electricsheepeurope/europe-owid-lettuce-yields

Lettuce Yields | Europe (Our World in Data)

🇪🇺 1,406 observations · 32 Europe countries · 1961–2024 · Repackaged by Electric Sheep Europe

TL;DR

This dataset contains 1,406 observations of Lettuce Yields data across 32 Europe countries, spanning 1961–2024.

About the source

• Source: Our World in Data
• Publisher: Our World in Data
• License: cc-by-4.0
• Topic: Lettuce Yields

Geographic coverage

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

Country	Rows	First year	Last year
AUT	64	1961	2024
BGR	64	1961	2024
DEU	64	1961	2024
CHE	64	1961	2024
GBR	64	1961	2024
FRA	64	1961	2024
ESP	64	1961	2024
DNK	64	1961	2024
HUN	64	1961	2024
GRC	64	1961	2024
NLD	64	1961	2024
ITA	64	1961	2024
PRT	64	1961	2024
SWE	64	1961	2024
POL	43	1982	2024
...	17 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Albania
country_iso3	string	—	ALB
year	int64	—	2006
Lettuce - Yield (tonnes per hectare)	float64	—	22.289902

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-lettuce-yields")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Lettuce - Yield (tonnes per hectare)")

Citation

@misc{europe_owid_lettuce_yields_2024,
  title        = {Lettuce Yields | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/lettuce-yields},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-lettuce-yields}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/lettuce-yields