Evidence Building
Building a High-Salary Benchmark Exhibit When Standard BLS Data Underrepresents Your Market
BLS wage data does not capture equity, bonuses, or specialty-role compensation in high-paying fields. For O-1A petitions where the standard benchmark understates the relevant market, alternative sources are essential. This guide covers which data sources apply by field and how to assemble a defensible salary comparison.
The high salary criterion and its evidence problem
The high salary criterion under 8 C.F.R. § 214.2(o)(3)(ii)(H) requires evidence that the petitioner commands a high salary or other remuneration for services in comparison to others in the field. In most O-1A petitions, practitioners rely on Bureau of Labor Statistics Occupational Employment and Wage Statistics data as the primary benchmark, comparing the petitioner's compensation to the 90th percentile wage for the relevant Standard Occupational Classification code in the relevant geographic market. For many petitioners, this approach is straightforward and sufficient. The challenge arises when the petitioner's market — their occupation, geography, or both — is poorly captured by BLS OEWS data, producing a benchmark that significantly understates the actual wage distribution in which the petitioner competes.
BLS OEWS data has several structural limitations that affect specific occupational categories and markets. The survey is employer-based rather than individual-based, captures wages at the time of survey rather than in real time, and does not include equity compensation or bonuses in most occupational categories — a significant omission for roles in technology, finance, and entrepreneurial sectors where total compensation diverges substantially from base salary. Occupational categories in the BLS taxonomy can also be overly broad, grouping together positions with very different compensation profiles under the same SOC code. A petitioner who is a senior machine learning research scientist at a leading technology company may fall under a SOC code that includes a large population of less specialized software developers, producing a 90th percentile benchmark that does not reflect the actual compensation range for the petitioner's specific role.
Recognizing when the standard BLS approach is inadequate is the first step. The petition attorney should review the BLS OEWS data for the relevant SOC code and compare it against other available sources — Levels.fyi, LinkedIn Salary Insights, Radford compensation surveys, or industry-specific benchmarks — to assess whether the BLS figure reasonably represents the petitioner's market. When alternative sources consistently show a significantly higher wage distribution for the petitioner's specific role and market, the petition should address the discrepancy directly rather than relying solely on BLS data that the adjudicator may independently recognize as inconsistent with the petitioner's employer and title.
What the regulation and case law require for the salary comparison
The regulatory text requires that the petitioner's compensation be high in relation to others in the field. USCIS guidance in the Policy Manual specifies that this comparison should be made against others in the field performing comparable work, not against the general population. The adjudicator applies this criterion by examining whether the petitioner's documented compensation significantly exceeds the prevailing or median wage for the relevant occupational group. Because the regulation uses the phrase high salary or remuneration, it encompasses total compensation, not only base salary — a distinction that matters significantly in fields where equity, bonuses, and benefits constitute a substantial portion of total remuneration.
AAO decisions addressing the high salary criterion have generally held that the petitioner must provide objective benchmark data against which the adjudicator can evaluate the compensation level. A declaration stating that the salary is high, without reference to external wage data, is insufficient. The petition must identify the relevant comparator group — which occupational classification, which geographic market, which experience level — and then document the petitioner's compensation against that group. When the petition relies on non-BLS benchmark data, the cover letter should explain the source, its methodology, and why it is more representative of the petitioner's market than the BLS OEWS figures.
Total compensation exhibits present a common formatting challenge. An employment offer letter that states base salary alone does not document equity or bonus, which may constitute the majority of total compensation in technology and finance roles. The exhibit should include the offer letter, any equity award agreements showing the grant-date value of stock options or restricted stock units, and the employer's documentation of the expected or guaranteed bonus structure. If equity grants are included, the exhibit should explain the vesting schedule and, where applicable, provide a current valuation methodology. The cover letter should aggregate these components into a single total compensation figure and compare it to the benchmark data on the same total-compensation basis.
Alternative data sources that routinely satisfy the criterion
For technology roles, Levels.fyi is a widely recognized, crowdsourced compensation database that tracks total compensation — including base salary, annual bonus, and equity grants — for software engineers, research scientists, and related roles at major technology companies. The site provides searchable data by job title, company, and geographic market, and reports compensation at various experience levels and role classifications. Because Levels.fyi captures equity and bonuses, it produces a total compensation picture that is directly comparable to the petitioner's documented total compensation, unlike BLS OEWS data that typically covers base wages only. When the petition is for a machine learning, software engineering, or applied research role, Levels.fyi data for the specific role title, company tier, and geographic market is often the most credible available benchmark.
For finance professionals, compensation surveys from Radford (an Aon company) and Mercer are industry-standard benchmarks used by compensation departments at major financial institutions and technology companies. These surveys are subscription-based and not publicly accessible, but employers often have access and can provide a letter from the company's human resources or compensation department citing the relevant survey percentile for the petitioner's role and market. An employer letter confirming that the petitioner's total compensation places them above the 90th percentile for their role within the company's internal compensation framework, supported by reference to a recognized compensation survey, can satisfy the criterion without requiring direct submission of proprietary survey data.
For academic roles in fields where BLS data is limited, peer institution salary surveys published by the American Association of University Professors or discipline-specific faculty salary reports provide more field-specific benchmarks than BLS occupational categories. The AAUP annual compensation survey reports median and 90th percentile faculty salaries by institution type, rank, and discipline. A petitioner whose salary significantly exceeds the 90th percentile for their rank and discipline within research-intensive institutions has documented high salary against a comparator population that actually reflects the relevant labor market. Expert letters from senior faculty at other institutions who can confirm that the petitioner's compensation level is exceptional within the academic market for their rank and field are a useful supplement.
Evidence USCIS discounts in salary exhibits
BLS data for an overly broad occupational category that includes substantially lower-paid workers alongside the petitioner's peer group is the most common exhibit weakness in salary-focused petitions. If the petitioner is a senior quantitative researcher at a major investment bank and the cover letter cites the BLS OEWS 90th percentile wage for the broad category covering all financial analysts — including entry-level analysts with base salaries a fraction of the petitioner's compensation — the comparison does not support the extraordinary ability claim. USCIS adjudicators who are familiar with the field may recognize that the cited benchmark understates the relevant market, but the petition cannot rely on the adjudicator to supply this context independently. The benchmark must reflect the correct comparator group.
Salary data from small-sample sources or surveys with limited geographic or occupational coverage is also commonly discounted. A salary benchmark drawn from a local industry association survey covering a handful of respondents does not provide the kind of objective, representative comparator data that the criterion demands. Similarly, compensation data from a single employer or a single research report, without corroboration from independent sources, gives the adjudicator limited confidence that the reported figure reflects a genuine market benchmark. Stronger exhibits combine data from two or three independent sources that converge on the same range, allowing the adjudicator to assess consistency and reliability across sources.
Equity compensation that is described but not valued in a systematic way is frequently treated as insufficient. A statement that the petitioner received a stock option grant, without a specific grant-date value or a current mark-to-market valuation, does not allow the adjudicator to include equity in the total compensation comparison. The exhibit should provide specific equity grant information — number of shares, strike price, grant date, vesting schedule, and a current share price or, for private companies, the most recent 409A valuation — so the equity component can be expressed as an annual economic value and added to the base salary and bonus in the total compensation comparison.
Framing the comparison when the market is genuinely ambiguous
The most challenging salary exhibits arise when the petitioner's role is genuinely interdisciplinary and the relevant comparator population is ambiguous. A research scientist at the intersection of machine learning and molecular biology may fall under software development, life sciences, or both. A computational economist at a technology company may be comparable to economists in academia, economists in government, or software engineers in industry — depending on which dimension of the role is most relevant to the O-1A claim. The petition should make this choice explicitly rather than relying on the adjudicator to identify the appropriate comparator. Expert letters from senior professionals who can explain the relevant labor market and confirm that the petitioner's compensation is high within that market are essential when the comparator population is non-obvious.
When multiple plausible benchmarks exist, the petition should present the comparison against the most appropriate one — typically the market in which the petitioner actually competes for employment — and acknowledge alternative benchmarks rather than ignoring them. If the petitioner's compensation exceeds the 90th percentile under any reasonable comparator, the petition should state this and present the strongest comparison as primary. If the result depends heavily on the choice of benchmark, the cover letter should address this directly and explain why the chosen benchmark is the most appropriate representation of the petitioner's labor market. An adjudicator who identifies the benchmark ambiguity and finds it unaddressed is more likely to issue an RFE than one who finds it anticipated and explained.
Employer attestation letters that speak directly to the salary comparison are particularly useful when benchmark data alone does not tell the full story. A letter from the petitioner's employer confirming that the petitioner's total compensation places them in the top tier at the company — combined with data showing that the company competes for talent at the highest compensation levels in the industry — provides a market-based confirmation of high salary that supplements the statistical benchmark. This is most useful for roles at private companies where equity valuations are not publicly available, for niche occupational categories where BLS data is sparse, and for markets where compensation is rising faster than annual BLS survey updates can capture.
Assembling and auditing the salary exhibit
A well-structured salary exhibit begins with the total compensation calculation. The cover letter should identify each component of the petitioner's compensation — base salary, target or guaranteed annual bonus, equity grants stated as annual fair market value, and any other material elements — and provide a single aggregate figure. It should then identify the benchmark data source, explain why that source appropriately represents the petitioner's labor market, and state at what percentile the petitioner's total compensation falls. The comparison should be made on a like-for-like basis: if the benchmark reports total compensation, compare total compensation; if it reports only base salary, compare base salary and note the additional equity and bonus as supplementary evidence of extraordinary compensation.
Document assembly for the salary exhibit should include the offer letter or most recent compensation letter, equity grant agreements or option grant confirmations with grant-date valuations, any bonus target letters, and the benchmark data source with the relevant occupational category, geographic market, and experience level identified. For equity compensation, include a current share price or 409A valuation for private companies. For BLS data, download the most recent OEWS tables and mark the relevant SOC code, geographic area, and percentile. For alternative benchmark sources such as Levels.fyi, take a screenshot or printout of the relevant search results and note the date of retrieval. Each document should be tabbed and cross-referenced in the cover letter.
Before finalizing, audit the exhibit against the most common RFE grounds. Confirm that the comparator group is appropriate for the petitioner's actual role and market. Confirm that equity compensation is valued in a specific, documented way rather than described in general terms. Confirm that the cover letter states at which percentile the petitioner falls — not merely that the salary is high — so the adjudicator has a clear, specific basis for the extraordinary ability finding. If the petition relies on employer attestation in lieu of public benchmark data, confirm that the letter cites a recognized compensation survey and provides enough specificity for the adjudicator to evaluate the comparison without independently sourcing the survey data.
What we typically gather for this kind of case
| Document | Where to source | Why it matters |
|---|---|---|
| Expert letters | 5–8 independent recognized experts | Quality and independence beat volume |
| Certified translations | ATA-certified translator | Required for any non-English source document |
| Exhibit cover sheets | Drafted by counsel, one per exhibit | Tells the adjudicator what each piece shows |
| Bibliometric reports | Web of Science / Scopus | Quantifies impact for original-contributions criterion |
What we see go wrong, again and again
- 01Sending exhibits without a one-paragraph framing memo explaining what each shows and why it matters.
- 02Relying on volume over specificity — five well-targeted expert letters beat fifteen generic recommendations.
- 03Skipping certified translations or using AI translation for foreign-language source documents.
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