Porn Addiction Statistics

Understand pornography-use and screening statistics with each study’s population, date and measure, plus the limits of treatment and prevalence estimates.

Jessica Miller is the Content Manager of Addiction HelpWritten by
Kent S. Hoffman, D.O. is a founder of Addiction HelpMedically reviewed by Kent S. Hoffman, D.O.
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What Porn Addiction Statistics Can Tell Us

There is no single percentage that measures “porn addiction” in everyone. Studies may count pornography use, self-perceived addiction, a positive screening result or a clinical diagnosis. Those are different outcomes, and combining them can produce a misleading headline.[1][2]

Each result below includes its study population, date and measure. A paper published in 2026 may report older data. A survey from several countries may still be a volunteer sample. Neither a large sample nor a recent publication date removes those limits.

AddictionHelp.com Fast Facts
  • Screening estimates depend on the tool. The same international study reported substantially different proportions using three screening measures.[2]
  • Watching and having a disorder are different. Use frequency alone does not establish compulsive sexual behavior disorder.[1]
  • A clinic sample describes people who reached care. It does not tell us the prevalence in the general population.[3]
  • Treatment percentages need context. A reduction in viewing time is not the same as a recovery rate.[4]

Start with the Measure

Before interpreting a percentage, ask what the study actually counted.

Measure What it describes What it cannot establish by itself
Lifetime pornography use Whether someone reports ever using pornography Current use or a current disorder
Past-month or past-year use Use within a specified period Impaired control, harm or a diagnosis
Self-perceived addiction Whether someone believes or describes themselves as addicted A clinician-confirmed diagnosis
Positive PPU screen A score meeting a measure’s threshold for problematic pornography use That everyone above the threshold has CSBD
Clinical diagnosis A clinician’s assessment using diagnostic criteria The prevalence in people who never attended that service

PPU means problematic pornography use. CSBD means compulsive sexual behavior disorder, a broader ICD-11 diagnosis involving impaired control and significant distress or impairment. Pornography can be part of that pattern. High sexual interest alone and distress entirely based on moral disapproval are not enough to establish CSBD.[1]

How Common Is Problematic Pornography Use?

Why the International Sex Survey Reports Different Results

A 2024 paper used International Sex Survey data collected from October 2021 through May 2022. The overall sample included 82,243 adults across 42 countries.[2] It was not a set of nationally representative probability samples, and about three-quarters of participants had tertiary education.[2]

The table reports the study’s counts above and below each screening threshold. For each row, the denominator is the positive-screen count plus the negative-screen count. The totals differ slightly because of missing data. Percentages are rounded to one decimal place.[2]

Screening measure Positive screens Negative screens Positive percentage
Problematic Pornography Consumption Scale (PPCS) 2,378[2] 72,681[2] 3.2%[2]
Short-form PPCS-6 7,380[2] 67,694[2] 9.8%[2]
Brief Pornography Screen (BPS) 12,441[2] 62,628[2] 16.6%[2]

These are screening results within the study, not three competing counts of diagnosed people worldwide. The tools and cutoffs differ. The highest estimate is not automatically the most accurate, and the range should not be converted into a population count for a country.[2]

One Iranian University Sample

A separate study collected online data from 450 married university students in Iran between March and November 2022. It reported 39.6% using pornography in the previous 12 months and 9.5% of all participants classified as problematic users under the study’s screening rule.[5]

Among the sampled men, 17.4% were classified as problematic users, compared with 5.6% of the sampled women.[5] Those sex-specific percentages use the men and women in that sample as their respective denominators. They are not rates for all Iranian adults, all students or all pornography users.[5]

This study illustrates why the population description matters. “University students” alone would omit that the sample consisted of married students recruited through convenience methods.

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What US Pornography Research Tells Us

Read two US studies with their populations and questions beside the findings, so reported use, feeling addicted, and diagnosis stay distinct.

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How Common Is Pornography Use in General?

Pornography-use surveys answer a different question from clinical studies of impaired control. A U.S. probability survey published in 2020 reported lifetime use among most respondents aged 18 to 60. Its design and age range should travel with that finding. It is not a current-year addiction estimate.[6]

Be cautious when an online table combines lifetime, past-year and past-month figures or compares numbers from unrelated surveys. A person who watched once years ago belongs in a lifetime-use category but may not belong in a recent-use category.

Why a Single Platform’s Traffic Is Not a Population Survey

Website analytics can count visits, searches, sessions or devices. One person may create many visits, while someone who uses a different platform is absent from that site’s data.

For that reason, a platform’s traffic total cannot be converted directly into the number of people who use pornography, the share of the public who are women or the prevalence of a disorder. Those questions require an appropriate population, measurement method and denominator.

A site’s report may still describe its own traffic. It should be labeled as platform-reported activity for a specific period, with no suggestion that it measures the whole population.

When Do People First Encounter Pornography?

A 2017 study surveyed a convenience sample of 941 people aged 15 to 29 in Victoria, Australia, recruited through social media.[7] Of those participants, 815, or 87%, reported ever viewing pornography.[7] Reported median age at first viewing was 13 for men and 16 for women.[7]

These are retrospective reports from one sample. They do not establish the age of first exposure for every child, a U.S. population rate or proof that early exposure causes later compulsive use. The authors called for longitudinal research to examine causal effects.[7]

A median is the middle reported value, not an age at which everyone begins. When comparing age groups, categories also need to be mutually exclusive. “Ages 18–25” and “25 and older” overlap at age 25 and cannot be treated as separate groups without clarification.

What Do Treatment-Seeking Samples Show?

A study published in 2025 reviewed records from 589 adults seeking care through psychiatric and sexual-health services in India during January–June 2024.[3] The sample was selected for treatment-seeking concerns and clinical CSBD criteria, rather than drawn from the general population.[3]

Finding in that clinical sample Count / denominator Reported percentage
Male participants 583 / 589[3] 98.98%[3]
Participants younger than 30 374 / 589[3] 63.5%[3]
Participants with no prior treatment history 465 / 589[3] 78.9%[3]

These figures describe who reached those services. They cannot establish that almost everyone with pornography-related problems is male, that most affected people are under 30 or that the same treatment gap exists in every country.[3]

Access, recruitment, willingness to disclose concerns and the population served all matter when interpreting a clinic’s records. A group that is uncommon in a particular clinic can still have unmet needs.

What Is the Link with Mental Health?

A 2025 publication followed 4,363 U.S. adults over one year with three measurement waves.[8] PPU and psychological distress were strongly associated across participants, but the study’s within-person analyses did not support a simple story in which one reliably caused increases in the other.[8]

This distinction matters. Two concerns can occur together without a study proving which began first, whether they share other contributors or what would happen if one were treated.

The causes guide explains how to read findings about emotional coping, cues and brain imaging. The effects guide addresses other possible impacts. Neither a questionnaire score nor a brain-imaging result can explain an individual’s situation on its own.

What About Relationship Statistics?

Relationship research can measure sexual satisfaction, overall satisfaction, conflict, secrecy or differences between partners. Those measures should not be treated as one outcome.

When reading a claim, check whether researchers asked one partner or both, whether the sample included couples or unrelated individuals, and whether the study followed participants over time. An association cannot prescribe a couple’s boundaries or prove that one partner caused the other’s behavior.

What Do Treatment Numbers Mean?

A Small ACT Trial

A 2016 randomized trial enrolled 28 adult men, all but one from the same religious community, and compared a 12-session acceptance and commitment therapy intervention with a waiting-list condition.[4] Self-reported viewing decreased by 93% in the ACT condition versus 21% in the waiting-list condition.[4]

After combining treated participants, the analysis included 26 men.[4] Self-reported viewing had dropped to zero for 54% after treatment and 35% at the three-month follow-up.[4] These are different outcomes and denominators from the initial between-condition comparison.[4]

The results support further research. They do not establish a universal recovery rate, a universal chance of abstinence or the effectiveness of every program using the word ACT.[4]

Why Dropout Changes the Interpretation

The Hands-off web-intervention feasibility trial randomized 264 participants and reported promising outcomes among participants with follow-up data.[9] 89.4% of the intervention group did not complete follow-up.[9]

A result from the people who remain cannot automatically be applied to those whose outcomes are missing. Nor does dropout itself prove that treatment failed for every person who left. It limits what the study can establish.[9]

A 2026 scoping review of CBT-based PPU interventions found variation in methods and protocols, with important limitations in the evidence. Treatment research is developing, and large promises should be checked against the actual study design.[10]

Why Estimates Differ—and Why Bias Is Not One-Way

Several features can change a reported percentage:

  • Recruitment: Volunteers, students, clinic patients and probability samples represent different groups.
  • Definition: A question about ever viewing pornography does not measure impaired control.
  • Time period: Lifetime use and use during the past month are different denominators of experience.
  • Screening threshold: Different cutoffs identify different proportions.
  • Missing responses: An overall study sample may be larger than the number included in a particular result.
  • Disclosure and recall: People may remember, interpret or answer sensitive questions differently.

Underreporting is a possible concern, but it is not the only source of error. Selection, measurement and reporting can affect estimates in different ways. The presence of stigma does not justify choosing the highest number or declaring that the true rate must be higher.

A Quick Check Before Sharing a Statistic

A useful sentence should answer: Who was studied, where, when, using which measure and out of how many people? If a detail is missing, look for the original paper before repeating the figure.

Do not compare percentages as a trend unless the populations, questions and methods are sufficiently comparable. A higher number in a later publication can reflect a different measure rather than an increase over time.

Get Help for Concerns About Pornography Use

Population research can put an issue in context. It cannot determine whether your pornography use is affecting your life or which care you need.

If you are concerned about control, distress, relationships or daily responsibilities, consider an assessment. You can read the warning signs, explore treatment and rehab, review support resources or find treatment help. A self assessment can organize questions, but it cannot diagnose a disorder.

If you are in emotional distress or a suicide crisis in the United States, call or text 988 for support.[11] Call 911 for an immediate life-threatening emergency.

Frequently Asked Questions About Porn Addiction Statistics

What Percentage of People Have Porn Addiction?

The reviewed research does not establish one universal percentage. Estimates depend on the population, measure and screening threshold. A positive PPU screen is not the same as a clinical diagnosis.[2][1]

Why Did One Study Report 3.2, 9.8 and 16.6 Percent?

The International Sex Survey paper applied three different screening tools, with slightly different valid-response denominators. Those results should not be converted into counts of diagnosed people worldwide.[2]

Does a Treatment-Seeking Sample Show National Prevalence?

No. A clinic sample describes the people who reached that service and met the study criteria. The Indian clinical sample discussed here cannot establish prevalence in the general population.[3]

Is Treatment Completion the Same as Recovery?

No. Completion, reduced viewing, questionnaire changes and abstinence describe different outcomes. High dropout also limits how confidently findings can be applied to everyone enrolled.[9][4]

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11 Sources
  1. Kraus, S. W., Krueger, R. B., Briken, P., First, M. B., Stein, D. J., Kaplan, M. S., Voon, V., Abdo, C. H. N., Grant, J. E., Atalla, E., & Reed, G. M. (2018). Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry, 17(1), 109–110. https://doi.org/10.1002/wps.20499
  2. Bőthe, B., Nagy, L., Koós, M., Demetrovics, Z., Potenza, M. N., International Sex Survey Consortium, & Kraus, S. W. (2024). Problematic pornography use across countries, genders, and sexual orientations: Insights from the International Sex Survey and comparison of different assessment tools. Addiction, 119(5), 928–950. https://doi.org/10.1111/add.16431
  3. Gokani, N., Gowande, T., Sahore, A., & Deshpande, S. (2025). Clinical and demographic correlates of pornography addiction: A cross-sectional study from India. Indian Journal of Psychological Medicine. Advance online publication. https://doi.org/10.1177/02537176251381219
  4. Crosby, J. M., & Twohig, M. P. (2016). Acceptance and commitment therapy for problematic Internet pornography use: A randomized trial. Behavior Therapy, 47(3), 355–366. https://doi.org/10.1016/j.beth.2016.02.001
  5. Pouralijan, Z., Bőthe, B., & Farnam, F. (2024). Pornography use, demographic and sexual health characteristics among university students: A gender-based comparative study of non-users, non-problematic users, and problematic users. Reproductive Health, 21(1), Article 103. https://doi.org/10.1186/s12978-024-01841-x
  6. Herbenick, D., Fu, T. C., Wright, P., Paul, B., Gradus, R., Bauer, J., & Jones, R. (2020). Diverse sexual behaviors and pornography use: Findings from a nationally representative probability survey of Americans aged 18 to 60 years. The Journal of Sexual Medicine, 17(4), 623–633. https://doi.org/10.1016/j.jsxm.2020.01.013
  7. Lim, M. S. C., Agius, P. A., Carrotte, E. R., Vella, A. M., & Hellard, M. E. (2017). Young Australians’ use of pornography and associations with sexual risk behaviours. Australian and New Zealand Journal of Public Health, 41(4), 438–443. https://doi.org/10.1111/1753-6405.12678
  8. Engelhardt, R., Geppert, R., Grubbs, J. B., von Oertzen, T., Trommer, D., Maes, J., & Kraus, S. W. (2025). Problematic pornography use and psychological distress: A longitudinal study in a large US sample. Addictive Behaviors, 169, Article 108398. https://doi.org/10.1016/j.addbeh.2025.108398
  9. Bőthe, B., Baumgartner, C., Schaub, M. P., Demetrovics, Z., & Orosz, G. (2021). Hands-off: Feasibility and preliminary results of a two-armed randomized controlled trial of a web-based self-help tool to reduce problematic pornography use. Journal of Behavioral Addictions, 10(4), 1015–1035. https://doi.org/10.1556/2006.2021.00070
  10. Zwielewski, G., Machado, V., Fiamoncini, A. A., Quinta-Gomes, A. L., & Cruz, R. M. (2026). Cognitive behavioral therapy-based interventions for problematic pornography use: A scoping review. Sexual Medicine Reviews, 14(2), Article qeag027. https://doi.org/10.1093/sxmrev/qeag027
  11. 988 Suicide & Crisis Lifeline. (n.d.). What to expect. Retrieved October 1, 2026, from https://988lifeline.org/get-help/what-to-expect/
Written by
Jessica Miller is the Content Manager of Addiction Help

Editorial Director

Jessica Miller is the Editorial Director of Addiction Help. Jessica graduated from the University of South Florida (USF) with an English degree and combines her writing expertise and passion for helping others to deliver reliable information to those impacted by addiction. Informed by her personal journey to recovery and support of loved ones in sobriety, Jessica's empathetic and authentic approach resonates deeply with the Addiction Help community.

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Kent S. Hoffman, D.O. is a founder of Addiction Help

Co-Founder & Chief Medical Officer

Kent S. Hoffman, D.O. has been an expert in addiction medicine for more than 15 years. In addition to managing a successful family medical practice, Dr. Hoffman is board certified in addiction medicine by the American Osteopathic Academy of Addiction Medicine (AOAAM). Dr. Hoffman has successfully treated hundreds of patients battling addiction. Dr. Hoffman is the Co-Founder and Chief Medical Officer of AddictionHelp.com and ensures the website’s medical content and messaging quality.

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