What are America’s favorite movie genres?


Pavel Prikhodko, Ph.D. Machine Learning

There are many movie genres in the American film industry, but which are the most popular in the United States? According to the statistics from 1995 to 2017, the leader amongst the movie genres was adventure movies, which generated a total box office revenue of more than $45 billion. Comedy films ranked second with $42.66 billion in the box office revenue. The cinema-friendly action genre ranked third, pulling in a total box office revenue of $37.08 billion. After action came the drama genre, generating $33.56 billion in box office revenue from 1995 to 2017. Lastly, the fifth most popular genre was thriller/suspense — the box office revenue of this genre amounted to $17.06 billion.


It can be quite interesting to analyze the data on the favorite movie genres of adults, particularly when we sort the responses by gender. As we can see on the chart, about 74 percent of male respondents said that comedy was their favorite genre in 2016. An even greater portion of female respondents stated that comedy movies were their favorite — 77 percent.

Action movies were preferred more often by men than women — 73 percent of men said that they prefer these type of movies, while only 62 percent of female respondents felt the same. On the other hand, a much larger share of women enjoyed the drama genre than men (80 percent of women, compared to 69 percent of men). Science fiction was the favorite genre of 54 percent of males and 43 percent of females, while horror was the favorite of 46 percent of females and 48 percent of males. Some people think that documentaries are boring, but the data from this study paints a different picture: 42 percent of women and 38 percent of men claimed to be documentary lovers in 2016!


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About Pavel Prikhodko


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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