We measured every furniture store listing that ranks on Google Maps in 40 US cities. 798 listings. The typical one carries 163 reviews and a 4.6 rating.
In plain terms: a mid-pack ranking listing has around 163 reviews and a 4.6 rating. The middle half of everything that ranks sits between 50 and 602 reviews, which is a very wide spread. And one in three ranking listings is rated below 4.5, so the rating is not the gate people assume it is.
Method. Google Maps results for “furniture store in {city}” across the 40 largest US cities, collected 1 September 2026, signed out, twenty results deep per city. 800 listings returned. 2 were removed because Google classifies them as something other than a furniture store, leaving 798. Of those, 791 display a review count. Sponsored listings are stored and counted but never averaged into these figures. Ratings and review counts are Google’s own displayed values. Rankings vary with the searcher’s exact position, so treat city-level figures as a benchmark rather than a forecast. Full methodology. Re-measured quarterly, and this block stops rendering if a reading goes more than 180 days stale.
The common advice is that Google will not rank you below 4.5 stars. Across 798 ranking listings, 64% sit at 4.5 or above. Which means one in three does not. The lowest rating we recorded on a listing that was ranking was 1.0.
That cuts both ways, and the second half matters more.
A high rating does not rank you. 34% of ranking listings are already at 4.8 or better. At that density, moving from 4.7 to 4.9 buys you almost nothing in position. It buys you something in conversion, which is a different and still worthwhile argument.
A dip does not remove you. If your trailing average slides to 4.4 you are in an unglamorous minority, not out of the results. That is worth knowing before you spend a quarter panicking about a rating instead of building review volume and fixing proximity, which are what actually separate positions here.
What the rating does is decide whether someone who sees you clicks you. Treat it as a conversion number, measure it like one, and stop treating 4.5 as a cliff edge.
You will read that sponsored listings sit above every local pack and swallow the clicks. We looked for them in all 40 cities. We found 0 sponsored furniture store listings, in 0 cities. The other 40 returned none at the moment we measured.
Two honest caveats. Maps ads are an auction and they turn over through the day, so one snapshot per city tells you where ads were running that morning and not much about the rest of the week. And a small paid presence is not the same as a small paid opportunity. A thin auction is usually an argument for testing it rather than avoiding it.
89% of ranking listings use the primary category Furniture store. Nothing else comes close. If you are on Furniture store, the burden of proof for switching is high.
| Google category | Listings in our sample | Share |
|---|---|---|
| Furniture store | 710 | 89.0% |
| Office furniture store | 32 | 4.0% |
| Used furniture store | 8 | 1.0% |
| Bedroom furniture store | 7 | 0.9% |
| Antique furniture store | 5 | 0.6% |
| Mattress store | 4 | 0.5% |
| Home goods store | 4 | 0.5% |
| Furniture maker | 3 | 0.4% |
Category names are Google’s own strings, and counts are listings observed across 40 cities. A further 2 listings ranked for this query under unrelated categories. They are excluded from every figure on this page, but they are real competitors for the click.
Straight from the collection, three large metros and three mid-sized. Each name links to its Google listing so you can check any row yourself.
| Listing | City | Rank | Rating | Reviews |
|---|---|---|---|---|
| The Wayfair Store Atlanta | Atlanta | 1 | 4.3 | 659 |
| The Dump Luxe Furniture Outlet | Atlanta | 2 | 4.1 | 4,413 |
| Direct Furniture Modern Home | Atlanta | 3 | 4.9 | 359 |
| Blu Dot | Austin | 1 | 4.5 | 45 |
| west elm | Austin | 2 | 3.1 | 344 |
| Five Elements Furniture | Austin | 3 | 4.9 | 90 |
| Price Busters Discount Furniture | Baltimore | 1 | 4.8 | 6,003 |
| Seth Michael | Baltimore | 2 | 4.9 | 134 |
| Su Casa Furniture | Baltimore | 3 | 4.5 | 111 |
| National Furniture Liquidators - Albuquerque | Albuquerque | 1 | 4.6 | 444 |
| Furniture Row | Albuquerque | 2 | 4.7 | 2,105 |
| Mor Furniture for Less | Albuquerque | 3 | 4.9 | 8,902 |
| Trove Warehouse | Columbus | 1 | 4.4 | 86 |
| Signature Furniture | Columbus | 2 | 4.5 | 407 |
| The Furniture Vault | Columbus | 3 | 4.8 | 26 |
| Furniture City | Fresno | 1 | 4.3 | 2,426 |
| Mor Furniture for Less | Fresno | 2 | 4.8 | 10,250 |
| Fashion Furniture | Fresno | 3 | 4.9 | 5,306 |
Each of these is a separate discipline with its own measurement. Start with whichever gap is widest for you.
Proximity, categories and the profile fields that decide whether you appear at all. The 163-review median is the target this work is measured against.
The profile itself: hours, attributes, services, photos and the edits that quietly get reverted.
Rating is a conversion lever here, not a ranking gate. 34% of ranking listings already sit at 4.8 or better.
Getting from where you are to 163 reviews, with a monthly target per location and a realistic timeline.
Name, address and hours consistent everywhere they are published, so nothing contradicts your profile.
Rankings measured on a grid around each location, so you can see the radius you actually own.
What we actually run against the benchmarks above, rather than a generic local checklist.
| Work | Why it matters when the median is 163 reviews |
|---|---|
| Review velocity per location | Closing a gap from 50 reviews to the 163 median is a volume problem with a timeline attached. We set a monthly target per location from its own gap and track against it, not against a group average that hides your weakest site. |
| Rating as a conversion metric | Rating does not gate ranking in this category, so we stop reporting it as a ranking risk and start reporting it against calls and direction requests, where it actually moves. 64% of ranking listings are at 4.5 or above, which means the floor is softer than you have been told. |
| Category and attribute governance | Primary category, hours, attributes, services and the booking link. These are the fields customers filter on, and the ones that drift when staff edit profiles or Google accepts a third-party correction. |
| Proximity grid tracking | Rankings measured on a grid around each location. In a category where a quarter of mid-sized-city listings rank on 62 reviews or fewer, proximity is doing more of the work than volume, and a city-level number hides that entirely. |
| Duplicate and suspension watch | Duplicate profiles split your reviews between two half-dead listings. Suspensions in regulated categories are slow to reverse. Both are cheaper to prevent than to fix, and both are invisible until someone is watching for them. |
| Benchmarks refreshed quarterly | Every figure on this page is re-measured across 40 cities each quarter. Your targets move when the market moves, rather than when someone remembers to update a slide. |
Review count against 163, for each location separately. Group averages hide the one site dragging the network down, and in a multi-site group the spread between your best and worst location is usually wider than the spread between cities.
Category, hours, attributes, booking link. This is the cheapest work and the only part that moves in days rather than months. 96% of ranking listings are claimed, so an unclaimed profile is a genuine outlier.
A location 113 reviews below the median needs roughly six to nine months at a realistic request rate. Anyone quoting six weeks is either buying reviews or measuring something else, and bought reviews are a suspension risk.
City-level rank is too coarse to attribute results to. Set the grid baseline first or you will not know what worked, and you will spend the next quarter arguing about it.
The median ranking listing across 40 US cities carries 163, with the middle half between 50 and 602. That spread is the real answer: there is no single threshold. A quarter of everything that ranks does so on under 50 reviews.
In a smaller city, often yes. One in ten listings holding a top-three spot in a mid-sized city has 30 reviews or fewer. In a large metro that figure is 45. The mechanism is proximity rather than volume, and grid tracking will tell you which radius you already own.
Lower than you have been told. 64% of ranking listings sit at 4.5 or above, which means one in three does not, and the lowest we recorded was 1.0. Rating is not a ranking gate in this category. It decides who clicks you, not whether you appear.
710 of 798 ranking listings use Furniture store, and 32 use Office furniture store. It is the default and switching away from it needs a real reason rather than a hunch about intent.
Profile and category work shows within days to a few weeks. Review volume is the slow part and it sets your ceiling. Faster quotes usually mean bought reviews, which is a suspension risk, or a different metric being reported.
Quarterly, across the same 40 cities, with the same query and the same depth. This block stops rendering if a reading goes more than 180 days stale, so a number here is never older than two quarters. Where a figure changed from a previous version it changed because the measurement changed, and we say so.
The free audit reads your live Google profile and puts your review count and rating against the 40-city benchmark for your category.