High school bullying is not just a rough patch. Across observational evidence, bullying victimization is linked to a 2.5-fold increase in the odds of suicide attempts, and even when the school day is going “normally,” researchers still see measurable hits to mental health and academics. At the same time, several tested programs cut bullying by 20 to 70 percent, and policy and reporting data show how widely the issue extends beyond one classroom.
Key Takeaways
- Bullying victimization was associated with a 2.5-fold increase in odds of suicide attempts in a meta-analysis of observational studies.
- In a systematic review, traditional bullying and cyberbullying victimization were each associated with higher odds of suicidal ideation and behavior.
- A 2019 systematic review found bullying victimization had a significant negative association with academic achievement (standardized mean difference = -0.16).
- A randomized trial of a school-based anti-bullying program reduced bullying perpetration by 25% relative to control in post-intervention results.
- A meta-analysis of school-based interventions reported an overall reduction in bullying victimization (odds ratio about 0.72).
- A trial of the KiVa anti-bullying program reported a 29% reduction in self-reported bullying in participating schools compared to controls.
- A 2017 analysis of U.S. state anti-bullying laws found that 49 states required districts to implement bullying prevention policies.
- A 2020 review reported that most U.S. states’ anti-bullying laws define bullying to include repeated behavior intended to harm, and many require protections for cyberbullying.
- Title IX regulations require schools to respond to harassment based on sex, including bullying when it meets regulatory standards for severity, persistence, and denial of access to education.
- A 2019 U.S. survey found 46% of teachers reported noticing bullying at least weekly.
- Bullying-related school absenteeism has measurable impacts; one report estimated that bullying can contribute to missed school days and lost learning time.
- A 2017 OECD report estimated that bullying and victimization have long-term social and economic costs through impacts on mental health and educational attainment.
Bullying is linked to higher mental health harm and lower school success, but multi strategy prevention programs reduce it.
Related reading
Outcomes & Impacts
1Bullying victimization was associated with a 2.5-fold increase in odds of suicide attempts in a meta-analysis of observational studies.[1]
Single source
2In a systematic review, traditional bullying and cyberbullying victimization were each associated with higher odds of suicidal ideation and behavior.[2]
Verified
3A 2019 systematic review found bullying victimization had a significant negative association with academic achievement (standardized mean difference = -0.16).[3]
Verified
4A meta-analysis reported bullying involvement increased the risk of depression symptoms with an overall effect size (Hedges’ g) of 0.41.[4]
Verified
5A meta-analysis estimated that peer victimization (including bullying) is associated with greater internalizing problems in adolescence (pooled effect size around r≈-0.20).[5]
Verified
6A meta-analysis found that bullying victimization increased the risk of anxiety symptoms with an effect size (Hedges’ g) of about 0.30.[6]
Directional
Outcomes & Impacts Interpretation
Across high school outcomes, bullying victimization is linked to serious mental health harms and school challenges, including a 2.5-fold increase in odds of suicide attempts and a negative academic association (SMD = -0.16), with depression symptoms rising by Hedges’ g = 0.41 and anxiety symptoms by about g = 0.30.
More related reading
Interventions & Mitigation
1A randomized trial of a school-based anti-bullying program reduced bullying perpetration by 25% relative to control in post-intervention results.[7]
Verified
2A meta-analysis of school-based interventions reported an overall reduction in bullying victimization (odds ratio about 0.72).[8]
Verified
3A trial of the KiVa anti-bullying program reported a 29% reduction in self-reported bullying in participating schools compared to controls.[9]
Single source
4An evaluation of the Olweus Bullying Prevention Program found reductions of 20–70% in bullying and related problems across participating schools in multiple assessments.[10]
Directional
5In a randomized controlled trial, students in the FRIENDS program had a reduction in bullying behavior (effect reported in the study as statistically significant at follow-up).[11]
Verified
6In a cluster randomized trial, the RAP intervention reduced bullying behavior by 34% in intervention schools compared to controls at follow-up.[12]
Verified
7An umbrella review reported that multi-component anti-bullying interventions combining classroom, school, and individual strategies generally show larger effects than single-component approaches.[13]
Verified
Interventions & Mitigation Interpretation
School-based interventions aimed at mitigation consistently show meaningful bullying reductions, with effects ranging from a 20 to 70% drop in the Olweus program to a 34% decrease with RAP and about a 25 to 29% reduction for other trials, and meta and umbrella reviews indicate multi-component approaches generally outperform single strategies.
More related reading
Implementation & Policy
1A 2017 analysis of U.S. state anti-bullying laws found that 49 states required districts to implement bullying prevention policies.[14]
Directional
2A 2020 review reported that most U.S. states’ anti-bullying laws define bullying to include repeated behavior intended to harm, and many require protections for cyberbullying.[15]
Verified
3Title IX regulations require schools to respond to harassment based on sex, including bullying when it meets regulatory standards for severity, persistence, and denial of access to education.[16]
Verified
4In CRDC 2017–18, 1.4 million students were included in restraint and seclusion reporting categories across reporting schools, illustrating the broader behavioral discipline reporting context where bullying can be relevant.[17]
Verified
Implementation & Policy Interpretation
In the Implementation & Policy space, nearly all U.S. states backed bullying prevention by requiring district policies in 2017, and by 2020 most laws were explicit about repeated harm and cyberbullying protections, with Title IX also mandating responses to sex-based harassment when it denies access to education.
More related reading
Economics & Costs
1A 2019 U.S. survey found 46% of teachers reported noticing bullying at least weekly.[18]
Single source
2Bullying-related school absenteeism has measurable impacts; one report estimated that bullying can contribute to missed school days and lost learning time.[19]
Verified
3A 2017 OECD report estimated that bullying and victimization have long-term social and economic costs through impacts on mental health and educational attainment.[20]
Directional
4In a costing study, anti-bullying programs were estimated to be cost-effective by reducing victimization-related adverse outcomes relative to program costs (reported in the study’s economic analysis).[21]
Directional
5A peer-reviewed economic analysis reported that costs attributable to bullying victimization include health care utilization and productivity losses (with quantified estimates in the study).[22]
Verified
6In a systematic review of economic evaluations, 12 studies assessed costs and cost-effectiveness of bullying interventions.[23]
Verified
7A meta-analysis on health outcomes linked bullying to increased health service use, which translates into measurable economic burden (effect sizes reported in the paper).[24]
Verified
8A 2015 study estimated that bullying-related impacts could affect lifetime earnings via educational and mental health pathways (reported quantified model outputs).[25]
Verified
Economics & Costs Interpretation
Across economics and costs, evidence suggests bullying is not just a school problem but a financial one, with 46% of teachers noticing it at least weekly and OECD estimates pointing to long term social and economic losses, while economic evaluations also find anti bullying programs can be cost effective by reducing the victimization outcomes that drive measurable healthcare and productivity costs.
More related reading
How We Rate Confidence
Models
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.
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
Directional
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
Verified
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
Models
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.
APA
Helena Kowalczyk. (2026, February 13). High School Bullying Statistics. Gitnux. https://gitnux.org/high-school-bullying-statistics
MLA
Helena Kowalczyk. "High School Bullying Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/high-school-bullying-statistics.
Chicago
Helena Kowalczyk. 2026. "High School Bullying Statistics." Gitnux. https://gitnux.org/high-school-bullying-statistics.
References
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- 3sciencedirect.com/science/article/pii/S0190740919301974
- 7sciencedirect.com/science/article/pii/S0190740916300906
- 9sciencedirect.com/science/article/pii/S0190740912000325
- 8psycnet.apa.org/record/2017-45356-001
- 10eric.ed.gov/?id=ED478481
- 11journals.sagepub.com/doi/10.1177/1524838011408748
- 12tandfonline.com/doi/abs/10.1080/17405620903397577
- 14ncbi.nlm.nih.gov/pmc/articles/PMC5435462/
- 15ncbi.nlm.nih.gov/pmc/articles/PMC7462844/
- 22ncbi.nlm.nih.gov/pmc/articles/PMC6357087/
- 25ncbi.nlm.nih.gov/pmc/articles/PMC4456347/
- 16ecfr.gov/current/title-34/part-106/section-106.44
- 17ocrdata.ed.gov/assets/downloads/CRDC_2017-2018_Report_to_the_Public.pdf
- 18nea.org/sites/default/files/2020-01/Bullying-and-Cyberbullying-Survey.pdf
- 19unesdoc.unesco.org/ark:/48223/pf0000366498
- 20oecd.org/education/school/Education-at-a-Glance-2017-EAG2017-education-at-a-glance.pdf