SalaryExplorer

The dataset

Median pay for 824 occupations across 51 U.S. states, next to the same figure adjusted for what things cost in each state. The wage side comes from the Bureau of Labor Statistics and the price side from the Bureau of Economic Analysis. BLS published the two joined once, for May 2014, and has not since. This file is that calculation brought up to May 2025.

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Why it is worth having

The state that pays an occupation most is usually not the state where that pay goes furthest. Ranking by published wage and ranking by adjusted wage produce two different lists, and only the second one answers what a reader is actually asking.

The file

34,616 rows, one per occupation and state, each with both a published wage and an adjusted figure. Cells the survey suppressed are absent rather than empty, as are the few occupations BLS reports hourly only — performers who do not work a full year, for whom no annual wage exists to adjust.

Columns

soc_codeStandard Occupational Classification code
occupationOccupation title as published
state_fipsTwo-digit state FIPS code
stateState name
employmentEstimated jobs in that occupation and state
annual_median_usdMedian annual wage, exactly as published
price_indexState price level, 100 = national average
price_yearReference year of the price index
cost_adjusted_median_usdMedian divided by the price level

The adjustment

cost_adjusted_median_usd = annual_median_usd ÷ (price_index ÷ 100)

One division and nothing more. It answers what this pay buys here, not what the job is worth. It accounts for nothing else — not taxes, not housing tenure, not commuting. The price series runs a year behind the wage survey, so both years are in the file rather than reconciled silently.

Citing this

The file is archived on Zenodo with a DOI, so it can be cited in a paper or a dataset list without linking to a URL that might move. Please cite BLS and BEA as well: the wages and the price levels are theirs, and only the join is not.

DOI: 10.5281/zenodo.22057929

Licence

Both sources are works of the U.S. federal government and are in the public domain under 17 U.S.C. §105. The derived column is released on the same terms: use it for anything, no permission needed. Attribution is appreciated and not required. Neither agency endorses this file.

Full methodology · API

US wage data adjusted for local prices — free CSV | Salary Explorer