The USCIS H-1B Sponsorship Database: How to Read It

The USCIS H-1B sponsorship database lists petition counts by employer and year, and most job seekers misread nearly every column in it.

You found a company you want to work for, searched "does [company] sponsor H-1B," and landed on a USCIS page full of fiscal-year columns, approval counts, and denial counts with no explanation of what any of it means. That page is the USCIS H-1B Employer Data Hub, and it is the single most authoritative source for H-1B sponsorship history that exists, because it comes directly from USCIS's own petition records rather than a scraped or resold copy of them. It is also one of the most misread tools in a job search, because the columns look self-explanatory and mostly aren't.

This guide walks through what the data hub actually reports, how to search it correctly, how its numbers differ from the other databases you'll see recommended, and the mistakes that lead people to wrongly rule a company in or out as a sponsor.

What the data hub actually is

The H-1B Employer Data Hub is a free public tool on uscis.gov. For each fiscal year (October 1 to September 30) and each employer name USCIS has on file, it reports four counts:

• Initial approvals — petitions approved for someone entering H-1B status for the first time with that employer, most often a new hire, a cap-subject case, or a change of employer
• Initial denials — the same category of petition, denied
• Continuing approvals — approvals for someone who already held H-1B status, covering extensions, amendments, and transfers where the worker was already an H-1B holder
• Continuing denials — the same, denied

Alongside those counts, each row typically shows the employer's name, city, state, ZIP code, and North American Industry Classification System (NAICS) code, which tells you the employer's line of business. What it does not show is wage data, job titles, or worksite detail beyond the employer's registered address — for that, you need the Department of Labor's Labor Condition Application (LCA) disclosure data, which is a separate system built for a separate purpose.

Because the data comes from USCIS's own adjudication records rather than a public filing employers submit voluntarily, it is the closest thing to ground truth on whether a specific legal entity has actually had H-1B petitions approved. That is also its main limitation: it only tells you what happened after the fact, on a lag, at the level of a legal entity — not a live signal that a role is currently open and sponsorable.

How to search it, step by step

1. Go to the H-1B Employer Data Hub on uscis.gov and open the search form.
2. Enter the employer's exact legal name, not the consumer brand. A company you know as a retail or product brand often files under a holding company or "Services LLC" entity — search a few variants if the first attempt returns nothing.
3. Select the fiscal year or year range you want to review. Pulling three to five consecutive years gives you a trend instead of one noisy data point.
4. Read initial vs. continuing separately. Don't sum them into one "total H-1Bs" number — they answer different questions (new hiring vs. retaining existing staff).
5. Cross-reference the NAICS code against the role you're targeting, especially for large parent companies with multiple subsidiaries in different industries.
6. Repeat the search under every legal-entity variant you can find (subsidiaries, staffing partners, "Inc." vs. "LLC" vs. regional entities) before concluding an employer does or doesn't sponsor.
7. Pair the result with the LCA disclosure data if you want wage-level and worksite detail for the roles that were actually filed — the data hub won't give you that.

USCIS data hub vs. the other sponsor-research tools

Most guides tell you to "check a database" without explaining that there are three genuinely different tools, each answering a different question.

None of these three is "the" H-1B sponsorship database — they're complementary. If you only have time for one, start with the USCIS data hub for the approval/denial reality, then use the LCA data for the wage-level detail that matters for lottery odds (Level III and IV wage roles now draw more entries under the wage-weighted selection rule that took effect on 2026-02-27, so a company's typical wage level for your target role is genuinely useful information, not trivia). For a broader walkthrough of using a sponsor database as a job-search tool, see the guide on using an H-1B sponsor database, and for the aggregator-site workflow specifically, see researching sponsors on MyVisaJobs.

What the numbers can and can't tell you

A high initial-approval count over several years is a reasonably strong signal that an employer has an established H-1B program and immigration counsel who know how to file a clean petition. A high continuing-approval count with few initial approvals usually means the company retains H-1B staff but isn't hiring many new H-1B workers in that window — useful context if you're applying as a new hire rather than transferring in. A denial count that's nontrivial relative to approvals is worth noticing, though denials can reflect a handful of specific weak petitions rather than a company-wide pattern.

What the data hub cannot tell you is whether the specific role you're applying for will be sponsored, whether the company's appetite for sponsorship has changed since the last closed fiscal year, or whether the green-card side of the relationship (PERM, I-140) will follow. For that last piece, the data hub is a dead end — you'll want a source built for it. See how to check whether a company sponsors green cards for the PERM-based approach, since H-1B sponsorship and green-card sponsorship are tracked in entirely separate government systems and one doesn't guarantee the other.

Common mistakes

• Searching only the consumer brand name. Large employers frequently file under a subsidiary or "Services" entity that doesn't match the name on their careers page. A zero result under the brand name proves nothing until you've tried the legal entity.
• Treating a zero count as a permanent "no." A cap-exempt university, hospital, or nonprofit research affiliate can have a real, active H-1B program that simply doesn't show up the way a cap-subject employer's does, because cap-exempt filings follow a different pattern in the data.
• Adding initial and continuing counts into one "total H-1Bs" number. This conflates new hiring with retention of existing staff and will overstate how much fresh sponsorship activity is happening.
• Assuming last fiscal year's numbers reflect today's hiring appetite. The data lags by a quarter or more and the most recent fiscal year is incomplete until USCIS closes it, so a company's stance can have shifted since the last row you can see.
• Confusing a staffing or consulting firm's aggregate count with your actual odds. A large IT services or consulting employer's total petition count spans placements across many end-client companies and locations; it tells you the firm sponsors broadly, not that a specific opening at a specific client site will.
• Skipping the LCA cross-check. The data hub won't tell you what wage level a company typically files at, and wage level now has a direct, quantifiable effect on lottery odds under the wage-weighted selection rule. If you want that detail, you need to also search LCA filings.

Putting it into your research workflow

Use the data hub the way you'd use any single data source in a decision that matters: as one input, cross-checked against others, not as a verdict. A reasonable sequence for a target-company list is to pull each company's multi-year initial-approval trend from the data hub first, check the LCA data for the wage level and job titles actually being filed, confirm the entity is genuinely hiring for roles like yours, and only then prioritize your time toward outreach. None of this tells you whether you specifically will be sponsored — that depends on the role, the year's lottery odds if the employer is cap-subject, and decisions the employer hasn't made yet. Treat every number in the data hub as historical evidence about an employer's pattern, not a prediction about your outcome.

Frequently asked questions

What is the USCIS H-1B employer data hub? It is a free public search tool on uscis.gov that reports H-1B petition activity by employer and fiscal year, broken into initial approvals, initial denials, continuing approvals, and continuing denials. It comes straight from USCIS's own case-management data, not from a third-party aggregator, and it does not include wage or job-title detail.

How current is the data in the USCIS H-1B sponsorship database? It is updated on a quarterly cadence and reports by federal fiscal year (October through September), so a petition filed this month will not appear for weeks and the most recent fiscal year is always incomplete until USCIS closes it out. Treat any given quarter as a lagging indicator, not a live feed of who is hiring right now.

What is the difference between the USCIS data hub and the DOL LCA database? The USCIS data hub reports what happened to actual H-1B petitions, approvals and denials, tied to the employer's legal name. The Department of Labor's LCA disclosure data reports the Labor Condition Applications employers certify before they can even file, including the wage level and worksite, but an LCA does not guarantee a petition was ever filed. Cross-checking both against each other tells you more than either one alone.

Does zero H-1B petitions mean a company will not sponsor? Not necessarily. It can mean the employer is cap-exempt and files through a separate track, that the role you found is at a subsidiary with a different legal name than the parent brand, that the company is simply small and hires rarely, or that it genuinely has never sponsored. Search under every legal entity name you can find before drawing a conclusion.

What do initial and continuing approvals mean in the data hub? An initial approval is typically a new H-1B, most often a first petition, a change of employer, or a cap-subject case. A continuing approval covers extensions, amendments, and other petitions for someone who already held H-1B status. A company with steady continuing approvals and few initial ones is retaining existing H-1B staff but may not be bringing in many new hires that year.

Reading the raw data is only the first step — turning it into a shortlist you can actually act on takes more time than most job seekers have alongside a full course load or a ticking OPT clock. F1Jobs helps candidates build and work a sponsor-verified target list instead of guessing from database columns alone.