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, Remiz pendulinus. 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 completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimateExpert
FI estimateExpert
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV estimatePartial
NL completeSurvey
PL estimateExpert
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimateExpert
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 estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL absentData
RO estimatePartial
SE estimatePartial
SI absentData
SK estimateExpert
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
RO
SE
SI
SK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
130
230
N/A
p
estimate
genuine
0.1
2007-2018 - N/A | N/A | (-80) 1981-2018 - -90 | -70 | (N/A) 6600 1.5 2007-2018 - N/A | N/A | (-16) 1981-2018 = N/A | N/A | (0) 5900 1.3
BE
0
1
0
p
estimate
noChange
#
2008-2018 = N/A | N/A | (0) 1973-2018 = N/A # 505 # 0.1 2008-2018 = N/A 1973-2018 + N/A | N/A | (400) # 1400 0.3
BG
400
900
N/A
p
estimate
noChange
0.4
2000-2018 x N/A 1980-2018 x N/A 16307 3.7 2000-2018 x N/A 1980-2018 x N/A 17700 4.0
CZ
1000
2000
N/A
p
estimate
noChange
#
0.9
2007-2018 u N/A | N/A | (-8) 1982-2018 - N/A | N/A | (-11) # 16200 3.7 2002-2016 - N/A | N/A | (-41.91) 1986-2016 - N/A | N/A | (-46.44) # 16100 3.7
DE
1700
3000
N/A
p
estimate
genuine
1.4
2004-2016 - N/A | N/A | (-46) 1985-2016 - N/A | N/A | (-32) 67181 15.3 2004-2016 - -30 | -11 | (N/A) 1980-2016 - -65 | -26 | (N/A) 70100 15.9
DK
N/A
N/A
10
p
estimate
noChange
#
2006-2017 - N/A 1980-2017 = -87.68 | 299.81 | (-26.97) # 2600 0.6 1996-2017 - N/A | N/A | (-62.85) 1974-2017 + N/A | N/A | (136.36) # 2600 0.6
EE
400
600
N/A
p
estimate
noChange
0.3
2006-2017 = -10 | 10 | (N/A) 1980-2017 + 50 | 100 | (N/A) 6800 1.6 2007-2018 + 58 | 292 | (N/A) 1980-2018 + 85 | 467 | (N/A) 6800 1.6
ES
12400
14600
N/A
p
minimum
knowledge
7.9
2007-2018 u N/A 1980-2018 + N/A 46720 10.6 2007-2018 u -10 | 10 | (N/A) 1980-2018 + N/A | 13.2 | (N/A) 49200 11.2
FI
3
15
5
p
estimate
noChange
2007-2018 + N/A | N/A | (85) 1985-2018 + N/A # 1000 0.2 N/A N/A N/A 1985-2010 + 350 | 350 | (N/A) 1000 0.2
FR
0
2
N/A
p
estimate
genuine
2007-2018 x N/A 1980-2018 - -100 | -98 | (N/A) 500 0.1 2007-2018 x N/A 1980-2018 - N/A | N/A | (-80) 600 0.1
GR
60000
90000
N/A
p
estimate
knowledge
43.8
2007-2018 x N/A 1980-2018 = N/A | N/A | (0) 80400 18.3 2007-2018 x N/A 1980-2018 x N/A 68300 15.5
HR
5000
10000
N/A
p
estimate
N/A
4.4
2007-2018 x N/A 1980-2018 x N/A 296 2007-2018 x N/A 1980-2018 x N/A 4900 1.1
HU
3000
5000
N/A
p
estimate
knowledge
#
2.3
2007-2018 x N/A 1998-2018 - -66 | -63 | (N/A) # 35712 8.1 2007-2018 = N/A 1980-2018 x N/A # 36300 8.3
IT
7000
11000
N/A
p
estimate
genuine
5.2
2000-2014 - -15 | -5 | (N/A) 1993-2018 - -65 | -50 | (N/A) 52700 12.0 2007-2018 - -35 | -30 | (N/A) 1993-2018 + 5 | 10 | (N/A) 52700 12.0
LT
1500
2000
N/A
p
estimate
knowledge
1.0
2013-2018 = 0 | 0 | (N/A) 1980-2018 + 10 | 30 | (N/A) 17000 3.9 2006-2018 = 0 | 0 | (N/A) 1980-2018 + 5 | 10 | (N/A) 17000 3.9
LU
0
0
N/A
p
estimate
genuine
#
2007-2018 - -100 | -100 | (N/A) 1980-2018 F N/A # 0.00000 # 2007-2018 - -100 | -100 | (N/A) 1980-2018 F N/A N/A N/A
LV
1100
1700
N/A
p
estimate
genuine
0.8
2012-2018 + 56.15 | 59.36 | (58.11) 1991-2017 + 171 | 184 | (N/A) 14200 3.2 2000-2017 + N/A | N/A | (43) 1980-2017 + N/A | N/A | (545) 14200 3.2
NL
45
75
N/A
p
estimate
genuine
2006-2017 - -76 | -29 | (-58) 1980-2017 + 424 | 900 | (625) 2300 0.5 2000-2015 - N/A | N/A | (-73.86) 1977-2015 + N/A | N/A | (666.66) 2300 0.5
PL
14000
34000
N/A
p
estimate
noChange
14.0
2007-2018 = -33 | 19 | (-11) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
14771
37173
N/A
p
interval
method
15.2
2008-2018 u -17 | 12 | (N/A) 1980-2018 x N/A 41100 9.4 2007-2018 x N/A 1980-2018 x N/A 40300 9.2
SE
10
30
20
p
estimate
genuine
2007-2018 - -50 | -10 | (-30) 1980-2018 - -30 | -10 | (-20) 4400 1.0 2007-2018 = N/A 1980-2018 = N/A 4400 1.0
SI
100
300
N/A
p
estimate
noChange
#
0.1
2008-2018 x N/A 1980-2018 x N/A 1400 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (4) # 1400 0.3
SK
2500
5000
N/A
p
estimate
genuine
2.2
2007-2018 - -50 | -30 | (N/A) 1980-2018 - -40 | -20 | (N/A) 25096 5.7 2007-2018 + 1 | 10 | (N/A) 1980-2018 + 10 | 25 | (N/A) 26500 6.0
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 110000 181000 p x - 397000 NE NE Unknown E B Unknown Remiz pendulinus