What the reviews show

Cleanliness complaints appeared in 6.04 percent of analyzed Google Maps reviews and 6.01 percent of analyzed Tripadvisor reviews. The absolute gap is 0.03 percentage points. These are unmatched review samples, so the gap does not rank the platforms or establish a cause.

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

  • Cleanliness complaints: 403 reviews across 78 businesses.
  • Cleanliness praise: 1,355 reviews across 94 businesses.
  • One review described the experience this way: “The room was cleaned but the shower was a bit dirty and the coffee maker had an old filter/coffee pack that was left there for weeks and had mold.”
  • One review described the experience this way: “Great service, friendly staff, accommodating, Stairs could have used vacuuming, but the room was very clean and all the linens were too!”

Evidence

Cleanliness evidence

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

Topic share
Complaint share
6.03%
6,688 reviews across 94 locations · 95% interval 5.5–6.6%
Praise share
20.32%
6,688 reviews across 94 locations · 95% interval 19.4–21.3%
Market context · Complaint share
Room
17.39%
Service
16.64%
Value
9.93%
Location
8.34%
Cleanliness
6.03%
Complaint share
6%
Praise share
20.3%
Reviews analyzed
6,688
Locations
94
Praise example
Clean rooms.

Google Maps

Complaint example
2 Hispanic ladies need to be fired & replaced and owner needs to upgrade and fix all the issues .I still have not gotten my refund from 2 weeks ago .If you don't care laying down in a disgusting bed and breathing that mold that's on you but I do not recomme...

Google Maps

Why this matters to an operator

The market figures are a benchmark, not a diagnosis. Compare recent cleanliness 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 cleanliness mentions in your own reviews. Compare positive and negative experiences by business and period before changing procedures.

  • Filter recent reviews for cleanliness 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 Houston.
  • Positive and negative examples both appear, so compare both with your own reviews.

Coverage and recency

The broader coverage contains 222 hotels and 223,411 reviews in Houston, Texas, United States. The topic comparison uses 18,891 distinct reviews from May 4, 2015 through July 31, 2026: 6,670 from Google Maps and 12,221 from Tripadvisor.

Evidence

Evidence snapshot

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

Google Maps rating distribution
5-star
57.27%
3,830 reviews
4-star
11.65%
779 reviews
3-star
7.22%
483 reviews
2-star
6.06%
405 reviews
1-star
17.81%
1,191 reviews
Rating benchmark by geography
Houston
4.05
Texas
4.03
United States
4.03
Locations
99
Published reviews
104,945
Reviews analyzed
6,688
Reviews with ratings
6,688
Average rating
4.05
Review period
March 19, 2014 to July 31, 2026

Methodology

How Reviato Insights measures market signals.