Key Takeaways
- 21% of adults in the U.S. said they do not set New Year’s resolutions at all
- In a 2015 study, higher income participants showed greater ability to keep at least some New Year’s resolutions than lower income participants
- 29% of U.S. adults aged 35–44 reported making a New Year’s resolution (2019 survey results)
- 28% of U.S. men reported making a New Year’s resolution (2019 survey results)
- In a 2019 randomized trial of a self-management program for weight control, adherence improved by 15 percentage points with structured goal tracking
- In a meta-analysis, self-monitoring was associated with improved behavior change outcomes (r = 0.24)
- In a review of behavior change techniques, feedback on performance is linked to improved goal achievement compared with no feedback (standardized mean difference about 0.44)
- In the context of New Year’s resolutions, a meta-analysis found a moderate positive relationship between goal specificity and performance (r = 0.25)
- In a meta-analysis, self-efficacy showed a moderate positive association with health behavior change (r ≈ 0.30)
- In a randomized controlled trial, participants who received implementation intentions achieved higher behavioral adherence than controls (OR > 1)
- In a widely cited psychological study, about 8% of people who make a resolution actually succeed
- A 2009 peer-reviewed study reported that goal intention strength predicts follow-through for New Year’s resolutions
- In a 2011 study, participants with concrete plans (implementation intentions) were more likely to follow through with intended behaviors than participants without concrete plans
- $3.0 billion expected U.S. consumer spending on weight-loss products/services during the New Year period in 2024 (seasonal uplift)
- 4.2% growth in U.S. digital health and fitness app revenues in 2023 as consumers adopted structured tracking behaviors commonly used in resolutions
Structured planning, specific goals, and tracking boost follow through, yet most adults never set resolutions.
Related reading
01 · Category
Behavior Prevalence1 stats
Behavior Prevalence Interpretation
02 · Category
Demographics & Differences6 stats
Demographics & Differences Interpretation
03 · Category
Behavioral Implementation6 stats
Behavioral Implementation Interpretation
04 · Category
Top Resolution Motives4 stats
Top Resolution Motives Interpretation
05 · Category
Success & Failure Rates8 stats
Success & Failure Rates Interpretation
More related reading
06 · Category
Economic & Market Impact8 stats
Economic & Market Impact Interpretation
07 · Category
Resolution Prevalence2 stats
Resolution Prevalence Interpretation
08 · Category
Resolution Motivation6 stats
Resolution Motivation Interpretation
09 · Category
Outcomes And Follow Through1 stats
Outcomes And Follow Through Interpretation
10 · Category
Market And Technology1 stats
Market And Technology Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Christopher Morgan. (2026, February 13). New Years Resolutions Statistics. Gitnux. https://gitnux.org/new-years-resolutions-statistics
Christopher Morgan. "New Years Resolutions Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/new-years-resolutions-statistics.
Christopher Morgan. 2026. "New Years Resolutions Statistics." Gitnux. https://gitnux.org/new-years-resolutions-statistics.
Sources & references
43 datasets cited across this report · attribution is report-level
+27 additional datasets cited (not shown individually)

