There are 22 INEOS locations in the United States of America as of April 18, 2026. The state or territory with the most INEOS locations is Texas, with 12 sites, accounting for roughly 54.5% of the total.


INEOS operates 22 United States of America locations across 6 states. Largest clusters are in Texas, Ohio, and Illinois; the top 10 states contain 100.0% of sites. Coverage is thinner in California, Louisiana, and SouthCarolina.

INEOS operates 22 locations across the United States, with Texas hosting the majority at 12 sites, accounting for 54.5% of the total. Ohio follows with 5 locations (22.7%), and Illinois has 2 locations (9.1%), together comprising 86.4% of all locations. California, Louisiana, and South Carolina each have a single location, with California showing the highest population per location at 39,356,104, indicating more stretched access compared to Ohio and Texas.
Locations concentrate around major metros such as Harris, Brazoria, Ashtabula, Will, and Berkeley. The top 10 cities account for 95.5% of U.S. sites.

INEOS operates 22 locations across the United States, with 95.5% of these concentrated in the top 10 cities. Harris, Texas, leads with 6 locations, followed by Brazoria, Texas, with 4, and Ashtabula, Ohio, with 3. The remaining top cities each have between 1 and 2 locations, highlighting a strong presence in Texas and Ohio.
Street-level clusters show corridors where multiple INEOS locations sit within the same neighborhood indicating strong local presence and coherence. INEOS operates a total of 22 nationwide.

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

INEOS has 22 locations across the United States of America. The key variables shows the most infleuntial aspects for INEOS locations nationwide. This provides a closer look of how INEOS is operating from different prespectives.

INEOS has the largest state land area in Texas, covering approximately 695,668 km² with 12 locations. Illinois and California follow, with areas of about 149,995 km² and 423,965 km², respectively. Ohio has the smallest land area among the listed states at roughly 116,098 km², hosting 5 locations. South Carolina's land area data is unavailable despite having one location.

INEOS has the highest number of open locations in Texas, with 10 out of 12 sites open, representing 83.3% operational. Ohio follows with 4 open locations and no closures, maintaining an 80% open rate. Illinois and South Carolina both show 100% open status, with 2 and 1 locations respectively. Louisiana and California each have one location but currently report no open sites.
This section summarizes customer sentiment toward INEOS. Using ratings and review totals from 22 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.

In the United States, INEOS received its highest average rating of 5.0 in California, followed by South Carolina at 4.2. Louisiana and Texas both had an average rating of 4.0, while Illinois rated lower at 3.4. Ohio led in review count with 86, surpassing Texas with 72 reviews, despite Texas having a higher average rating.
INEOS received the highest average rating in California with a perfect score of 5.0, followed by South Carolina at 4.2 and Louisiana and Texas both at 4.0. Ohio led in total reviews with 86, while Texas had 72 and Louisiana 26 reviews. Illinois and South Carolina had fewer reviews, with 15 and 5 respectively.

INEOS achieves full phone coverage in all listed states across the United States. Texas leads with 12 out of 12 locations covered, followed by Ohio with 5 out of 5. Illinois, California, Louisiana, and South Carolina each have 100% coverage with fewer locations, ranging from 1 to 2.
INEOS 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.