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Generation of textile waste in 2020, in kilograms per capita

Amounts of separately collected textile waste from economic activities and households were obtained from Eurostat’s ENV_WASGEN dataset. The amounts of textile waste in mixed municipal waste are estimations based on waste composition analyses (WCAs) and calculated on the mixed municipal waste from household and similar sources. As there is no harmonised method for the WCA throughout Europe, caution should be taken when interpreting these numbers. No data available on textiles in mixed municipal waste for Türkiye. Note that, due to a lack of capacity, Ireland and Norway were not able to verify these data. Therefore data are calculated based on the residual waste composition provided in EEA’s Early Warning assessment (EEA, 2022). Italy indicated that the amount from economic activities is an overestimation as this includes non-textile waste like scraps from leather manufacturing or secondary textile waste.

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Water pollutant releases changes from 2010 to 2022 for the EU Member States

The table show the top five emission reduction changes in pollutant releases into water in EU-27 Member States from 2010 to 2022.

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Change of pollutant releases into air in EU-27 countries in the period 2010-2022

The table shows the changes in pollutant releases in EU-27 Member States from 2010 to 2022

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Hazardous substances in mussels and oysters in Europe's seas

There is one map for each of the contaminants measured in mussels and oysters, which are representative of the hazardous substances in marine organisms. In the map, each of the small dots represents a station (a location which is regularly monitored), coloured according to estimated concentration levels (low/moderate/high relative to environmental thresholds). The big pie diagrams show, for each region, the proportion of stations that have low/moderate/high concentration levels. The arrow by each pie diagram shows whether concentrations are in general improving (decreasing concentrations) or show no significant change. There were no cases of increasing trends.

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