Key Takeaways
- College students 72% make NYR mostly academic per Niche education poll
- Baby boomers 55+ prefer health resolutions at 60% vs younger gens per AARP study
- 35% of high-income earners ($100k+) focus on financial NYR vs 18% low-income per Federal Reserve survey
- Lack of self-confidence cited by 35% as top reason for NYR failure in 2023 YouGov poll of 5,000 adults
- 42% abandon due to unrealistic goals per American Psychological Association 2022 review
- Procrastination causes 28% of failures according to Time Magazine analysis of surveys
- 38% of NYR makers in 2023 vs 45% in 2019 pre-pandemic per longitudinal Gallup tracking
- Fitness NYR peaked at 50% in 2010, down to 38% in 2023 per decade Statista review
- Smoking cessation NYR dropped from 15% in 2000 to 5% in 2023 per CDC timeline
- Only 9% of NYR lead to lasting habit change beyond 2 years per 10-year Scranton study
- 72% of successful NYR maintainers use habit stacking per 5-year BJ Fogg lab data
- Financial NYR yield 22% average savings increase after 3 years if kept per Vanguard tracking
- 45% of Americans list "improve fitness" as top NYR in 2023 Gallup poll of 1,000 adults
- 17% aim to eat healthier, second most common per 2022 Statista survey across 10 countries
- 13% resolve to lose weight annually per Monmouth University Polling Institute
Many people start New Year’s resolutions, but most abandon them early due to unrealistic goals and weak accountability.
Related reading
Demographic Differences
Demographic Differences Interpretation
Failure Reasons
Failure Reasons Interpretation
Historical Trends
Historical Trends Interpretation
More related reading
Long-term Outcomes
Long-term Outcomes Interpretation
Popular Resolutions
Popular Resolutions Interpretation
Success Rates
Success Rates Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Priya Chandrasekaran. (2026, February 13). New Years Resolution Statistics. Gitnux. https://gitnux.org/new-years-resolution-statistics
Priya Chandrasekaran. "New Years Resolution Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/new-years-resolution-statistics.
Priya Chandrasekaran. 2026. "New Years Resolution Statistics." Gitnux. https://gitnux.org/new-years-resolution-statistics.
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