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 statistic shows data on the popularity of reality TV genres in the United States as of September 2016, by gender. During the survey, eleven percent of female respondents stated they watched dating reality TV shows.

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.

HBO and HBO Max Content Dataset

Genres, Ratings, and Platforms of HBO and HBO Max TV Shows and Movies

By Hunter Kempf [source]

About this dataset

The dataset HBO Content provides comprehensive information on the TV shows and movies available on HBO and HBO Max. It contains details about various aspects of the content, such as the title, type (whether it's a TV show or a movie), year of release, rating (indicating appropriate age group), IMDb score (a measure of popularity and quality), rotten_score (if available), decade (the decade in which the content was released), and IMDb score bucket (categorizing popularity range).

Additionally, it includes binary values indicating whether the content belongs to specific genres such as Action/Adventure, Animation, Biography, Children, Comedy Crime, Cult Documentary Drama Family Fantasy Food Game Show History Horror Independent LGBTQ Musical Mystery Reality Romance Science Fiction Sport Stand-up/Talk Thriller Travel. These genre indicators allow users to filter content based on their preferences.

The dataset also provides information about various platforms where the content can be accessed. These platforms include Acorntv Amazon Prime Cinemax Epix Fandor Free Fubo TV HBO HBO Max Hoopla Hulu Plus Kanopy Netflix Shout Factory TV Sundance Now Syfy TV Everywhere TLC Go Viceland TV Everywere Adult Swim TV Everywhere AMC AMC Premiere BBC America TVE BritBox Cartoon Network CBS All Access Comedy Central TVE Criterion Channel Crunchyroll Premium CuriosityStream DC Universe Funimation NBC TVEverywhere Showtime Shudder Starz TNT truTV TVEverywhere Urban Movie Channel Velocity Go Watch TCM and TBS.

The availability of each platform is indicated by binary values for each platform column. If a value is 1 (true) for a particular platform column, it means that the content is available on that platform.

This comprehensive dataset captures vital information about HBO's extensive library of TV shows and movies. It not only helps users discover content according to their preferred genres but also allows them to determine which platforms offer access to their desired titles. The IMDb score and rating further aid in making informed decisions about the popularity and appropriateness of the content

How to use the dataset

• Understanding the Columns: Familiarize yourself with the columns in the dataset to comprehend what each column represents. The column names are self-explanatory and provide information about various aspects of the content like title, type (TV show or movie), year of release, rating, IMDb score, rotten score (if available), decade it belongs to, genres it falls into (like Action/Adventure or Drama), and platforms where it can be accessed.

• Exploring Genres: The dataset includes several genre-related columns such as genres_Action_Adventure, genres_Drama,, genres_Thriller etc. You can analyze these columns to identify trends in popular genres among HBO and HBO Max content.

• Genre-based Filtering: If you're interested in a specific genre such as Action/Adventure or Documentary content available on these platforms, you can use boolean filtering by selecting rows that have values set for corresponding genre columns.

• Platform Availability: The dataset provides information about which platforms offer access to each content item through various platform-related columns like platforms_hbo_max ,platforms_netflix etc.). You can filter data based on platform availability if you only want to explore shows or movies accessible through certain platforms.

• Ratings Analysis: Use the rating column for analyzing content suitable for specific age groups or audience preferences.

• IMDb Scores: The imdb_score column contains IMDb ratings ranging from 0-10 for each TV show/movie included in this dataset. You can analyze this field across different dimensions like average scores per genre/platform/year etc., identify highly-rated titles within specific categories using boolean filtering.

• Data Visualization: Visualize the dataset using charts or graphs to gain insights visually and interpret trends more effectively. You can create bar charts, pie charts, scatter plots, line graphs, or any other visualization technique that suits your analysis requirements.

• Combining Datasets: If you have similar datasets from other platforms or services like Netflix or Amazon Prime Video, you can combine them with this dataset to perform comparative analyses across different streaming platforms.

• Predictive Analysis: Use various machine learning algorithms such as regression models, classification models, or clustering algorithms to explore patterns and pred...

We collected votes (from 1 to 10 stars) for all movies, excluding TV episodes (total number of 336,090,882 votes for 300,723 movies), from March 19 to 28, 2013 (set # 1). Using the same list of movies, we collected the number of votes again from December 8 to 18, 2014 (set #2, 465,292,451 votes) and from January 5 to 10, 2015 (set # 3, 471,222,420), as shown in (Fig 10). For budgets, we use a new list and collected data from February 5 to 8, 2015. Results with fewer than 5 votes (in 2013) are not exhibited. Number of items by type: 33,941 (Documentary) 133,775 (Feature Film) 3,172 (Mini-Series) 50,408 (Short Film) 1,071 (TV Episode) 25,168 (TV Movie) 33,165 (TV Series) 2,450 (TV Special) 12,120 (Video) 5,453 (Video Game) By genre: 24,911 (Action); 93 (Adult); 15,651 (Adventure); 18,918 (Animation); 5,385 (Biography); 74,393 (Comedy); 18,693 (Crime); 37,250 (Documentary); 97,087 (Drama); 16,022 (Family); 8,677 (Fantasy); 567 (Film Noir); 1,575 (Game Show); 5,525 (History); 15,072 (Horror); 10,212 (Music); 5,840 (Musical); 8,170 (Mystery); 1,036 (News); 3,605 (Reality TV); 21,165 (Romance); 8,239 (Sci-Fi); 61,538 (Short); 4,360 (Sport); 1,467 (Talk Show); 16,246 (Thriller); 5,080 (War); 4,549 (Western). An item could be defined by more the one genre. As a final observation, it is possible for a user to remove his or her vote; as a consequence, a small fraction of movies have a decreasing number of votes. However, this represents a negligible fraction of the movies. We used the following list: http://www.imdb.com/search/title?title_type=feature,tv_movie,tv_series,tv_special,mini_series,documentary,game,short,video,unknown&user_rating=1.0,10. (ZIP)

The statistic shows the viewership frequency of 'The Voice' in the United States as of May 2018. During the survey, ** percent of respondents stated that they watched every episode of 'The Voice'.

Dragons' Den dataset of UK/British TV programm, business reality television series. Currently, the data set has information from United Kingdom Dragons' Den series 1 to series 22. The dataset has 56 fields and 1460+ rows.

• Season Number - Season number
• Episode Number - Episode number within the season
• Startup Name - Company name or product name, at the time of pitch
• Pitch Number - Overall pitch number
• Season Start - Season first aired date
• Season End - Season last aired date
• Original Air Date - Episode original/first aired date, on OTT/TV
• Industry - Industry name or type
• Business Description - Business Description
• Company Website - Website of startup/company
• UK Viewership - Viewership in UK, TRP rating, in millions
• Channel Name - Channel or network name
• Pitchers Gender - Gender of pitchers
• Pitchers Average Age - Average age of all pitchers, <30 young, 30-50 middle, >50 old
• Pitchers City - UK city of pitchers or place where company head office exists
• Pitchers State - UK state or country of pitchers where company head office exists
• Entrepreneur Names - Pitcher names
• Multiple Entrepreneurs - Multiple entrepreneurs are present ? 1-yes, 0-no
• Original Ask Amount - Original Ask Amount, in GBP
• Original Offered Equity - Original Offered Equity, in percentages
• Valuation Requested - Valuation Requested, in GBP
• Received Offer - Received offer or not, 1-received, 0-not received
• Accepted Offer - Accepted offer or not, 1-accepted, 0-rejected
• Deal Successful - Deal Successful/materialized or not, 1-yes, 0-no
• Total Deal Amount - Total Deal Amount, in GBP, including debt/loan amount
• Total Deal Equity - Total Deal Equity, in percentages
• Deal Valuation - Deal Valuation, in GBP
• Number of Dragons in Deal - Number of Dragons in deal
• Investment Amount Per Dragon - Investment Amount Per Dragon
• Equity Per Dragon - Equity received by each Dragon
• Royalty Deal - Is it royalty deal or not (1-yes)
• Advisory Shares Equity - Deal with Advisory shares or equity, in percentages
• Loan - Loan/debt (line of credit) amount given by Dragons, in GBP
• Deal Has Conditions - Deal has conditions or not? (yes or no)
• Peter Jones Investment Amount - Amount Invested by Peter Jones
• Peter Jones Investment Equity - Equity received by Peter Jones
• Deborah Meaden Investment Amount - Amount Invested by Deborah Meaden
• Deborah Meaden Investment Equity - Equity received by Deborah Meaden
• Duncan Bannatyne Investment Amount - Amount Invested by Duncan Bannatyne
• Duncan Bannatyne Investment Equity - Equity received by Duncan Bannatyne
• Theo Paphitis Investment Amount - Amount Invested by Theo Paphitis
• Theo Paphitis Investment Equity - Equity received by Theo Paphitis
• Touker Suleyman Investment Amount - Amount Invested by Touker Suleyman
• Touker Suleyman Investment Equity - Equity received by Touker Suleyman
• Sara Davies Investment Amount - Amount Invested by Sara Davies
• Sara Davies Investment Equity - Equity received by Sara Davies
• Guest Investment Amount - Amount Invested by Guests
• Guest Investment Equity - Equity received by Guests
• Invested Guest Name - Name of Guest Dragon(s), if invested in deal
• Peter Jones Present - Whether Peter Jones present in episode or not
• Deborah Meaden Present - Whether Deborah Meaden present in episode or not
• Duncan Bannatyne Present - Whether Duncan Bannatyne present in episode or not
• Theo Paphitis Present - Whether Theo Paphitis present in episode or not
• Touker Suleyman Present - Whether Touker Suleyman present in episode or not
• Sara Davies Present - Whether Sara Davies present in episode or not
• Guest Present - Whether Guest(s) present in episode or not

This paper explores the impact of the introduction of the widely viewed MTV reality show 16 and Pregnant on teen childbearing. Our main analysis relates geographic variation in changes in teen childbearing rates to viewership of the show. We implement an instrumental variables (IV) strategy using local area MTV ratings data from a pre-period to predict local area 16 and Pregnant ratings. The results imply that this show led to a 4.3 percent reduction in teen births. An examination of Google Trends and Twitter data suggest that the show led to increased interest in contraceptive use and abortion. (JEL D12, J13, J16, L82, Z13)

Context

I originally cleaned Netflix Movie Ratings from the Netflix Prize competition data to be used for a collaborative filtering algorithm, but I wanted a way to add distinctions between movies. To do this, I combined the Netflix titles with @ Ashirwad's IMDb dataset which includes genres and other metadata for million of movies, videogames, and other media (and is continually updated!). The notebook documenting my work can be found here.

genres.csv

• There are 10571 movies listed. The original Netflix dataset contains 17770 titles, but due to lack of information and problems with duplicate records, some titles had to be removed.
• MovieId correlates to the MovieIds used in the Netflix Ratings Dataset (linked above).
• titleType is the type of media that IMDb considers the title. Mostly they are listed under 'movie', but some carry other types such as short, tvEpisode, etc.
• The genre information is encoded using one hot encoding. I made this dataset with the intention of using it for machine learning, so I converted the categorical data into numerical form. A 1 indicates True, or a movie is a part of that genre, while 0 indicates False.
• The list of genres: ['Action', 'Adult', 'Adventure', 'Animation', 'Biography', 'Comedy', 'Crime', 'Documentary', 'Drama', 'Family', 'Fantasy', 'Film-Noir', 'Game-Show', 'History', 'Horror', 'Music', 'Musical', 'Mystery', 'News', 'Reality-TV', 'Romance', 'Sci-Fi', 'Short', 'Sport', 'Talk-Show', 'Thriller', 'War', 'Western']
• The 'isAdult' column signifies when a movie is considered for adult audiences only.

About the Author

I'm Evan Schreiner, a Computer Science undergrad at the University of Missouri. I am currently also making lessons and resources for students learning Data Science at Washington University in St. Louis. To get in contact with me, check out my LinkedIn page here. I'm working with Professor Ron Cytron, and this work received financial support for Responsible Computer Science from Mozilla.

The reality show "M jak milosc" was the most viewed entertainment series on TV in Poland in 2024, with an average viewership of 2.73 million. Next was "Na dobre i na złe", and "Matylda", with 2.14 million and 1.94 million average viewers, respectively.

In May 2020, Supervivientes, the Spanish version of the reality competition Survivor, led the list of most-watched broadcasts in Spain with **** million viewers. Nonetheless, Football games usually hold the top positions of audience rankings in the Mediterranean country. When looking at the annual audience list, for example, ten football game broadcasts could be found in 2018. This is partly due to the FIFA World Cup that took place that year.

Spanish television viewers

In 2013, Spaniards watched television for about *** minutes, while in 2018 the time spent watching TV reached a low of ***** minutes. The Spanish television audience saw a downward trend over the past 20 years, presumably due to the introduction of the new media devices such as smartphones.

Television and advertising

Television’s advertising expenditure registered approximately **** billion euros in 2017 and was expected to reach figures of nearly *** billion euros in 2019. The revenues generated by radio and television experienced however a drop over the last years, registering *** billion euros down from almost *** billion euros cashed in 2009.

How much impact has the coronavirus outbreak on TV audience in Norway? According to the most recent data from March 13 to 14, 2020, the "Alle mot 1" show had the largest increase in television viewers among entertainment broadcasts in Norway. The show recorded 261 thousand more viewers than for the episode the previous week. "Kompani Lauritzen" had an increase of 60 thousand viewers on the episode on March 14.

During this period, the TV show with the highest number of viewers was "Nytt på nytt" with 969 thousand. "Alle mot 1" and "Kompani Lauritzen" had a total of 905 thousand and 626 thousand viewers, respectively.

For further general information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In 2020, a year after the sitcom Gavin and Stacey dominated the list of most viewed television programs in the United Kingdom, the "Prime Ministerial Statement" of Boris Johnson emerged as the most viewed TV program . Its viewer count totaled nearly 19 million, outstripping reality shows "BBC News Special" and "I'm A Celebrity..." in second and third places by a wide margin of nearly 5 million individuals.

TV ownership in the United Kingdom

The number of adults who own a digital TV in the United Kingdom has increased over the years, with 94 percent in 2019 owning one. Unsurprisingly, the percentage of individuals who did was lower among 16 to 24 year olds but only by a marginal 3 percent. Over 55 year olds as a group had the highest percentage of TV ownership overall. By 2019, TV in the United Kingdom had a higher reach among women and children than men.

The future of broadcast TV advertising

In 2019, television advertising prices were forecasted to continue increasing until 2020. This hasn’t been an indication of growth however, as broadcast TV has been steadily loosing its audience due to the rise of video-on-demand services such as Netflix and Amazon Prime Video, as well as the increasing popularity of YouTube. In a survey run from 2017 to 2019, viewing time decreased year by year for live TV, as more and more viewership time is being spent on video-on-demand platforms, YouTube, and catch-up-TV. This decline of live TV is also reflected in the reduction of broadcast TV commercial reach, which was dropped since 2016with fewer and fewer viewers watching ads in their entirety each year.

An average of *** thousand viewers watched A&E in 2023 in the United States. This marked a decline from the number of viewers in the previous year of ** percent. American pay TV network A&E broadcasts shows ranging from reality programming such as "Storage Wars: Northern Treasures," "American Justice," and "Nightwatch" to documentary series like "Biography: WWE Legends." The network's scheduling focuses on reality programs and non-fiction content.

This statistic shows the most-watched ITV programs in the United Kingdom (UK) in 2020, ranked by viewing audience. The reality TV show "I'm a Celebrity..." which aired on November 15, 2020 topped the list with over ** million viewers.

The free-to-air channel, Star Utsav, was the most watched Hindi general entertainment channel (GEC) across India, with an average minute audience of over *** million in the week between May 31 and June 6, 2025. Star Plus and Sony SAB came second and third respectively in that week. What is the GEC genre? General entertainment content (GEC) refers to entertainment content that includes dramas, soap operas, game shows, and reality shows on Indian television. Television consumption has become synonymous with this genre with Indian viewers spending the most amount of time watching GEC channels. Other major genres such as sports and news channels often compete intensely with GEC for both advertisers’ and viewers’ attention. Indian TV industry Despite stiff competition from SVOD services, India thrives as one of the largest pay TV markets in the world. In fact, the adoption of smart TVs in several households has allowed for a hybrid TV-viewing experience by connecting to the internet for streaming content as well as tuning into pay TV channels.

In June 2021, the mobile app of Mango TV had amassed about *** million of monthly active users in China. Almost ** percent of Mango TV's newly acquired users in that month were females. The Chinese subscription video-on-demand (SVOD) service provider offers exclusive reality shows which have gained immense popularity among female TV audience, such as Sisters Who Make Waves and Your Face Sounds Familiar.

According to a survey by Decision Lab, as of the third quarter of 2024, YouTube was the leading streaming service in Vietnam, used by ** percent of the respondents. At the same time, Facebook and FPT Play were the second most popular streaming platforms overall. FPT Play is a digital television application that offers a variety of copyrighted content, a service first introduced by FPT Telecom JSC, a subsidiary of Vietnam’s IT giant FPT Group. Vietnam: OTT platforms on the rise In recent years, Vietnam has witnessed a significant surge in the popularity of Over-The-Top (OTT) platforms. These platforms offer a wide range of content, allowing users to stream their favorite movies, dramas, and reality shows, catering to the preferences of the Vietnamese audience. One of the key factors driving the growth of OTT platforms in the country is the increasing internet penetration rate. A forecast showed that around ** percent of the population would have access to the internet by 2028. OTT platforms have also benefited from the rising popularity of mobile devices in Vietnam. With the majority of the population owning smartphones, many OTT platforms have developed user-friendly mobile applications, making it easier for users to access and enjoy their favorite content on the go. While US-based streaming providers such as Netflix, Amazon Prime Video, and Disney+ continued to dominate the global subscription-based video on demand (SVoD) segment, local platforms, such as FPT Play and VTV Go, have the upper hand in Vietnam. To pay or not to pay? While paid OTT services have enjoyed rising popularity in the nation, many Vietnamese internet users still prefer freely accessible, advertising-based video on demand. YouTube reigned as the most dominant streaming platform for audio and visual content, including movies, across all generations in Vietnam as of the first quarter of 2023. However, more and more people are willing to pay for higher-quality and exclusive content, suggesting the continuing growth of the SVoD segment in the country. As these platforms continue to evolve and offer more diverse content options, they are likely to further dominate the entertainment landscape in Vietnam.

On August 31, 2025, ************** was the most trending variety show in China, with ******points on the trending index of news aggregator platform Toutiao. ************** and *********** were other popular variety shows.