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electricsheepasia/asia-owid-police-officers-per-1000-people

Police Officers Per 1000 People | Asia (Our World in Data) 🌏 339 observations · 33 Asia countries · 1973–2015 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 339 observations of Police Officers Per 1000 People data across 33 Asia countries, spanning 1973–2015. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Police Officers Per 1000 People Geographic coverage 33… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-police-officers-per-1000-people.

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Dataset Card

Police Officers Per 1000 People | Asia (Our World in Data)

🌏 339 observations · 33 Asia countries · 1973–2015 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 339 observations of Police Officers Per 1000 People data across 33 Asia countries, spanning 1973–2015.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Police Officers Per 1000 People

Geographic coverage

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

Country	Rows	First year	Last year
`CYP`	29	1973	2015
`JPN`	26	1973	2014
`KOR`	24	1975	2013
`SGP`	23	1975	2015
`PHL`	22	1975	2014
`IND`	22	1975	2013
`KAZ`	19	1994	2015
`THA`	18	1975	2015
`TUR`	17	1990	2012
`LKA`	15	1973	2004
`MDV`	13	1995	2013
`BGD`	11	1975	2006
`MYS`	11	1973	2000
`ISR`	10	1995	2011
`GEO`	10	1998	2014
...	18 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Azerbaijan`
`country_iso3`	`string`	—	`AZE`
`year`	`int64`	—	`2001`
`Police Officers per 1,000 people`	`float64`	—	`5.037257`
`World region according to OWID`	`string`	—	`Asia`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-police-officers-per-1000-people")
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="Police Officers per 1,000 people")

Citation

bibtex

@misc{asia_owid_police_officers_per_1000_people_2015,
  title        = {Police Officers Per 1000 People | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2015},
  url          = {https://ourworldindata.org/grapher/police-officers-per-1000-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-police-officers-per-1000-people}}
}

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/police-officers-per-1000-people