Industry overview
Logistics expansion decisions depend on more than one headline metric. A company needs to know whether a county has the right workforce, customer access, supplier base, real estate conditions, wage structure, and public-sector environment. LocalEconomyData scores counties for this industry using a structured industry-fit value, but the score is best understood as a screening tool that helps users decide where to investigate first.
In the DC, Maryland, and Virginia region, county choice can change the economics and risk profile of the same company. A close-in county may offer better client access and executive talent but higher wages and real estate costs. An outer county may offer more space and cost flexibility but require a stronger recruiting and commute strategy. This guide explains which counties rank well, why they rank well, and what tradeoffs businesses should validate before choosing a location.
What matters for Logistics
For Logistics, the most important questions are whether the county can support specialized hiring, whether the cost structure fits the business model, whether customers or partners are reachable, and whether the county's existing industry base creates practical advantages. A score can highlight likely fit, but a company should still confirm occupation-level labor data, facility availability, permitting timelines, infrastructure capacity, and incentives.
Companies should also look at resilience. Counties with only one advantage can be fragile if costs rise or a single customer relationship changes. Stronger expansion markets tend to combine several advantages: workforce depth, education, related employers, transportation access, and a credible path to scaling over time.
Ranked county table
| Rank | County | Logistics score | Best uses |
|---|---|---|---|
| #1 | Los Angeles County, California | 78 | Software & AI, Life sciences, Logistics |
| #2 | San Diego County, California | 78 | Software & AI, Life sciences, Logistics |
| #3 | Snohomish County, Washington | 78 | Software & AI, Life sciences, Logistics |
| #4 | Multnomah County, Oregon | 78 | Software & AI, Life sciences, Logistics |
| #5 | Washington County, Oregon | 78 | Software & AI, Life sciences, Logistics |
| #6 | Orange County, California | 77 | Software & AI, Life sciences, Logistics |
| #7 | Alameda County, California | 76 | Software & AI, Life sciences, Logistics |
| #8 | Bexar County, Texas | 75 | Energy & Infrastructure, Logistics, Software & AI |
| #9 | King County, Washington | 75 | Software & AI, Life sciences, Logistics |
| #10 | Fairfax County, Virginia | 74 | Federal contracting, Software, Cybersecurity |
| #11 | Tarrant County, Texas | 74 | Energy & Infrastructure, Logistics, Software & AI |
| #12 | Wake County, North Carolina | 73 | Software & AI, Life sciences, Professional services |
| #13 | Mecklenburg County, North Carolina | 73 | Finance, Software & AI, Logistics |
| #14 | Harris County, Texas | 73 | Energy & Infrastructure, Logistics, Software & AI |
| #15 | Dallas County, Texas | 73 | Energy & Infrastructure, Logistics, Software & AI |
| #16 | Collin County, Texas | 73 | Energy & Infrastructure, Logistics, Software & AI |
| #17 | Travis County, Texas | 72 | Energy & Infrastructure, Logistics, Software & AI |
| #18 | Santa Clara County, California | 72 | Software & AI, Life sciences, Logistics |
| #19 | Philadelphia County, Pennsylvania | 70 | Healthcare, Life sciences, Professional services |
| #20 | Fairfield County, Connecticut | 69 | Professional services, Healthcare, Finance |
| #21 | Gwinnett County, Georgia | 68 | Logistics, Healthcare, Professional services |
| #22 | Chatham County, Georgia | 67 | Logistics, Healthcare, Professional services |
| #23 | Orange County, Florida | 67 | Logistics, Healthcare, Professional services |
| #24 | Hillsborough County, Florida | 67 | Logistics, Healthcare, Professional services |
| #25 | Duval County, Florida | 67 | Logistics, Healthcare, Professional services |
| #26 | Montgomery County, Maryland | 66 | Life sciences, Professional services, Healthcare |
| #27 | Prince George's County, Maryland | 66 | Logistics, Healthcare, Federal facilities |
| #28 | Cobb County, Georgia | 66 | Logistics, Healthcare, Professional services |
| #29 | Miami-Dade County, Florida | 66 | Logistics, Healthcare, Professional services |
| #30 | Pinellas County, Florida | 66 | Logistics, Healthcare, Professional services |
| #31 | Kings County, New York | 65 | Professional services, Healthcare, Finance |
| #32 | Erie County, New York | 65 | Professional services, Healthcare, Finance |
| #33 | Monroe County, New York | 65 | Professional services, Healthcare, Finance |
| #34 | Fulton County, Georgia | 64 | Logistics, Healthcare, Professional services |
| #35 | Pima County, Arizona | 64 | Software & AI, Professional services, Logistics |
| #36 | Wayne County, Michigan | 64 | Advanced manufacturing, Logistics, Healthcare |
| #37 | Jackson County, Missouri | 64 | Advanced manufacturing, Logistics, Healthcare |
| #38 | Montgomery County, Pennsylvania | 63 | Life sciences, Professional services, Healthcare |
| #39 | Maricopa County, Arizona | 63 | Software & AI, Professional services, Logistics |
| #40 | Marion County, Indiana | 63 | Advanced manufacturing, Logistics, Healthcare |
| #41 | Kent County, Michigan | 63 | Advanced manufacturing, Logistics, Healthcare |
| #42 | Franklin County, Ohio | 63 | Advanced manufacturing, Logistics, Healthcare |
| #43 | Cuyahoga County, Ohio | 63 | Advanced manufacturing, Logistics, Healthcare |
| #44 | Loudoun County, Virginia | 62 | Data centers, Software infrastructure, Federal contracting |
| #45 | District of Columbia, District of Columbia | 62 | Federal government, Professional services, Policy |
| #46 | Arapahoe County, Colorado | 62 | Software & AI, Professional services, Logistics |
| #47 | Jefferson County, Colorado | 62 | Software & AI, Professional services, Logistics |
| #48 | Cook County, Illinois | 62 | Advanced manufacturing, Logistics, Healthcare |
| #49 | Middlesex County, Massachusetts | 62 | Professional services, Healthcare, Finance |
| #50 | Suffolk County, Massachusetts | 62 | Professional services, Healthcare, Finance |
| #51 | Baltimore County, Maryland | 61 | Healthcare, Education, Logistics |
| #52 | DuPage County, Illinois | 61 | Advanced manufacturing, Logistics, Healthcare |
| #53 | Hamilton County, Indiana | 61 | Advanced manufacturing, Logistics, Healthcare |
| #54 | Anne Arundel County, Maryland | 60 | Logistics, Federal facilities, Healthcare |
| #55 | Prince William County, Virginia | 60 | Logistics, Construction, Federal support |
| #56 | Denver County, Colorado | 60 | Software & AI, Professional services, Logistics |
| #57 | Arlington County, Virginia | 58 | Federal contracting, Software, Professional services |
| #58 | Delaware County, Pennsylvania | 58 | Healthcare, Logistics, Professional services |
| #59 | Howard County, Maryland | 57 | Professional services, Software, Healthcare |
| #60 | Bucks County, Pennsylvania | 57 | Manufacturing, Healthcare, Professional services |
| #61 | New Castle County, Delaware | 57 | Finance, Logistics, Life sciences |
| #62 | Guilford County, North Carolina | 57 | Advanced manufacturing, Logistics, Healthcare |
| #63 | Baltimore City, Maryland | 56 | Healthcare, Education, Port logistics |
| #64 | Henrico County, Virginia | 54 | Professional services, Logistics, Healthcare |
| #65 | Chesterfield County, Virginia | 54 | Advanced manufacturing, Logistics, Healthcare |
| #66 | Camden County, New Jersey | 54 | Healthcare, Logistics, Professional services |
| #67 | Durham County, North Carolina | 54 | Life sciences, Software & AI, Healthcare |
| #68 | New York County, New York | 54 | Professional services, Healthcare, Finance |
| #69 | Frederick County, Maryland | 53 | Life sciences, Advanced manufacturing, Logistics |
| #70 | Alexandria City, Virginia | 53 | Professional services, Federal support, Healthcare |
| #71 | Mercer County, New Jersey | 52 | Professional services, Life sciences, Government |
| #72 | Virginia Beach City, Virginia | 50 | Defense support, Healthcare, Professional services |
| #73 | Norfolk City, Virginia | 50 | Defense support, Logistics, Healthcare |
| #74 | Richmond City, Virginia | 49 | Professional services, Finance, Healthcare |
| #75 | Harford County, Maryland | 48 | Defense support, Advanced manufacturing, Logistics |
| #76 | Stafford County, Virginia | 48 | Federal support, Logistics, Professional services |
| #77 | Charles County, Maryland | 47 | Federal support, Logistics, Healthcare |
| #78 | Spotsylvania County, Virginia | 47 | Logistics, Healthcare, Construction |
| #79 | Albemarle County, Virginia | 46 | Education & Research, Healthcare, Professional services |
| #80 | Frederick County, Virginia | 46 | Logistics, Manufacturing, Professional services |
| #81 | Washington County, Maryland | 44 | Logistics, Manufacturing, Healthcare |
| #82 | Roanoke County, Virginia | 44 | Healthcare, Logistics, Advanced manufacturing |
| #83 | Charlottesville City, Virginia | 44 | Education & Research, Healthcare, Software & AI |
| #84 | Roanoke City, Virginia | 43 | Healthcare, Logistics, Professional services |
| #85 | Carroll County, Maryland | 42 | Construction, Healthcare, Professional services |
| #86 | Queen Anne's County, Maryland | 42 | Logistics, Healthcare, Professional services |
| #87 | Winchester City, Virginia | 42 | Healthcare, Logistics, Professional services |
| #88 | Wicomico County, Maryland | 40 | Healthcare, Food production, Logistics |
| #89 | St. Mary's County, Maryland | 39 | Federal support, Defense aviation, Advanced manufacturing |
| #90 | Calvert County, Maryland | 38 | Energy & Infrastructure, Healthcare, Federal support |
| #91 | Talbot County, Maryland | 34 | Healthcare, Tourism, Professional services |
Top five counties
#1: Los Angeles County, California
Los Angeles County scores 78 for Logistics. Its main advantages include los angeles-long beach-anaheim market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Los Angeles County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#2: San Diego County, California
San Diego County scores 78 for Logistics. Its main advantages include san diego-carlsbad market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating San Diego County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#3: Snohomish County, Washington
Snohomish County scores 78 for Logistics. Its main advantages include seattle-tacoma-bellevue market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Snohomish County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#4: Multnomah County, Oregon
Multnomah County scores 78 for Logistics. Its main advantages include portland-vancouver-hillsboro market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Multnomah County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#5: Washington County, Oregon
Washington County scores 78 for Logistics. Its main advantages include portland-vancouver-hillsboro market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Washington County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
Industry strengths and watch-outs
Logistics expansions need a county that fits the operating model, not just a high overall score. The current leading county is Los Angeles County, but lower-cost, high-talent, and emerging options may be better depending on the company.
Strengths
Los Angeles-Long Beach-Anaheim market access
Los Angeles-Long Beach-Anaheim market access gives Los Angeles County a practical expansion advantage for companies evaluating software & ai, life sciences, logistics activity.
Software & AI expansion relevance
Software & AI expansion relevance gives Los Angeles County a practical expansion advantage for companies evaluating software & ai, life sciences, logistics activity.
County-level workforce and customer base
County-level workforce and customer base gives Los Angeles County a practical expansion advantage for companies evaluating software & ai, life sciences, logistics activity.
Comparable public-data profile for early screening
Comparable public-data profile for early screening gives Los Angeles County a practical expansion advantage for companies evaluating software & ai, life sciences, logistics activity.
Watch-outs
Local submarket conditions need verification
Local submarket conditions need verification should be tested with current site availability, occupation-level hiring data, commute patterns, and local permitting conditions.
Occupation-level hiring depth may vary
Occupation-level hiring depth may vary should be tested with current site availability, occupation-level hiring data, commute patterns, and local permitting conditions.
Real estate and infrastructure readiness are site-specific
Real estate and infrastructure readiness are site-specific should be tested with current site availability, occupation-level hiring data, commute patterns, and local permitting conditions.
Public data can lag current business conditions
Public data can lag current business conditions should be tested with current site availability, occupation-level hiring data, commute patterns, and local permitting conditions.
Cost and talent tradeoff
The strongest county for Logistics is not always the cheapest county. In many cases, higher-cost counties rank well because they offer specialized workers, executive talent, customer access, or an existing ecosystem that reduces go-to-market risk. Lower-cost counties can still be the better choice when a company needs more space, larger teams, simpler operations, or room to grow without paying inner-core premiums.
Decision-makers should separate strategic fit from operating cost. A company serving federal customers may accept a premium for proximity and credibility. A logistics company may prioritize land, road access, and labor availability. A life-sciences firm may need lab infrastructure and scientific talent. A software company may value hybrid-work recruiting reach more than a single office location. The best county depends on the business model.
Risks to consider
Risks include public data lag, county-wide averages that hide submarket variation, incomplete real estate information, and the limits of any screening model. Before making decisions, companies should verify source data, review current commercial real estate listings, speak with local economic development teams, examine utility and permitting conditions, and test whether the desired workforce can be hired at the target wage.
Use this guide as a starting point. It is designed to help users ask better questions, not to replace professional site-selection, legal, financial, real estate, or incentive advice.
FAQ
What counties are best for Logistics expansion?
Los Angeles County, California; San Diego County, California; Snohomish County, Washington; Multnomah County, Oregon; Washington County, Oregon currently rank highest for Logistics in this screening model.
What factors matter most for Logistics site selection?
Companies should compare workforce depth, specialized talent, wage pressure, facility availability, customer access, infrastructure, and execution risks for Logistics expansion.
How should companies use this score?
Use the score to build an early short list, then verify occupation-level labor data, real estate, utilities, incentives, permitting, and local operating risks before making a decision.