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electricsheepasia/asia-owid-power-outages-in-firms-per-month

Power Outages In Firms Per Month | Asia (Our World in Data) šŸŒ 79 observations Ā· 34 Asia countries Ā· 2006–2022 Ā· Repackaged by Electric Sheep Asia TL;DR This dataset contains 79 observations of Power Outages In Firms Per Month data across 34 Asia countries, spanning 2006–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Power Outages In Firms Per Month Geographic coverage 34… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-power-outages-in-firms-per-month.

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Dataset Card

Power Outages In Firms Per Month | Asia (Our World in Data)

šŸŒ 79 observations Ā· 34 Asia countries Ā· 2006–2022 Ā· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 79 observations of Power Outages In Firms Per Month data across 34 Asia countries, spanning 2006–2022.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Power Outages In Firms Per Month

Geographic coverage

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

CountryRowsFirst yearLast year
LAO420092018
ARM320092020
TLS320092021
AZE320092019
GEO320082019
BGD320072022
JOR320062019
KGZ320092019
KAZ320092019
MNG320092019
PAK320072022
TJK320082019
UZB320082019
TUR320082019
PSE320062019
...19 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2008
Power outages in firms in a typical month (number)float64—15.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-power-outages-in-firms-per-month")
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="Power outages in firms in a typical month (number)")

Citation

bibtex
@misc{asia_owid_power_outages_in_firms_per_month_2022,
  title        = {Power Outages In Firms Per Month | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/power-outages-in-firms-per-month},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-power-outages-in-firms-per-month}}
}

License

Released under cc-by-4.0.

Original data Ā© 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/power-outages-in-firms-per-month