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.

A table mapping common Twitter/X goals to the key metrics to track and what those metrics indicate about performance.

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

Explore key Twitter statistics, including user growth, tweet volume, engagement rates, advertising trends, and global usage. Stay informed!

This is the breakdown of Twitter users by age group.

Statistics about new users added each day since the start of Twitter (X), from the 2.8 billion Twitter profile dataset.

The "New Users" field shows the number of new users with a "created_at" field (some suspended accounts did not include this field).

The "New Public" field shows the number of public user accounts added that day (with the "protected" flag set to 0).

The "Friends Per User", "Followers Per User", and "Statuses Per User" are the average number of friends/followers/statuses that new users that day had as of November, 2022. So a user that created an account in 2009, posted once in 2010, and 99 times in 2021 will show 100.

The "Suspended" field is the number of accounts created that day that were known to be suspended as of November, 2022. For this dataset, a user is considered suspended if the screen_name, statuses_count, and created_at fields are blank in the original 2.8 billion Twitter profile dataset.

Explore key Twitter user statistics, including growth trends, engagement metrics, demographics, tweet volume, and platform activity!

Real-time X (Twitter) post volume, engagement metrics, and sentiment analysis providing insights into social conversations, brand perception, and influencer impact for institutional investment research.

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 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.

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.

This dataset consists of 1.6 million random tweets collected from Twitter two years ago. The tweets cover a wide range of topics and reflect the diverse nature of user-generated content on the platform. These tweets can serve as a valuable resource for various natural language processing (NLP) tasks, including sentiment analysis, topic modeling, text classification, and language modeling.

The dataset includes both textual content and associated metadata such as timestamp, user information (username, follower count, etc.), and engagement metrics (likes, retweets, replies). This rich combination of textual and contextual information allows researchers and data scientists to explore the dynamics of user interactions, analyze trends, and study the evolution of social media conversations over time.

With 1.6 million tweets, this dataset provides a significant volume of data to train and validate machine learning models. It is suitable for developing and benchmarking algorithms that require large-scale text data, enabling researchers to tackle challenges in NLP and social media analytics.

Potential applications of this dataset include but are not limited to sentiment analysis for brand monitoring, opinion mining for market research, user behavior analysis, and social media trend detection. Furthermore, it can be used to study language patterns, detect fake news or spam, and investigate the impact of events or campaigns on public opinion.

By making this dataset available on Kaggle, we aim to encourage the development of innovative approaches to analyze Twitter data and gain insights into the ever-evolving landscape of social media. We hope that this dataset will inspire researchers, data scientists, and enthusiasts to explore the vast potential of natural language processing and contribute to advancements in social media analytics.

This dataset contains statistics related to the Unleashed Twitter account (@SAUnleashed). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

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

Use our Twitter Posts dataset to analyze detailed information about tweets, including post content, author username, hashtags, mentions, likes, retweets, replies, and posting date. Popular use cases include sentiment analysis, tracking public opinion, and evaluating the performance of social media campaigns. Over 31M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Post ID Username & Name Description/Content Posting Date Photos & Videos Quoted Posts Tagged Users Replies Count Reposts Count Likes Count Views Count External URLs Hashtags Followers Count Biography Profile Image Verification Status Bookmarks And much more

In 2025, X (formerly Twitter) posts saw a year-over-year decrease in impressions of five percent. Interactions saw a change of 12 percent, and overall engagement increased by 19 percent.

In 2025, posts on X (formerly Twitter) generated an average of 32.89 likes, up from 30.25 likes in 2024. Replies and retweets also increased year-over-year, and in 2025, the average post on the platform received 2.56 replies and 6.67 retweets.

Utilize our Twitter dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset provides a comprehensive understanding of social media trends, empowering organizations to refine their communication and marketing strategies. Access the entire dataset or customize a subset to fit your needs. Popular use cases include market research to identify trending topics and hashtags, AI training by reviewing factors such as tweet content, retweets, and user interactions for predictive analytics, and trend forecasting by examining correlations between specific themes and user engagement to uncover emerging social media preferences.

Social media post volume and engagement metrics reflecting real-time public discourse and brand mentions

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