Google review statistics from 26,588 real reviews
What people actually write in Google reviews, measured across 54 local businesses from 2022 to 2026. Every number on this page is a direct computation on the dataset, verified on July 26, 2026, with the exact query documented. Cite anything you like, with attribution.
Want the story behind the numbers? We read 16,147 Google reviews of 30 restaurants, and it is not your food.
By Kevin Hofmann, founder of RepliFast. Last verified July 26, 2026.
What the data says in one paragraph
Most Google reviews are short praise: 76% are 5-star and half of those run under 10 words. The risk concentrates in the 13% rated 3 stars or below, which are three times longer, dominated by complaints about waiting rather than quality, and read most carefully by your next customer. Most of a profile is old: the median review is about 18 months.
Every statistic, one per section, citable alone
Each figure below stands on its own with a stable anchor link. Attribution for all of them: RepliFast analysis of 26,588 Google reviews across 54 local businesses, 2022-2026, mostly hospitality and travel.
The 11% carry the narrative
11.3% of Google reviews are rated 3 stars or below, and they are the reviews your next customer reads most carefully.
On a profile with 500 reviews that is roughly 55 public complaints, each one still answerable.
Population: all text reviews. Method: Direct count on the full dataset.
Angry customers write essays, happy ones wave
The average 1-star Google review is 3.5 times longer than the average 5-star review: 70 words versus 20.
By the median it is 42 words versus 11. Negative reviews are long, specific, and written to be read.
Population: all text reviews. Method: Direct count on the full dataset.
Nearly half of all 5-star reviews are under 10 words
46% of 5-star Google reviews are under 10 words long.
This is the pile that buries owners: short, grateful, and arriving in volume. It is also exactly what safe automation handles.
Population: 5-star reviews. Method: Direct count on the full dataset.
The biggest complaint in local business is time
37% of English-language 1- and 2-star Google reviews mention waiting or wait times.
The single most common thread in bad reviews is not quality. It is minutes.
Population: English-language 1- and 2-star reviews. Method: Direct count on the full dataset.
Service decides both ends of the rating scale
The word "service" appears in 35% of negative English-language Google reviews (3 stars or below) and 33% of English-language 5-star reviews.
No other single word comes close at both ends. Whatever the business sells, the review is usually about how it felt to be served.
Population: English-language reviews (n=10,243). Method: Direct count on the full dataset.
Rudeness and price complaints are smaller than you think
About 10% of English-language 1- and 2-star Google reviews call staff rude, and about 18% complain about price or value.
Both are dwarfed by complaints about waiting. Owners tend to brace for the wrong criticism.
Population: English-language 1- and 2-star reviews. Method: Direct count on the full dataset.
Restaurant complaints are about time, not cooking
In English-language 1- and 2-star restaurant reviews, 41% mention waiting or slowness, 19% complain about price, 15% call staff rude, and only 12% criticise the food itself.
Cleanliness appears in 5.9%, order errors in 6.3%, and cold food in 4.7%. The kitchen is rarely the thing customers are angry about.
Population: English-language 1- and 2-star restaurant reviews (n=1,446). Method: Direct count on the full dataset.
People praise the people, then the plate
In English-language 5-star restaurant reviews, 54% praise the staff or the service and 27% praise the food. Loyalty follows at 22%, atmosphere at 16%, and speed at 14%.
Both ends of the rating scale point the same way: how it felt to be served moves the star more than what was cooked.
Population: English-language 5-star restaurant reviews (n=5,948). Method: Direct count on the full dataset.
Restaurant ratings dip in the busy summer months
Average Google review ratings at restaurants and cafes dip in the busy summer months (June 4.19, August 4.17) and recover in autumn (October 4.44, November 4.45). Service strain shows up in the stars.
The effect is a restaurant one. Across the full mixed corpus, which includes year-round travel businesses, monthly averages are flat.
Population: restaurants and cafes (n=16,147 across 30 businesses). Method: Direct count on the full dataset.
Restaurant review volume peaks in October and May
Google review volume at restaurants and cafes peaks in October and May (1,669 and 1,660 reviews by calendar month in our data) and bottoms out in November (1,113).
Population: restaurants and cafes (n=16,147 across 30 businesses). Method: Direct count on the full dataset.
Reviews arrive in many languages
Only 39% of the Google reviews in our data are written in English. Roughly 20% are Spanish, 3% Polish, 2% French, 1% German, and 2% use CJK or Cyrillic scripts.
A reply tool that only works in English answers a minority of a real profile. This is also why every keyword figure on this page is measured on the English subset only.
Population: all text reviews. Method: Direct count on the full dataset.
Methodology
The dataset is 26,588 Google review texts across 54 local businesses that use RepliFast, mostly hospitality and travel, spanning 2022-05-12 to 2026-07-26. Only reviews with text are counted; star-only ratings are excluded. All figures are aggregates. No business identities, reviewer names, or individual reviews are published here.
Facts labeled “direct count” are single SQL computations, re-runnable as documented in our ledger, and were last verified on July 26, 2026. Population definitions are spelled out per fact because “negative” can mean 1-2 stars or 1-3 stars, and we never mix the two silently.
One methodological note that matters. Only about 39% of this corpus is written in English (10,243reviews), so every keyword-match figure here is computed on the English subset alone. Counting how often the word “service” appears across the whole multilingual corpus would measure how many reviewers speak English, not how many care about service. The English filter uses grammar words only, never content words, so it cannot bias the figures it gates. The seasonality and theme facts are likewise scoped to the 30 restaurants and cafes (16,147reviews), because the summer rating dip is a restaurant effect that disappears when year-round travel businesses are mixed in, and because “it is not your food” is only a fair claim about businesses that serve food.
Theme percentages are keyword matches, so they are conservative by design. “Waited 40 minutes” is caught; “we sat there and nobody came” may not be. Each theme share is a floor, not a ceiling. We prefer that direction of error for a number meant to be quoted.
Two things we deliberately do not publish: an owner reply-rate statistic (our own product posts replies into this dataset, which would contaminate the number) and any claim about review replies improving map rankings (we hold no ranking measurements). If a statistic is not on this page, we could not verify it.
How to cite: “RepliFast analysis of 26,588 Google reviews across 54 local businesses, 2022-2026, mostly hospitality and travel” with a link to this page. Per-statistic anchor links are stable.
Frequently asked questions
What percentage of Google reviews are 5-star?
In our analysis of 26,588 Google reviews across 54 local businesses, 80% of reviews are 5-star and only 5.7% are 1-star. The average rating is 4.55. Most review profiles are far more positive than their owners fear; the risk sits in the 11.3% rated 3 stars or below, because those are the reviews prospects read most carefully.
How long is the average negative Google review?
The average 1-star review in our data runs 70 words, three and a half times the 20-word average of a 5-star review. By the median it is 42 words versus 11. Negative reviewers write essays intended to be read; a calm owner reply is the only rebuttal the next customer ever sees.
What do customers complain about most in Google reviews?
Time. 37% of English-language 1- and 2-star reviews in our data mention waiting or wait times. By comparison, only about 18% complain about price and about 10% call staff rude. The word "service" appears in 35% of negative reviews and 33% of 5-star ones, so service decides both ends of the scale. The fix for most bad reviews is operational, not culinary.
What language are Google reviews written in?
Only 39% of the 26,588 reviews in our data are written in English. Roughly 20% are Spanish, 3% Polish, 2% French, 1% German, and 2% use CJK or Cyrillic scripts. A real local profile is usually multilingual, which is why every keyword figure on this page is measured on the English subset (n=10,243) rather than the whole corpus.
Where do these statistics come from?
From 26,588 real Google review texts across 54 local businesses (mostly hospitality and travel) that use RepliFast, spanning 2022-05-12 to 2026-07-26. All figures are aggregates computed with the SQL documented in the methodology section; no business identities or personal data are published. You are welcome to cite any figure with attribution.
The 13% deserve an answer. So do the other 87%.
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