LCA filings
3M+
FY2015-FY2026 coverage
Data reference and methodologyUnified product and data reference
How the data is sourced, cleaned, and interpreted
Every insight on this platform traces back to official U.S. government disclosures. This page explains what is collected, how it is normalized, how to read each dataset correctly, and where the important caveats begin.
Platform guide
About WorkVisa Insights
What the product is built for, how the surface is organized, and how to navigate it.
Open pageData reference
About the data
Sources, coverage, cleaning logic, field dictionaries, and disclosure caveats.
Current viewH-1B petitions
2M+
FY2015-FY2026 USCIS visibility
PERM cases
1M+
FY2008-FY2026 labor-certification history
Unique employers
500K+
Visible across the combined public datasets
Dataset Overview
Three disclosure systems power the entire product
Use this page when you need to confirm source agency, coverage, module entry points, and the differences between LCA filings, H-1B petition aggregates, and PERM case records.
LCA
LCA Intelligence
Labor Condition Application Intelligence
Analyze LCA filings, wage benchmarks, and filing outcomes across employers, jobs, and locations.
U.S. Department of Labor
Labor Condition Application disclosure dataset
Fiscal Years 2015-2026
H1B
H1B Intelligence
H1B Petition Intelligence
Explore petition approvals, denials, employer filing behavior, and worksite concentration in one place.
U.S. Citizenship and Immigration Services
USCIS Form I-129 public disclosure dataset
Fiscal Years 2015-2026
PERM
PERM Intelligence
PERM Labor Certification Intelligence
Understand permanent labor certification signals across employers, locations, processing, denials, and the green-card pipeline.
U.S. Department of Labor
PERM labor certification public dataset
Fiscal Years 2008-2026
Methodology
How raw disclosure files become usable research data
Government records are not structured for decision-making out of the box. These are the core transformations and quality controls applied before the data powers product surfaces.
Entity Normalization
Employer names from government filings are messy — abbreviated, misspelled, or inconsistent across years. We canonicalize them so filings by "Google LLC", "Google Inc", and "GOOGLE" all roll up to one entity.
Employer Standardization
FEIN-anchored cross-dataset linking maps LCA sponsors to their H1B petitions and PERM cases. This lets you see a single employer's behavior across all three programs simultaneously.
Wage Percentile Benchmarks
Filed wages are normalized to annual equivalents and ranked against peers in the same SOC/location/year cohort. Percentile bands (P25, P50, P75, P90) are computed across certified filings only.
Confidence Scoring
Each employer profile carries a confidence tier based on filing volume, FEIN consistency, and name-match quality. Low-confidence profiles are flagged so you can weight your analysis accordingly.
Usage Boundaries
Important context before you rely on these records
The platform improves disclosure usability, but public filings still have structural limits. Treat these pages as research infrastructure, not adjudication guarantees.
Official public sources
Every dataset on the platform starts from public U.S. government disclosures rather than private estimates.
Normalized entities
Employer naming, compensation units, and location values are standardized so cross-year comparisons are usable.
Research-ready workflows
The product layers raw dataset exploration with 360 modules, salary tools, and connected navigation paths.
Clear usage boundaries
This is a research platform, not legal advice. Filing disclosures do not guarantee visa issuance or future outcomes.
Labor Condition Application (LCA) Data Guide
LCA filings are submitted on Form ETA-9035 by employers seeking to hire H-1B, E-3, or H-1B1 workers. The U.S. Department of Labor (Office of Foreign Labor Certification) publishes these records as an administrative disclosure dataset. It is the most granular publicly available source for per-filing wage and employer data.
Why LCA data matters to you
- •Job seekers: Compare offered wages against prevailing wage levels before negotiating salary.
- •Immigration practitioners: Benchmark employer sponsorship patterns and identify wage outliers for case strategy.
- •Researchers: Analyze H-1B dependency, H-1B vs E-3 program usage, and worksite geography at scale.
Source: U.S. Department of Labor, ETA, OFLC
Dataset: Public Disclosure File: LCA (H-1B, H-1B1, E-3), Form ETA-9035
Latest Period: FY 2026 (through December 31, 2025)
Historical Coverage: FY 2015–2026
Important disclosure notes
Records are employer-provided administrative disclosures, not USCIS visa approvals. An LCA certification does not guarantee an H-1B petition was filed or approved.
PII excluded: Attorney FEIN and Attorney State Bar Number.
How to read this dataset
- Case fields identify lifecycle and final determination timing.
- Visa/job fields define petition type, role, and requested worker counts.
- Worksite/wage fields explain location-specific pay and prevailing wage basis.
- Compliance fields capture statutory attestations and dependency/violation status.
Field Dictionary (ETA-9035 LCA)
Grouped reference of the key public disclosure fields used across the LCA intelligence modules.
H1B Petition Data Guide
USCIS publishes employer-level H-1B petition data disclosing aggregate approval and denial counts by employer, occupation, worksite, and fiscal year. Unlike LCA data, this is aggregated — not case-level — but it directly reflects USCIS adjudication outcomes on Form I-129.
Why H1B petition data matters to you
- •Job seekers: Gauge how often your target employer actually wins H-1B petitions — not just how many they file.
- •Immigration practitioners: Compare client employer denial rates against industry peers to set expectations.
- •Researchers: Track H-1B dependency employer behavior and multi-year approval rate trends by SOC cluster.
Source: U.S. Citizenship and Immigration Services (USCIS)
Dataset: H-1B Employer Data Hub (Form I-129)
Latest Period: FY 2026
Historical Coverage: FY 2015–2026
Important notes
USCIS data is employer-aggregated: counts are grouped, not individual case records. Rows with fewer than 10 petitions are suppressed by USCIS to protect privacy.
Cap-exempt employers (universities, nonprofits) are included and may show very different denial rates than cap-subject employers.
How to read this dataset
- Each row represents one employer-occupation-worksite-year cohort, not a single petition.
- Approval rate = initial approvals ÷ (initial approvals + initial denials).
- H1B-dependent employers face higher scrutiny and are flagged in compliance fields.
- Compare continuing vs. initial approvals to assess employer tenure with sponsorship.
Field Dictionary (USCIS H1B Disclosure)
Key fields in the USCIS H-1B employer data used across the H1B intelligence modules.
PERM Labor Certification Data Guide
PERM (Program Electronic Review Management) is the first step in most employment-based green card processes. DOL publishes ETA Form 9089 case-level records including employer, job, wage, and worker education data — making it the most granular public window into the green card pipeline.
Why PERM data matters to you
- •Green card applicants: Understand if your employer has strong PERM certification rates and how long cases typically take.
- •Immigration practitioners: Identify PERM denial patterns by job category, prevailing wage level, and employer size.
- •Researchers: Analyze EB-2/EB-3 pipeline demand by country of citizenship, SOC code, and state over time.
Source: U.S. Department of Labor, ETA, OFLC
Dataset: PERM Labor Certification Public Disclosure Data, Form ETA-9089
Latest Period: FY 2026
Historical Coverage: FY 2008–2026
Important notes
PERM certification only means DOL has approved the labor market test. A certified case must still go through USCIS Form I-140 petition and consular or adjustment-of-status processing before a green card is issued.
Country of citizenship data is available in PERM but not in LCA or H1B disclosures — making PERM the primary source for India/China backlog analysis.
How to read this dataset
- Each row is a single PERM case tied to one employer, one job, and one foreign worker.
- Case status of "Certified" means DOL approved the labor market test, not that a green card was issued.
- Processing time is measured from RECEIVED_DATE to DECISION_DATE.
- Foreign worker education and experience fields enable EB-2 vs. EB-3 category analysis.
Field Dictionary (ETA-9089 PERM)
Key fields in the PERM public disclosure dataset used across the PERM intelligence modules.
Next Step
Want the platform-level context too?
Use the main About page for the product narrative, navigation hierarchy, trust posture, and how these datasets connect into 360 modules, tools, and editorial surfaces.