Global search on data, maps and indicators
The figure shows the change, in percentage points, in the contribution of buses and trains (collective transport modes) to total inland passenger transport (left panel) and inland waterways and trains (non-road modes) to total freight transport (right panel) by country for the period 2005-2020.
The figure shows the share of bus and trains (collective modes) and of inland waterways and trains (non-road modes) in total inland passenger and freight transport activity respectively in the EU-27.
The figure shows three different descriptors of the quantity of marine litter by marine region.
The MALT tool assesses status with respect to maring litter, assigning a class of High, Good, Moderate, Poor or Bad. The larger figure shows the sum of assessed area having each of the status classes across Europe's Seas and the four smaller figures shows the summarizerd area for each status class within four regions: (1) Baltic Sea, (2) North-east Atlantic Ocean, (3) Mediterranean Sea and (4) Black Sea
See report Marine Litter in Europe-An integrated assessment from source to sea (https://forum.eionet.europa.eu/etc-icm-consortium/library/subvention-2022/tasks-and-milestones-2022/1.1.8.1-marine-litter-assessment/milestone-2-addressing-comments-eea-and-finalization-assessment-report/final-version-november-2022-eea-approval/etc-icm_marine-litter-assessment_master_v5.2_06112022_for-eea-approval)
The figure shows the change in plastics demand for packaging in Europe
The map shows the spatial distribution of Floating Macrolitter Loading from Europe into the ocean based on mean-based modelled estimates calculated using the RIMMEL database. The coloured dots represent litter loading predicted on the basis of the Mamanaged Waste in each individual drainage basin, including permanent rivers, non-permanent rivers and streams.
The figure shows Gross Domestic Product (GDP) and plastic packaging waste generated per person in EU-27, between 2011 and 2020, and total waste generation between 2010 and 2020.
The figure shows estimated Market Demand in 2021 for the EU-27 plus United Kingdom, Switzerland, and Norwey in percentages. The above data are rounded estimations. Demand data are built on estimations of quantities bought by European converters, including imports. Demand for recycled plastics and bio-based/bio-attributed plastics is not included. Polymers that are not used in the conversion of plastic parts and products (i.e. for textiles, adhesives, sealants, coatings, etc.) are not included.
See report Marine Litter in Europe-An integrated assessment from source to sea (https://forum.eionet.europa.eu/etc-icm-consortium/library/subvention-2022/tasks-and-milestones-2022/1.1.8.1-marine-litter-assessment/milestone-2-addressing-comments-eea-and-finalization-assessment-report/final-version-november-2022-eea-approval/etc-icm_marine-litter-assessment_master_v5.2_06112022_for-eea-approval)
The figure shows the change in plastics demand for packaging in Europe.
Peak and 2100 concentrations of total greenhouse gases in the atmosphere consistent with a 67% probability of keeping the average global temperature increase below 1.5°C (left) and 2°C (right) are shown. The periods within which peak concentrations could be exceeded are shown by light blue arrows, based on the trend of the past 10 years in total greenhouse gas concentrations and without allowing for a temperature overshoot (based on IPCC, 2018)
The example present results from EEA's regular mapping for the indicators ‘Imperviousness and imperviousness change in Europe’, for the inventory year 2018.
Time series (1870-2021) 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 (1850-2021), ERSSTTv5 (1880-2021), HadISST1 (1870-2021) and satellite-based ESA CCI/C3S SST Climate Data Record v2.1 (1991-2021).
Water exploitation index plus (WEI+) illustrates the percentage of water use versus water available in the respective subbasin.
The graph presents trend with the area of the European Union affected by water scarcity conditions between 2000-2019. Water scarcity conditions is adopted, i.e. when WEI+ values are above 20% for at least a quarter of the year in a given river sub basin; annual quarters are: Q1 (January-March), Q2 (April-June), Q3 (July-September), Q4 (October-December). No sufficient data available from Italy, hence Italian river basins have not been included in the analysis.
This figure gives an overview of the worst quarterly water scarcity conditions (maximum WEI+ in a consecutive 3-month period) of 2019 across countries in Europe. Seasonal WEI+ values are estimated as quarterly averages per country. The worst quarter of the year for water scarcity conditions is provided in brackets next to the name of the country. Annual quarters are: Q1 (January-March), Q2 (April-June), Q3 (July-September), Q4 (October-December). No data is available for Montenegro and Lichtenstein.
EU underwater noise energy (J) by sea, 2014-2020
11 Jan 2023The figure shows EU underwater radiated noise (URN) emissions per sea basin per year.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
PDF generated on 29 Jan 2023, 01:04 PM