Restaurant coverage in Palm Beach, Florida: a data-backed local view

A city-level POI extract can serve both marketing and data teams. It provides evidence for local content while also supporting coverage analysis and geographic research.

The numbers behind this local view

This article uses a random 80,000-record sample from the operational listings in our US POI collection. After filtering for numeric ratings and review counts, the sample contained 4 Restaurant records associated with Palm Beach, Florida. Their average public rating was 4.65, with 11,251 reviews in total — roughly 2,813 reviews per record.

That is a sample statistic, not a census of every Restaurant in the city. It gives teams a consistent way to compare local categories without pretending that one snapshot is the whole market.

Representative records in the sample

• Bienaime Express — 5.0 rating, 24 reviews
• Antonacci Artisan Pizza Cafe — 4.7 rating, 165 reviews
• Vine Cafe — 4.6 rating, 159 reviews

These examples were selected from records crawled around August 27, 2026. They show the name, category, rating, review, address, coordinate, and status fields available in a structured POI record. They are not endorsements, rankings, or promises about current availability.

Where the data becomes useful

Counts show scale, ratings and review totals add context, and representative records make the data easier to explain without turning the article into a recommendation list.

Read the numbers with care

Ratings, reviews, opening hours, and operating status change. City labels can also reflect a source-defined metro area rather than a strict municipal boundary. Validate current source information before a record is used in customer-facing content or operational decisions.

Explore US POI datasets to build location-data workflows around state, city, category, coordinates, and business signals.