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.

In 2023, it was estimated that 19 percent of men in the U.S. had some type of mental illness in the past year. This statistic shows the percentage of U.S. men who had any mental illness in the past year from 2008 to 2023.

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)

This application provided a way for the public to explore and analyze VA Mental Health Statistics (FY2015 Annual Datasheet).

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.

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 2023, it was estimated that 26.4 percent of women in the U.S. had some type of mental illness in the past year. This statistic shows the percentage of U.S. women who had any mental illness in the past year from 2008 to 2023.

Population aged 12 and over who reported perceiving their own mental health status as being excellent or very good or fair or poor, depending on the indicator. Perceived mental health refers to the perception of a person's mental health in general. Perceived mental health provides a general indication of the population suffering from some form of mental disorder, mental or emotional problems, or distress, not necessarily reflected in perceived health.

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.

Overview of Mental Health Resources in the Year 105

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.

This publication contains the official statistics about uses of the Mental Health Act ('the Act') in England during 2022-23. 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. People may be detained in secure psychiatric hospitals, other NHS Trusts or at Independent Service Providers (ISPs). All organisations that detain people under the Act must be registered with the Care Quality Commission (CQC). In recent years, the number of detentions under the Act have been rising. An independent review has examined how the Act is used and has made recommendations for improving the Mental Health Act legislation. In responding to the review, the government said it would introduce a new Mental Health Bill to reform practice. This publication does not cover: 1. People in hospital voluntarily for mental health treatment, as they have not been detained under the Act (see the Mental Health Bulletin). 2. Uses of section 136 where the place of safety was a police station; these are published by the Home Office.

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.

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

This publication provides the most timely statistics available relating to NHS funded secondary mental health, learning disabilities and autism services in England. This information will be of use to people needing access to information quickly for operational decision making and other purposes. These statistics are derived from submissions made using version 3.0 of the Mental Health Services Dataset (MHSDS). This edition includes final statistics for March 2019. NHS Digital review the quality and completeness of the submissions used to create these statistics on an ongoing basis. More information about this work can be found in the Accuracy and reliability section of this report. Fully detailed information on the quality and completeness of particular statistics in this release is not available due to the timescales involved in reviewing submissions and engaging with data providers. The information that has been obtained at the time of publication is made available in the Provider Feedback sections of the Data Quality Reports which accompany this release. Information gathered after publication is released in future editions of this publication series. More detailed information on the quality and completeness of these statistics and a summary of how these statistics may be interpreted is made available later in our Mental Health Bulletin: Annual Report publication series. All elements of this publication, other editions of this publication series, and related annual publication series' can be found in the Related Links below. Please note the following: The Quarter 4 Children and Young People Receiving Second Contact With Services measure will not be included in the June 2019 publication. A validation of this data is currently underway; we expect statistics for the full 2018-19 financial year to be published in the July 2019 publication. This publication includes annual statistics for the 2018-19 year: Annual - People in contact with services - April 2018 to March 2019, with age group breakdowns and Annual - People in contact with services with a hospital provider spell - April 2018 to March 2019, with age group breakdowns. Further annual statistics will be published in the annual Mental Health Bulletin in the Autumn. It was intended that data quality statistics for Provisional April 2019 data, collected via the newly introduced Strategic Data Collection Service (SDCS), be published alongside this publication; due to system issues this has not been possible. An update on this will be given alongside the next publication, published July 2019. As part of the update to include the provider XenZone/ Kooth in the Children and Young People Receiving Second Contact With Services measure (MHS69), in the 2019-20 year, Final March 2019 analysis was to be presented here; this was added here 17 July 2019. NHS Digital apologises for any inconvenience caused. The provider breakdown for AMH04 (People in contact with adult mental health services on CPA at the end of RP with HoNOS recorded) has not been included in this publication and will not be included in future publications until the cause is rectified. NHS Digital will inform users once this issue has been resolved. NHS Digital apologises for any inconvenience caused.

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 dataset is no longer updated as of April 2023.

Basic Metadata Note: condition new in 2017. Variable measures findings or listed personal history of substance use and mental health conditions. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Mental Health reports the prevalence of the mental illness in the past year by age range.

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.

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.