How correlated are penis length and girth in measured datasets—do men with greater length generally have greater girth?

Checked on January 16, 2026
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Executive summary

Measured clinical datasets consistently report a positive relationship between penile length and girth—men with longer penises tend, on average, to have greater girth—but that relationship is usually modest: correlations are statistically significant in many large, measured samples yet explain only a small portion of individual variation (i.e., length is a weak-to-moderate predictor of girth) [1] [2] [3] [4].

1. What the measured studies actually report

Multiple large, clinician‑measured studies and systematic reviews find significant positive correlations between length and circumference: for example, a study of 2,276 men reported significant relationships among flaccid, stretched and circumferential measures (P < 0.01) [3], smaller clinical series and mixed‑cohort studies likewise report statistically significant positive correlations between stretched/erect length and girth [1] [2], and a broad meta‑analysis compiled clinician‑measured data worldwide through February 2024 to show patterns across WHO regions while noting co‑variation in dimensions [4].

2. How strong is the correlation—what “positive” means in practice

The literature consistently characterizes the association as positive but modest: many studies find statistically significant correlations but with small effect sizes, meaning length explains only a limited share of girth variation and vice versa [3] [1]; systematic reviews and large pooled analyses emphasize dispersion and heterogeneity across samples rather than a tight one‑to‑one scaling of width with length [4] [5].

3. Why estimates vary: measurement and study design issues

Substantial methodological heterogeneity clouds precision—studies differ in whether measurements were flaccid, stretched, or erect, where girth was measured (mid‑shaft vs base), who measured (clinician vs self‑report), and how arousal, temperature and prior ejaculation were controlled—which inflates variation and can alter correlation estimates [6] [7] [4].

4. Population differences, sample size and heterogeneity

Large national series and meta‑analyses find mean lengths and girths with fairly consistent averages (erect length ~13 cm, erect girth ~11.7 cm in pooled analyses) but also wide within‑population spread; heterogeneity between studies—driven by small sample sizes, geographic sampling and protocol differences—means the strength of the length–girth association can shift across datasets [5] [4] [7].

5. Alternative findings and nuances worth noting

Some studies highlight low or negligible correlations between certain measures or between penile dimensions and other body metrics: for example, an Argentinian sample found low or no correlation between penile circumference and several anthropometrics except the expected flaccid–stretched length linkage [8], while method reviews warn that girth was measured in only a subset of many studies and that reporting practices vary widely [6]. Evolutionary or attractiveness discussions sometimes treat length and width as covarying “overall penis size” in modeled stimuli, but that computational covariance does not substitute for measured population correlation coefficients [9].

6. Bottom line for interpretation and application

The consistent practical conclusion across measured datasets is straightforward: length and girth are positively correlated on average, so men with greater length are somewhat more likely to have greater girth, but the correlation is not strong enough to reliably predict an individual’s girth from their length (or vice versa); measurement heterogeneity and biological variation mean many exceptions exist and effect sizes are modest [1] [2] [3] [4].

Want to dive deeper?
How do measurement methods (flaccid vs stretched vs erect) change reported correlations between penile length and girth?
What are the reported correlation coefficients between length and girth in the largest measured studies and meta‑analyses?
How much do demographic factors (age, BMI, geography) influence penis length–girth relationships in clinical datasets?