About salary.city
Salary numbers lie. A $120k offer in San Francisco and a $90k offer in Austin sound like a $30k difference — but when you factor in housing, taxes, and everyday costs, the Austin offer might actually leave you with more money in your pocket.
salary.city exists to fix this. We combine official Bureau of Labor Statistics (BLS) wage data with real cost-of-living data from the Census Bureau to show you what your salary actually buys in any given city.
What Makes Us Different
Purchasing Power, Not Just Pay
Every metric is strictly adjusted for local cost of living vectors, marginal state tax brackets, and median housing costs.
Verified Data Authority
No crowdsourced surveys. Our data engine strictly utilizes federal endpoints including the BLS OES matrix, HUD Fair Market Rent datasets, and DoL OFLC H-1B certifiable disclosures.
Data Independence
salary.city runs entirely independent data streams. We deliberately ignore subjective "livability" polling metrics to focus purely on objective computational models for total compensation math.
Editorial Team & Data Governance
salary.city is maintained by a coalition of remote data journalists and financial engineers.
Our editorial mandate is simple: to decode the opaque algorithms of corporate compensation. Instead of relying on HR "averages" or self-reported tech salary spreadsheets, our editorial team continuously monitors, scrapes, and restructures unindexed federal payroll records from the BLS, IRS, HUD, and the Department of Labor.
By enforcing rigorous mathematical standardization on these sets, our team provides job seekers with the ultimate leverage to negotiate the real terms of their employment. We do not accept sponsored data placements.
Editorial Guidelines
Our commitment to Data Neutrality means we never alter base wage data sourced directly from the U.S. Federal Government. The permutations generated by our engine only strictly follow mathematical models for progressive tax derivations, HUD FMR housing adjustments, and DoL-verified base salaries. No crowdsourced inputs, no unverified survey manipulations.
Editorial Leadership & Data Verification
Eleanor Vance
Senior Compensation Analyst
Eleanor leads the data verification pipeline at salary.city. With a background in statistical arbitrage and corporate total-rewards analysis, she ensures that every cross-referencing model used to derive purchasing power against federal BLS databases reflects true on-the-ground reality, rigorously suppressing anomalies and tracking hyper-local tax implications.