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electricsheepasia/asia-owid-population-young-working-elderly-with-projections

Population Young Working Elderly With Projections | Asia (Our World in Data) 🌏 7,399 observations · 49 Asia countries · 1950–2100 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 7,399 observations of Population Young Working Elderly With Projections data across 49 Asia countries, spanning 1950–2100. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Population Young Working Elderly… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-population-young-working-elderly-with-projections.

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Dataset Card

Population Young Working Elderly With Projections | Asia (Our World in Data)

🌏 7,399 observations · 49 Asia countries · 1950–2100 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 7,399 observations of Population Young Working Elderly With Projections data across 49 Asia countries, spanning 1950–2100.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Population Young Working Elderly With Projections

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	151	1950	2100
`ARE`	151	1950	2100
`ARM`	151	1950	2100
`AZE`	151	1950	2100
`BGD`	151	1950	2100
`BHR`	151	1950	2100
`BRN`	151	1950	2100
`BTN`	151	1950	2100
`CHN`	151	1950	2100
`CYP`	151	1950	2100
`GEO`	151	1950	2100
`IDN`	151	1950	2100
`IND`	151	1950	2100
`IRN`	151	1950	2100
`IRQ`	151	1950	2100
...	34 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1950`
`Older people (65+ years)`	`float64`	—	`221587.0`
`Older people (65+ years) (Projected)`	`float64`	—	`1023936.0`
`Working-age adults (15-64 years)`	`float64`	—	`4362913.0`
`Working-age adults (15-64 years) (Projected)`	`float64`	—	`23333099.0`
`Children (Under-15s)`	`float64`	—	`3191680.0`
`Children (under-15s) (Projected)`	`float64`	—	`18290444.0`

Data quality & caveats

—Older people (65+ years) column has 51.0% null values (filtered to non-null in this dataset).

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-population-young-working-elderly-with-projections")
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="Older people (65+ years)")

Citation

bibtex

@misc{asia_owid_population_young_working_elderly_with_projections_2100,
  title        = {Population Young Working Elderly With Projections | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2100},
  url          = {https://ourworldindata.org/grapher/population-young-working-elderly-with-projections},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-population-young-working-elderly-with-projections}}
}

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/population-young-working-elderly-with-projections