Women will talk about shaving their legs, tweezing their eyebrows and even getting Brazilian bikini waxes, but for some reason, when it comes to upper lip hair removal, everyone goes mute. Why the stigma?
We teamed up with YouGov, an international Internet-based market research firm, and conducted a poll asking over 500 women their thoughts on upper lip waxing. Below, we compiled the results into an infographic created by our own Lexi Tollefsen.
Due to rounding, percentages may not always add up to 100%
Though only 24 percent of female respondents have waxed their upper lip in their lifetime, 53 percent said they wouldn't be comfortable talking about it with the opposite sex. The numbers were better when it came to talking to other women about upper lip hair removal, as 73 percent of respondents said they would be comfortable talking about it with their girlfriends.
When asked if women with hair on their upper lips should get rid of it, the poll (which included men and women for this question) was more divided. Fifty-five percent said it was up to the women, while 40 percent said yes, they should remove it. We feel strongly that to each her own, and every woman should do what makes her happy. But we also think that we should talk about it. So, let's start a conversation and get rid of this taboo.
The HuffPost/YouGov poll consisted of 1,000 completed interviews conducted Nov. 3-7 among U.S. adults, including 525 women, using a sample selected from YouGov's opt-in online panel to match the demographics and other characteristics of the adult U.S. population.
The Huffington Post has teamed up with YouGov to conduct daily opinion polls. You can learn more about this project and take part in YouGov's nationally representative opinion polling. Data from all HuffPost/YouGov polls can be found here. More details on the polls' methodology are available here.
Most surveys report a margin of error that represents some, but not all, potential survey errors. YouGov's reports include a model-based margin of error, which rests on a specific set of statistical assumptions about the selected sample, rather than the standard methodology for random probability sampling. If these assumptions are wrong, the model-based margin of error may also be inaccurate. Click here for a more detailed explanation of the model-based margin of error.
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