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World Countries Dataset 2026
Structured dataset of 261 countries and territories with population, area, geographic region, coordinates, and ISO codes.
Fields
| Column | Type | Description |
|---|---|---|
| name | string | Country name (English) |
| slug | string | URL-friendly identifier |
| iso_code | string | ISO 3166-1 alpha-2 code |
| region | string | Geographic region (e.g. "Europe", "South America") |
| population | int | Total population |
| area_sq_km | int | Total area in square kilometers |
| latitude | float | Center latitude |
| longitude | float | Center longitude |
| category | string | "country" or "territory" |
Usage
from datasets import load_dataset
ds = load_dataset("bamwor/world-countries")
df = ds["train"].to_pandas()
# Top 10 most populous countries
print(df.nlargest(10, "population")[["name", "population", "region"]])
What's NOT included (available via API)
The free dataset provides basic identification and location data. The following are available through the Bamwor API:
- 20+ statistics per country (GDP, HDI, life expectancy, literacy, etc.)
- Multilingual names (English, Spanish, Portuguese, Italian)
- Multilingual URL slugs
- Country sections (detailed text descriptions)
- Resources and external links
- City data (13.4M cities — see bamwor/world-cities)
Full Data Access
- REST API: bamwor.com/developers — free tier: 1,000 requests/day
- MCP Server: bamwor-mcp-server — AI agent integration for Claude Desktop, Cursor, and more
- GitHub: bamwor-dev/bamwor-mcp-server
Citation
@misc{bamwor2026countries,
title={World Countries Dataset 2026},
author={Bamwor},
year={2026},
url={https://bamwor.com},
note={Aggregated from CIA World Factbook, UN, World Bank}
}
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