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This dataset is structured as a graph, where nodes represent users and edges capture their interactions, including tweets, retweets, replies, and mentions. Each node provides detailed user attributes, such as unique ID, follower and following counts, and verification status, offering insights into each user's identity, role, and influence in the mental health discourse. The edges illustrate user interactions, highlighting engagement patterns and types of content that drive responses, such as tweet impressions. This interconnected structure enables sentiment analysis and public reaction studies, allowing researchers to explore engagement trends and identify the mental health topics that resonate most with users.
The dataset consists of three files: 1. Edges Data: Contains graph data essential for social network analysis, including fields for UserID (Source), UserID (Destination), Post/Tweet ID, and Date of Relationship. This file enables analysis of user connections without including tweet content, maintaining compliance with Twitter/X’s data-sharing policies. 2. Nodes Data: Offers user-specific details relevant to network analysis, including UserID, Account Creation Date, Follower and Following counts, Verified Status, and Date Joined Twitter. This file allows researchers to examine user behavior (e.g., identifying influential users or spam-like accounts) without direct reference to tweet content. 3. Twitter/X Content Data: This file contains only the raw tweet text as a single-column dataset, without associated user identifiers or metadata. By isolating the text, we ensure alignment with anonymization standards observed in similar published datasets, safeguarding user privacy in compliance with Twitter/X's data guidelines. This content is crucial for addressing the research focus on mental health discourse in social media. (References to prior Data in Brief publications involving Twitter/X data informed the dataset's structure.)
According to a March 2024 survey conducted in the United States, 32 percent of adults reported feeling that social media had neither a positive nor negative effect on their own mental health. Only seven percent of social media users said that online platforms had a very positive effect on their mental health, while 12 percent of users said it had a very negative impact. Furthermore, 22 percent of respondents said social media had a somewhat negative effect on their mental health. Is social media addictive? A 2023 survey of individuals between 11 and 59 years old in the United States found that over 73 percent of TikTok users agreed that the platform was addictive. Furthermore, nearly 27 percent of those surveyed reported experiencing negative psychological effects related to TikTok use. Users belonging to Generation Z were the most likely to say that TikTok is addictive, yet millennials felt the negative effects of using the app more so than Gen Z. In the U.S., it is also not uncommon for social media users to take breaks from using online platforms, and as of March 2024, over a third of adults in the country had done so. Following mental health-related content Although online users may be aware of the negative and addictive aspects of social media, it is also a useful tool for finding supportive content. In a global survey conducted in 2023, 32 percent of social media users followed therapists and mental health professionals on social media. Overall, 24 percent of respondents said that they followed people on social media if they had the same condition as they did. Between January 2020 and March 2023, British actress and model Cara Delevingne was the celebrity mental health activist with the highest growth in searches tying her name to the topic.
In the United States, the prevalence of mental illness in the past year is more common among females than males and more common among the young than the old. As of 2023, some 26.4 percent of females reported some type of mental illness in the past year, compared to 19 percent of males. Common forms of mental illness include depression, anxiety disorders, and mood disorders. Depression Depression is one of the most common mental illnesses in the United States. Depression is defined by prolonged feelings of sadness, hopelessness, and despair leading to a loss of interest in activities once enjoyed, a loss of energy, trouble sleeping, and thoughts of death or suicide. It is estimated that around five percent of the U.S. population suffers from depression. Depression is more common among women with around six percent of women suffering from depression compared to four percent of men. Mental illness and substance abuse Data has shown that those who suffer from mental illness are more likely to suffer from substance abuse than those without mental illness. Those with mental illness are more likely to use illicit drugs such as heroin and cocaine, and to abuse prescription drugs than those without mental illness. As of 2023, around 7.9 percent of adults in the United States suffered from co-occuring mental illness and substance use disorder.
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Graph and download economic data for Medical Services Expenditures by Disease: Mental Illness Price Index, Blended Account Basis (MNINEIPIBLEND) from 2000 to 2021 about mental health, disease, physicians, healthcare, medical, health, expenditures, services, price index, indexes, price, and USA.
In 2023, over 20 percent of Hispanics in the U.S. reported that they had any mental illness in the past year. This statistic shows the percentage of U.S. Hispanic or Latino adults with any mental illness in the past year from 2008 to 2023.
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Graph and download economic data for Medical Services Expenditures per Capita by Disease: Mental Illness , MEPS Account Basis (MNINEIPCMEPS) from 2000 to 2021 about mental health, disease, physicians, healthcare, medical, health, expenditures, per capita, services, and USA.
According to a survey conducted in the U.S. in 2023, ten percent of Gen Z respondents indicated that their mental health was 'poor', the highest across all generations. On the other hand, four in ten respondents from the baby boomer generation reported their mental health was excellent. This statistic illustrates the self-reported mental health status of Americans as of 2023
In 2023, it was estimated that nearly 32 percent of men aged 30 to 34 suffered from some mental illness, and 8.7 percent of those in this age group suffered from serious mental illness. This statistic shows the percentage of U.S. men with any or serious mental illness in the past year in 2023, by age.
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Social Media Mental Health Statistics: Social media has many uses, but it often causes the most harm to younger users. Teens face significant mental health issues due to social media, and the COVID-19 pandemic made things worse by increasing screen time and social media use. This created more opportunities for teens to encounter online problems, worsening the situation.
Teens also use social media to find communities and interest groups, watch live streams, and support good causes. It’s important to US teens that they feel welcome and safe online. Despite some problems, social media offers many chances for connection and entertainment. We shall shed more light on the Social Media Mental Health Statistics through this article.
Database of the nation''s substance abuse and mental health research data providing public use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health. The goal is to increase the use of the data to most accurately understand and assess substance abuse and mental health problems and the impact of related treatment systems. The data include the U.S. general and special populations, annual series, and designs that produce nationally representative estimates. Some of the data acquired and archived have never before been publicly distributed. Each collection includes survey instruments (when provided), a bibliography of related literature, and related Web site links. All data may be downloaded free of charge in SPSS, SAS, STATA, and ASCII formats and most studies are available for use with the online data analysis system. This system allows users to conduct analyses ranging from cross-tabulation to regression without downloading data or relying on other software. Another feature, Quick Tables, provides the ability to select variables from drop down menus to produce cross-tabulations and graphs that may be customized and cut and pasted into documents. Documentation files, such as codebooks and questionnaires, can be downloaded and viewed online.
Number and percentage of persons based on the perception of their mental health status, by age group and sex.
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This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.
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Dehydrated tweets about COVID-19 in Spanish and English languages. Reddit Mental Health dataset extracted of subreddits as r\mentalhealth, r\anxiety or r\depression
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Graph and download economic data for Real Medical Services Expenditures by Disease: Mental Illness , MEPS Account Basis (MNINEIREXMEPS) from 2000 to 2021 about mental health, disease, physicians, healthcare, medical, health, expenditures, services, real, and USA.
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United States - Total Revenue for Offices of Mental Health Practitioners, Excluding Physicians, Establishments Subject to Federal Income Tax, Employer Firms was 20102.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Offices of Mental Health Practitioners, Excluding Physicians, Establishments Subject to Federal Income Tax, Employer Firms reached a record high of 20102.00000 in January of 2022 and a record low of 3173.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Offices of Mental Health Practitioners, Excluding Physicians, Establishments Subject to Federal Income Tax, Employer Firms - last updated from the United States Federal Reserve on July of 2025.
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All Employees: Health Care: Residential Intellectual and Developmental Disability, Mental Health and Substance Abuse Facilities in New York was 76.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, All Employees: Health Care: Residential Intellectual and Developmental Disability, Mental Health and Substance Abuse Facilities in New York reached a record high of 78.40000 in January of 2019 and a record low of 29.40000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Health Care: Residential Intellectual and Developmental Disability, Mental Health and Substance Abuse Facilities in New York - last updated from the United States Federal Reserve on July of 2025.
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United States - Total Revenue for Outpatient Mental Health and Substance Abuse Centers, All Establishments, Employer Firms was 30799.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Outpatient Mental Health and Substance Abuse Centers, All Establishments, Employer Firms reached a record high of 30799.00000 in January of 2022 and a record low of 7013.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Outpatient Mental Health and Substance Abuse Centers, All Establishments, Employer Firms - last updated from the United States Federal Reserve on June of 2025.
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United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Primary Services was 161.67200 Index Dec 1993=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Primary Services reached a record high of 161.67200 in May of 2025 and a record low of 100.00000 in December of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Primary Services - last updated from the United States Federal Reserve on July of 2025.
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United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: All Other Patients: General/Family Practice was 120.00000 Index Jun 2014=100 in March of 2018, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: All Other Patients: General/Family Practice reached a record high of 120.00000 in March of 2018 and a record low of 99.60000 in November of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: All Other Patients: General/Family Practice - last updated from the United States Federal Reserve on June of 2025.
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United States - Total Revenue for Residential Mental Health and Substance Abuse Facilities, All Establishments, Employer Firms was 24321.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Residential Mental Health and Substance Abuse Facilities, All Establishments, Employer Firms reached a record high of 24321.00000 in January of 2022 and a record low of 4273.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Residential Mental Health and Substance Abuse Facilities, All Establishments, Employer Firms - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is structured as a graph, where nodes represent users and edges capture their interactions, including tweets, retweets, replies, and mentions. Each node provides detailed user attributes, such as unique ID, follower and following counts, and verification status, offering insights into each user's identity, role, and influence in the mental health discourse. The edges illustrate user interactions, highlighting engagement patterns and types of content that drive responses, such as tweet impressions. This interconnected structure enables sentiment analysis and public reaction studies, allowing researchers to explore engagement trends and identify the mental health topics that resonate most with users.
The dataset consists of three files: 1. Edges Data: Contains graph data essential for social network analysis, including fields for UserID (Source), UserID (Destination), Post/Tweet ID, and Date of Relationship. This file enables analysis of user connections without including tweet content, maintaining compliance with Twitter/X’s data-sharing policies. 2. Nodes Data: Offers user-specific details relevant to network analysis, including UserID, Account Creation Date, Follower and Following counts, Verified Status, and Date Joined Twitter. This file allows researchers to examine user behavior (e.g., identifying influential users or spam-like accounts) without direct reference to tweet content. 3. Twitter/X Content Data: This file contains only the raw tweet text as a single-column dataset, without associated user identifiers or metadata. By isolating the text, we ensure alignment with anonymization standards observed in similar published datasets, safeguarding user privacy in compliance with Twitter/X's data guidelines. This content is crucial for addressing the research focus on mental health discourse in social media. (References to prior Data in Brief publications involving Twitter/X data informed the dataset's structure.)