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The Renewable Energy Directive 2009/28/EC and its recast 2018/2001/EU commit the EU to achieving a 20 % share of renewable energy sources (RES) in its gross final energy consumption by 2020, and 32 % by 2030. They also set a target of 10 % share of renewable energy in transport by 2020, and 14% by 2030. Since early access to the most recent information on the growth of RES is relevant for all stakeholders, the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME) produce each year a set of early estimates concerning the RES shares achieved by the countries and the EU as a whole in the previous year. The current data set concerns the EEA 2021 RES share proxies. The cut-off date for most data sources incorporated in the calculation of the approximated RES shares is 31 July of the publication year.
The Governance of the Energy Union and Climate Action ((EU) 2018/1999) requires Member States to report national projections of anthropogenic GHG emissions. Every two years, each EU Member State shall report GHG projections in a ‘with existing measures’ scenario for the years 2020, 2025, 2030, 2035 and 2040, by gas (or group of gases) and by sector. National projections shall take into consideration any policies and measures adopted at Union level. The reported data are quality checked by the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME).
This data set contains current nitrogen (N) and critical phosphorus (P) concentrations and their exceedances of the current and required Nitrogen Use Efficiencies (NUE) in Europe. This data set has been compiled by the European Topic Centre on Urban, Land and Soil Systems (ETC/ULS) in the context of a study on metal and nutrient dynamics where the fate and dynamics of the most abundant heavy metals and nutrients in agricultural soils were investigated. The purpose of this study was to investigate the impacts of agricultural intensification in Europe, and to understand its environmental impact.
Vegetation phenology is the description of periodic plant life cycle events across the growing seasons. Vegetation phenology with remote sensing is typically monitored by means of time series of vegetation indices. Vegetation indices address the amount of green biomass and allow the differentiation of the intensity of photosynthetic activity. This in turn depends on the plant functional types and dynamics during the growing season. These time series datasets are made available as raster files with 500x 500m resolution, in ETRS89-LAEA projection corresponding to the MCD43 tiling grid, for those tiles that cover the EEA38 member countries and the United Kingdom and for two seasons in each year from 2000 onwards. It is updated in the first quarter of each year.
The Regulation (EU) No 2019/631 (and before that Regulation (EU) No 510/2011) requires Member States to record information for each new van registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new van registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2, mass of the vehicle, wheel base, track width, fuel type and fuel mode. Additional information, such as engine power and engine capacity were also submitted. Data for EU-28 are reported in the main database. Since 2018 Iceland and since 2019 Norway are also included in the database.
The Regulation (EU) No 2019/631 requires Countries to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2 (NEDC and WLTP protocols), masses of the vehicle, wheel base, track width, engine capacity and power, fuel type and mode, eco-innovations and electricity consumption. Data for EU-27 and UK are reported in the main database. Since 2018 Iceland is also included in the database. Since 2019 Norway is also included in the database. For downloading the data in the elastic data viewer please use Edge, Chrome, Firefox or Safari.
This dataset contains the location and administrative data for Large Combustion Plants in the Energy Community participating countries, as well as more detailed data on energy input and emissions to air. These data are reported to EEA under the Energy Community Treaty. Warning: Reporting countries have only recently started to report and it is expected that data quality will increase as experience in reporting consolidates. Countries will be correcting the reported data and updates will be posted accordingly. The metadata document provides further information on this matter. Data covers 2018-2021.
This entry points at data related to the "Exposure of vulnerable groups and social infrastructure to climate-related risks" viewer on the European Climate and Health Observatory platform. The viewer analyses the exposure of vulnerable populations (the elderly and unemployed) and social infrastructure (schools and hospitals) to the risk of flooding. It also presents the exposure of social infrastructure to the Urban Heat Island effect for 100 European cities.
This vector dataset provides the climate suitability index values (0-100%) for tiger mosquito (Aedes albopictus) for 100 European cities for the years 2008-2009 (P90 - 90th percentile). Aedes Albopictus has become a common occurrence in Southern Europe and transmits diseases such as Zika, dengue and chikungunya. The climatic suitability for tiger mosquito depends on factors such as sufficient amounts of rainfall, high summer temperatures and mild winters. Climate change is anticipated to further facilitate the spread of tiger mosquitoes across Europe by changing temperature and precipitation patterns, thereby increasing the suitable habitat.
Aggregated data on 'Consumption of ozone-depleting substances (ODS)'. Data reported by companies to the European Environment Agency (EEA) under Article 27 of Regulation (EC) No 1005/2009 (EU Ozone Regulation). Data reported by companies on the production, import, export, destruction, and use of ozone-depleting substances in the EU-27 plus United Kingdom, 2006-2021.
This raster data set corresponds to the above ground vegetation biomass productivity time-series for the period 2000-2016. The data set addresses trends in land surface productivity derived from remote sensing observed time series of vegetation indices. The vegetation index used in the indicator is the Plant Phenology Index (PPI, Jin and Eklundh, 2014). PPI is based on the MODIS Nadir BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR. The product provides reflectance data for the MODIS “land” bands (1 - 7) adjusted using a bi-directional reflectance distribution function. This function models values as if they were collected from a nadir-view to remove so called cross-track illumination effects. The Plant Phenology Index (PPI) is a new vegetation index optimized for efficient monitoring of vegetation phenology. It is derived from radiative transfer solution using reflectance in visible-red (RED) and near-infrared (NIR) spectral domains. PPI is defined to have a linear relationship to the canopy green leaf area index (LAI) and its temporal pattern is strongly similar to the temporal pattern of gross primary productivity (GPP) estimated by flux towers at ground reference stations. PPI is less affected by presence of snow compared to commonly used vegetation indices such as Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI). The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 5-days compositing period.
Data on emissions of air pollutants (ammonia (NH3), non-methane volatile organic compounds (NMVOC), nitrogen oxides (NOx), particulate matter 2.5 (PM2.5) and sulphur dioxide (SO2)) reported annually by Member States to the European Commission (with copies to EEA) under Directive 2016/2284 of the European Parliament and of the Council on the reduction of national emissions of certain atmospheric pollutants.
Data on emissions of air pollutants submitted to the LRTAP Convention and copied to EEA
This data has been calculated by EEA based on Eurostat consumption trend data, EXIOBASE and the Environmental Footprint (EF). The calculations summarize the level of consumption footprint in million points (the environmental and climate impacts that result from EU citizens’ consumption) for EU27 member countries between 2010 to 2020, and the level of consumption footprint in points per capita (the environmental and climate impacts that result from EU citizens’ consumption) for EU27 member countries in 2020 compared to 2010.
The European inventory of nationally designated protected areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. This is version 20 and covers data reported until March 2022.
The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September
Waterbase is the generic name given to the EEA's databases on the status and quality of Europe's rivers, lakes, groundwater bodies and transitional, coastal and marine waters, on the quantity of Europe's water resources, and on the emissions to surface waters from point and diffuse sources of pollution.
The concept of High Nature Value (HNV) farmland describes the link between extensive farming systems and their use of semi-natural land and the conservation of high biodiversity in agricultural landscapes. The HNV farmland data set supports analysis of the distribution and extent of farmland that holds a special biodiversity value and enables an analysis of spatial patterns and time trends. The data set presented here shows a 2017 update of the time series for the years 2000 and 2012 on the basis of the Corine Land Cover (CLC) accounting layers 2000 and 2012. This recalculation of the HNV farmland time series based on the CLC accounting layers ensures full coherence of the data points and enables a correct calculation of changes between HNV 2000 and HNV 2012. Please note that the JRC/EEA HNV farmland methodology is currently being revised and an updated time series for the years 2000 to 2018 will be published by the end of 2022.
The European Red List of Habitats provides an assessment of the risk of collapse of marine, terrestrial and freshwater natural and semi-natural habitats based on a consistent set of criteria and categories and detailed data and expertise. The geographical coverage is the European Union and adjacent regions. The European Red List of Habitats project was funded by the European Commission. Subsequent projects carried out by the European Environment Agency (EEA) and European Red List habitats project coordinators further refined the codes and names and enhanced crosslinks to other habitat typologies.
The Emerald Network is an ecological network made up of Areas of Special Conservation Interest. The objective of the Emerald Network is the long-term survival of the species and habitats. This version covers the reporting in 2021.
For references, please go to https://www.eea.europa.eu/data-and-maps/data or scan the QR code.
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