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

These Twitter user statistics will give you the complete story of where Twitter is at today and what the future looks like for the social media company.

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.

Social network X/Twitter is particularly popular in the United States, and as of February 2025, the microblogging service had an audience reach of 103.9 million users in the country. Japan and the India were ranked second and third with more than 70 million and 25 million users respectively. 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.

Between October 27, 2022 and April 10, 2023, following Elon Musk's acquisition of Twitter, 39 percent of Twitter users mentioned Elon Musk at least once on the platform. Before, during, and after Musk's purchase of Twitter, users who identified as Republican were more likely to mention Musk in their tweets than users who voted Democrat.

This is the breakdown of Twitter users by age group.

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

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

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

According to a 2022 survey conducted in the United States, almost one-quarter of Twitter users strongly approved of Tech-billionaire Elon Musk buying social media platform Twitter, whilst one in four Twitter users somewhat approved. Around one-quarter of Twitter users in the U.S. strongly disapproved of Musk's taking over Twitter, a marginal increase since being asked the same question in April 2022 when Musk first announced he was buying the company.

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.

This dataset contains a collection of Elon Musk's tweets, updated and recorded automatically on a daily basis. The data collection began on 2 September 2021, subject to limitations of the Twitter API. It focuses exclusively on original content tweets, meaning it excludes replies to other tweets, providing a clear view of direct communications. This dataset offers insights into Elon Musk's public discourse, statements, and activity on the social media platform.

Columns

• Id: This column represents the unique identifier for each tweet.
• Date: This column indicates the date on which the tweet was created.
• Text: This column contains the actual content or body of the tweet.

Distribution

The dataset is typically provided in a CSV file format. It comprises approximately 2072 unique tweet records. Data collection commenced on 2 September 2021 and extends up to 8 June 2023, with daily updates. The number of rows or records will increase as the dataset is continually updated.

Usage

This dataset is ideal for various applications, including: * Social media analysis: Understanding trends and patterns in high-profile individual communications. * Natural Language Processing (NLP): Developing and testing models for sentiment analysis, topic modelling, and text classification based on real-world social media text. * News and media research: Tracking public statements and their impact. * Research into public figures: Analysing communication strategies and thematic content. * AI and LLM training: Providing text data for large language model development and fine-tuning.

Coverage

The dataset's coverage spans from 2 September 2021 to 8 June 2023, with ongoing daily updates. Geographically, the data is considered global, reflecting the nature of online social media platforms. There are no specific demographic notes beyond the fact that the data pertains solely to tweets from Elon Musk and includes only original content, not replies.

License

CC0

Who Can Use It

This dataset is suitable for a wide range of users, including: * Data scientists and analysts: For research, trend analysis, and predictive modelling. * Academics and students: For linguistic studies, social science research, and educational projects. * AI and Machine Learning developers: For training and validating models related to text analysis and language understanding. * Journalists and media professionals: For fact-checking, background research, and narrative development. * Market researchers: For understanding public sentiment and perception surrounding influential figures.

Dataset Name Suggestions

• Elon Musk Daily Tweets
• The Elon Musk Tweet Archive
• Elon Musk's Twitter Chronicle
• Musk Tweet Stream
• X Insights: Elon Musk

Attributes

Original Data Source: Elon Musk Tweets (Updated Daily Automatically)

X/Twitter has experienced a turbulent year since Elon Musk came close to purchasing the company, which has in turn raised concerns about the number of bots on the platform. Nevertheless, user numbers have continued to rise. In the last reported quarter, the number of global monetizable daily active users (mDAU) on X/Twitter amounted to 237.8 million users, up from 229 million mDAU in the previous quarter.

Overall, this is an increase in mDAU of over 15 percent when compared to the same quarter of the previous year. In addition, monetizable daily active users in the United States also increased, and throughout June and July 2022, X Premium rolled out an increase in the cost of its membership for new subscribers.

Who is using X/Twitter?

As of the beginning of 2022, men made up 56.4 percent of all X/Twitter users worldwide. Users between the ages of 25 and 34, who accounted for 38.5 percent of X/Twitter's global audience, made up the largest audience share. Moreover, one-fifth of users worldwide were between the ages of 35 and 49, indicating that the platform is not so popular amonst younger audiences. In 2021, Generation Z X/Twitter users in the United States spent more time on other major social networks, such as TikTok, YouTube, and Instagram than they did on Twitter.

X/Twitter and advertising

In 2021, X/Twitter’s annual revenue increased steeply, generating more than five billion U.S. dollars in total, with the vast majority of revenue coming from advertising. Overall, almost a quarter of global marketers said they planned to increase their spending on X/Twitter in 2022, whilst the majority said they did not plan to change their expenditure on the platform. In recent years, X/Twitter almost tripled its advertising expenditure, boosting ad spending from 56 million U.S. dollars in 2020 to over 167 million U.S. dollars in 2021.

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.

At the end of October 2022, Elon Musk concluded his acquisition of Twitter. In the weeks and months before that, several questions were publicly discussed that were not only of interest to the platform's future buyers, but also of high relevance to the Computational Social Science research community. For example, how many active users does the platform have? What percentage of accounts on the site are bots? And, what are the dominating topics and sub-topical spheres on the platform? In a globally coordinated effort of 80 scholars to shed light on these questions, and to offer a dataset that will equip other researchers to do the same, we have collected 375 million tweets published within a 24-hour time period starting on September 21, 2022. To the best of our knowledge, this is the first complete 24-hour Twitter dataset that is available for the research community. With it, the present work aims to accomplish two goals. First, we seek to answer the aforementioned questions and provide descriptive metrics about Twitter that can serve as references for other researchers. Second, we create a baseline dataset for future research that can be used to study the potential impact of the platform's ownership change.

This dataset contains a collection of Elon Musk's tweets, offering a rich source of content from one of Twitter's most-followed users. Given his constant tweeting activity, the dataset provides engaging material for various analytical purposes. It is regularly updated and is generated by collecting public tweets by Elon Musk. This makes it particularly valuable for those looking to explore social media content, analyse communication patterns, or develop and test Natural Language Processing (NLP) tools and techniques.

Columns

The dataset includes the following columns: * Tweet Id: A unique identifier for each tweet. * Datetime: The date and time when the tweet was posted. * Text: The actual content of the tweet. * Username: The user name associated with the tweet (which is Elon Musk in this dataset).

Distribution

The dataset is provided as a CSV file, named elonmusk.csv, and is updated on a daily basis. It is structured as tabular data. The tweets span a time frame from 5th June 2010 to 29th June 2023, and it contains a total of 23,778 unique tweet entries.

Usage

This dataset is ideal for a range of applications and use cases, including: * Testing and developing NLP tools and techniques. * Data visualisation to identify trends or insights. * Exploratory data analysis of public figures' social media presence. * Analysing communication styles and popular topics over time.

Coverage

The dataset's coverage is global, reflecting the worldwide accessibility of Twitter. It includes tweets from 5th June 2010 to 29th June 2023. The data captures the public tweets of Elon Musk, a highly influential figure with over 100 million followers, making it relevant for studying large-scale social media impact.

License

The dataset is available under a CC0 license, which allows for maximum freedom in its use.

Who Can Use It

This dataset is suitable for: * Data scientists and researchers focused on social media analysis. * NLP practitioners looking for real-world text data for model training and testing. * Academics studying public discourse, influence, or communication trends. * Anyone interested in the digital footprint of prominent public figures.

Dataset Name Suggestions

• Elon Musk Tweets (Daily Updated)
• Elon Musk Tweet History Archive
• Daily Elon Tweets
• Musk Tweet Data

Attributes

Original Data Source: Elon Musk Tweets (Daily Updated)

Context

Tweets by Elon Musk are very popular, he is currently one of the most followed users on Twitter, with >100M followers. He is also constantly tweeting, and therefore the content generated is really interesting.

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Content

This dataset is collected daily using tweepy and Twitter API The source of the dataset is: public tweets by Elon Musk

Data columns

The following columns are included: - ID
- User name
- User location
- User description
- User created
- User followers
- User friends
- User favorites
- User verified
- Date
- Text
- Hashtags
- Source
- Retweets
- Is retweet

Ideas for analysis

You can use this dataset (daily updated) to test your skills with NLP tools and techniques.

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.

After his acquisition of Twitter, Elon Musk pledged to overhaul verification and moderation policies. These events sparked fears of a rise in influence of contentious actors—notably from the political right. I investigate this question by gathering tweet data for accounts that purchased blue-tick verification before and after the Musk takeover. Following the takeover, we see a large increase in post engagement for all users. There is no obvious evidence that blue-tick verification confers an additional engagement boost. But tweet engagement for accounts active in far-right networks out-stripped any increased engagement for general user accounts.

Twitter has been a prominent forum for academics communicating online, both among themselves and with policymakers or the broader public. Elon Musk’s take-over of the company brought sweeping change to many aspects of the platform, including the public access to its data; Twitter’s approach to censorship and mis/disinformation; and tweaks to the affordances of the platform. In this letter, we take up a narrower empirical question: what did Elon Musk’s takeover of the platform mean for this academic ecosystem? Using a snowball sample of more than 15,700 academic accounts from the fields of economics, political science, sociology, and psychology, we show that academics in these fields reduced their “engagement” with the platform, measured with either the number of active accounts (i.e., those registering any behavior on a given day) or the number of tweets written (including original tweets, replies, retweets, or quote tweets). We further test whether this drop-off in engagement differed by account type, finding that verified users were significantly more likely to reduce their production of content (i.e., writing new tweets or quoting others’ tweets), but not their engagement with the platform writ large (i.e., retweeting or replying to others’ content).