Fists and money – participants and pay per view viewers of boxing

Pavel Prikhodko, Ph.D. Machine Learning

In a previous article, we examined the history of boxing in the United States and gauged peoples’ interest in professional boxing. Now we can review the number of American viewers who watched professional boxing on pay-per-view TV from spring 2011 to spring 2015 using numbers from Statista.com.

The number of people who purchased pay-per-view boxing events in spring 2011 was greater than in autumn – 8.55 million people versus 8.53 million people. The largest number of people who watched pay-per-view pro boxing in recent years was registered in autumn 2012: over 11 million viewers. In comparison, there were only 9.82 million viewers in spring 2012. In 2013, there were more than 20 million viewers overall: 10.5 million in spring and 9.9 million in autumn. Quite similar numbers were documented in 2014 (10 million and 9.8 million viewers respectively). In spring 2015, around 8.47 million people watched boxing on pay-per-view.

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Let’s take a look at the number of participants (aged six years and older) in boxing in the U.S. from 2006 to 2013. That number increased from 2.04 million people in 2006 to 2.93 million people in 2009. In 2010, the number of boxing participants jumped to 5.64 million people but then decreased to 5.11 million people in 2011. The highest number of people participated in boxing in 2012: over 6.4 million people. In 2013, the number of boxing participants amounted to 6.39 million people.

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Sales of boxing equipment also help reflect the popularity of the sport among Americans. In 2007, manufacturers’ sales of boxing equipment amounted to around $105 million.  In 2008 and 2009, sales were around $110 million and $108 million respectively. Sales of boxing equipment in the U.S. were about $106 million in 2010 and $105 million in 2011. In the following years (2012, 2013 and 2014) boxing equipment sales stayed the same – $106 million.

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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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