Paper, Plastic Packaging Products & Materials · European Environment Agency (EEA)

European Environment Agency - Plastics Topic Data

Datadory delivers european environment agency plastics topic data data covering the EEA's curated plastics record - nine headline circularity metrics on EU plastics consumption (55.2 Mtonnes, 2022), circularity of plastic materials (12.1%, 2022), mechanical recycling capacity (13 Mtonnes, 2023), value-chain GHG emissions (193 Mtonnes CO2e, 2022) and plastic scrap prices (467 EUR/tonne, 2022), alongside the topic page's context figures from 150 kg per-person Western European consumption to packaging's near-40% share of plastic demand - delivered daily, weekly, or hourly.

API, files, or your warehouse. Daily, weekly, or hourly.

What is the European Environment Agency plastics topic data?

European Environment Agency plastics topic data is the Paper, Plastic Packaging Products & Materials catalog's policy-grade headline record on plastics: the EEA's in-depth plastics topic page - the agency's curated entry point for plastics statistics, indicators, infographics and reports - paired with its Circularity Metrics Lab plastics module, which publishes nine headline circularity metrics, each stamped with a value, a reference year and a trend direction.

The nine metrics cover the whole material loop. Consumption: total EU plastics consumption by end-users of 55.2 Mtonnes (2022). Circularity: EU circularity of plastic materials at 12.1% - the contribution secondary plastics produced and recycled inside the EU make to consumption (2022). Capacity: mechanical recycling capacity of 13 Mtonnes processable (2023). Footprint: GHG emissions from EU plastics value chains of 193 Mtonnes CO2 equivalent (2022). Price: average plastic scrap at 467 EUR/tonne (2022). And four directional signals - plastics waste exports outside the EU down 49% between 2016 and 2023, beach litter down 29%, microplastic releases up 7-9%, and bio-based plastics below 1% of global output.

Around them sits the topic page's context layer: Western European plastic consumption of roughly 150 kg per person per year against a 60 kg global average; European plastic production of 57.2 Mt in 2021 with only a 10.1% post-consumer recycled content rate and a 2.3% bio-based share; EU plastic-production emissions of about 13.4 Mt CO2 per year, some 20% of the chemicals industry's EU emissions; and the packaging headline itself - nearly 40 percent of plastic demand comes from plastic packaging production. One record, and the entire EU plastics-policy debate arrives pre-summarized.

What do sample rows look like?

One metric per row - name, value, reference year, trend where the module renders one. Five of the nine, exactly as they ship:

metric_name    : EU circularity of plastic materials
metric_value   : 12.1% secondary-plastics contribution to EU consumption
reference_year : 2022
trend          : (none published)

metric_name    : Total plastics consumption by end-users in the EU
metric_value   : 55.2 Mtonnes
reference_year : 2022
trend          : (none published)

metric_name    : EU mechanical recycling capacity
metric_value   : 13 Mtonnes processable
reference_year : 2023
trend          : (none published)

metric_name    : GHG emissions from EU plastics value chains
metric_value   : 193 Mtonnes CO2 equivalent
reference_year : 2022
trend          : (none published)

metric_name    : Average price of plastic scrap
metric_value   : 467 EUR/tonne
reference_year : 2022
trend          : (none published)

Five rows, one argument. Multiply the 12.1% circularity rate by the 55.2 Mtonnes consumption figure and secondary supply works out to roughly 6.7 Mtonnes - set against 13 Mtonnes of installed mechanical recycling capacity, which is the gap every EU packaging producer is currently being regulated toward closing. The scrap-price row is the market's verdict on that gap: at 467 EUR/tonne, recyclate is a priced commodity, not a rounding error.

What fields does the dataset include?

Four fields key every metric row, verified against the module's published presentation during the August 2026 research pass. The schema is deliberately small: a metric name, its headline value with the unit carried in-string, the reference year the figure applies to, and a qualitative trend enum where the module attaches one. That flatness is a feature - the nine metrics drop into a slide, a dashboard tile or a model feature list without a mapping exercise.

What the four-field dictionary deliberately does not promise is depth it does not have: there is no country dimension, no polymer split and no time series in the headline layer - each metric is a single EU-level value plus its year. Everything beyond the four documented columns therefore folds under additional fields on request rather than appearing here as if guaranteed.

What does coverage look like across geography, time and granularity?

Geography - the European Union at headline level, with EEA member-country coverage noted on individual metrics. These pages publish EU aggregates, not country tables: if an argument needs Netherlands-versus-Italy packaging tonnage, that lives in the country-keyed companions, not here.

Temporal - figures referenced mainly to 2016-2023. Consumption, circularity, value-chain GHG emissions and scrap prices are stamped 2022; mechanical recycling capacity carries 2023; the export-reduction signal is measured across the whole 2016-2023 window. The topic page's context layer adds 2021 production-side figures, giving a coherent recent-vintage snapshot rather than a mixed-decade collage.

Granularity - one headline value per metric: nine keyed observations per module pass, each carrying value, reference year and, where published, a trend direction. There is no drill-down beneath the headline on these pages - which is precisely why they make clean, citable top-of-funnel numbers, and why deeper series belong to the statistical companions named in the comparison below.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Your cadence is your call regardless of how often the underlying figures move. Every delivery ships the complete four-field dictionary above, the nine-metric sample set and the coverage profile mapped to whatever slice of the plastics story you named - consumption, circularity, capacity, price or the directional signals.

Who uses this data, and for what?

  • Packaging market sizing - the 55.2 Mtonnes consumption figure crossed with packaging's near-40% demand share sizes the European plastic-packaging market from official numbers before a single proprietary estimate is consulted.
  • Recycling-capacity gap analysis - 12.1% circularity against 13 Mtonnes of mechanical capacity quantifies the distance between where EU plastics are and where recycled-content targets assume they will be.
  • Recyclate price tracking - the 467 EUR/tonne scrap benchmark anchors pricing models and contract negotiations for anyone buying or selling recovered material.
  • ESG and regulatory reporting - value-chain emissions of 193 Mtonnes CO2e give sustainability teams a citable baseline for plastics-footprint disclosures.
  • Policy and trade monitoring - the 49% collapse in extra-EU waste exports between 2016 and 2023 measures how much discarded plastic now stays inside the EU system, with consequences for domestic reprocessing demand.
  • Microplastics risk screening - the up-7-9% microplastic-release signal and the synthetic-textile evidence base flag where brand and retailer exposure is heading.

Which personas get the most value?

Market researchers and consultants (relevance 3/3) get the entire EU plastics debate compressed into nine citable headline figures plus a context layer - the fastest defensible opening to any European packaging or circularity study; see market researchers use cases. Competitive intelligence and product teams (3/3) get the recycling-capacity and scrap-price markers that tell them whether recyclate supply chains their competitors depend on are tightening or loosening; see competitive intel product teams use cases. Investors and quants (2/3) get directional signals - exports down 49%, microplastics up 7-9% - that move regulatory risk premia on resin producers and recyclers, though the headline layer alone is too thin for backtesting; see investors quants use cases. Journalists and academics (3/3) get policy-grade figures with unambiguous units and reference years, safe to quote without a footnote audit; see journalists academics use cases.

How does it compare to alternatives in its slice?

Within paper, plastic packaging products and materials data, this record owns policy-grade summary: the EU institutions' own circularity scoreboard for plastics, nine metrics wide, with the context figures that turn numbers into a narrative. The neighbors own different jobs.

Eurostat Packaging Waste dataset (env_waspac) is the country-by-country workhorse - packaging waste generation and recycling tonnage per member state per year, the right instrument the moment a claim needs a national breakdown rather than an EU headline. Plastics Europe Data & Circularity Reports covers the production side the EEA quotes - resin output, converter demand, trade flows - with deeper producer-perspective series. US EPA Plastics Material-Specific Data is the American counterpart for US generation and recycling rates, useful when the comparison needs a transatlantic leg. Use this record for the citable EU-level scoreboard; route to the others when the question acquires a geography.

What should I know before requesting a sample?

Three things worth knowing upfront.

First, this is a headline record, not a cube. Nine metrics, each a single EU-level value with a year - plus the topic page's context figures. Nobody should mistake it for a time-series database; its job is authoritative summary, and it does that job better than anything else at this altitude. Country-resolved work belongs in the Eurostat env_waspac companion.

Second, three of the nine metrics publish as change signals, not levels: beach litter down 29%, microplastic releases up 7-9%, waste exports down 49%. They answer "which way is it moving", not "how much is there" - model them as directions unless you chase the underlying baselines through the linked indicator work.

Third, the research pass verified the four documented fields and the nine published values; the module's per-metric subpages were not exhaustively enumerated, so anything beyond the headline layer - per-metric detail references, linked-report titles, trend-history depth - is offered under additional fields on request and confirmed in the sample, never assumed. The sample shows you exactly what ships before anything is promised.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - four documented fields keying each of the nine headline metrics
fieldtypedefinitionexample
metric_namestringTitle of a headline circularity metric, e.g. 'EU circularity of plastic materials' or 'EU mechanical recycling capacity'. Nine such metrics key the module.EU circularity of plastic materials
metric_valuestringHeadline figure quoted beside the metric, unit carried in the string - percentages, megatonnes, euros per tonne, CO2 equivalent.12.1% contribution of secondary plastics produced/recycled in the EU to consumption
reference_yearintegerYear to which the quoted figure applies, stated alongside every metric value.2022
trendenumQualitative direction attached to a metric where the module renders one: improving, deteriorating, stable, or no trend.improving

Questions buyers ask

Which nine metrics does the module publish?

Total EU plastics consumption by end-users (55.2 Mtonnes, 2022); EU circularity of plastic materials (12.1%, 2022); EU mechanical recycling capacity (13 Mtonnes, 2023); GHG emissions from EU plastics value chains (193 Mtonnes CO2e, 2022); average plastic scrap price (467 EUR/tonne, 2022); plastics waste exports outside the EU down 49% (2016-2023); beach litter down 29%; microplastic releases up 7-9%; and bio-based plastics below 1% of global output. Four levels, five directional signals, one loop.

What years do the figures refer to?

Mainly 2016-2023, with each metric stamped individually: consumption, circularity, GHG emissions and scrap price sit at 2022, recycling capacity at 2023, and the export-reduction measure spans 2016-2023 as a window rather than a point. The topic page's context layer adds 2021 production figures. A sample confirms the reference year printed beside every value before you cite it.

Is there any country-level breakdown?

Not on these pages - the metrics are EU-level headline values by design, with EEA member coverage noted where relevant. When the argument needs member-state resolution, the Eurostat packaging-waste companion (env_waspac) carries the country-by-year tonnage, and the two records pair cleanly because both speak the EU institutional vocabulary.

What do the trend badges mean?

Each metric can carry a qualitative direction - improving, deteriorating, stable or no trend - rendered beside the value. Treat them as editorial verdicts on the trajectory, useful for scanning and framing, while the quantitative change figures behind them (down 49%, down 29%, up 7-9%) carry the magnitudes.

How does this compare to Plastics Europe's production reports?

Complementary angles on the same material loop. Plastics Europe publishes the producer view - resin production, converter demand and trade - and supplies several production-side figures this record quotes, such as the 57.2 Mt produced in 2021 and the 10.1% post-consumer recycled-content rate. This record packages the regulator's view: consumption, circularity, capacity, emissions and price as an official scoreboard. Analysts typically hold both and cite each for its own half of the argument.

Can a sample be cut to specific metrics?

Yes. Name the metrics - or the theme, such as recycling capacity or scrap economics - and the sample arrives shaped to that scope with the four-field dictionary attached, reference years explicit and any additional fields confirmed in writing before delivery. Samples precede any commitment.

Notes on this record

  • Headline-shaped by design Nine keyed metrics with a narrative context layer around them - not a bulk cube. Anything beyond the four documented fields folds under additional fields on request.
  • Directional metrics are signals, not levels Beach litter (down 29%), microplastic releases (up 7-9%) and waste exports (down 49%) publish as change figures; absolute baselines sit in the linked indicator work, not the headline layer.
  • Mid-catalog score, high-altitude niche Datadory scores this record 7/10 against a catalog mean of 7.81 - policy-grade authority at EU level trading off against the absence of country and time-series depth.

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