Report · Culture

Americans can't agree on the best dryer-sheet scent

Reading

More than a quarter of Americans (27%) prefer a dryer sheet scented to match their laundry detergent, the top pick, according to an August 2025 Verasight survey of 1,000 U.S. adults. About one-in-five (21%) prefer an unscented sheet, and a similar share (20%) do not use dryer sheets at all.

Matching other laundry products rounds out the list: 18% prefer a scent that matches their fabric softener and 13% one that matches their scent booster.

Topline

single choice

Topline distribution

Americans can't agree on the best dryer-sheet scent.

What scent do you prefer for your dryer sheet?

  • Matching my laundry detergent 27.2%
  • Unscented dryer sheet 21.4%
  • I do not use dryer sheets 20.2%
  • Matching my fabric softener 18.1%
  • Matching my scent booster 13.1%

2025 · base n 1,000 · +/- 3.2%

A

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2025-08-01 → 2025-08-06
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
A

Source

Citation

Verasight Quirks Omnibus Survey, fielded August 1-6, 2025, N=1,000 United States adults, +/- 3.2%.

https://verasight-quirks-2025.tiiny.co

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. When a wave report is published, its field dates, sample sizes, and module breakdown are listed in that 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
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Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

The canonical report hub is reports.verasight.io; older reports may remain on verified legacy hosts.