calcSD

Penis Percentile Calculator

Welcome to calcSD, a lightweight website made so you can easily estimate the rarity of specific dick sizes. All numbers displayed on this page are statistical expectations based on researched measurements, and less accuracy is expected the further away from the average you are. Feel free to type any size below.

Not sure how to use this site?

Over on the side, you can find an area for typing in numbers. You can input the measured length and girth of your penis in there and it'll calculate its stats for you, while also giving you recommendations for fitting condoms. Volume will be automatically calculated!


If you're confused about how to measure yourself, for length you can use a hard ruler and press it against the pubic bone*, and for girth a tailor's tape wrapping around the thickest part of the shaft (but never the head) tends to work best. If you need more guidance, click here!

* this is bone-pressed (BP), while not pressing it into the fat pad is NBP


We also worked on:

The Dstats API which allows you to consult our data for your application or website.


Our experimental Dvisualizer (NSFW) site where you can visually preview and compare different penis sizes.


calcSD's experimental testicular size calculator, which currently lacks enough data to provide meaningful stats.


Calculator Options​ ×

Number of people in a room (to compare against):

Change calculator layout:

Change which appears first:

Condom Recommendations



Type in your Erect Girth in the field above, and we'll recommend condoms that may fit better.

Condom Info​ ×

Girth Range:

NaNcm - NaNcm

Fit:

Normal

Length:

NaNcm

Available Data:

Nominal Width:

mm

Material:

Dataset Details

Dataset Options​ ×

Include studies with high standard deviation (>= 2.0cm):

Include studies that contain E.D. measurements:

Change dataset table content:


Selected dataset:

Compare the data of each selectable dataset above.


Dataset NameErect LengthErect GirthFlaccid LengthFlaccid GirthF. Stretched Length

A normal distribution is used to calculate the percentiles and z-scores of these measurements.

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