Snapshot: TripAdvisor Performance for New York Restaurants
Use this page to read TripAdvisor in two layers: city vs region for near-market context, then city vs country for broader positioning. Data collected on 2026-03-26.
TripAdvisor rating in New York is 4.37, which is +0.25 vs New York Region and +0.08 vs US.
| Scope | Average rating | Avg reviews per location | Sample size |
|---|---|---|---|
| New York | 4.37 | 2,297 | 94 |
| New York Region | 4.12 | 619 | 498 |
| US | 4.29 | 592 | 7 |
What is the average TripAdvisor rating for New York Restaurants?
The average rating shown here is 4.37, calculated from listing-level rating totals across 215,916 published reviews in the current locality-level snapshot. The 9,395 sampled review texts are used separately for themes, quotes, and distribution rows.
City vs Region Benchmark (TripAdvisor)
Compared with New York Region, New York is currently above baseline by 0.25 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 (TripAdvisor)
Compared with US, New York is currently above baseline by 0.08 points.
This baseline is most useful for quarterly target-setting and national positioning on TripAdvisor.
Decision Guidance for Operators
Because New York is above New York Region by 0.25 and above US by 0.08, your next decision should prioritize local consistency on TripAdvisor.
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 TripAdvisor reviews. Data collected on 2026-03-26.
Ratings and published review totals come from page-level listing data. Themes, quotes, and sampled rating distribution rows come from 9,395 sampled review texts analyzed for this article.
- Published reviews across analyzed locations: 215,916
- Review texts analyzed: 9,395
- Locations in scope: 94
- 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.