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electricsheepasia/asia-owid-international-tourist-departures

International Tourist Departures | Asia (Our World in Data) 🌏 556 observations · 31 Asia countries · 1995–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 556 observations of International Tourist Departures data across 31 Asia countries, spanning 1995–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: International Tourist Departures Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-international-tourist-departures.

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Dataset Card

International Tourist Departures | Asia (Our World in Data)

🌏 556 observations · 31 Asia countries · 1995–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 556 observations of International Tourist Departures data across 31 Asia countries, spanning 1995–2024.

About the source

Geographic coverage

31 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ISR3019952024
GEO2919952024
IND2819952024
SGP2819952022
TUR2819952022
LKA2819952022
KHM2819952022
JOR2719952022
THA2719952021
CHN2619952020
ARM2520002024
SAU2320022024
OMN2020052024
NPL2019952017
BGD2019952019
...16 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Armenia
country_iso3string—ARM
yearint64—2000
International tourist departuresint64—111000

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-international-tourist-departures")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="International tourist departures")

Citation

bibtex
@misc{asia_owid_international_tourist_departures_2024,
  title        = {International Tourist Departures | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/international-tourist-departures},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-international-tourist-departures}}
}

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 Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/international-tourist-departures