Overview
This series examines U.S. nonprofit pay against for-profit and public-sector work, moving from raw averages to worker and job sorting, competing mission and property-rights mechanisms, the Census worker–firm model, industry overlap, and change from 1994–2022. Census evidence makes a selection-only explanation inadequate on average, while differing outcomes, samples, methods, markets, and working-paper status limit any universal salary rule.
Learning outcomes
- A raw nonprofit–for-profit pay gap mixes worker composition, job mix, employer pay, industry context, and time.
- In BLS data, the 1994–2022 raw hourly-wage premium was 5–13%, while the adjusted estimate was a 4–7% penalty.
- Within its worker–firm model, the Census working paper finds worker selection explains little of the average 12% earnings penalty.
- Industry overlap and time change what the estimates mean, so they inform matched comparisons rather than a universal salary rule or fairness judgment.
Keywords
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PlansFAQ
Why can the raw and adjusted U.S. nonprofit pay gaps point in opposite directions?
Because the raw average includes differences in workers, jobs, and hours, while adjustment holds measured characteristics and job context more constant; BLS moves from a 5–13% hourly-wage premium to a 4–7% penalty over 1994–2022.
Does worker selection explain the U.S. nonprofit pay gap?
Not by itself: the Census worker–firm analysis finds selection explains little of the average 12% nonprofit earnings penalty within its model, although its industry results differ. The study is a working paper, not a randomized experiment.
Why does the nonprofit pay gap vary across industries and over time?
Because nonprofit and for-profit overlap, worker mix, competition, funding, service demands, and labor-market conditions differ by industry and period. BLS and Census trends therefore cannot be treated as one fixed sector-wide wage rule.
Can U.S. nonprofit pay-gap estimates tell me what a particular job should pay?
No. They describe defined populations and outcomes; an individual comparison should match the occupation, industry, local labor market, hours, benefits, schedule, advancement, and alternatives instead of relying on a national sector average.