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, Passer montanus. 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 estimateExpert
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR completeSurvey
HU completeSurvey
IE estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
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 estimatePartial
GR estimatePartial
HR completeSurvey
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
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
MT
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
150000
250000
N/A
p
estimate
genuine
1.4
2007-2018 + N/A | N/A | (24) 1981-2018 x N/A 72700 2.6 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 67600 2.5
BE
16600
29900
23300
p
estimate
genuine
0.2
2008-2018 - -39 | -33 | (-37) 1973-2018 - -92 | -86 | (-89) # 30032 # 1.1 2008-2018 = N/A 1973-2018 = N/A 30000 1.1
BG
100000
700000
N/A
p
estimate
noChange
2.7
2001-2018 + 25 | 65 | (N/A) 1980-2018 = 0 | 5 | (N/A) 107478 3.9 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 110700 4.1
CZ
350000
700000
N/A
p
estimate
noChange
#
3.5
2007-2018 = N/A | N/A | (-1) 1982-2018 - N/A | N/A | (-1) # 77800 2.8 2002-2016 = N/A | N/A | (1.85) 1986-2016 = N/A | N/A | (-0.33) # 74600 2.7
DE
840000
1250000
N/A
p
estimate
genuine
7.0
2004-2016 = N/A | N/A | (5) 1980-2016 - N/A | N/A | (-41) 352042 12.8 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 366900 13.5
DK
N/A
N/A
557188
p
estimate
genuine
#
3.8
2006-2017 = -25.82 | 16.82 | (-6.71) 1980-2017 + 42.32 | 98.78 | (68.26) # 56900 2.1 1996-2017 = N/A | N/A | (0.7) 1974-2017 = N/A | N/A | (-2.7) # 56800 2.1
EE
80000
110000
N/A
p
estimate
noChange
0.6
2007-2018 - -37 | -27 | (N/A) 1983-2018 - -127 | -90 | (N/A) 45400 1.7 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-2) 17800 0.7
ES
1655000
2810000
N/A
p
interval
noChange
15.0
2007-2018 = N/A 1980-2018 - -18 | -3.4 | (N/A) 122935 4.5 2007-2018 - -40 | -5.5 | (N/A) 1980-2018 - N/A | -0.4 | (N/A) 128300 4.7
FI
293862
335400
315877
p
estimate
genuine
2.1
2006-2018 + 86 | 197 | (136) 1980-2018 + 2142 | 3040 | (2554) # 115400 4.2 2007-2018 x N/A 1980-2010 + 925 | 925 | (N/A) 115300 4.2
FR
70000
140000
N/A
p
estimate
method
0.7
2007-2018 - N/A | N/A | (-39) 2001-2018 - N/A | N/A | (-56) 188700 6.9 2013-2018 - -20 | -15 | (N/A) 1989-2018 - -35 | -30 | (N/A) 186900 6.9
GR
220000
370000
N/A
p
estimate
knowledge
2.0
2007-2018 - N/A | N/A | (-18) 1980-2018 + N/A | N/A | (14) 190500 7.0 2007-2018 x N/A 1980-2018 x N/A 185800 6.8
HR
22078
81964
N/A
p
interval
N/A
0.3
2007-2018 x N/A 1980-2018 x N/A 35810 1.3 2007-2018 x N/A 1980-2018 x N/A 41200 1.5
HU
1552000
1646000
N/A
p
interval
knowledge
#
10.8
2007-2018 F N/A 1980-2018 F N/A 93011 3.4 2007-2018 = N/A 1980-2018 = N/A # 94400 3.5
IE
1500
2500
N/A
p
estimate
noChange
#
2000-2011 + N/A | N/A | (14) 1980-2011 + N/A | N/A | (300) # 14200 # 0.5 1991-2011 + N/A | N/A | (73) 1972-2011 + N/A | N/A | (61) # 13900 0.5
IT
600000
1000000
N/A
p
estimate
noChange
5.4
2012-2017 - -20 | -10 | (N/A) 1993-2018 + 0 | 20 | (N/A) 293500 10.7 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 20 | 25 | (N/A) 292700 10.8
LT
100000
200000
N/A
p
estimate
knowledge
1.0
2013-2018 - -10 | -5 | (N/A) 1980-2018 - -40 | -30 | (N/A) 73500 2.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71300 2.6
LU
4000
6000
N/A
p
estimate
noChange
#
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -30 | -20 | (N/A) # 885 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2700 0.1
LV
88386
137545
110259
p
interval
genuine
0.7
2005-2018 = -13.5 | 59 | (17.7) 1995-2018 + 120.79 | 747.36 | (N/A) 58800 2.1 2000-2017 = N/A | N/A | (-7) 1980-2017 = N/A | N/A | (4) 57500 2.1
MT
74
79
N/A
p
estimate
noChange
2008-2018 = N/A | N/A | (-7) 1980-2018 = N/A | N/A | (-7) # 46 2008-2018 = N/A | N/A | (4) 1980-2018 = N/A 800
NL
40000
60000
N/A
p
estimate
genuine
0.3
2006-2017 - -54 | -37 | (-46) 1984-2017 - -72 | -51 | (-63) 41000 1.5 2000-2015 = N/A | N/A | (-6.6) 1977-2015 = N/A | N/A | (-6.17) 37800 1.4
PL
2428000
2767000
N/A
p
interval
genuine
17.5
2007-2018 + 99 | 149 | (123) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100000
500000
N/A
p
estimate
noChange
#
2.0
2007-2018 - N/A 1980-2018 x N/A # 33000 # 1.2 2005-2018 - N/A | N/A | (-46) 1980-2018 x N/A # 32800 1.2
RO
1759529
2386558
N/A
p
interval
method
14.0
2008-2018 u -3 | 5 | (N/A) 1980-2018 x N/A 218800 8.0 2007-2018 = N/A 1980-2018 = N/A 213800 7.9
SE
290000
554000
423000
p
estimate
noChange
2.9
2007-2018 = -5 | 27 | (10) 1980-2018 = -16 | 19 | (0) 355600 13.0 2007-2018 + 15 | 25 | (20) 1980-2018 + 30 | 60 | (50) 355000 13.1
SI
151000
243000
N/A
p
estimate
genuine
1.3
2008-2018 - N/A | N/A | (-25.5) 1980-2018 x N/A 9700 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (16) # 9000 0.3
SK
300000
600000
N/A
p
estimate
noChange
3.0
2007-2018 = N/A 1980-2018 = N/A 46618 1.7 2007-2018 = N/A 1980-2018 = N/A 48200 1.8
UK
N/A
N/A
246382
p
estimate
genuine
#
1.7
2004-2016 + N/A | N/A | (58.3) 1980-2016 - N/A | N/A | (-84.11) # 107300 3.9 1989-2009 - -22.69 | -22.69 | (N/A) 1970-2009 - -36.88 | -36.88 | (N/A) 106800 3.9
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 11600000 18100000 p = - 2770000 NE NE Depleted B B Declining Passer montanus