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country_name
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country_iso3
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year
int64
2.02k
2.02k
Mismanaged plastic waste per capita
float64
0.03
24.2
Albania
ALB
2,019
24.239153
Belgium
BEL
2,019
0.197937
Bosnia and Herzegovina
BIH
2,019
16.828537
Bulgaria
BGR
2,019
0.445286
Croatia
HRV
2,019
4.247942
Denmark
DNK
2,019
0.067568
Estonia
EST
2,019
0.452489
Finland
FIN
2,019
0.473789
France
FRA
2,019
0.426532
Germany
DEU
2,019
0.606775
Greece
GRC
2,019
0.430249
Iceland
ISL
2,019
0.445428
Ireland
IRL
2,019
0.547931
Italy
ITA
2,019
0.640842
Latvia
LVA
2,019
0.500787
Lithuania
LTU
2,019
0.375725
Malta
MLT
2,019
0.588636
Monaco
MCO
2,019
0.128205
Montenegro
MNE
2,019
0.025478
Netherlands
NLD
2,019
0.890975
Norway
NOR
2,019
0.277747
Poland
POL
2,019
0.372783
Portugal
PRT
2,019
0.373362
Romania
ROU
2,019
2.693571

Mismanaged Plastic Waste Per Capita | Europe (Our World in Data)

🇪🇺 31 observations · 31 Europe countries · 2019–2019 · Repackaged by Electric Sheep Europe

rows countries years license

TL;DR

This dataset contains 31 observations of Mismanaged Plastic Waste Per Capita data across 31 Europe countries, spanning 2019–2019.

About the source

Geographic coverage

31 Europe countries · top rows shown below, sorted by row count:

Country Rows First year Last year
ALB 1 2019 2019
BEL 1 2019 2019
BGR 1 2019 2019
BIH 1 2019 2019
DEU 1 2019 2019
DNK 1 2019 2019
ESP 1 2019 2019
EST 1 2019 2019
FIN 1 2019 2019
FRA 1 2019 2019
GBR 1 2019 2019
GRC 1 2019 2019
HRV 1 2019 2019
IRL 1 2019 2019
ISL 1 2019 2019
... 16 more countries

Schema

Column Type Description Example
country_name string — Albania
country_iso3 string — ALB
year int64 — 2019
Mismanaged plastic waste per capita float64 — 24.239153

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-mismanaged-plastic-waste-per-capita")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Mismanaged plastic waste per capita")

Citation

@misc{europe_owid_mismanaged_plastic_waste_per_capita_2019,
  title        = {Mismanaged Plastic Waste Per Capita | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2019},
  url          = {https://ourworldindata.org/grapher/mismanaged-plastic-waste-per-capita},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-mismanaged-plastic-waste-per-capita}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope


Provenance: ingested 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/mismanaged-plastic-waste-per-capita

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