Employer intelligence

DATAEDGE, Inc.

BLS comparison: 595 certified H-1B wage filings and 595 requested workers have a benchmark; 0 eligible filings lack one. Both compared means use the same records and worker weights.

18% below BLSFaculty wage lookupH-1B Dependent2 evidence layers

Read the record summaryEditorial analysis · based on linked public records

DATAEDGE, Inc. logged 595 certified H-1B labor condition applications between 2019 and 2026, requesting 595 workers. Most filings target Software Developers, Applications roles. The displacement model flags 587 (99%) below the BLS median wage for the occupation (latest national BLS; mapped SOC). The separate filing-year BLS wage gap is estimated at $12.2M. Using the platform's displacement model (base rate plus the wage-gap multiplier), DATAEDGE, Inc.'s filings yield 778 worker-equivalent exposures (model output, not a verified layoff count).

Understand this employer record

Certified H-1B filing history

The employer record contains 595 certified H-1B LCAs. DOL certification confirms an LCA decision; it does not establish a USCIS approval, a hire, or a current vacancy.

Latest recorded H-1B filing year

In calendar year 2026, the annual series records 13 filings and 13 worker requests. It groups H-1B LCAs by submission year across filing outcomes. Worker requests are not unique workers or confirmed hires.

That year includes 13 certified LCAs, 0 denied LCAs, and 0 withdrawn LCAs. Certified includes certified-withdrawn records.

The median annual offered wage for that year is $110,000/year. This is a filing wage offer, not a payroll observation.

The annual series excludes records flagged for data quality. Years can have different coverage, and the latest year can be incomplete. Check the annual table before comparing growth or outcomes.

Offered wages and occupation benchmarks

Among the 4 occupation comparisons displayed here, Software Developers, Applications has the most filings (372). Its average annual offered wage is $87,911/year, compared with a BLS national occupation median of $103,620/year.

This is a bounded sample of occupation averages from LCA records across statuses and visa classes. It excludes records flagged for data quality. A BLS comparison is a benchmark, not a legal finding. Occupation averages do not describe every filing or establish wages paid.

Linked public records

No WARN notice is linked in the available records. Coverage is limited to the sources collected; this does not establish that no layoffs occurred.

No federal contract record is linked in the available sources.

No court docket is linked in the available sources.

Modeled exposure and official findings

The displacement model reports 777.763 worker-equivalent exposures for this employer record. This is a model output, not an observed count of displaced people or a verified layoff count.

The employer record carries an H-1B-dependent designation. This is a program classification, not a finding of fraud.

Source import recorded Sep 2, 2026

First filing 2019-03-08Latest filing 2026-03-10NAICS 541511Definitions & methodology ↗

What the records contain / DOL & WARN disclosures

595Certified filingsDOL source records595Workers requestedRequests, not confirmed hires0WARN noticesMatched layoff records

$0 Federal contracts 0 Litigation records Cases, not findings of liability Yes H-1B dependent Employer disclosure

What XH1B calculates / Comparisons & modeled estimates

$94,000Median offered wageCalculated · annual wage99%Model below-BLS flags587 / 595 certified filings in model

778Modeled displacementEstimate · inspect the math

How to read these figures

The below-BLS flags come from the stored displacement model. Its denominator includes all clean certified H-1B filings. It uses the latest national BLS year and mapped occupation codes. The current wage summary uses eligible positive wage offers and filing-year BLS matches. These counts have different scopes. Displacement is a model result, not an observed count of job losses.

Definitions & methodology ↗

Findings & context

Key findings

How to read ↗

Connections that warrant a closer look.

DOL BLSSignal99% flagged below BLS in displacement model
Stored model flags: 587 of 595 certified filings.

Context & calculation notes

99% flagged below BLS in displacement model
The stored displacement model flags 587 of 595 clean certified H-1B filings with positive offers below the latest national BLS occupational median. It maps occupation codes before comparison. The denominator includes filings without a usable wage or benchmark. The current wage summary uses eligible positive offers and filing-year BLS matches. These counts differ. A model flag is not a wage-law finding.

Connections alone do not establish causation or misconduct.

Filings & worker requests

↗

RecordDOL · submission year

13filings in 202613workers requested

filings / workersWorkers requested

All statuses; quality-flagged rows excluded. Latest year can be incomplete.

Outcomes, wages & source events

Wages against the benchmark

↗

DOL BLSOccupation averages

3 / 4displayed occupation averages
below BLS

Offered wage BLS medianGap

Selected comparisons from 4 occupation averages. An above-benchmark average can include individual below-benchmark filings.

All wages, counts & methodology

Worksite distribution

Location DOL BLS129 mapped counties

H-1B worksites for DATAEDGE, INC. County color compares offered wages with BLS medians. Hover for values; click for county records.

Loading map…

At / above BLS40%+ below BLS

Color shows the county average gap, from 0% to 40% below BLS. Counties without a BLS benchmark have no wage comparison.

Inspect all worksite records →

Follow the evidence

Original records behind the employer profile · Swipe for more record types →

Source catalog ↗

Layoffs & WARN

↗

WARN Employer0 records

No linked records in the loaded evidence. Coverage can be incomplete.

Inspect evidence & coverage

Federal contracts

↗

Awards Employer0 records

No linked records in the loaded evidence. Coverage can be incomplete.

Inspect evidence & coverage

Related litigation

↗

Court Employer0 records

No linked records in the loaded evidence. Coverage can be incomplete.

Inspect evidence & coverage

Insider transactions

↗

SEC Person0 records

No linked records in the loaded evidence. Coverage can be incomplete.

Inspect evidence & coverage

Wages & occupations

Compare wage offers with occupational benchmarks. Inspect the counts and assumptions behind each gap.

Wage gap by occupation

How DATAEDGE, Inc.’s offered H-1B wage compares to the BLS market median for the year each filing was made. A role’s gap covers its filings that have a benchmark for their filing year; the rest are excluded. Negative gaps are below the benchmark.

Offered wages and BLS medians by occupation at DATAEDGE, Inc.
Occupation	Filings	Offered avg.	BLS median	Gap
Software Developers, Applications15-1132	372	$87,911	$103,620	-15%
Software Developers15-1252	203	$103,049	$133,348	-23%
Computer Systems Analysts15-1211	12	$103,833	$105,163	-1%
Computer Systems Analysts15-1121	8	$88,500	$88,740	0%

Compare on a chart / export data

Wages against industry peers

Median H-1B wage for DATAEDGE, Inc. against the NAICS 541 cohort (107,779 employers in the same industry).

Employer median$94,000Annual offered wage

Industry median$84,000NAICS 541 · 107,779 employers

Compare on a chart / export data

DATAEDGE, Inc.$94K

Industry median$84K

Modeled displacement estimate

778

The math

Base (1 per certified worker)

+595

Wage-gap multiplier

587 of 595 filings below BLS median

+183

Total778

Σ workers×(1+wage_gap) + Σ WARN layoffs. The 1.0 base rate per certified H-1B worker request is a site model assumption. Wage gap multiplier = (BLS median − offered wage) / BLS median, applied only to filings offering less than the BLS median. Related research provides context, not validation of these exact coefficients. This is a modeled estimate, not a count of actual displacements.

Exposure method v1.2 · This is a modeled worker-equivalent count.

Modeled consequence estimates

Conditional impacts associated with modeled displacement

Explore DATAEDGE, Inc.’s scenarioEarnings · children · health · adjust the worker count

These are conditional population estimates scaled from DATAEDGE, Inc.'s current modeled displacement count. They are not observed outcomes, a prediction about any person, or evidence that this entity caused displacement.

Exposure method v1.2 (stored with this aggregate) · benchmarked to the latest BLS survey. Consequence parameters v1.54; build v1.54+engine0.4.1+d84162591c94d06c8148c4834ae705ff3f9a015c29955d95d26749834cd136ed+national-reference1

Excess deaths over 20 years

Illustrative reference calculation · population applicability is not established

22.37

Range: 8.76 to 38.96

20-year reference scenario: high-seniority male displacement effect. This is not an expected count for an unknown population.

Source-profile mortality point (deaths): 22.3674752674
No sustained excess from year 7 (deaths): 15.9623035205

Declared structural comparison; not a confidence interval or a model probability.

Baseline population: US prime-age men (45-54).

Child lifetime earnings lost

Illustrative reference calculation · population applicability is not established

$372.5M

Range: $96.7M to $628.8M

Canadian father–son firm-closure effect, applied to a US male lifetime-earnings baseline in 2024 dollars. The reference result uses 2 children per worker.

Baseline population: US male median lifetime earnings.

The mortality effect comes from a high-seniority male study cohort. Treat the count as a reference scenario unless the population matches. A mixed population needs a reviewed transport rule.

The range is the engine's parameter-support envelope: it varies declared parameters only and adds none of the exposure input's uncertainty.

The math, limits, and citations

Illustrative reference calculation scaled by the supplied worker-equivalent exposure. Two children per worker; 20-year mortality follow-up. This does not establish that an entity caused these outcomes.

Input SHA-256: a771d456f24b73ab4a27e51e83ec07640a0d93114d4ffc968aae925e700d843d

Excess deaths over 20 years: {"status":"illustrative_reference_calculation","eligible_for_public_headline":false,"target_population":null,"decision":null,"transport_assumptions":["high-tenure male mass-layoff cohort, ages 45–54","Pennsylvania early-1980s response transported to target place and calendar time","fixed baseline age rate over follow-up; cohort aging is not modeled"],"reason":"Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."}

Child lifetime earnings lost: {"status":"illustrative_reference_calculation","eligible_for_public_headline":false,"target_population":null,"decision":null,"transport_assumptions":["Canadian father-son firm-closure estimate transported to the target families","US male synthetic career earnings convert a relative adult earnings effect to dollars","lifetime dollars are undiscounted; this is not an annual loss"],"reason":"Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."}

Projection eligibility: {"child":{"status":"direct_estimate","eligible_for_validated_direct_contrast":true,"reason":"direct displacement-to-child adult earnings estimate; transport still requires an applicability decision"},"grandchild":{"status":"structural_projection","eligible_for_validated_direct_contrast":false,"reason":"combines a direct child estimate with an intergenerational persistence assumption; not an identified displacement intervention effect"},"greatgrandchild":{"status":"source_withdrawn","eligible_for_validated_direct_contrast":false,"reason":"source withdrawn for grandchild_earnings->greatgrandchild_earnings: The source measures earnings for three generations and education for four. It does not estimate .55 causal gap transmission to a fourth earnings generation. Retaining a projection would require an explicit uncalibrated assumption, not a source-identified default."}}

Exposure source: {"source":"one-worker normalized reference input","method":"scale by the stored warehouse worker-equivalent exposure at read time"}

Exact values: excess deaths over 20 years 22.3674752674 (range 8.75938908874 to 38.9625080098); child lifetime earnings lost $372,466,070.21 (range $96,744,433.82 to $628,838,819.84);

The displayed range is a parameter-support envelope, not a confidence interval.

Place reference: national reference.

Not included: exposure estimation error; baseline estimation error; unmodeled pathways.

Blocked model paths: local_service_jobs_lost: requires a documented net local loss of tradable jobs; worker displacement alone is not this exposure.

Excess deaths over 20 years: sullivan2009 (earnings_shock->mortality_peak; canonical) Study population: US high-seniority displaced men born 1930-1959.
Excess deaths over 20 years: sullivan2009 (earnings_shock->mortality_offset_1; canonical) Study population: US high-seniority displaced men born 1930-1959.
Excess deaths over 20 years: sullivan2009 (earnings_shock->mortality_offsets_2_3; canonical) Study population: US high-seniority displaced men born 1930-1959.
Excess deaths over 20 years: sullivan2009 (earnings_shock->mortality_offsets_4_5; canonical) Study population: US high-seniority displaced men born 1930-1959.
Excess deaths over 20 years: sullivan2009 (earnings_shock->mortality_sustained; canonical) Study population: US high-seniority displaced men born 1930-1959.
Child lifetime earnings lost: oreopoulos2008 (displacement->child_earnings; EXACT) Study population: Canada 39k father-son pairs firm closures.

Scenario assumptions, sensitivity and source records

Outcome statistics use the displayed exposure. Baselines, coefficients, annual family schedules and component records retain their source normalization.

{
  "displayed_workers": 777.763,
  "source_normalization_workers": 1,
  "applicability": {
    "excess_deaths": {
      "status": "illustrative_reference_calculation",
      "eligible_for_public_headline": false,
      "target_population": null,
      "decision": null,
      "transport_assumptions": [
        "high-tenure male mass-layoff cohort, ages 45–54",
        "Pennsylvania early-1980s response transported to target place and calendar time",
        "fixed baseline age rate over follow-up; cohort aging is not modeled"
      ],
      "reason": "Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."
    },
    "child_lifetime_earnings_lost_usd": {
      "status": "illustrative_reference_calculation",
      "eligible_for_public_headline": false,
      "target_population": null,
      "decision": null,
      "transport_assumptions": [
        "Canadian father-son firm-closure estimate transported to the target families",
        "US male synthetic career earnings convert a relative adult earnings effect to dollars",
        "lifetime dollars are undiscounted; this is not an annual loss"
      ],
      "reason": "Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."
    }
  },
  "target_population": null,
  "projection_eligibility": {
    "child": {
      "status": "direct_estimate",
      "eligible_for_validated_direct_contrast": true,
      "reason": "direct displacement-to-child adult earnings estimate; transport still requires an applicability decision"
    },
    "grandchild": {
      "status": "structural_projection",
      "eligible_for_validated_direct_contrast": false,
      "reason": "combines a direct child estimate with an intergenerational persistence assumption; not an identified displacement intervention effect"
    },
    "greatgrandchild": {
      "status": "source_withdrawn",
      "eligible_for_validated_direct_contrast": false,
      "reason": "source withdrawn for grandchild_earnings->greatgrandchild_earnings: The source measures earnings for three generations and education for four. It does not estimate .55 causal gap transmission to a fourth earnings generation. Retaining a projection would require an explicit uncalibrated assumption, not a source-identified default."
    }
  },
  "child_applicability": {
    "source": "oreopoulos2008",
    "source_age_at_displacement": [
      10,
      14
    ],
    "source_child_sex": "Male",
    "source_parent_sex": "Male",
    "source_geography": "Canada",
    "source_event": "father firm closure 1980-1982",
    "target_child_profiles": null,
    "incompatible_children": [],
    "unknown_children": [],
    "source_income_quartile": null,
    "income_rank_definition": null,
    "eligible_for_reviewed_transport": false,
    "status": "unknown",
    "limitations": [
      "No response curve across child ages is identified by this narrow cohort.",
      "Income groups refer to father's average pre-displacement income in 1978-1979; target rank mapping requires a transport argument.",
      "A subgroup's nonsignificant coefficient is retained with its uncertainty, not replaced with zero."
    ]
  },
  "child_valuation": null,
  "assumptions": {
    "mortality_method": "odds_survival",
    "mortality_timing": "Source-offset profile: displacement, +1, +2–3, +4–5, and +6+; displacement is follow-up year 1, so offset +6 begins in follow-up year 7. Annual baseline rates use a constant-hazard rate-to-risk conversion; odds ratios modify annual risk, and survival compounds across phases. The selected baseline age rate is held fixed over the follow-up horizon.",
    "mortality_contract": {
      "method": "odds_survival",
      "timing": "source_profile",
      "baseline_conversion": "1-exp(-annual_rate)",
      "phases": [
        {
          "phase": "displacement",
          "start_offset": 0,
          "duration_years": 1,
          "first_follow_up_year": 1
        },
        {
          "phase": "offset_1",
          "start_offset": 1,
          "duration_years": 1,
          "first_follow_up_year": 2
        },
        {
          "phase": "offsets_2_3",
          "start_offset": 2,
          "duration_years": 2,
          "first_follow_up_year": 3
        },
        {
          "phase": "offsets_4_5",
          "start_offset": 4,
          "duration_years": 2,
          "first_follow_up_year": 5
        },
        {
          "phase": "offset_6_plus",
          "start_offset": 6,
          "duration_years": null,
          "first_follow_up_year": 7
        }
      ],
      "description": "Source-offset profile: displacement, +1, +2–3, +4–5, and +6+; displacement is follow-up year 1, so offset +6 begins in follow-up year 7. Annual baseline rates use a constant-hazard rate-to-risk conversion; odds ratios modify annual risk, and survival compounds across phases. The selected baseline age rate is held fixed over the follow-up horizon."
    },
    "place_application": "initial_only",
    "place_counterfactual": "national child-dollar result is the reference"
  },
  "exposure_provenance": {
    "source": "one-worker normalized reference input",
    "method": "scale by the stored warehouse worker-equivalent exposure at read time"
  },
  "place": null,
  "place_mix": [],
  "input_content_sha256": "a771d456f24b73ab4a27e51e83ec07640a0d93114d4ffc968aae925e700d843d",
  "engine_version": "0.4.1",
  "bundle_sha256": "d84162591c94d06c8148c4834ae705ff3f9a015c29955d95d26749834cd136ed",
  "exposure_input_sha256": "8b4c78f6529f0fbefd8fc3154c9e9b976065d910b4c6e9d55690e36d5c3cdeaa",
  "input_hash": null,
  "engine_sha256": "d84162591c94d06c8148c4834ae705ff3f9a015c29955d95d26749834cd136ed",
  "adapter_sha256": "5fe4b51a9cebfb247cfcd74c734a2b6cb0eae44fce1073917b01455525c6ae52",
  "outcomes": {
    "excess_deaths": {
      "point": 22.36747526742155,
      "low": 8.759389088735132,
      "high": 38.96250800975224,
      "unit": "deaths",
      "baseline": {
        "value": 0.004944,
        "annual_probability": 0.004931798548274205,
        "unit": "deaths_per_person_year",
        "citation": "cdc_wonder D76 (Underlying Cause of Death, 1999-2020), Male 45-54 years, pooled 2015-2019: 514314 deaths / 104024440 person-years = 494.4 per 100k; pulled 2026-09-06 via scraper.cli wonder-mortality into warehouse wonder_mortality",
        "population": "US prime-age men (45-54)",
        "notes": "Pre-pandemic window: excludes 2020 (COVID-distorted; 2020 crude rate 601.5/100k). Single-year 2019 = 490.0/100k. Ages 45-54 match the Sullivan & von Wachter prime-age counterfactual population",
        "sex": "Male",
        "age": "45-54 years",
        "years": "2015-2019",
        "cause": "All causes",
        "geography": "US"
      },
      "steps": [
        {
          "link": "earnings_shock->mortality_peak",
          "phase": "displacement",
          "point": 2.6698,
          "low": 2.1144,
          "high": 3.3711,
          "citation": "sullivan2009",
          "tier": "canonical",
          "population_scope": "US high-seniority displaced men born 1930-1959",
          "evidence_role": "conditional"
        },
        {
          "link": "earnings_shock->mortality_offset_1",
          "phase": "offset_1",
          "point": 1.9838,
          "low": 1.3697,
          "high": 2.8732,
          "citation": "sullivan2009",
          "tier": "canonical",
          "population_scope": "US high-seniority displaced men born 1930-1959",
          "evidence_role": "conditional"
        },
        {
          "link": "earnings_shock->mortality_offsets_2_3",
          "phase": "offsets_2_3",
          "point": 1.7315,
          "low": 1.3238,
          "high": 2.2649,
          "citation": "sullivan2009",
          "tier": "canonical",
          "population_scope": "US high-seniority displaced men born 1930-1959",
          "evidence_role": "conditional"
        },
        {
          "link": "earnings_shock->mortality_offsets_4_5",
          "phase": "offsets_4_5",
          "point": 1.2712,
          "low": 0.97,
          "high": 1.6661,
          "citation": "sullivan2009",
          "tier": "canonical",
          "population_scope": "US high-seniority displaced men born 1930-1959",
          "evidence_role": "conditional"
        },
        {
          "link": "earnings_shock->mortality_sustained",
          "phase": "offset_6_plus",
          "point": 1.1354,
          "low": 1.0335,
          "high": 1.2474,
          "citation": "sullivan2009",
          "tier": "canonical",
          "population_scope": "US high-seniority displaced men born 1930-1959",
          "evidence_role": "conditional"
        }
      ],
      "components": {
        "follow_up_years": 20,
        "method": "odds_survival",
        "timing": "source_profile"
      },
      "applicability": {
        "status": "illustrative_reference_calculation",
        "eligible_for_public_headline": false,
        "target_population": null,
        "decision": null,
        "transport_assumptions": [
          "high-tenure male mass-layoff cohort, ages 45–54",
          "Pennsylvania early-1980s response transported to target place and calendar time",
          "fixed baseline age rate over follow-up; cohort aging is not modeled"
        ],
        "reason": "Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."
      },
      "interpretation": "Conditional modeled expected difference; parameter bands are support envelopes, not a confidence interval.",
      "persistence_sensitivity": {
        "available": true,
        "status": "declared_structural_sensitivity",
        "eligible_for_public_headline": false,
        "unit": "deaths",
        "variants": {
          "source_profile": {
            "point": 22.36747526742155,
            "low": 8.759389088735132,
            "high": 38.96250800975224,
            "evidence_status": "source_profile_with_transport_assumptions",
            "citations": [
              "sullivan2009"
            ]
          },
          "no_sustained_excess": {
            "point": 15.962303520473721,
            "low": 7.1483150205813555,
            "high": 27.50269187373851,
            "evidence_status": "structural_assumption",
            "motivating_citations": [
              "eliasonstorrie2009"
            ],
            "assumption": "Retain source odds through offset +5; set offset +6 onward OR=1.",
            "first_changed_follow_up_year": 7,
            "fixed_late_odds_ratio": 1
          }
        },
        "source_minus_no_sustained_point": 6.405171746947831,
        "structural_point_range": {
          "low": 15.962303520473721,
          "high": 22.36747526742155,
          "interpretation": "Range of point estimates across these two assumptions; not a confidence interval or a bound on the true effect."
        },
        "shared_inputs": [
          "exposure",
          "resolved mortality baseline",
          "follow-up horizon",
          "source odds through offset +5"
        ],
        "limitations": [
          "No probabilities or model-average weights are assigned to the structures.",
          "A nonsignificant long-run estimate does not establish an exactly zero effect.",
          "The Swedish study differs in population, design, effect scale and follow-up; this hybrid does not reproduce its estimates or substitute its hazard ratios for odds ratios.",
          "The cutoff follows the source profile's offset +6 phase, not the Swedish study's windows; persistence beyond its 12-year follow-up is an assumption in either direction.",
          "Baseline aging and target-population transport remain unresolved in both structures."
        ]
      }
    },
    "child_lifetime_earnings_lost_usd": {
      "point": 372466070.21020335,
      "low": 96744433.82083209,
      "high": 628838819.8354081,
      "steps": [
        {
          "link": "displacement->child_earnings",
          "kind": "direct",
          "citation": "oreopoulos2008",
          "tier": "EXACT",
          "param_point": 0.9076,
          "param_low": 0.844,
          "param_high": 0.976,
          "value_point": 0.9076,
          "value_low": 0.844,
          "value_high": 0.976,
          "causal_role": "direct_displacement_estimate",
          "population_scope": "Canada 39k father-son pairs firm closures",
          "evidence_role": "conditional"
        }
      ],
      "unit": "usd_2024",
      "baseline": {
        "value": 2591418,
        "unit": "usd_2024",
        "citation": "SSA Annual Statistical Supplement 2025, Table 4.B6 (CWHS/Master Earnings File, 1 percent sample): male median earnings by age, 2023 (preliminary) — synthetic career ages 20-64 = 5x(24218+42561+52485+60423+64962+67506+68160+64854)+2x60666+3x56666 = 2517175 usd_2023; CPI-U annual averages 304.702->313.689 (BLS series CUUR0000SA0, pulled 2026-09-06) -> 2591418 usd_2024; warehouse ssa_median_earnings (pulled via ssa-earnings-download)",
        "population": "US male median lifetime earnings",
        "notes": "Derivation declared: the cross-sectional age profile summed over a 45-year working life (ages 20-64) is a synthetic cohort — the sum of age-band medians approximates rather than equals the median of individual lifetime sums; median-of-workers semantics excludes non-working years; 2023 medians are preliminary (SSA replaces them with final data in a later edition)"
      },
      "applicability": {
        "status": "illustrative_reference_calculation",
        "eligible_for_public_headline": false,
        "target_population": null,
        "decision": null,
        "transport_assumptions": [
          "Canadian father-son firm-closure estimate transported to the target families",
          "US male synthetic career earnings convert a relative adult earnings effect to dollars",
          "lifetime dollars are undiscounted; this is not an annual loss"
        ],
        "reason": "Target cohort applicability and transport have not been established for this outcome; display as an illustrative reference calculation."
      },
      "interpretation": "Conditional modeled expected difference; parameter bands are support envelopes, not a confidence interval."
    }
  }
}

Parameter set v1.54 · model v1.54+engine0.4.1+d84162591c94d06c8148c4834ae705ff3f9a015c29955d95d26749834cd136ed+national-reference1

Connections to investigate

Follow public money, visa requests and labor records. Separate documented findings from signals for review.

Registry and filing review: 4/7 checks flagged

Each badge represents one flagged check in the stored review snapshot. Checks cover registry status, officer records, filing volume, H-1B dependency and DOL willful-violator status. Missing records can reflect coverage gaps. This count does not establish a shell company.

No linked state registry record500+ filings, no linked active registrationOfficer records found: 0 (100+ filings)H-1B Dependent

Additional context (not counted): average offered wage is 17.8% below the BLS market median.

Filing activity & decisions

Read individual applications beside the filing timeline. Explore how requests, wages and occupations change.

LCA filings (596)

Outcome percentages use quality-filtered H-1B filings with a submission date. The table includes all LCA outcomes and visa classes.

Certified

100%

Median offered wage

$94K

Top occupation

15-1132

SOFTWARE DEVELOPERS, APPLICATIONS

Latest year

2026

Below prevailing wage

Title · Worksite