Contraception – do Americans believe it’s morally acceptable?

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Pavel Prikhodko, Ph.D. Machine Learning

Contraception is a controversial topic and frequently discussed nowadays. In the United States, contraception is widely considered morally acceptable — in 2016, 89 percent of American respondents stated that they believe using birth control is acceptable. Only 6 percent of respondents believe that contraception is morally wrong. About 2 percent said that it depends on the situation, while 1 percent said that it is not a moral issue. Lastly, 2 percent of respondents had no opinion on the question.

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As you can see on the graph below, around 37.14 million Americans used condoms in 2012, while around 267.83 million did not use contraception. (this data comes from Statista, based on U.S. Census data and data from the Simmons National Consumer Survey). In 2013, the number of people who used condoms increased to 38.72 million, while the number of people who preferred not to use condoms amounted to 269.24 million. During the next year, the number of people who said they used condoms amounted to 36.85 million, and the number of people who did not jumped to 272.89 million.

In 2015 and 2016, the number of people who used condoms amounted to 37.95 million and 36.47 million respectively, while the number of people who did not use condoms reached 275.23 million and 279.72 million accordingly. In 2017, the number of people who used contraception dipped to 34.43 million. In this same year, the number of people who did not use contraception reached its peak: 284.22 million people. The forecast suggests that in 2018 the number of condom users should increase to 34.62 million people in the U.S., while the number of people who don’t use contraception will also increase to 287.55 million.

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About Pavel Prikhodko

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Pavel Prikhodko, Ph.D. Machine Learning

Pavel has worked for many years as a researcher and developer on a wide range of applications (varying from mechanics and manufacturing to social data, finance and advertising), building predictive systems and trying to find stories that data can tell.

In his free time, he enjoys being with his family.

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