What percentile is a 16 cm erect penis circumference in clinician‑measured datasets?

Checked on January 31, 2026
Disclaimer: Factually can make mistakes. Please verify important information or breaking news. Learn more.

Executive summary

Clinician‑measured meta‑analyses that used standardized staff measurements report an average erect penile circumference near 11.66 cm (SD ≈ 1.10 cm), which makes a 16.0 cm erect circumference an extreme outlier—well above the 99.9th percentile in that dataset (Veale et al. systematic review) [1]. Smaller or self‑measured studies report larger means and much larger standard deviations, so depending on which dataset is used the same 16.0 cm circumference can map to very different percentiles (roughly ~85th up to effectively >99.9th) [2] [1].

1. The clinician‑measured benchmark: why Veale et al. makes 16 cm essentially unprecedented

The most commonly cited clinician‑measured nomogram pools data and reports an erect circumference mean of 11.66 cm with a pooled SD of about 1.10 cm based on measurements taken by staff under standardized conditions (n for erect circumference ≈ 381 in the review) [1]. Applying a normal‑distribution approximation to that mean and SD places 16.0 cm roughly 4.3 standard deviations above the mean, a position corresponding to a percentile so high it is effectively beyond the 99.9th percentile in that clinician‑measured sample [1]. The authors themselves warn that erect measurements are relatively few in number, which magnifies uncertainty in the far tails [1].

2. Alternative clinician and clinic‑style studies give a softer rarity estimate

Not all clinician‑measured series agree on SD or sample composition: a large Italian clinic series reported a mean erect circumference of 12.03 cm with a much larger SD (~3.82 cm), which would place a 16.0 cm erect circumference only about one SD above that mean—near the 85th percentile rather than the 99th [2]. That discrepancy underscores how sample selection, measurement technique, erection method and population heterogeneity change the shape of the distribution and the inferred rarity of any single value [2] [3].

3. Self‑measured and survey datasets systematically inflate averages and widen tails

Studies that rely on self‑measurement or self‑report consistently report larger averages and wider variability than clinician‑measured studies, so percentile rankings derived from those datasets can make a 16.0 cm circumference appear less exceptional [4] [5]. Veale and colleagues and subsequent reviews note that volunteer bias and self‑measurement inflate mean values, so clinician‑measured nomograms are generally preferred for clinical percentiles despite their smaller samples for erect girth [1] [5].

4. Measurement methods, sample size and context change the answer

Observers must treat any percentile statement as conditional: “In clinician‑measured datasets that pooled standardized staff measurements (Veale et al.), 16.0 cm is essentially off the charts (>99.9th percentile) because the pooled mean is 11.66 cm with SD ≈1.10 cm” [1]. By contrast, clinic series with larger variability or self‑reported data can place 16.0 cm in a much less exceptional position (roughly the 85th–95th percentile in some datasets) [2] [4]. Veale et al. highlight that relatively few erect circumference measurements exist in the literature, increasing uncertainty in tail estimates [1].

5. Bottom line with caveats for clinicians and lay readers

Using the most widely referenced clinician‑measured nomogram (Veale et al.), a 16.0 cm erect circumference is an extreme outlier—several standard deviations above the mean and effectively beyond the 99.9th percentile in that pooled, staff‑measured dataset [1]. However, alternative clinical series and self‑measured datasets report higher means and much larger SDs that would rank 16.0 cm more moderately (around the 85th–95th percentile), so the percentile depends on which study and measurement method are treated as the reference standard [2] [4]. Crucially, erect circumference measurements are relatively sparse and heterogeneous across studies, so any precise percentile claim must be stated with that methodological caveat [1] [6].

Want to dive deeper?
How do clinician‑measured and self‑reported penis size datasets differ in mean and variance?
What measurement protocols do studies use for erect penile circumference and how do they affect results?
How many clinician‑measured erect circumference observations exist and what is the uncertainty in extreme percentile estimates?