There are 106 LaborMax Staffing locations in the United States of America as of February 16, 2026. The state or territory with the most LaborMax Staffing locations is California, with 13 sites, accounting for roughly 12.3% of the total.


LaborMax Staffing operates 106 United States of America locations across 31 states. Largest clusters are in California, Colorado, and Texas; the top 10 states contain 71.7% of sites. Coverage is thinner in SouthDakota, Tennessee, and Wisconsin.

LaborMax Staffing shows strong visitor engagement: 9 locations are above the mean traffic score (mean: 34.44) and 2 qualify as highly visited.
LaborMax Staffing operates 106 locations across the United States, with California hosting the highest number at 13 (12.3% of total). Colorado and Texas each have 11 locations, together accounting for 33% of the brand's presence. The top 10 states represent 71.7% of all locations, with Nevada, Colorado, and Kansas offering the best access based on population per location. Conversely, Pennsylvania, Illinois, and Michigan are the most stretched states, each with over 10 million people per location.
Locations concentrate around major metros such as Clark, Maricopa, Fresno, Bexar, and Alameda. The top 10 cities account for 21.7% of U.S. sites.

LaborMax Staffing operates 106 locations across the United States, with the top 10 cities accounting for 21.7% of these. Clark (Nevada), Maricopa (Arizona), and Fresno (California) each have the highest city location count at 3. Several other cities, including Bexar (Texas) and Alameda (California), have 2 locations each.
Street-level clusters show corridors where multiple LaborMax Staffing locations sit within the same neighborhood indicating strong local presence and coherence. LaborMax Staffing operates a total of 106 nationwide.

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

LaborMax Staffing has 106 locations across the United States of America. The key variables shows the most infleuntial aspects for LaborMax Staffing locations nationwide. This provides a closer look of how LaborMax Staffing is operating from different prespectives.

LaborMax Staffing operates in several U.S. states with varying land areas. Texas is the largest state served, spanning 695,668 km² with 11 locations, while Ohio is the smallest at 116,098 km² with 8 locations. California has the highest number of locations at 13, covering 423,965 km². Other states like Colorado and Florida also feature prominently with sizable areas and multiple locations.

LaborMax Staffing operates across multiple U.S. states with varying business statuses. Nevada leads with 100% of its 6 locations open, while Oregon has the lowest open rate at 25%, with only 1 of 4 locations open. California has the highest number of open locations at 11 out of 13, representing 84.6% open. Texas shows a near-even split with 6 open and 5 closed locations out of 11 total.
This view compares activity near LaborMax Staffing locations across states. Using traffic scores observed around 106 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.

LaborMax Staffing's busiest locations in the United States show Kansas with the highest busy share at 20.0% (1 out of 5 total). Colorado follows with 18.2% busy locations, having 2 busy out of 11 total. Texas and Nevada have lower busy shares of 9.1% and 16.7%, respectively, while several states including California, Florida, and Ohio report no busy locations.
This section summarizes customer sentiment toward LaborMax Staffing. Using ratings and review totals from 106 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.

LaborMax Staffing's highest average rating is in Kansas at 4.5, followed by Ohio with 4.4 and Colorado with 4.3. Florida and Oregon both have average ratings of 4.2. Colorado leads in review volume with 799, followed by Ohio with 665 and Nevada with 426 reviews.
LaborMax Staffing's highest average ratings are in Kansas (4.5), Ohio (4.4), and Colorado (4.3). Colorado leads in total reviews with 799, followed by Ohio with 665 and Nevada with 426. Florida appears in both top average ratings (4.2) and review counts (356), indicating strong engagement. Texas ranks fourth in reviews with 368 but does not appear among the top states by average rating.

LaborMax Staffing achieved full phone coverage across all its locations in the United States, with 100% of sites having phone access in each state listed. California leads with 13 locations, followed by Colorado and Texas with 11 each. Other states like Florida, Ohio, and Nevada have between 6 and 8 locations, all with complete phone coverage.
LaborMax Staffing 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.