007-2018 - -26 | -16 | (-21) 1980-2018 - -52 | -44 | (-48) 473000 32.3 2007-2018 = N/A 1980-2018 = N/A 470800 32.4
SK
0
20
N/A
p
estimate
knowledge
#
2007-2018 x N/A 1980-2018 x N/A 0.00000 2007-2018 x N/A 1980-2018 x N/A N/A N/A
UK
21851
24973
N/A
p
estimate
genuine
#
0.9
2004-2016 = N/A | N/A | (-0.68) 1980-2016 + N/A | N/A | (33.59) # 53400 3.6 1989-2009 - -27.15 | -27.15 | (N/A) 1970-2009 = N/A # 53000 3.6
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 2220000 3080000 p - - 1460000 NE NE Declining C B Depleted Ficedula hypoleuca