There are 14 Sofive locations in the United States of America as of January 12, 2026. The state or territory with the most Sofive locations is California, with 6 sites, accounting for roughly 42.9% of the total.


Sofive operates 14 United States of America locations across 7 states. Largest clusters are in California, Illinois, and Maryland; the top 10 states contain 100.0% of sites. Coverage is thinner in NewJersey, NewYork, and Pennsylvania.

Sofive shows strong visitor engagement: 8 locations are above the mean traffic score (mean: 27.93) and 2 qualify as highly visited.
Sofive operates 14 locations across the United States, with California hosting the largest share at 42.9% (6 locations). Illinois and Maryland each have 2 locations, contributing 14.3% apiece, together with California accounting for 71.4% of all locations. Maryland offers the best access with the lowest population per location at about 3.1 million, while Florida is the most stretched, serving over 21.6 million people per location. All locations are within the top 10 states, covering 100% of Sofive's U.S. presence.
Locations concentrate around major metros such as LosAngeles, Cook, SanBernardino, Alameda, and Bergen. The top 10 cities account for 100.0% of U.S. sites.

Sofive operates 14 locations across the United States, with all sites concentrated in the top 10 cities listed. Los Angeles, California, leads with 3 locations, followed by Cook, Illinois, and San Bernardino, California, each hosting 2 locations. The remaining cities, including Alameda, Bergen, and Montgomery (in two states), each have a single location, accounting for 100% of the brand's U.S. presence.
Street-level clusters show corridors where multiple Sofive locations sit within the same neighborhood indicating strong local presence and coherence. Sofive operates a total of 14 nationwide.

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

Sofive has 14 locations across the United States of America. The key variables shows the most infleuntial aspects for Sofive locations nationwide. This provides a closer look of how Sofive is operating from different prespectives.

Sofive's data for the United States shows California as the state with the largest land area at approximately 423,965 km² and six locations. Maryland has the smallest recorded area among the listed states at about 32,131 km² with two locations. Other states like Illinois and Florida have areas of roughly 150,000 km² and 185,000 km² respectively, with fewer locations. Some states, including New Jersey and New York, have location counts but no area data available.

Sofive operates exclusively open businesses across seven states in the United States, with a total of 14 locations. California leads with six open sites, followed by Maryland and Illinois with two each. All states, including Pennsylvania, New York, New Jersey, and Florida, report 100% open status with no closures.
This view compares activity near Sofive locations across states. Using traffic scores observed around 14 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.

Sofive's busiest locations in the United States show notable variation by state. California has the highest number of busy sites with 2 out of 6 locations active, representing 33.3%. Several states, including Florida, New Jersey, New York, and Pennsylvania, each have a single location that is busy, accounting for 100% of their total sites. Illinois and Maryland both have 50% of their locations marked as busy, with one busy site out of two total in each state.
This section summarizes customer sentiment toward Sofive. Using ratings and review totals from 14 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.

Sofive's highest average ratings in the United States are in California and New Jersey, both scoring 4.8. Illinois, New York, and Pennsylvania follow with average ratings of 4.6 each. California also leads in review volume with 4,388 reviews, significantly more than New Jersey's 1,881 and New York's 998.
Sofive's highest average ratings in the United States are 4.8 in California and New Jersey, followed by 4.6 in Illinois, New York, and Pennsylvania. California leads in total reviews with 4,388, more than double New Jersey's 1,881 reviews. New York, Illinois, and Pennsylvania have 998, 828, and 779 reviews respectively.

Sofive achieves full phone coverage in all listed states across the United States. California leads with 6 phones, while Illinois and Maryland each have 2. Florida, New Jersey, New York, and Pennsylvania each report complete coverage with 1 phone. Every state shows 100% phone presence relative to their totals.
Sofive 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.