What the data covers
This article covers hotels in New York, United States. The provider coverage contains 344 hotel records and 785,908 reviews; businesses are not identity-matched across providers, so 344 is not a distinct-hotel count.
The broader summary review population is 30,948. The topic analysis population is 30,141, which is used for all topic percentages below.
In the topic analysis, Google Maps contributes 9,192 reviews and Tripadvisor contributes 20,949 reviews. The period runs from October 15, 2015 through July 31, 2026.
Evidence
Evidence snapshot
The article uses this Aggregate dataset scope before interpreting review themes.
- 5-star
- 52.83%
- 5,760 reviews
- 4-star
- 14.69%
- 1,601 reviews
- 3-star
- 8.4%
- 916 reviews
- 2-star
- 6.33%
- 690 reviews
- 1-star
- 17.75%
- 1,935 reviews
- 5-star
- 64.79%
- 15,057 reviews
- 4-star
- 13.93%
- 3,237 reviews
- 3-star
- 6.94%
- 1,613 reviews
- 2-star
- 5.07%
- 1,178 reviews
- 1-star
- 9.27%
- 2,155 reviews
- Locations
- 460
- Published reviews
- 894,981
- Reviews analyzed
- 34,142
- Reviews with ratings
- 34,142
- Average rating
- 4.02
- Review period
- October 25, 2006 to September 01, 2026
What reviewers like
New York, United States hotels are repeatedly praised for where they are. On Google Maps, location praise is 40.72%. On Tripadvisor, location praise is 46.65%.
Guests also leave frequent service praise. Service praise appears in 45.18% of Google Maps topic reviews and 62.66% on Tripadvisor, with multiple examples describing warm staff and a smooth check-in experience.
Room conditions and upkeep also receive meaningful positive mentions. Google Maps shows 41.49% room maintenance praise, and Tripadvisor shows 49.44%. In the review details, guests mention clean rooms, comfortable beds, and courteous staff handling issues.
Breakfast quality is praised less often than location and service, but it is still a positive theme where it appears: 12.26% on Google Maps and 15.75% on Tripadvisor. One set of examples includes hotel stayers describing hot brewed coffee and clean breakfast areas, and another describing “excellent value” and good convenience.
Where reviews show friction
Room maintenance is the clearest friction area. Google Maps has a room maintenance complaint share of 24.63%, while Tripadvisor has 15.81%. That is a material gap of 8.82 percentage points.
Service friction is also present. Service complaints are 16.24% on Google Maps and 11.44% on Tripadvisor. Typical friction examples include desks where staff are slow to respond, weak resolution, and confusing interactions at check-in.
For example, one review describes a stay where the manager was unhelpful after a request was escalated, and another notes sockets not working plus broken equipment and limited comfort details like no refrigerator, which illustrates complaints about room readiness.
Wait-time praise differs between the samples: 4.13% on Google Maps and 9.57% on Tripadvisor. Wait-time complaint shares are nearly identical at 7.34% and 7.33%.
How Google Maps and Tripadvisor differ
| Topic | Google Maps | Tripadvisor | Difference | Interpretation |
|---|---|---|---|---|
| Service (praise share) | 45.18% | 62.66% | 17.48 pp | Tripadvisor is higher in these samples. |
| Location (praise share) | 40.72% | 46.65% | 5.93 pp | Tripadvisor is higher in these samples. |
| Room maintenance (praise share) | 41.49% | 49.44% | 7.95 pp | Tripadvisor is higher in these samples. |
| Room maintenance (complaint share) | 24.63% | 15.81% | 8.82 pp | Google Maps is higher in these samples. |
| Wait time (praise share) | 4.13% | 9.57% | 5.44 pp | Tripadvisor is higher in these samples. |
The samples contain both praise and complaints for service, room maintenance, and wait time; a comparison in one direction does not erase evidence in the other.
These figures compare unmatched platform samples. They describe the analyzed samples, not a platform effect.
Evidence
Platform comparison
Compare platform-level rating and review volume before treating one channel as the full market.
- Google Maps
- 4.0
- 1,186 average published reviews
- Tripadvisor
- 4.04
- 2,502 average published reviews
- Google Maps
- 4 rating · 1,186 avg reviews
- Tripadvisor
- 4.04 rating · 2,502 avg reviews
Where the platforms agree
| Topic | Google Maps | Tripadvisor | Difference | Interpretation |
|---|---|---|---|---|
| Wait time (complaint share) | 7.34% | 7.33% | 0.01 pp | The samples differ by 0.01 pp. |
| Breakfast (complaint share) | 3.21% | 3.37% | 0.16 pp | The samples differ by 0.16 pp. |
These figures describe aligned values in the two unmatched platform samples.
Why this is a snapshot, not a trend
This is a single analysis period. There is no prior comparable period in the available evidence to reliably support trend language like rising or falling.
Reference values in the two samples
Service, room maintenance, location, and wait time are the clearest comparison topics. Room-maintenance complaint shares are 24.63% on Google Maps and 15.81% on Tripadvisor, while service complaint shares are 16.24% and 11.44%.
Location praise is 40.72% on Google Maps and 46.65% on Tripadvisor. These values provide directional context for the unmatched samples; they are not operational targets or a one-to-one scorecard.
Limitations
- Topic shares come from the aligned topic analysis sample, not all available reviews.
- Two platform samples differ in size and denominator and are not matched by business.
- Review language processing is English-text-based.
- Confidence is constrained by unmatched samples and different review prompts between platforms.
Methodology and source notes
Both platform samples cover one analysis period, 2015-10-15 to 2026-07-31, for New York, United States hotels. The broader summary includes 30,948 reviews, while the topic analysis includes 30,141 reviews.
Within the topic analysis, Google Maps has 9,192 analyzed reviews and Tripadvisor has 20,949. Each review receives equal weight, and the market-level percentages are from the same period.
The comparison values use Wilson score uncertainty intervals on each point estimate. Importantly, the unmatched-sample boundary is explicit: differences describe sample differences, not proven platform behavior differences. Platform audiences and review prompts differ, and review counts and business coverage differ by sample.