There are 3,223 Smart Start locations in the United States of America as of February 15, 2026. The state or territory with the most Smart Start locations is Florida, with 305 sites, accounting for roughly 9.5% of the total.


Smart Start operates 3,223 United States of America locations across 49 states. Largest clusters are in Florida, Texas, and California; the top 10 states contain 57.0% of sites. Coverage is thinner in Maine, Montana, and DistrictofColumbia.

Smart Start shows strong visitor engagement: 32 locations are above the mean traffic score (mean: 42.39) and 14 qualify as highly visited.
Smart Start operates 3,223 locations across the United States, with Florida leading at 305 locations (9.5% share) followed by Texas and California with 283 (8.8%) and 254 (7.9%) respectively. The top three states account for 26.1% of all locations, while the top ten encompass 57.0%. Arkansas, Kansas, and Colorado offer the best access with the lowest population per location, whereas Ohio, Idaho, and Utah are the most stretched, each having over 400,000 people per location.
Locations concentrate around major metros such as Miami-Dade, Maricopa, Broward, LosAngeles, and Cook. The top 10 cities account for 14.7% of U.S. sites.

Smart Start has a total of 3,223 locations in the United States, with the top 10 cities accounting for 14.7% of all sites. Miami-Dade, Florida leads with 84 locations, followed by Maricopa, Arizona with 70 and Broward, Florida with 64. California cities such as Los Angeles, Riverside, and San Bernardino collectively contribute over 100 locations.
Street-level clusters show corridors where multiple Smart Start locations sit within the same neighborhood indicating strong local presence and coherence. Smart Start operates a total of 3223 nationwide.

The complete dataset of Smart Start locations across the United States of America is available for download, including coordinates, traffic patterns, and operational status.

Smart Start has 3223 locations across the United States of America. The key variables shows the most infleuntial aspects for Smart Start locations nationwide. This provides a closer look of how Smart Start is operating from different prespectives.

Smart Start's data for the United States highlights Texas as the largest state by land area at approximately 695,668 km², while Maryland is the smallest with about 32,131 km². Florida has the highest number of locations at 305, despite being smaller in area than Texas and California. Notably, New York's land area data is unavailable, with 125 locations recorded.

In the United States, Smart Start has the highest number of open locations in Florida with 252 out of 305 total, representing an 82.6% open rate. Texas follows with 215 open sites and a 76.0% open percentage. Pennsylvania shows the lowest open rate at 60.8% with 118 locations open out of 194. New York also has a relatively low open percentage of 53.6%, with 67 open locations out of 125.
This view compares activity near Smart Start locations across states. Using traffic scores observed around 3,223 sites, it highlights the busiest markets, states with a high share of above-average locations, and areas where activity is comparatively light. Use it to benchmark performance, prioritize field operations, and spot expansion or optimization opportunities.

Smart Start's busiest locations in the United States are primarily in Texas, with 3 busy sites representing 1.1% of its 283 total locations there. Other states such as Colorado, Arizona, Maryland, Florida, and Missouri each have 1 busy location, with percentages ranging from 0.3% in Florida to 0.9% in Missouri. Notably, Illinois, California, New York, and Pennsylvania have no busy locations despite having substantial total site counts.
This section summarizes customer sentiment toward Smart Start. Using ratings and review totals from 3,223 locations, we highlight where scores are consistently high and where feedback volume is greatest. Average star ratings reflect perceived quality, while total reviews indicate engagement and reach across the network.

For the brand Smart Start in the United States, Florida and Pennsylvania lead with the highest average ratings of 4.1. Illinois follows closely with an average rating of 4.0, while New York and Texas both have ratings of 3.8. Texas has the largest number of reviews at 3,997, significantly more than the next highest, Colorado, with 1,336 reviews.
Smart Start's highest average ratings are in Florida and Pennsylvania, both at 4.1, followed by Illinois at 4.0. Texas and New York have slightly lower average ratings of 3.8. Texas leads in total reviews with 3,997, significantly ahead of Colorado's 1,336 and Arizona's 572. Florida and Pennsylvania have fewer reviews, with 246 and 231 respectively.

Smart Start achieved complete phone coverage in all listed states across the United States, with 100% of individuals having phones. Florida led with 305 covered individuals, followed by Texas at 283 and California at 254. Each of the ten states reported full phone access among their populations in the data.
Smart Start POI data enables clear measurement of footprint and demand. Analysts can rank states and cities by location count, compare coverage on a per-capita basis, and use traffic scores and review volumes to spot high-performing markets and under-served pockets. The result is an objective view of saturation, growth opportunities, and performance outliers.
For network planning, the data supports scoring candidate trade areas using location density, population per location, and nearby traffic intensity. Teams can evaluate cannibalization risk via nearest-store distance, surface whitespace along key corridors, and prioritize sites near retail anchors, campuses, or transit where observed activity is strongest.
Planners can map clusters and service gaps to understand commercial access at the neighborhood level. Per-capita coverage highlights communities with limited access, while changes in openings or closures signal shifts in activity. These insights inform corridor revitalization, streetscape and transit planning, and data-driven zoning decisions.