With over 611 million monthly active users, building a huge Twitter following is not an easy task. These are the top 25 accounts with the most followers on Twitter right now.

In celebration of the Euro 2020/21 competition, Statista published the Celebrity Index report. The Celebrity Index - Euro 2021 ranked all competing teams and players by their celebrity status. Metrics that are used to weight this ranking include social media following, their transfer market value as well as the sentiment and number of global online news articles that mention any player competing. The Portuguese players had the highest average number of Twitter followers of any team competing in the Euros in 2021 - over 5.5 million followers.

As of December 2022, X/Twitter's audience accounted for over *** million monthly active users worldwide. This figure was projected to ******** to approximately *** million by 2024, a ******* of around **** percent compared to 2022.

These are the key Twitter user statistics that you need to know.

Twitter is ranked as the 12h most popular social media site in the world. The platform currently has 611 million active monthly users.

This statistic presents the average network size of teenage Twitter users in the United States. During the March 2015 survey, it was found that ** percent of respondents had *** to *** followers on the social network. The U.S. teen average was ** followers. In contrast, Katy Perry, the most-followed celebrity on the social network, had close to ** million followers.

The US has historically been the target country for Twitter since its launch in 2006. This is the full breakdown of Twitter users by country.

As of October 2025, social network X (formerly known as Twitter) was most popular in the United States, with an audience reach of approximately 99.04 million users. Japan ranked second, recording more than 71 million users on the platform. Global Twitter usage As of the second quarter of 2021, X/Twitter had 206 million monetizable daily active users worldwide. The most-followed Twitter accounts include figures such as Elon Musk, Justin Bieber and former U.S. president Barack Obama. X/Twitter and politics X/Twitter has become an increasingly relevant tool in domestic and international politics. The platform has become a way to promote policies and interact with citizens and other officials, and most world leaders and foreign ministries have an official Twitter account. Former U.S. president Donald Trump used to be a prolific Twitter user before the platform permanently suspended his account in January 2021. During an August 2018 survey, 61 percent of respondents stated that Trump's use of Twitter as President of the United States was inappropriate.

**Feature Name ** ** Description** NumberOfFollowings: The number of accounts the user is following NumberOfFollowers: Number of followers the user has NumberOfTweets: The number of tweets the user sent LengthOfScreenName: Length of user profile name LengthOfDescriptionInUserProfile : Length of the user profile description AccountAge: The age (days) of an account from its creation until the time of sending the most recent tweet FollowersToFollowingsRatio: NumberofFollowers / NumberofFollowing numWords: The average number of words in each tweet by a user numMentions: Average number of mentions for a tweet numHashtags: Average number of hashtags for a tweet numLinks: Average number of links for a tweet AvgTweetsperDay: Average tweets posted daily by the user

The US has the largest number of Twitter users with over a 100 million users. They account for about 16.7% of all Twitter users worldwide.

This is the breakdown of Twitter users by age group.

Author: Víctor Yeste. Universitat Politècnica de Valencia.The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in online media and the possible prediction of the selected success variables.In this case, due to the need to integrate data from two separate areas, such as web publishing and the analysis of their shares and related topics on Twitter, has opted for programming as you access both the Google Analytics v4 reporting API and Twitter Standard API, always respecting the limits of these.The website analyzed is hellofriki.com. It is an online media whose primary intention is to solve the need for information on some topics that provide daily a vast number of news in the form of news, as well as the possibility of analysis, reports, interviews, and many other information formats. All these contents are under the scope of the sections of cinema, series, video games, literature, and comics.This dataset has contributed to the elaboration of the PhD Thesis:Yeste Moreno, VM. (2021). Diseño de una metodología cibermétrica de cálculo del éxito para la optimización de contenidos web [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/176009Data have been obtained from each last-minute news article published online according to the indicators described in the doctoral thesis. All related data are stored in a database, divided into the following tables:tesis_followers: User ID list of media account followers.tesis_hometimeline: data from tweets posted by the media account sharing breaking news from the web.status_id: Tweet IDcreated_at: date of publicationtext: content of the tweetpath: URL extracted after processing the shortened URL in textpost_shared: Article ID in WordPress that is being sharedretweet_count: number of retweetsfavorite_count: number of favoritestesis_hometimeline_other: data from tweets posted by the media account that do not share breaking news from the web. Other typologies, automatic Facebook shares, custom tweets without link to an article, etc. With the same fields as tesis_hometimeline.tesis_posts: data of articles published by the web and processed for some analysis.stats_id: Analysis IDpost_id: Article ID in WordPresspost_date: article publication date in WordPresspost_title: title of the articlepath: URL of the article in the middle webtags: Tags ID or WordPress tags related to the articleuniquepageviews: unique page viewsentrancerate: input ratioavgtimeonpage: average visit timeexitrate: output ratiopageviewspersession: page views per sessionadsense_adunitsviewed: number of ads viewed by usersadsense_viewableimpressionpercent: ad display ratioadsense_ctr: ad click ratioadsense_ecpm: estimated ad revenue per 1000 page viewstesis_stats: data from a particular analysis, performed at each published breaking news item. Fields with statistical values can be computed from the data in the other tables, but total and average calculations are saved for faster and easier further processing.id: ID of the analysisphase: phase of the thesis in which analysis has been carried out (right now all are 1)time: "0" if at the time of publication, "1" if 14 days laterstart_date: date and time of measurement on the day of publicationend_date: date and time when the measurement is made 14 days latermain_post_id: ID of the published article to be analysedmain_post_theme: Main section of the published article to analyzesuperheroes_theme: "1" if about superheroes, "0" if nottrailer_theme: "1" if trailer, "0" if notname: empty field, possibility to add a custom name manuallynotes: empty field, possibility to add personalized notes manually, as if some tag has been removed manually for being considered too generic, despite the fact that the editor put itnum_articles: number of articles analysednum_articles_with_traffic: number of articles analysed with traffic (which will be taken into account for traffic analysis)num_articles_with_tw_data: number of articles with data from when they were shared on the media’s Twitter accountnum_terms: number of terms analyzeduniquepageviews_total: total page viewsuniquepageviews_mean: average page viewsentrancerate_mean: average input ratioavgtimeonpage_mean: average duration of visitsexitrate_mean: average output ratiopageviewspersession_mean: average page views per sessiontotal: total of ads viewedadsense_adunitsviewed_mean: average of ads viewedadsense_viewableimpressionpercent_mean: average ad display ratioadsense_ctr_mean: average ad click ratioadsense_ecpm_mean: estimated ad revenue per 1000 page viewsTotal: total incomeretweet_count_mean: average incomefavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesterms_ini_num_tweets: total tweets on the terms on the day of publicationterms_ini_retweet_count_total: total retweets on the terms on the day of publicationterms_ini_retweet_count_mean: average retweets on the terms on the day of publicationterms_ini_favorite_count_total: total of favorites on the terms on the day of publicationterms_ini_favorite_count_mean: average of favorites on the terms on the day of publicationterms_ini_followers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the terms on the day of publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms on the day of publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who spoke about the terms on the day of publicationterms_ini_user_age_mean: average age in days of users who have spoken of the terms on the day of publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms on the day of publicationterms_end_num_tweets: total tweets on terms 14 days after publicationterms_ini_retweet_count_total: total retweets on terms 14 days after publicationterms_ini_retweet_count_mean: average retweets on terms 14 days after publicationterms_ini_favorite_count_total: total bookmarks on terms 14 days after publicationterms_ini_favorite_count_mean: average of favorites on terms 14 days after publicationterms_ini_followers_talking_rate: ratio of media Twitter account followers who have recently posted a tweet talking about the terms 14 days after publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms 14 days after publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who have spoken about the terms 14 days after publicationterms_ini_user_age_mean: the average age in days of users who have spoken of the terms 14 days after publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms 14 days after publication.tesis_terms: data of the terms (tags) related to the processed articles.stats_id: Analysis IDtime: "0" if at the time of publication, "1" if 14 days laterterm_id: Term ID (tag) in WordPressname: Name of the termslug: URL of the termnum_tweets: number of tweetsretweet_count_total: total retweetsretweet_count_mean: average retweetsfavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesfollowers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the termuser_num_followers_mean: average followers of users who were talking about the termuser_num_tweets_mean: average number of tweets published by users who were talking about the termuser_age_mean: average age in days of users who were talking about the termurl_inclusion_rate: URL inclusion ratio

Between July and December 2024, over 335 million accounts on X (formerly Twitter) were suspended for reasons of spam or platform manipulation. User-informed labels were added to 66 million posts after being reported for spam.

This statistic displays the average number of followers and accounts followed by Twitter users on Twitter in the United Kingdom in 2013, by gender. In 2013, female respondents reported following *** people or organizations on average, while the average number of people followed by male respondents on Twitter was ***.

Advertising makes up 89% of its total revenue and data licensing makes up about 11%.

The platform is male-dominated with 68.1% of all Twitter users being male. Just 31.9% of Twitter users are female.

Markiplier's Tweets

A Study on Social Media Interaction and Engagement

By Twitter [source]

About this dataset

This dataset offers an in-depth analysis of the social media engagement of the popular Twitch and YouTube video game streamer, Markiplier. With over 70 million subscribers on his YouTube channel and 8 million followers on Twitter, Markiplier's impressive online presence is unrivaled. This data allows us to dive deep into the influence he has had on audiences worldwide from 2017-2020. By analyzing his posts for frequency, sentiment, reach, impressions and more, we can gain insight into factors that drive his evergreen popularity among gaming fans all over the globe. The columns provided offer insights such as tweet text content, hashtags used in posts (if any), retweets or favorites of tweets by fans and other users of interest - giving further proof to Markipliers social media prowess!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

Research Ideas

• Analyzing the data to identify changes in Markiplier's engagement over time, such as average number of likes on each post or level of interaction with fans.
• Predicting the likelihood of a tweet going viral by analyzing its associated engagement metrics such as likes and retweets.
• Investigating patterns in content type (photo, video, GIF etc.) to find correlations between type and levels of engagement - for example does posting GIFs result in higher interactions than photos?

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Twitter.

Dataset on #SSR can be used to practice basic data analysis and also to extract the exact tweets and perform sentimental analysis. It consists of 13 columns :

1.'id': Id of the tweet posted

2.'created_at': Date and Time of the tweet posted

3.'retweet_count': Count of how many times the same tweet is re-tweeted.

4.'source': From which platform the tweet was posted

5.'user_id': Id of the user posting the tweet

6.'user_name': Name of the user posting the tweet

7.'user_description': Description of the user posting the tweet

8.'user follower count': Count of how many followers does the user have

9.'user-friends count':': Count of how many friends does the user have

10.'user_location': Location from where the user posted the tweet

11.'user_verified': Is the user verified by Twitter or not

12.'user_url': URL of the user's profile

13.'length of tweet': The total length of the tweet posted by the user ( words ).

One of the biggest advantages of Twitter is the speed at which information can be passed around. People use Twitter primarily to get news and for entertainment. This is the breakdown of why people use Twitter today.

YouseeShawn Tweets

Retweets, Likes, and Replies

By Twitter [source]

About this dataset

This dataset is a comprehensive exploration of the YouseeShawn Twitter account, providing a valuable glimpse into their interactions with the rest of the world on social media. Here you will find detailed information on each Tweet they posted, including its content, how many Likes and Retweets it received, any photographs or external links utilized within the post, any Tweets they quoted or replied to as well as how many replies and quotes were received by them. This invaluable source of insight can be used to learn more about user engagement and preferences across various topics and help optimize future social media campaigns

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides valuable insight into the interactions of YouseeShawn on Twitter. This is useful for evaluating their performance, engaging with other users, and understanding their follower base. To make the most of the data, it should be analyzed alongside other metrics such as impressions, engagement rate, and reach. Here are some tips on how to use this dataset:

Research Ideas

• Analyzing the efficacy of different types of Tweets: This dataset can be used to analyze which type of Tweets from YouseeShawn generate the most Likes, replies, and retweets over time.
• Investigating conversation trends: Using this data, analysts can monitor how often users are engaging with YouseeShawn's content and what topics of conversation may be more effective than others in terms of engagement.
• Optimizing content for external links: This dataset can provide valuable insight into how many external links YouseeShawn includes within their tweets, as well as how users respond to them - helping marketers identify the most effective strategies for including external links in tweets with high rates of engagement

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Twitter.