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electricsheepeurope/europe-owid-demographic-transition-sweden

Demographic Transition Sweden | Europe (Our World in Data) 🇪🇺 3,220 observations · 21 Europe countries · 1749–2010 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 3,220 observations of Demographic Transition Sweden data across 21 Europe countries, spanning 1749–2010. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Demographic Transition Sweden Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-demographic-transition-sweden.

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Dataset Card

Demographic Transition Sweden | Europe (Our World in Data)

🇪🇺 3,220 observations · 21 Europe countries · 1749–2010 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 3,220 observations of Demographic Transition Sweden data across 21 Europe countries, spanning 1749–2010.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Demographic Transition Sweden

Geographic coverage

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

Country	Rows	First year	Last year
`SWE`	262	1749	2010
`FIN`	260	1751	2010
`NOR`	260	1749	2010
`DNK`	211	1800	2010
`FRA`	210	1801	2010
`AUT`	181	1820	2010
`BEL`	180	1830	2010
`HUN`	149	1861	2010
`ROU`	149	1859	2010
`IRL`	146	1864	2010
`ESP`	146	1858	2010
`CHE`	141	1870	2010
`BGR`	130	1881	2010
`RUS`	129	1861	2010
`PRT`	125	1886	2010
...	6 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Albania`
`country_iso3`	`string`	—	`ALB`
`year`	`int64`	—	`1930`
`Crude birth rate`	`string`	—	`25.1`
`Crude death rate`	`string`	—	`16.3`

Data quality & caveats

—Crude birth rate column has 0.4% null values (filtered to non-null in this dataset).

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-demographic-transition-sweden")
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="Crude birth rate")

Citation

bibtex

@misc{europe_owid_demographic_transition_sweden_2010,
  title        = {Demographic Transition Sweden | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2010},
  url          = {https://ourworldindata.org/grapher/demographic-transition-sweden},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-demographic-transition-sweden}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/demographic-transition-sweden