This dataset is packed with information on over 2500 television shows!

Dive deep and explore details like:

• Show Type: Discover the television landscape with a breakdown of scripted, reality, and other show categories.
• Language: Find out what primary language each show is made for.
• Network Affiliations:Explore the networks that bring your favorite shows to life.
• Ratings: Gauge audience reception with average ratings.
• Scheduling: Plan your viewing experience with data on broadcast days and times.

Beyond the Basics:

This dataset offers a wealth of additional information for each show, including:

• Summary: Text summary of the TV show.
• Schedule Details: See the specific days and times that shows air.
• Number of Seasons & Episodes: Track the length of each show's run.
• Links: Find official websites for some shows.

Possible Uses:

This dataset is a valuable resource for:

• Recommendation Systems: Craft personalized TV suggestions based on user preferences.
• Trend Analysis: Identify patterns and changes in television programming over time.
• Data Exploration: Dive into the world of television data and uncover fascinating insights.

The number of TV viewers in the 'Traditional TV & Home Video' segment of the media market worldwide was modeled to stand at ************ users in 2024. Following a continuous upward trend, the number of TV viewers has risen by *********** users since 2017. Between 2024 and 2030, the number of TV viewers will rise by *********** users, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Traditional TV & Home Video.

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)

The graph shows the share of monthly online TV viewers among the adult audience in the United States as of spring 2017, sorted by age group. In that year, ** percent of monthly online TV viewers were aged 25 to 34.

Results from a survey on consumer consumption of streaming services in the United States in February 2020 revealed Millennials to be the least likely to watch IMDB TV, as only three percent of those surveyed had used the channel in the past 12 months. Consumption was low across all generations, with under 10 percent of each group having used IMDB TV in the last year.

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; ...).

A survey conducted in the United States in 2023 revealed that most CTV viewers were between the ages of 18 and 34 years, with nearly ********** of respondents using these devices on a daily basis. Meanwhile, ** percent of people aged over 55 years watched videos via connected TVs every day.

The Daytona 500's average TV audience has declined since 2006, with weather-related disruption becoming a recurring theme in recent years. In 2024, the event's average TV audience amounted to 5.96 million viewers, representing a decrease of around 27 percent on the previous year.

This dataset features the top 2,000 highest-rated web and TV series from TMDB, along with the key details like titles, genres, ratings, votes, etc. It’s a simple, clean collection for exploring TV trends, understanding audience ratings, or running quick analysis projects.

The file contains 11 columns : - id – Unique numeric identifier for each series. - title – International or primary title of the series. - original_title – Title in the original language. - overview – Short description or summary of the series. - premiere_date – First air date in YYYY-MM-DD format. - popularity – TMDB popularity score. - genre – Comma-separated list of genres. - country_origin – Country where the series was produced. - original_language – Original spoken language. - rating – Average user rating (0–10 scale). - votes – Total number of user votes.

This table contains 156 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 (13 items: Canada;Newfoundland and Labrador;Prince Edward Island;Nova Scotia; ...), Sex (2 items: Males;Females), Age group (6 items: 18 years and over;18 to 24 years;25 to 34 years;35 to 49 years; ...).

This dataset compiles details of the top 250 television shows as ranked on IMDb (Internet Movie Database) as of March 2025. It captures the highest-rated TV series based on user votes, offering insights into popular and critically acclaimed shows. The dataset includes the following columns:

• TV Show Names: The title of the television series.
• Ratings: The IMDb rating (out of 10) based on user votes.
• Year: The range of years the show aired (e.g., 2010-2015) or the debut year, depending on your data format.
• Episodes: The total number of episodes in the series.
• Show Rating: The content rating (e.g., TV-PG, TV-14, TV-MA) indicating the recommended audience age or content suitability.

Purpose:

This dataset is perfect for TV enthusiasts, data analysts, and researchers looking to explore trends in television, such as the correlation between ratings and episode count, the evolution of show popularity over time, or the distribution of content ratings. It’s suitable for data visualization, statistical modeling, or developing recommendation engines.

This dataset presents a summary of television viewing and ownership data contained in the 2014 Communications Monitoring Report.

Interested in reaching lovers of a certain show or connecting with multicultural audiences? Stirista’s TV viewership data, identity linkage data, consumer marketing data, audience data, and prospect data gives you the most complete and accurate audience data segments for the most popular shows.

As THE ONLY company that combines CTV+Email, our solutions are designed to maximize brand recall and drive engagement. Just imagine the power of driving an initial impression through CTV and then following up with targeted ads via email.

What are the benefits of using our TV viewership data, identity linkage data, consumer marketing data, audience data, and prospect data?

1. Stirista compiles a list of the top performing shows in the United States and gathers viewership data in real time to give a centralized profile of pre-built audiences that you can choose from and market to on other channels.

2. Understand your customer better by leveraging Stirista’s pre-built audience. data segments to target viewers of top performing shows and create campaigns that drive higher conversion rates for your products or services.

3. Take advantage of Stirista’s industry-leading analytics and granular TV viewership data and connected TV data insights to quickly and easily target specific shows or segments and get your campaigns up and running fast.

Improve the effectiveness of your campaigns by leveraging Stirista ’s TV viewership data, identity linkage data, consumer marketing data, audience data, and prospect data to access and understand viewers’ interests, preferences, purchase habits, and much more.

Not interested in using the data for campaigns? We can also license the raw data or build custom audiences for prospect data based on the client's needs.

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.

Datasys Genre Viewership tracks connected TV audiences across 50M+ U.S. households, segmented by show type including sports, drama, comedy, news, and more. This dataset enables advertisers to align campaigns with audience entertainment preferences, measure content engagement, and identify shifts in genre popularity. Weekly updates ensure fresh visibility into evolving TV viewing habits.

*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

The number of TV viewers in the 'Traditional TV & Home Video' segment of the media market in Europe was modeled to stand at ************** users in 2024. Following a continuous upward trend, the number of TV viewers has risen by ************ users since 2017. Between 2024 and 2030, the number of TV viewers will rise by ************ users, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Traditional TV & Home Video.

In 2024, it was found that almost **** percent of Germans aged 14 years and older watched television, down from ** percent the previous year.

This graph depicts the percentage of U.S. households viewing public television in the United States from 1999 to 2013. In 2003, 47 percent of U.S. households viewed public television.

How many Italians watch TV? From 2006 to 2023, the number of individuals watching television in Italy fluctuated. According to the data, the number of TV viewers amounted to approximately 53.4 million in 2006. Subsequently, this figure dropped to roughly 50.75 million viewers in 2023. However, the peak of Italian TV viewers was reached in 2010 and 2011, at over 54.5 million. The Italian TV audience is not particularly young When looking at the profile of TV viewers in Italy, data revealed that the television’s audience was not particularly young. In fact, most individuals watching TV in Italy were aged between 45 and 54 as of 2021. On the other hand, people aged between 18 and 19 represented the smallest group. Furthermore, when considering the occupational status of Italian TV consumers, data showed that retired people, as well as middle management and white-collar employees represented the largest group that year. Most Italian TV watchers come from the North-West of Italy When breaking down Italian TV audience by macro-area of origin, it can be noticed that most viewers lived in the North-West in 2021. Specifically, the North-West region of Lombardy registered the highest number of individuals watching television in Italy. In fact, more than a half of viewers from the North-West came from this specific region. However, it is also worth remembering that Lombardy is by far the most populous region in the country.