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electricsheepeurope/europe-owid-police-officers-per-1000-people

Police Officers Per 1000 People | Europe (Our World in Data) 🇪🇺 727 observations · 39 Europe countries · 1973–2015 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 727 observations of Police Officers Per 1000 People data across 39 Europe 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-police-officers-per-1000-people.

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Dataset Card

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

🇪🇺 727 observations · 39 Europe countries · 1973–2015 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 727 observations of Police Officers Per 1000 People data across 39 Europe 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

39 Europe countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
`FIN`	32	1973	2015
`SWE`	32	1973	2015
`DNK`	31	1973	2015
`PRT`	27	1975	2015
`CHE`	27	1976	2015
`AUT`	26	1973	2015
`NOR`	25	1973	2014
`IRL`	24	1973	2014
`ITA`	23	1980	2015
`ROU`	22	1990	2015
`GRC`	22	1973	2015
`SVN`	21	1994	2015
`LTU`	21	1994	2015
`ISL`	20	1995	2015
`MLT`	20	1982	2015
...	24 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Albania`
`country_iso3`	`string`	—	`ALB`
`year`	`int64`	—	`1997`
`Police Officers per 1,000 people`	`float64`	—	`5.567563`
`World region according to OWID`	`string`	—	`Europe`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-police-officers-per-1000-people")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

germany = df[df["country_iso3"] == "DEU"]

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{europe_owid_police_officers_per_1000_people_2015,
  title        = {Police Officers Per 1000 People | Europe (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 Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope

Provenance: ingested 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/police-officers-per-1000-people