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Decades of Horror Film Database

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Tags and Keywords

Movies

Horror

Films

Cinema

Database

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Decades of Horror Film Database Dataset on Opendatabay data marketplace

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Free

About

Explore a rich dataset of horror movies, dating back to the 1950s. This dataset comprises approximately 32,500 movie records, offering a detailed look into various aspects of horror cinema. It was meticulously extracted from The Movie Database (TMDB) via their API, providing a robust resource for film analysis and entertainment research.

Columns

  • Number: An ordinal index for each record.
  • id: The unique identifier for each movie.
  • original_title: The original title of the movie.
  • title: The movie's common title.
  • original_language: The original language in which the movie was produced (e.g., 'en', 'es').
  • overview: A synopsis or brief description of the movie.
  • tagline: A memorable phrase or slogan associated with the movie.
  • release_date: The date the movie was released, ranging from 1950 to 2022.
  • poster_path: The file path to the movie's poster image.
  • popularity: A numerical indicator of the movie's popularity.
  • vote_count: The total number of votes received for the movie.
  • vote_average: The average rating given to the movie by voters.
  • budget: The production budget for the movie, if available.
  • revenue: The total box office revenue generated by the movie.
  • runtime: The duration of the movie in minutes.
  • status: The production status of the movie, predominantly 'Released'.
  • adult: A boolean indicating if the movie is adult-rated (all records in this dataset are marked as 'false').
  • backdrop_path: The file path to the movie's backdrop image.
  • genre_names: The genres associated with the movie, with 'Horror' being the most common.
  • collection: Identifier for movie collections.
  • collection_name: The name of the movie collection.

Distribution

The dataset is presented as a CSV file, named horror_movies.csv, with a file size of 14.42 MB. It contains around 32,500 individual movie records. Each record includes 21 distinct columns, detailing various attributes of horror films.

Usage

This dataset is ideal for:
  • Film analysis: Studying trends, thematic shifts, and the evolution within the horror film genre.
  • Data science projects: Practising data cleaning, transformation, and visualisation techniques.
  • Recommendation systems: Developing or testing algorithms for suggesting horror films.
  • Market research: Analysing movie performance based on metrics such as budget, revenue, and audience popularity.
  • Content creation: Generating insights and data-driven narratives for articles, blogs, or video essays on horror cinema.

Coverage

The dataset spans a significant timeframe, including horror films released from 1950 through to the end of 2022. While many films are English-language, the dataset includes movies in 96 other languages, reflecting a global scope. It focuses solely on movie attributes and does not include demographic data on viewers or creators.

License

CC0: Public Domain

Who Can Use It

  • Film Researchers: To conduct academic or critical studies on horror cinema history and characteristics.
  • Data Analysts: For exploring and extracting insights from movie metrics like popularity, budget, and revenue trends.
  • Students and Educators: As a practical resource for learning data analysis, programming, and film studies.
  • Software Developers: To build applications, tools, or interactive visualisations related to movie metadata.
  • Horror Film Enthusiasts: For deep dives into their favourite genre, uncovering hidden gems or statistical curiosities.

Dataset Name Suggestions

  • Decades of Horror Film Database
  • Vintage to Contemporary Horror Movies
  • TMDB Horror Cinema Collection
  • Global Horror Film Data
  • The Ultimate Horror Movie Vault

Attributes

Original Data Source: Decades of Horror Film Database

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

08/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format