How to Read H-1B LCA Data to Find Employers Who Actually Sponsor

Every employer that wants to hire an H-1B worker must first file a Labor Condition Application (LCA), Form ETA-9035, with the Department of Labor, attesting to the wage and working conditions of the role. These filings are public record, published quarterly by the DOL Office of Foreign Labor Certification at its Performance Data page (dol.gov). Paired with the USCIS H-1B Employer Data Hub (uscis.gov), which reports actual petition approvals and denials by employer, you have enough information to build an evidence-based target list before writing a single application. This guide explains what is in each dataset and how to use them practically in your search.

What Is Actually in an LCA Record

Each LCA record in the DOL disclosure file captures one certified, denied, or withdrawn application, and includes the employer legal name and address, job title and SOC occupation code, worksite city and state, the wage the employer commits to pay, the DOL prevailing wage level (I through IV), and the number of workers requested, according to guidance summarizing the dataset (f1jobs.io). You can search individual, recent filings through the DOL FLAG system, or download full quarterly CSV disclosure files, which typically contain several hundred thousand rows per quarter, for bulk analysis. An LCA filing means the employer was approved to sponsor a role at that wage; it does not confirm a specific person was ultimately hired at that wage, so treat it as a signal of active sponsorship intent and a wage benchmark rather than a guaranteed outcome for any one candidate. For an experienced professional, the wage level column is particularly useful: a pattern of Level III or IV filings for a given title tells you the employer is bringing in senior talent at that role, not just entry-level hires, which is a meaningfully different signal than a single Level I filing for the same job title. Filtering by SOC code rather than job title alone also helps, since employers use inconsistent internal titles for functionally similar roles.

What the USCIS Employer Data Hub Adds

The USCIS H-1B Employer Data Hub is a separate, petition-level dataset that reports employer name and NAICS industry code, fiscal year, the number of H-1B petitions filed for new employment and continuing employment, and how many were approved, denied, or withdrawn (uscis.gov). The critical distinction from LCA data is that the Hub shows actual USCIS decisions, not just an employer's stated intent. In FY 2026 Q1, for example, Amazon Com Services LLC led with 2,008 approved beneficiaries, followed by Tata Consultancy Services, Microsoft, Infosys, and Google, according to reporting on the released data (thevisapulse.com). Across all of fiscal year 2025, USCIS adjudicated approximately 415,275 H-1B petitions with an overall approval rate near 97.9%, per the same source. Note the Hub only reflects USCIS's first decision and excludes pending cases, so treat its counts as directional rather than a live, real-time feed. It is also worth separating new-employment approvals from continuing-employment approvals in the Hub's breakdown: a company with heavy continuing-employment volume but few new-employment approvals may be mostly extending existing workers rather than actively hiring externally, a distinction that matters if you are an outside candidate rather than an internal transfer.

A Practical Four-Step Process for Building Your List

First, pull USCIS Employer Data Hub records for your target industry and geography over the last two to three fiscal years, filtering to New Employment approvals if you want employers actively hiring new H-1B workers rather than just renewing existing ones. Second, cross-reference those employers against the DOL LCA disclosure files for your specific job title and city, which will show you the actual wage levels being offered. Third, check consistency: an employer with a multi-year pattern of filings is a stronger target than one with a single, isolated filing. Fourth, layer in secondary tools like MyVisaJobs or H1BGrader, which index the same underlying DOL and USCIS data with more convenient search interfaces, to speed up the process (scale.jobs). This whole process typically takes four to six hours the first time, according to a step-by-step walkthrough of the method (f1jobs.io), but it produces a list grounded in verifiable filings rather than guesswork.

Where the Data Falls Short and How to Fill the Gaps

Both datasets have real limitations worth knowing before you rely on them. The USCIS Employer Data Hub briefly went offline in March 2026, losing its search tool, interactive map, and downloadable files for several fiscal years, which researchers and journalists noted complicated tracking ahead of the FY 2027 cap season (visahq.com). Neither dataset publishes a unique key tying a specific LCA to a specific USCIS petition, so you cannot perfectly match one filing to one hire. And large employers often file under multiple legal entities or subsidiaries, meaning combined corporate sponsorship volume can be higher than any single line item suggests. Cross-referencing both government sources with a secondary aggregator, and treating any single quarter's numbers as a snapshot rather than a permanent ranking, gives you the most reliable picture. Standout builds this kind of employer verification into its job search so you spend less time reconciling spreadsheets. Search jobs at verified H-1B sponsors on Standout.