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Water statistics on river basin level (env_rwat)

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Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the Statistical Office of the European Union

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Yearly data on freshwater resources, water abstraction and use are collected annually by means of the RWQ Eurostat Regional Water Questionnaire. Data aggregation: RBD (River basin districts according to the Water Framework Directive, 2000/60/EC) and their subunits. (See Annex for correspondence of RBD codes between DG ENV and Eurobas.)

Annexes:
RBD-correspondence DG ENV - Eurobase

8 August 2025

Collection and compilation of annual data on a diversity of topics, comprising the following data sets for every RBD/SU:

  • Renewable fresh water resources;
  • Annual fresh water abstraction by source and by sector and other sources of water (marine and brackish water, desalinated water, reused water);
  • Regional water transfers;
  • Water losses;
  • Water use;

Water resources, abstraction, use: not applicable.

According to the parameter in question, inland waters, water abstracted (withdrawn) from water resources, water used.

Data are collected for all RBD and their subunits in countries where these were defined in the process of implementation of the Water Framework Directive.

The calendar year

No information available

For water resources, water abstraction and water use: million m³

Some indicators (e.g. per capita values) are calculated from the data.

The operational source of the data is the National Statistical Institutes or other providers of official statistics designated by individual countries (e. g. environmental agencies). The data collection uses the RWQ (regional water questionnaire).

Major update of the database every year according to the rhythm of data collection.

 

In case of regular reporting by the countries the time lag between the period covered by the data and publication of the data amounts up to 16 -18 months.

In principle geographical comparability is good, but interpretability of country data is limited due to aggregation of regional differences.

Comparability over time is generally good, but can be limited due to data gaps and breaks in series.