H-1B Lottery Odds by City: How Your Location Changes Your Wage Level

Geography Is Destiny

When most people think about improving their H-1B lottery odds, they focus on salary negotiations. That makes sense — higher wage levels get more weighted entries. But there's a factor that matters just as much as your paycheck: where you work.

The Department of Labor (DOL) sets prevailing wage thresholds for every occupation in every metropolitan statistical area (MSA) in the country. These thresholds reflect local labor market conditions. A salary that qualifies as “experienced” (Level III) in one city might only be “entry-level” (Level I) in another. Under the new wage-weighted system, that difference translates directly into lottery entries: 3 entries versus 1.

For the FY2027 lottery, this geographic dimension is no longer academic. It's the difference between a roughly 50% chance of selection and a roughly 20% chance.

Why Prevailing Wages Vary

Prevailing wages are derived from Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) survey data. The DOL calculates four wage levels for each occupation-area combination based on percentile distributions:

• Level I (17th percentile) — Entry-level positions
• Level II (34th percentile) — Qualified workers
• Level III (50th percentile) — Experienced workers
• Level IV (67th percentile) — Fully competent / supervisory

In metro areas with high concentrations of well-paid tech workers — think Silicon Valley or Seattle — these percentile cutoffs are pushed upward by the local wage distribution. A software developer making $135,000 is below the 17th percentile of wages in San Jose, but above the 50th percentile in Columbus. Same job, same skills, same salary.

The key drivers of these differences are cost of living, local labor demand, industry concentration, and the mix of companies competing for talent in each metro.

Prevailing Wage Thresholds: City Comparison

The tables below show approximate prevailing wage thresholds for Software Developers (SOC 15-1252) across 13 major H-1B metro areas. These are grouped by cost tier.

Note: These are approximate thresholds for illustration. Use the calculator for exact figures based on your specific occupation and location.

High-Cost Metros

Mid-Cost Metros

Lower-Cost Metros

Data source: DOL OFLC prevailing wage data for SOC 15-1252, FY2025-2026. Rounded to nearest $1K for readability.

The $135K Example

Consider a software developer with an offered salary of $135,000. This is a competitive salary by national standards. But watch what happens to their wage level — and their lottery odds — depending on the work location:

Same person. Same salary. Same occupation. The only difference is the city listed on the Labor Condition Application (LCA). The developer in Columbus has roughly three times the selection probability of the developer in San Jose.

This isn't a flaw in the system — it reflects the reality that $135,000 represents a very different level of compensation relative to the local market in Columbus versus Silicon Valley. But for H-1B applicants, the practical impact is enormous.

Strategic Implications

Understanding the geographic dimension opens up legitimate strategic questions:

• Office location matters for multi-office employers. If your company has offices in both San Francisco and Austin, the office where you'll actually perform work determines which prevailing wage thresholds apply. A transfer to the Austin office could bump you from Level I to Level II or beyond.
• Remote work complicates things. For remote positions, the prevailing wage is based on the location where the worker physically performs their duties. If you work from home in a lower-cost metro while your employer is headquartered in San Francisco, the LCA should reflect your actual work location.
• Salary negotiations have a geographic context. When evaluating an H-1B offer, the raw salary number isn't the full picture. A $130K offer in Atlanta (Level III, 3 entries) may give you better lottery odds than a $145K offer in San Francisco (Level II, 2 entries) — even though the San Francisco offer is $15K higher.

For employers sponsoring H-1B workers, awareness of this dynamic can inform workforce planning. Placing a role in a lower-cost metro — where the prevailing wage thresholds are lower — improves the chances that the sponsored worker will be selected in the lottery.

Beyond Software Developers

While this article uses Software Developers (SOC 15-1252) as the primary example, the same geographic pattern holds for every H-1B occupation. Financial analysts, mechanical engineers, data scientists, management consultants — all of these occupations have prevailing wage thresholds that vary by metro area based on local BLS wage data.

The magnitude of the geographic gap varies by occupation. Tech roles tend to show the widest spreads because of the extreme wage premium in Silicon Valley and Seattle. Other occupations may have narrower but still meaningful differences between high-cost and lower-cost metros.

Use the H1B Score calculator to check the exact thresholds for your specific occupation and metro area.

Important Caveats

Before making any decisions based on geographic strategy, keep these critical points in mind:

• The work location must be genuine. The location on the LCA must be where the H-1B worker will actually perform their job. Filing an LCA for a lower-cost city while the worker actually works in a higher-cost one is a violation of DOL regulations and can result in serious consequences for both the employer and the worker.
• DOL conducts audits. The Department of Labor actively audits LCA filings. Employers must maintain a public access file and demonstrate that the listed work location is accurate. Misrepresenting the work location can trigger debarment from the H-1B program.
• You cannot game the system. Wage-level arbitrage by misrepresenting your work location is fraud. The geographic strategy discussed here only applies to legitimate scenarios — for example, genuinely relocating to a different office, or choosing between two real job offers in different cities.
• Thresholds are approximate. The figures in this article are rounded approximations based on recent DOL data. Actual prevailing wage determinations can vary based on the specific occupation code, the exact MSA boundaries, and the DOL's most recent data updates. Always verify your specific situation using the calculator or the DOL's Online Wage Library.
• Odds are estimates. The selection probabilities shown here are based on projected FY2027 registration volumes and wage-level distributions. Actual odds will depend on the final numbers after the registration period closes.