Policy Deep-Dive

H1B Wage-Based Lottery: How It Works in 2026

The H1B wage-based lottery replaced the old random-draw system. Higher wages mean higher selection priority. Here's exactly how the four-tier system works and what it means for your odds.

The H1B wage-based lottery is a selection mechanism introduced by USCIS under the H-1B Modernization Final Rule, formally taking effect for the FY2025 registration cycle (March 2024). Before this change, the H1B lottery was entirely random, every registered beneficiary had an equal statistical chance of selection regardless of the salary offered, the employer's size, or the complexity of the role. A consulting firm placing a fresh graduate at $65,000 had identical odds to Google offering a principal engineer $350,000.

The wage-based system fundamentally changes that. USCIS now uses the Department of Labor's four prevailing wage tier framework, the same tiers used in the Labor Condition Application (LCA) process, to prioritize which registrations are selected first. Tier IV (the highest wage level) is selected first, followed by Tier III, then Tier II, and finally Tier I, until the 65,000 regular cap and 20,000 master's cap quotas are filled. If the cap is reached within a tier, a random lottery is run within that tier to allocate remaining slots.

According to the USCIS H-1B specialty occupations page, this policy change was explicitly designed to reduce gaming of the lottery system and to ensure that H1B visas go to workers whose employment generates the greatest economic benefit to the United States. Critics argue it unfairly benefits large, well-resourced tech companies and disadvantages smaller employers and consulting firms. Supporters argue it better aligns the H1B program with its stated purpose of attracting highly skilled workers.

The Four H1B Lottery Wage Tiers Explained

The DOL prevailing wage system assigns each occupation-location combination four wage thresholds based on Bureau of Labor Statistics data. Your employer's offered wage determines which tier your registration falls into. These tiers are updated by DOL annually and vary by occupation (SOC code) and geographic area (MSA).

Level I

Entry-Level

Est. selection rate: ~5–10%

Wages at the 17th percentile. Workers performing routine duties under close supervision with limited experience required.

Benefits: Staffing firms, outsourcing companies, Lowest priority in lottery

Level II

Qualified

Est. selection rate: ~15–25%

Wages at the 34th percentile. Workers with some experience requiring minimal supervision. Most mid-career consulting placements fall here.

Benefits: Mid-tier consulting firms, Lowest priority in lottery

Level III

Experienced

Est. selection rate: ~35–55%

Wages at the 50th percentile. Fully competent workers performing tasks independently. Typical for direct-hire tech roles at mid-tier companies.

Benefits: Mid-to-large tech companies, finance firms, High priority in lottery

Level IV

Fully Competent / Lead

Est. selection rate: ~65–80%

Wages at the 67th percentile and above. Expert-level workers with specialized knowledge or management responsibilities. Big Tech and Wall Street roles.

Benefits: FAANG, hedge funds, pharma R&D, High priority in lottery

Why USCIS Implemented the Wage-Based Lottery?

The primary driver was the explosion in fraudulent registrations during FY2023 and FY2024. In FY2024, a record 780,884 registrations flooded the system, nearly five times the number of available visas. DOJ and USCIS investigations found that large numbers of staffing companies were submitting multiple registrations for the same individual workers under different shell employers, artificially inflating their clients' chances of selection. One investigation identified a single individual registered 83 times by different employers.

By tying priority to the offered wage, which must be substantiated by an approved Labor Condition Application, the wage-based system creates a meaningful verification hurdle. Fabricating a Level IV wage offer for a fraudulent registration requires submitting and receiving approval for an LCA with a corresponding high wage, which triggers DOL auditing and employer accountability mechanisms. This dramatically raises the cost and risk of fraudulent multi-registration schemes.

Secondary goals include better aligning H1B outcomes with immigration policy objectives: attracting workers who fill genuine skill gaps, generate significant tax revenue, and contribute to innovation. Analysis of DOL prevailing wage and LCA data shows that median H1B wages rose approximately 14% between FY2023 and FY2026, partly attributable to the wage-priority system incentivizing employers to offer higher wages to remain competitive in the lottery.

Old Random Lottery vs. New Wage-Based System

AspectOld Random LotteryWage-Based System (Current)
Selection methodPurely random lottery, all registrations equal probabilityWage-tier based, higher wages selected first until cap filled
Advantage for high earnersNo advantage; $300K offer = $50K offer in lotterySignificant advantage; Level IV selected before Level I
Consulting firm impactNeutral, same odds as direct-hire employersNegative, Level I/II wages receive last-priority selection
Big Tech impactNeutral, same odds as small staffing shopsPositive, Level III/IV wages receive priority selection
Gaming vulnerabilityHighly gameable, mass fake registrations inflated FY2024 to 780KWage data audited via LCA; harder to fraudulently inflate tiers
Policy goalRandom distribution across all employer typesPrioritize economically impactful, high-productivity workers

Real-World Wage Tier Examples

The table below illustrates how the same occupation at different wages and locations lands in different tiers, and what that means for lottery odds. Prevailing wages are set by MSA (metropolitan statistical area) and SOC code; they are not national averages.

Role / Employer TypeOffered WageLocationWage TierEst. Odds
Software Engineer at FAANG$195,000San Francisco, CALevel IVHigh (~70%+)
Software Engineer at Mid-Size Startup$130,000Austin, TXLevel IIIModerate (~45%)
IT Consultant via Staffing Firm$85,000Dallas, TXLevel IILow (~20%)
Junior Developer via Outsourcing Co.$62,000Chicago, ILLevel IVery Low (~8%)

Estimated selection rates are illustrative; actual rates depend on total registrations per tier in any given year.

Who Benefits Most, and Who Is Disadvantaged?

Employers and Workers Who Benefit

  • + Large technology companies (FAANG, Microsoft, Apple) offering Level IV wages
  • + Investment banks and hedge funds with high-compensation roles
  • + Pharmaceutical and biotechnology research companies
  • + Workers with specialized skills who can command Level III–IV offers
  • + Foreign nationals with US master's or PhD degrees in STEM
  • + Workers who negotiate higher wages with their sponsoring employers

Employers and Workers Disadvantaged

  • − IT consulting and staffing firms that place at Level I–II wages
  • − Small businesses that cannot afford Level III–IV salaries
  • − Employers in lower-cost-of-living metros with lower prevailing wages
  • − Workers in entry-level roles straight out of a bachelor's program
  • − Outsourcing companies and body-shop staffing arrangements
  • − Nonprofit organizations with limited salary budgets

How to Determine Your Wage Tier Before Registration?

  1. 1. Go to the DOL Foreign Labor Certification wage data portal.
  2. 2. Select "Online Wage Library" and choose the current year's wage data.
  3. 3. Enter your SOC (Standard Occupational Classification) code, e.g., 15-1252 for Software Developers.
  4. 4. Enter the Metropolitan Statistical Area (MSA) of your work location, not just the city name.
  5. 5. The result shows four wage thresholds, Levels I, II, III, and IV. Compare your offered wage to these thresholds to identify your tier.

Use our H1B Wage Level Calculator to quickly look up your occupation and location and see which tier your offer falls into. You can also browse our H1B sponsors database to find employers known to offer Level III–IV wages.

Frequently Asked Questions: H1B Wage-Based Lottery

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Sumit Patel

SMIEEE · FBCS · FIETE | 16+ years data engineering | 30+ peer-reviewed papers

Sumit built H1BVisaJobs.com on 10 GB+ of DOL LCA disclosure data (FY2022–FY2025). All immigration data and analysis on this site comes from primary government sources.