# H-1B Labor Condition Application: I-200-16147-059649

> Case record: https://www.xh1b.org/lca/I-200-16147-059649 · [employer profile](https://www.xh1b.org/org/rutgers-the-state-university-of-new-jers-687f3c242c)

| Metric | Value |
|---|---|
| Case number | I-200-16147-059649 |
| Case status | CERTIFIED-WITHDRAWN |
| Visa class | H-1B |
| Employer | Rutgers, The State University of New Jersey |
| FEIN | 22-6001086 |
| Employer NAICS | 611310 |
| Job title | Assistant Professor |
| SOC code | 19-1023 |
| SOC title | ZOOLOGISTS AND WILDLIFE BIOLOGISTS |
| Workers requested | 1 |
| Employment start | 2016-07-01 |
| Employment end | 2019-06-30 |
| Submitted | 2016-05-26 |
| Decision date | 2018-07-19 |

## Wages

| Metric | Value |
|---|---|
| Offered wage (annualized) | $87K |
| Prevailing wage (annualized) | $61K |
| Wage unit | Year |
| Wage level | N/A |
| BLS market median (SOC) | $75K |
| BLS market area | New Jersey |
| BLS market survey year | 2016 |

| Metric | Value |
|---|---|
| Filed offer from | $87,345.00/Year |
| Filed offer to | $0.00/Year |
| Filed prevailing wage | $60,500.00/Year |

| Metric | Value |
|---|---|
| Worksite address | PORT NORRIS, NJ, 08349 |
| Employer address | NEW BRUNSWICK, NJ, 08901 |
| Attorney | , |
| Fiscal year | 2018 |



## Original sources

<a id="reference-original-lca-case-1"></a>

- U.S. Department of Labor. Original source link unavailable. The stored record does not establish an exact public document.

   Case: I-200-16147-059649

   File: H-1B\_Disclosure\_Data\_FY2018\_EOY.csv

   Ingested: 2026-07-11 11:54:38.614076+00

   Resolution: missing\_lineage, source\_link\_unavailable

## More

- Full page (charts, tables, interactive): https://www.xh1b.org/lca/I-200-16147-059649
- JSON API: https://www.xh1b.org/api/employer-lcas?employerId=3860900a-dd23-42d6-981b-2cd956a091f8


## References

<a id="reference-data-lca-data-required-wage-lca-attestations-bls-data-calculation-method-lca-data"></a>

1. Dataset documentation · DOL OFLC. [LCA public disclosure record layout (FY2026 Q3)](https://www.dol.gov/sites/dolgov/files/ETA/oflc/pdfs/FY26Q3/LCA_Record_Layout_FY2026_Q3.pdf). Pages 1–4: application, DOL outcome and dates, requested positions, employer, representatives, worksites and pay units. This 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.

<a id="reference-data-lca-data-required-wage-lca-attestations-bls-data-calculation-method-required-wage"></a>

2. Law or rulemaking · eCFR. [Required wage and wage sources](https://www.ecfr.gov/current/title-20/section-655.731#p-655.731(a)). 20 CFR 655.731(a). The required wage is the higher of the actual wage and prevailing wage. An independent market median is a comparison, not this legal test. Checked 2026-10-08.

<a id="reference-data-lca-data-required-wage-lca-attestations-bls-data-calculation-method-lca-attestations"></a>

3. Law or rulemaking · eCFR. [Labor Condition Application contents](https://www.ecfr.gov/current/title-20/section-655.730#p-655.730(d)). 20 CFR 655.730(c): application fields; 655.730(d)(1)–(4): wage, working-condition, strike/lockout and notice attestations. Checked 2026-10-17.

<a id="reference-data-lca-data-required-wage-lca-attestations-bls-data-calculation-method-bls-data"></a>

4. Dataset documentation · BLS. [OEWS technical notes (May 2025)](https://www.bls.gov/oes/2025/may/oes_tec.htm). Scope of the survey; occupational coding; concepts and estimation methodology. Documents 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.

<a id="reference-data-lca-data-required-wage-lca-attestations-bls-data-calculation-method-calculation-method"></a>

5. XH1B method or registry · XH1B. [Calculation and Matching Methods](https://www.xh1b.org/data-sources#calculation-methods). Filing units, annualization, weighting, wage comparisons, and inference limits.