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.

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.

According to a survey conducted in Japan in July 2021, 42 percent of the respondents stated that they used Twitter to search for things related to their hobbies. About a third stated to search for recent news or events that are much talked about, as well as for information on entertainment.

As of December 2022, X/Twitter's audience accounted for over 368 million monthly active users worldwide. This figure was projected to decrease to approximately 335 million by 2024, a decline of around five percent compared to 2022.

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

With over 436 million monthly active users, building a huge Twitter following is not an easy task.

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

The number of Twitter users in the United States was forecast to continuously increase between 2024 and 2028 by in total 4.3 million users (+5.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 85.08 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Twitter users in countries like Canada and Mexico.

This is the breakdown of Twitter users by age group.

As of September 2023, it was found that 42 percent of adults in the United States aged between 18 and 29 years used X (formerly Twitter). This age group was the microblogging service’s biggest audience in the United States, followed by a 27 percent usage reach among 30 to 49-year-olds. X users in the United StatesAs of the first quarter of 2019, Twitter had 68 million monthly active users in the United States. In the fourth quarter of 2020, the number of monetizable daily active Twitter users in the country amounted to 37 million. As of January 2021, 61.6 percent of U.S. Twitter audiences were male and 38.4 percent were female. According to a February 2019 survey of social media users in the United States, Twitter was the most popular social network for news consumption. X usage in the United StatesTwitter is popular among users looking to catch up and chime in on current and trending topics and live-tweet about events and media. Live-tweeting television series or sporting events is a popular user activity and in 2018, the most popular television series based on average number of Twitter interactions per episode was ABC’s ‘The Bachelor’. In terms of global sporting events, it does not get much bigger than the Olympic Games. During the Winter Olympics in PyeongChang 2018, Twitter accounted for 50 percent of stakeholder posts during the Winter.

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.

The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2–6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1–2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.

The number of Twitter users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 0.9 million users (+5.1 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 18.55 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

As of February 2024, Twitter is ranked as the 12h most popular social media site in the world. The platform currently has 436 million active monthly users.

The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2–6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1–2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.

The aim of this project is to produce online dashboards to facilitate the study of personally expressed identity at scale. Version 2 now available: https://jasonjones.ninja/jason-jeffrey-jones-identity-trends-v2/

Jason Jeffrey Jones' Identity Trends draws inspiration from online dashboards such as Google Trends. The user may enter a query and will receive a time series of counts. In version 2, the count is the the prevalence of American Twitter users whose profile bio contains the queried term. For example, one might enter the search term "grandmother" and receive as output the the prevalence of American Twitter users whose profile bio contained "grandmother" in 2012, 2013, 2014 and so on. In future versions, one will be able to query how many users per day add a particular word to their biography or remove it.

The dataset is based on the 1% sample of public tweets available through the Twitter API. Users are unique (a user only counts once whether they tweet 1 time or 100 times). Users are filtered to those who are likely to be American.

In the six months ending March 2024, the United States accounted for 23.21 percent of web traffic to the Twitter.com URL. Japan ranked second, accounting for 16.06 percent of traffic to the web page, and was followed by the United Kingdom, representing 5.51 percent of the web address online volume.

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

The US has the largest number of Twitter users with 79.6 million users. They account for about 16.7% of all Twitter users worldwide.

QAnon is a far-right, decentralized political movement founded on conspiracy theories that have gained popularity on social media after emerging on the alt-tech site 4chan in 2017. According to a 2020 report, the United States was the leading social media platform for QAnon-related posts on Twitter, accounting for 87 percent of tweets. Overall, the United Kingdom made up 2.8 percent of tweets that contained QAnon-related hashtags and phrases.