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rrhagentbiz/us-public-tennis-courts

US Public Tennis Courts — 4,298 Locations Across 17 Metros (2026) Geocoded public tennis court locations for 17 major US metros (Austin, Dallas-Fort Worth, Denver, Fort Lauderdale, Houston, Los Angeles, Miami, Orange County, Phoenix, Portland, San Diego, San Francisco, San Jose, Seattle, Tampa, Washington DC, West Palm Beach): 4,298 locations with latitude/longitude, court counts (11,527 individual courts where counted), lighting, practice walls, and surface where known. Derived… See the full description on the dataset page: https://huggingface.co/datasets/rrhagentbiz/us-public-tennis-courts.

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US Public Tennis Courts — 4,298 Locations Across 17 Metros (2026)

Geocoded public tennis court locations for 17 major US metros (Austin, Dallas-Fort Worth, Denver, Fort Lauderdale, Houston, Los Angeles, Miami, Orange County, Phoenix, Portland, San Diego, San Francisco, San Jose, Seattle, Tampa, Washington DC, West Palm Beach): 4,298 locations with latitude/longitude, court counts (11,527 individual courts where counted), lighting, practice walls, and surface where known. Derived from OpenStreetMap (© OpenStreetMap contributors, ODbL) and municipal open data (Seattle Parks & Recreation). Published under the Open Database License (ODbL) 1.0.

See `us-public-tennis-courts.csv`. Blank values mean the source does not record that attribute — never estimated. data_source is osm (OpenStreetMap extract) or seattle-parks (Seattle Parks & Recreation open data).

License & attribution: Open Database License (ODbL) 1.0. Contains information from OpenStreetMap, which is made available under the Open Database License — © OpenStreetMap contributors. Derived databases must also credit OpenStreetMap and share under ODbL.

Compiled and maintained by [RallyClimb](https://rallyclimb.com) (rallyclimb.com) — the year-round tennis ladder. Every location has a live page with details, nearby courts, and local match activity; the dataset regenerates as new metros launch. Browse by metro:

Also from RallyClimb: a fully public, plain-English rating algorithm — every rating change on the ladder is explained and reproducible.