Executive verdict

The two samples have nearly identical cleanliness complaint shares: 0.52% on Google Maps and 0.58% on TripAdvisor. The 0.06 percentage-point gap does not establish a hygiene finding about any individual restaurant.

Scope and recency

The broader coverage contains 243 restaurant records and 332,935 reviews in British Columbia, Canada. Businesses are not identity-matched across providers, so 243 is not a distinct-restaurant count. 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 Aggregate 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
TripAdvisor rating distribution
5-star
67.06%
8,441 reviews
4-star
17.57%
2,212 reviews
3-star
6.91%
870 reviews
2-star
4.0%
504 reviews
1-star
4.46%
561 reviews
Locations
243
Published reviews
332,935
Reviews analyzed
22,945
Reviews with ratings
22,945
Average rating
4.37
Review period
January 04, 2008 to July 31, 2026

The quantified finding

In separate platform samples, Google Maps measured 0.52 percent, while TripAdvisor measured 0.58 percent. The descriptive gap was 0.06 percentage points. This describes a difference between these review samples; it does not establish a platform effect.

Cleanliness Complaint share: Google Maps: 0.52 percent vs. TripAdvisor: 0.58 percent. Basis: Same market, category, metric, and analysis period; provider samples are not matched by business.

Evidence

Cleanliness complaint share by platform

This describes a difference between the analyzed provider samples; it does not establish a platform effect.

Complaint share
Google Maps
0.52%
10,357 reviews across 94 locations · 95% interval 0.4–0.7%
TripAdvisor
0.6%
12,588 reviews across 102 locations · 95% interval 0.5–0.8%
Difference
0.08 pp

Why this comparison matters

The near-alignment shows that cleanliness complaints are similarly uncommon in both samples. Because businesses are not identity-matched across providers, the figures are sample context rather than a like-for-like market estimate for any restaurant.

What local reviews may clarify

  • Whether cleanliness complaints refer to the dining room, restrooms, tableware, or food handling.
  • Whether complaint timing aligns with specific shifts or service areas.
  • Whether recent reviews repeat the same context.

Evidence around the finding

  • Google Maps cleanliness complaints: 0.52% across 10,354 reviews and 120 business records.
  • TripAdvisor cleanliness complaints: 0.58% across 12,574 reviews and 119 business records.
  • The samples cover the same market, category, metric, and analysis period, but businesses are not identity-matched across providers.
  • Complaint examples mention an uncleared table, stained seating, and dirty floors or window areas.
  • Cleanliness praise also appears in 171 Google Maps reviews across 86 business records and 254 TripAdvisor reviews across 93 business records. Examples describe clean dining spaces and restaurants alongside positive food or service experiences. This is a separate metric and does not contradict the near-equal complaint shares.

Confidence and limitations

Low confidence. The two sample shares are close, and unmatched business coverage limits direct comparison.

  • Platform audiences and review prompts may differ.
  • The platform samples use different review or business denominators.
  • Market evidence cannot establish the cause of the difference.
  • The comparison does not describe every business in the market.
  • Cleanliness praise is also present in both samples.
  • The two comparison sides cover different numbers of businesses.

Methodology

How Reviato Insights measures market signals.

Comparing another review set

A like-for-like comparison uses the same cleanliness topic, provider, and period. Different business coverage limits direct comparison with these two samples.