Statisticians H-1B Wage Premium
The DOL prevailing wage is the legal minimum an employer must pay for a given role, level, and location — not a target. For Statisticians, certified H-1B filings pay a median of 18.2% above that floor, but 23.3% of filings are at or within 1% of the legal minimum.
What "Wage Premium" Means
Every H-1B Labor Condition Application states a DOL-determined prevailing wage — the minimum legally required for that occupation, experience level, and worksite. Wage premium is how much an employer's actual offered wage exceeds that floor. A 0% premium means the filing states exactly the legal minimum; it is not evidence of a problem, but it means the offered wage carries no information beyond what the law already requires.
Premium varies enormously by employer for the same occupation — some pay the floor on every filing, others consistently pay well above it. The table below is not a ranking of employer quality; it measures one thing only: how each employer's offered wage compares to the legal minimum for Statisticians filings.
Employers Paying Furthest Above the Floor
| Employer | Certified Filings | Avg. Premium |
|---|---|---|
| Balyasny Asset Management, L.P. | 31 | +98.5% |
| Bank of America N.A. | 45 | +84.4% |
| A.T. Kearney, Inc. | 37 | +78.6% |
| Morgan Stanley & Co., LLC | 83 | +74.7% |
| Twitter, Inc. | 47 | +69.5% |
| Shipt, Inc. | 36 | +63.5% |
| Credit Karma LLC | 67 | +60.7% |
| Microsoft Corporation | 70 | +59.2% |
Employers with at least 30 certified Statisticians filings, ranked by average premium over prevailing wage.
Related H-1B Data
H1B Visa Jobs Research Team
Computed from US Department of Labor LCA disclosure files for Statisticians, comparing each filing's offered annual wage to its own DOL prevailing wage figure (annualized from an hourly rate where filed hourly), filtered to certified petitions with annual wages between $30K and $1M and a positive prevailing wage on file. Per-employer premium is shown only where an employer has at least 30 qualifying Statisticians filings, to keep the percentage from being driven by a handful of cases.