🔬 Statistical Research

SalaryPulse Compensation Data & Percentile Methodology

This document outlines the data ingestion pipelines, statistical normalization formulas, and verification protocols utilized across all salary benchmarks on SalaryPulse.

1. Primary Data Sources & Citations

  • U.S. Bureau of Labor Statistics (BLS): Occupational Employment and Wage Statistics (OEWS) survey covering over 800 detailed Standard Occupational Classification (SOC) roles.
  • U.S. Department of Labor (DOL) Foreign Labor Certification: Certified H-1B, PERM, and LCA wage filing datasets providing verified employer-submitted compensation records.
  • SEC 10-K & DEF 14A Proxy Statements: Public company executive compensation, RSU vesting schedules, and corporate board filings.
  • Verified Community Submissions: User-reported compensation packages validated using outlier exclusion algorithms.

2. Percentile Distribution Mathematical Model

To eliminate extreme outliers (e.g. fraudulent submissions or extreme unvested founders equity), we apply an interquartile range (IQR) trimming protocol. We model compensation using 5 critical benchmark percentiles:

10th Percentile
Entry-level baseline wage for early career professionals.
50th (Median)
Midpoint wage representing the market clearing price for experienced execution.
90th Percentile
Top-tier compensation achieved by principal experts, leads, and high performers.

3. Cost of Living & Geographic Multipliers

Geographic compensation variations reflect local housing costs, municipal taxation, and regional talent density. We compute regional multipliers ($M_{loc}$) anchored to the national median baseline ($S_{national}$):

Local Adjusted Salary = National Median × Regional Multiplier × (1 + Industry Growth Factor)

4. Fact-Checking & Ongoing Audit Cycle

All figures on SalaryPulse are re-indexed bi-annually to reflect official BLS updates, inflation adjustments, and annual tech merit increase cycles.

-- Openings Active