County intelligence

Rock Island County

Illinois (IL) · FIPS 17161 · 526 employers · 5,660 filings with wage data

Employers in Rock Island, IL submitted 6,265 certified H-1B applications requesting 10,144 workers across 517 companies. The median offered wage is $75,000/yr. The largest filers are Yash Technologies, Inc, Cognizant Technology Solutions U.S. Corporation and Infosys Limited. The displacement model assigns 17.1K worker-equivalent exposures to these filings. Separately, 4,281 layoffs appear in matched WARN notices.

Source import recorded Sep 2, 2026

What the local records contain / DOL & WARN

What XH1B calculates / Local wage comparisons

How to read the wage comparison

County averages mix occupations and years. Offered wages and the latest available national BLS occupation medians are averaged separately over available records, so their populations can differ. This is a screening comparison, not a comparison of matched filings or a finding about an individual wage.

Definitions & methodology ↗

Filings & wages

Annual filing records and a county-level wage comparison.

Filing history

Annual DOL filing records. Workers requested are not confirmed hires.

02004006008001Kpeak 647 (2015)2007: 58 filings (58 workers)2008: 338 filings (522 workers)2009: 163 filings (291 workers)2010: 72 filings (73 workers)2011: 445 filings (1,012 workers)2012: 442 filings (662 workers)2013: 259 filings (473 workers)2014: 90 filings (141 workers)2015: 647 filings (967 workers)2016: 559 filings (1,090 workers)2017: 526 filings (646 workers)2018: 511 filings (626 workers)2019: 622 filings (627 workers)2020: 340 filings (482 workers)2021: 294 filings (606 workers)2022: 350 filings (650 workers)2023: 229 filings (355 workers)2024: 229 filings (362 workers)2025: 273 filings (872 workers)2026: 25 filings (33 workers)200720082009201020112012201320142015201620172018201920202021202220232024202520262007: 58 workers2008: 522 workers2009: 291 workers2010: 73 workers2011: 1,012 workers2012: 662 workers2013: 473 workers2014: 141 workers2015: 967 workers2016: 1,090 workers2017: 646 workers2018: 626 workers2019: 627 workers2020: 482 workers2021: 606 workers2022: 650 workers2023: 355 workers2024: 362 workers2025: 872 workers2026: 33 workersfilings
filingsworkers (scaled)
Inspect filing outcomes All available years and DOL statuses

Certified, denied, and withdrawn counts describe application decisions. They do not measure visas issued or workers hired.

Offered-wage distribution

Percentiles across 5,465 positive year-unit LCA offers, all outcomes and visa classes.

$48,930$67,309$85,687$104,065$122,444$74,922annual wage

Application outcomes all available years

  • Certified6,154 · 96.7%
  • Denied29 · 0.5%
  • Withdrawn178 · 2.8%
How this distribution is built Year-unit offers, all outcomes and visa classes

The distribution covers positive offers with wage unit Year, across all outcomes and visa classes. It differs from the certified H-1B summary cohort. It does not adjust for occupation, employer, or worksite mix.

Downstream impact

Conditional effects of this county's modeled displacement exposure.

Americans displaced (modeled estimate)

17,131

The math
Base (1 per certified worker)
+10,144
Wage-gap multiplier

4790 of 6265 filings below BLS median

+2,706
WARN layoffs (government-reported)

17 notices filed · 1 flagged, excluded pending review

+4,281
Total17,131

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. WARN layoff counts are government-reported.

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

Modeled consequence estimates

Conditional impacts associated with modeled displacement

Explore Rock Island County’s scenarioEarnings · children · health · adjust the worker count

These are conditional population estimates scaled from Rock Island County'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

492.67

Range: 192.94 to 858.2

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

Source-profile mortality point (deaths)
492.674901346
No sustained excess from year 7 (deaths)
351.592042382

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

$8.2B

Range: $2.1B to $13.9B

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 492.674901346 (range 192.937785939 to 858.20368908); child lifetime earnings lost $8,204,085,718.29 (range $2,130,931,355.40 to $13,851,053,810.10);

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": 17131.317,
  "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": 492.67490134637205,
      "low": 192.937785939242,
      "high": 858.2036890802272,
      "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": 492.67490134637205,
            "low": 192.937785939242,
            "high": 858.2036890802272,
            "evidence_status": "source_profile_with_transport_assumptions",
            "citations": [
              "sullivan2009"
            ]
          },
          "no_sustained_excess": {
            "point": 351.5920423823855,
            "low": 157.45162810964356,
            "high": 605.7852235736829,
            "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": 141.08285896398652,
        "structural_point_range": {
          "low": 351.5920423823855,
          "high": 492.67490134637205,
          "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": 8204085718.291111,
      "low": 2130931355.4002898,
      "high": 13851053810.101873,
      "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

Local connections

County context, public notices, and linked public records.

Community well-being

Food insecurity, SNAP receipt, mental distress, smoking, and overdose mortality in this area. CDC models these from survey data: treat them as local estimates, not headcounts. Bars compare each estimate against population-weighted averages of all reporting areas for the same data year.

Food insecurity

2023

16.4%: 1.2 points above U.S.

Adults receiving SNAP

2023

15.6%: 3.8 points above U.S.

Frequent mental distress

2023

16.9%: 0.9 points above U.S.

Adult smoking

2023

14.5%: 2.4 points above U.S.

Drug overdose deaths

2021

20.0: 12.2 below U.S.

Source: CDC PLACES 2025 release (BRFSS survey year 2023) and NCHS drug poisoning mortality. PLACES values are model-based small-area estimates, not survey counts. Benchmarks are population-weighted averages across all reporting areas.

Medical workforce context

AHRF supply DOL filingsRecordAHRF county supply data and H-1B medical LCAs. Comparisons use the median US county.
MDs per 100k residents144↑ 92% above
Active MDs (non-federal)204
Nurse practitioners per 100k120↑ 25% above
County population141,236
Primary care HPSA designations1
H-1B medical workers certifiedhealthcare SOCs (29-* + 31-2*)25747% of BLS
Full medical breakdown

Rock Island County in context

DOL filings CountyRecordH-1B intensity by county across Illinois. This county is highlighted. Click any county to drill in.
Loading map…
Read the county map County-level H-1B intensity

The map gives geographic context. A county average does not classify every filing, employer, or worker within it.

Employers & occupations

The sponsors and job categories recorded in this county.

Employers (526)

DOL filings EmployerRecordRanked by applications in this county.
EmployerFilings
1

Yash Technologies, Inc ⚠ Dep

2,269
2

Deere & Company

438
3

Infosys Limited ⚠ Dep

386
4

Deere and Company

353
5

SBP Consulting Inc. ⚠ Dep

351
6

4C Solutions, Inc.

207
7

IBM India Private Limited ⚠ Dep

181
8

Cognizant Technology Solutions US Corp. ⚠ Dep

171

Job categories (88)

  • Physical Therapists$23.4M · 41.6%
  • Software Developers$12.9M · 23.0%
  • Occupational Therapists$8.9M · 15.8%
  • Computer Occupations, All Other$3.7M · 6.6%
  • Mechanical Engineers$3.1M · 5.5%
  • Electrical Engineers$1.9M · 3.4%
  • Computer and Information Systems Managers$1.3M · 2.2%
  • Engineers, All Other$1M · 1.8%
DOL wage offers BLS occupationsSignalOccupation averages need not describe each filing.
Job categoryH-1B vs BLS
29-1123 Physical TherapistsH-1B $61.2K vs BLS $102.8K-40%

677 workers · 42 filings · $23.4M wage theft

15-1252 Software DevelopersH-1B $114.6K vs BLS $136K-16%

561 workers · 561 filings · $12.9M wage theft

29-1122 Occupational TherapistsH-1B $60.8K vs BLS $100.3K-39%

242 workers · 8 filings · $8.9M wage theft

15-1299 Computer Occupations, All OtherH-1B $86.2K vs BLS $116.6K-26%

117 workers · 45 filings · $3.7M wage theft

17-2141 Mechanical EngineersH-1B $78.5K vs BLS $104.1K-25%

117 workers · 117 filings · $3.1M wage theft

17-2071 Electrical EngineersH-1B $107.3K vs BLS $120.6K-11%

123 workers · 123 filings · $1.9M wage theft

23 workers · 23 filings · $1.3M wage theft

17-2199 Engineers, All OtherH-1B $72.9K vs BLS $122.9K-41%

20 workers · 20 filings · $1.0M wage theft

Labor condition applications (6,499)

DOL filings BLS occupationsRecordAll recorded outcomes and visa classes. Use the wage badge to inspect an offer against available benchmarks.
Title · Worksite

A negative % sits below the BLS market median; a positive % sits above.

What the filing rows show One application per row

Each row links to the disclosure record. A wage comparison is a screening calculation, not a finding of a wage violation.

WARN notices (17)Public layoff notices: open to inspect
WARN EmployerReviewOpen a notice to inspect its stated effective date and worker count. Coverage varies by state; some states file no public WARN data.

Tyson Foods

2026-10-12 · Hillsdale

2,495

Fortrex (at Tyson Foods)

2026-08-18 · Hillsdale

103

Optum Services, Inc.

2026-08-06 · Moline

98

Ryder Integrated Logistics, Inc.

2025-09-27 · East Moline

32

John Deere Harvester Works

2024-08-30 · East Moline

279

Group O, Inc.

2024-08-23 · Rock Island

0

John Deere Harvester Works

2024-07-25 · East Moline

21

Records to inspect

Open the linked public records behind this county's filings.

Immigration law firms (168)

DOL filings Law firmRecordNames are shown as recorded.

Federal contracts (431)

Federal awards EmployerRecordAmounts are individual award actions, not total contract values.
VISTA DEFENSE TECHNOLOGIES, LLC
Department of Defense · Nov 19, 2025
$5.4M
FIO LLC
Department of Defense · Mar 31, 2026
$3.6M
OSTROM PAINTING & SANDBLASTING, INC
Department of Defense · Mar 30, 2026
$3M
VISTA DEFENSE TECHNOLOGIES, LLC
Department of Defense · May 11, 2026
$1.8M
JOHN DEERE SHARED SERVICES, LLC
Department of the Interior · May 26, 2026
$1.1M
KONE INC
Department of Veterans Affairs · May 28, 2026
$734.5K
KONE INC.
General Services Administration · Aug 13, 2026
$693K
JOHN DEERE SHARED SERVICES, LLC
Department of Defense · Feb 4, 2026
$620.8K

Evidence & sources

Scope, methods, and source coverage for this county record.

Public source records and site analysis. We do not attest to accuracy. Read the full disclaimer.

Dataset guides and site methods

  1. [1] Dataset documentation · DOL OFLC. LCA public disclosure record layout (FY2026 Q3). Pages 1–4: application, DOL outcome and dates, requested positions, employer, representatives, worksites and pay unitsThis layout covers determinations issued October 1, 2025 through June 30, 2026. It documents employer-provided application fields and DOL decisions, not USCIS decisions, payroll verification, legal bills or worker-linked moves. Older layouts can differ.Checked 2026-10-17.
  2. [2] Dataset documentation · BLS. OEWS technical notes (May 2025). Scope of the survey; occupational coding; concepts and estimation methodologyDocuments occupation and geographic wage estimates, not an individual worker’s pay. Use the estimate year and geography stated by the site; older releases can differ.Checked 2026-10-17.
  3. [3] XH1B method or registry · XH1B. WARN Notices (mass layoffs): source registry; Calculation and Matching Methods; Reading Public Records and Derived Indicators. Source registry entry: warn; Filing units, annualization, weighting, wage comparisons, and inference limits; Reading records: units, source coverage, wage gaps, entity links, and inference limitsXH1B dataset description: One row per source_notice_id. The definition of a mass layoff and the layoff threshold vary by state. The threshold is typically 50 or more employees.; These are the site's review methods, not validated predictions of wrongdoing. Inspect underlying records and alternative explanations.
  4. [4] Dataset documentation · USAspending / U.S. Treasury. Federal Spending Guide: contract transactions. Pages 3, 5, 9 and 17: transactions, amount fields and recipient identifiersContract downloads contain prime award transactions. XH1B’s use of recipient identifiers for employer links is its own processing step.Checked 2026-10-18.
  5. [5] XH1B method or registry · XH1B. Displacement Model and Assumptions. Eligibility, requested-position weighting, scopes, WARN matching, and counting limitsModel outputs are estimates. A matched layoff notice does not prove that an H-1B worker replaced a laid-off worker.
  6. [6] XH1B method or registry · XH1B. Downstream Research and Methods. Study populations, parameter bounds, baselines, and expected outcomes; linked model card
  7. [7] Dataset documentation · HRSA. Area Health Resources Files: 2024–2025 technical documentation. County User Guide: physicians, Table 10 NPI professions, population estimates and missing values; Technical Documentation: variable years and sourcesClinician categories and variable years differ. County APRN counts use NPI taxonomy; physician active and federal status matter. Release year is not the year of every measure.Checked 2026-10-18.
Questions about the data & methods

How many H-1B filings are in Rock Island County, IL?

6,265 H-1B labor condition applications requesting 10,144 workers have been filed in Rock Island County, IL, per Department of Labor disclosure records.

How many employers have H-1B filings in Rock Island County, IL?

517 distinct employers have filed H-1B labor condition applications in Rock Island County, IL. The employer list on this page is ranked by filings and wage impact.

What worker-equivalent exposure does the displacement model estimate for Rock Island County, IL?

The model estimates 17,131 worker-equivalents of displacement exposure in Rock Island County, IL: one per requested worker on a certified H-1B filing, raised where the offered wage sits below the occupation's BLS median, plus government-reported WARN layoffs matched to filings. This is a modeled exposure estimate, not a count of documented job losses; the formula is on the About page.

What is the median H-1B wage in Rock Island County, IL?

$75,000 per year is the median wage offered on H-1B labor condition applications filed for work in Rock Island County, IL. The wage-distribution chart on this page shows the spread around that median.

Who files the most H-1B filings in Rock Island County, IL?

Yash Technologies, Inc leads with 2,269 filings, about 36% of all Rock Island County, IL filings. Its dossier page carries the full filing, wage, and layoff history.

What share of Rock Island County, IL H-1B filings does DOL deny?

DOL disclosure records show 6,154 certified, 29 denied, 178 withdrawn of 6,361 labor condition applications with reported outcomes in Rock Island County, IL. The denial share is 0% across the reported outcomes.

How many WARN layoff notices has Rock Island County, IL recorded?

17 Worker Adjustment and Retraining Notification (WARN) notices. Where a layoff employer then filed H-1B labor condition applications in the same window, the pair is recorded as a displacement event with an evidence score.

When did H-1B use peak in Rock Island County, IL?

Filings peaked in 2015 at 647 labor condition applications. The filings-by-year chart on this page shows the full trend since records began.

Which immigration law firms file the most H-1B filings in Rock Island County, IL?

168 distinct law firms and agents have filed H-1B applications for employers in Rock Island County, IL. The law-firm table on this page ranks them by filings and by the wage gap their filings carry.

Do Rock Island County, IL H-1B employers hold federal contracts?

431 federal contract actions in Rock Island County, IL name employers that also file H-1B labor condition applications. The contracts table links each award to the employer dossier. A shared employer name does not show how award funds were spent.

Where does the Rock Island County, IL H-1B data come from?

Every figure on this page traces to a public government record: DOL OFLC disclosure files (LCA filings, wages, outcomes), BLS OES wage data (occupation medians), state WARN notices, and federal contract awards. The archive is read-only evidence; nothing is crowdsourced or anonymous.