There are 11 Java House locations in the United States of America as of December 19, 2025. The state or territory with the most Java House locations is Indiana, with 11 sites, accounting for roughly 100.0% of the total.


Java House operates 11 United States of America locations across 1 states. Largest clusters are in Indiana; the top 10 states contain 100.0% of sites. Coverage is thinner in Indiana.

Java House shows strong visitor engagement: 5 locations are above the mean traffic score (mean: 44.66) and 0 qualify as highly visited.
Java House has a total of 11 locations in the United States, all of which are situated in Indiana. This state accounts for 100% of the brand's locations, with a population of approximately 616,764 people served per location. Indiana represents both the best access and most stretched area for Java House.
Locations concentrate around major metros such as Tippecanoe, Hamilton, Marion, and Boone. The top 10 cities account for 100.0% of U.S. sites.

Java House operates 11 locations in the United States, all concentrated in Indiana. Tippecanoe leads with 4 locations, followed by Hamilton and Marion, each with 3. Boone has a single location, and the top 10 cities account for 100% of the brand's presence.
Street-level clusters show corridors where multiple Java House locations sit within the same neighborhood indicating strong local presence and coherence. Java House operates a total of 11 nationwide.

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

Java House has 11 locations across the United States of America. The key variables shows the most infleuntial aspects for Java House locations nationwide. This provides a closer look of how Java House is operating from different prespectives.

Java House has 11 locations in Indiana, which is the only state listed in the United States of America for this brand. Indiana covers an area of approximately 94,331 km², making it both the largest and smallest state by land area in this dataset.

Java House operates 11 locations in Indiana, United States, all of which remain open. The brand has maintained a 100% open status with no closures reported in this state.
This view compares activity near Java House locations across states. Using traffic scores observed around 11 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.

Java House's busiest locations in the United States are concentrated in Indiana, where 2 out of 11 locations, or 18.2%, are classified as busy. This represents the only state data provided for the brand.
This section summarizes customer sentiment toward Java House. Using ratings and review totals from 11 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.

Java House's highest average rating in the United States of America is 4.4, recorded in Indiana. Indiana also leads in the number of reviews, with a total of 2,062.
Java House received the highest number of reviews in Indiana, totaling 2,062. Indiana also recorded the top average rating for the brand, with a score of 4.4.

Java House has complete phone coverage in Indiana, with all 11 locations equipped with phones. This represents 100% phone availability for the brand in that state.
Java House 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.