Land use, agriculture, forests, biodiversity, water and wildfires.
Environmental statistics combine measurements taken on the ground, remote sensing, administrative reporting and models. Forest area, agricultural land, water stress and biodiversity indicators therefore carry different spatial resolution and uncertainty. The assets here retain links to the primary provider so those limits can be checked.
A trend may also depend on the chosen baseline or classification system. Cite Supply shows source, freshness and rights evidence on each asset page and only exposes reuse actions that match the reviewed conditions. Publishers remain responsible for representing the original definitions accurately.
Eurostat dataset env_esst_cepgg; Environmental subsidies and similar transfers from general government, by environmental activity, sector of recipient and ESA category of transfer; updated 2026-08-27T23:00:00+0200.
Eurostat dataset env_esst_ceprw; Environmental subsidies and similar transfers from the rest of the world to the domestic economy, by environmental activity and ESA category of transfer; updated 2026-08-27T23:00:00+0200.
Eurostat dataset env_epea_psp; Production of environmental protection services by corporations as specialist and secondary producers, by economic characteristics and environmental purpose; updated 2026-06-15T23:00:00+0200.
Eurostat dataset env_ac_pepsns1; Production of environmental protection services of corporations as ancillary producers by economic characteristics and NACE Rev. 2 activity; updated 2026-01-04T11:00:00+0100.
Monitoring is expressed as the number of data tables implemented within the Tourism Satellite Account (TSA) and the System of Environmental and Economic Accounts (SEEA). These tables organize and track key economic and environmental aspects of tourism, such as expenditure, production, employment, and resource flows.
Mismanaged plastic waste is plastic that is littered or thrown away improperly. It is not securely contained in a landfill or properly managed facility, so it can escape into the environment. This data captures how likely this waste is to be emitted into the ocean based on geographical factors such as distance to coastlines, river networks, topography and rainfall patterns.