There are 91 Shop 'n Save locations in the United States of America as of December 16, 2025. The state or territory with the most Shop 'n Save locations is Pennsylvania, with 54 sites, accounting for roughly 59.3% of the total.


Shop 'n Save operates 91 United States of America locations across 10 states. Largest clusters are in Pennsylvania, West Virginia, and Ohio, and Virginia.New York; the top 10 states contain 100.0% of sites. Coverage is thinner in Michigan,

Shop 'n Save shows strong visitor engagement: 37 locations are above the mean traffic score (mean: 59.08) and 11 qualify as highly visited.
Shop 'n Save operates 91 locations across the United States, with Pennsylvania hosting the majority at 54 stores (59.3% of total). West Virginia and New York follow with 19 (20.9%) and 4 (4.4%) locations respectively, together making up 84.6% of all stores. West Virginia offers the best access with one store per 94,367 people, while California, Ohio, and Michigan are the most stretched markets, each with over 10 million people per location. The top 10 states account for all Shop 'n Save locations nationwide.
Locations concentrate around major metros such as Allegheny, Westmoreland, Fayette, Garrett, and Preston. The top 10 cities account for 58.2% of U.S. sites.

Shop 'n Save operates 91 locations across the United States, with 58.2% concentrated in its top 10 cities. Allegheny, Pennsylvania, leads with 24 stores, followed by Westmoreland, Pennsylvania, with 9 locations. Several other cities, primarily in Pennsylvania and nearby states, have between 2 and 3 stores each.
Street-level clusters show corridors where multiple Shop 'n Save locations sit within the same neighborhood indicating strong local presence and coherence. Shop 'n Save operates a total of 91 nationwide.

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

Shop 'n Save has 91 United States of America. The key variables shows the most infleuntial aspects for Shop 'n Save locations nationwide. This provides a closer look of how Shop 'n Save is operating from different prespectives.locations across the

Shop 'n Save locations in the United States are spread across states with varying land areas. Pennsylvania has the highest number of locations at 54 within an area of 119,279 km², while Texas, the largest state by area at 695,668 km², hosts only 4 locations. Maryland is the smallest state listed, covering 32,131 km² with 3 Shop 'n Save locations. Other states like West Virginia and New York have moderate land areas with 19 and 4 locations respectively.

Shop 'n Save operates 54 locations in Pennsylvania, with 81.5% currently open, the highest total store count among the states listed. California and Ohio both have a 100% open rate, with 3 and 1 stores respectively. Texas has the lowest open percentage at 25%, with only 1 store open out of 4. Several states, including Michigan, Virginia, and Colorado, have all their Shop 'n Save locations closed.
This view compares activity near Shop 'n Save locations across states. Using traffic scores observed around 91 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.

Shop 'n Save's busiest locations in the United States are primarily in Pennsylvania, with 11 out of 54 stores (20.4%) classified as busy. California and Maryland have the highest busy location percentages at 33.3%, though each has only 3 total stores. Texas and New York each have 25.0% of their stores busy, while West Virginia reports 21.1%. Several states, including Colorado, Michigan, Ohio, and Virginia, have no busy locations among their single stores.
This section summarizes customer sentiment toward Shop 'n Save. Using ratings and review totals from 91 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.

Shop 'n Save's highest average rating is in Ohio with a perfect 5.0, followed by Michigan at 4.3 and New York at 4.2. Pennsylvania leads in review volume, accumulating 30,315 reviews, far surpassing other states. West Virginia, Maryland, Michigan, and New York also contribute notable review counts, ranging from 806 to 5,036.
Shop 'n Save's highest average rating is in Ohio, with a perfect score of 5.0, followed by Michigan at 4.3 and New York at 4.2. Pennsylvania leads in total reviews, amassing 30,315, significantly more than the second-ranked West Virginia with 5,036 reviews. Maryland, Michigan, and New York also contribute notable review counts, ranging from 806 to 1,239.

Shop 'n Save has full phone coverage in all its stores across ten states in the United States. Pennsylvania leads with 54 stores, all equipped with phones, followed by West Virginia with 19 stores at 100% coverage. Other states like New York, Texas, California, and Maryland have smaller store counts ranging from 1 to 4, each also maintaining complete phone coverage.
Shop 'n Save 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.