country_name stringclasses 42
values | country_iso3 stringclasses 42
values | year int64 1.83k 2.02k | GDP float64 -64.05 82.8 ⌀ | COâ emissions float64 -100 14.1k ⌀ |
|---|---|---|---|---|
Afghanistan | AFG | 1,950 | null | 475 |
Afghanistan | AFG | 1,951 | null | 8.69565 |
Afghanistan | AFG | 1,952 | null | 0 |
Afghanistan | AFG | 1,953 | null | 15.999996 |
Afghanistan | AFG | 1,954 | null | 0 |
Afghanistan | AFG | 1,955 | null | 44.82758 |
Afghanistan | AFG | 1,956 | null | 19.047619 |
Afghanistan | AFG | 1,957 | null | 60.000004 |
Afghanistan | AFG | 1,958 | null | 12.5 |
Afghanistan | AFG | 1,959 | null | 16.621483 |
Afghanistan | AFG | 1,960 | null | 7.622516 |
Afghanistan | AFG | 1,961 | null | 18.58318 |
Afghanistan | AFG | 1,962 | null | 40.300896 |
Afghanistan | AFG | 1,963 | null | 2.634645 |
Afghanistan | AFG | 1,964 | null | 18.651236 |
Afghanistan | AFG | 1,965 | null | 20.078205 |
Afghanistan | AFG | 1,966 | null | 8.366335 |
Afghanistan | AFG | 1,967 | null | 17.47738 |
Afghanistan | AFG | 1,968 | null | -4.561633 |
Afghanistan | AFG | 1,969 | null | -23.063683 |
Afghanistan | AFG | 1,970 | null | 77.46921 |
Afghanistan | AFG | 1,971 | null | 13.359523 |
Afghanistan | AFG | 1,972 | null | -19.181234 |
Afghanistan | AFG | 1,973 | null | 6.868184 |
Afghanistan | AFG | 1,974 | null | 16.979874 |
Afghanistan | AFG | 1,975 | null | 10.88419 |
Afghanistan | AFG | 1,976 | null | -6.624168 |
Afghanistan | AFG | 1,977 | null | 20.36066 |
Afghanistan | AFG | 1,978 | null | -9.683645 |
Afghanistan | AFG | 1,979 | null | 3.689873 |
Afghanistan | AFG | 1,980 | null | -21.339209 |
Afghanistan | AFG | 1,981 | null | 12.649357 |
Afghanistan | AFG | 1,982 | null | 5.869091 |
Afghanistan | AFG | 1,983 | null | 20.308268 |
Afghanistan | AFG | 1,984 | null | 11.967921 |
Afghanistan | AFG | 1,985 | null | 24.09613 |
Afghanistan | AFG | 1,986 | null | -10.50365 |
Afghanistan | AFG | 1,987 | null | -0.632459 |
Afghanistan | AFG | 1,988 | null | -8.251262 |
Afghanistan | AFG | 1,989 | null | -3.221715 |
Afghanistan | AFG | 1,990 | null | -26.783646 |
Afghanistan | AFG | 1,991 | null | -5.435151 |
Afghanistan | AFG | 1,992 | null | -22.579884 |
Afghanistan | AFG | 1,993 | null | 0.329876 |
Afghanistan | AFG | 1,994 | null | -2.226985 |
Afghanistan | AFG | 1,995 | null | -2.51075 |
Afghanistan | AFG | 1,996 | null | -3.331834 |
Afghanistan | AFG | 1,997 | null | -4.813647 |
Afghanistan | AFG | 1,998 | null | -1.966643 |
Afghanistan | AFG | 1,999 | null | -14.615833 |
Afghanistan | AFG | 2,000 | null | -4.077542 |
Afghanistan | AFG | 2,001 | -9.431974 | 2.098131 |
Afghanistan | AFG | 2,002 | 28.6 | 25.438917 |
Afghanistan | AFG | 2,003 | 8.832278 | 16.301525 |
Afghanistan | AFG | 2,004 | 1.414118 | -20.672972 |
Afghanistan | AFG | 2,005 | 11.229714 | 52.71865 |
Afghanistan | AFG | 2,006 | 5.357403 | 14.279437 |
Afghanistan | AFG | 2,007 | 13.82632 | 29.666351 |
Afghanistan | AFG | 2,008 | 3.924984 | 51.951015 |
Afghanistan | AFG | 2,009 | 21.390528 | 50.152706 |
Afghanistan | AFG | 2,010 | 14.362441 | 30.940819 |
Afghanistan | AFG | 2,011 | 0.426355 | 36.400368 |
Afghanistan | AFG | 2,012 | 12.752287 | -14.710575 |
Afghanistan | AFG | 2,013 | 5.600745 | -8.629507 |
Afghanistan | AFG | 2,014 | 2.724543 | -2.179384 |
Afghanistan | AFG | 2,015 | 1.451315 | 7.895589 |
Afghanistan | AFG | 2,016 | 2.260314 | -8.29534 |
Afghanistan | AFG | 2,017 | 2.647003 | 8.193445 |
Afghanistan | AFG | 2,018 | 1.189228 | 9.455967 |
Afghanistan | AFG | 2,019 | 3.911604 | 2.046859 |
Afghanistan | AFG | 2,020 | -2.351101 | 6.908739 |
Afghanistan | AFG | 2,021 | -20.73884 | -11.240464 |
Afghanistan | AFG | 2,022 | -6.240172 | 3.050494 |
Afghanistan | AFG | 2,023 | 2.266944 | 3.406429 |
Afghanistan | AFG | 2,024 | null | 2.944744 |
Armenia | ARM | 1,831 | null | 19.5122 |
Armenia | ARM | 1,832 | null | -34.69388 |
Armenia | ARM | 1,833 | null | 28.125 |
Armenia | ARM | 1,859 | null | 5.981314 |
Armenia | ARM | 1,860 | null | 32.18695 |
Armenia | ARM | 1,861 | null | 27.018011 |
Armenia | ARM | 1,862 | null | -9.768909 |
Armenia | ARM | 1,863 | null | 4.714787 |
Armenia | ARM | 1,864 | null | 12.173426 |
Armenia | ARM | 1,865 | null | -4.410309 |
Armenia | ARM | 1,866 | null | 215.915 |
Armenia | ARM | 1,867 | null | 14.752221 |
Armenia | ARM | 1,868 | null | -16.802519 |
Armenia | ARM | 1,869 | null | 35.665176 |
Armenia | ARM | 1,870 | null | 8.513868 |
Armenia | ARM | 1,871 | null | 35.002922 |
Armenia | ARM | 1,872 | null | 2.663672 |
Armenia | ARM | 1,873 | null | -6.141019 |
Armenia | ARM | 1,874 | null | 21.378565 |
Armenia | ARM | 1,875 | null | 15.106476 |
Armenia | ARM | 1,876 | null | 24.147236 |
Armenia | ARM | 1,877 | null | 2.0594 |
Armenia | ARM | 1,878 | null | 30.6885 |
Armenia | ARM | 1,879 | null | 2.606976 |
Armenia | ARM | 1,880 | null | 17.312563 |
Co2 Gdp Growth | Asia (Our World in Data)
🌏 5,086 observations · 49 Asia countries · 1831–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 5,086 observations of Co2 Gdp Growth data across 49 Asia countries, spanning 1831–2024.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Co2 Gdp Growth
Geographic coverage
49 Asia countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
ARM |
169 | 1831 | 2024 |
GEO |
169 | 1831 | 2024 |
AZE |
169 | 1831 | 2024 |
KGZ |
169 | 1831 | 2024 |
TJK |
169 | 1831 | 2024 |
TKM |
169 | 1831 | 2024 |
UZB |
169 | 1831 | 2024 |
KAZ |
169 | 1831 | 2024 |
TUR |
159 | 1866 | 2024 |
JPN |
156 | 1869 | 2024 |
IND |
154 | 1859 | 2024 |
IDN |
135 | 1890 | 2024 |
MYS |
132 | 1891 | 2024 |
VNM |
132 | 1893 | 2024 |
TWN |
128 | 1897 | 2024 |
| ... | 34 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Afghanistan |
country_iso3 |
string |
— | AFG |
year |
int64 |
— | 1950 |
GDP |
float64 |
— | -9.431974 |
COâ emissions |
float64 |
— | 475.0 |
Data quality & caveats
GDPcolumn has 51.8% null values (filtered to non-null in this dataset).
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-owid-co2-gdp-growth")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]
Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="GDP")
Citation
@misc{asia_owid_co2_gdp_growth_2024,
title = {Co2 Gdp Growth | Asia (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 Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 Asia repackaging.
About Electric Sheep
Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia
Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/co2-gdp-growth
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