electricsheepasia/asia-owid-hci-males-vs-females

Hci Males Vs Females | Asia (Our World in Data)

🌏 127 observations · 40 Asia countries · 2010–2020 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 127 observations of Hci Males Vs Females data across 40 Asia countries, spanning 2010–2020.

About the source

• —Source: Our World in Data
• —Publisher: Our World in Data
• —License: cc-by-4.0
• —Topic: Hci Males Vs Females

Geographic coverage

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

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-hci-males-vs-females")
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="HCI in males")

Citation

@misc{asia_owid_hci_males_vs_females_2020,
  title        = {Hci Males Vs Females | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/hci-males-vs-females},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-hci-males-vs-females}}
}

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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/hci-males-vs-females