What’s This Movie’s Demographic Footprint?

A Quiet Place has attracted a young audience of both males and females

You’re probably looking at this week’s title and saying to yourself, “What is the Mad Movie Man getting us into this week?” Well, thanks to the folks at IMDB who provide demographic data of each movie based on their ratings, we can derive a demographic footprint for each movie.

Wait a minute, didn’t I tell you in these pages that IMDB ratings are skewed heavily towards men. I did. I’ll also tell you that the ratings are skewed towards IMDB voters older than 29. Based on my data sample, only 18.6% of all votes on IMDB are female votes. Additionally, only 38.8% of all votes are from movie fans under 30.   By scaling this data to the averages, we can begin to neutralize the biases of the data. From this data I can create the following scales:

Female % of IMDB Vote
“guy movie” Gender Neutral “Chick flick”
< 14%  14% – 23.3%  > 23.3%
Age < 30 % of IMDB Vote
“young adult’s  movie” Age Neutral “grown-ups movie”
< 29.1%  29.1% – 48.5%  > 48.5%

Additionally, IMDB provides average ratings by demographic group. We can use this data to determine if any particular group tends to like a movie more than others.

So, how would this work? Let’s say you are going to the movies this weekend and you are trying to decide which movie to see. The three movies below are all quality movies.

 

Movie Gender Orientation Gender Friendly Age Orientation Age Friendly
A Quiet Place Neutral Female < 30 30+
Ready Player One Male Neutral Neutral 30+
Love, Simon Female Female < 30 Neutral

Which movie you decide to see comes down to who you are going to see the movie with. There really aren’t any bad choices here. There are just more informed choices. A Quiet Place has attracted a young audience of both males and females but women and voters over 29 tend to like it more than the target audience. Ready Player One is a “guy” movie that women don’t seem to mind and older audiences seem to like more than younger audiences. And, Love, Simon is geared towards a young female audience that all ages seem to like. Which movie best fits your demographic footprint and the footprint of whoever is joining you at the movies should lead you to the best decision.

I’m excited about sharing this perspective on a given movie. I’ve already incorporated it into my weekly movie watch list. I’ll be incorporating this movie view into other lists I’ll be creating in the near future. I hope you find the approach useful. If you agree let me know.

 

 

Author: Mad Movie Man

I love good movies. In my prior life I worked with predictive models. I've combined my love of movies with my prior experience to create a simple Bayesian probability model to help select movies that you will probably "really like".

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