Eurostat Packaging Waste dataset (env_waspac) JSON API
Datadory delivers eurostat packaging waste dataset env waspac json api data covering packaging waste generated, recovered and recycled across the EU-27 aggregate, all 27 member states plus Iceland, Liechtenstein, Norway and Northern Ireland, split by packaging material - paper and cardboard, plastic, wood, metal with aluminium and steel splits, glass - by waste-management operation from 1997 through 2023, roughly 97,000 populated country-year cells.
What is the Eurostat Packaging Waste dataset (env_waspac)?
Europe's official answer to the question "how much packaging did each country generate, and where did it actually go?" env_waspac is the statistical office of the European Commission's annual packaging-waste time series, and Datadory normalizes it into analysis-ready rows: quantities generated, recovered, recycled, energy-recovered, repaired and landfilled, split across eleven material codes from total packaging down to steel-from-incineration-bottom-ash, for the EU-27 aggregate, every member state, Iceland, Liechtenstein, Norway and Northern Ireland, 1997 through 2023 - roughly 97,000 populated country-year-operation cells.
Why analysts care: this is the measurement layer underneath the EU's Packaging and Packaging Waste Directive. The dataset carries not just raw tonnes but dedicated recycling-rate series computed against both the 2008 target definition and the 2025-and-onwards definition - the two denominators that decide whether a member state clears its legal obligation. When a headline says a country hit or missed its packaging recycling target, the number being quoted comes from this cube. Get a sample of this dataset cut to your countries and materials, or start from the paper & plastic packaging products & materials hub.
What do sample rows look like?
Four observations exactly as they land - one per-capita generation figure, one absolute tonnage, one national figure, one recovery cell:
geo : EU27_2020
waste : W150102 (Plastic packaging)
wst_oper : GEN (Waste generated)
unit : KG_HAB
time : 2022
value : 36.24geo : EU27_2020
waste : W150102 (Plastic packaging)
wst_oper : GEN (Waste generated)
unit : T (Tonnes)
time : 2023
value : 15,830,350geo : DE
waste : W150102 (Plastic packaging)
wst_oper : GEN (Waste generated)
unit : KG_HAB
time : 2023
value : 37.51geo : FR
waste : W150102 (Plastic packaging)
wst_oper : RCV (Recovery)
unit : T
time : 2023
value : <recovery tonnage, reported alongside 12,196,427 t for the EU-27 aggregate>Read the four together and you have the whole analytical trick of this dataset in miniature: the same plastic-packaging stream expressed per person and in absolute tonnes, at aggregate-EU and single-country level, across generation and recovery operations - so per-capita intensity arguments and absolute-volume arguments come from one consistent cube instead of two reconciled spreadsheets. Every row carries its full dimension key (geo, waste, wst_oper, unit, time), which means pivots, joins and per-capita conversions are mechanical rather than forensic.
What fields does the field dictionary define?
Seven fields define the cube - six dimensions and one measured value. All seven are verified against the dataset's own dimension schema, so nothing below is inferred from column names.
Dimensions and value
freq- time frequency; a single category, annual.waste- the packaging material code: total packaging, paper and cardboard, plastic, wooden, metallic (with aluminium and steel splits plus incineration-bottom-ash variants for both metals), glass, and other packaging.wst_oper- the waste-management operation: generated, recovery (with energy recovery from packaging waste and other recovery as explicit siblings), recycling in total / in the Member State / in other Member States / outside the EU, and repair.unit- kilograms per capita, tonnes, rate against the 2008 target, rate against the 2025 target onwards, or plain percentage.geo- the reporting entity: the EU-27 aggregate, all 27 member states, plus Iceland, Liechtenstein, Norway and Northern Ireland.time- reference year, 1997 through 2023.value- the observed figure for that combination, in the selected unit.
Full definitions and examples for all seven sit in the dictionary table below. A handful of presentation-layer attributes - the label strings attached to each dimension code and the header metadata that timestamps the release - ride along with the payload rather than as standalone columns; they are folded into any delivery on request rather than promised blind here.
Where does coverage run, and at what grain?
Three chips summarize the footprint:
- Geography: EU-27 aggregate plus all 27 member states, with Iceland, Liechtenstein and Norway riding along under the EFTA agreement and Northern Ireland reported separately - 32 reporting entities on one consistent methodology.
- Time frame: annual reference years 1997 through 2023, a 27-year panel deep enough to span the original Packaging and Packaging Waste Directive targets and the run-up to the 2025 milestone.
- Granularity: one observation per country x year x material x operation x unit - the finest public grain at which EU packaging flows are officially comparable.
Set against the wider catalog - average quality score 7.81 across all 1,744 datasets Datadory catalogs - this slice scores 9/10, on official provenance, a six-dimension schema that survives pivots intact, and verified field definitions. Where it ranks in the industry: best paper & plastic packaging products & materials datasets.
How is this dataset delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Name the countries, materials and operations you want when you request the sample - the full EU-27 panel, or a slice cut to your footprint, say Germany's plastic-packaging generation series alone. The sample ships first either way; the ongoing feed lands on whatever cadence your models need, and the field dictionary above travels unchanged across every channel.
Who builds on this packaging waste data?
Ranked by how directly a 27-year, six-dimension packaging ledger answers their day job:
- Market researchers & consultants. The citable base layer for every European packaging-sustainability study: generation and recycling measured one way across 30-odd economies since 1997. The dual-denominator recycling rates let you write "country X met its 2008-definition target but misses the 2025 bar" with numbers behind it instead of advocacy-group estimates.
- ESG, regulatory-affairs & sustainability teams. PPWR exposure starts with knowing where your markets stand against the 2025 recycling targets. This is the official scoreboard - read your operating countries' trajectories before regulators read them to you. Deeper workflows on competitive intel product teams use cases.
- Investors & quants. Recycled-content mandates make packaging recycling rates a supply signal for rPET, recycled fibre and recycled aluminium. Country-year trajectories feed pricing models for recyclate and for virgin resin substitution. More on investors & quants use cases.
- Policy analysts & academics. A 27-year panel with explicit operation splits - including recycling exported to other Member States versus outside the EU - supports real methodological work on whether reported recycling reflects domestic reprocessing capacity or trade arithmetic.
- Circular-economy operators. Benchmark your collection and reprocessing footprint against official country baselines, and track which member states' streams are growing fast enough to justify capacity.
Which personas get the most value?
Market Researchers & Consultants get the citation-grade original - the dataset every EU packaging market study footnotes - with per-capita and absolute units in the same cube, so intensity charts and volume charts never disagree. Investors & Quants get 27 reference years of material-level supply signals feeding recycled-commodity theses, with the export-adjusted recycling splits separating genuine reprocessing from accounting. Competitive Intelligence, ESG & Regulatory Teams get the official PPWR scoreboard by country, updated as member states report, ready to drop into compliance dashboards. Journalists & Academics get the primary statistical record rather than someone else's chart of it - quotable, attributable, and stable enough to survive peer review.
Which notes pair with this dataset?
Notes that pair well with this page:
- Paper & Plastic Packaging Products & Materials hub - the pooled industry view, from EPA material-specific series to association guidance libraries.
- European Environment Agency - plastics topic data - the thematic companion: plastics-specific flows, waste-generation context and circular-economy indicators that sit above this dataset's packaging-only frame. The head-to-head lives at env_waspac vs EEA plastics topic data.
- APR plastics recycling data & reports - the North American counterpart: post-consumer recycling tonnage by resin from the Association of Plastic Recyclers, useful whenever a transatlantic comparison needs both sides measured.
- NAPCOR PET packaging recycling & market data - PET-specific US recycling rates and thermoform market analysis; the narrowest useful lens on the resin this dataset tracks as W150102.
- US EPA Containers & Packaging: Product-Specific Data - the American federal mirror: containers-and-packaging generation, recycling, combustion and landfilling back to 1960.
- Provenance note - published by Eurostat, the statistical office of the European Commission, as dataset
env_waspac(Packaging waste by waste management operation). Each response self-describes with a header timestamp, so any delivered slice carries its own vintage marker.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| Field | Type | Definition | Example |
|---|---|---|---|
freq | enum | Time frequency of the observation. The dataset is annual-only, so every record carries the same category. | A (annual) |
waste | enum | Packaging material category: W1501 total packaging; W150101 paper and cardboard packaging; W150102 plastic packaging; W150103 wooden packaging; W150104 metallic packaging, split into W15010401 aluminium and W15010402 steel, each also reported as recovered from incineration bottom ash (IBA variants); W150107 glass packaging; W150199 other packaging. | W150102 |
wst_oper | enum | Waste-management operation: GEN waste generated; RCV recovery; RCV_E_PAC energy recovery from packaging waste; RCV_OTH other recovery; RCY recycling; RCY_NAT recycling in the Member State; RCY_EU_FOR recycling in other Member States of the EU; RCY_NEU recycling outside the EU; RPR repair. | GEN |
unit | enum | Unit of measure: KG_HAB kilograms per capita; T tonnes; RT_T2008 recycling rate against the 2008 target definition; RT_TGT2025 recycling rate against the 2025-target-and-onwards definition; PC percentage. | KG_HAB |
geo | enum | Reporting entity: the EU27_2020 aggregate, all 27 EU member states, plus Iceland, Liechtenstein, Norway and Northern Ireland (UKN). | DE |
time | date | Reference year of the observation. | 2023 |
value | number | Observed value for the dimension combination in the selected unit; empty combinations are omitted rather than stored as nulls, keeping the delivered table dense. | 36.24 |
Coverage — geography, temporal range, granularity
| Dimension | Coverage |
|---|---|
| Geography | EU-27 aggregate and all 27 EU member states, plus Iceland, Liechtenstein, Norway and Northern Ireland - 32 reporting entities on a single methodology |
| Temporal | 1997-2023, annual reference years |
| Granularity | One observation per country x year x packaging material x waste-management operation x unit (~97,000 populated cells across the full cube) |
Sample rows — plastic packaging (W150102) as delivered
| geo | waste | wst_oper | unit | time | value |
|---|---|---|---|---|---|
| EU27_2020 | W150102 | GEN | KG_HAB | 2022 | 36.24 |
| EU27_2020 | W150102 | GEN | T | 2023 | 15830350 |
| DE | W150102 | GEN | KG_HAB | 2023 | 37.51 |
Questions buyers ask
What is the Eurostat Packaging waste by waste management operation (env_waspac) dataset?
The statistical office of the European Union's annual packaging account: tonnages and per-capita figures for packaging waste generated, recovered, recycled, energy-recovered, repaired and landfilled, split across ten packaging material categories including paper and cardboard packaging and plastic packaging. It runs 1997 to 2023 across the EU-27 aggregate, every member state, Iceland, Liechtenstein, Norway and Northern Ireland.
Which packaging materials does env_waspac break out?
Eleven material codes: total packaging; paper and cardboard; plastic; wooden; metallic, with aluminium and steel each split further into straight tonnage and incineration bottom ash variants; glass; and a residual 'other packaging' bucket. Paper/board and plastic carry their own series end to end, so a per-country plastic-packaging trajectory needs no estimation or crosswalk.
How does env_waspac measure recycling against PPWR targets?
Through dedicated rate units: one calculated against the 2008 Packaging and Packaging Waste Directive target definition and another against the 2025-and-onwards definition. The two denominators differ, so a country can clear one bar while missing the other in the same year - which is exactly why the pair exists as separate series rather than one blended percentage.
What is the difference between recycling, recovery and repair in this dataset?
Recovery is the broad operation family and includes energy recovery as its own explicit series alongside an 'other recovery' residual. Recycling is split three ways: total recycling, recycling inside the reporting Member State, and recycling in other Member States or outside the EU - the export-adjusted cut that shows where material actually got reprocessed. Repair is tracked as its own operation.
How far back does the packaging waste data go?
Reference years run 1997 through 2023 on an annual cadence. Depth varies gently by country: some member states join the series later than 1997, and the newest reference years fill in progressively. Confirm the exact first year for your target countries when you scope the sample - it is a filter away once the data is loaded.
Does env_waspac cover regions within countries?
No. The geographic dimension stops at country level plus the EU-27 aggregate and Northern Ireland as separately reported territories. There is no NUTS-region or municipal breakout in this dataset; sub-national packaging waste requires a different source, and several national statistics offices publish one.
See the rows before you pay anything.
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