Flower Shops in the United States — the numbers
We maintain 35,995 shops across the country. Below is what that looks like by state: raw count, count per 100,000 residents, and how complete the listings are. Updated October 2026.
Free to use. Quote any number here, in print or online, as long as
you credit FlowerShopAtlas — a link is welcome, followed or nofollow, your choice. Journalists: if you need
a cut we don't show — a single metro, a longer time range — write to
contact@flowershopatlas.com and you'll get it the
same day. Full CSVs for this and our other categories:
download the
dataset on GitHub (CC BY 4.0).
Download the numbers. Two files, no sign-up, CC BY 4.0 —
credit FlowerShopAtlas and use them anywhere (a link is welcome, followed or nofollow):
flowershop_states.csv
(one row per state: count, per 100,000 residents, share with a website, phone and hours)
· flowershop_cities.csv
(every city with three or more flower shops). Updated October 2026.
Density: flower shops per 100,000 residents
Population is the 2020 Census count. Density says more than a raw count: Vermont has 15.7 per 100,000 — 2.4× the rate of Arizona.
| State | Flower Shops | Per 100k | With a website | With a phone |
|---|---|---|---|---|
| Alabama | 654 | 13 | 56% | 97% |
| Alaska | 66 | 9 | 67% | 98% |
| Arizona | 465 | 6.5 | 64% | 98% |
| Arkansas | 432 | 14.3 | 59% | 99% |
| California | 4317 | 10.9 | 64% | 98% |
| Colorado | 524 | 9.1 | 68% | 98% |
| Connecticut | 416 | 11.5 | 74% | 98% |
| Delaware | 74 | 7.5 | 76% | 99% |
| Florida | 2523 | 11.7 | 66% | 99% |
| Georgia | 1062 | 9.9 | 65% | 98% |
| Hawaii | 168 | 11.5 | 74% | 99% |
| Idaho | 179 | 9.7 | 68% | 98% |
| Illinois | 1459 | 11.4 | 65% | 98% |
| Indiana | 689 | 10.2 | 65% | 97% |
| Iowa | 449 | 14.1 | 65% | 98% |
| Kansas | 333 | 11.3 | 62% | 98% |
| Kentucky | 638 | 14.2 | 57% | 97% |
| Louisiana | 523 | 11.2 | 64% | 98% |
| Maine | 198 | 14.5 | 66% | 96% |
| Maryland | 506 | 8.2 | 70% | 98% |
| Massachusetts | 838 | 11.9 | 71% | 98% |
| Michigan | 1010 | 10 | 67% | 96% |
| Minnesota | 596 | 10.4 | 69% | 97% |
| Mississippi | 438 | 14.8 | 58% | 98% |
| Missouri | 712 | 11.6 | 63% | 98% |
| Montana | 151 | 13.9 | 67% | 99% |
| Nebraska | 245 | 12.5 | 69% | 99% |
| Nevada | 264 | 8.5 | 66% | 98% |
| New Hampshire | 175 | 12.7 | 70% | 97% |
| New Jersey | 1094 | 11.8 | 71% | 99% |
| New Mexico | 185 | 8.7 | 64% | 97% |
| New York | 2435 | 12.1 | 63% | 97% |
| North Carolina | 1130 | 10.8 | 63% | 98% |
| North Dakota | 108 | 13.9 | 61% | 98% |
| Ohio | 1189 | 10.1 | 66% | 97% |
| Oklahoma | 564 | 14.2 | 61% | 98% |
| Oregon | 419 | 9.9 | 73% | 98% |
| Pennsylvania | 1434 | 11 | 65% | 97% |
| Rhode Island | 120 | 10.9 | 69% | 98% |
| South Carolina | 557 | 10.9 | 63% | 98% |
| South Dakota | 131 | 14.8 | 64% | 98% |
| Tennessee | 756 | 10.9 | 66% | 97% |
| Texas | 2881 | 9.9 | 64% | 98% |
| Utah | 283 | 8.6 | 72% | 98% |
| Vermont | 101 | 15.7 | 67% | 96% |
| Virginia | 803 | 9.3 | 69% | 98% |
| Washington | 645 | 8.4 | 69% | 98% |
| Washington DC | 70 | 10.1 | 73% | 94% |
| West Virginia | 253 | 14.1 | 50% | 98% |
| Wisconsin | 653 | 11.1 | 67% | 98% |
| Wyoming | 80 | 13.9 | 59% | 99% |
Cities with the most flower shops
| City | State | Flower Shops |
|---|---|---|
| New York | New York | 561 |
| Los Angeles | California | 508 |
| Miami | Florida | 331 |
| Chicago | Illinois | 322 |
| Houston | Texas | 288 |
| Brooklyn | New York | 224 |
| San Francisco | California | 163 |
| San Diego | California | 160 |
| San Antonio | Texas | 152 |
| Las Vegas | Nevada | 151 |
| Dallas | Texas | 149 |
| Philadelphia | Pennsylvania | 127 |
| Orlando | Florida | 114 |
| Phoenix | Arizona | 113 |
| San Jose | California | 109 |
| Denver | Colorado | 107 |
| Atlanta | Georgia | 104 |
| Portland | Oregon | 99 |
| Seattle | Washington | 94 |
| Austin | Texas | 91 |
| Doral | Florida | 90 |
| Tampa | Florida | 88 |
| El Paso | Texas | 85 |
| Indianapolis | Indiana | 79 |
| Nashville | Tennessee | 79 |
How this is built
Locations come from Overture Maps (open data), filtered to flower shops in the US and cleaned: duplicates merged, dead entries dropped, phone numbers normalized. Websites, opening hours and amenities are checked against each business's own site. We keep monthly snapshots, so the counts above are a point in time, not a running total — ask if you need an earlier one.