Data Facts of Best Netflix Movies
Ma Li
Mar 4, 2025
Netflix has become a powerhouse in the world of streaming, offering a diverse library of movies that spans blockbuster hits, critically acclaimed originals, and hidden gems from around the globe. Whether you’re into action-packed thrillers, heartwarming dramas, or thought-provoking documentaries, Netflix has something for every mood.
In today’s blog, we’re diving into the data behind Netflix movies to uncover the best films in Netflix history, the most popular genres, and more intriguing insights.
A Little Background Info
The dataset used for analysis is downloaded from Kaggle (the dataset provides two .csv files. In this example, only the movie data file is used.) The AI data analysis tool used is Powerdrill.
Key Takeaways
Netflix releases 83 movies per month.
Year 2017 had the highest total revenue, while year 2020 had the lowest.
Animation, History, War are the top 3 genres with the highest average vote ratings.
The United States contributes the most to the total revenue of movies, followed by United Kingdom and China.
The “Beatles: Eight Days a Week — The Touring Years” has the highest revenue-to-budget ratio.
Drama is the top genre.
Top 20 Revenue Movies in Netflix’s history.
Netflix releases 83 movies per month
Visualization
Line Chart: A line chart was used to visualize the monthly trend of movies added to Netflix from 2010 to 2025.
Statistics: The average number of movies added per month is approximately 83.33, with a standard deviation of 38.57. The minimum and maximum monthly counts are 5 and 396, respectively.
Pattern Observation: There is a noticeable spike in the number of movies added around 2025, indicating a significant increase during that period.
Conclusion and Insights
Consistent Pattern: From 2010 to 2024, the number of movies added each month shows a relatively consistent pattern with some fluctuations.
Significant Increase: A sharp increase in the number of movies added is observed around 2025, suggesting a potential strategic change or event influencing content addition.
Year 2017 had the highest total revenue, while year 2020 had the lowest
Year with the Highest Revenue: The year 2017 had the highest total revenue, amounting to $32,772,352,432.
Year with the Lowest Revenue: The year 2020 had the lowest total revenue, with a total of $6,009,645,420.
Visualization
Top Movie: "Star Wars: The Last Jedi" leads the chart with the highest revenue.
High Revenue Movies: Other top earners include "Beauty and the Beast," "The Fate of the Furious," and "Despicable Me 3."
Diverse Genres: The list includes a mix of genres such as adventure, fantasy, action, and animation.
Conclusion and Insights
Revenue Leaders: The visualization highlights the dominance of blockbuster franchises in 2017.
Genre Variety: The diversity in genres suggests a wide audience appeal for high-revenue movies.
Animation, History, War are the top 3 genres with the highest average vote ratings
Bar Chart Representation
Genres: The chart displays the top 10 movie genres with the highest average ratings.
Average Ratings: The y-axis represents the average ratings for each genre, with values ranging from approximately 6.16 to 6.74.
Top Genres: The genres include Animation, History, War, Music, Family, Fantasy, Adventure, TV Movie, Crime, and Drama.
Conclusion and Insights
Highest Rated Genre: Animation has the highest average rating among the top 10 genres.
Rating Range: The average ratings for these genres are closely clustered, indicating a narrow range of high ratings.
The United States contributes the most to the total revenue of movies, followed by United Kingdom and China
Revenue Analysis by Country
Top Contributor: The United States of America leads significantly with a total revenue of 332,408,358,602.
Other Major Contributors: The United Kingdom and China follow with revenues of 47,169,770,585 and 36,660,158,591, respectively.
Additional Contributors: Canada and Japan also contribute notably with revenues of 16,895,581,136 and 16,777,564,914.
Visualization of Revenue Contribution
Dominant Country: The bar chart clearly shows the United States of America as the dominant contributor to Netflix’s total movie revenue.
Revenue Distribution: Other countries contribute significantly less, with a steep drop-off after the top few contributors.
Conclusion and Insights
Key Insight: The United States of America is the primary driver of Netflix’s movie revenue, far surpassing other countries.
Revenue Concentration: A small number of countries contribute the majority of the revenue, indicating a concentrated market presence.
The Beatles: Eight Days a Week — The Touring Years has the highest revenue-to-budget ratio
Top 10 Movies with Highest Revenue-to-Budget Ratio:
The Beatles: Eight Days a Week — The Touring Years: 2,456,760.0
No Dogs or Italians Allowed: 279,184.4
Scrapper: 14,696.23
The Good Neighbor: 903.90
Animal World: 559.09
Mr. Six: 556.77
One Cut of the Dead: 526.47
Secret Superstar: 480.00
The Gallows: 429.64
Freaks: 184.21
Drama is the top genre
In the past 15 years, Drama is the top genre, no matter in total or in each single year.
In the past 15 years (excluding 2025), Netflix has released 6910 Drama movies in total. It also maintains its position as the top genre every year within the specified period, indicating a strong and consistent preference or production trend in this genre.
Top 20 Revenue Movies in Netflix’s history
Visualization
Highest Revenue Movie: “Avengers: Endgame” with a revenue of 2,799,439,100
Second Highest: “Avatar: The Way of Water” with a revenue of 2,320,250,281
Third Highest: “Star Wars: The Force Awakens” with a revenue of 2,068,223,624
Other Notable Movies: Include “Avengers: Infinity War”, “Ne Zha 2”, “Spider-Man: No Way Home”, and more, with revenues ranging from approximately 1.33 billion to 2.05 billion.
Conclusion and Insights
Top Earners: “Avengers: Endgame” leads the list, followed closely by "Avatar: The Way of Water".
Diverse Genres: The list includes a mix of superhero, animated, and sci-fi movies, indicating a broad appeal across different audiences.
Conclusion
Wanna to know more? Download the dataset from Kaggle, upload it to Powerdrill, and start your data exploration today!
This blog is originally published at https://medium.com/@powerdrillai/.
