If You Build It, Will They Come? What Census Data Tells Us About Bay Area Lab Site Selection
When founders think about choosing a lab space, the checklist usually starts with rent, square footage, whether the HVAC system can handle their equipment, and, as we’ve covered before, proximity to talent. However, knowing that talent matters is different from knowing exactly where that talent lives.
A lab building can check every box on functionality and cost, but its long-term competitiveness depends on a more basic question: Can it attract the workers your science depends on?
The Bay Area’s life science ecosystem is unusually deep - home to one of the country’s largest concentrations of lab space, a highly specialized workforce, and a dense network of universities, research institutions, and biotech and pharmaceutical companies – with one caveat: that talent isn’t spread evenly across the map.
Newly released Census data provides a clearer picture of where the region’s scientific “labor shed” - the geographic area from which an employment center draws its commuting workforce - is concentrated. Comparing those residential patterns with the location of existing Bay Area lab space reveals important patterns for companies evaluating where to locate.
The Census Data Behind the Analysis
This analysis draws on the U.S. Census Bureau’s 2020-2024 American Community Survey (ACS) 5-Year Public Use Microdata Sample (PUMS), released in 2026 - the most current Census data available for this type of breakdown.
It looks at Bay Area residents holding a master’s degree across a range of scientific fields, including biology, biochemical sciences, molecular biology, genetics, microbiology, physiology, neuroscience, and chemistry. We use master’s-degree-level workers because they tend to be more location-centric than doctoral or postdoctoral workers.
Rather than treating “scientific talent” as one large pool, the data breaks the nine-county Bay Area into distinct residential clusters. Comparing those clusters with the region’s established life science real estate markets reveals two important talent corridors.
Two Bay Area Life Science Talent Corridors Worth Knowing
The labor shed data points to two primary clusters:
The Peninsula to San Jose Corridor - Running broadly from San Mateo County through Palo Alto, Mountain View, Sunnyvale, Cupertino, and San Jose. At its furthest, this labor shed extends as much as 47 miles south of the region’s most established lab cluster, anchored by South San Francisco’s globally recognized biotech hub.
The Inner East Bay Corridor - Including Berkeley, Emeryville, Oakland, and Alameda, and extending toward Fremont and the Tri-Valley. This is a substantial and growing lab submarket in its own right, rather than simply a secondary option to the Peninsula.
What’s notable is that these residential concentrations of scientific talent are not always immediately adjacent to the region’s established lab markets. One reason may be that lab centers were traditionally located in industrially zoned areas because of laboratories’ use of substances classified as hazardous materials.
For companies evaluating Bay Area lab space, that distinction matters: where the region’s scientists live and where its laboratories have historically been built are related, but they are not necessarily the same geography.
The Bay Area Life Science Market Is Evolving Beyond the Traditional Core
The classic Bay Area lab map - South San Francisco, the Peninsula, Santa Clara County, and the East Bay - is still broadly accurate. But according to current quarterly market research from Bay Area brokerage sources, the picture is becoming more nuanced as demand shifts and vacancy remains elevated.
That means the question, “Is this inside a recognized lab cluster?” isn’t the only one worth asking. A location outside the traditional core can still be genuinely competitive if it offers solid lab infrastructure, reasonable economics, and - critically - access to the right workforce.
One example is the City of Vacaville, a biomanufacturing hub established by Genentech in 1998 that has continued to grow, spawning its own specialized workforce from neighboring communities including Davis and Sacramento.
Why Workforce Access Should Factor Into Your Lab Search
For an early-stage company, hiring is often harder than fundraising. A lab with state-of-the-art bench space and abundant power capacity may not be enough if you can’t staff it. There are several reasons proximity to scientific talent matters more than many companies initially realize:
A bigger local talent pool means less recruiting friction: You’re not just competing for candidates - you’re competing for their commute tolerance, too.
Retention is a commuting problem as much as a compensation problem: Specialized scientists often have options, and a shorter commute can be a real factor in whether someone accepts a position or stays with a company.
You’re not just competing with other labs: Bay Area scientific workers move fluidly between biotech, pharma, medical technology, universities, hospitals, and technology companies. The real competition for talent extends well beyond neighboring lab buildings.
Proximity to research institutions compounds the effect: Being near Stanford, UC Berkeley, and UCSF doesn’t just create opportunities for collaboration - it also means access to a steady pipeline of graduates already living nearby.
“An excellent facility too far away from the labor shed adds another dimension of difficulty in leasing lab space which cannot be solved with economic concessions in the real estate deal.” said David Klein, Labspace Directory co-founder and former co-owner of San Jose BioCube, a life science incubator in South San Jose.
Why Life Science Talent Matters Even More in Today’s Market
Vacancy across the Bay Area life science market remains elevated by any measure, although the exact figure varies depending on methodology. Estimates for Q2 2026 range from roughly 29% to just over 31%, driven largely by a supply overhang from the 2021-2022 speculative construction boom that has left much of that space still unleased.
Whichever number you use, the takeaway is the same: tenants have significantly more choices today than they did just a few years ago.
That shift shows up clearly at the county level, and it aligns with the talent-corridor pattern above. The table below puts talent concentration and space availability side by side.
Talent Corridors vs. Space Availability | Q2 2026
Santa Clara County - sitting inside the Peninsula/Silicon Valley labor shed - is notably tighter than the rest of the market, with just 13.9% availability, well below the region-wide average.
San Mateo County, the other half of that same labor shed, tells a different story at 30.7% - a reminder that “the Peninsula” isn’t one uniform market.
Meanwhile, the East Bay corridor is the loosest at 34.2% availability, giving tenants drawn to that talent pool more room to negotiate. San Francisco County itself, while not a primary talent-corridor anchor in this analysis, is also relatively tight at 16.5% - though it carries by far the highest asking rent in the region.
In other words, the areas most closely linked to deep talent pools aren’t necessarily the easiest - or cheapest - places to find space right now. That’s worth knowing before assuming a “talent-rich” submarket will also be space-rich or affordable.
CBRE’s Q2 2026 Life Science Market Report independently maps Bay Area life sciences talent density against biological and biomedical degree concentration. Using a different data source and methodology, it arrives at the same basic conclusion as this analysis: the region’s scientific talent isn’t evenly distributed; it clusters in recognizable, mappable corridors.
Bay Area Life Sciences Talent Density & Biological/Biomedical Degrees
Darker shading indicates higher concentrations of life science talent, visually reinforcing the same residential clustering this analysis identifies through Census data. Source: CBRE Research, Location Intelligence, Q1 2026.
This kind of market shift changes the calculus for tenants. When space is scarce, building functionality alone tends to drive decisions. When vacancy is elevated, as it is now, tenants can increasingly compare buildings not just on rent and specifications, but also on the strength of the labor market around them.
That opens the door for strong lab space options outside the traditional core submarkets, provided they offer the right combination of lab functionality, economics, and workforce access.
What This Means If You’re Choosing Your First Lab
You don’t need a Census dataset to make a good real estate decision, but it’s worth asking a simple question before signing a lease: If I post this job opening, who is within a reasonable commute?
If the answer is “not many people with the exact background I need,” that’s worth weighing against the appeal of cheaper rent or slightly more space somewhere else.
Workforce access isn’t just an institutional-investor consideration. It can be just as relevant for a five-person biotech company preparing to hire its first two research scientists.
The Bottom Line: Site Selection Is Also a Talent Decision
The strongest overlap between scientific talent and lab space runs along the Peninsula/Silicon Valley corridor, with a second meaningful cluster across the East Bay and Tri-Valley.
The optimal lab site isn’t necessarily the one with the lowest rent or the most square footage. It’s the one that best combines lab functionality, operating economics, and access to the workforce your science actually depends on.
Whether you’re evaluating your first lab space or planning your next expansion, Labspace Directory provides available lab space listings, market intelligence, and practical planning resources to help life science companies make informed site selection decisions.
About This Data
This analysis draws on the U.S. Census Bureau’s American Community Survey (ACS), specifically the 2020-2024 five-year Public Use Microdata Sample (PUMS), released in 2026. PUMS allows for detailed custom breakdowns of educational attainment and field of degree by geography that aren’t available in the Census Bureau’s standard published tables.
Note that because PUMS is based on a sample rather than a full count, and pools five years of responses together for reliability, the figures presented here should be read as solid estimates of regional patterns - not exact headcounts. It’s also important to note that this data identifies where people with these degrees live, not necessarily where they currently work.
Market conditions referenced above draw on Lee & Associates’, CBRE’s, and Cushman & Wakefield’s Q2 2026 Bay Area life sciences market reports, all available in our Market Report Archive.