The East Coast is not one business expansion market. It is a chain of very different county economies that stretch from federal-contracting corridors in Northern Virginia to life-sciences clusters in Maryland and Pennsylvania, port and logistics hubs around Philadelphia and Hampton Roads, and high-growth Sun Belt markets in North Carolina. A company deciding where to expand should not simply ask which metro is largest or cheapest. It should ask which county matches the operating model, labor plan, customer geography, facility needs, and risk tolerance.
LocalEconomyData compares counties through a score that blends workforce depth, education, labor availability, industry fit, cost competitiveness, and growth or market access. That score is useful because it makes tradeoffs visible. A high-talent county such as Fairfax County, Virginia or Montgomery County, Maryland can be excellent for federal contracting, software, life sciences, and professional services, but it can also be expensive. A lower-cost county such as Guilford County, North Carolina or Washington County, Maryland can be compelling for manufacturing, logistics, and operations, but it may require more validation around specialized hiring. The best county depends on what the business is trying to do.
Best overall expansion markets
For broad business expansion, the strongest overall counties in this screening set are usually the places that combine large labor pools, strong education signals, market access, and multiple industry pathways. Fairfax County is one of the best all-around choices for federal contracting, cybersecurity, enterprise software, consulting, and professional services. Wake County is one of the strongest growth markets because it connects Research Triangle talent, software, life sciences, universities, and a business-friendly expansion reputation. Montgomery County, Maryland remains a top option for life sciences and research-adjacent companies, while Montgomery County, Pennsylvania is a high-talent Philadelphia suburban market with pharmaceutical, healthcare, and professional-services advantages.
Large metros also matter. Philadelphia County offers university, hospital, customer, and labor-market scale that smaller counties cannot match. Mecklenburg County gives companies access to Charlotte's finance, corporate, logistics, and airport ecosystem. These counties may carry more complexity, but they can reduce business-development risk for companies that need dense customers, executive talent, and regional brand strength.
Best for life sciences
Life sciences companies need more than a general talent market. They need scientific workers, lab or production space, regulatory support, university and hospital relationships, specialized suppliers, and the ability to recruit across research, clinical, technical, and operations roles. In the current dataset, the strongest life-sciences counties include Montgomery County, Maryland; Frederick County, Maryland; Durham County, North Carolina; Wake County, North Carolina; Montgomery County, Pennsylvania; Mercer County, New Jersey; and Philadelphia County, Pennsylvania.
Montgomery County, Maryland is especially strong for companies tied to federal health, biotech, and research. Frederick County can be attractive for companies that need more space or production-adjacent options along the I-270 corridor. Durham and Wake benefit from the Research Triangle ecosystem, where universities, startups, established companies, and talent pipelines reinforce each other. Philadelphia and Montgomery County, Pennsylvania offer hospital, university, pharmaceutical, and suburban executive-talent advantages. The tradeoff is cost and competition: the counties with the strongest ecosystem often have the tightest specialized labor markets.
| Rank | County | Life Sciences score | Best uses |
|---|---|---|---|
| #1 | Snohomish County, Washington | 79 | Software & AI, Life sciences, Logistics |
| #2 | Multnomah County, Oregon | 79 | Software & AI, Life sciences, Logistics |
| #3 | Washington County, Oregon | 79 | Software & AI, Life sciences, Logistics |
| #4 | Wake County, North Carolina | 78 | Software & AI, Life sciences, Professional services |
| #5 | Los Angeles County, California | 78 | Software & AI, Life sciences, Logistics |
| #6 | San Diego County, California | 78 | Software & AI, Life sciences, Logistics |
| #7 | Orange County, California | 78 | Software & AI, Life sciences, Logistics |
| #8 | Alameda County, California | 77 | Software & AI, Life sciences, Logistics |
| #9 | Montgomery County, Maryland | 75 | Life sciences, Professional services, Healthcare |
| #10 | Fairfax County, Virginia | 75 | Federal contracting, Software, Cybersecurity |
| #11 | Philadelphia County, Pennsylvania | 75 | Healthcare, Life sciences, Professional services |
| #12 | King County, Washington | 75 | Software & AI, Life sciences, Logistics |
| #13 | Santa Clara County, California | 73 | Software & AI, Life sciences, Logistics |
| #14 | Fairfield County, Connecticut | 69 | Professional services, Healthcare, Finance |
| #15 | Montgomery County, Pennsylvania | 68 | Life sciences, Professional services, Healthcare |
| #16 | Mecklenburg County, North Carolina | 66 | Finance, Software & AI, Logistics |
| #17 | Tarrant County, Texas | 66 | Energy & Infrastructure, Logistics, Software & AI |
| #18 | Bexar County, Texas | 66 | Energy & Infrastructure, Logistics, Software & AI |
| #19 | District of Columbia, District of Columbia | 65 | Federal government, Professional services, Policy |
| #20 | Harris County, Texas | 65 | Energy & Infrastructure, Logistics, Software & AI |
| #21 | Dallas County, Texas | 65 | Energy & Infrastructure, Logistics, Software & AI |
| #22 | Kings County, New York | 65 | Professional services, Healthcare, Finance |
| #23 | Erie County, New York | 65 | Professional services, Healthcare, Finance |
| #24 | Monroe County, New York | 65 | Professional services, Healthcare, Finance |
| #25 | Travis County, Texas | 64 | Energy & Infrastructure, Logistics, Software & AI |
| #26 | Collin County, Texas | 64 | Energy & Infrastructure, Logistics, Software & AI |
| #27 | Durham County, North Carolina | 63 | Life sciences, Software & AI, Healthcare |
| #28 | Middlesex County, Massachusetts | 62 | Professional services, Healthcare, Finance |
| #29 | Suffolk County, Massachusetts | 62 | Professional services, Healthcare, Finance |
| #30 | Prince George's County, Maryland | 61 | Logistics, Healthcare, Federal facilities |
| #31 | Arlington County, Virginia | 61 | Federal contracting, Software, Professional services |
| #32 | Howard County, Maryland | 59 | Professional services, Software, Healthcare |
| #33 | Gwinnett County, Georgia | 59 | Logistics, Healthcare, Professional services |
| #34 | Pima County, Arizona | 59 | Software & AI, Professional services, Logistics |
| #35 | Baltimore County, Maryland | 58 | Healthcare, Education, Logistics |
| #36 | Chatham County, Georgia | 58 | Logistics, Healthcare, Professional services |
| #37 | Orange County, Florida | 58 | Logistics, Healthcare, Professional services |
| #38 | Hillsborough County, Florida | 58 | Logistics, Healthcare, Professional services |
| #39 | Duval County, Florida | 58 | Logistics, Healthcare, Professional services |
| #40 | Maricopa County, Arizona | 58 | Software & AI, Professional services, Logistics |
| #41 | Arapahoe County, Colorado | 58 | Software & AI, Professional services, Logistics |
| #42 | Loudoun County, Virginia | 57 | Data centers, Software infrastructure, Federal contracting |
| #43 | Cobb County, Georgia | 57 | Logistics, Healthcare, Professional services |
| #44 | Miami-Dade County, Florida | 57 | Logistics, Healthcare, Professional services |
| #45 | Pinellas County, Florida | 57 | Logistics, Healthcare, Professional services |
| #46 | Jefferson County, Colorado | 57 | Software & AI, Professional services, Logistics |
| #47 | Frederick County, Maryland | 56 | Life sciences, Advanced manufacturing, Logistics |
| #48 | Mercer County, New Jersey | 56 | Professional services, Life sciences, Government |
| #49 | Anne Arundel County, Maryland | 55 | Logistics, Federal facilities, Healthcare |
| #50 | New Castle County, Delaware | 55 | Finance, Logistics, Life sciences |
| #51 | Fulton County, Georgia | 55 | Logistics, Healthcare, Professional services |
| #52 | Denver County, Colorado | 55 | Software & AI, Professional services, Logistics |
| #53 | Wayne County, Michigan | 55 | Advanced manufacturing, Logistics, Healthcare |
| #54 | New York County, New York | 55 | Professional services, Healthcare, Finance |
| #55 | Baltimore City, Maryland | 54 | Healthcare, Education, Port logistics |
| #56 | Bucks County, Pennsylvania | 54 | Manufacturing, Healthcare, Professional services |
| #57 | Franklin County, Ohio | 54 | Advanced manufacturing, Logistics, Healthcare |
| #58 | Jackson County, Missouri | 54 | Advanced manufacturing, Logistics, Healthcare |
| #59 | Alexandria City, Virginia | 53 | Professional services, Federal support, Healthcare |
| #60 | Cook County, Illinois | 53 | Advanced manufacturing, Logistics, Healthcare |
| #61 | Marion County, Indiana | 53 | Advanced manufacturing, Logistics, Healthcare |
| #62 | Kent County, Michigan | 53 | Advanced manufacturing, Logistics, Healthcare |
| #63 | Cuyahoga County, Ohio | 53 | Advanced manufacturing, Logistics, Healthcare |
| #64 | Prince William County, Virginia | 52 | Logistics, Construction, Federal support |
| #65 | Delaware County, Pennsylvania | 52 | Healthcare, Logistics, Professional services |
| #66 | DuPage County, Illinois | 52 | Advanced manufacturing, Logistics, Healthcare |
| #67 | Charlottesville City, Virginia | 51 | Education & Research, Healthcare, Software & AI |
| #68 | Hamilton County, Indiana | 51 | Advanced manufacturing, Logistics, Healthcare |
| #69 | Albemarle County, Virginia | 50 | Education & Research, Healthcare, Professional services |
| #70 | Camden County, New Jersey | 49 | Healthcare, Logistics, Professional services |
| #71 | Henrico County, Virginia | 47 | Professional services, Logistics, Healthcare |
| #72 | Richmond City, Virginia | 45 | Professional services, Finance, Healthcare |
| #73 | Guilford County, North Carolina | 45 | Advanced manufacturing, Logistics, Healthcare |
| #74 | Chesterfield County, Virginia | 44 | Advanced manufacturing, Logistics, Healthcare |
| #75 | Virginia Beach City, Virginia | 44 | Defense support, Healthcare, Professional services |
| #76 | Harford County, Maryland | 41 | Defense support, Advanced manufacturing, Logistics |
| #77 | Stafford County, Virginia | 40 | Federal support, Logistics, Professional services |
| #78 | Charles County, Maryland | 38 | Federal support, Logistics, Healthcare |
| #79 | Norfolk City, Virginia | 38 | Defense support, Logistics, Healthcare |
| #80 | Carroll County, Maryland | 37 | Construction, Healthcare, Professional services |
| #81 | Roanoke County, Virginia | 36 | Healthcare, Logistics, Advanced manufacturing |
| #82 | St. Mary's County, Maryland | 35 | Federal support, Defense aviation, Advanced manufacturing |
| #83 | Spotsylvania County, Virginia | 35 | Logistics, Healthcare, Construction |
| #84 | Roanoke City, Virginia | 35 | Healthcare, Logistics, Professional services |
| #85 | Calvert County, Maryland | 34 | Energy & Infrastructure, Healthcare, Federal support |
| #86 | Frederick County, Virginia | 34 | Logistics, Manufacturing, Professional services |
| #87 | Queen Anne's County, Maryland | 33 | Logistics, Healthcare, Professional services |
| #88 | Wicomico County, Maryland | 32 | Healthcare, Food production, Logistics |
| #89 | Winchester City, Virginia | 32 | Healthcare, Logistics, Professional services |
| #90 | Washington County, Maryland | 31 | Logistics, Manufacturing, Healthcare |
| #91 | Talbot County, Maryland | 31 | Healthcare, Tourism, Professional services |
Best for federal contracting
Federal contracting is most natural in counties with customer proximity, cleared or clearance-adjacent labor, proposal and compliance talent, teaming partners, and a deep base of companies that understand public-sector procurement. Fairfax County is the clearest leader, followed by Arlington, Alexandria, Loudoun, Prince William, Stafford, Montgomery County, Maryland, and the District of Columbia. Virginia Beach and Norfolk are also relevant because of the military and defense ecosystem in Hampton Roads.
For a contractor, location can affect customer access, recruiting, credibility, and teaming strategy. A close-in Northern Virginia office can be worth the cost if it improves business development and recruiting. A Stafford or Prince William location may work better for companies that want Northern Virginia access with more space or lower cost. Hampton Roads counties and independent cities can be better for Navy, maritime, logistics, and defense-support activity. The right answer depends on the agency customer, contract type, workforce need, and whether employees need to be near secure facilities or customers.
| Rank | County | Federal Contracting score | Best uses |
|---|---|---|---|
| #1 | Fairfax County, Virginia | 82 | Federal contracting, Software, Cybersecurity |
| #2 | District of Columbia, District of Columbia | 73 | Federal government, Professional services, Policy |
| #3 | Montgomery County, Maryland | 72 | Life sciences, Professional services, Healthcare |
| #4 | Arlington County, Virginia | 69 | Federal contracting, Software, Professional services |
| #5 | Wake County, North Carolina | 68 | Software & AI, Life sciences, Professional services |
| #6 | Los Angeles County, California | 68 | Software & AI, Life sciences, Logistics |
| #7 | San Diego County, California | 68 | Software & AI, Life sciences, Logistics |
| #8 | Snohomish County, Washington | 68 | Software & AI, Life sciences, Logistics |
| #9 | Multnomah County, Oregon | 68 | Software & AI, Life sciences, Logistics |
| #10 | Washington County, Oregon | 68 | Software & AI, Life sciences, Logistics |
| #11 | Orange County, California | 67 | Software & AI, Life sciences, Logistics |
| #12 | Philadelphia County, Pennsylvania | 66 | Healthcare, Life sciences, Professional services |
| #13 | Alameda County, California | 66 | Software & AI, Life sciences, Logistics |
| #14 | King County, Washington | 65 | Software & AI, Life sciences, Logistics |
| #15 | Fairfield County, Connecticut | 65 | Professional services, Healthcare, Finance |
| #16 | Prince George's County, Maryland | 64 | Logistics, Healthcare, Federal facilities |
| #17 | Loudoun County, Virginia | 64 | Data centers, Software infrastructure, Federal contracting |
| #18 | Mecklenburg County, North Carolina | 64 | Finance, Software & AI, Logistics |
| #19 | Bexar County, Texas | 64 | Energy & Infrastructure, Logistics, Software & AI |
| #20 | Harris County, Texas | 63 | Energy & Infrastructure, Logistics, Software & AI |
| #21 | Tarrant County, Texas | 63 | Energy & Infrastructure, Logistics, Software & AI |
| #22 | Santa Clara County, California | 63 | Software & AI, Life sciences, Logistics |
| #23 | Dallas County, Texas | 62 | Energy & Infrastructure, Logistics, Software & AI |
| #24 | Collin County, Texas | 62 | Energy & Infrastructure, Logistics, Software & AI |
| #25 | Travis County, Texas | 61 | Energy & Infrastructure, Logistics, Software & AI |
| #26 | Alexandria City, Virginia | 60 | Professional services, Federal support, Healthcare |
| #27 | Kings County, New York | 60 | Professional services, Healthcare, Finance |
| #28 | Erie County, New York | 60 | Professional services, Healthcare, Finance |
| #29 | Monroe County, New York | 60 | Professional services, Healthcare, Finance |
| #30 | Howard County, Maryland | 59 | Professional services, Software, Healthcare |
| #31 | Montgomery County, Pennsylvania | 59 | Life sciences, Professional services, Healthcare |
| #32 | Anne Arundel County, Maryland | 57 | Logistics, Federal facilities, Healthcare |
| #33 | Baltimore County, Maryland | 57 | Healthcare, Education, Logistics |
| #34 | Prince William County, Virginia | 57 | Logistics, Construction, Federal support |
| #35 | Gwinnett County, Georgia | 57 | Logistics, Healthcare, Professional services |
| #36 | Middlesex County, Massachusetts | 57 | Professional services, Healthcare, Finance |
| #37 | Suffolk County, Massachusetts | 57 | Professional services, Healthcare, Finance |
| #38 | Chatham County, Georgia | 56 | Logistics, Healthcare, Professional services |
| #39 | Orange County, Florida | 56 | Logistics, Healthcare, Professional services |
| #40 | Hillsborough County, Florida | 56 | Logistics, Healthcare, Professional services |
| #41 | Duval County, Florida | 56 | Logistics, Healthcare, Professional services |
| #42 | Virginia Beach City, Virginia | 55 | Defense support, Healthcare, Professional services |
| #43 | Cobb County, Georgia | 55 | Logistics, Healthcare, Professional services |
| #44 | Miami-Dade County, Florida | 55 | Logistics, Healthcare, Professional services |
| #45 | Pinellas County, Florida | 55 | Logistics, Healthcare, Professional services |
| #46 | Maricopa County, Arizona | 55 | Software & AI, Professional services, Logistics |
| #47 | Pima County, Arizona | 55 | Software & AI, Professional services, Logistics |
| #48 | Arapahoe County, Colorado | 54 | Software & AI, Professional services, Logistics |
| #49 | Fulton County, Georgia | 53 | Logistics, Healthcare, Professional services |
| #50 | Jefferson County, Colorado | 53 | Software & AI, Professional services, Logistics |
| #51 | Wayne County, Michigan | 53 | Advanced manufacturing, Logistics, Healthcare |
| #52 | Jackson County, Missouri | 53 | Advanced manufacturing, Logistics, Healthcare |
| #53 | Marion County, Indiana | 52 | Advanced manufacturing, Logistics, Healthcare |
| #54 | Kent County, Michigan | 52 | Advanced manufacturing, Logistics, Healthcare |
| #55 | Franklin County, Ohio | 52 | Advanced manufacturing, Logistics, Healthcare |
| #56 | Cuyahoga County, Ohio | 52 | Advanced manufacturing, Logistics, Healthcare |
| #57 | Baltimore City, Maryland | 51 | Healthcare, Education, Port logistics |
| #58 | Mercer County, New Jersey | 51 | Professional services, Life sciences, Government |
| #59 | Durham County, North Carolina | 51 | Life sciences, Software & AI, Healthcare |
| #60 | Denver County, Colorado | 51 | Software & AI, Professional services, Logistics |
| #61 | Cook County, Illinois | 51 | Advanced manufacturing, Logistics, Healthcare |
| #62 | Frederick County, Maryland | 50 | Life sciences, Advanced manufacturing, Logistics |
| #63 | Stafford County, Virginia | 50 | Federal support, Logistics, Professional services |
| #64 | Norfolk City, Virginia | 50 | Defense support, Logistics, Healthcare |
| #65 | Bucks County, Pennsylvania | 50 | Manufacturing, Healthcare, Professional services |
| #66 | DuPage County, Illinois | 50 | Advanced manufacturing, Logistics, Healthcare |
| #67 | Hamilton County, Indiana | 50 | Advanced manufacturing, Logistics, Healthcare |
| #68 | New York County, New York | 50 | Professional services, Healthcare, Finance |
| #69 | Harford County, Maryland | 49 | Defense support, Advanced manufacturing, Logistics |
| #70 | Henrico County, Virginia | 49 | Professional services, Logistics, Healthcare |
| #71 | Delaware County, Pennsylvania | 49 | Healthcare, Logistics, Professional services |
| #72 | New Castle County, Delaware | 48 | Finance, Logistics, Life sciences |
| #73 | St. Mary's County, Maryland | 47 | Federal support, Defense aviation, Advanced manufacturing |
| #74 | Chesterfield County, Virginia | 47 | Advanced manufacturing, Logistics, Healthcare |
| #75 | Richmond City, Virginia | 47 | Professional services, Finance, Healthcare |
| #76 | Charles County, Maryland | 46 | Federal support, Logistics, Healthcare |
| #77 | Albemarle County, Virginia | 45 | Education & Research, Healthcare, Professional services |
| #78 | Camden County, New Jersey | 45 | Healthcare, Logistics, Professional services |
| #79 | Charlottesville City, Virginia | 44 | Education & Research, Healthcare, Software & AI |
| #80 | Guilford County, North Carolina | 44 | Advanced manufacturing, Logistics, Healthcare |
| #81 | Spotsylvania County, Virginia | 42 | Logistics, Healthcare, Construction |
| #82 | Carroll County, Maryland | 41 | Construction, Healthcare, Professional services |
| #83 | Calvert County, Maryland | 40 | Energy & Infrastructure, Healthcare, Federal support |
| #84 | Frederick County, Virginia | 38 | Logistics, Manufacturing, Professional services |
| #85 | Roanoke County, Virginia | 36 | Healthcare, Logistics, Advanced manufacturing |
| #86 | Washington County, Maryland | 35 | Logistics, Manufacturing, Healthcare |
| #87 | Roanoke City, Virginia | 35 | Healthcare, Logistics, Professional services |
| #88 | Queen Anne's County, Maryland | 34 | Logistics, Healthcare, Professional services |
| #89 | Winchester City, Virginia | 34 | Healthcare, Logistics, Professional services |
| #90 | Wicomico County, Maryland | 33 | Healthcare, Food production, Logistics |
| #91 | Talbot County, Maryland | 31 | Healthcare, Tourism, Professional services |
Best for software and AI
Software and AI companies should evaluate counties by technical talent, executive talent, education, startup density, customer access, and wage pressure. Wake County, Durham County, Fairfax County, Arlington County, Montgomery County, Pennsylvania, Mecklenburg County, and Philadelphia County stand out for different reasons. Wake and Durham benefit from the Research Triangle. Fairfax and Arlington connect software talent with federal, defense, cybersecurity, and enterprise customers. Mecklenburg offers corporate and finance customers in Charlotte. Philadelphia offers universities and healthcare-adjacent data opportunities.
The biggest tradeoff is that software firms can often hire across metro boundaries or operate hybrid teams. That means the chosen county should serve a strategic function: customer access, recruiting brand, headquarters presence, cost control, or a specific partnership ecosystem. A lower-cost county can work if hybrid hiring expands the talent shed, but companies should be honest about whether the location helps or hurts recruiting.
| Rank | County | Software & AI score | Best uses |
|---|---|---|---|
| #1 | Snohomish County, Washington | 82 | Software & AI, Life sciences, Logistics |
| #2 | Multnomah County, Oregon | 82 | Software & AI, Life sciences, Logistics |
| #3 | Los Angeles County, California | 81 | Software & AI, Life sciences, Logistics |
| #4 | San Diego County, California | 81 | Software & AI, Life sciences, Logistics |
| #5 | Orange County, California | 81 | Software & AI, Life sciences, Logistics |
| #6 | Washington County, Oregon | 81 | Software & AI, Life sciences, Logistics |
| #7 | Fairfax County, Virginia | 80 | Federal contracting, Software, Cybersecurity |
| #8 | Wake County, North Carolina | 79 | Software & AI, Life sciences, Professional services |
| #9 | Alameda County, California | 79 | Software & AI, Life sciences, Logistics |
| #10 | King County, Washington | 78 | Software & AI, Life sciences, Logistics |
| #11 | Santa Clara County, California | 76 | Software & AI, Life sciences, Logistics |
| #12 | Montgomery County, Maryland | 73 | Life sciences, Professional services, Healthcare |
| #13 | Mecklenburg County, North Carolina | 73 | Finance, Software & AI, Logistics |
| #14 | Tarrant County, Texas | 73 | Energy & Infrastructure, Logistics, Software & AI |
| #15 | Bexar County, Texas | 73 | Energy & Infrastructure, Logistics, Software & AI |
| #16 | Harris County, Texas | 72 | Energy & Infrastructure, Logistics, Software & AI |
| #17 | Dallas County, Texas | 72 | Energy & Infrastructure, Logistics, Software & AI |
| #18 | District of Columbia, District of Columbia | 71 | Federal government, Professional services, Policy |
| #19 | Travis County, Texas | 71 | Energy & Infrastructure, Logistics, Software & AI |
| #20 | Collin County, Texas | 71 | Energy & Infrastructure, Logistics, Software & AI |
| #21 | Fairfield County, Connecticut | 71 | Professional services, Healthcare, Finance |
| #22 | Philadelphia County, Pennsylvania | 70 | Healthcare, Life sciences, Professional services |
| #23 | Arlington County, Virginia | 67 | Federal contracting, Software, Professional services |
| #24 | Erie County, New York | 67 | Professional services, Healthcare, Finance |
| #25 | Monroe County, New York | 67 | Professional services, Healthcare, Finance |
| #26 | Pima County, Arizona | 66 | Software & AI, Professional services, Logistics |
| #27 | Kings County, New York | 66 | Professional services, Healthcare, Finance |
| #28 | Montgomery County, Pennsylvania | 65 | Life sciences, Professional services, Healthcare |
| #29 | Maricopa County, Arizona | 65 | Software & AI, Professional services, Logistics |
| #30 | Loudoun County, Virginia | 64 | Data centers, Software infrastructure, Federal contracting |
| #31 | Arapahoe County, Colorado | 64 | Software & AI, Professional services, Logistics |
| #32 | Jefferson County, Colorado | 64 | Software & AI, Professional services, Logistics |
| #33 | Suffolk County, Massachusetts | 64 | Professional services, Healthcare, Finance |
| #34 | Gwinnett County, Georgia | 63 | Logistics, Healthcare, Professional services |
| #35 | Middlesex County, Massachusetts | 63 | Professional services, Healthcare, Finance |
| #36 | Chatham County, Georgia | 62 | Logistics, Healthcare, Professional services |
| #37 | Orange County, Florida | 62 | Logistics, Healthcare, Professional services |
| #38 | Hillsborough County, Florida | 62 | Logistics, Healthcare, Professional services |
| #39 | Duval County, Florida | 62 | Logistics, Healthcare, Professional services |
| #40 | Denver County, Colorado | 62 | Software & AI, Professional services, Logistics |
| #41 | Howard County, Maryland | 61 | Professional services, Software, Healthcare |
| #42 | Durham County, North Carolina | 61 | Life sciences, Software & AI, Healthcare |
| #43 | Cobb County, Georgia | 61 | Logistics, Healthcare, Professional services |
| #44 | Miami-Dade County, Florida | 61 | Logistics, Healthcare, Professional services |
| #45 | Pinellas County, Florida | 61 | Logistics, Healthcare, Professional services |
| #46 | Prince George's County, Maryland | 60 | Logistics, Healthcare, Federal facilities |
| #47 | Fulton County, Georgia | 59 | Logistics, Healthcare, Professional services |
| #48 | Alexandria City, Virginia | 58 | Professional services, Federal support, Healthcare |
| #49 | Wayne County, Michigan | 58 | Advanced manufacturing, Logistics, Healthcare |
| #50 | Jackson County, Missouri | 58 | Advanced manufacturing, Logistics, Healthcare |
| #51 | Baltimore County, Maryland | 57 | Healthcare, Education, Logistics |
| #52 | Marion County, Indiana | 57 | Advanced manufacturing, Logistics, Healthcare |
| #53 | Kent County, Michigan | 57 | Advanced manufacturing, Logistics, Healthcare |
| #54 | Franklin County, Ohio | 57 | Advanced manufacturing, Logistics, Healthcare |
| #55 | Cuyahoga County, Ohio | 57 | Advanced manufacturing, Logistics, Healthcare |
| #56 | Anne Arundel County, Maryland | 56 | Logistics, Federal facilities, Healthcare |
| #57 | Cook County, Illinois | 56 | Advanced manufacturing, Logistics, Healthcare |
| #58 | New York County, New York | 56 | Professional services, Healthcare, Finance |
| #59 | DuPage County, Illinois | 55 | Advanced manufacturing, Logistics, Healthcare |
| #60 | Hamilton County, Indiana | 55 | Advanced manufacturing, Logistics, Healthcare |
| #61 | Prince William County, Virginia | 54 | Logistics, Construction, Federal support |
| #62 | Charlottesville City, Virginia | 54 | Education & Research, Healthcare, Software & AI |
| #63 | Mercer County, New Jersey | 54 | Professional services, Life sciences, Government |
| #64 | Baltimore City, Maryland | 53 | Healthcare, Education, Port logistics |
| #65 | Bucks County, Pennsylvania | 53 | Manufacturing, Healthcare, Professional services |
| #66 | Albemarle County, Virginia | 52 | Education & Research, Healthcare, Professional services |
| #67 | New Castle County, Delaware | 52 | Finance, Logistics, Life sciences |
| #68 | Frederick County, Maryland | 51 | Life sciences, Advanced manufacturing, Logistics |
| #69 | Richmond City, Virginia | 51 | Professional services, Finance, Healthcare |
| #70 | Delaware County, Pennsylvania | 51 | Healthcare, Logistics, Professional services |
| #71 | Henrico County, Virginia | 50 | Professional services, Logistics, Healthcare |
| #72 | Chesterfield County, Virginia | 48 | Advanced manufacturing, Logistics, Healthcare |
| #73 | Virginia Beach City, Virginia | 47 | Defense support, Healthcare, Professional services |
| #74 | Camden County, New Jersey | 47 | Healthcare, Logistics, Professional services |
| #75 | Guilford County, North Carolina | 46 | Advanced manufacturing, Logistics, Healthcare |
| #76 | Harford County, Maryland | 43 | Defense support, Advanced manufacturing, Logistics |
| #77 | Stafford County, Virginia | 43 | Federal support, Logistics, Professional services |
| #78 | Charles County, Maryland | 40 | Federal support, Logistics, Healthcare |
| #79 | Carroll County, Maryland | 40 | Construction, Healthcare, Professional services |
| #80 | Norfolk City, Virginia | 39 | Defense support, Logistics, Healthcare |
| #81 | St. Mary's County, Maryland | 38 | Federal support, Defense aviation, Advanced manufacturing |
| #82 | Spotsylvania County, Virginia | 37 | Logistics, Healthcare, Construction |
| #83 | Roanoke County, Virginia | 37 | Healthcare, Logistics, Advanced manufacturing |
| #84 | Roanoke City, Virginia | 36 | Healthcare, Logistics, Professional services |
| #85 | Frederick County, Virginia | 36 | Logistics, Manufacturing, Professional services |
| #86 | Calvert County, Maryland | 35 | Energy & Infrastructure, Healthcare, Federal support |
| #87 | Queen Anne's County, Maryland | 34 | Logistics, Healthcare, Professional services |
| #88 | Winchester City, Virginia | 34 | Healthcare, Logistics, Professional services |
| #89 | Washington County, Maryland | 32 | Logistics, Manufacturing, Healthcare |
| #90 | Talbot County, Maryland | 31 | Healthcare, Tourism, Professional services |
| #91 | Wicomico County, Maryland | 30 | Healthcare, Food production, Logistics |
Best for logistics and manufacturing
Logistics and manufacturing searches reward counties with highway access, airport or port connections, large sites, utility capacity, shift labor, predictable permitting, and a cost structure that works at scale. Guilford County, North Carolina is one of the clearest lower-cost logistics and manufacturing markets because of the Piedmont Triad's interstate and airport position. Washington County, Maryland offers I-81 and I-70 access. Henrico and Chesterfield in Virginia provide Richmond-region options with balanced cost and labor access. Norfolk and New Castle County are strong when port or I-95 corridor access matters.
These counties may not always win on education or executive-talent metrics, but they can outperform for real operating facilities. A manufacturer or distributor should focus less on overall prestige and more on site readiness, utility capacity, transportation reliability, workforce availability, and total operating cost. The best county is often the one that can execute the facility plan without forcing the company into an expensive labor or real estate mismatch.
| 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 |
Best for cost-sensitive companies
Cost-sensitive companies should examine Guilford County, Washington County, Wicomico County, Norfolk City, Prince George's County, Prince William County, Spotsylvania County, and New Castle County. These places can offer more flexible operating economics than the highest-cost suburban or urban markets. The caution is that lower cost is only useful if the county can still support the workforce and facility needs. Companies should test whether the savings are real after transportation, training, turnover, utilities, insurance, and time-to-market are included.
Best for access to major metros
Companies that need access to major customers, institutions, and executive talent should prioritize Fairfax, Arlington, Alexandria, Montgomery County, Maryland, DC, Philadelphia County, Montgomery County, Pennsylvania, Delaware County, New Castle County, Wake County, Durham County, and Mecklenburg County. These counties connect businesses to larger customer networks and talent sheds. They are not always cheap, but they can improve sales, partnerships, hiring, and visibility.
Final recommendations by business type
Choose Fairfax or Arlington for federal contracting, cybersecurity, and enterprise government markets. Choose Montgomery County, Maryland or Durham for life sciences and research-driven companies. Choose Wake or Mecklenburg for high-growth software, corporate services, and Sun Belt expansion. Choose Philadelphia or Montgomery County, Pennsylvania for healthcare, universities, pharmaceuticals, and Northeast corridor access. Choose Guilford, Washington County, Chesterfield, Henrico, Norfolk, or New Castle County for logistics, industrial, and cost-sensitive operations. Choose Prince George's, Prince William, Stafford, or Spotsylvania when the company wants access to the DC region but cannot justify the cost profile of the inner core.
The best county is not the highest-ranked county in every table. It is the county where the company's specific needs match local labor, cost, customer, facility, and risk conditions. Use this guide to build a short list, then validate that list with real estate data, occupation-level labor analysis, utility and permitting review, incentives, and conversations with local economic development teams.