electricsheepeurope/europe-owid-domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreig

Domestic Guests In Tourism Accommodation Hotels And Similar Establishments Vs Foreign Guests In Tourism Accommodation Hotels And Similar Establishments | Europe (Our World in Data)

🇪🇺 1,145 observations · 43 Europe countries · 1995–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 1,145 observations of Domestic Guests In Tourism Accommodation Hotels And Similar Establishments Vs Foreign Guests In Tourism Accommodation Hotels And Similar Establishments data across 43 Europe countries, spanning 1995–2024.

About the source

• —Source: Our World in Data
• —Publisher: Our World in Data
• —License: cc-by-4.0
• —Topic: Domestic Guests In Tourism Accommodation Hotels And Similar Establishments Vs Foreign Guests In Tourism Accommodation Hotels And Similar Establishments

Geographic coverage

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

Schema

Data quality & caveats

• —Local guests in hotels and similar establishments column has 15.2% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreig")
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="Local guests in hotels and similar establishments")

Citation

@misc{europe_owid_domestic_guests_in_tourism_accommodation_hotels_and_similar_establishments_vs_foreig_2024,
  title        = {Domestic Guests In Tourism Accommodation Hotels And Similar Establishments Vs Foreign Guests In Tourism Accommodation Hotels And Similar Establishments | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreign-guests-in-tourism-accommodation-hotels-and-similar-establishments},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreig}}
}

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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreign-guests-in-tourism-accommodation-hotels-and-similar-establishments