Career Strategy
Salary Benchmarks for O-1A High Salary Criterion: August 2026 Data by Field and Location
The O-1A high salary criterion requires clearing the 90th percentile benchmark for your occupation and location, but selecting the right BLS occupational code and geographic comparison makes the difference. Here is how practitioners use August 2026 OEWS data across technology, academic, and professional fields.
The high salary criterion in August 2026
The O-1A high salary criterion under 8 C.F.R. § 214.2(o)(3)(iii)(B)(8) requires evidence that the petitioner commands a high salary or remuneration for services in relation to others in the field. USCIS has consistently interpreted this criterion by reference to published wage data, most commonly the Bureau of Labor Statistics Occupational Employment and Wage Statistics survey, which provides annual wage data by occupation and metropolitan area. The BLS OEWS releases updated data each spring reflecting wages from the prior survey year. For petitions filed in mid-to-late 2026, the May 2026 release provides the most current publicly available occupational wage benchmarks and should be used as the primary comparison source.
The standard practitioners use to satisfy the high salary criterion is that the petitioner's salary or remuneration falls at or above the 90th percentile for workers in the same occupation and geographic area as reported by BLS OEWS. USCIS has accepted this benchmark as a reasonable working definition of high relative to others in the field, though the standard is not codified in regulation or official policy. Some practitioners argue for a lower threshold, particularly where compensation includes equity, bonuses, or other forms of remuneration beyond base salary, but the 90th percentile represents the conventional threshold at which most experienced practitioners are comfortable including the criterion in the petition. Petitioners whose salary falls below this level face a progressively more difficult argument.
The comparison population matters as much as the threshold. A petitioner whose salary is high relative to all workers in an occupation nationally may not be at the 90th percentile when the comparison is narrowed to the relevant metropolitan area, where wage levels often differ substantially from the national median. A technology role salary that exceeds the national 90th percentile for the occupation may fall below the San Francisco Bay Area 90th percentile for the same occupation, because Bay Area wages in technology fields are concentrated at the upper tail of the national distribution. Practitioners preparing the high salary criterion exhibit must select the correct geographic comparison level to avoid overstating or understating the claim.
What the regulation requires
The regulatory standard at 8 C.F.R. § 214.2(o)(3)(iii)(B)(8) requires that the salary be high relative to others in the field but does not define high or specify the comparison data source. The AAO has consistently interpreted the criterion to require a comparison between the petitioner's remuneration and the remuneration of workers in the same field of specialization, and has affirmed the use of BLS OEWS data as an appropriate benchmark source. BLS OEWS data are organized by Standard Occupational Classification codes, which define occupation categories at varying levels of specificity. Selecting the correct SOC code for the petitioner's occupation is the first step in using the BLS data correctly for O-1A high salary purposes.
The SOC code system includes major groups, detailed occupations, and national industry-specific estimates. For most O-1A petitions, the detailed occupation code provides the most useful comparison. A computational biologist might be correctly mapped to SOC 15-1221 (Computer and Information Research Scientists), SOC 19-1042 (Medical Scientists, Except Epidemiologists), or a related code depending on the specific job duties and research context. Using an overly broad code that encompasses hundreds of distinct occupations results in a benchmark that may misrepresent wages in the petitioner's specific field. Practitioners should map the SOC code to the petitioner's actual duties and research area rather than to the closest available occupational title by name alone.
Where BLS OEWS data are not available at the required specificity, alternative wage data sources that USCIS accepts include surveys published by professional associations, salary reports from recognized industry compensation consultants, and peer institution salary benchmarks published by universities or research institutes. The American Association of University Professors publishes annual salary data by faculty rank and institutional category that is widely used in academic O-1A petitions. The Radford Global Compensation Database and the National Compensation Survey are additional sources practitioners reference for occupations with limited BLS OEWS coverage. Each source should be documented in the petition exhibit with its methodology, survey date, and publisher.
August 2026 benchmark context by field and location
For technology occupations, August 2026 data continues to show steep geographic variation that practitioners must account for. Software developers (SOC 15-1252), computer and information research scientists (SOC 15-1221), and data scientists (SOC 15-2051) all show 90th percentile wages in the San Francisco-Oakland-Hayward metropolitan division and the Seattle metropolitan area that substantially exceed the national 90th percentile for the same occupations. Petitioners in technology roles based in these markets should compare their compensation against the metropolitan-level BLS data rather than the national benchmark, which will understate the wage bar. In lower-wage markets, the national comparison often produces a more favorable percentile result.
For academic researchers, the wage comparison depends on rank, institution type, and field. Faculty salaries in the life sciences, computer science, and engineering at research universities typically place full professors at the upper portion of the distribution for academic occupations, but the relevant comparison for O-1A purposes is the occupational category that best describes the petitioner's actual work. A researcher whose work is classified under Biochemists and Biophysicists (SOC 19-1021) will find different OEWS benchmarks than one classified under Postsecondary Teachers (SOC 25-1000s). Practitioners should identify the BLS occupational category that most accurately reflects the petitioner's duties and compare the petitioner's compensation against that category's data at the relevant geographic level.
For legal professionals and financial analysts seeking O-1A status in research or advisory roles, the BLS OEWS data for Lawyers (SOC 23-1011) and Financial Analysts (SOC 13-2051) provides wage information routinely used in compensation benchmarking. Compensation in these fields is heavily influenced by years of experience, institutional prestige, and the specific practice area or investment strategy, factors that a simple percentile comparison across all practitioners in the occupational category does not fully capture. Expert letters from compensation professionals who can contextualize the petitioner's compensation within the appropriate career cohort and market segment are especially useful in these fields, where the occupational category itself is too broad to tell the complete story.
Evidence USCIS regularly discounts
Total compensation figures that include unvested equity, projected bonuses, or notional benefits are regularly discounted by USCIS when the base salary alone does not meet the applicable benchmark. The criterion requires high remuneration for services rather than high projected or contingent value. Stock options and restricted stock units that have not vested are contingent compensation whose actual value depends on future events. While equity compensation is a substantial part of total compensation in technology and biotech sectors, practitioners who rely on total equity-inclusive compensation to satisfy the criterion face a meaningful risk that the adjudicator will discount the unvested component and evaluate only the base salary plus vested cash compensation in comparing against the BLS benchmark.
Compensation comparisons against colleagues at the same institution who are in different ranks or career stages do not satisfy the regulatory standard when the comparison does not establish that the petitioner is high relative to others in the field broadly. An early-career researcher who earns more than graduate students and junior postdoctoral fellows at the same institution is not demonstrating high remuneration in the regulatory sense. The comparison class is the field as a whole, not the petitioner's immediate institutional environment. The BLS OEWS data or equivalent survey data must establish that the petitioner's compensation is high relative to all workers in the relevant occupational category at the relevant geographic level, not merely relative to a narrow institutional cohort.
Compensation data from years significantly prior to the filing date is also problematic. The USCIS officer will generally compare the petitioner's salary against current wage data, not wage data from the year the compensation was originally negotiated. A salary that placed a petitioner at a high percentile in 2022 may fall to a lower percentile if wages in the field have grown faster than the petitioner's own compensation. Practitioners should use the most current BLS OEWS data available as of the filing date and should confirm that the petitioner's current compensation, rather than the starting salary from a prior offer letter, is the compensation being submitted as evidence.
Presenting borderline compensation evidence
Compensation that falls between the 75th and 90th percentile for the relevant occupation and geographic area is the most common borderline scenario. Practitioners handling these cases have two primary options. The first is to adjust the geographic comparison to the most precise metropolitan area in the BLS OEWS data rather than the national benchmark, on the theory that the petitioner's actual wage competition is local. For occupations where the relevant metropolitan area has wages below the national median, this approach can produce a percentile comparison that supports the criterion even when the national comparison does not. The second option is to supplement the BLS comparison with a broader characterization of total remuneration that includes verifiable components of compensation beyond base salary.
Where the petitioner's compensation is structured to include a significant signing bonus, retention bonus, or annual performance bonus that has been consistently paid, a letter from the employer's human resources department confirming the bonus history and the total cash compensation over a recent period can supplement the base salary comparison. A petitioner whose base salary is at the 80th percentile but whose total cash compensation, including a consistently paid annual bonus, places them above the 90th percentile in total cash terms presents a more complete picture of remuneration than base salary alone. The petition should lead with the total cash figure and identify each component clearly, with supporting documentation for each.
Multiple compensation streams are the third path for borderline cases. A researcher who holds a faculty salary supplemented by income from consulting agreements, expert witness engagements, or paid advisory board roles may have total remuneration that collectively exceeds the high salary threshold. Each income stream should be documented separately, with a contract or engagement letter confirming the arrangement and the compensation terms. The petition brief should aggregate the streams explicitly and compare the total against the applicable BLS or survey data benchmark. Practitioners should be aware that USCIS may scrutinize part-time or contingent arrangements that appear inconsistent with the petitioner's primary employment and should be prepared to explain how the various income streams fit into the petitioner's overall professional practice.
Building and auditing the high salary file
Building the high salary exhibit begins with three items: the correct BLS OEWS wage table for the petitioner's occupation and geographic area, documentation of the petitioner's current compensation, and a comparison that clearly shows the petitioner's position in the distribution. The BLS OEWS table should be downloaded directly from the BLS website and labeled in the exhibit with the survey reference date and the geographic level. Highlight the 90th percentile wage for the relevant occupation. The petitioner's compensation documentation should come from a current offer letter, an employment contract, or a payroll statement that reflects the full compensation package. The comparison should be explicit, identifying the petitioner's compensation as a specific figure placed against the 90th percentile benchmark.
Expert letters are not always necessary for the high salary criterion when the BLS data comparison is straightforward and the salary clearly exceeds the 90th percentile. Where the occupation code requires explanation, where the geographic comparison requires justification, or where the compensation structure includes multiple streams that require synthesis, an expert letter from a compensation professional or a senior professional in the field who can confirm that the petitioner's compensation reflects high remuneration within the relevant market adds useful context. The letter should not simply repeat the BLS comparison but should explain why the petitioner's compensation profile is consistent with recognition of exceptional expertise rather than merely a market-clearing wage for a senior employee.
A pre-filing audit of the high salary exhibit should confirm four things: that the BLS data is current, that the SOC code is accurate, that the petitioner's compensation documentation covers the full compensation relevant to the comparison, and that the comparison is stated clearly enough that an adjudicator unfamiliar with wage data analysis can follow it without reference to outside materials. A one-page summary table that shows occupation, geographic area, 90th percentile wage, petitioner's compensation, and the resulting conclusion is a more effective presentation than a raw exhibit dump. The criterion should be argued explicitly, not left as an assumption the adjudicator is expected to draw from the documentation alone.
What we typically gather for this kind of case
| Document | Where to source | Why it matters |
|---|---|---|
| Peer-reviewed publications | Web of Science / Scopus exports | Anchors original-contributions and authorship criteria |
| Citation analysis | Google Scholar profile + ESI top-1% data | Quantifies major significance in the field |
| Salary benchmark | BLS OEWS for SOC code + locality | Documents high-salary criterion at 90th-percentile or above |
| Critical-role letters | Direct supervisor + program director | Establishes role's importance, not just title |
What we see go wrong, again and again
- 01Treating extraordinary ability as a credentials checklist rather than a story of field-wide impact.
- 02Submitting bibliometric data (h-index, citation counts) without explaining what makes those numbers high relative to peers in the same sub-field.
- 03Relying on letters from collaborators or co-authors rather than independent experts who can speak to influence.
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