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electricsheepasia/asia-owid-religiosity-vs-religion-importance

Religiosity Vs Religion Importance | Asia (Our World in Data) 🌏 185 observations · 49 Asia countries · 1993–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 185 observations of Religiosity Vs Religion Importance data across 49 Asia countries, spanning 1993–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Religiosity Vs Religion Importance Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-religiosity-vs-religion-importance.

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Dataset Card

Religiosity Vs Religion Importance | Asia (Our World in Data)

🌏 185 observations · 49 Asia countries · 1993–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 185 observations of Religiosity Vs Religion Importance data across 49 Asia countries, spanning 1993–2022.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Religiosity Vs Religion Importance

Geographic coverage

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

Country	Rows	First year	Last year
`CHN`	7	1993	2022
`IND`	7	1993	2022
`TUR`	7	1993	2022
`KOR`	7	1993	2022
`JPN`	7	1993	2022
`PAK`	6	1998	2022
`PHL`	6	1998	2022
`BGD`	5	1998	2022
`IRQ`	5	2004	2022
`KGZ`	5	2004	2022
`SGP`	5	2004	2022
`TWN`	5	1998	2022
`ARM`	5	1998	2022
`GEO`	5	1998	2022
`JOR`	5	2004	2022
...	34 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`2010`
`Share who say religion is "very important"`	`float64`	—	`25.0`
`Share of people who are religious`	`float64`	—	`99.99135`
`World region according to OWID`	`string`	—	`Asia`
`Share who say religion is "very important" (Annotations)`	`string`	—	`—`

Data quality & caveats

—Share who say religion is "very important" column has 44.3% null values (filtered to non-null in this dataset).

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-religiosity-vs-religion-importance")
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="Share who say religion is "very important"")

Citation

bibtex

@misc{asia_owid_religiosity_vs_religion_importance_2022,
  title        = {Religiosity Vs Religion Importance | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/religiosity-vs-religion-importance},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-religiosity-vs-religion-importance}}
}

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/religiosity-vs-religion-importance