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The chart shows the scoring of countries reporting performance on the basis of key data flows.
Time series (1870-2022) of decadal average observed sea surface temperature anomalies (°C), with respect to the period 1991-2020, for each of the European basins, for the European seas as a whole, and for the global ocean. Data sources: HadSST4.0.1.0 (1850-2022), ERSSTTv5 (1880-2022), HadISST1 (1870-2022) and satellite-based ESA CCI/C3S SST Climate Data Record v2.1 (1991-2022).
European basins, Europe and Global 2071-2100 sea surface temperature warmings (ºC) of all the CMIP6 models ensemble presented in box plots (compared to 1991-2010 climatologies). Horizontal colored bars show the 25th, mean and 75th percentile. The results are considered under three different scenarios: SSP1-2.6, SSP2-4.5 and SSP5-8.5.
Left panel: Observed temperature trend from stations available in the European Climate Assessment and Datasets (ECA&D) (with different lengths of records) for daily temperature. Right panel: - Left map: Projected temperature change between the WMO reference period 1981-2010 and the end of the 21st century (period 2081-2100) under the scenario SSP1-2.6. - Right map: Projected temperature change between the WMO reference period 1981-2010 and the end of the 21st century (period 2081-2100) under the scenario SSP5-8.5.
Left chart: Global annual averages of near-surface temperature of land and ocean expressed as the anomaly relative to the pre-industrial period 1850-1900 according to the datasets used by the Copernicus Climate Change Service (C3S): ERA5 (C3S/ECMWF), JRA-55 (JMA), GISTEMPv4 (NASA), HadCRUT5 (Met Office Hadley Centre), NOAAGlobalTempv5 (NOAA) and Berkeley Earth. Right chart: European annual averages of near-surface temperature expressed as the anomaly relative to the pre-industrial period 1850-1900 according to the datasets used by the Copernicus Climate Change Service (C3S): ERA5 (C3S/ECMWF), JRA-55 (JMA), GISTEMPv4 (NASA), HadCRUT5 (Met Office Hadley Centre), NOAAGlobalTempv5 (NOAA) and Berkeley Earth.
This data viewer provides access to the latest air pollutant emission inventory reported to EEA by EU Member States under the National Emission reduction Commitments (NEC) Directive.
The figure shows the incidence rate of cases of Ischaemic Heart Disease attributable to road traffic noise in 31 member countries of the EEA in 2017 (latest year with complete data coverage).
Data submitted by countries up to 01/01/2021.
The figure shows the percentage of people who reported in the latest EU SILC survey that they were unable to keep their home warm, on account of deprivation, in the latest year for each country (2019)
The figure shows the rate of disability adjusted life years lost to cardiovascular diseases caused by work related risk factors in 2000 and 2016, by country of the EU-27
The figure shows the percentage of preventable cardiovascular deaths due to environmental risks, by country, for the latest year available (2019).
The figure shows the percentage of preventable cardiovascular deaths due to indoor and outdoor air pollution, by country, for the latest year available (2019)
This figure shows the condition of protected habitats in the EU-27 as reported by the Member States under Article 17 of the Habitats Directive (period 2013-2018). Restoration of protected habitats in not good condition is essential. It is also expected that a part of the protected habitats in unknow condition are in need of restoration.
The figure shows the development of packaging waste management in the EU-27 in the period 2010-2020, divided in three categories: recycling, energy recovery and other recovery, and other treatment (incl. landfill). The 'other' category is the difference between generated packaging waste and recovery. No further information is available about the treatment of non-recovered packaging waste.
The figure shows the development of municipal waste management in the EU-27 in the period 2010-2020, divided in four categories: recycling (material recycling and composting/digestion), incineration (energy recovery and incineration without energy recovery), and landfill. The 'other' category is the difference between generated municipal waste and treated municipal waste. It covers for losses during treatment (e.g. water loss during mechanical-biological treatment) and storage.
The figure shows the targets for the recycling of municipal waste and packaging waste (total and by material) and the target years as defined in the EU Waste Framework Directive and the EU Packaging and Packaging Waste Directive.
The left figure shows how many EU Member States have a high/medium/low share of their population covered by high convenience separate collection systems, for the following material types included in municipal waste: bio-waste, paper and cardboard, plastics, wood, glass, metals, textiles and Waste from Electrical and Electronic Equipment (WEEE). The right figure shows the share of each of these material types in the municipal waste.
On the x-axis the tax levels in EUR per tonne of waste incinerated are given, the dots in the graph represent the incineration tax for the specific Member State (MS). Some Member States use a minimum and maximum tax which is represented by two dots (lower and higher level) connected by a line. Further details are given the the Technical Note accompanying the briefing. EU average is calculated as a simple average of the tax level used by the MS, and for the MS using a minimum and a maximum, both the lower and uper level of the tax are taken into account, resulting in an average lower tax level and an average higher tax level.
On the x-axis the tax levels in EUR per tonne of waste lanfilled are given, the dots in the graph represent the landfill tax for the specific Member State (MS). Some Member States use a minimum and maximum tax which is represented by two dots (lower and higher level) connected by a line. Further details are given in the Technical Note accompanying the briefing. EU average is calculated as a simple average of the tax level used by the MS, and for the MS using a minimum and a maximum, both the lower and uper level of the tax are taken into account, resulting in an average lower tax level and an average higher tax level.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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