There are 88 Cornell & Associates locations in the United States of America as of February 16, 2026. The state or territory with the most Cornell & Associates locations is Washington, with 87 sites, accounting for roughly 98.9% of the total.


Cornell & Associates operates 88 United States of America locations across 2 states. Largest clusters are in Washington and Oregon; the top 10 states contain 100.0% of sites. Coverage is thinner in Washington and Oregon.

Cornell & Associates operates 88 locations in the United States, with 98.9% (87 locations) situated in Washington. Oregon has a single location, representing 1.1% of the total, but serves a much larger population per location at 4,229,374 compared to Washington's 88,374. The top three and top ten states both account for 100% of the brand's locations. Washington offers the best access in terms of population per location, while Oregon is the most stretched state.
Locations concentrate around major metros such as King, Snohomish, and Jefferson. The top 10 cities account for 100.0% of U.S. sites.

Cornell & Associates operates a total of 88 locations in the United States, with the vast majority concentrated in King, Washington, which has 84 locations. Snohomish, Washington, follows with 3 locations, and Jefferson, Oregon, has 1 location. All locations are within the top three cities, representing 100% of the brand's presence.
Street-level clusters show corridors where multiple Cornell & Associates locations sit within the same neighborhood indicating strong local presence and coherence. Cornell & Associates operates a total of 88 nationwide.

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

Cornell & Associates has 88 locations across the United States of America. The key variables shows the most infleuntial aspects for Cornell & Associates locations nationwide. This provides a closer look of how Cornell & Associates is operating from different prespectives.

Cornell & Associates' data for the United States of America shows Oregon as the largest state by land area at approximately 254,799 km², while Washington is the smallest at about 184,668 km². Washington has 87 locations, significantly more than Oregon's single location.

Cornell & Associates operates primarily in Washington and Oregon within the United States. In Washington, 98.9% of their 87 locations remain open, with only one closed. Oregon has a single location, which is currently open, reflecting a 100% open status.
This section summarizes customer sentiment toward Cornell & Associates. Using ratings and review totals from 88 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.

Cornell & Associates has the highest average rating in Oregon at 4.0, followed by Washington with an average of 3.5. Washington also leads in the number of reviews, totaling 413, while Oregon has 12 reviews. These two states represent the top ratings and review counts for the brand in the United States.
Cornell & Associates received the highest number of reviews in Washington with 413, followed by Oregon with 12 reviews. Oregon had the highest average rating at 4.0, while Washington's average rating was 3.5. These two states lead in both review count and average rating for the brand in the United States.

Cornell & Associates provides complete phone coverage in Washington and Oregon, with 100% of locations having phones. Washington has 87 locations all covered, while Oregon has a single location fully covered.
Cornell & Associates 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.