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This dataset contains the location and administrative data for the largest industrial complexes in Europe, releases and transfers of regulated substances to all media, waste transfers as well as more detailed data on energy input and emissions for large combustion plants. These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.
The figure shows marine protected areas coverage in the EU in 2012-2021.
Even though the export of used textiles from the EU has been increasing, in 2019, the EU was no longer the most important exporting region of the world. In 2000 the EU was responsible for more than 45% of the total exports of used textiles worldwide but its share has declined consistently since, and in 2019 Asia (37%) exported more used clothing than the EU (33%).
Between 2000 and 2019, the export of used textiles from the EU increased from a little over 550,000 tonnes in 2000, to almost 1.7 million tonnes in 2019-3.8 kilograms per person in 2019.
Throughout the past two decades, Africa has been the main receiving continent of used textiles from the EU. But by the end of the period, Asia had significantly increased its share and by 2019 was almost as big as Africa as can be seen from Figure 3 below. In 2000, Africa imported more than 60% of all EU exports, and Asia 26%. In 2019 the proportions had drastically changed to respectively 46% and 41%, meaning that the two continents were almost importing an equal share of the used textiles that the EU exported. Non-EU European countries have imported a small proportion of EU used textiles, around 10%, which has remained relatively constant over the years. North and South America, and Oceania imported 0-2% of EU exports, see Figure 3.
The combo charts show the number of new introductions of non-indigenous species (NIS) (dots with trendline, primary axis) and the cumulative number of NIS by main species group (stacked columns, secondary axis) reported in Europe’s marine subregions, per 6-year interval between 1970 and 2017.
The figure shows the number of new non-indigenous species (NIS) reported by marine region. The line-bar chart shows the total number of new introductions of NIS (grey bars) and by main species group (lines) reported in Europe’s seas combined and by marine region, per 6-year interval between 1970 and 2017. The stacked column charts show the cumulative number of new NIS introductions by main species group, in Europe’s seas combined and by marine region, per 6-year interval between 1970 and 2020.
The pie chart shows the share of the different pathways of introduction of new non-indigenous species (NIS) to Europe's seas over the years 1970 to 2020. The category 'Other' includes several modes of introduction, namely 'Transport-stowaway: other', 'release in nature', 'escape from confinement', 'corridor' and 'unknown'. The stacked column chart shows the trend in the number of new NIS by pathway of introduction between 1970 and 2017, on a 6-year cycle. While introductions by Transport-Stowaway (ballast water, hull fouling and others) remain the prevalent mode, 'unaided' and 'escape from confinement' have grown in importance in the latest assessment cycles.
This dataset contains the list of all-know and verified records of non-indigenous species (NIS) in Europe’s seas, last updated in October 2022, and used to produce the EEA marine indicator on "Marine non-indigenous species in Europe's seas" (MAR002). MSFD D2: "Marine Strategy Framework Directive Descriptor 2"
Annual total water abstraction considered by economic sector i.e. agriculture (including forestry and fishing), electricity cooling, manufacturing cooling, manufacturing, mining and quarrying, construction and public water supply, as defined in NACE (Statistical Classification of Economic Activities in the European Communities) sections. Hydropower is excluded.
Water abstraction is from groundwater and surface water. Surface water contains water abstraction from rivers, reservoirs and lakes. The figure illustrates total annual water abstraction from groundwater and surface water by economic sector, i.e. agriculture, electricity cooling, manufacturing cooling, manufacturing, mining and quarrying, construction and public water supply, as defined in NACE (Statistical Classification of Economic Activities in the European Communities) sections. Hydropower is excluded.
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.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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