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electricsheepeurope/europe-owid-women-who-have-next-birth-parity-progression-ratio

Women Who Have Next Birth Parity Progression Ratio | Europe (Our World in Data) 🇪🇺 443 observations · 20 Europe countries · 1932–1974 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 443 observations of Women Who Have Next Birth Parity Progression Ratio data across 20 Europe countries, spanning 1932–1974. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Women Who Have Next… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-women-who-have-next-birth-parity-progression-ratio.

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Dataset Card

Women Who Have Next Birth Parity Progression Ratio | Europe (Our World in Data)

🇪🇺 443 observations · 20 Europe countries · 1932–1974 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 443 observations of Women Who Have Next Birth Parity Progression Ratio data across 20 Europe countries, spanning 1932–1974.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Women Who Have Next Birth Parity Progression Ratio

Geographic coverage

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

Country	Rows	First year	Last year
`BGR`	40	1932	1971
`NLD`	38	1935	1972
`CZE`	37	1935	1971
`HUN`	34	1937	1970
`SVK`	30	1935	1964
`PRT`	30	1944	1973
`EST`	26	1944	1969
`RUS`	25	1944	1968
`DNK`	22	1953	1974
`NOR`	21	1952	1972
`UKR`	20	1944	1963
`BLR`	20	1949	1968
`SWE`	20	1955	1974
`IRL`	18	1955	1972
`POL`	17	1956	1972
...	5 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Austria`
`country_iso3`	`string`	—	`AUT`
`year`	`int64`	—	`1969`
`From 0 to 1 births`	`float64`	—	`79.3`
`From 1 to 2 births`	`float64`	—	`71.5`
`From 2 to 3 births`	`float64`	—	`32.5`
`From 3 to 4 births`	`float64`	—	`27.4`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-women-who-have-next-birth-parity-progression-ratio")
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="From 0 to 1 births")

Citation

bibtex

@misc{europe_owid_women_who_have_next_birth_parity_progression_ratio_1974,
  title        = {Women Who Have Next Birth Parity Progression Ratio | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {1974},
  url          = {https://ourworldindata.org/grapher/women-who-have-next-birth-parity-progression-ratio},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-women-who-have-next-birth-parity-progression-ratio}}
}

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 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/women-who-have-next-birth-parity-progression-ratio