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electricsheepeurope/europe-owid-genuine-savings-per-capita-in-international-dollars-1900-2000

Genuine Savings Per Capita In International Dollars 1900 2000 | Europe (Our World in Data) šŸ‡ŖšŸ‡ŗ 404 observations Ā· 4 Europe countries Ā· 1900–2000 Ā· Repackaged by Electric Sheep Europe TL;DR This dataset contains 404 observations of Genuine Savings Per Capita In International Dollars 1900 2000 data across 4 Europe countries, spanning 1900–2000. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-genuine-savings-per-capita-in-international-dollars-1900-2000.

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Dataset Card

Genuine Savings Per Capita In International Dollars 1900 2000 | Europe (Our World in Data)

šŸ‡ŖšŸ‡ŗ 404 observations Ā· 4 Europe countries Ā· 1900–2000 Ā· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 404 observations of Genuine Savings Per Capita In International Dollars 1900 2000 data across 4 Europe countries, spanning 1900–2000.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Genuine Savings Per Capita In International Dollars 1900 2000

Geographic coverage

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

CountryRowsFirst yearLast year
CHE10119002000
DEU10119002000
FRA10119002000
GBR10119002000

Schema

ColumnTypeDescriptionExample
country_namestring—France
country_iso3string—FRA
yearint64—1900
Genuine saving (Blum, Ducoing, McLaughlin (2017))float64—174.41

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-genuine-savings-per-capita-in-international-dollars-1900-2000")
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="Genuine saving (Blum, Ducoing, McLaughlin (2017))")

Citation

bibtex
@misc{europe_owid_genuine_savings_per_capita_in_international_dollars_1900_2000_2000,
  title        = {Genuine Savings Per Capita In International Dollars 1900 2000 | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2000},
  url          = {https://ourworldindata.org/grapher/genuine-savings-per-capita-in-international-dollars-1900-2000},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-genuine-savings-per-capita-in-international-dollars-1900-2000}}
}

License

Released under cc-by-4.0.

Original data Ā© 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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/genuine-savings-per-capita-in-international-dollars-1900-2000