country_name stringclasses 36
values | country_iso3 stringclasses 36
values | year int64 1.79k 2.02k | GDP float64 -32.12 54.2 ⌀ | COâ emissions float64 -100 12.7k ⌀ |
|---|---|---|---|---|
Albania | ALB | 1,934 | null | 0 |
Albania | ALB | 1,935 | null | 150 |
Albania | ALB | 1,936 | null | 599.8362 |
Albania | ALB | 1,937 | null | 131.43674 |
Albania | ALB | 1,938 | null | 17.30727 |
Albania | ALB | 1,939 | null | 24.210526 |
Albania | ALB | 1,940 | null | 60.169495 |
Albania | ALB | 1,941 | null | -9.532327 |
Albania | ALB | 1,942 | null | 18.724632 |
Albania | ALB | 1,943 | null | -37.931038 |
Albania | ALB | 1,944 | null | -66.666664 |
Albania | ALB | 1,945 | null | -21.428574 |
Albania | ALB | 1,946 | null | 300 |
Albania | ALB | 1,947 | null | 91.666664 |
Albania | ALB | 1,948 | null | -24.110676 |
Albania | ALB | 1,949 | null | 44.270836 |
Albania | ALB | 1,950 | null | -70.76393 |
Albania | ALB | 1,951 | null | 35.80959 |
Albania | ALB | 1,952 | null | -7.273793 |
Albania | ALB | 1,953 | null | 10.78602 |
Albania | ALB | 1,954 | null | 21.241974 |
Albania | ALB | 1,955 | null | 32.09685 |
Albania | ALB | 1,956 | null | 26.513027 |
Albania | ALB | 1,957 | null | 79.4977 |
Albania | ALB | 1,958 | null | -20.200623 |
Albania | ALB | 1,959 | null | 20.12992 |
Albania | ALB | 1,960 | null | 40.10979 |
Albania | ALB | 1,961 | null | 12.674212 |
Albania | ALB | 1,962 | null | 8.040261 |
Albania | ALB | 1,963 | null | -15.481615 |
Albania | ALB | 1,964 | null | -3.168392 |
Albania | ALB | 1,965 | null | 7.815778 |
Albania | ALB | 1,966 | null | 17.375338 |
Albania | ALB | 1,967 | null | 5.017066 |
Albania | ALB | 1,968 | null | 14.630138 |
Albania | ALB | 1,969 | null | 5.606937 |
Albania | ALB | 1,970 | null | 15.369833 |
Albania | ALB | 1,971 | null | 16.273285 |
Albania | ALB | 1,972 | null | 29.667604 |
Albania | ALB | 1,973 | null | -6.235766 |
Albania | ALB | 1,974 | null | -17.874033 |
Albania | ALB | 1,975 | null | 5.750537 |
Albania | ALB | 1,976 | null | 7.754576 |
Albania | ALB | 1,977 | null | 15.567303 |
Albania | ALB | 1,978 | null | 13.536048 |
Albania | ALB | 1,979 | null | 16.833841 |
Albania | ALB | 1,980 | null | -31.818872 |
Albania | ALB | 1,981 | 5.745636 | 42.0097 |
Albania | ALB | 1,982 | 2.948597 | -0.483215 |
Albania | ALB | 1,983 | 1.104938 | 4.42282 |
Albania | ALB | 1,984 | -1.251597 | 2.556658 |
Albania | ALB | 1,985 | 1.780644 | 0.710928 |
Albania | ALB | 1,986 | 5.637243 | 2.239883 |
Albania | ALB | 1,987 | -0.787843 | -7.579785 |
Albania | ALB | 1,988 | -1.42004 | -1.585406 |
Albania | ALB | 1,989 | 9.836549 | 22.60741 |
Albania | ALB | 1,990 | -9.57564 | -38.565563 |
Albania | ALB | 1,991 | -28.002142 | -22.286987 |
Albania | ALB | 1,992 | -7.187111 | -41.329056 |
Albania | ALB | 1,993 | 9.559412 | -7.11596 |
Albania | ALB | 1,994 | 8.302867 | -17.715704 |
Albania | ALB | 1,995 | 13.322333 | 8.590221 |
Albania | ALB | 1,996 | 7.336329 | -3.425318 |
Albania | ALB | 1,997 | -11.711574 | -23.519062 |
Albania | ALB | 1,998 | 8.310025 | 13.71994 |
Albania | ALB | 1,999 | 12.250729 | 70.18183 |
Albania | ALB | 2,000 | 7.462859 | 1.296973 |
Albania | ALB | 2,001 | 8.86373 | 6.470573 |
Albania | ALB | 2,002 | 4.628396 | 16.382254 |
Albania | ALB | 2,003 | 5.333264 | 14.812875 |
Albania | ALB | 2,004 | 5.266262 | -2.946788 |
Albania | ALB | 2,005 | 5.130822 | 2.02862 |
Albania | ALB | 2,006 | 6.018982 | -8.229619 |
Albania | ALB | 2,007 | 6.500093 | 2.375054 |
Albania | ALB | 2,008 | 6.907063 | 11.108565 |
Albania | ALB | 2,009 | 2.690752 | -1.763064 |
Albania | ALB | 2,010 | 2.973155 | 10.227418 |
Albania | ALB | 2,011 | 2.463517 | 7.444775 |
Albania | ALB | 2,012 | 0.98413 | -4.742354 |
Albania | ALB | 2,013 | 1.707228 | 8.439803 |
Albania | ALB | 2,014 | 2.240227 | 13.587499 |
Albania | ALB | 2,015 | 2.227704 | -22.401768 |
Albania | ALB | 2,016 | 3.908936 | -3.334129 |
Albania | ALB | 2,017 | 3.283176 | 17.316162 |
Albania | ALB | 2,018 | 3.671419 | -2.787012 |
Albania | ALB | 2,019 | 2.062578 | -4.895842 |
Albania | ALB | 2,020 | -3.313757 | -1.528078 |
Albania | ALB | 2,021 | 8.969576 | 5.590463 |
Albania | ALB | 2,022 | 4.826801 | -12.433863 |
Albania | ALB | 2,023 | 4.015417 | -1.799554 |
Albania | ALB | 2,024 | 4.045929 | 0.613833 |
Andorra | AND | 1,971 | 4.649466 | null |
Andorra | AND | 1,972 | 8.149743 | null |
Andorra | AND | 1,973 | 7.788467 | null |
Andorra | AND | 1,974 | 5.61879 | null |
Andorra | AND | 1,975 | 0.542206 | null |
Andorra | AND | 1,976 | 3.303787 | null |
Andorra | AND | 1,977 | 2.838576 | null |
Andorra | AND | 1,978 | 1.463 | null |
Andorra | AND | 1,979 | 0.041557 | null |
Co2 Gdp Growth | Europe (Our World in Data)
🇪🇺 6,456 observations · 43 Europe countries · 1751–2024 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 6,456 observations of Co2 Gdp Growth data across 43 Europe countries, spanning 1751–2024.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Co2 Gdp Growth
Geographic coverage
43 Europe countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
GBR |
274 | 1751 | 2024 |
DEU |
232 | 1793 | 2024 |
POL |
224 | 1801 | 2024 |
FRA |
214 | 1811 | 2024 |
AUT |
205 | 1820 | 2024 |
ESP |
194 | 1831 | 2024 |
BEL |
194 | 1831 | 2024 |
NOR |
192 | 1830 | 2024 |
HUN |
190 | 1831 | 2024 |
SWE |
185 | 1840 | 2024 |
DNK |
181 | 1844 | 2024 |
NLD |
178 | 1847 | 2024 |
EST |
169 | 1831 | 2024 |
UKR |
169 | 1831 | 2024 |
MDA |
169 | 1831 | 2024 |
| ... | 28 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Albania |
country_iso3 |
string |
— | ALB |
year |
int64 |
— | 1934 |
GDP |
float64 |
— | 5.7456355 |
COâ emissions |
float64 |
— | 0.0 |
Data quality & caveats
GDPcolumn has 67.5% null values (filtered to non-null in this dataset).
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-owid-co2-gdp-growth")
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="GDP")
Citation
@misc{europe_owid_co2_gdp_growth_2024,
title = {Co2 Gdp Growth | Europe (Our World in Data)},
author = {Our World in Data},
year = {2024},
url = {https://ourworldindata.org/grapher/co2-gdp-growth},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-co2-gdp-growth}}
}
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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/co2-gdp-growth
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