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electricsheepasia/asia-owid-refugee-population-by-country-or-territory-of-origin

Refugee Population By Country Or Territory Of Origin | Asia (Our World in Data) 🌏 1,777 observations · 48 Asia countries · 1964–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,777 observations of Refugee Population By Country Or Territory Of Origin data across 48 Asia countries, spanning 1964–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Refugee Population By… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-refugee-population-by-country-or-territory-of-origin.

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Dataset Card

Refugee Population By Country Or Territory Of Origin | Asia (Our World in Data)

🌏 1,777 observations · 48 Asia countries · 1964–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,777 observations of Refugee Population By Country Or Territory Of Origin data across 48 Asia countries, spanning 1964–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Refugee Population By Country Or Territory Of Origin

Geographic coverage

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

CountryRowsFirst yearLast year
VNM5719642024
CHN5419642024
KHM5319712024
ARM5119642024
LAO5019752024
IRQ4919682024
PHL4819772024
SYR4819682024
TUR4719722024
IDN4719782024
AFG4619792024
IRN4519802024
PSE4319762024
LBN4219822024
JOR4119842024
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1979
Refugees by country of originint64—500000
World region according to OWIDstring—Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-refugee-population-by-country-or-territory-of-origin")
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="Refugees by country of origin")

Citation

bibtex
@misc{asia_owid_refugee_population_by_country_or_territory_of_origin_2024,
  title        = {Refugee Population By Country Or Territory Of Origin | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/refugee-population-by-country-or-territory-of-origin},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-refugee-population-by-country-or-territory-of-origin}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/refugee-population-by-country-or-territory-of-origin