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electricsheepasia/asia-owid-military-spending-sipri

Military Spending Sipri | Asia (Our World in Data) 🌏 2,034 observations Β· 44 Asia countries Β· 1951–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,034 observations of Military Spending Sipri data across 44 Asia countries, spanning 1951–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Military Spending Sipri Geographic coverage 44 Asia countries Β· top… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-military-spending-sipri.

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Military Spending Sipri | Asia (Our World in Data)

🌏 2,034 observations Β· 44 Asia countries Β· 1951–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,034 observations of Military Spending Sipri data across 44 Asia countries, spanning 1951–2025.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
LKA7519512025
ISR7419522025
JPN7419522025
KOR7319532025
TUR7319532025
IND7019562025
PAK7019562025
MYS6919572025
THA6919572025
MMR6819512024
PHL6719582025
IRN6619602025
JOR5919672025
SAU5919632025
NPL5619702025
...29 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1970
Military expenditurefloat64β€”5373185.0
World region according to OWIDstringβ€”Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-military-spending-sipri")
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="Military expenditure")

Citation

bibtex
@misc{asia_owid_military_spending_sipri_2025,
  title        = {Military Spending Sipri | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/military-spending-sipri},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-military-spending-sipri}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/military-spending-sipri