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SalaryTruthBLS DATA

Updated May 2026 · BLS OEWS 2025

Head to Head

Compare Salaries Side by Side

Direct salary comparisons between 12+ pairs of common U.S. occupations, drawn from Bureau of Labor Statistics OEWS percentile wages. Each comparison shows median pay, the 10th-to-90th percentile spread, employment counts, and city-by-city differences so you can see exactly where one path pulls ahead of the other.

Why Side-by-Side Salary Comparisons Matter

A median salary in isolation tells you very little. The same $85,000 median can sit on top of a tight distribution where most workers earn close to that number, or on top of a wide distribution where the 90th percentile is double the 10th. Comparing two occupations side by side surfaces those distribution differences — useful when you are choosing between two adjacent careers, weighing a degree program, or deciding whether a lateral move is actually a step up.

The widest gap among popular comparisons here is Lawyer vs Paralegal: a difference of $82,404 in national median pay. Differences that large usually reflect education or licensing barriers more than supply and demand.

For broader career planning, the highest-paying careers guide ranks occupations by median pay; the negotiation guide shows how to use percentile data to anchor an offer.

Popular Salary Comparisons (2025)

How to Read a Salary Comparison

Every comparison page on SalaryTruth surfaces three reads. First, the headline: which occupation pays more on national median, and by how much. Second, the spread: the 10th-to-90th percentile band, which shows how far the top earners pull ahead of the bottom — wider spread usually means more upside for senior or specialized workers. Third, the geographic detail: city-by-city medians for both roles in matching metros, so the cost-of-living comparison is held constant.

The cost-of-living signal matters most when one of the occupations clusters in expensive coastal metros and the other is more evenly distributed nationally. A role with a higher national median can still produce lower purchasing power if its workers concentrate in markets where housing alone eats 40%+ of pre-tax pay.

How This Comparison Data Is Built

Wage figures come directly from the U.S. Bureau of Labor Statistics' Occupational Employment and Wage Statistics program — a federal survey of 1.2 million U.S. establishments. We match each pair of occupations on Standard Occupational Classification (SOC) code, pull percentile wages for every metro that publishes both, and compute the metro-level pay gap. Independent corroboration from the Current Population Survey and Census ACS earnings data is used to spot-check national medians. Read the full methodology for details.

Frequently Asked Questions

How are these salary comparisons calculated?

Each side-by-side comparison uses Bureau of Labor Statistics OEWS percentile wages for the matching SOC occupation code. Medians are computed across BLS-tracked metros, and the comparison includes the same percentile bands (10th, 25th, 50th, 75th, 90th) for both roles so the spread is directly comparable.

Why compare two occupations?

Occupation comparisons are most useful when you are choosing between two adjacent career paths (RN vs. Nurse Practitioner, software developer vs. data scientist, electrician vs. plumber) or evaluating a lateral move. Comparing percentile ranges — not just medians — shows whether the upside or downside differs more between the two paths.

Should I pick the higher-median occupation?

Median pay is one input, not the whole answer. Education and licensing requirements, employment volume (job availability), geographic distribution of openings, and the trajectory of pay over a career all matter. A role with a slightly lower median but a much higher 90th percentile may have a steeper experience-driven pay curve.

Where does the underlying salary data come from?

Every wage figure comes from the U.S. Bureau of Labor Statistics' Occupational Employment and Wage Statistics (OEWS) program, which surveys about 1.2 million U.S. employers each year. Data is public domain and is the same source the U.S. Department of Labor uses to set H-1B prevailing wages.

How often is comparison data updated?

BLS publishes new OEWS data once per year, typically in spring for the prior survey year. The figures on this page reflect the 2025 BLS release. Each individual comparison page shows the same year on every section so the medians, means, and percentile bands are always sourced from a single dataset.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS), 2025 release. Public domain. See bls.gov/oes. For methodology see OEWS technical notes.

Last refreshed 2026-05-21 · 12 pre-built comparisons.