In 2023, the average length of the top 10 highest-grossing movies in the United States and Canada amounted to *** minutes (or two hours and ** minutes). This figure is almost ** minutes higher than the average recorded in 2020. "Avatar: The Way of Water" was the longest movie in 2023's top 10, with three hours and ** minutes. The longest film in 1990 was "Ghost" with two hours and seven minutes.

In 2024, a total of 569 movies were released in the United States and Canada, up from 506 in the previous year. Still, these figures are under the 792 titles released in 2019, before the COVID-19 outbreak. Will moviegoers return? The box office revenue in the U.S. and Canada more than tripled between 2020 and 2022, when it reached almost 7.4 billion U.S. dollars. The 2022 result still fell way behind the 11.3-billion-dollar annual revenue recorded just before the pandemic. But there are ways to attract newcomers to the moviegoing experience. During a mid-2022 survey conducted among members of the Generation Z – aged between 13 and 24 years – more than half of respondents mentioned movie offering as a leading motivation to go to the movies. About 40 percent of interviewees included the quality of the service and the physical comfort of the seats at the movie theater among their main incentives. Cinema circuits As the industry tries to reinvent itself for a post-pandemic scenario, the top movie theater chains in North America slowly bounce back. Their financial results improved since the coronavirus outbreak, but when or if they will see figures similar to those recorded before 2020 remains an open question. The leading circuit, AMC Theatres, reported a revenue of more than 2.5 billion dollars in 2021, over twice as much as in the previous year.

IMDb Movies and TV Shows 2024 (Cleaned Version)

This dataset is a cleaned and preprocessed version of the original "IMDb Movies and TV Shows 2024" dataset by asaniczka on Kaggle.

Attribution

• Original dataset: [https://www.kaggle.com/datasets/anandshaw2001/imdb-movies-and-tv-shows)
• Original author: anandshaw2001
• License: Apache 2.0

Usage

This cleaned dataset maintains the same Apache 2.0 license as the original. Please ensure proper attribution when using this data.

Column Details:

Home_Page - The IMDb webpage link for the movie. Movie_Name - Title of the movie or TV show. Genres - List of genres associated with the title. Overview - Brief description of the plot. Cast - List of main actors in the title. Original_Language - List of languages the title was originally made in. Storyline - Detailed plot description. Production_Company - Companies involved in production. Release_Date - Standardized release date in YYYY-MM-DD format. Tagline - Movie or show's promotional tagline. Vote_Average - Average IMDb rating (0-10). Vote_Count - Number of votes received. Budget_USD - Standardized budget in USD (formatted as $Mill/Bill). Revenue_$ - Standardized revenue in USD (formatted as $Mill/Bill). Run_Time_Minutes - Duration in minutes. Release_Country - Country where the title was first released.

In 2024, funding from the Finnish Film Foundation made up ** percent of the average production budget of a feature film in Finland. Other foreign funding accounted for roughly ** percent of the average film production budget, TV and platforms reached ** percent.

IMDb Movies Dataset

Start Date: November 29, 2023

Finish Date: December 1, 2023

This dataset was scraped based on the popularity of IMDb movies (highest to lowest popularity).

There are total 9083 movies in the dataset.

!UNCLEAN VERSION: IMDbMovies

About Features:

Title: The name of the movie.

Summary: A brief overview of the movie's plot.

Director: The person responsible for overseeing the creative aspects of the film.

Writer: The individual who crafted the screenplay and story for the movie.

Main Genres: The primary categories or styles that the movie falls under.

Motion Picture Rating: The age-appropriate classification for viewers.

Motion Picture Rating Categories:

• G (General Audience): Suitable for all ages; no offensive content.

• PG (Parental Guidance): May contain mild language, violence, or thematic elements; parental guidance advised.

• PG-13 (Parents Strongly Cautioned): Some material may be inappropriate for those under 13; more intense violence, language, or suggestive content.

• R (Restricted): Restricted to viewers over 17 or 18; may contain adult themes, strong language, sexual content, or violence.

• NC-17 (Adults Only): Restricted to adults 17 and older; may contain explicit sexual content or graphic violence.

Runtime: The total duration of the movie.

Release Year: The year in which the movie was officially released.

Rating: The average score given to the movie by viewers.

Number of Ratings: The total count of ratings submitted by viewers.

Budget: The estimated cost of producing the movie.

Gross in US & Canada: The total earnings from the movie's screening in the United States and Canada.

Gross worldwide: The overall worldwide earnings of the movie.

Opening Weekend Gross in US & Canada: The amount generated during the initial weekend of the movie's release in the United States and Canada.

!CLEAN VERSION: IMDbMovies-Clean

What I did:

• I keep all missing values. Most of the cases missing values stem from lack of information in the website. There is few cases missing values stem from scraper. For example: Some movies will release in 2024 and there are no runtimes and ratings for these movies.

• I changed the syntax of the 'Runtime', 'Rating', 'Number of Ratings', 'Budget', 'Gross in US & Canada', 'Gross worldwide', and 'Opening Weekend Gross in US & Canada' columns.

• In some cases, I utilized the information from a single column to create two separate columns.

The TMDB (The Movie Database) is a widely-used resource for movie and TV show data, providing valuable information such as ratings, plot summaries, and more.

This dataset contains a collection of 150,000 tv shows from the TMDB database, collected and cleaned.

Dataset will be updated weekly. If you find this dataset valuable, don't forget to leave an upvote 😊❤️

Interesting Task Ideas:

This dataset opens up a wide range of possibilities for data analysts and data scientists. Here are some ideas to get you started:

1. Explore trends in TV show popularity based on vote count and average.
2. Analyze TV show genres to identify the most popular genres or combinations of genres.
3. Investigate the relationship between TV show ratings and the number of seasons and episodes.
4. Build a recommendation system that suggests TV shows based on a user's favorite genres or languages.
5. Predict the success of a TV show based on features like vote count, average, and popularity.
6. Identify the most prolific TV show creators or production companies based on the number of shows they have created.
7. Explore the distribution of TV show run times and investigate whether episode duration affects the overall ratings.
8. Investigate TV show production trends across different countries and networks.
9. Analyze the relationship between TV show language and popularity, and investigate the popularity of non-English shows.
10. Track the status of TV shows (in production or not) and analyze their popularity over time.
11. Develop a language analysis model to identify sentiment or themes from TV show overviews.

Checkout my other datasets

Poverty-Level Wages in the USA Dataset

Health Insurance Coverage in the USA

Median and Avg Hourly Wages in the USA

US Cost of Living Dataset

13K Reddit Tips

Photo by Nicolas J Leclercq on Unsplash

During a survey of children in the United States from 2024 it was found that YouTube dominated their video consumption time. On average, 2-12-year-olds in the country spent *** hour and ** minutes on this video sharing platform. At the same time, kids spent *** hour and ** minutes watching content on TikTok.

2024 saw yet another increase in the number of movies released in India, grossing over *****. Despite a marginal decline in the number of releases, the South Indian language market once again contributed the most number of productions that year.

“Stranger Things” was by far the most expensive Netflix original series as of April 2025, with estimated production costs of around ** million U.S. dollars per episode. “3 Body Problem” and “One Piece” rounded out the top three at ** million and ** million U.S. dollars, respectively. Are the production costs worth it? Original content is one of Netflix's biggest draws and success factors. In addition to acquiring sought-after shows and movies, Netflix has also been dedicating larger budgets to producing and promoting its own content to remain competitive in today's crowded streaming space. In 2024, **** out of the 10 most-watched original streaming series titles in the U.S. were produced by Netflix, with the romance series “Bridgerton” amassing the most viewing minutes. Netflix originals are critically acclaimed Netflix's original content has proven successful with audiences but also with critics. Over the past few years, more Netflix titles have received nominations for the world's most acclaimed award ceremonies than ever before, proving that cinematic excellence is not necessarily tied to cinematic releases. Netflix scored an impressive ** nominations at the 2025 Golden Globe Awards while also boasting the most Golden Globe wins among all film distributors that year.