EB1A Criterion 9: High Salary Evidence

Criterion 9 — high salary or other remuneration relative to others in the field — is the most quantitative of the EB1A criteria and the most analytically straightforward when the evidence is strong. The analysis is simply: does the compensation data show that this person is compensated at a level that is high relative to peers in the field? When the answer is yes and the data is well-documented, this is one of the cleanest criteria to satisfy. When the answer is no — when compensation is at or near the industry median — no framing will change that result.

Regulatory Text

8 CFR 204.5(h)(3)(ix):

"Evidence that the alien has commanded a high salary or other significantly high remuneration for services, in relation to others in the field."

The operative phrase is "in relation to others in the field." The criterion requires a comparison, not just documentation of a high absolute compensation figure. A salary of $400,000 may be extraordinarily high relative to most professionals in the United States but near the median for a specific medical subspecialty or technology executive role. The comparison must be made correctly to be persuasive.

The USCIS Policy Manual, Volume 6, Part F, Chapter 2 directs adjudicators to evaluate compensation relative to others in the same or similar occupation — not broadly relative to all workers. The comparison population and the data source together determine whether the criterion is satisfied.

Defining the Comparison Population

Getting the comparison population right is the most critical step in building a Criterion 9 argument. USCIS has interpreted "others in the field" to mean practitioners with similar roles and qualifications nationally, not:

Not just the employer's workforce. Internal pay percentiles within a single employer are not the relevant comparison. An alien who is the highest-paid engineer at a company does not satisfy this criterion if that company's compensation is typical for the industry.

Not the broader industry without role specificity. A software engineering manager should be compared to other software engineering managers — not to all software engineers, and not to all technology professionals. The more precisely the comparison population matches the alien's actual role and career stage, the more meaningful the comparison.

Not just one geographic market. National data is preferred. Compensation that appears high relative to the national population of practitioners is stronger than compensation that appears high only in the context of a specific regional market, and weaker if it appears high locally but is average nationally.

Total Compensation: What Counts

The regulatory text's use of "or other significantly high remuneration" is specifically designed to capture compensation structures beyond base salary. For many professionals — particularly in technology, finance, and business — total compensation substantially exceeds base salary.

Components that can be included:

Base salary. The annual fixed salary documented by W-2 or offer letter.

Cash bonus. Annual performance bonuses, signing bonuses, and retention bonuses — documented by W-2 or bonus award letters.

Equity compensation. RSUs, stock options, and performance equity grants. For technology professionals, equity is often the largest component of total compensation. Document: the equity grant agreement, the vesting schedule, and the fair market value at the time of grant or the current market price. The standard practice is to annualize equity grants over the vesting period.

Profit distributions. For business owners and partners, documented profit distributions from the entity.

Other remuneration. Royalties, licensing fees, speaking fees, and consulting income are all remunerable and can be included in the total compensation calculation.

How to present total compensation:

State the methodology clearly in the petition letter and provide a calculation exhibit: Base salary $X + Annual bonus $Y + Annualized equity grant value $Z = Total annual compensation $[total]. Show the comparison: this total compensation places the petitioner at the Nth percentile nationally for [occupation] according to [data source].

Comparison Analysis by Profession

Technology professionals. Total compensation is the correct metric — base salary alone substantially understates compensation for engineers and product leaders at major technology companies. Use Levels.fyi for role-and-company-specific total compensation data alongside BLS OES for national percentile positioning. Technology professionals at L6/L7/Staff/Principal levels at major companies often have total compensation at or above the 90th percentile nationally, even when their roles appear ordinary by Silicon Valley standards.

Physicians and medical professionals. The Medical Group Management Association (MGMA) conducts annual physician compensation surveys by specialty — the most accepted source for medical field comparisons. The comparison must be within the specialty, not to all physicians. An interventional radiologist earning $700,000 may be near the median for that subspecialty, while an internist earning $350,000 is well above median for general internal medicine. The American Medical Association also publishes annual physician compensation data.

Academic researchers. Academic compensation requires a broader view. Faculty base salaries at many institutions appear modest by industry standards. Document all components: the institutional salary, any supplement from endowed funding, grant-funded summer salary, consulting income, speaking fees, and royalties. Compare to BLS OES data for postsecondary teachers by discipline. Endowed chair salaries specifically tend to place holders above the 90th percentile for their academic discipline.

Finance and business professionals. For investment banking, private equity, and fund management, industry-specific data from financial services associations or compensation databases is appropriate. Carried interest and performance-based compensation for senior fund roles can produce total compensation well above broad industry comparisons — document methodology carefully as these compensation structures require explanation.

Creative professionals. Annual residuals, licensing income, commissions, and royalties count toward total remuneration. For commercial photographers, illustrators, and designers, industry rate cards from professional guilds (ASMP, GAG, APA) provide comparison data. Document all income streams systematically.

Documentation Package

A complete Criterion 9 evidence package includes three components:

1. Compensation documentation. The primary documents establishing what the alien was paid: W-2 for the most recent full year (within 2 years is strongest); offer letter showing base, bonus, and equity components; equity grant agreements with vesting schedules; tax returns (Schedule C for self-employed); and any other compensation documentation.

2. Total compensation calculation. A clear exhibit presenting the total compensation methodology — all components identified, values documented, calculation shown. For equity, show the annualization methodology. Present a single bottom-line total annual compensation figure that is then used in the comparison.

3. Comparison data with percentile calculation. The salary survey or database showing the national distribution for the relevant occupation. The specific occupation code or category used. A clear statement of where the alien's total compensation falls in the distribution. Many attorneys present a table:

This table format makes the comparison argument clear and auditable.

Interaction with the Kazarian Step 2 Analysis

Under Kazarian v. USCIS, 596 F.3d 1115 (9th Cir. 2010), USCIS must evaluate extraordinary ability in two distinct steps. High compensation is market evidence that the alien's services command a premium — which is itself evidence of extraordinary value to the field. For Step 2, the salary argument is a proxy for the market's assessment of the alien's standing relative to peers.

The Step 2 argument should be: "The alien's compensation, at the Nth percentile nationally for [occupation], reflects the market's assessment of the alien's extraordinary value relative to peers. The fact that [employer] — a distinguished organization with access to the entire national talent pool — compensates this person at a level it reserves for its most exceptional contributors is external market validation of the alien's extraordinary ability."

For the complete Step 2 framework, see Kazarian Step 2: Writing the Final Merits Argument. For non-academic professionals building a case primarily on Criteria 5, 8, and 9, see EB1A without publications: what evidence works.

RFE Response Strategy

"The record does not establish that the petitioner's salary is high in relation to others in the field."

The petition likely submitted the salary documentation but used inadequate comparison data. Response: Submit updated BLS OES or professional association survey data specifically for the petitioner's occupation and career level. Present a clear percentile calculation using the correct peer group. If the original petition compared to the wrong occupation category, explicitly correct the comparison and explain why the new category is the appropriate peer group for this specific role.

"The evidence does not provide a comparison to others in the same or similar occupation."

Response: Reframe the comparison to the correct peer group with clearly labeled data. Present the table format described above: occupation, data source, national percentile distribution, alien's compensation, and calculated percentile. If needed, supplement with an expert declaration from an HR or compensation professional explaining how compensation in this specific subspecialty is structured and why the alien's compensation places them in the top tier.

For the complete EB1A petition framework and how Criterion 9 combines with Criteria 5 and 8 for non-academic professionals, see the EB1A petition guide. The complete RFE patterns for salary comparison evidence are covered in the EB1A RFE prevention playbook. For the evidence strategy by client profile, see EB1A evidence strategy by client profile.

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