African-Americans 3x More Likely to Sleep With an Ex Than Asians

This is an exclusive study conducted by DatingAdvice.com, which surveyed respondents over the course of three weeks to reflect an accurate representation of the U.S. population.

Sleeping with an ex can be a tricky matter. Sometimes it’s oddly nostalgic, while other times it’s amazingly awkward.

But in the end, how many Americans have actually revisited their past in this way?

In our latest DatingAdvice.com study, we asked a wide cross-section of U.S. residents if they’ve ever cozied up with an ex, and we got some surprising results.

African-Americans, for instance, trounced all other races in this regard. They were three times more likely than Asian-Americans, 30 percent more likely than Hispanic-Americans and 68 percent more likely than Caucasians to have sex with a former partner.

Homosexual and divorced respondents also were among the most likely demographics to rekindle a sexual flame.

Forty-nine percent of gay men and lesbian women said they’ve gone to bed with a past lover versus just 34 percent of their straight counterparts.

More than two in five divorcees have done this as well, but less than one in three married individuals have.

“African-Americans were three times as

likely than Asians to sleep with an ex.”

On the flip side, older Americans, high-wage earners and Midwesterners had some of the lowest responses.

Men and women aged 25 to 34 were almost three times more likely to sleep with an ex than men and women aged 65 and older.

In terms of earning power, those making between $50,000 and $74,999 annually proved most likely at 43 percent, while those making $125,000 or more a year proved least likely at 23 percent.

Having sex with a previous girlfriend or boyfriend appears to be the least appealing in the Midwest, where only one out of four respondents said they’ve taken part compared to two out of five respondents living in the South.

The study surveyed 1,080 respondents over the course of three weeks, balancing responses by age, gender, income, race, sexuality and other factors in order to accurately represent the U.S. population. The study has a margin of error of +/- 2.8%.