There are 23 Shilo Inns locations in the United States of America as of January 26, 2026. The state or territory with the most Shilo Inns locations is Oregon, with 10 sites, accounting for roughly 43.5% of the total.


Shilo Inns operates 23 United States of America locations across 10 states. Largest clusters are in Oregon, Idaho, and California; the top 10 states contain 100.0% of sites. Coverage is thinner in Texas, Utah, and Wyoming.

Locations concentrate around major metros such as Clatsop, Bell, Bonneville, Canyon, and Deschutes. The top 10 cities account for 47.8% of U.S. sites.

Street-level clusters show corridors where multiple Shilo Inns locations sit within the same neighborhood indicating strong local presence and coherence. Shilo Inns operates a total of 23 nationwide.

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

Shilo Inns has 23 locations across the United States of America. The key variables shows the most infleuntial aspects for Shilo Inns locations nationwide. This provides a closer look of how Shilo Inns is operating from different prespectives.

The table summarizes land area for the top states by location count.

This section summarizes customer sentiment toward Shilo Inns. Using ratings and review totals from 23 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.


Shilo Inns 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.