In 2023, all the analyzed channels with an audience between ****** and ********** subscribers had over ******* disliked on YouTube, against the approximately ********** likes recorded in 2023. In comparison, all the tiny accounts analyzed - which had up to *** subscribers - managed to accumulate a total of *********** likes, as well as ****** dislikes and ****** comments.

This dataset contains two files for analyzing the relationship between the popularity of a certain video and the most relevant/liked comments of said video.

File Descriptions videos-stats.csv: This file contains some basic information about each video, such as the title, likes, views, keyword, and comment count.

comments.csv: For each video in videos-stats.csv, comments.csv contains the top ten most relevant comments as well as said comments' sentiments and likes.

Column Descriptions videos-stats.csv:

Title: Video Title. Video ID: The Video Identifier. Published At: The date the video was published in YYYY-MM-DD. Keyword: The keyword associated with the video. Likes: The number of likes the video received. If this value is -1, the likes are not publicly visible. Comments: The number of comments the video has. If this value is -1, the video creator has disabled comments. Views: The number of views the video got. comments.csv:

Video ID: The Video Identifier. Comment: The comment text. Likes: The number of likes the comment received. Sentiment: The sentiment of the comment. A value of 0 represents a negative sentiment, while values of 1 or 2 represent neutral and positive sentiments respectively. Applicability Sentiment Analysis with comments Text Generation with comments Predicting video likes from comment information Popularity Analysis by Keyword Popularity Analysis Prediction video views from comment information/video statistics In-depth EDA of the Data

Original Data Source: Youtube Statistics

This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

Context

YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.

Note that this dataset is a structurally improved version of this dataset.

Content

This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.

Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.

The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the 11 regions in the dataset.

For more information on specific columns in the dataset refer to the column metadata.

Acknowledgements

This dataset was collected using the YouTube API. This dataset is the updated version of Trending YouTube Video Statistics.

Inspiration

Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time.

For further inspiration, see the kernels on this dataset!

This dataset provides key statistics and subtitles for over 700 videos from the popular YouTube channel, MrBeast. It offers valuable insights into video performance, including metrics such as views, likes, comments, and duration, along with the full subtitle text for each video. This resource is ideal for analysing social media trends, content engagement, and language patterns, making it a valuable asset for data analytics, machine learning, and content strategy development.

Columns

• title: The title of the YouTube video.
• id: The unique identifier for the video.
• published_at: The date and time when the video was published.
• description: The textual description provided for the video.
• viewCount: The total number of views the video has accumulated.
• likeCount: The total number of likes the video has received.
• commentCount: The total number of comments on the video.
• duration_seconds: The length of the video measured in seconds.
• subtitles: The full subtitle text for the video.

Distribution

The dataset typically comes in a CSV data file format and contains approximately 728 unique records, corresponding to over 700 videos. This data is regularly updated, with a daily pull available from its original source.

Usage

This dataset is suited for a variety of applications, including: * Social media performance analysis: Understanding viewer engagement and content popularity. * Natural Language Processing (NLP): Analysing subtitle text for sentiment, keywords, and linguistic patterns. * Machine learning model training: Developing predictive models for video virality or audience behaviour. * Content strategy development: Identifying successful video characteristics and topics. * Academic research: Studying online video content and its impact.

Coverage

The dataset covers videos from the MrBeast YouTube channel, with a global regional scope. It includes statistics and subtitles for videos spanning the channel's history up to the point of data collection. Specific notes on data availability for certain groups or years are not detailed, but it encompasses a substantial number of the channel's uploads.

License

CC0

Who Can Use It

• Data Analysts: To explore trends in YouTube content and audience engagement.
• Researchers: For studies on digital media, social networks, and language.
• Machine Learning Engineers: To build and train models for text analysis or video metric prediction.
• Content Creators & Marketers: To gain insights into successful video strategies.
• Students: For educational projects in data science and analytics.

Dataset Name Suggestions

• MrBeast YouTube Video Statistics
• MrBeast Channel Performance Data
• YouTube Creator Metrics - MrBeast
• MrBeast Subtitles and Engagement Data

Attributes

Original Data Source: MrBeast Youtube Stats and subtitles

This statistic shows the result of a survey on the average engagement rate for YouTube videos in Poland in 2018, broken down by channel category. According to the survey, Internet users loved to watch entertainment content in 2018 and were very eager to share their opinions on individual videos. As a result, the Entertainment category reached the highest engagement rate in the sample (10 percent), calculated as the sum of all interactions (likes/dislikes + comments + sharing) divided by the number of views.

This dataset contains detailed information about IShowSpeed's YouTube channel, including metadata for all his videos and associated performance metrics. IShowSpeed, widely known for his energetic and entertaining content, has amassed a massive following on YouTube. This dataset provides insights into his content strategy, video performance, and audience engagement patterns.

Use Cases: - Analyze patterns in video uploads and performance over time. - Study audience interaction through likes, comments, and views. - Forecast future growth and engagement based on historical data. - Identify video features that resonate most with viewers.

Check out Notebook here

This statistic shows the result of a survey which compares Facebook and YouTube engagement rate in Poland in 2018. According to the analysis, YouTube had more than doubled the level of online user activity compared to Facebook, calculated as the sum of all interactions (likes/dislikes + comments + sharing) divided by the number of views.

Haza3 had the largest number of interactions on YouTube among Russian-speaking channels in January 2025, at around **** million likes and comments. Kinoluv, a channel dedicated to films, was the second-leading YouTube vlog by interactions.

Key YouTube Statistics (Editor’s Choice) YouTube recorded 70 billion monthly active users in March 2023, which includes 55.10% of worldwide active social media users. There have been more than 14 million daily active users currently on YouTube, in the United States of America this platform is accessed by 62% of users. YouTube is touted as the second largest search engine and the second most visited website after Google. Revenue earned by YouTube in the first two quarters of 2023 is around $14.358 billion. In 2023, YouTube Premium and YouTube Music have recorded 80 million subscribers collectively worldwide. YouTube consumers view more than a billion hours of video per day. YouTube has more than 38 million active channels. In the fourth quarter of 2021, YouTube ad revenue has been $8.6 billion. Around 3 million paid subscribers to access YouTube TV. YouTube Premium has around 1 billion paid users. In 2023, YouTube was banned in countries such as China excluding Macau and Hong Kong, Eritrea, Iran, North Korea, Turkmenistan, and South Sudan. With 166 million downloads, the YouTube app has become the second most downloaded entertainment application across the world after Netflix. With 91 million downloads, YouTube Kids has become the sixth most downloaded entertainment app in the world. Nearly 90% of digital consumers access YouTube in the US, making it the most popular social network for watching video content. Over 70% of YouTube viewership takes place on its mobile application. More than 70% of YouTube video content watched by people is suggested by its algorithm. The average duration of a video on YouTube is 12 minutes. An average YouTube user spends 20 minutes and 23 seconds on the platform daily. Around 28% of YouTube videos that are published by popular channels are in the English language. 77% of YouTube users watch comedy content on the platform. With 247 million subscribers, T-Series has become the most subscribed channel on YouTube. Around 50 million users log on to YouTube every day. YouTube's biggest concurrent views record has been at 2.3 billion from when SpaceX has gone live on the platform to unveil Falcon Heavy Rocket. The majority of YouTube users are in the age group of 15 to 35 years in the US. The male-female ratio of YouTube users is 11:9. Apple INC. has been touted as the biggest advertiser on YouTube in 2020 spending $237.15 million. YouTube produced total revenue of $19.7 billion in 2020. As of 2021, the majority of YouTube users (467 million) are from India. It is the most popular platform in the United States with 74 percent of adult users. YouTube contributes to nearly 25% of mobile traffic worldwide. Daily live streaming on YouTube has increased by 45% in total in 2020. In India, around 225 million people are active on the platform each hour as per the 2021 statistics. YouTube Usage and Viewership Statistics #1. YouTube accounts for more than 2 billion monthly active users Around 2.7 billion users log on to YouTube each month. The number of monthly active users of YouTube is expected to grow even further. #2. Around 14.3 billion people visit the platform every month The number of YouTube visitors is far higher compared to Facebook, Amazon, and Instagram. #3. YouTube is accessible across 100 countries in 80 languages. The platform is widely available across different communities and nations. #4. 53.9% of YouTube users are men and 46.1% of women use the platform As of 2023 statistics, 53.9% of men use the platform and 46.1% of women over 18 years are on YouTube. The share in the number of males and females is 1.38 billion and 1.18 billion respectively. Age Group Male Female 18 to 24 8.5% 6% 25 to 34 11.6% 8.6% 35 to 44 9% 7.5% 45 to 54 6.2% 5.7% 55 to 64 4.4% 4.5% Above 65 4.3% 5.4% #5. 99% of YouTube users are active on other social media networks as well. Fewer than 1% of YouTube users are solely dependent on the platform. #6. Users spend around 20 minutes and 23 seconds per day on YouTube on average It is quite a generous amount of time spent on any social network platform. #7. YouTube is the second most visited site worldwide With more than 14 billion visits per month, YouTube has become the second most visited site in the world. However, its parent company Google is the most visited site across the globe. As per the statistics, YouTube is the third most popular searched word on Google. #8. 694000 hours of video content are streamed on YouTube per minute YouTube has outweighed Netflix as well in terms of streaming video content. #9. Over 81% of total internet users have accessed YouTube #10. Nearly 450 million hours of video content are uploaded on YouTube each hour More than 5 billion videos are watched on YouTube per day. #11. India has the maximum numb

As of June 2024, "Despacito" by Puerto Rican singers Luis Fonsi and Daddy Yankee was the most commented video from a Latin American artist on YouTube and the tenth most commented on the platform, gathering more than **** million comments. Already in February 2019, the global hit became the most-watched music video in the history of YouTube and, consequently, the most viewed music video on the website from a Latin American artist. In her own league A colossal musical personality worldwide and in her homeland, Colombian superstar Shakira scored two of her most watched videos on this list: the first was Waka Waka (This Time for Africa), the official theme song for the 2010 FIFA World Cup. The second was BZRP Music Sessions #53, recorded with Argentinian DJ Bizarrap. The song is a diss track about her break-up with former football play Gerard Piqué, and it broke the world record of the most-watched new song from a Latin artist on YouTube, reaching more than ** million views in its first ** hours. YouTube in Latin America Offering a mix of free-ad-supported video-on-demand (AVoD) with subscription packages, along with a wide variety of official catalog and social media-like produced user content, YouTube is one of the main channels for music and video consumption in Latin America. With some of its most popular channels based in markets like Brazil, Mexico, and Chile, the popularity of YouTube also extends to the Caribbean, being a trump card for musicians and content creators in the subregion’s social media landscape - home to the two leaders of this list, Luis Fonsi and Daddy Yankee themselves.

YouTube boasts an average of 23.7 hours per month spent by users.

YouTube gets an average of 14.3 billion total worldwide visits every month.

This statistic presents the most popular video content categories on YouTube worldwide, ranked by market share. As of December 2018, people and blogs were the most popular YouTube content category based on share of available videos. The category accounted for 32 percent of public videos on the platform.

80% of parents say that their children under the age of 11 watch YouTube regularly.

This statistic presents the average length of YouTube videos as of December 2018, sorted by category. According to the report, the average video length is at 11.7 minutes. Music content generally had the shortest video length among all categories on the platform, with an average length of 6.8 minutes per video.

Twitter user statistics show a varying degree of how often users login to the platform. Here’s what it looks like.

I’ve compiled a list of the latest social media user statistics showing just how big social media has become and where it’s likely to go in the future.

Comprehensive benchmarks for the Food & Beverage industry across TikTok, Instagram, and YouTube, including metrics like average monthly follower growth rates and engagement statistics.

Gum bleeding is a common dental problem, and numerous patients seek health-related information on this topic online. The YouTube website is a popular resource for people searching for medical information. To our knowledge, no recent study has evaluated content related to bleeding gums on YouTube™. Therefore, this study aimed to conduct a quantitative and qualitative analysis of YouTube videos related to bleeding gums. A search was performed on YouTube using the keyword "bleeding gums" from Google Trends. Of the first 200 results, 107 videos met the inclusion criteria. The descriptive statistics for the videos included the time since upload, the video length, and the number of likes, views, comments, subscribers, and viewing rates. The global quality score (GQS), usefulness score, and DISCERN were used to evaluate the video quality. Statistical analysis was performed using the Kruskal–Wallis test, Mann–Whitney test, and Spearman correlation analysis. The majority (n = 69, 64.48%) of the videos observed were uploaded by hospitals/clinics and dentists/specialists. The highest coverage was for symptoms (95.33%). Only 14.02% of the videos were classified as "good". The average video length of the videos rated as "good" was significantly longer than the other groups (p

These are the key social media statistics that you need to know.