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, Oriolus oriolus. 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
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimateExpert
UK 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
CY 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 estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
CY
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
PT
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
7000
13000
N/A
p
estimate
noChange
0.3
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 33400 1.7 2007-2018 + N/A | N/A | (62) 1981-2018 x N/A 30100 1.5
BE
1600
2500
2000
p
estimate
genuine
#
2008-2018 u -9 | 43 | (14) 1973-2018 u -30 | 9 | (-13) 25875 # 1.3 2008-2018 = N/A 1973-2018 + N/A | N/A | (10.89) 24400 1.2
BG
80000
130000
N/A
p
estimate
noChange
3.4
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 99882 5.0 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 103300 5.2
CY
10
40
N/A
p
estimate
noChange
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 700 2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 700
CZ
8000
16000
N/A
p
estimate
noChange
#
0.4
2007-2018 - N/A | N/A | (-2) 1982-2018 + N/A | N/A | (1) # 61900 3.1 2002-2016 + N/A | N/A | (12.22) 1986-2016 + N/A | N/A | (19.25) # 60100 3.0
DE
32000
57000
N/A
p
estimate
genuine
1.4
2004-2016 = N/A | N/A | (2) 1980-2016 = N/A | N/A | (9) 255396 12.8 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 264800 13.3
DK
N/A
N/A
10
p
estimate
noChange
#
2009-2017 = -60.96 | 110.93 | (-5.6) 1996-2017 = -84.17 | 94.26 | (-42.53) # 2500 0.1 1996-2017 - N/A | N/A | (-54.54) 1974-2017 - N/A | N/A | (-81.75) # 2000 0.1
EE
20000
30000
N/A
p
estimate
knowledge
0.8
2007-2018 = 6 | 10 | (N/A) 1983-2018 = 17 | 38 | (N/A) 47700 2.4 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-8) 24800 1.2
ES
850000
1275000
N/A
p
interval
noChange
34.2
2007-2018 = N/A 1980-2018 + N/A | N/A | (5.5) 178051 8.9 2007-2018 = N/A 1980-2018 = N/A # 187000 9.4
FI
1500
4757
2682
p
interval
knowledge
2007-2018 = -93 | 56 | (-63) 1980-2018 - 34 | 96 | (84) 25700 1.3 N/A N/A N/A 1980-2010 - 34 | 34 | (N/A) 25700 1.3
FR
100000
200000
N/A
p
estimate
method
4.8
2007-2018 - N/A | N/A | (-15) 2001-2018 - N/A | N/A | (-7) 352800 17.6 2013-2018 = -8 | 9 | (N/A) 1989-2018 = N/A | N/A | (0) 350600 17.6
GR
5000
30000
N/A
p
estimate
noChange
0.6
2007-2018 - N/A | N/A | (-30) 1980-2018 = N/A 64300 3.2 2007-2018 x N/A 1980-2018 x N/A 59300 3.0
HR
150000
200000
N/A
p
estimate
N/A
5.6
2007-2018 x N/A 1980-2018 x N/A 56548 2.8 2007-2018 x N/A 1980-2018 x N/A 78100 3.9
HU
152000
156000
N/A
p
interval
method
#
5.0
2007-2018 + 6 | 46 | (N/A) 1980-2018 x N/A 93030 4.7 2007-2018 = N/A 1980-2018 = N/A # 94400 4.7
IT
40000
100000
N/A
p
estimate
noChange
2.2
2012-2017 + 20 | 30 | (N/A) 1993-2018 + N/A | N/A | (100) 214700 10.7 2007-2018 = N/A 1993-2018 + 30 | 35 | (N/A) 214100 10.7
LT
15000
25000
N/A
p
estimate
noChange
0.6
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 3.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71200 3.6
LU
50
100
N/A
p
estimate
noChange
#
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -40 | -20 | (N/A) 137 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 1500
LV
96542
165740
126154
p
interval
genuine
4.1
2005-2018 = -16.1 | 57.6 | (15.4) 1995-2018 + 80.98 | 354.79 | (N/A) 58800 2.9 2000-2017 - N/A | N/A | (-11) 1980-2017 = N/A | N/A | (8) 57400 2.9
NL
1700
2900
N/A
p
estimate
knowledge
2006-2017 + 2 | 34 | (17) 1984-2017 - -54 | -26 | (-42) 25000 1.2 2000-2015 - N/A | N/A | (-22.6) 1977-2015 - N/A | N/A | (-30.36) 23100 1.2
PL
376000
495000
N/A
p
interval
method
14.0
2007-2018 - -17 | -4 | (-11) 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
100000
N/A
p
estimate
method
#
1.8
2004-2018 = N/A 1980-2018 = N/A # 50900 # 2.5 2005-2018 = N/A | N/A | (-25) 1980-2018 = N/A # 49700 2.5
RO
400000
800000
N/A
p
estimate
knowledge
19.3
2008-2018 - -6 | 0 | (N/A) 1980-2018 x N/A 215600 10.8 2007-2018 = N/A 1980-2018 = N/A 210600 10.5
SE
80
160
120
p
estimate
genuine
#
2007-2018 u -50 | 50 | (N/A) 1980-2018 - -75 | -25 | (-50) 9400 0.5 2007-2018 = N/A 1980-2018 = N/A 9400 0.5
SI
24000
34000
N/A
p
estimate
noChange
0.9
2008-2018 = N/A | N/A | (0) 1980-2018 x N/A 11000 # 0.6 2007-2018 x N/A 1980-2018 + N/A | N/A | (22) # 9200 0.5
SK
7000
15000
N/A
p
estimate
noChange
0.3
2007-2018 = N/A 1980-2018 = N/A 42039 2.1 2007-2018 = N/A 1980-2018 - N/A | N/A | (-8) # 43300 2.2
UK
0
2
0
p
estimate
genuine
#
2001-2016 - N/A | N/A | (-81) 1978-2016 - N/A | N/A | (-93) 2700 0.1 1989-2009 - -40 | -40 | (N/A) 1970-2009 + 170 | 170 | (N/A) 2600 0.1
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 1970000 3060000 p = = 1780000 NE NE Secure A B Secure Oriolus oriolus