How do gender, sexual orientation, and relationship status affect pegging rates by age group?

1. What the data we have actually measure — and what they don’t

Most available items are either broad population surveys about sexual orientation and gender identity (e.g., Gallup/Statista, Pew, Ipsos) or niche sex‑behavior summaries. For pegging specifically, Queer Majority cites a 16% lifetime prevalence among sexually active adults and IUSW’s “Anal Sex Statistics 2024” reports pegging prevalence and a breakdown by sexual orientation (17% overall pegging; bisexual 31.4%, gay/lesbian 24.1%, straight 10.4%), but these reports do not provide age‑group cross‑tabulations or analysis by relationship status in the excerpts available ^{[1] [2]}. Larger surveys track LGBTQ identification by generation and disclosure/outness, which is relevant context but not direct evidence about pegging rates by age ^{[3] [4]}.

2. Sexual orientation appears correlated with reported pegging rates in niche reports

Two of the available sex‑behavior summaries state that pegging is more commonly reported among bisexual and gay/lesbian respondents than among straight respondents — IUSW reports pegging: bisexual 31.4%, gay/lesbian 24.1%, straight 10.4%, and Queer Majority cites ~16% of sexually active adults having tried pegging ^{[2] [1]}. These sources imply sexual‑orientation differences, but they are not from the major household probability surveys (Gallup, Pew), and methodology, sampling frames, and question wording are not provided in the snippets — so the magnitudes should be treated cautiously ^{[2] [1]}.

3. Age and generation: more sexual‑identity diversity among younger cohorts, but no direct pegging-by-age data

Large public‑opinion and demographic sources show younger generations report higher rates of non‑straight identities and gender diversity (e.g., Gallup/Statista summaries and academic reviews), which creates a plausible pathway for age differences in kink practices — if sexual orientation correlates with pegging, younger cohorts’ higher bisexual and queer identification could raise overall pegging prevalence in younger age groups. However, the available reporting does not supply direct pegging rates by age group, so that inference is speculative and not documented in the sources ^{[3] [5]}.

4. Relationship status — an evidence gap

None of the provided sources link pegging rates to relationship status (married, partnered, single) in the excerpts. The broader sexual‑behavior pieces and public health surveys discuss identity, outness, and access to care but do not cross‑tabulate specific sexual practices by relationship status in the available material (not found in current reporting) ^{[6] [7]}.

5. Measurement and sampling caveats you need to know

Available pegging figures derive from niche websites or aggregated sex‑interest polls whose sampling frames and question wording are not transparent in the snippets; that raises risk of selection bias (people who visit kink sites or respond to sex‑behavior polls differ from the general population). Major probability surveys (Pew, Gallup, Ipsos) robustly measure sexual orientation/gender identity and generational patterns, but they don’t report pegging in the excerpts provided. Treat point estimates like “16%” or “17%” as indicative, not definitive — methodological detail is missing ^{[1] [2] [3]}.

6. Competing interpretations and implicit agendas

Niche sex‑culture outlets (e.g., Queer Majority, Clips4Sale‑derived coverage) may emphasize rising popularity as a cultural trend, which can reflect both genuine behavioral change and increased visibility or search interest; that can inflate apparent prevalence if not adjusted for sampling differences ^{[1] [8]}. Academic and public‑opinion sources focus on identity, disclosure, and health disparities; their agenda is often public‑health surveillance and policy, not kink prevalence, so they omit practice details ^{[9] [7]}. Analysts should therefore distinguish between “increased reporting/visibility” and true changes in population prevalence.

7. What better data would look like — and where to find it

To answer the original question rigorously, you need a probability‑based sexual‑behavior survey that includes (a) explicit pegging questions, (b) sexual orientation and gender identity, (c) age cohorts, and (d) relationship status — ideally with transparent sampling and weighting. The current materials point to good sources for identities and generational change (Gallup/Statista, Pew, Ipsos) and to smaller behavior estimates from sexual‑behavior summaries, but no single source in the provided set contains the full cross‑tabulation ^{[3] [4] [10] [2] [1]}.

If you want, I can draft specific survey question wording and a study design that would produce the full pegging-by-age-by-orientation-by‑relationship‑status table you’re asking about.