What are the odds of a teenager being cyberbullied?
Evidence quality 4.88/5
Eight-dimension review score against the quality rubric . Each dimension scored 1–5.
- D1 Source grounding
- 5/5
- D2 Source authority
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- D3 Arithmetic
- 5/5
- D4 Uncertainty
- 5/5
- D5 Scope
- 5/5
- D6 Prose
- 5/5
- D7 Perception honesty
- 4/5
- D8 Caveat completeness
- 5/5
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≈ As likely as
Perceived
Parents tend to worry about cyberbullying the way they worry about stranger abduction: as a dramatic, identifiable event that either happens or does not. The mental model is a sustained harassment campaign — viral humiliation, coordinated pile-ons, sextortion — and the assumed prevalence is "rare but devastating." Public discourse reinforces this framing through high-profile cases that make the news precisely because they ended in suicide or school withdrawal. The result is a perception gap that runs in the opposite direction from most entries on this site: parents underestimate how common garden-variety cyberbullying is because they are calibrated to the extreme tail of the distribution. When Pew asked teens directly in 2022, 46% reported experiencing at least one form of online harassment, a number that surprises most adults.
Rough estimate: Parents tend to think of cyberbullying as uncommon but severe; actual prevalence is common and gradient
Source: editorial intuition, not polled
Actual
~16 in 100 per year (high school students)
US high school students (grades 9-12), CDC YRBS 2023
Show derivation
The CDC YRBS 2023 reports 16% of US high school students were electronically bullied in the preceding 12 months (N ≈ 20,100). Treating each school year as an independent trial over a 4-year high school career: 1 - (1 - 0.16)^4 ≈ 0.50. This is conservative in two ways: it uses the CDC's narrow "electronically bullied" wording rather than broader definitions that capture more behaviors (Pew 2022 found 46% of teens reporting any form of online harassment ever), and it treats years as independent when in reality victimization in one year predicts victimization the next. Over the full adolescent window (ages 13-18, 6 years): 1 - (1 - 0.16)^6 ≈ 0.65. The central estimate uses the 4-year high school career to match the YRBS sampling frame.
Caveats: The headline number depends entirely on what counts as "cyberbullying." The CDC …
The headline number depends entirely on what counts as "cyberbullying." The CDC YRBS uses a single item asking whether the student was "electronically bullied" in the past 12 months, which relies on the respondent's own threshold for that term. Pew's six-behavior checklist captures a wider range of experiences and produces a lifetime prevalence nearly 3x higher (46% vs 16%). The Cyberbullying Research Center, using a 30-day recall window, found 26.5% in 2023. These are not contradictory numbers — they are different instruments measuring different slices of a continuous distribution of online negative experiences, from a single mean comment to sustained harassment campaigns. The compounding assumption (independent annual trials) is a simplification. Cyberbullying victimization is correlated year-to-year: students who are bullied in one year are more likely to be bullied the next. This means the true 4-year cumulative probability is likely somewhat lower than the independence-based 50% for the general population, but somewhat higher for those who are victimized early. The uncertainty band (35-65%) reflects this structural ambiguity plus the definitional range. The comparison anchors use lifetime probability compounded the same way for consistency, but these are teen-specific subgroup probabilities, not standard US-adult-lifetime figures. They are not directly comparable to entries elsewhere on this site that use a 59-year adult horizon. The headline prevalence predates a fast-moving AI-enabled threat that the standard "electronically bullied" survey items do not capture. NCMEC reported a 1,325% rise in CyberTipline reports involving generative AI in 2024 and now receives nearly 100 financial-sextortion reports per day; it is aware of at least 36 teenage boys who have died by suicide after being victimized by sextortion since 2021. The Internet Watch Foundation assessed 8,029 realistic AI-generated child-sexual-abuse images and videos in 2025 and warns that the tools have "significantly lower[ed] barriers to entry," making fabricated nude images trivial to produce. This dimension skews opposite to the cyberbullying base rate — financial sextortion predominantly targets adolescent boys, who are the lower-victimization group on the general cyberbullying axis. Because these are absolute report counts rather than per-teen rates, they do not change the headline probability, but they mark a severity tail that is growing quickly and is poorly measured by the existing prevalence instruments.
How the risk varies
The headline figure averages across very different situations. Here’s how the probability varies by scenario or context:
1 in 2.0 · 50%
baseline: 16% annual rate compounded over 4 years
1 in 1.6 · 61%
20.8% annual rate (YRBS 2023); 1 - (1 - 0.208)^4 ≈ 0.61
1 in 2.5 · 40%
11.8% annual rate (YRBS 2023); 1 - (1 - 0.118)^4 ≈ 0.40
1 in 1.5 · 68%
25% annual rate (YRBS 2023); 1 - (1 - 0.25)^4 ≈ 0.68
Bar length and shade rank these scenarios against each other, not against other risks. The exact odds are shown beside each.
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Decisions this risk informs
Choices that turn on this risk — how people weigh the trade-off.
Pick challenger
The definition problem is the entry point for any honest conversation about cyberbullying prevalence. The CDC’s Youth Risk Behavior Survey asks a single question — were you “electronically bullied” in the past year? — and 16% of US high school students said yes in 2023. Pew Research Center asked about six specific behaviors (name-calling, rumor-spreading, unsolicited explicit images, surveillance, threats, non-consensual image sharing) and found 46% of teens had experienced at least one, ever. The Cyberbullying Research Center, using a 30-day recall, landed at 26.5%. None of these numbers are wrong. They measure different behavioral thresholds across different time windows, and the spread between them — from 1 in 6 per year to nearly 1 in 2 lifetime — is the definitional gradient that makes “cyberbullying” a slippery denominator. A mean Instagram comment and a months-long coordinated harassment campaign both count in the broadest definitions; only the latter matches the scenario most parents picture.
The perception gap runs in an unusual direction for this site. Most parents think of cyberbullying the way they think of stranger abduction: rare, dramatic, and identifiable. The cases that make the news are the ones that end in suicide or school withdrawal, and those outcomes are genuinely rare — they sit at the extreme tail of a distribution whose body is much more mundane. When the annual past-year prevalence is 16% and the 4-year compounded rate approaches 1 in 2, cyberbullying is not an unlikely event that might befall an unlucky child. It is a routine feature of adolescence that most teenagers encounter in some form. The gender gap is substantial: girls report cyberbullying at nearly twice the rate of boys (21% vs 12% annually), and LGBTQ+ students at 25%. These subgroup rates push the 4-year compounded probability above 60%.
What the prevalence figure does not convey is severity. The mental health literature links cyberbullying victimization to elevated odds of depression, anxiety, self-harm (OR 2.35), and suicidal behavior (OR 2.10) — but those odds ratios describe the average effect across all victimization, most of which is low-intensity and transient. The tail cases — sustained campaigns, sextortion, doxxing — carry disproportionate harm but are a small fraction of the total. Modecki et al.’s 2014 meta-analysis found cyberbullying prevalence remarkably stable at 15% across 80 studies spanning multiple countries and years, a figure the 2023 YRBS essentially replicated a decade later. The platform landscape changed entirely in that interval; the prevalence barely moved. That stability suggests cyberbullying tracks adolescent social dynamics more than any particular technology.
Related tidbits
About 50% of US teens experience cyberbullying over high school. Combined with in-person bullying (65% over grades 6-12), harassment is now the norm rather than the exception for adolescents.
Half of all high-schoolers experience cyberbullying. Stranger abduction of children accounts for roughly 115 cases per year in the US. Parents fear the rarest threat and overlook the most common one.
Claim ledger
Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.
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[1] CDC MMWR Supplements, Vol. 73, No. 4 (2024) — Frequent Social Media Use and Experiences with Bullying Victimization, Persistent Feelings of Sadness or Hopelessness, and Suicide Risk Among High School Students — Youth Risk Behavior Survey, United States, 2023
Frequent Social Media Use and Experiences with Bullying Victimization, Persistent Feelings of Sadness or Hopelessness, and Suicide Risk Among High School Students — Youth Risk Behavior Survey, United States, 2023- Statistic
In 2023, 16.0% of US high school students reported being electronically bullied during the 12 months before the survey; 20.8% of female students vs 11.8% of male students; 25% of LGBTQ+ students- Excerpt
“"In 2023, 16% of high school students were electronically bullied." ”
- Source data from
- 2024-10-24
- Accessed
- 2026-04-19 · archived copy
- Calculation
- The YRBS is a nationally representative, school-based survey conducted biennially by the CDC since 1991. The 2023 cycle surveyed approximately 20,100 students in grades 9-12. The electronic bullying question asks whether the student was "electronically bullied" (counting being bullied through texting, Instagram, Facebook, or other social media) during the 12 months before the survey. The 16% figure is the weighted national prevalence. This is the primary anchor for the native probability. Annual rate of 0.16 compounded over 4 years of high school: 1 - (1 - 0.16)^4 ≈ 0.50. The gender split (female 20.8%, male 11.8%) and LGBTQ+ rate (25%) are used for the regional breakdown and personal factor multipliers.
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[2] Pew Research Center — Teens and Cyberbullying 2022
Teens and Cyberbullying 2022- Statistic
46% of US teens ages 13-17 reported experiencing at least one of six types of cyberbullying behavior; 28% experienced multiple types; girls (49%) more than boys (43%); older girls 15-17 at 54%- Excerpt
“"Roughly half of U.S. teens (46%) report ever experiencing at least one of six types of cyberbullying behaviors asked about in a Center survey." ”
- Source data from
- 2022-12-15
- Accessed
- 2026-04-19 · archived copy
- Calculation
- Pew's 2022 survey used a broader definition than the YRBS single-item question, asking about six specific behaviors: offensive name-calling (32%), spreading of false rumors (22%), receiving explicit images they did not ask for (17%), constant asking of where they are or what they are doing by someone other than a parent (15%), physical threats (10%), and having explicit images of them shared without consent (7%). The "any of six" figure of 46% is a lifetime prevalence for ages 13-17, not a past-year rate, which explains why it is much higher than the YRBS's 16% past-year figure. The two numbers are not contradictory — they measure different time windows and different behavioral thresholds. The Pew figure informs the upper end of the uncertainty band.
- Independence
- Independently collected via Pew's American Trends Panel (online probability panel of US adults + teen supplement). Entirely different sampling frame, methodology, and behavioral definitions from the CDC YRBS school-based survey.
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[3] Journal of Adolescent Health (Modecki, Minchin, Harbaugh, Guerra, Runions 2014) — Bullying Prevalence Across Contexts: A Meta-analysis Measuring Cyber and Traditional Bullying
Bullying Prevalence Across Contexts: A Meta-analysis Measuring Cyber and Traditional Bullying- Statistic
Meta-analysis of 80 studies found mean cyberbullying prevalence of 15% among adolescents, compared to 36% for traditional (in-person) bullying- Excerpt
“"Mean prevalence rates across contexts were 36% for traditional bullying and 15% for cyberbullying." ”
- Source data from
- 2014-11-01
- Accessed
- 2026-04-19 · archived copy
- Calculation
- Modecki et al. 2014 is the most-cited meta-analysis on comparative bullying prevalence. The 15% mean cyberbullying prevalence across 80 studies aligns closely with the CDC YRBS 2023 figure of 16%, providing cross-validation that the annual prevalence has been remarkably stable at roughly 15-16% for over a decade despite large changes in platform use patterns. The meta-analysis included studies with heterogeneous definitions, timeframes, and populations, but the central tendency converges on this range. The finding that traditional bullying (36%) is roughly 2.4x more prevalent than cyberbullying is used for the comparison anchor.
- Independence
- Meta-analysis synthesising 80 independent studies from multiple countries. Does not include the 2023 YRBS data (predates it by nearly a decade).
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[4] Journal of Medical Internet Research (John et al. 2018) — Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review
Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review- Statistic
Cyberbullying victims were 2.35x as likely to self-harm (OR 2.35, 95% CI 1.65-3.34), 2.10x as likely to exhibit suicidal behaviors (OR 2.10, 95% CI 1.73-2.55), and 2.57x as likely to attempt suicide (OR 2.57, 95% CI 1.69-3.90) compared to non-victims- Excerpt
“"Children and young people who are victims of cyberbullying are at a greater risk of both self-harm and suicidal behaviors." ”
- Source data from
- 2018-04-19
- Accessed
- 2026-04-19 · archived copy
- Calculation
- This systematic review is included to document the mental health consequences of cyberbullying, not to derive the prevalence figure. The odds ratios (self-harm OR 2.35, suicidal behavior OR 2.10, suicide attempt OR 2.57) establish that cyberbullying victimization is a clinically meaningful risk factor for serious downstream harm, which supports the outcome_severity classification of moderate_harm (the cyberbullying itself is moderate; the tail-risk sequelae are serious). These ORs do not enter the native-to-normalized calculation.
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[5] National Center for Missing & Exploited Children (NCMEC) — NCMEC Releases New Data: 2024 in Numbers
NCMEC Releases New Data: 2024 in Numbers- Statistic
In 2024 NCMEC saw a 1,325% increase in CyberTipline reports involving Generative AI Technology (reports rose from ~4,700 in 2023 to ~67,000 in 2024); NCMEC received nearly 100 reports of financial sextortion per day; since 2021 at least 36 teenage boys have died by suicide after being victimized by sextortion- Excerpt
“"In 2024 alone, NCMEC saw a 1,325% increase in CyberTipline reports that involved Generative AI Technology (GAI). Over the last year, NCMEC received nearly 100 reports of financial sextortion per day. Since 2021, NCMEC is aware of at least 36 teenage boys who have taken their lives because they were victimized by sextortion." ”
- Source data from
- 2025-03-17
- Accessed
- 2026-06-14 · archived copy
- Calculation
- Included to document an emerging severity/threat dimension — AI-generated abuse imagery and financially-motivated sextortion — that postdates the prevalence anchors above. NCMEC publishes absolute CyberTipline report counts and year-over-year percentage changes, not a per-teen relative risk. There is therefore no arithmetic path from these figures to a multiplier on the 16% YRBS cyberbullying base rate (the report-count denominator and reporting fraction are unknown), so this source does NOT enter the native-to-normalized calculation and adds no personal_factor_multiplier. It is corroborated by the Internet Watch Foundation, which assessed 8,029 AI-generated images and videos showing realistic child sexual abuse in 2025 (including 3,443 AI videos, a 26,385% increase over the 13 found in 2024) and noted that single applications "can now generate abusive imagery with minimal effort, removing the need for technical expertise and significantly lowering barriers to entry" (IWF, AI CSAM Report, 2026). Unlike the female/LGBTQ+ skew of the underlying cyberbullying base, financial sextortion predominantly targets adolescent boys.
- Independence
- NCMEC's CyberTipline is the US congressionally-authorised clearinghouse for online child-exploitation reports — an entirely separate data stream (industry + public reports of exploitation) from the school-based YRBS and the Pew panel survey used for the prevalence anchors.