Coreia do Sul

The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015

The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilisers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.

The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.

This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database. In their reporting to the DAC CRS, donors are requested to indicate for each activity whether or not it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification). A scoring system of three values is used, in which aid activities are "marked" as targeting environment as the "principal objective" or a "significant objective", or as not targeting the objective. The environment marker identifies activities that are "intended to produce an improvement in the physical and/or biological environment of the recipient country, area or target group concerned" or "include specific action to integrate environmental concerns with a range of development objectives through institution building and/or capacity development". A large majority of activities targeting the objectives of the Rio Conventions fall under the DAC definition of "aid to environment". The Rio markers permit their specific identification.

This dataset describes the emissions to the atmosphere released as a result of production and consumption processes. The productive activities are broken down by economic activity and the household consumption activities are broken down by purpose (transport, heating, and other activities). Air emissions include emissions of individual greenhouse gases (GHG) as well as air pollutants such as sulphur dioxide, nitrogen oxides, and particulate matter. The emissions are also aggregated (using equivalence factors) to report on environmental pressures: global warming potential, acidifying gases and ozone precursors.

This metadata refers to three datasets based on the data collection on air emissions accounts (AEA): 1.Air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2] This data set reports the emissions of greenhouse gases and air pollutants broken down by 64 industries (classified by NACE Rev. 2) plus households. Concepts and principles are the same as in national accounts. Complete data starts from reference year 2008. 2. Air emissions intensities by NACE Rev. 2 activity [env_ac_aeint_r2] This data set presents intensity-ratios relating AEA emissions (see previous) to economic parameters (value added, production output) for 64 industries (classified by NACE Rev. 2). 3. Air emissions accounts totals bridging to emission inventory totals [env_ac_aibrid_r2] This data set includes so-called bridging items showing the differences between the national totals as derived from two internationally established approaches/methods for reporting emissions of greenhouse gases and air pollutants: a) Air emissions accounts (AEA), i.e. the dataset mentioned above under 1. The AEA national totals refer to the residents of the reporting country (so-called residence principle as established in national accounts). b) National emission inventories, i.e. greenhouse gas inventories (providing emission data under the United Nations Framework Convention on Climate Change (UNFCCC)) and air pollutant inventories (providing emission data under the United Nations Economic Commission for Europe (UNECE), Convention on Long-range Transboundary Air Pollution (CLRTAP) and the EU National Emission Ceilings Directive (NEC). The national totals refer widely to the territory of the reporting country. The European Environment Agency (EEA) collects national inventories for greenhouse gases and other air pollutants and compiles the EU aggregates. Eurostat republishes the most relevant data from these inventories in [env_air_emis] and [env_air_gge]. The two methodologies are based on slightly different concepts and principles and the totals at national and EU level correspondingly differ. The bridging items explicitly present these differences.

This metadata refers to three datasets based on the data collection on air emissions accounts (AEA): 1.Air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2] This data set reports the emissions of greenhouse gases and air pollutants broken down by 64 industries (classified by NACE Rev. 2) plus households. Concepts and principles are the same as in national accounts. Complete data starts from reference year 2008. 2. Air emissions intensities by NACE Rev. 2 activity [env_ac_aeint_r2] This data set presents intensity-ratios relating AEA emissions (see previous) to economic parameters (value added, production output) for 64 industries (classified by NACE Rev. 2). 3. Air emissions accounts totals bridging to emission inventory totals [env_ac_aibrid_r2] This data set includes so-called bridging items showing the differences between the national totals as derived from two internationally established approaches/methods for reporting emissions of greenhouse gases and air pollutants: a) Air emissions accounts (AEA), i.e. the dataset mentioned above under 1. The AEA national totals refer to the residents of the reporting country (so-called residence principle as established in national accounts). b) National emission inventories, i.e. greenhouse gas inventories (providing emission data under the United Nations Framework Convention on Climate Change (UNFCCC)) and air pollutant inventories (providing emission data under the United Nations Economic Commission for Europe (UNECE), Convention on Long-range Transboundary Air Pollution (CLRTAP) and the EU National Emission Ceilings Directive (NEC). The national totals refer widely to the territory of the reporting country. The European Environment Agency (EEA) collects national inventories for greenhouse gases and other air pollutants and compiles the EU aggregates. Eurostat republishes the most relevant data from these inventories in [env_air_emis] and [env_air_gge]. The two methodologies are based on slightly different concepts and principles and the totals at national and EU level correspondingly differ. The bridging items explicitly present these differences.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS) (1),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Generally, only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders. (1) This designation shall not be construed as recognition of a State of Palestine and is without prejudice to the individual positions of the Member States on this issue.

The European Union (EU) as a party to the Convention on Long-range Transboundary Air Pollution (LRTAP Convention) reports annually its air pollution inventory for the year t-2 and within the area covered by its Member States. Under the Convention, parties are obliged to report emissions data for numerous air pollutants. This dataset includes data on air pollutants: sulphur oxides (SOx), ammonia (NH3), nitrogen oxides (NOx), non-methane volatile organic compounds (NMVOCs), particulate matters (PM10, PM2.5), Lead (Pb), Cadmium (Cd), Mercury (Hg), Arsenic (As), Chromium (Cr) Copper (Cu), Nickel (Ni), Selenium (Se) and Zinc (Zn), as reported to the European Environment Agency (EEA). The EU inventory is fully consistent with national air pollution inventories compiled by the EU Member States. Note that Eurostat is not the producer of these data, only re-publishes them. The producer of the data is the European Environment Agency.    Remarks: (1) Data for EL, PL, MT, RO and EU contain incosistencies (sum of components does not equal to total).   

This database includes annual, quarterly and monthly information on carbon dioxide (CO2) emissions related to commercial passenger, freight, and general aviation flights, on both a territory and a residence basis, for 186 countries. These CO2 emissions are estimated by the OECD, based on a consistent methodology across countries. The main source used for the estimation of these CO2 emissions is a database compiled by the International Civil Aviation Organisation (ICAO) with all commercial passenger and freight flights around the world.

This indicator is defined as the average emissions of carbon dioxide per kilometre by new passenger cars registered in a given year.

20.1. Source data

The indicator is defined as the average carbon dioxide (CO2) emissions per km by new passenger cars in a given year. The reported emissions are based on type-approval and can deviate from the actual CO2 emissions of new cars.

20.1. Source data

Biochemical oxygen demand (BOD) is used to measure water quality. It refers to the amount of oxygen required by aerobic microorganisms to decompose organic substances in a water sample over a period of five days in the dark at 20°C (BOD5), measured as milligrams per litre (mg O2/L) and weighted by the number of measuring stations. High values of BOD5 are usually a sign of organic pollution, which affects the water quality. The cleanest rivers have BOD5 values of less than 1 mg O2/L, moderately and heavily polluted rivers show values ranging from 2 to 8 mg O2/L. Only complete series after inter/extrapolation are presented. For details on the total of measuring stations and their distribution over the countries, please consult the metadata file.

The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections. Note:  1. For the below indicators "Converted data from Exajoules to Million tonnes ((Exajoules value *23884589.66)/1000000)=Million tonnes" Coal Consumption, Million tonnes oil equivalent Coal Production, Million tonnes oil equivalent Natural gas Consumption, Million tonnes oil equivalent Natural gas Production, Million tonnes oil equivalent Hydroelectricity Consumption, Million tonnes oil equivalent Nuclear energy Consumption, Million tonnes oil equivalent Oil Consumption, Million tonnes oil equivalent Primary energy Consumption, Million tonnes oil equivalent Primary Energy Consumption by fuel: Coal, Million tonnes oil equivalent Primary Energy Consumption by fuel: Oil, Million tonnes oil equivalent Primary Energy Consumption by fuel: Natural Gas, Million tonnes oil equivalent Primary Energy Consumption by fuel: Nuclear Energy, Million tonnes oil equivalent Primary Energy Consumption by fuel: Hydro electric, Million tonnes oil equivalent Primary Energy Consumption by fuel: Renewables, Million tonnes oil equivalent Primary Energy Consumption by fuel: Total Consumption, Million tonnes oil equivalent Renewable Consumption, Million tonnes oil equivalent Renewables Consumption - Solar, Million tonnes oil equivalent Renewables Consumption - Wind, Million tonnes oil equivalent Renewables Consumption - Geothermal, Biomass and Other, Million tonnes oil equivalent 2. For the below indicator "Converted data from Petajoules to Thousand tonnes ((Petajoules Values* 23884.58966275)/1000)=Thousand tonnes" Renewable energy - Bio-fuels Production, Thousand tonnes of oil equivalent

Eurostat Dataset Id:cpc_enclimwa  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)

Eurostat Dataset Id:cpc_sienv  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)

OECD Indicators on Carbon dioxide (CO2) emissions embodied in international trade (TeCO2) are derived by combining the 2021 editions of OECD Inter-Country Input-Output (ICIO) Database and of International Energy Agency (IEA) statistics on CO2 emissions from fuel combustion. In this release of TeCO2, emissions from fuels used for international aviation and maritime transport (i.e. aviation and marine bunkers) are also considered.Production-based CO2 emissions are estimated by allocating the CO2 emissions to the 45 target industries in OECD ICIO and, to household final consumption of fuels, by both residents and non-residents.Demand-based CO2 emissions are calculated by multiplying the intensities of the production-based emissions (c) with the global Leontief inverse (I-A)(-1) and global final demand matrix (Y) from OECD ICIO, taking the column sums of the resulting matrix and adding residential and private road emissions (FNLC), i.e. direct emissions from final demand: colsum [ diag(c) (I-A)(-1) Y ] + FNLC.For more information, see TeCO2 web page: http://oe.cd/io-co2.

This indicator reports the amount of carbon emissions from fossil fuel combustion embodied in imports and exports in mega tonnes of CO2 (MtCO2) for 63 countries and 34 industries between 1995 and 2011.

The indicator reports the hypothetical amount of carbon emissions from fossil fuel combustion embodied in imports if imported goods were produced with a carbon intensity (i.e. emissions factors) equal to that of the importing country at a given time – the Equal Carbon Intensity (ECI) assumption. It covers 65 countries and 34 industries between 1995 and 2011.

Consumption-based accounting (CBA) of emissions (also known as carbon footprints) accounts for emissions associated with imported and exported goods. CBA reports the total emissions associated with final demand in each country. Production-based accounting (PBA) -accounts for  physically occurring emissions in a country or territorial emissions. 

The indicator measures the total artificial area with its subunits of i) total built-up area and ii) total artificial non built-up area as a share of the total surface area of land in the country. Built-up areas are areas covered with buildings and greenhouses whereas artificial non built-up areas include streets and sealed surfaces. The data refers to the land use/cover area survey (LUCAS). Data are available for years 2009 and 2012. For 2009, the EU aggregate provided regards only 23 countries (BG, CY, MT, RO are missing). The LUCAS survey is conducted every three years. Comparability over time should be treated with caution due to the changes in the total coverage, the amendments introduced in the classification for the 2012 survey and the time that has elapsed since the first phase sample was stratified. More information can be found here.

20.1. Source data

20.1. Source data

This indicator is an aggregated index integrating the population abundance and the diversity of a selection of common bird species. Rare species are excluded. Three groups of bird species are presented in this indicator: farmland specialists (39 species), forest specialists (33 species) and all common bird species (farmland species, forest species and a further 91 species). The indicator is produced by the European Bird Census Council (EBCC) and its Pan-European Common Bird Monitoring Scheme (PECBMS) programme.   Farmland birds use and have a high dependence on cultivated land during the nesting season, and for feeding during most of the year. The same species are monitored in all the Member States. Data is represented relative to the year 1990 which is equated to 100, in order to get a balance between availability of data from Member States (increases with time), and a historical perspective to counterbalance annual fluctuations present in the data. It is considered more meaningful to judge the indicator relative to a baseline year than to the previous adjacent year because of these fluctuations.   Although this indicator has a narrow focus compared to the EU policy objectives on biodiversity and ecosystem services, it is considered to be the best available dataset and also to be indicative of general environmental status. Data are for the EU, an aggregate that changes according to countries joining the Pan-European Common Birds Monitoring Scheme (PECBMS). This aggregate has nothing to do with the same countries' accession to the EU. Norway and Switzerland are not included in the EU estimates.   For more information on the use of bird population data as a general indicator of environmental status, see: Wild bird indicators: using composite population trends of birds as measures of environmental health.  The indicator is a Sustainable Development Indicators (SDI). It has been chosen for the assessment of the EU progress towards the targets of the Sustainable Development Strategy. It is also a Resource Efficiency Indicator, as it has been chosen for the assessment of the progress towards the objectives and targets of the Europe 2020 flagship initiative on Resource Efficiency and is presented in the EU Resource Efficiency Scoreboard.   tsdnr100's table in 'Tables by theme': Eurobase>Tables by themes>Environment and energy> Environment> Biodiversity > Common bird index (tsdnr100) tsdnr100's table within the SDI set: Eurobase>Tables on EU policy> Sustainable Development Indicators > Natural resources > Common bird index (tsdnr100) tsdnr100´s table within the Europe 2020 set: Eurobase > Tables on EU policy > Europe 2020 Indicators > Resource efficiency > Natural capital and ecosystem services > Biodiversity > Common bird index (tsdnr100)

Annual data on biodiversity are published under agreement with the data providers - partners that are also responsible for the data quality. Eurostat does not receive any of these data from the Member States. In principle, these data are updated on a yearly basis, but there is no annual deadline for the updates, because they depend entirely on the  data providers' ability to deliver. Eurostat's role is to check data quality, give feedback to the data providers and publish the data it deems to be reliable. Eurostat should therefore NOT be quoted as the source. The topics covered and data providers are: Protected areas: The European Commission Directorate-General for the Environment is the source; the European Environment Agency and its European Topic Centre on Biological Diversity also work with the data Birds: The European Bird Census Council (EBCC) and its Pan-European Common Bird Monitoring Scheme (PECBMS) programme. The source to be quoted is EBCC/RSPB/BirdLife/Statistics Netherlands

Eurostat Dataset Id:med_en23 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to "public" sewerage networks and related treatment facilities, and the percentage of national population connected to "public" wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100%. It may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries' definitions, as reflected in metadata. Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)

GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated organic soils under cropland (item: cropland organic soils) and grassland (item: grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. Data cited at: https://www.ncei.noaa.gov/data/global-summary-of-the-day/archive/

This dataset traces net changes in terms of volume in the growing stock of standing wood on forest land. Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators, in particular land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. Please bear in mind that definitions and estimation methods vary for some countries.

The design capacity of waste water treatment plants is characterised by the total quantity of oxygen-demanding material that can be treated daily with a certain efficiency. For biological treatment plants the BOD-capacity is mostly limited by the oxygenation capacity, i.e. the quantity of oxygen that can be brought into the water to keep the oxygen concentration on a suitable level.

18.1. Source data

The indicator is based on 16 sub-indicators from eight contributors in five thematic areas: eco-innovation inputs, eco-innovation activities, eco-innovation outputs, resource efficiency outcomes and socio-economic outcomes. The overall score of an EU Member State is calculated by the unweighted mean of the 16 sub-indicators. It shows how well individual Member States perform in eco-innovation compared to the EU average, which is equated with 100 (index EU=100). The index complements other measurement approaches of innovativeness of EU countries and aims to promote a holistic view on economic, environmental and social performance. The relevant target in the Roadmap to a Resource Efficient Europe is for an increase in the funding for research that contributes to the environmental knowledge base. Such increases will tend to improve a Member State’s positioning according to the index. This indicator is published by the Eco-Innovation Observatory.

This indicator is defined as the number of Ecolabel or "EU Flower" licences in European countries. The Community Ecolabel is awarded to products and services with reduced environmental impacts. It is administered by the European Commission and receives the support of all EU Member States and the European Free Trade Association (EFTA). Ecolabel criteria are discussed in the European Union Ecolabelling Board (EUEB) whose membership includes representatives from industry, environmental protection groups, consumer organisations and representatives for SMEs.

The OECD, in cooperation with the EU, has developed a harmonised definition of urban areas which overcomes previous limitations linked to administrative definitions (OECD, 2012). According to this definition an urban area is a functional economic unit characterised by densely inhabited “city core” and “commuting zone” whose labour market is highly integrated with the core. The Metropolitan database provides indicators of 649 OECD metropolitan areas identified in 33 OECD countries and the functional urban areas of Colombia. Comparable values of population, GDP, employment, and other indicators are presented.

Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.

Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided

GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.

GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.

Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.

Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.

Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.

The FAOSTAT domain Organic soils consist of nitrous oxide (N2O) and carbon dioxide (CO2) emissions associated with the drainage of organic soils ? using histosols as proxy ? for agriculture. Data are computed geospatially, using the Tier 1 method of the 2006 IPCC Guidelines for National greenhouse gas Inventories (IPCC, 2006). Estimates are available by country and with global coverage, in complete time series for the period 1990?2019. The database is updated annually. The FAOSTAT domain Organic soils disseminates information by country on: activity data (in hectares of organic soils drained for agriculture); and greenhouse gas (GHG) emissions (in kilotonnes of N2O and CO2). Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ??cropland?? and ??permanent meadows and pastures.?? Data are available for all countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups. This FAOSTAT domain also disseminates the activity data and emissions data reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC), under ?Cultivation of organic soils? for the N2O component and categories ?Cropland drained organic soils? and ?Grassland drained organic soils? for the CO2. Activity data are sourced from the most recently available GHG National Inventories (NGHGI) or from National Communications. Emission data are sourced directly from the UNFCCC data portal or from Biennial Update Reports (BURs). UNFCCC data are disseminated in FAOSTAT with permission, formalized via a FAO-UNFCCC Memorandum of Understanding.

This dataset provides selected information on national emissions of air pollutants: man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter (PM), carbon monoxide (CO) and volatile organic compounds (VOC). Categories presented are based on the NFR (nomenclature for reporting) 2014 classification. 

This indicator tracks trends in anthropogenic atmospheric emissions of ammonia by source sector.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdpc290's table: Eurobase > Tables by themes> Environment and Energy > Environment > Greenhouse gases / Air Pollution > Emissions of ammonia (NH3), by source sector(tsdpc290) tsdpc290's table within the SDI set: Eurobase > Tables on EU policy > Sustainable Development Indictors > Sustainable consumption and production > Resource use and waste >Emissions of ammonia (NH3), by source sector(tsdpc290)

The dataset presents estimates of air emissions 'embodied' in products (goods and services) for final use - also referred to as 'footprints'. The estimates are the result of environmental input-output modelling for the aggregated European Union (EU) economy. For example, the carbon footprint is a measure of how much CO2 was emitted along the full production chain of a product that ends up in the EU as final consumption or investment, irrespective of the industry or country where the CO2 emission occurred. These emissions are sometimes referred to as emissions 'embodied' in EU consumption, although they are not literally included in the final products, and these products are not only consumed, but may also be investment goods. Air emission footprints offer a complementary perspective to greenhouse gas inventories and air emissions accounts. The latter two record emissions on the production side, at the origin of the emissions. In contrast, carbon footprints are estimated from the perspective of the final product and where it ends up, and are therefore also referred to as consumption-based accounts.   The model estimations are based on two main source datasets (see 18.1 for more detail): ESA supply, use and input–output tablesAir emissions accounts    The dataset reports on emissions of greenhouse gases and air pollutants from final use of products for: European Union2008-2016using the CPA 2008 classificationwithin the ESA 2010 framework   Estimates for the most recent year in the dataset (t) are estimated based on early estimates of air emissions accounts for year t.    Footprints can be derived from this dataset by combining the estimates for final consumption expenditure (P3) and gross capital formation (P5) from the dimension INDUSE (for ORIGIN equal to Total/WORLD).   The underlying modelling assumes that the production technology in the rest of the world economy is the same as in the EU. Hence, the estimated 'embodied' emissions in the rest of the world constitute rather emissions avoided in the EU production system. For carbon dioxide (CO2) the difference between 'avoided in EU' and 'actually emitted in rest of the world' is most likely smaller than for other pollutants such as sulphur dioxide (SO2) for which very efficient abatement technologies were introduced in the EU.

The dataset presents estimates of air emissions 'embodied' in products (goods and services) for final use - also sometimes referred to as 'footprints'. The estimates are the results of environmental input-output modelling for the aggregated EU-27 economy. The model estimations are based on two main data sets: 1) ESA supply, use and input–output tables (consolidated tables - naio_agg_60) and 2) air emissions accounts (env_ac_ainah_r1). Data is published in two tables as part of the air emissions accounts database: table env_ac_io presents data for years 2000-2007 using CPA 2002 classification; table env_ac_io2 covers years 2008 and 2009 in CPA 2008 breakdown. The underlying modelling assumes that the production technology in the rest of the world economy is the same as in the EU-27. Hence, the estimated 'embodied' emissions in the rest of the world constitute rather emissions avoided in the EU-27 production system. For carbon dioxide the difference between 'avoided in EU-27' and 'actually emitted in rest of the world' is most likely smaller than for other pollutants such as sulfur dioxide for which very efficient 'abatement-technologies' were introduced in the European Union.

The dataset presents estimates of air emissions 'embodied' in products (goods and services) for final use - also sometimes referred to as 'footprints'. The estimates are the results of environmental input-output modelling for the aggregated EU-27 economy. The model estimations are based on two main data sets: 1) ESA supply, use and input–output tables (consolidated tables - naio_agg_60) and 2) air emissions accounts (env_ac_ainah_r1). Data is published in two tables as part of the air emissions accounts database: table env_ac_io presents data for years 2000-2007 using CPA 2002 classification; table env_ac_io2 covers years 2008 and 2009 in CPA 2008 breakdown. The underlying modelling assumes that the production technology in the rest of the world economy is the same as in the EU-27. Hence, the estimated 'embodied' emissions in the rest of the world constitute rather emissions avoided in the EU-27 production system. For carbon dioxide the difference between 'avoided in EU-27' and 'actually emitted in rest of the world' is most likely smaller than for other pollutants such as sulfur dioxide for which very efficient 'abatement-technologies' were introduced in the European Union.

This indicator tracks trends in anthropogenic atmospheric emissions of nitrogen oxides (NOx) by source sector. The indicator also provides information on emissions by sectors: Energy production and distribution; Energy use in industry; Industrial processes; Road transport; Non-road transport; Commercial, institutional and households; Solvent and product use; Agriculture; Waste; and Other.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdpc270´s table: Eurobase > Tables by themes > Environment and energy > Environment > Greenhouse gases/Air polltuon > Emissions of nitrogen oxides (NOx) by source sector (tsdpc270) tsdpc270´s table within the Sustainable Development Indicators (SDI) set: Eurobase > Tables on EU policy > Sustainable development indicators > Sustainable consumption and production > Resources use and waste > Emissions of nitrogen oxides (NOx) by source sector (tsdpc270)

This indicator tracks trends in anthropogenic atmospheric emissions of nitrogen oxides caused by transport. Separate values are available for emissions from road and from non-road transport.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdtr430´s table within the SDI set: Eurobase > Tables on EU policy > Sustainable Development Indicators > Sustainable Transport > Transport Impacts > Emissions of Nitrogen Oxides (NOx) from Transport (tsdtr430)

The indicator tracks trends since 1990 in anthropogenic atmospheric emissions of non-methane volatile organic compounds (NMVOCs) by source sector. The indicator also provides information on emissions by sectors: Energy production and distribution; Energy use in industry; Industrial processes; Road transport; Non-road transport; Commercial, institutional and households; Solvent and product use; Agriculture; Waste; Other.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdpc280´s table: Eurobase > Tables by themes > Environment and energy > Environment > Greenhouse gases/Air polltuon > Emissions of non-methane volatile organic compounds (NMVOC) by source sector (tsdpc280) tsdpc280´s table within the Sustainable Development Indicators (SDI) set: Eurobase > Tables on EU policy > Sustainable development indicators > Sustainable consumption and production > Resources use and waste > Emissions of non-methane volatile organic compounds (NMVOC) by source sector (tsdpc280)

This indicator tracks trends in atmospheric emissions of particulate matter caused by transport. PM2.5 refers to particulate matter with a diameter of up to 2.5 micrometres. Particulate matter potential for causing health problems is directly linked to the size of the particles.

This indicator tracks trends in anthropogenic atmospheric emissions of sulphur oxides by source sector. The indicator also provides information on emissions by sectors: Energy production and distribution; Energy use in industry; Industrial processes; Road transport; Non-road transport; Commercial, institutional and households; Solvent and product use; Agriculture; Waste; Other.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdpc260´s table: Eurobase > Tables by themes > Environment and energy > Environment > Greenhouse gases/Air pollution > Emissions of sulphur oxides (SOx) by source sector (tsdpc260) tsdpc260´s table within the Sustainable Development Indicators (SDI) set: Eurobase > Tables on EU policy > Sustainable development indicators > Sustainable consumption and production > Resources use and waste >Emissions of sulphur oxides (SOx) by source sector (tsdpc260)

As of Jun 2021, estimates of greenhouse gas (GHG) emissions from agriculture and land use are disseminated under the FAOSTAT heading Climate Change/Emissions. This heading consolidates and replaces two previous distinct headings: Emissions-Agriculture and Emissions-Land Use, which no longer exist. Several other domains were consolidated to facilitate data access. https://fenixservices.fao.org/faostat/static/documents/GT/README_Changes_in_2021.pdf   The domain Emissions Totals consolidatesin one single dataset the information previously presented in two separate datasets: Agriculture total (previously: http://www.fao.org/faostat/en/#data/GT; containing data on non-CO2 emissions from agriculture); and Land Use total (previously: http://www.fao.org/faostat/en/#data/GL; containing CO2 and non-CO2 emissions from land use, land use change and forestry. This link no longer works).

This dataset provides estimates of the production, value added, exports and employment of the environmental goods and services sector (EGSS). The EGSS is the part of the economy that generate environmental products, i.e. those produced for the purpose of environmental protection and resource management. Environmental protection includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Those activities and actions include all measures taken in order to restore the environment after it has been degraded. Resource management includes the preservation, maintenance and enhancement of the stock of natural resources and therefore the safeguarding of those resources against depletion. The EGSS accounts are produced in accordance with the statistical concepts and definitions set out in the system of environmental economic accounting 2012 – central framework (SEEA CF 2012, see annex). Datasets env_ac_egss1 and env_ac_egss2 consist of country data produced by the Member States, who transmit the data to Eurostat and further disseminates it. The EU estimates in datasets env_ac_egss1, env_ac_egss2 and env_ac_egss3 are produced by Eurostat not as a sum of available countries but using methods documented in the Eurostat EGSS practical guide (see methodology page) and data sources publicly available. In addition, Eurostat produces output and gross value added volume estimates, i.e. discounting changes in prices, for all countries published in dataset env_ac_egss2.

20.1. Source data

20.1. Source data

The indicator measures the total amount of energy tax revenue in millions of euro for all NACE activities plus households, non-residents and not allocated. This shows the size that the energy taxes take in absolute (currency) terms, to complement the share of energy taxes paid by paying sector. Energy taxes are one of the four tax categories that make up environmental taxes (the other three being pollution taxes, resource taxes (excluding taxes on oil and gas extraction) and transport taxes). As per environmental taxes, the energy tax base is a physical unit of something that has a proven specific negative impact on the environment, but it is restricted to certain items that are concerning the energy sector, which also includes CO2 taxes.

The indicator measures the percentage of energy taxes that are raised against seven paying sectors as a proportion of the total amount of tax revenue raised from energy taxes. The seven sectors are: Households, Industry (except Construction), Construction, Wholesale and retail trade and repair of motor vehicles and motorcycles, Transportation and storage, Services (except wholesale and retail trade, transportation and storage), and Agriculture, forestry and fishing. Energy taxes are one of the four tax categories that make up environmental taxes (the other three being pollution taxes, resource taxes (excluding taxes on oil and gas extraction) and transport taxes). As per environmental taxes, the energy tax base is a physical unit of something that has a proven specific negative impact on the environment, but it is restricted to certain items that are concerning the energy sector, which also includes CO2 taxes.

Eurostat Dataset Id:enpr_sienv The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.

The Community Innovation Survey (CIS) is a survey about innovation activities in enterprises. The survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as objectives, sources of information, public funding or expenditures. The CIS provides statistics broken down by countries, types of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat together with the countries developed a standard core questionnaire (see in Annex) accompanied by a set of definitions and methodological recommendations. CIS 2014 concepts and its underlying methodology are also based on the Oslo Manual (2005) 3rd edition (see link at the bottom of the page). CIS 2014 results were collected under Commission Regulation No 995/2012. This Regulation defines the mandatory target population of the survey referring to enterprises in the Core NACE categories (see section 3.3.) with at least 10 employees. Further activities may be covered on a voluntary basis in national datasets. Most statistics are based on the 3-year reference period 2012-2014, but some use only one calendar year (2012 or 2014). CIS 2014 includes an ad-hoc module on innovations with environmental benefits. While European innovation statistics use aggregated national data, the microdata sets can be consulted by researchers via the SAFE Centre of Eurostat in Luxembourg or via CD-ROM releases in a more anonymised form; some countries also provide access to their microdata through national Safe Centres. Since the provision of microdata is voluntary, microdatasets do not cover all countries.

Dataset provides information on selected economic aspects of environmental management. It includes tables on expenditure, which help to identify the financial consequences of environmental policies: public and private pollution abatement and control expenditure; public research and development financing for environmental protection; official development assistance, including aid in support of environment. Dataset also includes data concerning revenues from environmentally-related taxes.

Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.

As countries are increasingly using a wide range of policy measures to address agri-environmental issues, indicators provide crucial information to monitor and analyse the effects of those policies on the environment. They can also help the understanding and analysis of the environmental effects of future policy scenarios and agricultural projections. To help improve measurement of the environmental performance of agriculture, OECD has established a set of agri-environmental indicators, with development of the indicators in cooperation with Eurostat and FAO. These indicators inform policy makers and society on the state and trends in agri-environmental conditions, and can provide a valuable aid to policy analysis.

The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. The index ranges from 0 (not stringent) to 6 (highest degree of stringency). The index covers 28 OECD and 6 BRIICS countries for the period 1990-2012. The index is based on the degree of stringency of 14 environmental policy instruments, primarily related to climate and air pollution.

Data is expressed in million national currency.   Environmental protection (EP) includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution as well as any other degradation of the environment. The scope of environmental protection expenditure is defined according to the Classification of Environmental Protection Activities (CEPA 2000). CEPA distinguishes nine environmental domains.   The Environmental Protection Expenditure Account (EPEA) is a monetary description of environmental protection activities in accordance with the System of Environmental-economic Accounting (SEEA) central framework. It is coherent with the European System of Accounts (ESA 2010) which applies to national accounts and related satellite accounts. Because the full EPEA framework is quite expensive in terms of resources to be set up, this EPEA module significantly simplifies the full framework while it still allows compiling a measure of environmental protection expenditure for the whole economy comparable with national accounts aggregates.   This data focuses on the production and uses of environmental protection services. Output of these services can be output of market, non-market and ancillary activities. EPEA is directly linked to the three definitions of GDP, the production measure, the expenditure measure and the income measure of GDP.   EPEA covers (1) expenditure on EP products by resident units; (2) expenditure related to the production of EP products, including the gross capital formation, and (3) transactions related to the financing of EP expenditure. It covers both the supply and demand side. Demand equals supply: Final consumption + Gross fixed capital formation (GFCF for characteristic environmental activities) + Exports - Imports = Output - Intermediate consumption + VAT plus taxes less subsidies on products That is, the final uses of a product equal the supply of that product. The terms can be reorganised as follows: Final consumption + GFCF + Intermediate consumption = Output + Imports - Exports + VAT plus taxes less subsidies on products   The left side is the sought sum of expenditure on EP products by resident units. The right side proposes an alternative calculation approach, which indeed EPEA follows instead of the left side approach. There are several reasons for this choice, including that (a) output is simpler to measure than final consumption, intermediate consumption and capital formation (capital formation in EP products is rare; one instance is soil decontamination leading to land improvement); (b) imports and exports are small; and (c) output is also relevant by itself for analysis of production.

Unit of measure used Environmental protection (EP) includes all purposeful activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment resulting from production or consumption processes. The scope of Environmental Protection is defined according to the Classification of Environmental Protection Activities (CEPA), which distinguishes nine different environmental domains. Activities such as energy and material saving are only included to the extent that they mainly aim at environmental protection. An important example is recycling which is included only to the extent that it constitutes a substitute for waste management. Excluded are: (i) activities that, while beneficial to the environment, primarily satisfy technical needs or health and safety requirements for the protection of the workplace. (ii) expenditure linked to mobilisation of natural resources (e.g., water supply). (iii) calculated cost items such as depreciation (consumption of fixed capital) or the cost of capital as this questionnaire only records actual outlays. (iv) payments of interest, fines and penalties for non-compliance with environmental regulations or compensations to third parties etc., as they are not directly linked with an environmental protection activity. Environmental Protection Expenditure can be evaluated both according to the abater principle and the financing principle. This distinction makes it possible to aggregate different sectors and industries without double counting. Expenditure according to the abater principle (EXP I), includes all expenditure that the sector has for measures they themselves execute. Any economic benefits directly linked with the environmental protection activities (Receipts from by-products) are deducted in order to calculate the net amount of money spent by the sector for their own activities. The financing principle (EXP II) measures how much money a particular sector (directly) contributes to overall environmental protection activities, wherever they are executed. This means that the part of EXP I that was directly financed by others (through subsidies or revenues received) should be deducted, while the part of EXP I in other sectors that this sector finances directly (through subsidies or fees paid) should be added. The framework is based on double entry bookkeeping, where each activity and expenditure item has an abater (producer) and a financing side. This means that much expenditure by specialised producers is financed by the users of their services, mainly business sector and households. This will be recorded as Revenues for the Specialised producers (Table 4), and fees/purchases in Business and Households (Tables 2 and 3). Specialised producers include the production of environmental protection services by public and private corporations or quasi-corporations for the use of other units, mainly financed by the users of these services. These are mainly activities within ISIC Rev. 4/NACE Rev. 2 division and classes 37, 38.1, 38.2 and 39 such as: 37 Sewerage, 38.1 Waste collection, 38.2 Waste treatment and disposal, 39  Remediation activities and other waste management services. This sector is the sum of two components: a) Public specialised producers: All corporations and quasi-corporations that are subject to control by government units. Control is defined as the ability to determine general corporate policy by choosing appropriate directors, if necessary (Table 4A). b) Private specialised producers: All corporations and quasi-corporations that are not subject to control by government units (Table 4B). Specialised producers could also include for example the activities of e.g. volunteer environmental organisations or secondary environmental activities. These should be entered along with a footnote describing the coverage. CEPA domains: a column "pollution abatement and control" (PAC) has been kept in the questionnaire to ensure continuity with earlier data series.

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

Eurostat Dataset Id:env_ac_exp4r2 Data show environmental protection expenditure (EPE). Environmental protection includes all activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment. Data on regional EPE were collected from the European countries for the first time in 2010 through the Eurostat Questionnaire on Regional Environmental Data Collection (REQ) based on a Gentlemen's Agreement. The scope of environmental protection is defined according to the Classification of Environmental Protection Activities (CEPA 2000), which distinguishes nine environmental domains: protection of ambient air and climate; wastewater management; waste management; protection and remediation of soil, groundwater and surface water; noise and vibration abatement; protection of biodiversity and landscape; protection against radiation; research and development and other environmental protection activities. The data cover three economic sectors (public sector, specialised producers and industry), one economic variable (total environmental protection expenditure) and the nine environmental domains mentioned above. Data are published for years 2000-2009.

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

Data show environmental protection expenditure (EPE). Environmental protection includes all activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment. Data on expenditure encompasses different types of investment and current expenditure by several sectors and detail by economic activity (see details in sections 3.2 to 3.4 below).

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

This table provides a breakdown of expenditure of general government by type of transaction for the economic function 05 - Environmental protection. It represents a small part of a bigger table (General government expenditure by function (COFOG) - labelled ‘gov_a_exp’) that is compiled in the government finance statistics. The indicators are as reported under table 11 'Expenditure of general government by function (COFOG)' of the ESA transmission programme. The main data source is the national authorities. Data are presented in millions of euro, millions of national currency units and percentages of GDP. For further details please see the link below:   http://ec.europa.eu/eurostat/cache/metadata/en/gov_a_exp_esms.htm

Environmental protection expenditure is the money spent on all purposeful activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment. It includes environmental investments and environmental current expenditure. Environmental investments are all outlays in a given year for machinery, equipment and land used for environmental protection purposes. Current expenditure for environmental protection includes daily operating activities aiming at the prevention or reduction of pollution. It includes for example expenditure for staff working on environmental issues and materials for environmental protection. Industry includes mining and quarrying, manufacturing and electricity, gas and water supply sectors (NACE Rev.2 Sections B, C, D and Division 36).

Environmental protection expenditure is the money spent on all purposeful activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment. It includes environmental investments and environmental current expenditure. Environmental investments are all outlays in a given year for machinery, equipment and land used for environmental protection purposes. Current expenditure for environmental protection includes daily operating activities aiming at the prevention or reduction of pollution. It includes for example expenditure for staff working on environmental issues and materials for environmental protection.

Environmental protection expenditure is the money spent on all purposeful activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment. It includes environmental investments, environmental current expenditure and environmental subsidies/transfers. Environmental investments are all outlays in a given year for machinery, equipment and land used for environmental protection purposes. Current expenditure for environmental protection includes daily operating activities aiming at the prevention or reduction of pollution. It includes for example expenditure for staff working on environmental issues and materials for environmental protection.

Definition of an environmental tax (Regulation (EU) N° 691/2011) An environmental tax is a tax whose tax base is a physical unit (or a proxy of a physical unit) of something that has a proven, specific negative impact on the environment, and which is identified in ESA 2010 as a tax. The data collection for environmental tax revenue is derived from the national tax lists (NTLs) which Eurostat collects as a complement of table 9 which is part of the ESA 2010 (European system of accounts) transmission programme. The ESA 2010 transmission programme has been defined in annex B of the Regulation (EU) N° 549/2013 of the European Parliament and the Council of 21 May 2013. This data collection involves a functional analysis of each tax listed in the national accounts of European countries including: - assigning an economic function to each tax; - Attributing an environmental code to the environmental taxes (E for Energy, T for Transport, P for Pollution, RS for Resource). These function and environmental codes are reported by countries in their NTL and are validated by Eurostat. Eurostat also collects data on environmental taxes by economic activities (of the tax payers) using the NACE classification, taxes by households and non-residents (see http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=env_ac_taxind2&lang=en). The totals of environmental tax revenues from both collections should be made fully coherent.

The indicator is presented in two ways. Firstly, as the proportion of environmental tax revenues in total revenues from all taxes and social contributions. This evidences the different taxation splits that Member States have between environment and other factors such as labour and capital. Secondly, the indicator is presented as the proportion of environmental tax revenues in Gross Domestic Product (GDP). This allows a comparison of environmental taxation between Member States taking into account the size of the different national economies.

Definition of an environmental tax (Regulation (EU) N° 691/2011) An environmental tax is a tax whose tax base is a physical unit (or a proxy of a physical unit) of something that has a proven, specific negative impact on the environment, and which is identified in ESA2010 as a tax. Eurostat collects data on environmental tax revenue (by tax category - energy, transport, pollution and resource taxes) broken down by economic activities (tax payers) using the NACE classification for production activities plus households and non-residents. Eurostat with the European Commission's Directorate General for Taxation and Customs Union also produces annually an analysis of each tax listed in the national accounts of European countries including: - assigning an economic function to each tax; - attributing an environmental code to the environmental taxes (E for Energy, T for Transport, P for Pollution, RS for Resource). These function and environmental codes are reported by countries in their national tax list (NTL) and are validated by Eurostat. Efforts are made to ensure full consistency of the data on environmental taxes by economic activities and revenue data based on the national tax lists even if some discrepancies remain for some countries.

Definition of an environmental tax (Regulation (EU) N° 691/2011) An environmental tax is a tax whose tax base is a physical unit (or a proxy of a physical unit) of something that has a proven, specific negative impact on the environment, and which is identified in ESA2010 as a tax. Eurostat collects data on environmental tax revenue (by tax category - energy, transport, pollution and resource taxes) broken down by economic activities (tax payers) using the NACE classification for production activities plus households and non-residents. Eurostat with the European Commission's Directorate General for Taxation and Customs Union also produces annually an analysis of each tax listed in the national accounts of European countries including: - assigning an economic function to each tax; - attributing an environmental code to the environmental taxes (E for Energy, T for Transport, P for Pollution, RS for Resource). These function and environmental codes are reported by countries in their national tax list (NTL) and are validated by Eurostat. Efforts are made to ensure full consistency of the data on environmental taxes by economic activities and revenue data based on the national tax lists even if some discrepancies remain for some countries.

EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases. As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived: Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use; Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.

6.1. Reference area

6.1. Reference area

The indicator measures the population weighted annual mean concentration of particulate matter at urban background stations in agglomerations. Fine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and exacerbate the condition of people suffering heart and lung diseases. Fine particulates (PM2.5) are those whose diameters are less than 2.5 micrometers. They are therefore a subset of the PM10 particles. Their deleterious health impacts are more serious than PM10 as they can be drawn further into the lungs and may be more toxic.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualization.

The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013). Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/governmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).

Water removed from any freshwater source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded.

Total groundwater and surface water abstraction per capita.

Eurostat Dataset Id:med_en43 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Freshwater abstractions:   This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total abstractions.   When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by member countries may vary considerably.   Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)  

Eurostat Dataset Id:env_watres_r2 Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

Yearly data on freshwater resources, water abstraction and use, connection rates of resident population to wastewater treatment, sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

20.1. Source data

Total amount of waste generated by households and businesses by economic activity according to NACE Rev. 2 and year.

Total amount of waste generated by households and businesses by economic activity according to NACE Rev. 2 and hazardousness.

Waste generated by households (EP-HH) and by waste category (EWC-Stat 4) and hazardousness, latest available year.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.

This dataset presents data on waste by economic sector, using the major divisions of the International Standard Industrial Classification (ISIC), revision 4. Data source(s): OECD/Eurostat joint questionnaire on waste. Source for non-OECD countries: UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files).

Total amount of waste generated by households and businesses, by waste category (EWC-Stat 4) and year.

Total amount of waste generated by households and businesses, by waste category (EWC-Stat 4) and hazardousness, latest available year.

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste generation has a breakdown in sources (19 business activities according to the NACE classification and household activities) and in waste categories (according to the European Waste Classification for statistical purposes). The information on waste treatment is broken down to five treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment) and in waste categories. All values are measured in tonnes of waste and in kg per capita, based on the annual average of the population. The Member States are free to decide on the data collection methods. The general options are: surveys, administrative sources, statistical estimations or some combination of methods. For the first reference year 2004 Member States could apply for permission not to deliver part of the information: waste generated by agriculture and fishing and waste generated in the services sector. For this reason this information is missing for some of the countries. Previously data on waste was collected on a voluntary basis with the joint OECD/Eurostat questionnaire on waste.

This indicator is defined as all waste generated in a country per inhabitant and year, excluding major mineral wastes, dredging spoils and contaminated soils. This exclusion enhances comparability across countries as mineral waste accounts for high quantities in some countries and economic activities such as mining and construction. The indicator covers hazardous (hz) and non-hazardous (nh) waste from all economic sectors and from households, including waste from waste treatment (secondary waste) but excluding most mineral waste. It is based on data compiled according to the waste categories listed in Annex I to the Waste Statistics Regulation (Regulation 2150/2002/EC).

18.1. Source data

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS) (1),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Generally, only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders. (1) This designation shall not be construed as recognition of a State of Palestine and is without prejudice to the individual positions of the Member States on this issue.

NOTICE (March 2018): This website provides access to the CDIAC archive data temporarily. It will be gradually transitioned into data packages in the new ESS-DIVE archive. This site will continue to operate in parallel during and after the transition, and will be retired at a future date. If you have any questions regarding the data or the transition, please contact [email protected]. The carbon-cycle model simulates vegetation, litter, and soil carbonin 12 ecosystem and land-use classifications aggregated to 14 world regions. Land-use transitions are calculated annually on a 0.5 degree grid before aggregation to the regional level. Secondary forest re-growth is simulated in 50-year age classes for non-boreal forest (labeled as 1500_OtherForest, for forest that started regrowing in the period 1500-1549). Carbon stocks as land-use changes (e.g. conversion to cropland or reversion to native ecosystems) are explicitly tracked over time. Regional cropland areas, productivity, and harvest index change over time as estimated from historical data.

The Global Carbon Project facilitates access to data to encourage its use and promote a good understanding of the carbon cycle. Respecting original data sources is key to help secure the support of data providers to enhance, maintain and update valuable data. 

Data cited at: Germanwatch-https://www.germanwatch.org/en/cri 

Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.

FAO - GLEAM Global greenhouse gas emissions from livestock summary data (2017)

The OECD Green Growth database contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The database synthesises data and indicators across a wide range of domains including a range of OECD databases as well as external data sources. The database covers OECD member and accession countries, key partners (including Brazil, China, India, Indonesia and South Africa) and other selected non-OECD countries.

This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas.   Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2.   Intensities (per unit of GDP and per capita) as well as index are calculated on gross direct emissions excluding emissions or removals from land-use, land-use change and forestry (LULUCF).   The GDP used to calculate intensities is expressed in USD at 2010 prices and PPPs.

18.1. Source data

The indicator shows the greenhouse gas emissions of key source categories. A key source category is defined as an emission source category that has a significant influence on a country´s greenhouse gas inventory in terms of the absolute level of emissions, the trend in emissions, or both. The different greenhouse gases are weighted by their global warming potential, and the results are expressed in CO2 equivalents. The European Union (EU) as a party to the United Nations Framework Convention on Climate Change (UNFCCC) reports annually its greenhouse gas inventory for the year t-2 and within the area covered by its Member States. The inventory also constitutes the EU-15 submission under the Kyoto Protocol. The EU greenhouse gas inventory is the most relevant and accurate source of information on greenhouse gas emissions in the EU, and serves to monitor all anthropogenic emissions by sources and removals by sinks of greenhouse gases not controlled by the Montreal Protocol. The inventory contains data on carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), perfluorocarbons (PFCs), hydrofluorocarbons (HFCs) and sulphur hexafluoride (SF6). The EU inventory is fully consistent with national greenhouse gas inventories compiled by the EU Member States.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdcc210´s table: Eurobase > Tables by themes > Environment and energy > Environment > Greenhouse Gases/Air Pollution > Greenhouse gas emissions by sector (tsdcc210) tsdcc210´s table within the SDI set: Eurobase > Tables on EU policy > Sustainable Development indicators > Climate change and energy > Climate change > Greenhouse gas emissions by sector (tsdcc210)

Data cited at: CAIT, retrieved from Climate Watch Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2019, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report.

This dataset includes data on greenhouse gas emissions inventory, as reported to the European Environment Agency (EEA). Note that Eurostat is not the producer of these data, only re-publishes them. The European Union (EU) as a party to the United Nations Framework Convention on Climate Change (UNFCCC) reports annually its greenhouse gas inventory for the year t-2 and within the area covered by its Member States. The inventory contains data on carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), perfluorocarbons (PFCs), hydrofluorocarbons (HFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). The EU inventory is fully consistent with national greenhouse gas inventories compiled by the EU Member States. Values flagged with 'd' have the notation key 'IE' (included elsewhere) in the original dataset published by the EEA. Notation key combinations that include NE (not estimated), as well as values reported with the additional notation key used by EEA ' – ', are reported as missing values in the air_env_gge dataset. All notation keys combinations that include a C (confidential) are flagged as confidential. The notation keys NA and NO are not associated with a flag. EEA notation keys: NO – not occurring. NE – not estimated. NA – not applicable. IE – included elsewhere. C – confidential.

This dataset includes data on greenhouse gas emissions inventory, as reported to the European Environment Agency (EEA). Note that Eurostat is not the producer of these data, only re-publishes them. Within the context of emission inventories prepared for annual reporting in relation to the Kyoto Protocol, the measurement of greenhouse gases are confined to anthropogenic (human-induced) emissions that occur on managed lands. Aggregated greenhouse gas emissions from agricultural practices are primarily in the form of nitrous oxide (N2O) resulting from manure management and from the application of fertilisers and manure to soils, or in the form of methane (CH4) that results, among others, from livestock emissions, stored animal manure, or (to a lesser degree) rice cultivation. In contrast there are relatively low levels of carbon dioxide (CO2) emissions resulting from agriculture practices. Enteric fermentation is a natural part of the digestive process for many ruminant animals where anaerobic microbes, decompose and ferment food in the rumen (a special stomach), that are then absorbed by the ruminant.  Because this digestion process is not 100 percent efficient, some of the food energy is lost in the form of methane. Measures to mitigate enteric fermentation would not only reduce emissions, they may also raise animal productivity by increasing digestive efficiency. Nitrous oxide is produced during the manure management and in soils through the processes of nitrification and denitrification. Nitrification is the aerobic microbial oxidation of ammonium to nitrate, and denitrification is the anaerobic microbial reduction of nitrate to nitrogen gas (N2). The indicator is expressed in CO2-equivalents, as different greenhouse gases have different global warming potential. All greenhouse gases have what is called a Global Warming Potential (GWP). This value is used to compare the abilities of different greenhouse gases to trap heat in the atmosphere. GWPs are based on the heat-absorbing ability of each gas relative to that of carbon dioxide (CO2), as well as the decay rate of each gas (the amount removed from the atmosphere over a given number of years). For instance, methane is a significant contributor to the greenhouse effect and has a GWP of 21. This means methane is approximately 21 times more heat-absorptive than carbon dioxide per unit of weight. Nitrous oxide is even 310 times more heat-absorptive than carbon dioxide per unit of weight. Greenhouse gas emissions from fuel combustion in agriculture (e.g. related to the use of farm machinery) and those attributed to land use, land use change and forestry are not included here.

The indicator calculation is based on the emissions covered under the Effort Sharing Decision (406/2009/EC). The Effort Sharing Decision sets national annual binding targets for emissions not covered under the EU emission trading scheme (ETS). The ESD emissions are calculated by deducting ETS verified emissions, CO2 emissions from domestic aviation and NF3 emissions from national total emissions. Total emissions are national totals reported under the UNFCCC (excluding LULUCF, international aviation and international maritime transport). For the period 2005-2012, additional emission estimates are deducted in order to reflect the current scope of the EU ETS, following the European Environment Agency methodology for calculating consistent time series.

20.1. Source data

The indicator is calculated as the ratio between energy-related GHG emissions and gross inland consumption of energy. It expresses how many tonnes CO2 equivalents of energy-related GHGs are being emitted in a certain economy per unit of energy that is being consumed. The data on energy emissions are being sourced from the GHG emissions reported to the UNFCCC.

The indicator measures total national emissions of the so called ‘Kyoto basket’ of greenhouse gases, including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and the so-called F-gases (hydrofluorocarbons, perfluorocarbons, nitrogen triflouride (NF3) and sulphur hexafluoride (SF6)). Using each gas’ individual global warming potential (GWP), they are being integrated into a single indicator expressed in units of CO2 equivalents. Emissions data are submitted annually by the EU Member States as part of the reporting under the United Nations Framework Convention on Climate Change (UNFCCC). The average population of the reference year (calculated as the arithmetic mean of the population on 1st January of two consecutive years) is used as denominator (per capita). The indicator does not include emissions and removals related to land use, land-use change and forestry (LULUCF); it does not include emissions reported as a memorandum item according to UNFCCC Guidelines but does include emissions from international aviation as well as indirect CO2 emissions.

This indicator shows trends in total man-made emissions (of both the ESD and ETS sectors) of the ‘Kyoto basket’ of greenhouse gases. It presents annual total emissions in relation to 1990 emissions The ‘Kyoto basket’ of greenhouse gases includes: carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and the so-called F-gases (hydrofluorocarbons, perfluorocarbons, nitrogen triflouride (NF3) and sulphur hexafluoride (SF6)). These gases are aggregated into a single unit using gas-specific global warming potential (GWP) factors. The aggregated greenhouse gas emissions are expressed in units of CO2 equivalents. The indicator does not include emissions and removals related to land use, land-use change and forestry (LULUCF); nor does it include emissions from international maritime transport. It does however include emissions from international aviation. CO2 emissions from biomass with energy recovery are reported as a Memorandum item according to UNFCCC Guidelines and not included in national greenhouse gas totals. The EU as a whole is committed to achieving at least a 20% reduction of its greenhouse gas emissions by 2020 compared to 1990. This objective implies: - a 21 % reduction in emissions from sectors covered by the EU ETS (emission trading scheme) compared to 2005 by 2020; - a reduction of 10 % in emissions for sectors outside the EU ETS covered by the ESD (effort sharing decision). To achieve this 10% overall target each Member State has agreed country-specific greenhouse gas emission limits for 2020 compared to 2005 (Council Decision 2009/406/EC). Data Source: European Environment Agency

This indicator is defined as the ratio between energy tax revenues and final energy consumption calculated for a calendar year. Energy tax revenues are measured in euro (deflated) and the final energy consumption as toe (tonnes of oil equivalent)

The Community Innovation Survey (CIS) is a survey about innovation activities in enterprises. The survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as objectives, sources of information, public funding or expenditures. The CIS provides statistics broken down by countries, types of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat together with the countries developed a standard core questionnaire (see in Annex) accompanied by a set of definitions and methodological recommendations. CIS 2014 concepts and its underlying methodology are also based on the Oslo Manual (2005) 3rd edition (see link at the bottom of the page). CIS 2014 results were collected under Commission Regulation No 995/2012. This Regulation defines the mandatory target population of the survey referring to enterprises in the Core NACE categories (see section 3.3.) with at least 10 employees. Further activities may be covered on a voluntary basis in national datasets. Most statistics are based on the 3-year reference period 2012-2014, but some use only one calendar year (2012 or 2014). CIS 2014 includes an ad-hoc module on innovations with environmental benefits. While European innovation statistics use aggregated national data, the microdata sets can be consulted by researchers via the SAFE Centre of Eurostat in Luxembourg or via CD-ROM releases in a more anonymised form; some countries also provide access to their microdata through national Safe Centres. Since the provision of microdata is voluntary, microdatasets do not cover all countries.

The Community Innovation Survey (CIS) is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding or the expenditures. The CIS provides statistics broke down by countries, type of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, some EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat, in close cooperation with the countries, has developed a standard core questionnaire starting with the CIS3 data collection, along with an accompanying set of definitions and methodological recommendations. The concepts and underlying methodology of the CIS are also based on the Oslo Manual — second edition of 1997 and third edition of 2005 (see link at the bottom of the page). Up to CIS 2010, CIS results were collected under Commission Regulation (EC) No 1450/2004. A new Regulation will apply from CIS 2012 (EC No 995/2012). The data presented in these tables refer to enterprises with ‘10 employees or more’ active in the sectors to be covered under the Regulation (cf. NACE CORE). Further activities may be covered on a voluntary basis. Most statistics are based on a reference period of three years, but some use one calendar year. Since CIS 2008, the survey has included an ad-hoc module. It consists of a set of questions focusing on a special theme. The themes are different in each survey wave, allowing data to be obtained on specific issues beyond the data usually collected. Overview over time: Initially, the CIS data collection was carried out every four years. The first collection (CIS Light) was launched in 1993 as a pilot exercise and the second (CIS2) was carried out in 1997/1998 for most countries except Greece and Ireland, where it was launched in 1999. The third survey (CIS3) was conducted in 2000/2001 for most participating countries with the exception of Norway, Iceland, Luxembourg and Greece, where it was launched in 2002. As from 2004, the survey has been carried out every two years. CIS4 was conducted in the 25 EU Member States (as for 2004), Iceland, Norway, Bulgaria and Romania. The survey was launched in 2005 with a three-year reference period 2002 to 2004 for most indicators. The fifth survey CIS 2006 was carried out in all 25 EU Member States (as for 2006), Norway, Bulgaria, Romania, Croatia and Turkey. It was launched in 2007, mostly for the reference period 2004 to 2006. As regards CIS 2008, 26 Member States (all except Greece), Iceland, Norway, Croatia and Turkey took part in the survey. CIS 2008 was launched in 2009 with a three-year reference period 2006 to 2008 for most indicators. Changes were made to the CIS 2008 questionnaire to bring it into line with the third revision of the Oslo Manual, 2005 edition, by giving greater weight to organisational and marketing innovation. CIS 2008 was complemented by an ad-hoc module on innovation with environmental benefits. The seventh Community Innovation Survey, CIS 2010, had 31 participating countries (all the EU 27 Member States (except Greece), Iceland, Norway, Croatia, Serbia and Turkey) and reported most results for the reference period 2008-2010. CIS 2010 also follows the recommendations of the Oslo Manual and reports indicators on four types of innovation: product, process, organisational and marketing. However, despite implementation of the recommendations of the third edition of the Oslo Manual, the question on innovation expenditures is still limited to product and process innovation in order to maintain continuity with earlier versions of the CIS. Furthermore, generally fewer questions are asked about organisational and marketing innovation than about product and process innovation. While the European innovation statistics use the aggregated national data, the microdata sets can be accessed by researchers via the SAFE Centre of Eurostat in Luxembourg or via the microdata on CD-ROM releases in more anonymised form; some countries also provide access to their micro-data at similar safe centres.

These data are part of a larger database, hosted on a different website, which includes both quantitative and qualitative data, as well as graphs.

Environmental protection expenditure accounts (EPEA) quantify the resources devoted to the environmental protection by resident economic units. EPEA measure the economic resources devoted to all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Environmental protection expenditure accounts (EPEA) present the data on expenditure for environmental protection in a way that is compatible with national accounts. EPEA is one of the environmental accounts and it is an integrated part of the European environmental economic accounts published by Eurostat. EPEA datasets consist of country data produced by the Member States, EFTA countries and candidate countries. Estimates at the level of EU28 level are produced by Eurostat on the basis of available data transmitted by Member States and using extrapolation methods in case of missing values.

These tables contain detailed data on Greenhouse Gas (GHG) emissions and carbon dioxide (CO2) emissions from fossil fuel combustion in member countries of the International Transport Forum and member countries of OECD. Data on greenhouse gas emissions (and CO2 emissions in particular) come from national reports to the United Nations Framework Convention on Climate Change (UNFCCC) and from the International Energy Agency (IEA). UNFCCC and IEA emissions data are based on the default methods and emissions factors from the Revised 1996 IPCC (Intergovernmental Panel on Climate Change) Guidelines for National Greenhouse Gas Inventories. CO2 emissions from international aviation and international maritime transport are included in national totals allocated on the basis of fuel sales. There is, however, no internationally agreed allocation methodology for these sectors as of yet.

Physical energy flow accounts (PEFA) is one module of the European environmental-economic accounts - Regulation (EU) 691/2011 Annex VI. PEFA record the flows of energy (in terajoules) from the environment to the economy (natural inputs),within the economy (products), andfrom the economy back to the environment (residuals), using the accounting framework of physical supply and use tables. PEFA provide information on energy flows arranged in a way fully compatible with concepts, principles, and classifications of national accounts – thus enabling integrated analyses of environmental, energy and economic issues e.g. through environmental-economic modelling. PEFA complement the traditional energy statistics, balances and derived indicators which are the main reference data source for EU energy policies. This metadata refers to three PEFA datasets based on one and the same data collection: Energy supply and use by NACE Rev. 2 activity (env_ac_pefasu), containing data on supply (table A), use (table B), transformation use (table B1), end use (table B2) and emission-relevant use (table C)Key indicators of physical energy flow accounts by NACE Rev. 2 activity (env_ac_pefa04)Physical energy flow accounts totals bridging to energy balances totals (env_ac_pefa05)

Rivers Data show water quality of selected rivers. Water quality is measured in terms of annual mean concentrations of dissolved oxygen and BOD; of nitrates, phosphorus and ammonium; and of lead, cadmuim, chromium and copper. The rivers selected are main rivers draining large watersheds in the countries chosen; the measurement locations are at the mouths or downstream frontiers of the rivers. These parameters provide information concerning the state and trends of pollution by organic matter and nutrients, heavy metals and other metals. In reading the data, one should compare trends rather than absolute values, since measurement methods vary by country. Lakes Data show trends in annual mean concentrations of phosphorus and nitrogen in selected lakes. These parameters concern nutrient concentrations and related degrees of eutrophication of lakes and reservoirs. The interpretation of these tables should take into account variations in the methods of sampling (e.g. sampling location and number of measurements at different sampling locations and in different years).

Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation;a resource for human activities.  The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).  Land area excludes area under inland water bodies (i.e. major rivers and lakes).   Arable refers to all land generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable.  Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land").  Arable and permanent crop land is defined as the sum of arable area and land under permanent crops.  Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land).  Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes.

Data cited at: The Global CCS Institute https://www.globalccsinstitute.com Publication URL: http://www.globalccsinstitute.com/projects/large-scale-ccs-projects#map License: https://creativecommons.org/licenses/by-nc/4.0/   Globally, there are 15 large-scale CCS projects in operation, with a further seven under construction. The 22 projects in operation or under construction represents a doubling since the start of this decade. The total CO2 capture capacity of these 22 projects is around 40 million tonnes per annum (Mtpa). There are another 10 large-scale CCS projects at the most advanced stage of development planning, the Concept Definition (or Define) stage, with a total CO2 capture capacity of around 14 Mtpa. A further 12 large-scale CCS projects are in earlier stages of development planning (the Evaluate and Identify stages) and have a total CO2 capture capacity of around 25 Mtpa. Two large-scale CCS projects became operational in 2015:The Quest project, located in Alberta, Canada (CO2 capture capacity of approximately 1 Mtpa) was launched in November 2015. The project, involving the manufacture of hydrogen for upgrading bitumen into synthetic crude oil, is North America’s first large-scale CCS project to store CO2 exclusively in a deep saline formation.The Uthmaniyah CO2-EOR Demonstration Project, located in the Kingdom of Saudi Arabia was launched in July 2015. The project is capable of capturing around 0.8 Mtpa of CO2 from the Hayiwah NGL (natural gas liquids) Recovery Plant. Two more industrial CCS projects are expected to become operational in early 2016:The Illinois Industrial CCS Project (CO2 capture capacity of 1 Mtpa) is located at the Archer Daniel Midlands corn-to-ethanol production facility in Decatur, Illinois (United States). The project, the world’s first bio-CCS project at large scale, will be the first integrated CCS project in the United States to inject CO2 into a deep saline formation at a scale of 1 Mtpa.The Abu Dhabi CCS Project (CO2 capture capacity of 0.8 Mtpa), the world’s first iron and steel project to apply CCS at large scale, will involve CO2capture from the direct reduced iron process used at the Emirates Steel plant in Abu Dhabi. Large-scale CCS projects in the power sector are now a reality, demonstrated by:The world’s first large-scale power sector CCS project – the Boundary Dam Carbon Capture and Storage Project in Canada (CO2 capture capacity of 1 Mtpa) – becoming operational in October 2014.Commissioning activities on a new-build 582 megawatt (MW) power plant beginning at the Kemper County Energy Facility in Mississippi (United States, CO2 capture capacity of 3 Mtpa) with CO2 capture expected to commence around the middle of 2016.The Petra Nova Carbon Capture Project at the W.A. Parish power plant near Houston, Texas (US, CO2 capture capacity of 1.4 Mtpa) entering construction in July 2014, with CO2 capture anticipated by the end of 2016.

Extremes in elevation across countries.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste generation has a breakdown in sources (19 business activities according to the NACE classification and household activities) and in waste categories (according to the European Waste Classification for statistical purposes). The information on waste treatment is broken down to five treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment) and in waste categories. All values are measured in tonnes of waste and in kg per capita, based on the annual average of the population. The Member States are free to decide on the data collection methods. The general options are: surveys, administrative sources, statistical estimations or some combination of methods. For the first reference year 2004 Member States could apply for permission not to deliver part of the information: waste generated by agriculture and fishing and waste generated in the services sector. For this reason this information is missing for some of the countries. Previously data on waste was collected on a voluntary basis with the joint OECD/Eurostat questionnaire on waste.

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste treatment is broken down to six treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment and other disposal). All values are measured in tonnes of waste. The waste management indicator set aims at showing how much of a country’s or of the EU’s own waste (in the following referred to as national waste) excluding major mineral waste is actually recycled, incinerated (with energy recovery and without), landfilled or backfilled. This means that the waste management indicator should reflect the treatment of national waste, no matter where it takes place, and it should exclude the waste that is imported from non-EU countries.  Thus for the compilation of a waste management indicator data, which is collected under the Waste Statistic Regulation, is to be adjusted with data for imports and exports from Foreign Trade Statistics. The imports and exports of goods (and wastes) are reported according to the Combined Nomenclature (CN-codes). The data are available from Eurostat's COMEXT database, which includes detailed statistics on the intra- and extra-trading in goods of all EU Member States.  International trade in goods statistics (ITGS) published by Eurostat measures the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property. The CN codes relating to import or export of waste are selected and assigned to one of the treatment types according to the predominant kind of treatment for this kind of waste in the receiving country. A list with these CN codes and their assignment to treatment type is annexed to this Metadatasheet. Member States were asked whether the data and the assignment was plausible. In case of inconsistencies Member States were asked for a different assignment; they could as well provide data, in case it was in their opinion more suitable than the COMEXT data (this was 2010, 2012  and 2014 the case for Denmark, Croatia, Cyprus, Italy, Latvia, Malta, The Netherlands, Portugal, Romania and Slovakia and 2014 for Ireland, see also 14.1).

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste treatment is broken down to six treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment and other disposal). All values are measured in tonnes of waste. The waste management indicator set aims at showing how much of a country’s or of the EU’s own waste (in the following referred to as national waste) excluding major mineral waste is actually recycled, incinerated (with energy recovery and without), landfilled or backfilled. This means that the waste management indicator should reflect the treatment of national waste, no matter where it takes place, and it should exclude the waste that is imported from non-EU countries.  Thus for the compilation of a waste management indicator data, which is collected under the Waste Statistic Regulation, is to be adjusted with data for imports and exports from Foreign Trade Statistics. The imports and exports of goods (and wastes) are reported according to the Combined Nomenclature (CN-codes). The data are available from Eurostat's COMEXT database, which includes detailed statistics on the intra- and extra-trading in goods of all EU Member States.  International trade in goods statistics (ITGS) published by Eurostat measures the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property. The CN codes relating to import or export of waste are selected and assigned to one of the treatment types according to the predominant kind of treatment for this kind of waste in the receiving country. A list with these CN codes and their assignment to treatment type is annexed to this Metadatasheet. Member States were asked whether the data and the assignment was plausible. In case of inconsistencies Member States were asked for a different assignment; they could as well provide data, in case it was in their opinion more suitable than the COMEXT data (this was 2010, 2012  and 2014 the case for Denmark, Croatia, Cyprus, Italy, Latvia, Malta, The Netherlands, Portugal, Romania and Slovakia and 2014 for Ireland, see also 14.1).

The datasets: Material flow accounts in raw material equivalents - modelling estimates (env_ac_rme)Material flow accounts in raw material equivalents by final uses of products - modelling estimates (env_ac_rmefd) provide model-based estimates, for the aggregate EU economy only, of material flow accounts in raw material equivelents (MFA-RME) to complement the dataset ´Material flow accounts' (env_ac_mfa), also referred to as economy-wide material flow accounts (EW-MFA). Both EW-MFA and MFA-RME present the flows of natural resources (minerals, metal ores, biomass, fossil energy materials) from the environment into the economy. Both include domestic extraction of materials measured in tonnes of gross material (e.g. gross ore or gross harvest). However, in EW-MFA imports and exports are measured in mass weight of the products as they cross country borders. For the derived indicators this implies that they combine data with different underlying measurement concepts. The MFA-RME dataset offers a complementary view by replacing the material trade flows in mass weight by estimates of the raw material equivalents of the products traded, i.e. how much extraction, domestic and abroad, was needed to produce the traded products. And by extension, the indicator raw material consumption (RMC) shows the amount of extraction required to produce the products demanded by final users in the EU-28, irrespective of where in the world the extraction of material from the environment took place.  The MFA-RME dataset (env_ac_rme) includes: domestic material extraction by material, directly taken from the EW-MFA dataset (env_ac_mfa), see also Section 15.3 and 17.2 below,estimates of the imports and exports in raw material equivalents (RME) by materialderived indicators, namely raw material input (RMI) and raw material consumption (RMC), by material, see also Section 3.2 below.   The MFA-RME dataset by final uses of products (env_ac_rmefd) presents RMC in more detail by: materialfinal productsfinal uses (representing subcategories of RMC) The two MFA-RME datasets are compiled using the same model and are fully consistent.    For more information on the complete set of material flow accounts see also the dedicated website on material flows and resource productivity.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

SBS series on Environmental protection expenditure in industry are closely related to other SBS domains for which separate metadata files have been compiled (See 'General Information' in the  annex at the bottom of the page). They cover the NACE Rev 1.1 sections C to F, covering Industry (sections C-E) and Construction (F). Three characteristics on environmental protection expenditure are defined: 21 11 0: Investment in equipment and plant for pollution control and special anti-pollution accessories (mainly 'end-of-pipe' equipment. 21 12 0: Investment in equipment and plant linked to cleaner technologies ('integrated technology') 21 14 0: Total current expenditure on environmental protection. Both tables specify the above characteristics according to NACE Rev1.1 division level. A first table further provides a breakdown according to the environmental domain: protection of ambient air and climate, wastewater management, waste management and other environmental protection measures. The second table further contains a breakdown according to enterprise size in three classes: 1-49, 20-249 and 250+ persons employed

Eurostat Dataset Id:med_en21 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Yearly data on “Regional municipal waste collection and treatment” collected biennially by means of the REQ – Regional environmental questionnaire Data aggregation: regional data on NUTS2 level.

Municipal waste is mainly produced by households, similar wastes from sources such as commerce, offices and public institutions are included. The amount of municipal waste generated consists of waste collected by or on behalf of municipal authorities and disposed of through the waste management system. The amount of municipal waste treatment is reported for the treatment operations incineration (with and without energy recovery), recycling, composting and landfilling. Data are available in thousand tonnes and kilograms per person. Wastes from agriculture and from industries are not included. For further detail on the definition please refer to section 3.4. The Sustainable Development Indicator on municipal waste is expressed in kilograms per person.

20.1. Source data

This dataset presents trends in amounts of municipal waste generated (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.

Environmental protection expenditure accounts (EPEA) quantify the resources devoted to the environmental protection by resident economic units. EPEA measure the economic resources devoted to all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Environmental protection expenditure accounts (EPEA) present the data on expenditure for environmental protection in a way that is compatible with national accounts. EPEA is one of the environmental accounts and it is an integrated part of the European environmental economic accounts published by Eurostat.

Citation: Global Footprint Network, National Footprint and Biocapacity Accounts, 2022  Edition Downloaded 2022 -04 -19 from  https://data.footprintnetwork.org .   NFA 2022 National Footprint and Biocapacity Accounts data set (1961-2018) This data includes total and per capita national biocapacity, the ecological footprint of consumption, the ecological footprint of production, and total area in hectares. This dataset, however, does not include any of our yield factors (national or world) nor any equivalence factors.    

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste generation has a breakdown in sources (19 business activities according to the NACE classification and household activities) and in waste categories (according to the European Waste Classification for statistical purposes). The information on waste treatment is broken down to five treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment) and in waste categories. All values are measured in tonnes of waste and in kg per capita, based on the annual average of the population. The Member States are free to decide on the data collection methods. The general options are: surveys, administrative sources, statistical estimations or some combination of methods. For the first reference year 2004 Member States could apply for permission not to deliver part of the information: waste generated by agriculture and fishing and waste generated in the services sector. For this reason this information is missing for some of the countries. Previously data on waste was collected on a voluntary basis with the joint OECD/Eurostat questionnaire on waste.

Eurostat Dataset Id:med_en52 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Ocean Health Index

The data presented here refer to the latest year available, which corresponds to the late 2000s for most countries. The data on the state of threatened species build on country replies to the Annual Quality Assurance (AQA) of OECD environmental reference series. These data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI). Some where updated or revised on the basis of comments from national Delegates and in the framework of the OECD Environmental Performance Reviews. When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in extistence and that varying definitions can limit comparability accross countries. The data presented here show numbers of known species and threatened species with the aim of indicating the state of mammals, birds, freshwater fish, reptiles, amphibians and vascular plants.

This dataset covers the uses of wildlife resources and related pressures from human activities: fish production; catches of fish and other aquatic animals and products and the management of wildlife resources: biosphere reserves and wetlands of international importance; major protected areas.

As countries are increasingly using a wide range of policy measures to address agri-environmental issues, indicators provide crucial information to monitor and analyse the effects of those policies on the environment. They can also help the understanding and analysis of the environmental effects of future policy scenarios and agricultural projections. To help improve measurement of the environmental performance of agriculture, OECD has established a set of agri-environmental indicators, with development of the indicators in cooperation with Eurostat and FAO. These indicators inform policy makers and society on the state and trends in agri-environmental conditions, and can provide a valuable aid to policy analysis.

This indicator is defined as the number of EMAS-registered organisations and sites. The Eco-Management and Audit Scheme (EMAS) is a voluntary environmental management system implemented by companies and other organisations from all sectors of economic activity including local authorities, to evaluate, report on and improve their environmental performance. The scheme integrates ISO 14001 (International Standard for Environmental Management System) as its environmental management system element. Since April 2001, corporate registrations are possible, wherein organisations gather all their sites under one registration number. The European Commission started to collect numbers of sites in addition to number of organisations in March 2004 to give a more accurate picture of EMAS development.

Eurostat Dataset Id:med_en53 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Physical energy flow accounts (PEFA) is one module of the European environmental-economic accounts - Regulation (EU) 691/2011 Annex VI. PEFA record the flows of energy (in terajoules)from the environment to the economy (natural inputs),within the economy (products), andfrom the economy back to the environment (residuals), using the accounting framework of physical supply and use tables. PEFA provide information on energy flows arranged in a way fully compatible with concepts, principles, and classifications of national accounts – thus enabling integrated analyses of environmental, energy and economic issues e.g. through environmental-economic modelling. PEFA complement the traditional energy statistics, balances and derived indicators which are the main reference data source for EU energy policies. This metadata refers to three PEFA datasets based on one and the same data collection:Energy supply and use by NACE Rev. 2 activity (env_ac_pefasu), containing data on supply (table A), use (table B), transformation use (table B1), end use (table B2) and emission-relevant use (table C)Key indicators of physical energy flow accounts by NACE Rev. 2 activity (env_ac_pefa04)Physical energy flow accounts totals bridging to energy balances totals (env_ac_pefa05)

Source is not publishing the dataset anymore: "The dataset identified with code t2020_rk300 does not exist"   6.1. Reference area

Data cited at: Numbeo-https://www.numbeo.com/pollution/rankings_by_country.jsp?title=2020 Pollution Index is an estimation of the overall pollution in the city. The biggest weight is given to air pollution, than to water pollution/accessibility, two main pollution factors. Small weight is given to other pollution types. Pollution Exp Scale is using an exponential scale to show very high numbers for very polluted cities, and very low numbers for unpolluted cities. Therefore to calculate formula it uses the exponential function to calculate the index.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

Eurostat Dataset Id:med_en47 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

Environmental protection expenditure accounts (EPEA) quantify the resources devoted to the environmental protection by resident economic units. EPEA measure the economic resources devoted to all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Environmental protection expenditure accounts (EPEA) present the data on expenditure for environmental protection in a way that is compatible with national accounts. EPEA is one of the environmental accounts and it is a part of the European environmental economic accounts published by Eurostat. EPEA data are reported by the Member States, EFTA countries and candidate countries. Eurostat estimates the missing values and calculates the EU aggregates.

This indicator presents the trend in aggregated production volumes of chemicals with harmful impacts to the aquatic environment, broken down into five environmental impact classes: Chemicals with severe chronic impacts; significant chronic impacts; moderate chronic impacts; chronic impacts and significant acute impacts to the aquatic environment.

This dataset provides estimates of the production, value added, exports and employment of the environmental goods and services sector (EGSS). The EGSS is the part of the economy that generate environmental products, i.e. those produced for the purpose of environmental protection and resource management. Environmental protection includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Those activities and actions include all measures taken in order to restore the environment after it has been degraded. Resource management includes the preservation, maintenance and enhancement of the stock of natural resources and therefore the safeguarding of those resources against depletion. The EGSS accounts are produced in accordance with the statistical concepts and definitions set out in the system of environmental economic accounting 2012 – central framework (SEEA CF 2012, see annex). Datasets env_ac_egss1 and env_ac_egss2 consist of country data produced by the Member States, who transmit the data to Eurostat and further disseminates it. The EU estimates in datasets env_ac_egss1, env_ac_egss2 and env_ac_egss3 are produced by Eurostat not as a sum of available countries but using methods documented in the Eurostat EGSS practical guide (see methodology page) and data sources publicly available. In addition, Eurostat produces output and gross value added volume estimates, i.e. discounting changes in prices, for all countries published in dataset env_ac_egss2.

This dataset provides estimates of the production, value added, exports and employment of the environmental goods and services sector (EGSS). The EGSS is the part of the economy that generate environmental products, i.e. those produced for the purpose of environmental protection and resource management. Environmental protection includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution and of any other degradation of the environment. Those activities and actions include all measures taken in order to restore the environment after it has been degraded. Resource management includes the preservation, maintenance and enhancement of the stock of natural resources and therefore the safeguarding of those resources against depletion. The EGSS accounts are produced in accordance with the statistical concepts and definitions set out in the system of environmental economic accounting 2012 – central framework (SEEA CF 2012, see annex). Datasets env_ac_egss1 and env_ac_egss2 consist of country data produced by the Member States, who transmit the data to Eurostat and further disseminates it. The EU estimates in datasets env_ac_egss1, env_ac_egss2 and env_ac_egss3 are produced by Eurostat not as a sum of available countries but using methods documented in the Eurostat EGSS practical guide (see methodology page) and data sources publicly available. In addition, Eurostat produces output and gross value added volume estimates, i.e. discounting changes in prices, for all countries published in dataset env_ac_egss2.

Eurostat Dataset Id:med_en51 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Annual data on biodiversity are re-published under agreement with the data providers, who are also responsible for the data quality. Eurostat does not receive the data from the Member States. Updates are annual, but with no particular calendar, because we depend on the data providers' ability to deliver. Eurostat's role is to check data quality, provide feedback to the data providers and publish the data it deems to be reliable. Eurostat should therefore NOT be quoted as the source. The topics covered and providers are: Protected terrestrial area by Member State (env_bio1; from Natura 2000 Barometer, DG ENV and EEA)Protected marine area by Member State (idem)Sufficiency index of protected terrestrial area by Member State (idem, to be discontinued and replaced)Sufficiency index of protected marine area by Member State (idem, to be discontinued and replaced)Common farmland bird index by Member State (env_bio2; BirdLife NGOs and OECD)EU Common bird indices by type of estimate (env_bio3; unsmoothed, smoothed with confidence interval) (EBCC/ RSPB /BirLife/Statistics Netherlands Souces for protected areas, European Commission Directorate-General for the Environment (DG ENV),  European Environment Agency (EEA) and its European Topic Centre on Biological Diversity (particularly for the sufficiency indices). Birds: The European Bird Census Council (EBCC) and its Pan-European Common Bird Monitoring Scheme (PECBMS) programme. The source to be quoted for the EU Common bird indices by type of estimate is EBCC/RSPB/BirdLife/Statistics Netherlands. The source to be quoted for Common farmland bird index by Member State is the national BirdLife organisation, re-published from OECD.

Information and data are collected based on the Directive 2006/66/EC on batteries and accumulators and waste batteries and accumulators (subsequently called Battery Directive) and in Commission Decision 2008/763/EC establishing a common methodology for the calculation of annual sales of portable batteries and accumulators to end-users, and on Commission Regulation (EU) No 493/2012 laying down detailed rules regarding the calculation of recycling efficiencies of the recycling processes of waste batteries and accumulators. The purpose of the collected data is to monitor compliance of countries with the quantitative targets for collection of batteries and accumulators that are set out in Article 10(2) and for recycling of batteries and accumulators that are set out in Article 12 (4) and in Annex III (Part B: Recycling) of the Directive. The Battery Directive distinguishes between portable batteries and accumulators on the one hand and industrial and automotive batteries and accumulators on the other. The collection target refers to portable batteries and accumulators and the recycling targets to all batteries and accumulators. Further information on the policy need of data on batteries and accumulators can be found on the following website of Directorate General Environment: http://ec.europa.eu/environment/waste/batteries/index.htm

The indicator is calculated by multiplying the 'collection rate' as set out in the Waste Electrical and Electronic Equipment (WEEE) Directive with the 'reuse and recycling rate' set out in the WEEE Directive, where: • The 'collection rate' equals the volumes collected of WEEE in the reference year divided by the average quantity of electrical and electronic equipment (EEE) put on the market in the previous three years (both expressed in mass unit). • The 'reuse and recycling rate' is calculated by dividing the weight of the WEEE that enters the recycling/preparing for re-use facility by the weight of all separately collected WEEE (both in mass unit) in accordance with Article 11(2) of the WEEE Directive 2012/19/EU, considering that the total amount of collected WEEE is sent to treatment/recycling facilities. The indicator is expressed in percent (%) as both terms are measured in the same unit.

The indicator measures the share of recycled municipal waste in the total municipal waste generation. Recycling includes material recycling, composting and anaerobic digestion. The ratio is expressed in percent (%) as both terms are measured in the same unit, namely tonnes.

The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).

Eurostat Dataset Id:med_en41 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

20.1. Source data

Information and data are collected based on the Directive 2006/66/EC on batteries and accumulators and waste batteries and accumulators (subsequently called Battery Directive) and in Commission Decision 2008/763/EC establishing a common methodology for the calculation of annual sales of portable batteries and accumulators to end-users, and on Commission Regulation (EU) No 493/2012 laying down detailed rules regarding the calculation of recycling efficiencies of the recycling processes of waste batteries and accumulators. The purpose of the collected data is to monitor compliance of countries with the quantitative targets for collection of batteries and accumulators that are set out in Article 10(2) and for recycling of batteries and accumulators that are set out in Article 12 (4) and in Annex III (Part B: Recycling) of the Directive. The Battery Directive distinguishes between portable batteries and accumulators on the one hand and industrial and automotive batteries and accumulators on the other. The collection target refers to portable batteries and accumulators and the recycling targets to all batteries and accumulators. Further information on the policy need of data on batteries and accumulators can be found on the following website of Directorate General Environment: http://ec.europa.eu/environment/waste/batteries/index.htm

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

20.1. Source data

18.1. Source data

The indicator estimates the increase in sealed soil surfaces with impervious materials due to urban development and construction (e.g. buildings, constructions and laying of completely or partially impermeable artificial material, such as asphalt, metal, glass, plastic or concrete). This provides an indication of the rate of soil sealing, when areas change land use towards artificial and urban land use. The indicator builds on data from the imperviousness High Resolution Layer (a product of the Copernicus Land Monitoring Service). Imperviousness is mapped at 20m resolution and with a minimum mapping unit of 20m. The indicator is presented in the following units: Index 2006=100 % of total surface total sealed surface in km2

%The index of sufficiency of Member States proposals for sites designated under the habitats directive measures the extent to which Sites of Community Importance proposed by the Member States adequately cover the species and habitats listed in Annexes I and II to the habitats directive. 100% indicates sufficiency of proposals for all Annex I terrestrial habitat types and Annex II terrestrial species of Community interest occuring in Member States' territories.

Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.

Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The Sustainable Development Report 2020 presents the SDG Index and Dashboards for all UN member states and frames the implementation of the Sustainable Development Goals (SDGs) in terms of six broad transformations. It was prepared by teams of independent experts at the Sustainable Development Solutions Network (SDSN) and the Bertelsmann Stiftung.

The OECD Sustainable Ocean Economy Database synthesizes available ocean-related datasets and indicators from across the Organisation to improve their discoverability and comparability. The database brings together relevant indicators from the Environment Directorate (ENV), the Trade and Agriculture Directorate (TAD), the Centre for Entrepreneurship, SMEs, Regions and Cities (CFE), the International Transport Forum (ITF), the International Energy Agency (IEA), and others.

This dataset presents the latest data on the state of threatened species, by species type.    When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in existence and that varying definitions can limit comparability across countries.   Data source(s): OECD Annual Quality Assurance (AQA) questionnaire.

The European Union (EU) has a system to supervise and control shipments of waste within its borders and with the countries of the European Free Trade Association (EFTA), the Organisation for Economic Cooperation and Development (OECD) and non-EU countries that have signed the Basel Convention. In the EU, the regulatory framework for transboundary shipments of waste is Regulation 1013/2006 on shipments of waste, commonly referred to as the Waste Shipment Regulation (WShipR).The Regulation implements the Basel Convention and its ban on exporting hazardous waste from OECD countries to non-OECD countries, since these countries do not have proper and sufficient waste treatment capacity. The Regulation also implements the OECD-Council Decision on the control of transboundary shipments of waste. The OECD countries have developed a system for the notification of waste destined for recovery in the OECD countries. The WShipR also sets some additional requirements for transboundary shipments within and out of the EU. A planned shipment subject to the procedure of prior notification and consent may take place only after the notification and movement documents have been completed. According to the WShipR, all wastes for disposal operations and for recovery operations, all hazardous waste as well as some problematic waste streams and other wastes defined by the WShipR, must be notified to the authorities before it is allowed to be transboundary shipped. The notification document is described in Annex IA of the WShipR. Typically the notification document covers the whole intended amount for shipment (block 5 of the notification document). This intended amount is not necessarily the same amount as the actual quantity shipped and received at the disposal or recovery facility, which is reported to the authorities according to the so called movement document described in Annex IB of the WShipR (block 18 and 19 of the movement document). The notification and movement documents shall include the codes that identify the waste type according to Annex III, IIIA, IIIB, IV or IVA of the WShipR. That is to say in practice mainly the codes applied by the Basel convention, additional codes according to OECD-Council Decision and the European list of waste. Furthermore the notification and movement documents shall include information about hazardous characteristics (so called H-code and UN-class), the disposal and recovery operation code. Based on the above mentioned notification and movement documents Member States report to the EU on the basis of Article 51 of the WShipR. Article 51 point 2 requires Member States to send to the Commission before the end of each calendar year a copy of the report for the previous year in accordance with Article 13(3) of the Basel Convention, which is submitted to the Secretariat of that Convention. The report consists of three parts: Part I, Part IIA and Part IIB. Part IIA of the Basel report includes four tables Table 6 (export), 7(import), 8A (generation of hazardous waste and other wastes) and 8B (generation of hazardous and other wastes by categories). Moreover, Member States shall also submit a report for the previous year based on the questionnaire in Annex IX to the WShipR. Eurostat manages the quantitative data reporting included by Part IIA, whereas the DG Environment is in charge of managing information received via Part I, Part IIB and Annex IX to the WShipR.

The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.

Eurostat Dataset Id:env_wwcap_r2 Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

Mexico: "Total urban wastewater treatment" include some plants whose treatment type is not identified Netherlands: Other waste water treatment, design capacity BOD 1000 kg O2/day: the design capacity is expressed in Total Oxygen Demand (1000 kg O2/day, not BOD). This value is based on pollution equivalents of 136 grams O2 per day.

Eurostat Dataset Id:env_wastrtr

On the basis of the Regulation on waste statistics (EC) No. 2150/2002, amended by Commission Regulation (EU) No. 849/2010, data on the generation and treatment of waste is collected from the Member States. The information on waste generation has a breakdown in sources (19 business activities according to the NACE classification and household activities) and in waste categories (according to the European Waste Classification for statistical purposes). The information on waste treatment is broken down to five treatment types (recovery, incineration with energy recovery, other incineration, disposal on land and land treatment) and in waste categories. All values are measured in tonnes of waste and in kg per capita, based on the annual average of the population. The Member States are free to decide on the data collection methods. The general options are: surveys, administrative sources, statistical estimations or some combination of methods. For the first reference year 2004 Member States could apply for permission not to deliver part of the information: waste generated by agriculture and fishing and waste generated in the services sector. For this reason this information is missing for some of the countries. Previously data on waste was collected on a voluntary basis with the joint OECD/Eurostat questionnaire on waste.

Eurostat Dataset Id:env_wwplt_r2 Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

Data Cited at:  PBL Netherlands Environmental Assessment Agency   Trends in Global CO2 and Greenhouse Gas Emissions: 2021 Report   Notes : CO2 equivalent berekend met Global Warming Potentials (GWP-100) van het Vierde IPCC Fourth Assessment report (2017). CO2 equivalent calculated with Global Warming Potentials (GWP-100) of the Fourth IPCC Assessment report (2017).

Latest data available here by topic: Emission - https://knoema.com/FAOEMLULUT2015/, https://knoema.com/FAOEMLUBM2017/ Environment- https://knoema.com/FAOAGLND2017/agri-environmental-indicators-land Forest - https://knoema.com/FAOEMLUFL2015/ Energy: https://knoema.com/WBMDG2017/millennium-development-goals?accesskey=dsyjnoe  

The ND-GAIN Country Index summarizes a country's vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.  View the ND-GAIN technical documentation for more information

The indicator measures the percentage of population in urban areas with PM10 concentrations exceeding the daily limit value (50 µg/m3). This daily limit should not be exceeded on more than 35 days in a calendar year. The exposure to PM10 pollution is estimated based upon PM10 measured at all urban monitoring stations, including urban and suburban traffic station types. The air quality data is collected by the European Environment Agency on an annual basis according to the Exchange of Information Decision (97/101/EC amended by the Commission Decision 2001/752/EC). All data is stored in AirBase, the European air quality database, which has data back to 1999. Information on cities (used to weight the data by population) is obtained from the Urban Audit data. The methodology for the calculation of the indicator is developed by the European Environment Agency.

The indicator shows the population-weighted concentration of ozone to which the urban population is potentially exposed. The principle metric for assessing the effects of ozone on human health is, according to the World Health Organisation’s recommendations (*), the daily maximum 8-hour mean. Ozone effects should be assessed over a full year. Current evidence is insufficient to derive a level below which ozone has no effect on mortality. However, for practical reason it is recommended to consider an exposure parameter which is the sum of excess of daily maximum 8-h means over the cut-off of 70 μg/m3 (35 ppb) calculated for all days in a year. This exposure parameter has been indicated as SOMO35 (sum of means over 35), and is extensively used in the health impact assessments, including the Clean Air for Europe (CAFE) Programme leading to the Commission Communication on the Thematic Strategy on Air Pollution. The indicator is published by Eurostat based on data from the European Environment Agency (EEA). The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdph380´s table: Eurobase > Tables by themes > Environment and Energy > Environment > Greenhouse gases/Air polution > Urban population exposure to air pollution by ozone (tsdph380) tsdph380´s table within the SDI set: Eurobase > Tables on EU policy> Sustainable Development Indicators > Public health > Determinants of health >Urban population exposure to air pollution by ozone (tsdph380)   (*) UN ECE (2004) Summary report prepared by the joint Task Force on the Health Aspects of Air Pollution of the World Health Organization/European Centre for Environment and Health and the Executive Body, EB.AIR/WG.1/2004/11

20.1. Source data

Eurostat Dataset Id:med_en46 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Data on Waste electrical and electronic equipment (WEEE) is collected on the basis of  Directive 2012/19/EU of the European Parliament and of the Council of 4 July 2012 on waste electrical and electronic equipment (WEEE).The purpose of the collected data is to monitor compliance of countries with the quantitative targets for collection, reuse and recycling, and recovery of WEEE that are set out in Article 7 (collection rate) and article 11 ( recovery targets). Directive 2012/19/EU on waste electrical and electronic equipment (WEEE) introduces stepwise higher collection targets that will apply from reference year 2016 and 2019. Further information on the policy need of data on WEEE can be found on the following website of Directorate General Environment: http://ec.europa.eu/environment/waste/weee/index_en.htm

The indicator presents the amount of waste excluding major mineral wastes generated in the EU 28, expressed in kg per inhabitant and year. The indicator allows to monitor waste generation over time for the EU as a whole and to compare the development of waste generation across countries. The indicator covers hazardous and non-hazardous waste from all economic sectors and from households, including waste from waste treatment (secondary waste) but excluding major mineral wastes. The indicator is based on data compiled according to Annex I of the Waste Statistics Regulation (Regulation 2150/2002/EC) and according to aggregates of the material-oriented statistical waste nomenclature EWC-Stat in Annex III of the Waste Statistics Regulation (WStatR). Key policy question: Waste prevention: Are we reducing the generation of waste - Basic data: Eurobase, table Generation of waste (env_wasgen) For more detail see item 13. Relevance

Waste generated by households (EP-HH) by year and waste category (EWC-Stat 4).

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

The indicator presents i) the annual total fresh water abstraction in a country as a percentage of its long-term annual average (LTAA) available water from renewable fresh water resources; ii) the annual groundwater abstraction as a percentage of the country’s long-term annual average groundwater available for abstraction; and iii) the annual surface water abstraction as a percentage of the country’s long-term annual average surface water resources available for abstraction. The latter is calculated as the total fresh water resources (external inflow plus precipitation less evapotranspiration) less groundwater available for abstraction. Total fresh water abstraction includes water removed from any fresh water source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded. The minimum period taken into account for the calculation of LTAA is 20 years. The warning threshold of 20% for this indicator distinguishes a non-stressed from a water scarce region, with severe scarcity occurring where the WEI exceeds 40%. However the indicator is limited for several reasons: Firstly, the total fresh water abstraction does not distinguish between abstracted water that is redirected after use (and after appropriate treatment) back to the water body or if it is used for irrigation purposes with inevitable evaporation. Secondly, the abstraction and WEI are national data and disregard regional and seasonal changing conditions during the course of the year (water bodies/river basins with different level of water scarcity and hot spots in summer time). Eurostat is in maintaining more differentiated data but coverage is not yet considered sufficient. As soon as the more advanced indicator WEI+ is established, it will replace the WEI. More information can be found in Statistics Explained.

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

Water productivity indicates how much economic output is produced per cubic meter of fresh water abstracted (in EUR per m3 or PPS per m3). It serves as a measure of the efficiency of water use. Total fresh water abstraction includes water removed from any fresh water source, either permanently or temporarily. Mine water and drainage water as well as water abstractions from precipitation are included, whereas water used for hydroelectricity generation (in situ use) is excluded. The indicator is limited for several reasons: Firstly, total fresh water abstraction does not distinguish between abstracted water that is redirected after use (and after appropriate treatment) back to the water body or if it is used for irrigation purposes with inevitable evaporation. Secondly, no distinction is made between fresh water abstracted from surface or groundwater. Lastly, water abstraction statistics are national data and disregard regional and seasonal changing conditions during the year (water bodies / river basins with different level of water scarcity and hot spots in summer time). Eurostat is in maintaining more differentiated data (groundwater, surface water, regional breakdown), but coverage is not yet considered sufficient. For the interpretation it should be taken into account that water productivity is strongly influenced by the economic structure and the proportion of water intensive industries. A lower water productivity primarily means that the economic and industrial structure of the country is water use intensive. A less water-consuming economy would show a relatively high water productivity. The change in water productivity is influenced by both ‘real’ productivity improvements and deteriorations, as well as by changes in economic and industry structure. For the calculation of water productivity Eurostat uses the GDP either in the unit of EUR in chain-linked volumes to the reference year 2010 at 2010 exchange rates or in the unit PPS (Purchasing Power Standard). The unit EUR in chain linked volumes allows observing the water productivity trends over time in a single geographic area, whereas the unit PPS allows to compare countries for the same year. Since GDP is measured in million EUR or million PPS and water abstraction in million cubic meters, water productivity is available in both EUR per m3 and PPS per m3. More information on water statistics in Statistics Explained

Eurostat Dataset Id:med_en44 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

This dataset presents national-level data on water made available for use, by sector. The interpretation of those data should take into account some variations in countries' definitions, as reflected in metadata. Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)

Eurostat Dataset Id:med_en42 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.

Water supplied by economic units engaged in collection, purification and distribution of water (including desalting of sea water to produce water as the principal product of interest, and excluding system operation for agricultural purposes and treatment of waste water solely in order to prevent pollution). Deliveries of water from one public supply undertaking to another are excluded. The difference between the total water abstraction for the public water supply (cf. table ten00006) and the figures in this table represents the losses in the system, i.e. during purification, storage and distribution.

Abstraction of water by the user for own final use.

Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates