A field guide to Cannabis store data in Bernalillo, New Mexico
A data-backed look at Cannabis store records in Bernalillo, New Mexico: 4 sampled locations, 4.80 average rating, and 5,294 public reviews.
A field guide to Cannabis store data in Bernalillo, New Mexico
A map can show nearby businesses in seconds, but a market view needs more context. Category labels, review signals, coordinates, and timestamps make the pattern easier to evaluate.
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 Cannabis store records associated with Bernalillo, New Mexico. Their average public rating was 4.80, with 5,294 reviews in total — roughly 1,324 reviews per record.
That is a sample statistic, not a census of every Cannabis store 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
- Oasis Cannabis Dispensary — 4.9 rating, 3,825 reviews
- Enchanted Botanicals Nob Hill - Cannabis Dispensary & Lounge — 4.9 rating, 821 reviews
- Oasis Cannabis Co. — 4.9 rating, 626 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
For directory operators, this is a starting point for deduplication, address validation, and category normalization. Analysts can join it with polygons, drive-time areas, or first-party data.
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.