Las Vegas Bar locations: a practical POI data snapshot

Local SEO and GIS work meet at the same question: where is the real-world activity, and which records are reliable enough to use? This snapshot starts with a consistent data method.

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 3 Bar records associated with Las Vegas, Nevada. Their average public rating was 4.57, with 2,017 reviews in total — roughly 672 reviews per record.

That is a sample statistic, not a census of every Bar 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

• ReBAR — 4.7 rating, 714 reviews
• Tap House — 4.5 rating, 992 reviews
• Electric Mushroom — 4.5 rating, 311 reviews

These examples were selected from records crawled around August 28, 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

A practical workflow is to filter by status and category, inspect clusters on a map, compare review signals with coverage, and refresh the result as the market changes.

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.