What the reviews show

Noise complaints appeared in 6.41 percent of analyzed Google Maps reviews and 6.46 percent of analyzed Tripadvisor reviews. The absolute gap is 0.05 percentage points. These are unmatched review samples, so the gap does not rank the platforms or establish a cause.

The practical question: Does this noise pattern appear in recent local reviews?

  • Noise complaints: 397 reviews across 77 businesses.
  • Noise praise: 361 reviews across 73 businesses.
  • One review described the experience this way: “The new room was better, but still very noisy, with loud music from the rooftop and truck unloading noises in the early morning, which again prevented me from getting proper rest.”
  • One review described the experience this way: “The room itself was very clean, quiet, spacious, good shower, comfortable bed with a nice view of the city, and the usual white tea toiletries that smell great.”

Evidence

Noise evidence

Google Maps reviews show how this topic splits between complaints and praise.

Topic share
Complaint share
6.47%
6,218 reviews across 79 locations · 95% interval 5.9–7.1%
Praise share
5.82%
6,218 reviews across 79 locations · 95% interval 5.3–6.4%
Market context · Complaint share
Room
19.07%
Service
14.91%
Value
10.21%
Wait Time
7.75%
Noise
6.47%
Complaint share
6.5%
Praise share
5.8%
Reviews analyzed
6,218
Locations
79
Praise example
Quiet.

Google Maps

Complaint example
3) The air conditioning in the room was very noisy, and something was wrong with the temperature.

Google Maps

Why this matters to an operator

The market figures are a benchmark, not a diagnosis. Compare recent noise mentions by location and period; a local cluster is more useful than the market percentage when deciding where to investigate.

What to compare in your reviews

Start with recent noise mentions in your own reviews. Compare positive and negative experiences by business and period before changing procedures.

  • Filter recent reviews for noise references.
  • Compare positive and negative examples by business and period.
  • Use local operating records before changing operations.

Confidence and limits

These figures describe unmatched platform samples, not every business in the market. Use them as context, then confirm any local concern with recent reviews and operating records.

  • Google Maps and Tripadvisor may attract different reviewers and cover different sets of hotels.
  • Reviews describe guest experiences; they do not establish what caused them.
  • The pattern will not apply to every hotel in Boston.
  • Positive and negative examples both appear, so compare both with your own reviews.

Coverage and recency

The broader coverage contains 188 hotels and 368,447 reviews in Boston, Massachusetts, United States. The topic comparison uses 17,215 distinct reviews from October 7, 2017 through July 30, 2026: 6,192 from Google Maps and 11,023 from Tripadvisor.

Evidence

Evidence snapshot

The article uses this Google Maps dataset scope before interpreting review themes.

Google Maps rating distribution
5-star
59.3%
3,687 reviews
4-star
12.87%
800 reviews
3-star
8.07%
502 reviews
2-star
5.84%
363 reviews
1-star
13.93%
866 reviews
Rating benchmark by geography
Boston
4.25
Massachusetts
4.22
United States
4.03
Locations
82
Published reviews
148,094
Reviews analyzed
6,218
Reviews with ratings
6,218
Average rating
4.25
Review period
October 07, 2017 to July 31, 2026

Methodology

How Reviato Insights measures market signals.