This statistic depicts the percentage of the global population with select mental health and substance use disorders as of 2017, by gender. According to the data, a total of 12.6 percent of males and 13.3 percent of females suffered from mental health or substance use disorders globally.

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.

Editor’s Choice

• The Global Mental Health Apps Market size is expected to be worth around USD 23.8 Billion by 2032 from USD 5.2 Billion in 2022, growing at a CAGR of 16.9 % during the forecast period from 2023 to 2032.
• According to a survey on mental wellness conducted in India in May 2022, about 61% of female and 55% of male respondents stated that they had used digital technologies such as apps and smart devices to manage their mental well-being.
• There are more than 10,000 mental health apps available in major app stores.
• About 86% of therapy clients believed that teletherapy sessions are more effective than in-person therapy.
• Artificial Intelligence and machine learning technologies are beneficial in developing predictive models for mental health conditions. AI algorithm could predict the onset of psychosis with 93% accuracy.
• Approximately 44% of individuals with mental health conditions do not receive treatment due to barriers such as stigma, cost, and limited access to providers.
• Around 70% of individuals reported that they would feel comfortable seeking mental health support from a Chatbot.

(Source: Statista, PsyberGuide, American Psychological Association, Nature, National Institute of Mental Health)

Introduction

Mental Health Statistics: Mental health refers to the emotional and psychological aspects of social health and well-being. The World Health Organization states it to be a condition where an individual can deal with the daily stress of life and work fruitfully without compromising on health. For the most part, it is an essential aspect that needs to be addressed to ensure holistic well-being.

Likewise, we will go through the Mental Health Statistics and learn about the relevant elements of this health topic and learn more about it.

According to a survey conducted in Japan in July 2024, 65 percent of respondents reported that they had not experienced any mental health issues in the past 12 months. Meanwhile, 25 percent of respondents stated that they had experienced such issues.

This publication contains the official statistics about uses of the Mental Health Act(1) ('the Act') in England during 2018-19. Under the Act, people with a mental disorder may be formally detained in hospital (or 'sectioned') in the interests of their own health or safety, or for the protection of other people. They can also be treated in the community but subject to recall to hospital for assessment and/or treatment under a Community Treatment Order (CTO). In 2016-17, the way we source and produce these statistics changed. Previously these statistics were produced from the KP90 aggregate data collection. They are now primarily produced from the Mental Health Services Data Set (MHSDS). The MHSDS provides a much richer data source for these statistics, allowing for new insights into uses of the Act. However, some providers that make use of the Act are not yet submitting data to the MHSDS, or submitting incomplete data. Improvements in data quality have been made over the past year. NHS Digital is working with partners to ensure that all providers are submitting complete data and this publication includes guidance on interpreting these statistics. Footnotes (1) The Mental Health Act 1983 as amended by the Mental Health Act 2007 and other legislation.

Introduction

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.

Mental Health in Tech Survey

Understanding Employee Mental Health Needs in the Tech Industry

By Stephen Myers [source]

About this dataset

This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. Mental health is an issue that affects all people of all ages, genders and walks of life. The prevalence of these issues within the tech industry–one that places hard demands on those who work in it–is no exception. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector.–and what kinds of resources they rely upon to find help–so that more can be done to create a healthier working environment for all.

This dataset tracks key measures such as age, gender and country to determine overall prevalence, along with responses surrounding employee access to care options; whether mental health or physical illness are being taken as seriously by employers; whether or not anonymity is protected with regards to seeking help; and how coworkers may perceive those struggling with mental illness issues such as depression or anxiety. With an ever-evolving landscape due to new technology advancing faster than ever before – these statistics have never been more important for us to analyze if we hope remain true promoters of a healthy world inside and outside our office walls

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How to use the dataset

In this dataset you will find data on age, gender, country, and state of survey respondents in addition to numerous questions that assess an individual's mental state including: self-employment status, family history of mental illness, treatment status and access or lack thereof; how their mental health condition affects their work; number of employees at the company they work for; remote work status; tech company status; benefit information from employers such as mental health benefits and wellness program availability; anonymity protection if seeking treatment resources for substance abuse or mental health issues ; ease (or difficulty) for medical leave for a mental health condition ; whether discussing physical or medical matters with employers have negative consequences. You will also find comments from survey participants.

To use this dataset effectively: - Clean the data by removing invalid responses/duplicates/missing values - you can do this with basic Pandas commands like .dropna() , .drop_duplicates(), .replace(). - Utilize descriptive statistics such as mean and median to draw general conclusions about patterns of responses - you can do this with Pandas tools such as .groupby() and .describe(). - Run various types analyses such as mean comparisons on different kinds of variables(age vs gender), correlations between different features etc using appropriate statistical methods - use commands like Statsmodels' OLS models (.smf) , calculate z-scores , run hypothesis tests etc depending on what analysis is needed. Make sure you are aware any underlying assumptions your analysis requires beforehand !
- Visualize your results with plotting libraries like Matplotlib/Seaborn to easily interpret these findings! Use boxplots/histograms/heatmaps where appropriate depending on your question !

Research Ideas

• Using the results of this survey, you could develop targeted outreach campaigns directed at underrepresented groups that answer “No” to questions about their employers providing resources for mental health or discussing it as part of wellness programs.
• Analyzing the employee characteristics (e.g., age and gender) of those who reported negative consequences from discussing their mental health in the workplace could inform employer policies to support individuals with mental health conditions and reduce stigma and discrimination in the workplace.
• Correlating responses to questions about remote work, leave policies, and anonymity with whether or not individuals have sought treatment for a mental health condition may provide insight into which types of workplace resources are most beneficial for supporting employees dealing with these issues

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redi...

VAMC-level statistics on the prevalence, mental health utilization, non-mental health utilization, mental health workload, and psychological testing of Veterans with a possible or confirmed diagnosis of mental illness. Information prepared by the VA Northeast Program Evaluation Center (NEPEC) for fiscal year 2015. This dataset is no longer supported and is provided as-is. Any historical knowledge regarding meta data or it's creation is no longer available. All known information is proved as part of this data set.

In 2021, it was estimated that over four percent of the total global population suffered from an anxiety disorder. This statistic depicts the percentage of the global population with select mental health disorders in 2021.

This is the second (wave 2) in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in February/March 2021, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education, and services during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2021 (MHCYP 2021), wave 2 follow up was based on 3,667 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing three primary aims: Aim 1: Comparing mental health between 2017 and 2021 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - Topic 2 examines the circumstances and experiences of children and young people in February/March 2021 and the preceding months, covering: COVID-19 infection and symptoms. Feelings about social media use. Family connectedness. Family functioning. Education, including missed days of schooling, access to resources, and support for those with Special Educational Needs and Disabilities (SEND). Changes in circumstances. How lockdown and restrictions have affected children and young people’s lives. Seeking help for mental health concerns. Aim 3: Present more detailed data on the mental health, circumstances and experiences of children and young people by ethnic group during the coronavirus pandemic (where sample sizes allow). The data is broken down by gender and age bands of 6 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories where a time series is available, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter.

Number and percentage of persons based on the perception of their mental health status, by age group and sex.

Introduction

Global Mental Health Apps Market Size is expected to be worth around US$ 26.2 billion by 2033 from US$ 6.3 billion in 2023, growing at a CAGR of 15.3% during the forecast period 2024 to 2033. In 2023, North America held over 38.7% market share, reaching a revenue total of US$ 2.4 Billion.

Advancements in smartphone technology are driving growth in the mental health apps market by facilitating easier identification of mental health issues. The widespread adoption of smartphones further supports this market expansion, along with a significant increase in the installation of mental health apps, particularly during the COVID-19 pandemic. These factors have collectively accelerated the development of the market.

There has been a shift away from traditional care models towards personalized mental health solutions offered by apps. These apps, which cater to needs ranging from meditation to managing anxiety and depression, play a crucial role in supporting psychological well-being and promoting a healthier, less stressful lifestyle. Moreover, the rising suicide rates have spurred the growth of the mental health apps industry. This growth is fueled by increasing awareness of mental health issues and the urgent need for easily accessible support options.

Mental health apps offer convenient early intervention tools such as self-assessment features and private counseling, focusing on user confidentiality and privacy. This emphasis on privacy encourages individuals to seek help for suicidal tendencies and various mental health conditions, further propelling the industry's expansion.

Approximately 19.86% of American adults, nearly 50 million individuals, are affected by mental illnesses. Of these, 4.91% experience severe mental health conditions. The prevalence of adult mental illness varies significantly across states, with New Jersey having the lowest rate at 16.37% and Utah the highest at 26.86%. According to the Substance Abuse and Mental Health Services Administration (SAMHSA), Any Mental Illness (AMI) encompasses diagnosable mental, behavioral, or emotional disorders that do not include developmental or substance use disorders, covering conditions from mild to severe.

Regarding substance use, about 7.74% of adults in the U.S. reported having a substance use disorder in the past year, with 2.97% reporting an illicit drug use disorder and 5.71% an alcohol use disorder. The state prevalence of substance use disorders among adults ranges from 5.98% in Florida to 12.30% in the District of Columbia.

A survey of 15 countries worldwide, fielded in May 2022, found that those in Australia and China were most likely to report currently experiencing mental health conditions such as depression and anxiety. This statistic shows the percentage of adults in select countries worldwide currently experiencing mental health conditions (e.g. depression, anxiety).

The measure shows the percentage of adults receiving secondary mental health services living independently at the time of their most recent assessment, formal review or other multidisciplinary care planning meeting. Adults 'in contact with secondary mental health services' is defined as those aged 18 to 69 who are receiving secondary mental health services and who are on the Care Programme Approach (CPA). 'Living independently, with or without support' refers to accommodation arrangements where the occupier has security of tenure or appropriate stability of residence in their usual accommodation in the medium-to-long-term, or is part of a household whose head holds such security of tenure/residence. These accommodation arrangements are recorded as settled accommodation in the Mental Health Minimum Data Set. The calculation of the measure was changed in 2013-14. Previously, outcome scores were calculated from annual totals from the MHMDS, whereas now the outcome is calculated each month and the ASCOF measure for the year is derived as an average of these monthly scores. In 2017-18 The Mental Health Services Dataset (MHSDS) methodology has also been updated so that only whole numbers are published. Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data Source: Mental Health Minimum Data Set'. Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Experimental statistics from the Mental Health Services Data Set (MHSDS), which replaces the Mental Health and Learning Disabilities Dataset (MHLDDS). As well as analysis of waiting times, first published in March 2016 using provisional submissions for January 2016, this release includes elements of the reports that were previously included in monthly reports produced from final MHLDDS submissions. It also includes some new measures.

This publication contains the official statistics about uses of the Mental Health Act(1) ('the Act') in England during 2020-21. Under the Act, people with a mental disorder may be formally detained in hospital (or 'sectioned') in the interests of their own health or safety, or for the protection of other people. They can also be treated in the community but subject to recall to hospital for assessment and/or treatment under a Community Treatment Order (CTO). In 2016-17, the way we source and produce these statistics changed. Previously these statistics were produced from the KP90 aggregate data collection. They are now primarily produced from the Mental Health Services Data Set (MHSDS). The MHSDS provides a much richer data source for these statistics, allowing for new insights into uses of the Act. However, some providers that make use of the Act are not yet submitting data to the MHSDS, or submitting incomplete data. Improvements in data quality have been made over the past year. NHS Digital is working with partners to ensure that all providers are submitting complete data and this publication includes guidance on interpreting these statistics. Please note: This publication covers the 2020-21 reporting year and, as such, it is likely the impact of COVID-19 may be evident as the national lockdown began on 23 March 2020. The time series data for people subject to detention does show a decrease in people subject to detention in March 2021 so the context of COVID-19 should be kept in mind when using and interpreting these statistics. Footnotes (1) The Mental Health Act 1983 as amended by the Mental Health Act 2007 and other legislation.

Mental Health Apps Market Outlook

The global mental health apps market size was valued at approximately USD 4.2 billion in 2023 and is expected to reach around USD 17.5 billion by 2032, growing at a robust CAGR of 17.3% during the forecast period. This remarkable growth is driven by increasing awareness about mental health, advancements in technology, and the rising prevalence of mental health disorders.

The surge in mental health issues, particularly among the younger population, is one of the primary growth factors for the mental health apps market. An increasing number of individuals are facing anxiety, depression, and stress, leading to a higher demand for accessible and affordable mental health solutions. Mental health apps offer a convenient way for individuals to manage their symptoms and seek help, bridging the gap between traditional therapy and self-care. Moreover, the stigma around mental health is gradually decreasing, encouraging more people to seek help through these apps.

The COVID-19 pandemic has significantly accelerated the demand for mental health apps, as lockdowns, social isolation, and the general uncertainty of the times have exacerbated mental health issues globally. This has led to an increased adoption of digital health solutions as a means to access mental health support. The convenience of accessing mental health services via smartphones has made these apps popular, especially when traditional services are either overwhelmed or inaccessible.

Advancements in technology have also played a crucial role in the growth of the mental health apps market. With the integration of artificial intelligence, machine learning, and data analytics, these apps are becoming more personalized and effective. They can now offer tailored content, real-time monitoring, and predictive analytics to provide better support to users. Furthermore, the increasing penetration of smartphones and internet connectivity worldwide has made these apps more accessible to a broader audience.

The development of Mental Health Software and Devices is a significant advancement in the realm of mental health care. These technologies are designed to complement mental health apps by providing more comprehensive solutions. They offer features such as remote patient monitoring, teletherapy, and integration with electronic health records, which enhance the ability of healthcare providers to deliver personalized care. The use of such devices can help in early diagnosis and continuous monitoring of mental health conditions, providing timely interventions. As these technologies become more sophisticated, they promise to bridge the gap between traditional mental health services and digital solutions, making mental health care more accessible and effective for a wider audience.

Regionally, North America holds the largest market share in the mental health apps market due to high awareness levels, advanced healthcare infrastructure, and the high prevalence of mental health issues. Europe follows closely, with countries like the UK and Germany showing significant adoption rates. The Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by increasing smartphone penetration, a growing middle class, and rising awareness about mental health. Latin America and the Middle East & Africa are also showing promising growth, albeit at a slower pace due to varying levels of healthcare infrastructure and awareness.

Platform Analysis

The platform segment of the mental health apps market is divided into iOS, Android, and Windows. Each of these platforms caters to a different segment of the population, and their usage patterns vary significantly. The iOS platform, for example, holds a substantial share of the market due to the high spending power of Apple users and the strong security features of the iOS operating system. These users are often willing to pay for premium features and subscriptions, contributing to higher revenue generation.

Android, on the other hand, dominates the market in terms of user numbers due to its widespread adoption and affordability. Android phones are more prevalent in emerging markets, where there is a growing need for mental health solutions. The open-source nature of Android also allows for a broader range of apps, catering to diverse needs and preferences. Despite the lower average revenue per user compared to iOS, the sheer volume of Android use

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. • COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, the quality and coverage of some of our statistics has been affected, for example by an increase in non-submissions for some datasets. We are also seeing some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period. • Early release of statistics To support the ongoing COVID-19 work, Provisional April 2021 monthly statistics were made available early and presented on our supplementary information pages. Please see the 'Supplementary information requests' section below. • Annual Statistics This publication includes annual statistics for the 2020-21 reporting year. Included are the number of People in contact with services - April 2020 to March 2021, and the number of People in contact with services with a hospital provider spell - April 2020 to March 2021, with age group breakdowns for both counts. In addition, the number of children and young people accessing NHS funded community mental health services (MHS69) - April 2020 to March 2021 are published here. Further annual statistics will be published in the annual Mental Health Bulletin. • Updates to measures For details of new measures, or changes to existing measures, see the 'Notes on Measures' page. Full details of any changes are also available in the associated Metadata file.

In 2024, around 69 percent of adults in Chile stated that mental health was the biggest health problem facing people in their country, while in Mexico only around 25 percent of adults stated the same. This statistic illustrates the percentage of adults worldwide who stated that mental health problems were the biggest health problems facing people in their country in 2024.