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country_name
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31 values
country_iso3
stringclasses
31 values
year
int64
1.98k
2.02k
Age-standardized deaths from liver cancer in both sexes in those aged all ages per 100,000 people
float64
0
10.8
Austria
AUT
1,980
2.164098
Austria
AUT
1,981
2.449287
Austria
AUT
1,982
2.299004
Austria
AUT
1,983
2.585672
Austria
AUT
1,984
2.675425
Austria
AUT
1,985
2.644888
Austria
AUT
1,986
2.703884
Austria
AUT
1,987
2.578487
Austria
AUT
1,988
1.766136
Austria
AUT
1,989
1.599899
Austria
AUT
1,990
2.134107
Austria
AUT
1,991
2.541111
Austria
AUT
1,992
2.129299
Austria
AUT
1,993
2.416814
Austria
AUT
1,994
2.305049
Austria
AUT
1,995
2.358639
Austria
AUT
1,996
2.625796
Austria
AUT
1,997
2.939746
Austria
AUT
1,998
2.76592
Austria
AUT
1,999
2.838728
Austria
AUT
2,000
2.661093
Austria
AUT
2,001
2.73367
Austria
AUT
2,002
4.978633
Austria
AUT
2,003
5.432935
Austria
AUT
2,004
5.274087
Austria
AUT
2,005
5.283724
Austria
AUT
2,006
5.465729
Austria
AUT
2,007
5.014217
Austria
AUT
2,008
4.977257
Austria
AUT
2,009
5.170424
Austria
AUT
2,010
5.253055
Austria
AUT
2,011
4.814462
Austria
AUT
2,012
5.280338
Austria
AUT
2,013
5.212974
Austria
AUT
2,014
5.058326
Austria
AUT
2,015
5.198907
Austria
AUT
2,016
4.43883
Austria
AUT
2,017
5.022251
Austria
AUT
2,018
4.542433
Austria
AUT
2,019
4.565446
Austria
AUT
2,020
4.330129
Austria
AUT
2,021
4.206045
Austria
AUT
2,022
4.215719
Austria
AUT
2,023
3.87586
Belarus
BLR
2,002
2.560311
Belarus
BLR
2,003
2.314787
Belarus
BLR
2,007
2.360471
Belarus
BLR
2,008
2.568714
Belarus
BLR
2,009
2.690364
Belarus
BLR
2,010
2.597913
Belarus
BLR
2,011
2.503952
Belarus
BLR
2,013
2.31193
Belarus
BLR
2,014
2.168777
Belarus
BLR
2,018
2.867812
Belgium
BEL
1,979
1.739987
Belgium
BEL
1,980
3.308985
Belgium
BEL
1,981
2.904232
Belgium
BEL
1,982
2.6927
Belgium
BEL
1,983
2.966883
Belgium
BEL
1,984
1.581042
Belgium
BEL
1,985
1.565874
Belgium
BEL
1,986
1.694866
Belgium
BEL
1,987
1.454838
Belgium
BEL
1,988
1.45884
Belgium
BEL
1,989
1.780112
Belgium
BEL
1,990
1.983949
Belgium
BEL
1,991
1.850135
Belgium
BEL
1,992
1.900123
Belgium
BEL
1,993
2.038171
Belgium
BEL
1,994
2.006153
Belgium
BEL
1,995
2.268082
Belgium
BEL
1,997
2.482158
Belgium
BEL
1,998
3.393341
Belgium
BEL
1,999
3.313963
Belgium
BEL
2,000
3.471123
Belgium
BEL
2,001
3.273838
Belgium
BEL
2,002
3.325893
Belgium
BEL
2,003
3.351759
Belgium
BEL
2,004
3.424675
Belgium
BEL
2,005
3.480288
Belgium
BEL
2,006
3.416204
Belgium
BEL
2,007
3.477134
Belgium
BEL
2,008
3.71889
Belgium
BEL
2,009
3.641834
Belgium
BEL
2,010
3.834379
Belgium
BEL
2,011
3.955766
Belgium
BEL
2,012
3.891947
Belgium
BEL
2,013
3.990601
Belgium
BEL
2,014
3.862854
Belgium
BEL
2,015
4.084807
Belgium
BEL
2,016
3.780006
Belgium
BEL
2,017
3.93139
Belgium
BEL
2,018
3.876966
Belgium
BEL
2,019
4.03201
Belgium
BEL
2,020
3.857497
Belgium
BEL
2,021
4.201468
Bosnia and Herzegovina
BIH
2,011
7.148866
Bosnia and Herzegovina
BIH
2,014
5.878152
Bosnia and Herzegovina
BIH
2,016
7.167403
Bosnia and Herzegovina
BIH
2,017
7.359208
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Liver Cancer Death Rate | Europe (Our World in Data)

🇪🇺 1,245 observations · 38 Europe countries · 1979–2023 · Repackaged by Electric Sheep Europe

rows countries years license

TL;DR

This dataset contains 1,245 observations of Liver Cancer Death Rate data across 38 Europe countries, spanning 1979–2023.

About the source

Geographic coverage

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

Country Rows First year Last year
NLD 45 1979 2023
HUN 45 1979 2023
ESP 44 1980 2023
GRC 44 1979 2022
AUT 44 1980 2023
ITA 44 1979 2022
MLT 44 1979 2022
IRL 44 1979 2022
FRA 44 1979 2022
GBR 43 1979 2021
BEL 42 1979 2021
ROU 42 1980 2022
ISL 42 1981 2022
POL 41 1980 2022
SVN 39 1985 2023
... 23 more countries

Schema

Column Type Description Example
country_name string Austria
country_iso3 string AUT
year int64 1980
Age-standardized deaths from liver cancer in both sexes in those aged all ages per 100,000 people float64 2.1640983

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-liver-cancer-death-rate")
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="Age-standardized deaths from liver cancer in both sexes in those aged all ages per 100,000 people")

Citation

@misc{europe_owid_liver_cancer_death_rate_2023,
  title        = {Liver Cancer Death Rate | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/liver-cancer-death-rate},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-liver-cancer-death-rate}}
}

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/liver-cancer-death-rate

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