{"sections":[{"heading":"The high salary criterion and what it demands","paragraphs":["The O-1A high salary criterion, codified at 8 C.F.R. § 214.2(o)(3)(ii)(A)(7), asks for evidence that the beneficiary has commanded, or currently commands, a high salary or other substantial remuneration for services in relation to others in the field. The criterion is inherently comparative: it requires a benchmark. Without a market reference point, raw salary figures mean nothing to the adjudicator. A given annual salary is unremarkable in one market and extraordinary in another, depending on occupation, geography, and years of experience. USCIS has consistently required petitioners to supply the comparison data, not merely assert that the beneficiary earns well.","The criterion applies to both employed and self-employed beneficiaries, though the documentary challenges differ. For W-2 employees, recent pay stubs, offer letters, or employer declarations establish the current or commanded salary with relative ease. For equity-compensated founders, contractors, or contingent workers, the calculation involves total compensation — base salary, equity grants, bonuses, and profit distributions — and requires additional explanation of how non-cash elements should be valued. Regardless of employment structure, the analysis always returns to the comparison: how does the beneficiary's total compensation rank against the field?","This article focuses on the mechanics of the salary criterion comparison, with particular attention to using Bureau of Labor Statistics Occupational Employment and Wage Statistics data as the benchmark. It explains how to select the right occupational code and geographic market, how to present the comparison persuasively in the cover letter, and where petitions commonly go wrong in an RFE. The goal is a practical guide for practitioners building or auditing the high salary criterion in 2026."]},{"heading":"What the regulation requires","paragraphs":["The regulation does not define 'high salary' as a fixed threshold or a specific percentile of the wage distribution. The Policy Manual similarly provides no bright-line rule, instructing instead that the relevant comparison is to others in the field — meaning practitioners must define the appropriate peer group and demonstrate where the beneficiary falls within it. USCIS has accepted comparisons at the 75th, 90th, and 95th percentiles of relevant wage distributions, while declining to credit salaries that fall at or near the median, even in nominally high-paying fields. There is no published floor, but petitions relying on compensation below the 90th percentile face increased scrutiny.","The 'in relation to others in the field' language has been interpreted to require that the comparison group mirror the beneficiary's occupation and level as closely as possible. A general comparison of the beneficiary's salary to all workers in a broad sector overstates the contrast when the beneficiary's occupation is among the highest-paid within that sector. Conversely, comparing the beneficiary's compensation to only the most senior executives in the industry may be appropriate when the beneficiary holds a position at that level. The Policy Manual's guidance on totality of circumstances applies here: the comparison group's scope affects how compelling the percentile ranking appears.","Wage data sources must be credible and current. USCIS has accepted BLS OEWS data as the primary benchmark in a substantial share of O-1A adjudications, alongside employer salary surveys from recognized compensation research firms. Data from online job boards, self-reported compensation databases, and informal industry surveys typically draw RFE challenges on reliability grounds. The 2026 adjudication environment continues to reflect the post-Kazarian framework: each criterion must be established with direct, credible evidence, and speculative or anecdotal wage comparisons do not satisfy the standard."]},{"heading":"BLS OEWS data that satisfies the criterion","paragraphs":["The BLS OEWS program publishes annual wage estimates for over eight hundred occupational codes across national, state, and metropolitan statistical area geographies. The data includes the 10th, 25th, 50th, 75th, and 90th percentile annual wages for each code and geography, making it straightforward to position the beneficiary's compensation relative to the distribution. When the beneficiary earns above the 90th percentile for their occupational code in their labor market, the OEWS data is typically self-sufficient: a one-page exhibit presenting the relevant row from the OEWS table, with the beneficiary's compensation annotated, creates a clean comparison that most adjudicators accept.","Selecting the right occupational code is the most consequential analytical step. The BLS SOC taxonomy is organized hierarchically, with broad occupation categories subdivided into increasingly specific codes. When the beneficiary's role maps cleanly to a specific six-digit SOC code — a software developer, a biochemist, or an aerospace engineer — the choice is straightforward. When the beneficiary holds an interdisciplinary role, a newly emerged occupation, or a C-suite title that spans multiple functions, the choice becomes interpretive. Practitioners should select the code that most accurately describes the beneficiary's primary duties, not the code that produces the most favorable percentile ranking. Using a mismatched code can draw an RFE that undermines the entire salary exhibit.","Geographic selection matters nearly as much as occupational code selection. OEWS data is available at the national level, the state level, and the metropolitan statistical area level. For most beneficiaries, the relevant market is the MSA where they are employed or where the petition establishes they will work. National data is appropriate only when the beneficiary's role is genuinely national or international in scope — a chief executive who sets compensation nationally, or a research scientist at a national laboratory with a defined national pay scale. Using national data for a locally-employed beneficiary in a below-average-cost market can depress the apparent percentile ranking; using MSA data for a beneficiary in a high-wage metropolitan area generally produces a more favorable and accurate comparison."]},{"heading":"Salary evidence that USCIS regularly discounts","paragraphs":["USCIS officers have consistently declined to credit salary comparisons based on self-reported compensation databases. Platforms that aggregate user-submitted salary data suffer from selection bias, incomplete data, and limited geographic granularity. The officer reviewing an exhibit that relies solely on such a source will typically note the absence of a verified, government-produced wage benchmark and issue an RFE asking for BLS data or a comparable authoritative source. Practitioners should treat these platforms as supplementary corroboration at most, never as the primary benchmark.","Comparisons based on the beneficiary's prior salary at a different employer, or on a salary at a significantly earlier date, are frequently challenged. The relevant benchmark is the current or recently commanded salary in relation to the field as it exists at the time of filing. An exhibit that documents a high salary from three years ago without establishing that the beneficiary continues to command comparable compensation raises the question of whether the high salary criterion is currently met. When the beneficiary's compensation has changed materially — through a job change, an equity event, or a shift to self-employment — the exhibit must address the full current compensation picture, not rely on historical figures.","Total compensation arguments based on projected equity value or unvested stock grants are a common source of RFE. USCIS adjudicators generally require that non-cash compensation be realized or at minimum fully vested and immediately liquid before it is counted toward the comparison. An offer of equity in an early-stage company with no established market value typically does not satisfy the criterion on its own, though it may supplement a base salary that otherwise meets or approaches the relevant threshold. When building a total compensation argument that includes equity, the exhibit should include documentation of the grant terms, a current valuation where available, and an explanation of the methodology for converting equity to an annualized cash-equivalent figure."]},{"heading":"Framing the benchmark comparison effectively","paragraphs":["The cover letter narrative for the high salary criterion should present the comparison in one clear, verifiable sequence: the beneficiary's current annual compensation, the relevant OEWS occupational code and geography, the 90th percentile wage for that code and geography in the most recent OEWS release, and the resulting percentile ranking. Expressing the result as a specific percentile — for example, that the beneficiary's total annual cash compensation places them above the 90th percentile of the relevant occupational wage distribution in their metropolitan statistical area — leaves the adjudicator with a concrete, verifiable claim that does not require interpretation.","When total compensation includes non-cash elements, the letter should present a layered analysis: cash compensation alone with its percentile ranking; total cash-equivalent compensation including vested equity and bonuses with an independent percentile ranking; and a summary that notes which figure is being relied upon to meet the criterion. This structure prevents the adjudicator from raising questions about double-counting or unsubstantiated claims, and it gives the officer a clear path to the result even if they apply a conservative methodology that excludes non-cash elements.","The cover letter should also address the occupational code choice directly. A one-sentence explanation of why the selected code represents the beneficiary's primary duties — referencing the BLS occupation definition and the duties described in the I-129 support letter — ties the wage comparison to the petition record and prevents the adjudicator from questioning whether a more or less favorable code would have been more appropriate. This pre-emptive framing is particularly important for interdisciplinary roles and for beneficiaries whose titles do not map cleanly to a single SOC code."]},{"heading":"Building and auditing your salary evidence file","paragraphs":["The salary criterion exhibit requires three categories of documentation: evidence of the beneficiary's compensation, evidence of the comparison benchmark, and evidence tying the two together in a coherent narrative. The first category includes pay stubs covering a recent consecutive twelve-month period, the most recent W-2 or equivalent tax document, the offer letter or employment agreement specifying base salary and bonus structure, and — for equity compensation — the equity grant agreement and a current statement of vested holdings. For self-employed beneficiaries, a profit and loss statement, a corporate tax return, or a CPA-prepared compensation analysis substitutes for employer-issued documents.","The second category — the benchmark — requires a printed or exported copy of the relevant OEWS table for the selected occupational code and geography, drawn from the most recent annual OEWS release. As of 2026, practitioners should confirm they are using the most recently published OEWS data, which the BLS typically releases in the spring of each year for the prior survey year. Using data that is more than two releases old can draw scrutiny about currency, particularly in fields where wages have shifted materially. The exhibit should clearly identify the release year on the face of the document.","The third category — the narrative — is the cover letter section that performs the comparison. A thorough audit of the salary exhibit checks that the compensation figure in the narrative matches the documentation to the dollar, that the OEWS table cited in the narrative matches the table included in the exhibit, that the occupational code in the narrative matches the SOC code printed in the OEWS table, and that the geography in the narrative matches the geographic classification in the table. Arithmetic errors and reference mismatches are the most common quality failures in salary exhibits, and they are the easiest for an adjudicator to spot. A clean, internally consistent exhibit with no discrepancies is the minimum standard for a criterion that turns on a straightforward comparison."]}],"article":{"title":"Using Salary Surveys and BLS OEWS Data to Build the High Salary Criterion Argument in 2026","excerpt":"The O-1A high salary criterion requires a benchmark comparison, and BLS OEWS data is the most accepted source. Choosing the right occupational code, the right geographic market, and the right methodology makes the difference between a persuasive exhibit and an RFE.","category":"Evidence Building","date":"Sep 27, 2026","readTime":"8 min read"},"prev":{"title":"USCIS Policy Manual Update on O-1B Critical Role: What Changed and What Stayed the Same in 2026","slug":"uscis-policy-manual-update-on-o-1b-critical-role-what-changed-and-what-stayed-the-same-in-2026"},"next":{"title":"Documenting Peer Review Service at Academic Conferences as O-1A Judging and Evaluating Evidence","slug":"documenting-peer-review-service-at-academic-conferences-as-o-1a-judging-and-evaluating-evidence"},"related":[{"title":"Using Conference Proceedings as Scholarly Article Evidence for O-1A Petitions","slug":"using-conference-proceedings-as-scholarly-article-evidence-for-o-1a-petitions"},{"title":"O-1A Salary Criterion When Your Employer Pays in Equity: 2026 Guide","slug":"o-1a-salary-criterion-when-your-employer-pays-in-equity-2026-guide"},{"title":"How to Document a Residency Award as O-1B Critical Role Evidence","slug":"how-to-document-a-residency-award-as-o-1b-critical-role-evidence"},{"title":"Documenting Peer Review Service at Academic Conferences as O-1A Judging and Evaluating Evidence","slug":"documenting-peer-review-service-at-academic-conferences-as-o-1a-judging-and-evaluating-evidence"},{"title":"How to Use Social Media Metrics as O-1B Press and Recognition Evidence Without Overstating Their Weight","slug":"how-to-use-social-media-metrics-as-o-1b-press-and-recognition-evidence-without-overstating-their-weight"},{"title":"How Invited Speaker Engagements Can Serve as Judging and Evaluating Evidence in an O-1B Petition","slug":"how-invited-speaker-engagements-can-serve-as-judging-and-evaluating-evidence-in-an-o-1b-petition"}]}