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Internet Culture

What we can learn from 10,000 porn stars

Jon Millward crunched the numbers for 10,000 porn stars on the Internet Adult Film Database. Here’s what he found. 

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Like most of us, writer Jon Millward has spent the last few months thinking about porn on the internet. He’s been crunching numbers taken from 10,000 profiles of porn stars on the Internet Adult Film Database, compiling the data—heights, weights, and bra sizes; roles, movie titles, and sex acts; names, races and birthplaces—into an impressive infographic that finally answers burning questions like what is the average age of a “MILF”?and what is more popular, butts or boobs?

The answers may surprise you! Or they may not. Or you may find yourself wondering how accurate the information at IAFD.com is, and how comprehensive it is as a survey of porn stars—very, on both counts, Millward believes, though statistics like number of films and length of career may be skewed by performers whose foray into pornography is so brief no profiles are ever made.

But it seems fair to assume that some of the more basic demographic information is right. Among the things we might learn from (the processed data of) 10,000 porn stars:

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  • The most common bra size is 34B, and most female porn performers are brunettes.
  • The top porn star-producing state is California, which has birthed four times as many porn stars (939) as its next-closest rival Florida (at 216). (After Florida come Texas, New York and Ohio.)
  • Internationally, Hungary and the Czech Republic follow the United States as the most common birth places of porn stars.
  • The most common role for women in porn: “teen.” Followed by: “MILF,” “wife” “cheerleader” and “nurse.”
  • The average age of performers playing “MILFs”: 33. Only 7 percent are over 40 years old.
  • “Butts,” and its synonyms, appear in porn titles twice as frequently as “boobs” and its synonyms. Peak butts was reached in 2006.

The full infographic is below. (Mildly linguistically NSFW.) You can read Millward’s analysis of his data at his blog here.

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The Daily Dot