Snapshot: Google Maps Performance for San Francisco Hotels
This benchmark isolates whether Google Maps performance in San Francisco reflects local execution differences or broader market scoring norms. Data collected on 2026-03-31.
Google Maps rating in San Francisco is 3.65, which is +0.05 vs California and -0.31 vs US.
| Scope | Average rating | Avg reviews per location | Sample size |
|---|---|---|---|
| San Francisco | 3.65 | 746 | 102 |
| California | 3.60 | 828 | 1 |
| US | 3.96 | 7,610 | 3 |
What is the average Google Maps rating for San Francisco Hotels?
The average rating shown here is 3.65, calculated from listing-level rating totals across 76,082 published reviews in the current locality-level snapshot. The 2,979 sampled review texts are used separately for themes, quotes, and distribution rows.
City vs Region Benchmark (Google Maps)
Compared with California, San Francisco is currently above baseline by 0.05 points.
Use this as your nearby-market check before deciding whether a city issue is truly local or part of a wider regional pattern.
City vs Country Benchmark (Google Maps)
Compared with US, San Francisco is currently below baseline by 0.31 points.
This baseline is most useful for quarterly target-setting and national positioning on Google Maps.
Decision Guidance for Operators
Because San Francisco is above California by 0.05 and below US by 0.31, your next decision should prioritize national positioning on Google Maps.
If city and baseline deltas move in opposite directions over time, treat that as a signal to split reporting by market tier rather than rely on one blended KPI.
Data Methodology
Public Google Maps reviews. Data collected on 2026-03-31.
Ratings and published review totals come from page-level listing data. Themes, quotes, and sampled rating distribution rows come from 2,979 sampled review texts analyzed for this article.
- Published reviews across analyzed locations: 76,082
- Review texts analyzed: 2,979
- Locations in scope: 102
- City/region/country benchmark rows use the same platform-specific aggregate method.
This is a pooled locality-level snapshot; individual listings may differ sharply.
Continue Reading
If you want to go deeper, these related resources are the best next stops.