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electricsheepasia/asia-owid-population-young-working-old

Population Young Working Old | Asia (Our World in Data) 🌏 3,626 observations Β· 49 Asia countries Β· 1950–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,626 observations of Population Young Working Old data across 49 Asia countries, spanning 1950–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Population Young Working Old Geographic coverage 49 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-population-young-working-old.

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Dataset Card

Population Young Working Old | Asia (Our World in Data)

🌏 3,626 observations Β· 49 Asia countries Β· 1950–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 3,626 observations of Population Young Working Old data across 49 Asia countries, spanning 1950–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Population Young Working Old

Geographic coverage

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

CountryRowsFirst yearLast year
AFG7419502023
ARE7419502023
ARM7419502023
AZE7419502023
BGD7419502023
BHR7419502023
BRN7419502023
BTN7419502023
CHN7419502023
CYP7419502023
GEO7419502023
IDN7419502023
IND7419502023
IRN7419502023
IRQ7419502023
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1950
Children (Under-15s)int64β€”3191680
Working-age adults (15-64 years)int64β€”4362913
Older people (65+ years)int64β€”221587

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-population-young-working-old")
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="Children (Under-15s)")

Citation

bibtex
@misc{asia_owid_population_young_working_old_2023,
  title        = {Population Young Working Old | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/population-young-working-old},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-population-young-working-old}}
}

License

Released under cc-by-4.0.

Original data Β© 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/population-young-working-old