Food is the top complaint in 9,205 New York City cafe reviews (6%), ahead of wait time and service. Reviews span 2007–2026.
Cafe review snapshot in New York, United States
See the review patterns that stand out, compare the platforms, and open the source reports behind the numbers.
Service is the most common complaint theme, with a 3.8% average share of analyzed reviews across sources with a positive complaint share.
- Published reviews
- 108,575
- Listing records
- 222
- Platforms
- 2
- Updated
- October 29, 2026
How the review sources compare
Ratings and review volume are shown side by side so differences are easy to spot. The combined row sums listing records across sources. The same business may appear on more than one platform.
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| Source | Average rating | Listing records | Published reviews |
|---|---|---|---|
| Google Maps | 4.58 / 5 | 150 | 79,330 |
| Tripadvisor | 4.28 / 5 | 72 | 29,245 |
| Total | 4.48 / 5 | 222 | 108,575 |
What guests mention when something goes wrong
These percentages summarize distinct analyzed reviews with complaint mentions. Open the source counts to see the provider shares behind each market signal.
Each provider share is complaint reviews divided by analyzed reviews. Provider shares are rounded to two decimal places before averaging. The market signal gives equal weight to positive provider shares and excludes zero shares.
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01
Service
Analysis of service mentions.
Complaint signal
3.8%
Service source counts
- Google Maps
-
222 complaint reviews out of 7,020 analyzed reviews · 3.16%
Review period October 05, 2016 to June 20, 2026
Data updated October 24, 2026
- Tripadvisor
-
218 complaint reviews out of 5,009 analyzed reviews · 4.35%
Review period March 31, 2013 to June 12, 2026
Data updated October 24, 2026
-
02
Wait Time
Analysis of wait time and delays.
Complaint signal
3.4%
Wait Time source counts
- Google Maps
-
154 complaint reviews out of 7,020 analyzed reviews · 2.19%
Review period November 23, 2017 to June 15, 2026
Data updated October 24, 2026
- Tripadvisor
-
235 complaint reviews out of 5,009 analyzed reviews · 4.69%
Review period March 31, 2013 to March 31, 2026
Data updated October 24, 2026
-
03
Value
Analysis of value mentions.
Complaint signal
2.7%
Value source counts
- Google Maps
-
114 complaint reviews out of 7,020 analyzed reviews · 1.62%
Review period March 10, 2017 to June 20, 2026
Data updated October 24, 2026
- Tripadvisor
-
187 complaint reviews out of 5,009 analyzed reviews · 3.73%
Review period March 31, 2013 to June 12, 2026
Data updated October 24, 2026
-
04
Noise
Analysis of noise and volume mentions.
Complaint signal
0.7%
Noise source counts
- Google Maps
-
42 complaint reviews out of 7,020 analyzed reviews · 0.60%
Review period January 11, 2017 to June 19, 2026
Data updated October 24, 2026
- Tripadvisor
-
39 complaint reviews out of 5,009 analyzed reviews · 0.78%
Review period April 30, 2013 to December 31, 2025
Data updated October 24, 2026
-
05
Location
Analysis of location mentions.
Complaint signal
0.7%
Location source counts
- Google Maps
-
25 complaint reviews out of 7,020 analyzed reviews · 0.36%
Review period January 11, 2017 to June 20, 2026
Data updated October 24, 2026
- Tripadvisor
-
48 complaint reviews out of 5,009 analyzed reviews · 0.96%
Review period March 31, 2013 to June 21, 2026
Data updated October 24, 2026
-
06
Atmosphere
Analysis of ambiance and setting mentions.
Complaint signal
0.2%
Atmosphere source counts
- Google Maps
-
11 complaint reviews out of 7,020 analyzed reviews · 0.16%
Review period March 30, 2019 to June 20, 2026
Data updated October 24, 2026
- Tripadvisor
-
7 complaint reviews out of 5,009 analyzed reviews · 0.14%
Review period March 31, 2013 to June 12, 2026
Data updated October 24, 2026
What this market includes
The current New York, United States analysis covers one locality. City and regional views are combined here because they would otherwise repeat the same evidence.
New York
Source reports
Read the platform reports to see the source metrics and narrative behind this market summary.
How to read this analysis
Reviato standardizes public review metrics across sources, then calculates topic signals from distinct analyzed reviews. Platform labels and source reports stay visible so the findings can be checked.
Topic percentages describe distinct analyzed reviews, not every published review. Treat them as a market signal and confirm the pattern in your own recent feedback before acting.
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