This dataset presents trends in man-made emissions of major air pollutants by sources.

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. It covers 28 countries.

This dataset provides information on the instruments used for environmental policy (environmentally related taxes).

This dataset provides information on 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.

This dataset 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, the Environmentally Adjusted Multifactor Productivity (EAMFP) increases when GDP increases or when pollution decreases.

This dataset presents mean population exposures to outdoor and ambient PM2.5 particles split by macror- and micro-regions.

This dataset presents mean population exposures to outdoor and ambient PM2.5 particles in metropolitan areas.

This dataset presents data that help to trace net changes in terms of volume in the growing stock of standing wood on forest land.

This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible.

This dataset on air and climate presents trends in man-made emissions of major greenhouse gases and total emissions by gas and by source.

This dataset contains information concerning land use state and changes (e.g. agricultural land, forest land).

This dataset provides information on material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers.

This dataset introduces patent-based indicators such as indicators of technology development, indicators of international collaboration in technology development, indicators of technology diffusion.

This dataset introduces patent-based indicators such as indicators of technology development, indicators of international collaboration in technology development, indicators of technology diffusion.

This dataset introduces  patent-based indicators such as indicators of technology development, indicators of international collaboration in technology development, indicators of technology diffusion.

This dataset introduces patent-based indicators such as indicators of technology development, indicators of international collaboration in technology development, indicators of technology diffusion.

This dataset on biodiversity shows 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 presents trends in amounts of municipal generated, and the treatment and disposal method used.

This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries.

This dataset takes stock of available freshwater resources in OECD countries.

This dataset provides information on the level of public equipment installed by countries to managed and reduce water pollution.