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How people connect nature with well-being

Overview

The nature questions connect well-being, access, and health advice rather than treating outdoor time as a generic lifestyle preference.


Most adults say nature makes them feel good, and many report nearby green space or a willingness to spend time outside if a health professional recommended it.

Stacked breakdown

93.5% say time in nature makes them feel good.

How well does the following statement describe you: "I feel good when I spend time in nature."

Does not describe me well
6.5%
Sort of describes me
36.6%
Describes me very well
56.9%

2026 · base n 1,000 · +/- 3.2%

Nature is tied to feeling good

A 93.5% share said the statement that they feel good when spending time in nature describes them at least somewhat.

That makes the nature block a health and well-being story, not just a question about recreation.

Stacked breakdown

82.4% would follow a health professional's recommendation to spend time in nature.

If a health professional recommended spending time in nature, would you follow through with spending time outside?

Definitely
51.7%
Probably
30.7%
Maybe
13.9%
No
1.8%
I don't know
1.9%

2026 · base n 1,000 · +/- 3.2%

Additional supporting data from this section.

Topline

73.9% report nearby park or green-space access.

Is there a park or public green space within a 10-minute walk from your home?

  • Yes 73.9%
  • No 23.1%
  • I don't know 3.0%

2026 · base n 1,000 · +/- 3.2%

Health advice could move behavior

An 82.4% share said they would definitely or probably follow through if a health professional recommended spending time in nature.

Another 73.9% said there is a park or public green space within a 10-minute walk from home.

Outdoor time and access add context

Recent outdoor time varies, but 77.1% agreed that access to natural open spaces is part of being an American.

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Population
US adults age 18+
Field dates
2026-05-01 → 2026-05-04
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
1
Sponsor
Verasight
Weight variable
weight
Weighting targets
age, race/ethnicity, sex, income, education, region, metropolitan status

Sources

[6]

Citation

SBM Omnibus Survey #2026-049, fielded May 1-4, 2026, N=1,000 US adults age 18+, +/- 3.2%.

https://reports.verasight.io/reports/sbm-2026#q-1-5

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.