Report · Money and Finance

Many say this salary would be unfair underpayment for their job

Reading

In a Verasight survey of 1,000 U.S. adults conducted Aug. 20 to 25, 2025, many say this salary would be unfair underpayment for their job; the relevant share was 24%.

The next-largest shares were 22% for extremely unfair underpayment and 18% for fair pay.

Topline

single choice

Topline distribution

Many say this salary would be unfair underpayment for their job (24%).

If you were paid each of the following for your current job, would you consider that to be: - $45,000

  • I am not employed 24.0%
  • Extremely unfair underpayment 22.0%
  • Fair pay 17.8%
  • Very unfair underpayment 9.6%
  • Somewhat unfair underpayment 9.5%
  • Slightly unfair underpayment 9.1%
  • Slightly unfair overpayment 3.8%
  • Somewhat unfair overpayment 2.0%
  • Extremely unfair overpayment 1.2%
  • Very unfair overpayment 1.1%

2025 · base n 1,000 · +/- 3.1%

ASA Omnibus Survey

View source

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2025-08-20 → 2025-08-25
Base (unweighted)
1,000
Margin of error
+/- 3.1%
Module
ASA Omnibus Survey

Source

Citation

ASA Omnibus Survey, fielded August 20-25, 2025, N=1,000 United States adults, +/- 3.1%.

https://reports.verasight.io/reports/asa-omnibus-survey#if-you-were-paid-each-of-the-following-for-your-current-job-would-you-consider-that-to-be-45-000

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.