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, Spinus spinus. 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 estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE absentData
IT estimateExpert
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL completeSurvey
PTMA estimatePartial
RO estimateExpert
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
GIB
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL absentData
PTMA completeSurvey
RO estimatePartial
SE estimatePartial
SI absentData
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
BG
CZ
DE
DK
EE
ES
FI
FR
GIB estimateExpert
GR
HR
HU
IE
IT
LT
LU estimateExpert
LV
NL
PL
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
1.0
2007-2018 F N/A | N/A | (0) 1981-2018 x N/A 61800 3.9 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 58900 3.8
BE
250
620
430
p
estimate
genuine
2008-2018 u -23 | 91 | (32) 1973-2018 - -67 | -18 | (-43) 12713 # 0.8 2008-2018 + N/A | N/A | (296.54) 1973-2018 + N/A | N/A | (382.83) 19600 1.2
BG
2000
4000
N/A
p
estimate
noChange
2000-2018 F N/A 1980-2018 F N/A 10524 0.7 2000-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 5 | (N/A) 10800 0.7
CZ
100000
200000
N/A
p
estimate
noChange
#
4.0
2007-2018 = N/A | N/A | (1) 1982-2018 = N/A | N/A | (-1) # 59200 3.7 2002-2016 = N/A | N/A | (3) 1986-2016 = N/A | N/A | (6) # 57100 3.6
DE
21000
51000
N/A
p
mean
noChange
1.0
2004-2016 F N/A | N/A | (0) 1980-2016 x N/A 144325 9.1 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 149300 9.6
DK
N/A
N/A
106
p
estimate
genuine
#
2006-2017 F -64.52 | 79.35 | (-18.02000) 1982-2017 - -75.93 | -34.9 | (-60.28) # 14500 0.9 1996-2017 - N/A | N/A | (-37.76) 1974-2017 + N/A | N/A | (28.31) # 14600 0.9
EE
90000
130000
N/A
p
estimate
genuine
3.0
2007-2018 - -52 | -47 | (N/A) 1983-2018 - -65 | -63 | (N/A) 51700 3.2 2007-2018 = -4 | -2 | (N/A) 1980-2018 = 6 | 7 | (N/A) 17900 1.1
ES
N/A
N/A
560
p
minimum
method
2007-2018 F N/A 1984-2018 F N/A 3207 0.2 2007-2018 F N/A 1984-2018 F N/A 3400 0.2
FI
1148545
2049501
1601553
p
mean
genuine
43.2
2007-2018 = -10 | 3 | (-4) 1980-2018 + 23 | 60 | (40) 301400 18.9 N/A N/A N/A 1980-2010 + 39 | 39 | (N/A) 301200 19.3
FR
1000
2000
N/A
p
estimate
noInfo
2007-2017 x N/A 1989-2017 x N/A 15800 1.0 2007-2017 x N/A 1985-2017 x N/A 15700 1.0
GIB
0 200 200 i estimate noChange N/A 2001-2012 F 0 | 200 | (200) 1980-2018 x N/A other
GR
500
2000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (127) 49200 3.1 2007-2018 x N/A 1980-2018 x N/A 45500 2.9
HR
N/A
N/A
1000
p
minimum
N/A
2007-2018 x N/A 1980-2018 x N/A 9467 0.6 2007-2018 x N/A 1980-2018 x N/A 11100 0.7
HU
100
150
N/A
p
estimate
genuine
#
2007-2018 - -50 | -50 | (N/A) 1980-2018 x N/A # 891 2007-2018 = N/A 1980-2018 = N/A 1400
IE
99999
99999
N/A
p
estimate
noChange
#
2.7
2000-2011 + N/A | N/A | (67) 1990-2011 + N/A | N/A | (733) # 45600 # 2.9 1991-2011 + N/A | N/A | (98) 1972-2011 + N/A | N/A | (148) # 45200 2.9
IT
500
1500
N/A
p
estimate
noChange
2007-2018 x N/A 1993-2018 = N/A 27300 1.7 2007-2018 + 15 | 20 | (N/A) 1993-2018 + 80 | 85 | (N/A) 26200 1.7
LT
40000
100000
N/A
p
estimate
noChange
1.9
2013-2018 = N/A 1980-2018 = N/A 27100 1.7 2006-2018 = N/A 1980-2018 = N/A 26400 1.7
LU
0
2
N/A
p
estimate
noChange
#
2007-2018 F N/A 1980-2018 F N/A # 13 # 2007-2018 F N/A 1980-2018 F N/A # 500 3000 N/A i estimate noChange N/A 2007-2018 F N/A 1980-2018 F N/A other 800
LV
184276
278053
226359
p
interval
method
6.1
2005-2018 + 12.5 | 137.2 | (64.2) 1991-2016 + 59 | 61 | (N/A) 57600 3.6 2000-2017 = N/A | N/A | (-6) 1980-2017 + N/A | N/A | (26) 56900 3.6
NL
300
500
N/A
p
estimate
knowledge
2006-2017 + 37 | 197 | (103) 1980-2017 - -54 | -49 | (-52) 7800 0.5 2000-2015 - N/A | N/A | (-34.45) 1977-2015 + N/A | N/A | (39.28) 7800 0.5
PL
20000
41000
N/A
p
interval
genuine
0.8
2007-2018 u -19 | 113 | (33) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PTMA
1000
5000
N/A
p
estimate
noChange
#
2008-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 1400 2001-2018 + N/A | 500 | (1) 1980-2018 + N/A | N/A | (1) # 1100
RO
8400
84000
N/A
p
estimate
knowledge
1.2
2007-2018 x N/A 1980-2018 x N/A 15800 1.0 2007-2018 x N/A 1980-2018 x N/A 15800 1.0
SE
493000
1134000
817000
p
estimate
noChange
22.0
2007-2018 = -10 | 40 | (0) 1980-2018 - -57 | -42 | (-50) 469200 29.4 2007-2018 = N/A 1980-2018 = N/A 467600 29.9
SI
3000
9000
N/A
p
estimate
knowledge
0.2
2008-2018 x N/A 1980-2018 x N/A 2200 # 0.1 2007-2018 x N/A 1980-2018 + N/A | N/A | (36) # 2100 0.1
SK
15000
30000
N/A
p
estimate
noChange
0.6
2007-2018 = N/A 1980-2018 - -30 | -20 | (N/A) 19807 1.2 2007-2018 = N/A 1980-2018 = N/A 21500 1.4
UK
N/A
N/A
442565
p
estimate
genuine
11.9
2004-2016 + N/A | N/A | (97.66) 1980-2016 + N/A | N/A | (236.29) # 186600 11.7 1989-2009 + 53.2 | 53.2 | (N/A) 1970-2009 + 170.43 | 170.43 | (N/A) 184400 11.8
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 2680000 4640000 p = = 1570000 NE NE Secure A B Secure Spinus spinus