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electricsheepasia/asia-owid-primary-energy-consumption-from-solar-and-wind

Primary Energy Consumption From Solar And Wind | Asia (Our World in Data) 🌏 2,019 observations · 34 Asia countries · 1965–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,019 observations of Primary Energy Consumption From Solar And Wind data across 34 Asia countries, spanning 1965–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Primary Energy Consumption From Solar… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-primary-energy-consumption-from-solar-and-wind.

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Dataset Card

Primary Energy Consumption From Solar And Wind | Asia (Our World in Data)

🌏 2,019 observations · 34 Asia countries · 1965–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,019 observations of Primary Energy Consumption From Solar And Wind data across 34 Asia countries, spanning 1965–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Primary Energy Consumption From Solar And Wind

Geographic coverage

34 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ARE6019652024
AZE6019652024
BGD6019652024
BHR6019652024
BRN6019652024
CHN6019652024
CYP6019652024
IDN6019652024
IND6019652024
IRN6019652024
IRQ6019652024
ISR6019652024
JPN6019652024
KAZ6019652024
KOR6019652024
...19 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Azerbaijan
country_iso3string—AZE
yearint64—1965
Solar and windfloat64—0.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-primary-energy-consumption-from-solar-and-wind")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Solar and wind")

Citation

bibtex
@misc{asia_owid_primary_energy_consumption_from_solar_and_wind_2024,
  title        = {Primary Energy Consumption From Solar And Wind | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/primary-energy-consumption-from-solar-and-wind},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-primary-energy-consumption-from-solar-and-wind}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/primary-energy-consumption-from-solar-and-wind