What the reviews show

Cleanliness complaints appeared in 0.52 percent of analyzed Google Maps reviews and 0.58 percent of analyzed TripAdvisor reviews. The absolute gap is 0.06 percentage points. These are unmatched review samples, so the gap does not rank the platforms or establish a cause.

The practical question: Should operators inspect cleanliness controls?

  • Cleanliness complaints: 54 reviews across 39 businesses.
  • Cleanliness praise: 171 reviews across 86 businesses.
  • One review described the experience this way: “The only piece that was disappointing was the cleanliness, the floors and area around the windows were dirty, and didn’t look like it was cleaned regularly.”
  • One review described the experience this way: “The interior is modern, clean, and welcoming, and during non-peak hours there was no need to wait for a table, making for a very comfortable dining experience.”

Evidence

Cleanliness evidence

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

Topic share
Complaint share
0.52%
10,357 reviews across 94 locations · 95% interval 0.4–0.7%
Praise share
1.66%
10,357 reviews across 94 locations · 95% interval 1.4–1.9%
Market context · Complaint share
Food
10.52%
Service
7.21%
Wait Time
5.78%
Value
4.53%
Cleanliness
0.52%
Complaint share
0.5%
Praise share
1.7%
Reviews analyzed
10,357
Locations
94
Praise example
The place itself is clean and welcoming, the staff is friendly, and the service was quick.

Google Maps

Complaint example
After we finished our mains we sat for 25 mins with our dirty plates before someone cleared them despite being in the middle of the dining floor.

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.

  • Separate dining-room, restroom, tableware, and food-handling references.
  • Compare the timing of complaints with cleaning and inspection logs.
  • Review whether the pattern clusters by shift or service area.
  • Search your recent reviews for the same context.

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 restaurants.
  • Reviews describe guest experiences; they do not establish what caused them.
  • The pattern will not apply to every restaurant in Vancouver.
  • Positive and negative examples both appear, so compare both with your own reviews.

Coverage and recency

The broader coverage contains 243 restaurants and 332,935 reviews in Vancouver, British Columbia, Canada. The topic comparison uses 22,928 distinct reviews from February 8, 2013 through July 31, 2026: 10,354 from Google Maps and 12,574 from TripAdvisor.

Evidence

Evidence snapshot

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

Google Maps rating distribution
5-star
74.58%
7,724 reviews
4-star
9.77%
1,012 reviews
3-star
4.52%
468 reviews
2-star
3.32%
344 reviews
1-star
7.81%
809 reviews
Rating benchmark by geography
Vancouver
4.4
British Columbia
4.4
Canada
4.33
Locations
124
Published reviews
242,107
Reviews analyzed
10,357
Reviews with ratings
10,357
Average rating
4.4
Review period
February 08, 2013 to July 31, 2026

Methodology

How Reviato Insights measures market signals.