Search the H1B Database: Find Employers and Salaries

h1b database

Did you know the H1B database contains detailed petition records for hundreds of thousands of foreign workers, all publicly searchable by employer or job title? It works by aggregating Labor Condition Applications (LCAs) filed with the government, letting you filter by year, wage, or company location. You can use it to instantly look up any employer’s H1B sponsorship history, which is a huge help if you’re planning your job search or verifying salary data.

Understanding the H1B Visa Registry: What it Contains

The H1B visa registry, often accessed through an h1b database, contains employer-submitted labor condition applications (LCAs) for each petition. A typical record holds the sponsoring company’s name, the foreign worker’s job title, and the offered wage. It also lists the worksite location and the petition’s approval period. Crucially, the registry includes the case status—approved, denied, or withdrawn—and the unique case number tied to USCIS processing. For a data analyst, this registry reveals not just who hired whom, but the specific economic geography of talent deployment across U.S. offices. The database does not store personal identifiers like the worker’s full address or h1b data social security number, only the professional assignment details.

h1b database

Data Fields Typically Found in H1B Employment Records

When you dive into an H1B database, the employment records usually pack in a few key details. You’ll spot the employer’s name and address, plus the job title and wage offered. The petition’s status (like approved or denied) and work location are also standard. A major part is the prevailing wage data field, which shows the expected pay level for that role in that area. These fields let you quickly compare salaries or verify employer claims without digging through legal paperwork.

Differences Between Public H1B Data and Employer-Filed Forms

The public H1B database, derived from disclosure data under FOIA, often differs from the employer-filed Labor Condition Application (LCA). Employer forms, submitted to the Department of Labor, contain precise wage figures, work locations, and job duties. The public version may generalize these, rounding wages or obscuring specific office addresses to aggregate site locations. Additionally, employer forms include start and end dates for each foreign worker, while public records might only show the petition’s approval year. A key divergence: employer forms list multiple job titles for a single case, but the public database typically shows only the primary SOC code, reducing granularity.

Q: Why does the public database sometimes show a different wage than what the employer forms state?
A: The public database rounds exact offered wages to ranges or yearly averages, whereas employer-filed forms must state the precise hourly or annual salary.

How Government Agencies Compile and Release This Information

The U.S. Department of Labor (DOL) and U.S. Citizenship and Immigration Services (USCIS) compile the H1B database through mandatory employer filings, primarily the Labor Condition Application (LCA) for the DOL and the I-129 petition for USCIS. The DOL releases LCA data via the Foreign Labor Application Gateway, while USCIS issues aggregate disclosure reports on petition approvals and denials. Both agencies publish this data in bulk, downloadable formats, such as CSV files, after periodic processing cycles. The information is public under FOIA guidelines, though personal identifiers are often redacted.

Agency	Compilation Method	Release Format
DOL	Employer-submitted LCA records	CSV downloads via FLAG system
USCIS	Processed I-129 petition data	Quarterly aggregate reports

Navigating the Online Repository for Work Visa Records

When navigating the online repository for work visa records, the key is to efficiently use filtered search parameters within the h1b database. Start by entering a specific employer name to access their historical petition filings and approval rates. You can then refine results by fiscal year to analyze trends in visa sponsorship. The repository’s sortable columns let you quickly compare salary levels or job titles across records. For deeper insights, download raw datasets to cross-reference with your own metrics. Mastering these navigation steps turns the h1b database from a static archive into a strategic tool for evaluating employer sponsorship behavior.

Step-by-Step Guide to Accessing and Searching the Dataset

Begin at the repository’s main page for the H1B database. First, select the year of interest from the filter dropdown to narrow the dataset. Next, use the search bar to input an employer name or job title; press Enter to retrieve matching records. For targeted results, activate the advanced filter to set specific parameters like wage level or work city. This step-by-step guide to accessing and searching the dataset ensures you locate precise H1B visa records efficiently.

Select the fiscal year from the dropdown filter to focus your query.
Input specific employer names or job titles into the search bar for direct results.
Use advanced filters to refine by wage level or geographic location.
Download filtered results as a CSV for offline analysis.

Filtering by Employer, Job Title, or Wage Range

When navigating the H1B database, you can focus your search using three key filters: Employer, Job Title, or Wage Range. Start by typing a company name to see all its certified petitions, or use a specific job title like “Software Developer” to isolate relevant records. The wage range slider lets you refine results by annual salary, from entry-level to executive pay. Combining these filters—for example, an employer plus a minimum wage—drastically narrows the dataset, revealing precise salary benchmarks for your target role. This targeted approach turns raw data into actionable intelligence.

Use Employer, Job Title, or Wage Range filters together to instantly surface precise salary benchmarks and employer patterns in the H1B database.

Common Challenges When Browsing Public Visa Listings

Users frequently encounter incomplete or inconsistent data when browsing public visa listings, making it difficult to verify employer details or job titles. Records often lack standardized fields, causing confusion when comparing wage levels across companies. Another hurdle is navigating outdated entries, which can misrepresent current hiring practices. Scattered formatting across varied sources also slows analysis, as you must manually cross-reference multiple pages to confirm a single listing’s validity. This fragmentation undermines trust and demands extra effort to piece together accurate insights.

Common Challenges When Browsing Public Visa Listings include incomplete entries, inconsistent formatting, outdated records, and scattered data sources, all of which obstruct quick verification and reliable analysis.

Key Insights from Scrutinizing Visa Petitioner Information

Scrutinizing visa petitioner information within the H1B database reveals that employer track records are the single most reliable predictor of application success. By cross-referencing a company’s historical denial rates, wage levels, and petition volumes, you can quickly identify which employers consistently navigate USCIS scrutiny. A key insight is that small, unknown consultancies with erratic filing patterns often signal higher risk. Q: What is the most actionable insight from reviewing past petitioner data? A: That an employer’s historical compliance and specialization in your occupation—not just job title—determine your odds of approval.

Identifying Top Companies That Sponsor Foreign Talent

h1b database

Within the H1B database, identifying top companies that sponsor foreign talent requires focusing on petition volume and job titles, not reputation. You can filter by employer name to reveal which firms file hundreds or thousands of petitions yearly, such as major tech consultancies and financial institutions. Cross-checking approval rates against total petitions uncovers reliable H-1B sponsorship employers that consistently secure visas for diverse roles. This direct analysis bypasses guesswork, letting you target organizations with proven, large-scale hiring of global professionals.

In short, the H1B database pinpoints top sponsors by volume and approval consistency, turning raw petition data into a concrete list of companies actively—and successfully—hiring foreign talent.

h1b database

Analyzing Salary Trends Across Industry Sectors

Analyzing salary trends across industry sectors within the H1B database reveals which fields offer higher compensation for foreign talent. Users can compare base salaries for identical job titles between technology, finance, and healthcare sectors. A direct correlation exists between employer size and wage levels, with large multinationals often paying above the prevailing wage for similar roles. Job seekers can identify sectors where listed wages consistently exceed the Department of Labor’s minimum for a given occupation, indicating stronger employer demand. This data helps validate whether a specific industry aligns with a petitioner’s expected compensation floor, without relying on external statistics.

Sector	Commonly Higher Pay	Typical Wage Range Example
Technology	Software Developers	$110k–$160k
Finance	Quantitative Analysts	$130k–$200k
Healthcare	Physicians/Surgeons	$200k–$300k

Geographic Hotspots for H1B Certified Positions

Analyzing the h1b database reveals distinct geographic hotspots for H1B certified positions. The metropolitan areas of New York, San Francisco, Seattle, and Chicago consistently show the highest concentration of certified petitions. California and Texas dominate state-level counts, with specific clusters in Silicon Valley and the Dallas-Fort Worth metroplex. New Jersey’s dense corridor between Newark and Princeton also emerges as a significant, though less discussed, concentration point. For users, filtering by “worksite city” rather than employer location provides more accurate hotspot mapping. Q: Which U.S. city has the most H1B certified positions in the database? A: New York City leads with the highest volume of certified petitions for tech and finance roles.

Practical Applications for Job Seekers and Recruiters

Job seekers navigating the H1B database can reverse-engineer a company’s hiring behavior. You spot a mid-sized tech firm that filed for five visa workers as “Data Engineers”—but its public job board shows zero open roles. You tailor a cover letter referencing their latest visa petition, signaling you’ve done deep research. This direct access shows where demand truly lives, not just where posts exist.

A recruiter uses the database to find candidates already approved for transfer, filtering by employer and skill code to shortlist applicants who need no new visa processing.

For recruiters, running a query on a competitor’s recent approvals reveals exact job titles and salary bands. You approach a passive candidate with a precise offer that beats their current H1B-listed wage, bypassing generic outreach. The database becomes a map of real hiring needs, not hypothetical ones.

Using Historical Data to Gauge Visa Approval Odds

Analyzing the H1B database approval rates by employer, job code, and worksite location allows job seekers to calculate a personalized success probability. By cross-referencing historical petition outcomes for similar roles at target companies, you can identify employers with strong compliance records, directly informing strategic application choices. Recruiters leverage this data to filter candidates based on realistic sponsorship likelihood, focusing resources on roles with proven high-approval patterns.

Data Point	Practical Use
Employer Approval Rate	Prioritize companies with >90% historical approval for analogous positions
Job Code Outcomes	Avoid low-success SOC codes; target roles with consistent annual approvals
Worksite History	Correlate location-specific denials to avoid filing in adverse regions

Comparing Prevailing Wage Determinations to Market Rates

When using the H1B database, job seekers can directly pit an employer’s certified prevailing wage determination against real-world market rates from salary surveys or job postings. This comparison reveals whether a role’s offered wage is competitive or simply a legal floor. Recruiters leverage this practice to benchmark their own salary offers against what competitors actually paid for similar H1B roles, ensuring they don’t lose top talent to better-paying firms. A wide gap between the prevailing wage and market rate signals either an undervalued position or a strategic opening for negotiation, letting both parties ground their salary discussions in concrete, verified data rather than guesswork.

Comparing prevailing wage determinations to market rates through the database lets you spot undervalued roles and strengthen salary negotiations with hard data.

Spotting Employers with High Rates of Application Denials

Job seekers can use the H1B database to identify employers with high denial rates by filtering for negative petition outcomes. Application denial patterns often indicate companies filing for unfounded specialty occupations or lacking proper documentation. Compare an employer’s denial percentage against industry benchmarks—above 30% is a red flag. Cross-reference denial reasons with job titles to spot recurring issues like wage misclassification or unqualified roles. Recruiters can similarly vet partner organizations by reviewing historical denial trends, ensuring candidates rarely face visa roadblocks before starting work.

Legal and Ethical Boundaries When Using Public Visa Data

When using an H1B database, legal and ethical boundaries demand strict adherence to data minimization. Do not store or correlate public visa records with protected characteristics like race, religion, or political affiliation, as this violates privacy norms beyond mere compliance. The ethical line lies in intent; using the database to verify employment authenticity is permissible, but targeting individuals for harassment or discrimination is not.

Public does not equal consent; repurposing visa data for surveillance or profiling breaches the trust inherent in the original disclosure.

Privacy Concerns vs. Transparency in Work Authorization Records

Balancing privacy concerns against transparency in work authorization records forces a critical evaluation of the h1b database. Individuals risk exposure of sensitive immigration timelines and employer history, while public access aims to verify legal status. The core conflict lies in limiting personal data fields without undermining the database’s purpose as a verification tool. Users must navigate this tension by filtering for necessary disclosure thresholds, ensuring only core authorization details are visible while redacting superfluous personal information to protect privacy.

Privacy Concerns vs. Transparency in Work Authorization Records centers on restricting personal data fields while preserving the database’s ability to confirm legal work status, requiring careful definition of what information is essential for public verification.

Permissible Uses Under U.S. Freedom of Information Rules

Under U.S. Freedom of Information Rules, the H1B database is permissible for verifying an employer’s compliance with wage and labor condition applications. You may use this data to audit lawful hiring practices or identify patterns of H-1B dependency. A clear sequence of permissible actions includes:

Extracting employer records to confirm certified labor condition applications.
Cross-referencing wage data against prevailing wage determinations.
Tracking visa approval numbers per company for non-public disclosure risks.

Any use beyond transparency—such as targeting individual workers—violates FOIA’s privacy exemptions. Stick to employer-focused analysis to remain within legal boundaries.

Risks of Misinterpreting or Misrepresenting the Information

h1b database

Misinterpreting public H1B data risks drawing flawed conclusions about an individual’s immigration status or employer intent. A single data point, such as a denied application or a withdrawn petition, might be incorrectly framed as evidence of fraud or incompetence, when in reality it could reflect routine administrative corrections. Misrepresenting aggregated salary information as exact compensation can harm job seekers or companies by creating false market expectations. Furthermore, conflating a visa petition with an actual approved visa often leads to erroneous allegations about an employer’s hiring practices, potentially triggering baseless legal scrutiny or reputational damage.

Tools and Platforms That Aggregate Visa Employment Stats

H1B database aggregators like the H1B Grader and H1B Salary Database are powerful tools that let you filter visa records by employer, job title, and specific wage levels. These platforms pull raw data from Labor Condition Applications, allowing you to instantly compare which companies sponsor roles and at what salary. Instead of digging through government spreadsheets, you can see a clear, sortable list of visa approvals, denial trends, and prevailing wage info. For job seekers, this offers a direct look at an employer’s sponsorship history and typical pay offers, all without relying on anecdotal advice.

Third-Party Websites Offering Searchable Labor Certification Tables

Third-party websites offering searchable labor certification tables, such as H1BDatabase and MyVisaJobs, provide direct access to searchable PERM wage records by employer, job title, and location. These platforms parse public DOL filings into sortable tables, allowing users to filter by fiscal year or prevailing wage level. A typical workflow involves:

Inputting an employer’s name to retrieve all certified ETA-9089 records.
Cross-referencing wage percentiles against job classifications.
Exporting specific case numbers for verification against official AVM data.

Unlike government sources, these tables standardize fragmented raw data into consistent, filterable structures for rapid employer benchmarking.

Customizing API Extractions for Advanced Analysis

To extract precise insights from the H1B database, targeted API parameters let you filter by employer, job title, or fiscal year for specific trends. You can query wage percentiles, case statuses, or geographic distributions, then export the JSON data into Python or R for custom statistical models. This allows analysts to correlate approval rates with salary ranges across competing companies without manual CSV wrangling. By chaining multiple endpoints, you can build dynamic dashboards that track real-time filing patterns.

Customizing API extractions transforms raw H1B records into tailored, actionable datasets for predictive analysis or competitive research.

Visualizing Petitions Through Charts and Heat Maps

When exploring the h1b database, visualizing petition data through charts and heat maps makes patterns pop instantly. You can plot approved versus denied counts by month as stacked bar charts, or use a geo heat map to see which U.S. regions saw the most filings for specific job titles. A typical sequence: first, filter petitions by year or employer; second, toggle to a heat map layer that colors county density; third, click a cell to drill into that area’s approval rate. Keep in mind that zoom level can drastically shift how clusters appear.

Select a time range to update chart axes
Switch chart type to see petition volume as geographical intensity
Hover over any map cell or bar to reveal exact counts

Recent Changes in Public Access to Visa Filing Details

Recent changes in public access to H-1B database records have shifted from full disclosure of specific employer filings to **redacted petition details** on platforms like the USCIS FOIA library. You can no longer view complete data sets containing personal beneficiary information, as the agency now **withholds case-by-case narratives** to comply with privacy regulations. This makes it less practical for applicants to benchmark exact approval patterns against competitors, though aggregate processing times remain visible. For due diligence, practitioners rely on anonymized extracts from the Labor Condition Application database instead, which still shows employer locations and wage tiers.

Updates to Data Release Policies Under New Administration

The new administration has tightened data release policies for the H1B database, directly impacting how applicants track filings. Previously accessible employer-specific approval volumes are now partially redacted, reducing transparency for users monitoring case progress. Specifically, the Department of Labor now delays public posting of prevailing wage determinations, while USCIS withholds certain denial reason codes from the public FOIA database. These updates require users to rely more on employer-provided updates rather than direct database queries. Opaque release patterns now obscure real-time trend analysis for individual petitions.

Partial redaction of employer-specific approval counts began in Q1
Prevailing wage determination postings now delayed by 90 days
Denial reason codes for consular processing cases are no longer disclosed
FOIA request turnaround times have increased by an average of 60 days

How Redacted Fields Affect Transparency for Researchers

Redacted fields in the H1B database directly undermine researchers’ ability to verify employer claims, as key data like wage ranges, work locations, and beneficiary education are often hidden. This removal of granular details forces researchers to rely on incomplete records, distorting trend analysis on hiring patterns or salary compliance. Without specific entries, cross-referencing an employer’s H1B petitions against public labor condition applications becomes impossible, increasing the risk of undetected discrepancies. The cumulative gaps reduce confidence in any large-scale statistical conclusions drawn from the database, making it a less reliable tool for longitudinal labor market studies.

Redacted fields obstruct verification of employer-submitted data, forcing researchers to work with fragmented records, which degrades analytical accuracy and trust in transparency.

Trends in the Volume of Petitions Submitted Year-Over-Year

Year-over-year trends visible in the H1B database reveal a clear pattern of fluctuating petition volumes. Prior to 2020, filing numbers showed moderate, steady growth. However, post-2020 data indicates a sharp spike in total submissions, followed by a slight decline. The database reflects this volatility, with annual petition volume fluctuations now showing a 15–20% variance between peak and trough years. Recent entries suggest a stabilization around pre-2020 levels, though the database does not yet include filings for the current fiscal year to confirm this trend. Users analyzing historical data should note these cyclic surges.

Common Myths and Misunderstandings About the Visa Registry

A big myth about the H1B database is that the Visa Registry is a public “blacklist” where employers can see if you’ve had a past visa denial. Actually, the Registry is an internal government record, not a searchable directory for companies. Another common misunderstanding is that once your name is in the database, it permanently hurts your future applications. In reality, the Registry simply stores historical data for processing, and errors can often be corrected. Q: Will having a prior visa application in the Registry stop me from getting a new H1B? A: No—it’s just a record of past filings, not a judgment, and each new petition is assessed on its own merits.

Clarifying What the Dataset Does and Does Not Reveal

Clarifying what the dataset does and does not reveal is essential to using the H-1B database correctly. The records confirm an employer’s approved petition, the job title, and the prevailing wage—but they do not prove the worker’s actual salary, current employment status, or visa validity. A common misunderstanding is that the database shows visa approval; it only reflects the employer’s initial filing. To avoid misinterpretation, follow this sequence:

Check the petition’s approval date and employer name.
Verify the prevailing wage, not the final paid amount.
Understand that no update confirms the worker still holds the visa.

The dataset reveals historical application data, not an individual’s real-time immigration status.

Why Wage Data May Not Reflect Actual Employee Earnings

Wage data in the H1B database often represents the prevailing wage level required for certification, not the actual salary an employee receives. Employers may file for a higher wage tier to secure a visa, but then pay the employee a lower rate after approval. Furthermore, reported figures reflect base pay, excluding bonuses, commissions, or stock options that form substantial total compensation. The data also captures wages at the time of filing, not later adjustments for raises or promotions, creating a static snapshot that diverges from the employee’s real earnings trajectory.

Distinguishing Between Approved Petitions and Granted Visas

A critical distinction in the H1B database is that an approved petition does not equal a granted visa. The database documents a petition’s approval by USCIS, which confirms eligibility for a visa number. However, the actual visa is only granted later by a consulate abroad. This sequence is often misunderstood: first, USCIS approves the petition; second, the beneficiary must apply for the visa stamp at a consulate; third, the visa is physically issued. If the consular officer denies the application, the approved petition remains in the database but no visa is granted. Consular processing is the final gate, not the petition approval itself.

USCIS approves the petition, recording it in the H1B database.
The beneficiary applies for the visa at a U.S. consulate.
The visa is granted only upon consular approval; a denied application leaves the petition unused.