Life sciences companies need a more specialized expansion analysis than many office users. They may need scientific talent, wet-lab or biomanufacturing space, proximity to research institutions, clinical partnerships, regulatory expertise, specialized suppliers, capital networks, and a workforce that can scale from research to operations. In the DC region, the best counties for life sciences are not always the largest counties or the lowest-cost counties.
What life sciences companies need
A life-sciences expansion should evaluate lab availability, utility capacity, permitting, biosafety requirements, proximity to scientific workers, access to federal health agencies, university connections, and ability to hire both PhD-level and technician-level workers. The region's strongest opportunities often sit along corridors rather than inside one jurisdiction.
Top counties
| 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 |
Montgomery County analysis
Montgomery County is the region's clearest life-sciences leader. Its strengths include federal research proximity, an established biotech corridor, a highly educated workforce, and a professional ecosystem accustomed to regulated technical markets. Costs are high, but the county offers ecosystem advantages that can reduce business-development and recruiting risk for the right firm.
Frederick County analysis
Frederick County is compelling for companies that need more space, better cost flexibility, and a connection to the I-270 life-sciences corridor. It may be especially attractive for biomanufacturing, lab expansion, production-adjacent activity, and companies graduating from more expensive inner-corridor locations. The main challenge is ensuring the labor pool and commute shed can support specialized hiring.
Fairfax, DC, and Baltimore comparison
Fairfax is more naturally a technology and contracting market, but it can support health technology, data, AI, and federal health work. DC can work for policy, association, regulatory, and headquarters functions. Baltimore City and Baltimore County offer healthcare and university anchors that may fit digital health, clinical partnerships, or institutional collaboration, but they require careful site and workforce analysis.
Cost tradeoffs and final recommendation
Montgomery is the best first-screen county for research-driven and federal health-adjacent life sciences. Frederick is the best first-screen county for space-sensitive or production-adjacent life sciences. Fairfax should be considered when the company is more software, data, or federal contracting oriented. Baltimore-area counties deserve attention when the business model benefits from healthcare anchors, universities, or lower relative costs. The final choice should be made only after validating lab space, utilities, talent, incentives, and permitting conditions.