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README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+language:
+  - en
+tags:
+  - geography
+  - cities
+  - population
+  - geospatial
+  - geonames
+  - coordinates
+size_categories:
+  - 1K<n<10K
+task_categories:
+  - tabular-classification
+  - feature-extraction
+pretty_name: "World Cities Dataset 2026 (Population >= 100K)"
+---
+
+# World Cities Dataset 2026
+
+Structured dataset of **5,979 cities worldwide** with population above 100,000. Includes coordinates, timezone, elevation, and country association.
+
+## Dataset Description
+
+- **Source:** [Bamwor](https://bamwor.com) — based on GeoNames data, curated and enriched
+- **Records:** 5,979 cities (population >= 100,000)
+- **Countries represented:** 171
+- **Full dataset:** 13.4M cities (available via API)
+- **Format:** CSV and Parquet
+- **License:** CC BY 4.0
+- **Last Updated:** March 2026
+
+## Fields
+
+| Column | Type | Description |
+|--------|------|-------------|
+| geoname_id | int | GeoNames unique identifier |
+| name | string | City name (ASCII English) |
+| country_code | string | ISO 2-letter country code |
+| population | int | City population |
+| latitude | float | Latitude |
+| longitude | float | Longitude |
+| timezone | string | IANA timezone |
+| elevation | int | Elevation in meters (if available) |
+| feature_code | string | GeoNames feature code (PPLC=capital, PPLA=admin center, etc.) |
+
+## Quick Stats
+
+- **5,979 cities** across 171 countries
+- Population range: 100,000 to 24,874,500 (Shanghai)
+- Top countries by city count: China (641), India (534), Brazil (382), US (356), Japan (293)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("bamwor/world-cities")
+df = ds["train"].to_pandas()
+
+# Top 20 largest cities globally
+print(df.nlargest(20, "population")[["name", "country_code", "population"]])
+
+# Cities in Brazil above 500K
+brazil = df[(df["country_code"] == "BR") & (df["population"] >= 500000)]
+print(brazil.sort_values("population", ascending=False))
+```
+
+## What's NOT included (available via API)
+
+- 13.4M+ cities (this dataset only includes cities >= 100K population)
+- Multilingual city names (Spanish, Portuguese, Italian)
+- Administrative region / province names
+- URL slugs for web integration
+- Nearby cities search (PostGIS-powered)
+
+## Full Data Access
+
+- **REST API:** [bamwor.com/developers](https://bamwor.com/en/developers) — free tier: 1,000 requests/day
+- **MCP Server:** [bamwor-mcp-server](https://npmjs.com/package/bamwor-mcp-server) — AI agent integration
+- **Complete country data:** [bamwor/world-countries](https://huggingface.co/datasets/bamwor/world-countries)
+- **GitHub:** [bamwor-dev/bamwor-mcp-server](https://github.com/bamwor-dev/bamwor-mcp-server)
+
+## Citation
+
+```bibtex
+@misc{bamwor2026cities,
+  title={World Cities Dataset 2026},
+  author={Bamwor},
+  year={2026},
+  url={https://bamwor.com},
+  note={Based on GeoNames, curated by Bamwor}
+}
+```

world_cities.parquet

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