“NFL Sunday Night Football” was the most watched TV show in the United States in the 2023/2024 season, with roughly **** million viewers. “NFL Monday Night Football” ranked second with approximately ** million viewers. NFL sports broadcasts score high with viewers Football matches and other live sports events have always attracted impressive audiences in the United States, and this popularity also extends to their television broadcasts. In 2023, the Super Bowl LVII was the top primetime telecast in the U.S., drawing nearly *** million viewers to their screens. Furthermore, none of the 10 most successful primetime programs were not football-related, explaining why 30-second advertising slots during the Super Bowl cost an average of ***** million U.S. dollars. Most popular TV networks NBC was the leading ad-supported television network in the United States, with an average viewership of around **** million viewers in 2023. One of its most popular shows during the 2023/2024 season included “Chicago Fire,” a drama that has been on the air for many years. The only other network to surpass **** million viewers in 2023 was CBS, which aired “NCIS” as one of its most successful fictional series.

This table contains 84 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Signal source (7 items: Total, signal sources;Canadian conventional stations;Canadian pay television and specialty services;Videocassette recorder (VCR); ...), Content of programme (4 items: Total television programmes, Canadian, foreign and unknown origin;Canadian television programmes;Foreign television programmes;Unknown origin of television programmes)

Although ** percent of the U.S. population in 2019 was Hispanic or Latino, only **** percent of regular talent performing in debut TV shows were from this demographic. Comparing the size of racial and ethnic minorities in the United States population to the casts of television series, talent from American Indian, Alaskan Native, Native Hawaiian and Pacific Islander were all underrepresented.

Methodology Every Tuesday, we publish four global Top 10 lists for films and TV: Film (English), TV (English), Film (Non-English), and TV (Non-English). These lists rank titles based on ‘views’ for each title from Monday to Sunday of the previous week. We define views for a title as the total hours viewed divided by the total runtime. Values are rounded to 100,000.

We consider each season of a series and each film on their own, so you might see both Stranger Things seasons 2 and 3 in the Top 10. Because titles sometimes move in and out of the Top 10, we also show the total number of weeks that a season of a series or film has spent on the list.

To give you a sense of what people are watching around the world, we also publish Top 10 lists for nearly 100 countries and territories (the same locations where there are Top 10 rows on Netflix). Country lists are also ranked by views.

Finally, we provide a list of the Top 10 most popular Netflix films and TV overall (branded Netflix in any country) in each of the four categories based on the views of each title in its first 91 days.

Some TV shows have multiple premiere dates, whether weekly or in parts, and therefore the runtime increases over time. For the weekly lists, we show the views based on the total hours viewed during the week divided by the total runtime available at the end of the week. On the Most Popular List, we wait until all episodes have premiered, so you see the views of the entire season. For titles that are Netflix branded in some countries but not others, we still include all of the hours viewed.

Information on the site starts from June 28, 2021 and any lists published before June 20, 2023 are ranked by hours viewed.

This statistic illustrates the share of Americans who watched reality tv shows online or on TV. As of **************, ** percent of ******* year old consumers do so in the U.S. This is according to exclusive results from the Consumer Insights Global survey which shows that ** percent of ******* year old customers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

This table contains 117 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Content of programme (3 items: Total, all television programmes, Canadian and foreign;Canadian television programmes;Foreign television programmes), Type of programme (13 items: Total, all types of television programmes;News and public affairs;Documentary;Academic instruction; ...).

Datasys Title-Level Audiences deliver granular viewership insights tied to specific TV shows and streaming titles. Covering 25M+ viewers across major platforms, this dataset helps marketers identify engaged fan bases, measure show-specific reach, and target audiences based on their actual content consumption. Updated weekly, it supports precision targeting and competitive media analysis.

Simpsons TV Show Dataset

The Simpson TV Show: Characters, Episodes, and More

By Gove Allen [source]

About this dataset

The Simpsons Dataset is an extensive collection of information about the iconic animated television series, The Simpsons. Curated by IMDB.com, this dataset serves as a valuable resource for teaching SQL to college students. It encompasses various categories like characters, episodes, and other notable aspects related to the popular TV show.

This dataset offers a comprehensive view of the beloved characters that have become synonymous with The Simpsons franchise. Students can explore information such as character names, their corresponding genders, and even their occupation within the fictional town of Springfield.

Additionally, this dataset provides detailed insights into each episode of The Simpsons. From episode titles to airdate information, students can discover fascinating facts about all the episodes that have graced our screens over the years. This includes in-depth details such as the season number and episode number each installment belongs to.

Furthermore, this dataset delves into other interesting aspects related to The Simpsons universe. It includes data on voice actors who bring these animated characters to life with their distinctive voices. Additionally, it provides information on guest stars who have made memorable appearances throughout various seasons.

By utilizing this dataset for educational purposes in SQL classes, students can gain hands-on experience working with complex datasets while immersing themselves in one of television's most enduring and beloved shows.

How to use the dataset

Exploring Character Information

The dataset contains a wide range of information about different characters from The Simpsons. Some key columns that will be useful for analyzing character data include:

• id: A unique identifier for each character in the dataset.
• name: The name of the character.
• gender: The gender of the character (usually Male or Female).
• occupation: The occupation or role of the character within the show.
• hair_color: The color of the character's hair.
• eye_color: The color of the character's eyes.

With these columns, you can perform various analyses such as finding out which occupation category has appeared most frequently, determining gender ratios among characters, comparing hair and eye colors across different demographics, and much more.

Analyzing Episode Details

The dataset also provides extensive information about individual episodes from The Simpsons. Some key columns related to episode details include:

• episode_id: A unique identifier for each episode in the dataset.
• title: The title or name given to that particular episode.
• original_air_date : Original air date (Provided we had dates.) - Unfortunately missing on our description Nevertheless IMDB link would be available

These details enable you to explore various aspects related to episodes including their order within seasons, titles patterns , average ratings IMDb.com have assigned*-* Missing info,but normally available at IMDB
(*Note: Ratings data may not be provided in this specific dataset).
Also connect with random fanatics oversight at IMDb URL

Linking Characters to Episodes

One of the most interesting aspects of this dataset is linking characters to episodes. Some key columns that help you establish these connections include:

• id: A unique identifier for each character in the dataset.
• episode_id: A unique identifier for each episode in the dataset.

By analyzing these columns, you can determine which characters appear in which episodes and analyze their overall presence or frequency within the show. This allows you to create interesting visualizations or run queries to find out details like which character has appeared in the most episodes, which episode features a particular character, and much more.

Overall, this Simpsons TV

Research Ideas

• Analyzing character interactions: The dataset can be used to analyze the relationships and interactions between different characters in The Simpsons. By examining which characters frequently appear together or share storylines, researchers can gain insights into the dynamics of the show and how different characters contribute to the overall narrative.
• Studying episode characteristics: The dataset provides various attributes about each episode, such as its title, air date, rating, and number of viewers. Researchers can utili...

In 2024, TV consumption in the United States was highest among African Americans and Black people, who watched an average of **** hours of TV each day. At the same time, the viewing time dropped among Asian Americans to under *** hours TV and streaming engagement among racial groups As of mid 2022, The U.S. population still spent most of their time watching TV and streaming content on traditional media, such as cable and broadcast. Roughly ** percent of their viewing time was allocated to streaming. It was also observed that Hispanics were more likely to use online video platforms than any other ethnic group, with a viewing time share of over ** percent. By contrast, using streaming services accounted for around ****third of the total viewing time among white and Asian consumers. Traditional TV vs. digital video The way consumers watch TV shows and movies has changed significantly. A forecast showed that traditional TV consumption among Americans will continue to steadily decline in the upcoming years. Meanwhile, with an increasing number of consumers adopting streaming and social videos, digital video soars, outpacing TV viewing time by the end of 2023.

This dataset provides a comprehensive overview of the top 250 television shows listed on IMDB. It offers insights into various aspects of these shows, including their titles, the years they aired, the total number of episodes in each series, the age rating assigned to each show, the average user rating on IMDB, the number of votes each show has received, and the category of the show (either a TV Series or a TV Mini-Series).

The dataset is particularly useful for understanding audience preferences and trends in the television industry. For instance, the ratings and vote counts can reveal which shows are most popular among viewers, while the distribution of categories can shed light on the relative popularity of different types of television shows. Additionally, the year of release can be used to analyze trends in television production over time.

The majority of viewers in the United States considered *** hour to be the ideal length for a TV show, according to a survey conducted in *************. More precisely, the majority of the U.S. population aged 35 and older preferred this length for a TV show, whilst the preference was highest among respondents aged 65 and older. Almost ********** of respondents in this age group chose this option. However, viewers aged 18 to 34 years favored a length of between ** minutes and ** minutes.

The World Series television ratings dataset contains data on the number of people who watched the World Series, a yearly baseball championship series, on television. This dataset can be used to analyze the popularity and reach of the World Series. It may be of interest to researchers, advertisers, and television networks seeking to understand the popularity and reach of major sporting events.

Tabular data includes:

• year
• network
• average_audience
• game_1_audience
• game_2_audience
• game_3_audience
• game_4_audience
• game_5_audience
• game_6_audience
• game_7_audience
• total_games_played
• winning_team
• losing_team
• losing_team_wins

This table contains 390 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador;Prince Edward Island;Nova Scotia;New Brunswick; ...), Content of programme (3 items: Total, all television programmes, Canadian and foreign;Canadian television programmes;Foreign television programmes), Type of programme (13 items: Total, all types of television programmes;News and public affairs;Documentary;Academic instruction; ...).

Each spreadsheet in the Excel file corresponds to one of the tested episodes and contains minute-by-minute values Twitter volume (raw), TV viewership (raw), and EEG metrics (pre-processed) associated with Attention, Motivation, and Memory, as well as the composite EEG metric (the average of the other three metrics). Ad breaks and missing values are indicated in the Notes field on each spreadsheet. (XLSX)

*Also find Metacritic Games and Metacritic Movies datasets.*

Metacritic TV Shows and Reviews Dataset

This dataset contains a collection of tv shows and their corresponding reviews from Metacritic, a popular aggregate review site. The data provides insights into various tv shows. Each tv show entry includes critical reviews, user reviews, ratings, and other relevant information that can be used for analysis, natural language processing, machine learning, and predictive modeling.

Important Note: *The tv shows in this collection are selected from Metacritic's Best TV Shows of All Time list, which only includes titles that have received at least 7 reviews, ensuring a minimum level of critical and user input.*

Up-to-dateness: *This dataset is accurate as of March 14, 2025, and includes the most current rankings and tv show details available at that time.*

Content

The dataset contains general information and scores of 3K+ tv shows and their corresponding 96K+ user/critic reviews collected by sending automated requests to Metacritic's public backend API using Python's requests and pandas libraries.

Potential Uses

• Sentiment analysis and natural language processing on reviews.
• Predictive modeling for predicting user ratings based on features like genre, number of seasons, director, and cast.
• Data analysis on trends in tv show quality, genres, or cast performance.
• Comparing critical reviews and user reviews to understand the divergence in ratings.

This dataset is perfect for researchers, tv enthusiasts, and data scientists who are interested in exploring the tv industry through data analysis.

Acknowledgements

• The datasets are scraped from metacritic.com
  
• The code for scraping the dataset can be found on my GitHub repository

This table contains 84 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Signal source (7 items: Total, signal sources;Canadian conventional stations;Canadian pay television and specialty services;Videocassette recorder (VCR); ...), Content of programme (4 items: Total television programmes, Canadian, foreign and unknown origin;Canadian television programmes;Foreign television programmes;Unknown origin of television programmes)

Television viewing time of all television stations, by viewer demographic characteristics, content and type of programme, Canada

Regression results predicting TV viewership and Twitter volume.

This statistic shows the results of a survey on the share of viewers of the American TV sitcom Friends broken down by age group in Great Britain in 2018. Among respondents aged between 18 and 24, 45 percent stated to have watched either most or all episodes, whereas more than half of those aged over 55 years stated to not have seen any episode at all.