SF Bay Area at a Glance
Timeline: SF's H-1B Story
Dot-Com Bust Recovery
After the dot-com crash, SF H-1B filings dropped nearly 40%. The cap was lowered from 195,000 to 65,000 in 2004. Many sponsored workers left, and tech hiring shifted to cost centers outside the Bay Area.
Web 2.0 Boom
Google's IPO (2004) and Facebook's rise ignited a new wave of H-1B demand. Yahoo, eBay, and early-stage startups pulled software engineers from around the world. SF metro H-1B petitions doubled from ~18k to ~36k.
Mobile Revolution & Startup Explosion
The iPhone/Android ecosystem created massive demand for mobile engineers. SF overtook NYC as the #1 H-1B metro area by petition count. Median salaries crossed $120k. Uber, Airbnb, and Dropbox emerged as top sponsors.
Peak Concentration & FAANG Dominance
FAANG companies filed a disproportionate share of national H-1B petitions. SF metro median H-1B salary hit $150k+. The region accounted for ~15% of all US H-1B computer occupation petitions despite having ~3% of the population.
COVID & Remote Work Shift
Pandemic-era remote work caused some H-1B deconcentration as companies allowed remote sponsorship. SF petition share dipped slightly as Austin, Miami, and other metros gained. However, absolute numbers remained high.
AI Boom & Return to Office
The generative AI explosion (OpenAI, Anthropic, etc.) reignited SF H-1B demand. RTO mandates from Google, Meta, and Salesforce re-anchored workers in SF. AI/ML engineer salaries pushed median above $165k.
Weighted Lottery Era
The FY2027 wage-weighted lottery disproportionately benefits SF since most SF jobs pay Level III-IV wages (top two quartiles). Estimates suggest SF-based petitions see an ~18% higher selection rate compared to the old flat lottery.
Top SF Bay Area LCA Filers
FY2026 H1 · 183 companiesCertified LCA filings with DOL from Oct 2025–Mar 2026 for Bay Area worksites (9-county). Not USCIS H-1B approvals — see the note above the map.
LCA filings from DOL OFLC disclosures for Bay Area worksites (FY2026 H1, Oct 2025–Mar 2026). LCAs are not H-1B petitions or approvals — USCIS petition counts run ~50-70% of LCA filings. Full dataset: LCA Data Explorer.
SF vs Other Major H-1B Metros
Toggle metros to compare. Data reflects FY2024 estimates.
SF Bay Area
NYC Metro
Seattle Metro
SF H-1B Salary Distribution by Wage Level
SF skews heavily toward Level III-IV, giving it a structural advantage under the FY2027 weighted lottery.
74% of SF H-1B positions fall in Level III or IV, compared to a national average of ~45%. This is why the weighted lottery disproportionately favors SF-based petitions.
SF H-1B Industry Breakdown
Why SF Dominates H-1B
San Francisco's dominance in H-1B visa sponsorship is not an accident — it is the product of a self-reinforcing ecosystem:
VC Capital Concentration
SF/Bay Area captures ~35% of all US venture funding, creating new startups that need specialized talent unavailable domestically.
Talent Network Effects
H-1B workers attract more H-1B workers. Engineers refer former colleagues, creating dense networks that startups tap into.
Salary Premium
SF tech salaries are 20-40% above the national median for the same roles, making it easier to meet H-1B prevailing wage requirements.
Immigration Infrastructure
The Bay Area has the highest density of immigration attorneys, relocation services, and HR teams experienced with H-1B processes.
Impact of the FY2027 Weighted Lottery on SF
Starting in FY2027, USCIS replaced the flat random lottery with a wage-weighted selection system. Petitions offering higher wages (relative to prevailing wage levels) receive more chances in the lottery. This structurally advantages high-cost metros like San Francisco.
Because SF employers typically offer salaries in the top two wage quartiles, their petitions receive significantly higher lottery weights. A Level IV petition from a San Francisco tech company has roughly 16 times the selection probability of a Level I petition from a lower-cost metro. This effectively increases SF's share of available H-1B cap slots, further concentrating talent in the Bay Area despite the policy's stated goal of prioritizing high-wage positions nationwide.