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YouTube Subscriber and View Data

YouTube & Video Platform Data

Tags and Keywords

Youtube

Channels

Subscribers

Views

Creators

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YouTube Subscriber and View Data Dataset on Opendatabay data marketplace

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Free

About

This dataset provides insights into the most subscribed 1000 YouTube channels globally, offering a snapshot of the leading entities in the creator economy. It details key metrics such as subscriber counts and total video views, shedding light on the immense scale of user-generated content platforms. Since its launch in 2005, YouTube has experienced rapid growth, with T-Series consistently holding the position as the most subscribed channel with hundreds of millions of users. The platform's Partner Program allows popular content uploaders to earn revenue from advertising, leading to the rise of prominent YouTube celebrities such as MrBeast, who topped earnings rankings in 2021. This dataset is valuable for understanding the dynamics of digital content creation and its commercial landscape.

Columns

  • Rank: The sequential position of the channel within the top 1000.
  • Youtube Channel: The name of the YouTube channel.
  • Subscribers: The total number of subscribers a channel has accumulated, ranging from approximately 11.4 million to 234 million.
  • Video Views: The total number of views across all videos on a channel, with values reaching up to 213 billion.
  • Video Count: The total number of videos uploaded by a channel, with a maximum of around 343,000 videos.
  • Category: The primary content category of the channel, such as Entertainment or Music.
  • Started: The year the YouTube channel was launched.

Distribution

The dataset is provided in a CSV file format and is approximately 72.33 kB in size. It comprises 7 distinct columns and contains 1000 individual records, representing the top 1000 most subscribed YouTube channels.

Usage

This dataset is ideal for data analytics, data visualisation, and exploratory data analysis projects using programming languages like Python. It can be used to:
  • Analyse trends in YouTube channel growth and popularity.
  • Identify the most influential channels and content categories.
  • Research the impact of subscriber counts on video views.
  • Explore the evolution of the YouTube creator economy.
  • Benchmark channel performance within specific categories.

Coverage

The dataset primarily focuses on global YouTube channels. It includes data points up to November 2022 for subscriber figures of top channels like T-Series and YouTube Movies. Information on highest earners is available for 2021, and YouTube's ad revenue details extend to the third quarter of 2022. The channels included were started between 1970 and 2021, providing a historical scope for channel creation dates. The categories covered include Entertainment, Music, and various other types.

License

CC0: Public Domain

Who Can Use It

  • Data Scientists and Analysts: For statistical analysis, model building, and trend forecasting related to digital media.
  • Marketing Professionals: To understand audience engagement, identify potential partnership channels, and inform content strategy.
  • Researchers: Studying the growth of the creator economy, social media influence, and digital content consumption.
  • Content Creators: To gain insights into successful channel strategies and competitive landscapes.
  • Students: For academic projects involving data analysis of social media platforms.

Dataset Name Suggestions

  • Top 1000 YouTube Channels
  • Global YouTube Channel Metrics
  • YouTube Creator Data 2022
  • Leading YouTube Channels Statistics
  • YouTube Subscriber and View Data

Attributes

Original Data Source: YouTube Subscriber and View Data

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

14/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format