CoolFace
Datasetpublic

electricsheepasia/asia-owid-average-effective-retirement-men

Average Effective Retirement Men | Asia (Our World in Data) šŸŒ 322 observations Ā· 9 Asia countries Ā· 1970–2018 Ā· Repackaged by Electric Sheep Asia TL;DR This dataset contains 322 observations of Average Effective Retirement Men data across 9 Asia countries, spanning 1970–2018. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Average Effective Retirement Men Geographic coverage 9… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-average-effective-retirement-men.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes6downloads
Dataset Card

Average Effective Retirement Men | Asia (Our World in Data)

šŸŒ 322 observations Ā· 9 Asia countries Ā· 1970–2018 Ā· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 322 observations of Average Effective Retirement Men data across 9 Asia countries, spanning 1970–2018.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Average Effective Retirement Men

Geographic coverage

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

CountryRowsFirst yearLast year
KOR4919702018
JPN4919702018
TUR4919702018
CYP3819812018
IDN3219872018
IND3119882018
ISR2919902018
CHN2419872010
SAU2119972017

Schema

ColumnTypeDescriptionExample
country_namestring—China
country_iso3string—CHN
yearint64—1987
Average effective age of retirement, men (OECD)float64—66.7

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-average-effective-retirement-men")
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="Average effective age of retirement, men (OECD)")

Citation

bibtex
@misc{asia_owid_average_effective_retirement_men_2018,
  title        = {Average Effective Retirement Men | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2018},
  url          = {https://ourworldindata.org/grapher/average-effective-retirement-men},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-average-effective-retirement-men}}
}

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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/average-effective-retirement-men