There are 37 APL Logistics locations in the United States of America as of January 26, 2026. The state or territory with the most APL Logistics locations is Illinois, with 7 sites, accounting for roughly 18.9% of the total.


APL Logistics operates 37 United States of America locations across 16 states. Largest clusters are in Illinois, Texas, and Georgia; the top 10 states contain 83.8% of sites. Coverage is thinner in Kentucky, Maryland, and Virginia.

APL Logistics shows strong visitor engagement: 3 locations are above the mean traffic score (mean: 47.98) and 1 qualify as highly visited.
APL Logistics operates 37 locations across the United States, with Illinois hosting the highest count at 7 locations (18.9%). The top three states—Illinois, Texas, and Georgia—account for 43.2% of all locations. Alaska has the best population access per location at 734,821, while Florida is the most stretched with over 21.6 million people per location. The top 10 states collectively hold 83.8% of APL Logistics' locations.
Locations concentrate around major metros such as Will, Dallas, Douglas, Maricopa, and Cook. The top 10 cities account for 43.2% of U.S. sites.

APL Logistics operates 37 locations across the United States, with the top 10 cities accounting for 43.2% of these sites. Will, Illinois, leads with 3 locations, followed by Dallas, Texas; Douglas, Georgia; Maricopa, Arizona; and Cook, Illinois, each hosting 2 locations. Several other cities, including Bullitt, Kentucky, and Chesterfield, Virginia, have a single location.
Street-level clusters show corridors where multiple APL Logistics locations sit within the same neighborhood indicating strong local presence and coherence. APL Logistics operates a total of 37 nationwide.

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

APL Logistics has 37 locations across the United States of America. The key variables shows the most infleuntial aspects for APL Logistics locations nationwide. This provides a closer look of how APL Logistics is operating from different prespectives.

APL Logistics operates in several U.S. states with varying land areas. Alaska is the largest state served, covering 1,724,219.54 km² with one location, while Illinois is the smallest at 149,995.06 km² but hosts the highest number of locations at seven. Texas, Georgia, and California also feature prominently, with Texas spanning 695,668.37 km² and five locations. Some states like New Jersey, North Carolina, and South Carolina have location counts but lack area data.

APL Logistics operates a total of 31 locations across 10 U.S. states, with Illinois having the highest number at 7 sites, 71.4% of which remain open. Texas and Georgia show strong open rates of 80.0% and 75.0%, respectively, while California, South Carolina, Michigan, and Arizona report a full 100% open status. Maryland is the only state with a closed location and no open sites. North Carolina has an equal split between open and closed businesses.
This view compares activity near APL Logistics locations across states. Using traffic scores observed around 37 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.

APL Logistics has busy locations in four U.S. states, with South Carolina showing the highest proportion at 50% (1 busy out of 2 total locations). Georgia follows with 25% busy locations (1 of 4), Texas at 20% (1 of 5), and Illinois at 14.3% (1 of 7). Six other states, including California and New Jersey, have no busy locations among their total sites.
This section summarizes customer sentiment toward APL Logistics. Using ratings and review totals from 37 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.

APL Logistics has the highest average rating of 5.0 in Maryland, followed by South Carolina with 4.6 and Michigan with 4.3. North Carolina and Arizona have average ratings of 4.0 and 3.8, respectively. Georgia leads in review volume with 420 reviews, while Illinois and Texas have 238 and 163 reviews, respectively. South Carolina and California also contribute notable review counts with 92 and 69 reviews.
APL Logistics received the highest average rating in Maryland with a perfect score of 5.0, followed by South Carolina at 4.6 and Michigan at 4.3. Georgia led in total reviews with 420, significantly surpassing Illinois with 238 and Texas with 163. South Carolina and California also contributed notable review counts, with 92 and 69 respectively.

APL Logistics has complete phone coverage across all its locations in the United States, with each of the 33 total sites having phone access. Illinois leads with 7 locations, followed by Texas with 5 and Georgia with 4, all maintaining 100% phone coverage. Other states such as California, New Jersey, and Arizona also show full phone availability at their respective sites.
APL Logistics 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.