Paralegal Salary 2026

All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers. Employers report actual payroll data (not employee estimates). The BLS publishes national, state, and metro-area figures for every Standard Occupational Classification (SOC) code. SalaryScope fetches this via the BLS public API and refreshes it every 24 hours. Data is never sourced from voluntary self-reports.

The BLS publishes exact hourly percentile wages for each occupation. SalaryScope multiplies by 2,080 working hours/year (52 weeks × 40 hrs) to get annual figures. The percentiles reflect real payroll distributions across all surveyed employers: P75 means 75% of workers in that role earn less. Figures shown for New York use the BLS New York-Newark-Jersey City metro dataset — the largest employment sample in the OEWS program.

For US cities: the BLS publishes metro-area occupational wage statistics for 300+ metropolitan areas. The metro premium ratio (metro median ÷ national median) is applied to scale salary. For example, San Francisco has a 1.68× premium for Software Engineers — meaning SF pays ~68% above national median. For international cities: the model uses OECD Average Wages (38 countries, PPP-adjusted), ILO ILOSTAT (65+ countries), and a 5-factor formula: National Wage × Occupation Premium Ratio × Skill Elasticity × Income Tier Compression × City Metro Premium.

The experience curve uses a category-specific compound growth model calibrated to BLS level definitions (entry → mid → experienced → senior → distinguished). Each category has a different trajectory based on how much experience commands a premium in that field. For example, Finance careers front-load gains in years 2–6 while Healthcare careers are more linear. The curve anchors to the BLS P50 at mid-career (~5 years experience).

Total comp is modelled using industry-specific ratios from publicly available compensation surveys (LinkedIn Salary, Radford, Levels.fyi). Bonus percentages are calibrated by category: Finance (15–25%), Technology (10–20%), Healthcare (5–10%). Equity/RSUs are annualised over a standard 4-year cliff vest. Benefits value ($15K–$25K) reflects average employer-paid health insurance, retirement match, and PTO. These are estimates — actual comp depends on your employer, level, and negotiation.

US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wage data refreshes monthly. ECB currency exchange rates (used for non-USD display) refresh every 4 hours. New job titles are added weekly via an automated expansion pipeline.