Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race


Provides updated statistics on cyberbullying from a national study on US youth by age, gender, sexual orientation, and race.

In May-June 2021, we collected new data from a nationally representative sample of 2,546 US youth between the ages of 13 and 17 to better understand their positive and negative experiences online. This is the type of research we do on a regular basis, and it helps us to keep our finger on the proverbial pulse of what’s going on in the lives of American teens. Even though Cyberbullying has remained an all-too familiar social problem in 2021, statistics show that many families, communities, schools, and other youth-serving organizations continue to grapple with. Indeed, we saw a 40% increase in its incidence since the start of the COVID-19 pandemic.

Definition and Consequences of Cyberbullying

While we formally define cyberbullying as “willful and repeated harm inflicted through computers, cell phones, and other electronic devices,”1:11 the general idea is that it typically involves hurtful, embarrassing, or threatening posts, comments, or messages on social media, gaming platforms, or via text. Over the last fifteen years, research on teens (typically middle and high schoolers) has shown that those who have been cyberbullied – as well as those who cyberbully others – are more likely to struggle academically, emotionally, psychologically, and even behaviorally.1-7 And importantly, we know that youth who belong to underrepresented groups tend to be involved in cyberbullying more so than their peers.

We recently shared that 23.2% of our national sample in 2021 had been cyberbullied in the last month, while 4.9% had cyberbullied others in the last month. Let’s now examine how differences in demographics affected these rates to identify whether some subpopulations are more susceptible to victimization and offending than others – and, as a consequence, deserve additional attention and support.

Cyberbullying Statistics in 2021 by Age

First, let’s focus on cyberbullying experiences distributed by age. Generally speaking, research has indicated a curvilinear relationship among youth, with the highest participation rates occurring between 12-15 years of age8, 9 (although some research has found that cyberbullying victimization can continue to increase in late adolescence10). In 2021, we found that cyberbullying tends to peak at around 14 and 15 years of age before decreasing through the latter years of adolescence. With social media and gaming platforms technically requiring users to be at least 13 years of age, it is notable that one in four (25.1%) of those very young teenagers have been cyberbullied recently (i.e., in the last 30 days).

Chart: Cyberbullying Victimization By Age

With regard to offending, we again see concerning numbers with the youngest age group studied. Here, the highest percentage (6.2%) of youth who cyberbullied others were 13 years of age. The numbers were relatively similar when considering the other age groups studied, but we do see that a de-escalation of participation occurring in later adolescence. This is contrary to other research which has found that cyberbullying perpetration may increase as the teen years progress.10-12

Chart: Cyberbullying Offending By Age

Cyberbullying in 2021 by Gender

Historically, the relationship between gender and cyberbullying has been mixed. Previous research has largely shown that girls are more likely to be bullied at school13, 14 but is inconclusive differentiating the role of gender when it comes to cyberbullying.1, 15-18 When looking at the two major genders and their experiences being bullied, we found that 23.7% of girls and 21.9% of boys between the ages of 13 and 17 report being cyberbullied while 35.4% of transgender teens reported being cyberbullied. That said, the numbers of respondents in these subgroups were so small (86 youth out of 2,546 in our sample, or 3%) that we are not able to make any generalizable statements about their experience as a whole.

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

When considering how gender is related to offending, 5.6% of boys, 4.5% of girls, and 3.6% of transgender youth had cyberbullied someone else in the last 30 days. that This is in keeping with what has historically been found; a recent meta-analysis of 39 articles and 100 effect sizes found that males were more likely to engage in cyberbullying perpetration than females.19

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

Cyberbullying in 2021 by Sexual Orientation

On a regular basis across numerous studies and years, research is clear that those youth who belong to the sexual minority are more likely to experience bullying and cyberbullying than their heterosexual peers.20-25 This was the case in our 2021 sample as well; the rate of cyberbullying victimization among LGBTQ youth was 50% higher than that of non-LGBTQ youth (31.7% v. 21.8%). Since research shows that cyberbullying most often occurs between peers (usually those from school),17, 26 schools must have policies and programming in place that prohibit bullying based sexual orientation (and, of course, other identity-based characteristics).

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

In terms of offending, about 72% more LGBTQ youth revealed they had cyberbullied others than non-LGBTQ youth (7.4% v. 4.3%). This is not an uncommon finding in the research,27, 28 and some explanations center on the earlier finding that sexual minority groups are more likely to be targeted. That is, if one is targeted with some form of cyberbullying, they may see it as normative or necessary behavior. It also could be a form of retaliation, which is a frequent explanation provided by those who admit to bullying others.29, 30 Overall, however, additional research is necessary to better understand why LGBTQ youth are more likely to participate in cyberbullying.

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

Cyberbullying Statistics in 2021 by Race

Finally, it is important to also determine if those who belonged to certain racial categories were more likely to experience cyberbullying – or were more likely to cyberbullied others. As a reference point, a review of 15 studies involving cyberbullying and race/ethnicity found a wide range of victimization rates (White: 18-30%; Black: 4-17%; Hispanic: 6-13%) and offending (White: 4-42%; Black: 7-11%; Hispanic 16-18%).31 Among 13–17-year-old youth in the United States, we found that those who were White (25.8%) and those were multi-racial (29.1%) were more susceptible to cyberbullying victimization. The current findings align what has been found in a few studies where Hispanic and Black youth have reported less cyberbullying victimization than their peers.13, 31

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

When it comes to offending, those who reported the highest rates of cyberbullying perpetration in the last thirty days classified themselves as “Other” when asked about race (8.3%). Among the remaining categories, those who were multiracial indicated the largest percentage of cyberbullying others (6.2%).

Cyberbullying Statistics 2021 | Age, Gender, Sexual Orientation, and Race

Overall, the way in which certain demographic characteristics differentiate cyberbullying victimization and offending helps us to understand that experience with this problem behavior is not equally distributed across subpopulations of youth. Clearly, some are more susceptible than others and, as a consequence, some require additional supports to preempt their participation in cyberbullying either as targets or aggressors. This might come through more attention, monitoring, dialogue, educational initiatives, mental health provisions, and general awareness building. These findings spotlight the reality that cyberbullying remains a significant social and behavioral issue among teenagers in the United States in 2021, and that we must continue to attend to the vulnerabilities of the youth we serve.

Image source (Pexels, CC0 license)


1.            Hinduja S, Patchin JW. Bullying Beyond the Schoolyard: Preventing and Responding to Cyberbullying. 2nd ed. Sage Publications; 2015.

2.            Hinduja S, Patchin JW. Connecting Adolescent Suicide to the Severity of Bullying and Cyberbullying. Journal of School Violence. 2018:1-14.

3.            Patchin JW, Hinduja S. Bullying Today: Bullet Points and Best Practices. Sage Publications; 2016.

4.            Patchin JW, Hinduja S. Traditional and Nontraditional Bullying among Youth: A Test of General Strain Theory. Youth and Society. 2011;43(2):727-751.

5.            Hinduja S, Patchin JW. Offline consequences of online victimization: School violence and delinquency. Journal of school violence. 2007;6(3):89-112.

6.            Kwan I, Dickson K, Richardson M, et al. Cyberbullying and children and young people’s mental health: a systematic map of systematic reviews. Cyberpsychology, Behavior, and Social Networking. 2020;23(2):72-82.

7.            Hamm MP, Newton AS, Chisholm A, et al. Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. JAMA pediatrics. 2015;169(8):770-777.

8.            Kowalski RM, Giumetti GW, Schroeder AN, Lattanner MR. Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological bulletin. 2014;140(4):1073.

9.            Tokunaga RS. Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in human behavior. 2010;26(3):277-287.

10.          Pichel R, Foody M, O’Higgins Norman J, Feijóo S, Varela J, Rial A. Bullying, Cyberbullying and the Overlap: What Does Age Have to Do with It? Sustainability. 2021;13(15):8527.

11.          Ryoo JH, Wang C, Swearer SM. Examination of the change in latent statuses in bullying behaviors across time. School psychology quarterly. 2015;30(1):105.

12.          Garmendia Larrañaga M. Bullying and cyberbullying: Victimisation, harassment, and harm. The need to intervene in the educational centre. Revista Española de Pedagogía. 2019;77(273):295-312.

13.          Pontes NM, Ayres CG, Lewandowski C, Pontes MC. Trends in bullying victimization by gender among US high school students. Research in nursing & health. 2018;41(3):243-251.

14.          Salmon S, Turner S, Taillieu T, Fortier J, Afifi TO. Bullying victimization experiences among middle and high school adolescents: Traditional bullying, discriminatory harassment, and cybervictimization. Journal of Adolescence. 2018;63:29-40.

15.          Floros GD, Siomos KE, Fisoun V, Dafouli E, Geroukalis D. Adolescent online cyberbullying in Greece: The impact of parental online security practices, bonding, and online impulsiveness. Journal of school health. 2013;83(6):445-453.

16.          Schneider SK, O’Donnell L, Stueve A, Coulter RW. Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American journal of public health. 2012;102(1):171-177.

17.          Kowalski RM, Limber SP. Electronic Bullying Among Middle School Students. Journal of Adolescent Health. 2007;41:S22-S30.

18.          Patchin JW, Hinduja S. 2019 Cyberbullying Data. 2019. July 9, 2019.

19.          Sun S, Fan X, Du J. Cyberbullying perpetration: a meta-analysis of gender differences. International Journal of Internet Science. 2016;11(1)

20.          Black WW, Fedewa AL, Gonzalez KA. Effects of “Safe School” programs and policies on the social climate for sexual-minority youth: A review of the literature. Journal of LGBT youth. 2012;9(4):321-339.

21.          Zych I, Ortega-Ruiz R, Del Rey R. Systematic review of theoretical studies on bullying and cyberbullying: Facts, knowledge, prevention, and intervention. Aggression and violent behavior. 2015;23:1-21.

22.          Mennicke A, Geiger E, Brewster M. Interpersonal violence prevention considerations for sexual minority college students: Lower campus connection, worse perceptions of institutional support, and more accurate understandings of sexual consent. Journal of family violence. 2020;35(6):589-601.

23.          Cénat JM, Blais M, Hébert M, Lavoie F, Guerrier M. Correlates of bullying in Quebec high school students: The vulnerability of sexual-minority youth. Journal of affective disorders. 2015;183:315-321.

24.          Abreu RL, Kenny MC. Cyberbullying and LGBTQ youth: A systematic literature review and recommendations for prevention and intervention. Journal of Child & Adolescent Trauma. 2018;11(1):81-97.

25.          Hinduja S, Patchin JW. Bullying, Cyberbullying, and LGBTQ Students. 2020.

26.          Kowalski R, Whittaker E. Cyberbullying via social media. Journal of School Violence. 2014;14:11-29.

27.          Duarte C, Pittman SK, Thorsen MM, Cunningham RM, Ranney ML. Correlation of minority status, cyberbullying, and mental health: A cross-sectional study of 1031 adolescents. Journal of Child & Adolescent Trauma. 2018;11(1):39-48.

28.          Llorent VJ, Ortega-Ruiz R, Zych I. Bullying and cyberbullying in minorities: Are they more vulnerable than the majority group? Frontiers in psychology. 2016;7:1507.

29.          Camodeca M, Goossens FA. Aggression, social cognitions, anger and sadness in bullies and their victims. Journal of Child Psychology and Psychiatry. 2004;46:186-197.

30.          Gerlsma C, Lugtmeyer V. Offense type as determinant of revenge and forgiveness after victimization: Adolescents’ responses to injustice and aggression. Journal of School Violence. 2018;17(1):16-27.

31.          Edwards L, Kontostathis AE, Fisher C. Cyberbullying, race/ethnicity and mental health outcomes: A review of the literature. Media and Communication. 2016;4(3):71-78.


Leave a Reply

Your email address will not be published. Required fields are marked *