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Data Reference

About Our Data

Every insight on this platform derives from official U.S. government public disclosure records. This page explains what we collect, how we process it, and what each field means — so you can evaluate the data before relying on it.

3M+

LCA Filings

FY 2015–2026

2M+

H1B Petitions

FY 2015–2026

1M+

PERM Cases

FY 2008–2026

500K+

Unique Employers

across all datasets

Data Sources

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

Open LCA

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

Open H1B

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

Open PERM
Methodology

How We Process the Data

Raw government disclosure files require significant cleaning before they are analytically useful. These are the four core techniques applied to every dataset on the platform.

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.

LCA Education

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 Education

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 Education

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.