Porn Addiction Statistics: Demographics, Consumption Patterns, and Consequences

Porn addiction statistics describe the prevalence, demographics, consumption patterns, and documented consequences of compulsive pornography use. Between 3% and 11% of American men report problematic or compulsive pornography use. Around 3% of American women report the same pattern. International research places global at-risk prevalence between 3.2% and 16.6% depending on the screening tool used. Approximately 8% of U.S. adult internet users self-report feeling addicted to pornography. The average age of first pornography exposure is around 12 for boys and 14 for girls. 57% of Americans ages 18–24 seek pornography at least monthly.

Porn addiction is also known as compulsive sexual behaviour disorder (CSBD) or problematic pornography use (PPU). It is the pattern of losing control over pornography consumption despite negative consequences. The World Health Organization added CSBD to the ICD-11 in May 2019, and the classification came into effect on January 1, 2022. The ICD-11 guideline requires the pattern to last at least 6 months.

Self-report data tends to underestimate real prevalence because of secrecy and stigma of the porn users. Moral disapproval of pornography usually causes users to label themselves addicted at low consumption levels. The clinical threshold of loss of control, persistent pattern, and adverse life consequences remains the most accurate measure. The 10 key porn addiction statistics at a glance are U.S. prevalence, global at-risk population, monthly consumption, daily consumption, age of first exposure, gender prevalence gap, the cybersex compulsive cutoff, leading platform scale, sexual dysfunction correlation, and divorce probability. These 10 porn addiction statistics are listed below.

• Prevalence in the U.S. — Between 3% and 11% of American men and approximately 3% of American women report problematic or compulsive pornography use (Grubbs, Kraus & Perry 2019, Journal of Behavioral Addictions).

• Global at-risk population — International research estimates that 3.2% to 16.6% of adults are at risk of problematic pornography use, depending on the screening tool used (Bőthe et al. 2024, Addiction).

• Monthly consumption by age — 57% of Americans ages 18–24 and 29% of adults over 25 seek pornography at least monthly (Barna Group, The Porn Phenomenon, 2016).

• Daily consumption — Between 6% and 12% of Americans ages 13 and older view pornography daily (Barna 2016).

• Age of first exposure — The average age of first pornography exposure is approximately 12 for all children. 93% of teenage boys and 62% of teenage girls have been exposed to internet pornography (Common Sense Media 2023; Sabina, Wolak & Finkelhor 2008).

• Gender prevalence gap — Male prevalence is three to four times higher than female prevalence across developed-country samples.

• Cybersex compulsive cutoff — Cooper, Delmonico & Burg (2000) classified users who exceeded 11 hours per week of online sexual activity as "cybersex compulsive."

• Leading platform scale — Pornhub's last self-reported annual total was 42 billion visits (2019 Year in Review). Similarweb estimates approximately 928 million unique monthly visitors in late 2024.

• Sexual dysfunction correlation — Erectile dysfunction in young men has risen from a pre-internet baseline of 2%–5% (Laumann et al. 1999, JAMA; Prins et al. 2002) to roughly 14%–45% across modern samples of young men.

• Divorce probability — Perry & Schleifer (2017, Journal of Sex Research) found that beginning pornography use was linked to a rise in divorce probability in the next 2-year General Social Survey wave. The rise was from approximately 6% to 11% for men and from 6% to 16% for women.

How Many People Are Addicted to Porn?

Between 3% and 11% of American adults report problematic or compulsive pornography use. Clinically validated screening tools provide lower figures (roughly 3% to 6%). Self-perception surveys produce higher figures of up to 11% for men. The range reflects two different measurement approaches, not two different populations.

Grubbs, Kraus & Perry (2019), published in the Journal of Behavioral Addictions, surveyed a nationally representative U.S. sample of 2,075 adults. The study found that approximately 11% of men and 3% of women agreed with the statement that they felt addicted to pornography. Approximately 8% of all U.S. adult internet users endorsed at least some level of self-perceived addiction. Kraus et al. (2018, World Psychiatry) and the broader CSBD review literature place the adult prevalence of clinically meaningful compulsive sexual behavior at roughly 3% to 6%. Pornography use is the most common presentation. Bőthe et al. (2024, Addiction) used the International Sex Survey across 42 countries with 82,243 respondents. The study found between 3.2% and 16.6% of adults at risk for problematic pornography use. This range reflects different validated instruments applied to the same sample. The Problematic Pornography Consumption Scale produced the 3.2% lower bound. The Brief Pornography Screen produced the 16.6% upper bound.

The gap between the 3% clinical CSBD figure and the 11% self-perceived addiction figure reflects the difference between validated clinical screens and self-perception surveys. Validated clinical screens require specific behavioral criteria. Self-perception surveys capture moral incongruence and subjective distress. Cooper, Delmonico & Burg (2000) separately classified users as "cybersex compulsive" if they scored high on the Kalichman Sexual Compulsivity Scale and spent at least 11 hours per week in online sexual activity. This is an empirical survey cutoff rather than a formal diagnostic criterion.

Applied to approximately 260 million U.S. adults, the Grubbs 8% self-report figure translates to roughly 21 million Americans who feel addicted to pornography. The 3% clinical estimate represents approximately 7.8 million adults. Self-perception figures should always be presented alongside validated clinical estimates. Grubbs & Perry (2019) found that moral disapproval of pornography independently predicts self-perceived addiction regardless of actual use levels. Detailed criteria are covered in the signs of porn addiction.

Porn Addiction Statistics by Gender

Porn addiction statistics by gender show that approximately 11% of American men and 3% of American women self-report pornography addiction (Grubbs, Kraus & Perry 2019, Journal of Behavioral Addictions). 38% of Pornhub's 2024 visitors were female (Pornhub Insights 2024). Male prevalence is three to four times higher than female prevalence across developed-country samples.

The male-female prevalence ratio is approximately 3.7 to 1 in the Grubbs 2019 nationally representative sample. The ratio is approximately 3.2 to 1 in the Kraus veterans cohort. The gap widens in treatment-seeking populations. Historical clinical samples report male shares of 80% to 95% of clients presenting for pornography-related concerns.

Female consumption of pornography is rising. Pornhub Insights 2024 reports that 38% of its visitors were female, up from 36% in 2023. The female share of users has been rising steadily since the mid-2010s. Women consume less pornography overall. When women develop problematic use, they report similar levels of distress, shame, and functional impairment to men (Bőthe et al. 2024 International Sex Survey). Female prevalence is also likely underestimated because women are less likely to disclose pornography use due to social stigma.

Porn Addiction Statistics by Age

Porn addiction statistics by age show that pornography use peaks in young adulthood. 57% of Americans ages 18–24 seek pornography at least monthly, compared to 29% of adults over 25 (Barna Group, The Porn Phenomenon, 2016). Daily use ranges from 6% to 12% of Americans ages 13 and older, depending on the cohort.

The average age of first pornography exposure is approximately 12 for all children (Common Sense Media 2023). Lim et al. (2024) reported 13.2 years for boys and 14.1 years for girls in an Australian sample. Teenage exposure is close to universal among boys. Sabina, Wolak & Finkelhor (2008), published in CyberPsychology & Behavior, found that 93% of teenage boys and 62% of teenage girls had been exposed to internet pornography by adulthood.

Pornhub Insights 2024 reports an average visitor age of 38. 27% of users are ages 18–24 and 24% are ages 25–34. The under-35 cohort represents slightly over half of all visitors. This reinforces the young-adult consumption peak seen in the Barna data. Usage drops sharply after age 55. A small subset of adults over 60 maintains regular consumption according to the same Pornhub Insights reporting. The pattern across the life course is early exposure in adolescence, peak monthly and daily use in young adulthood, and a gradual decline through middle and older age.

Porn Addiction Statistics by Country

Porn addiction statistics by country show that the United States consistently ranks first in total Pornhub traffic at roughly 27% of global share (Pornhub Insights 2024). Bőthe et al. (2024, Addiction) found at-risk rates for problematic pornography use ranging from 3.2% to 16.6% across 42 countries, depending on the screening tool applied.

The top consuming countries by 2024 Pornhub traffic share are the United States, France, the Philippines, Mexico, the United Kingdom, Germany, Brazil, Italy, Japan, and Canada (Pornhub Insights 2024). The United States generates roughly six to seven times more Pornhub traffic than France, the second-ranked country. The United States holds approximately 27% of global share against France's roughly 4%. Per-capita consumption ranks differently from total volume. Smaller countries with high internet penetration often rank higher per person than the U.S.

Cross-national at-risk prevalence was measured by Bőthe et al. (2024) using the International Sex Survey across 42 countries. The sample size was 82,243 adults. The 3.2% to 16.6% range reflects different validated instruments applied to the same respondents. The Problematic Pornography Consumption Scale sits at the lower bound. The Brief Pornography Screen sits at the upper bound. Global average Pornhub session length in the 2024 Year in Review was approximately 9 minutes 40 seconds. Mexico topped the ranking at 11 minutes 1 second. The United States came in at 10 minutes 37 seconds. Countries with strict pornography restrictions report very low official consumption. Widespread VPN usage makes the real numbers unknown.

How Much Porn Do People Watch?

Pornography consumption statistics show that Pornhub received an estimated 928 million unique monthly visitors in late 2024 (Similarweb). Approximately 4% of the top 1 million websites are sex-related (Ogas & Gaddam 2011). 57% of Americans ages 18–24 seek pornography at least monthly, compared to 29% of adults over 25 (Barna 2016). Pornhub's last self-reported annual total was 42 billion visits in the 2019 Year in Review, before the platform discontinued raw-volume reporting.

Ogas & Gaddam (2011), in A Billion Wicked Thoughts, analyzed the top 1 million most-visited websites and found approximately 4% were sex-related. The same researchers analyzed roughly 400 million Dogpile searches from 2009 to 2010. They found that approximately 13% of all web searches in that dataset were for erotic content. Frequency of use data from the Barna Group's 2016 The Porn Phenomenon report shows the 18–24 cohort is the heaviest at 57% monthly use. Adults over 25 drop to 29% monthly. Daily consumption runs between 6% and 12% of Americans ages 13 and older depending on age cohort.

The main pornography consumption statistics are listed below.

• Unique monthly visitors — Pornhub received approximately 928 million unique monthly visitors in late 2024 according to Similarweb.

• Annual visits — Pornhub's 2019 Year in Review reported 42 billion annual visits, the last self-reported figure before the platform discontinued total-volume reporting.

• Share of websites — Ogas & Gaddam (2011) found approximately 4% of the top 1 million websites were sex-related.

• Monthly use (ages 18–24) — 57% of Americans ages 18–24 seek pornography at least monthly (Barna 2016).

• Monthly use (adults over 25) — 29% of adults over 25 seek pornography at least monthly (Barna 2016).

• Daily use — Between 6% and 12% of Americans ages 13 and older view pornography daily, depending on age cohort (Barna 2016).

• Device share — Pornhub Insights 2024 reports approximately 90.5% of traffic from smartphones, 7.9% from desktop or laptop, and 1.6% from tablets.

How Is Porn Addiction Measured?

Porn addiction is measured using clinical diagnostic criteria from the ICD-11, standardized self-report scales, and behavioral time benchmarks. There is no single numerical threshold. The three layers combine to produce the 3%–11% range reported across the research literature.

The World Health Organization added compulsive sexual behaviour disorder (CSBD) to the ICD-11 in 2019. CSBD is defined as a persistent pattern of failure to control intense, repetitive sexual impulses resulting in repetitive sexual behavior over an extended period of 6 months or more. Three standardized self-report scales dominate the research literature. The Problematic Pornography Consumption Scale (PPCS) is an 18-item instrument developed by Bőthe et al. (2018) that measures six addiction components. The Brief Pornography Screen (BPS) is a 5-item clinical screen by Kraus et al. (2020). The Cyber Pornography Use Inventory (CPUI-9) is a 9-item measure of perceived pornography addiction by Grubbs et al. (2015).

Cooper, Delmonico & Burg (2000) separately classified users exceeding 11 hours per week of online sexual activity as "cybersex compulsive." The framework used by Certified Sex Addiction Therapists following Patrick Carnes relies on three behavioral markers — preoccupation, loss of control, and negative life consequences.

Porn Addiction and Mental Health Statistics

Porn addiction statistics on mental health show that compulsive pornography users report higher rates of depression, anxiety, shame, and suicidal ideation than non-addicted controls. The correlations are consistent across studies. Effect sizes are moderate, and causality runs in both directions.

Grubbs and colleagues have documented small-to-moderate positive correlations between problematic pornography use and depression severity across multiple studies in Archives of Sexual Behavior and related journals. The studies used the Brief Symptom Inventory and similar measures. Heavy pornography users show elevated anxiety scores on standardized measures. Withdrawal-like symptoms including restlessness and irritability appear in self-reports of abstinence attempts.

Okasha et al. (2025), published in BMC Nursing, surveyed 828 Egyptian nursing students. The study found that 5.6% met the threshold for pornography addiction. Approximately 37% fell into problematic-use categories combined. In the same sample, a regression model including pornography addiction, weekly viewing time, and gender explained roughly 46.5% of the variance in personality scores. The addiction-only model explained 16.2% of the variance in depression, anxiety, and stress scores. Barna 2016 reports that 38% of teen and 21% of young-adult pornography users report feelings of guilt. Kraus and colleagues and Ballester-Arnal and colleagues have documented elevated suicidal ideation in individuals with CSBD compared to the general population. A 2025 Archives of Sexual Behavior study by the Ballester-Arnal research group reported suicide risk in roughly 46% of sex addiction patients.

Porn Addiction and Relationships Statistics

Porn addiction statistics on relationships show that beginning pornography use is linked to a rise in divorce probability in the next 2-year General Social Survey wave. The rise is from approximately 6% to 11% for men and from 6% to 16% for women (Perry & Schleifer 2017, Journal of Sex Research).

Perry & Schleifer (2017) analyzed General Social Survey panel data. The study found that respondents who began using pornography between waves showed nearly double the divorce probability in the next panel wave compared to those who did not. The women's figure was drawn from a smaller subsample and was first presented at the 2016 American Sociological Association annual meeting. Longitudinal studies of pornography use and marital satisfaction consistently report decreases in reported satisfaction among couples where one partner uses pornography compulsively.

Steffens & Rennie (2006), published in Sexual Addiction & Compulsivity, found that approximately 70% of female partners of diagnosed sex addicts met PTSD criteria (except criterion A1) after disclosure of the partner's behavior. Barna Group's 2016 The Porn Phenomenon reports that 43% of adults who have personally struggled with pornography or sexual addiction identify pornography as an issue in their relationships, compared with 3% of non-strugglers. Heavy pornography users show elevated rates of actual infidelity compared to non-users, though the direction of causality remains debated in the research. Couples where compulsive pornography use is present consistently report lower emotional closeness and lower communication satisfaction than couples without compulsive use.

Porn Addiction and Sexual Dysfunction Statistics

Porn addiction statistics on sexual dysfunction show that rates of erectile dysfunction in young men have risen sharply since the mid-2000s. The pre-internet baseline was 2% to 5% (Laumann et al. 1999, JAMA; Prins et al. 2002). Modern community and clinic samples report rates of roughly 14% to 45%. The rise has coincided with widespread high-speed internet pornography access.

Laumann et al. (1999), published in JAMA, and Prins et al. (2002), published in the International Journal of Impotence Research, placed erectile dysfunction in young men at approximately 2% to 5% before internet pornography became widely available. O'Sullivan et al. (2016), published in the Journal of Adolescent Health, tracked 405 Canadian males ages 16–21 longitudinally across five online surveys over two years. The study reported problems in erectile function in approximately 45% across at least one survey wave. This figure describes young men generally rather than a porn-addiction-specific prevalence. Capogrosso et al. (2013), published in the Journal of Sexual Medicine, found that approximately one in four men (26%) seeking treatment at a Milan andrology clinic for newly diagnosed erectile dysfunction were under the age of 40.

Park et al. (2016), published in Behavioral Sciences, is a review article titled "Is Internet Pornography Causing Sexual Dysfunctions? A Review with Clinical Reports." The authors are physicians affiliated with Naval Medical Center San Diego. The paper synthesized existing literature and presented three clinical case reports suggesting a link between internet pornography use and sexual dysfunction in young men. Heavy pornography users self-report elevated rates of delayed ejaculation, anorgasmia, and libido reduction across multiple survey datasets. Case reports from Park et al. (2016) and Bronner & Ben-Zion (2014) describe recovery of normal sexual function after sustained abstinence. No controlled abstinence trial has been published.

Porn Addiction Recovery Statistics

Porn addiction recovery statistics show that cognitive-behavioral therapy (CBT) and acceptance and commitment therapy (ACT) have shown promise for reducing compulsive sexual behavior symptoms. Fewer than 15% of affected individuals seek professional treatment. Relapse rates remain elevated through the first year without sustained support.

Briken and colleagues have reviewed psychotherapy for compulsive sexual behavior. CBT and ACT show promise for reducing CSBD and problematic pornography use symptoms. The existing trial literature is too varied to support meta-analysis. Recovery timelines for pornography abstinence in popular writing are commonly drawn from substance addiction imaging research, such as Volkow et al. on methamphetamine dopamine transporter recovery, rather than from porn-specific imaging studies. Behavioral addiction research indicates that relapse rates are highest in the first 90 days and remain elevated through the first year without ongoing support.

Recovery app research, including early data from Reboot Nation, QUITTR, and similar platforms, remains preliminary. Early observations suggest that users who engage with structured daily tracking show lower relapse rates than those who do not. The treatment-seeking gap is large. Bőthe et al. (2024) found that only 4% to 10% of individuals at risk for problematic pornography use in the International Sex Survey had ever sought treatment. An additional 21% to 37% wanted treatment but had not pursued it. The vast majority of men who experience problematic pornography use never reach a clinician.

Porn Industry Statistics

Porn industry statistics show that the U.S. pornography industry is commonly estimated at $6 billion to $15 billion in annual revenue. Pornhub's last self-reported annual total was 42 billion visits (2019 Year in Review). Pornographic content represents roughly 4% of the top 1 million most-visited websites (Ogas & Gaddam 2011).

The global pornography industry is privately held, so no authoritative revenue figure exists. Older commonly cited estimates place global annual revenue between $10 billion and $30 billion. Recent market research firms place the global online adult entertainment market substantially higher. U.S. industry revenue is commonly estimated at $6 billion to $15 billion. Pornhub's 2019 Year in Review reported 42 billion annual visits. This is the last self-reported figure before the platform discontinued publishing total-volume data after 2020. Similarweb estimates approximately 928 million unique monthly visitors to Pornhub in late 2024.

Ogas & Gaddam (2011) analyzed the top 1 million most-visited websites and found approximately 4% were sex-related. The Ballard Brief from Brigham Young University cites a higher 12% figure drawn from external sources. The same Ogas & Gaddam Dogpile dataset from 2009 to 2010 found that roughly 13% of all web searches in the sample were for erotic content. Paid platform revenue from OnlyFans, cam sites, and similar creator platforms has expanded rapidly since 2020. This has shifted the industry's monetization model toward direct creator payments.

Emerging Pornography Addiction Trends

Emerging porn addiction statistics show that AI-generated pornography is expanding rapidly. 98% of all deepfake videos are now pornographic. The total volume of deepfakes has increased more than 550% since 2019 (Home Security Heroes 2023, State of Deepfakes). 99% of deepfake pornography depicts women.

The Home Security Heroes 2023 State of Deepfakes report found that 98% of deepfake videos on the internet are pornographic. The same report found a 550% increase in total deepfakes since 2019, with 99% of the content depicting women. The rise of generative AI has produced a sharp increase in synthetic pornographic content. This raises concerns about non-consensual imagery and accelerated novelty-seeking patterns in viewers.

Mobile dominance has grown sharply since the mid-2010s. Pornhub 2024 Year in Review reports approximately 90.5% of traffic from smartphones. This compares with roughly 60% of traffic from combined mobile and tablet devices in 2015. The 2024 global average Pornhub session length is approximately 9 minutes 40 seconds. U.S. sessions sit slightly higher than the global average at 10 minutes 37 seconds. Common Sense Media (2023) reports that 15% of teens had seen pornography by age 10 or younger. A small number reported first exposure as early as age 7 or 8.

What Causes Porn Addiction?

Porn addiction is caused by the interaction of neurobiological, psychological, and environmental factors that together override self-regulation of pornography use. Problematic pornography use engages overlapping mesolimbic reward circuits — the ventral striatum, anterior cingulate cortex, and amygdala — with those involved in substance cue-reactivity (Voon et al. 2014). Underlying depression, anxiety, and trauma increase vulnerability. Using pornography as a coping mechanism reinforces the behavior. Dr. Al Cooper's Triple-A Engine framework (1998) identifies access, affordability, and anonymity of internet pornography as the three environmental conditions that remove barriers previously limiting consumption.

What Are the Effects of Porn Addiction?

The effects of porn addiction include measurable brain changes, mental health deterioration, relationship damage, and sexual dysfunction. Kühn & Gallinat (2014), published in JAMA Psychiatry, found that higher pornography use was associated with smaller right caudate gray matter volume and reduced caudate–prefrontal cortex connectivity in a cross-sectional imaging study. Heavy users show elevated rates of depression, anxiety, shame, and social isolation. Relationship effects include trust erosion, emotional disconnection, and partner betrayal trauma. Sexual function effects include pornography-induced erectile dysfunction (PIED), reduced libido, and conditioned arousal patterns.

What Should You Do If You Think You Have a Porn Addiction?

You should seek professional help from a therapist specializing in compulsive sexual behavior if you recognize persistent loss of control over your pornography use, continued use despite negative consequences, and marked distress or impairment.