Global Mental Health Disorders

Prevalence of Common Mental Health Conditions, 2005-2017

By Amit [source]

About this dataset

This dataset contains valuable information about the prevalence of mental health disorders including schizophrenia, bipolar disorder, eating disorders, anxiety disorders, drug use disorders, depression, and alcohol use disorders from various countries across the globe. Mental health is a critical and complex issue which touches us all and this dataset allows a deeper dive into the quantitative understanding of its prevalence and geographical distribution. With this data at hand one can gain insight on questions such as: which countries have rates of mental illness that are higher or lower than average? Which regions are disproportionately dealing with certain types of mental health disruptions? Who is struggling with particular types of illnesses? This data provides answers to those inquiries as well as helping us gain a better understanding of how we can take action towards increasing global awareness, prevention efforts, and access to vital resources that help individuals become healed and empowered

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How to use the dataset

This dataset provides information on the prevalence of mental health disorders globally, with data collected from various countries in a given year. It includes statistics on several types of mental health disorders, such as schizophrenia, bipolar disorder, eating disorders, anxiety disorders, drug use disorders and depression.

Using this dataset can provide useful insights into the prevalence of mental health conditions worldwide. This could be used to better understand how different countries are affected by mental health issues and to identify areas that may need more help or attention. The data is broken down by country or region and year to allow for a better understanding of trends over time.

To use this dataset effectively for research or data analysis purposes it is important to first familiarize yourself with the columns available in the dataset: Entity (country/region), Code (country code), Year (year in which the data was collected), Schizophrenia (%) , Bipolar Disorder (%) , Eating Disorders (%) , Anxiety Disorders (%) , Drug Use Disorders (%) , Depression (%) and Alcohol Use Disorders (%). Each column represents a specific type of mental health disorder and provides information on its prevalence rate in each country/region during that calendar year.

Once you have an understanding of these columns you can begin analyzing the data to gain further insights into global trends related to these mental health conditions. You might perform descriptive analyses such as finding average percentages across different groups (e.g., genders) or time periods, as well as performing inferential analyses like assessing relationships between different variables within your data set (e.g., correlation). Additionally you could create visualizations such as charts, maps or other graphics that help make sense out of large amounts of statistical information easily accessible to a wider audience

Research Ideas

• Creating age-group specific visualizations and infographics that compare the prevalence of mental health disorders in different countries or regions to better understand how the issue of depression or anxiety intersects with factors such as gender, culture, or socioeconomic status.
• Creating a global map visualization that shows the prevalence of different mental health disorders in different countries/regions to demonstrate disparities between places and provide a way for policy makers to better target areas most affected by these issues.
• Developing data visualizations exploring relationships between demographic variables (e.g., gender, age) and prevalence of mental health disorder types such as depression or anxiety disorders in order to gain insight into possible correlations between them

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: Mental health Depression disorder Data.csv | Column name | Description | |:------------------------------|:--------------------------------------------------------------------------------------| | Entity | The name of the country or region. (String) | | Code ...

In 2021, it was estimated that over **** 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.

These are the detailed tables pertaining to adult mental health from the 2010 National Survey on Drug Use and Health (NSDUH). These detailed tables present totals and prevalence estimates of past year any mental illness (AMI), serious mental illness (SMI), suicidal thoughts and behavior, major depressive episode (MDE), treatment for depression (among adults with MDE), mental health service utilization, and measuers related to the co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided for age group, gender, race/ethnicity, education level, employment status, poverty level, geographic area, insurance status. Comparisons are made between 2011 and 2002 to 2010.

Mental Illness Prevalence Across the US

Substate Level Estimates

By Substance Abuse and Mental Health Services Organization [source]

About this dataset

This dataset contains estimates of serious mental illness in the US by state and substate region from 2012-2014. This data helps to understand better the mental health disparities that exist between states and different regions within states. By looking at this data, researchers can identify the parts of the country with particularly high or low rates of serious mental illness, which can help prioritize resources for affected areas.

The dataset includes estimates along with 95% confidence intervals based on a survey-weighted hierarchical Bayes estimation approach and are generated by Markov Chain Monte Carlo techniques. Columns labeled Map Group can be used to distinguish substate regions included in corresponding maps as well as numerical order for sorting original sort order. For definitions in Substate Region, refer to the National Survey on Drug Use and Health's Substate Region Definitions found here: https://www.samhsa.gov/data/sites/default/files/NSDUHsubstateRegionDefs2014/NSDUHsubstateRegionDefs2014.pdf

This reliable information is provided by SAMHSA, Center for Behavioral Health Statistics and Quality through their National Survey on Drug Use and Health from 2012-2014; helping us gain insights into America’s overall mental health picture – revealing more about where help is needed most urgently so that we can take steps towards a healthier future for all Americans!

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How to use the dataset

Welcome to this dataset! This dataset contains estimates of Serious Mental Illnesses in the United States by state and substate region from 2012 to 2014. It is designed for researchers, analysts, and data scientists looking for information about the prevalence of Serious Mental Illnesses across the US.

Research Ideas

• Performing a trend analysis to identify changes in the estimates of serious mental illnesses over time and across different geographic regions.
• Exploring disparities in serious mental illnesses among certain minority groups or deprived socio-economic subgroups by comparing estimates at the substate level.
• Developing targeted public health strategies and interventions for states with higher than average rates of serious mental illness prevalence

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 redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: 2012-2014_Substate_SAE_Table_24.csv | Column name | Description | |:--------------------|:----------------------------------------------------------------------------------------------------------------------------------------------| | Order | A numerical order that can be used to sort the data back to its original order. (Numeric) | | State | The US state associated with the data. (String) | | Substate Region | The substate region associated with the data. (String) | | 95% CI (Lower) | The lower bound of the 95 percent confidence interval for the estimated number of people with serious mental illness in the region. (Numeric) | | 95% CI (Upper) | The upper bound of the 95 percent confidence interval for the estimated number of people with serious mental illness in the region. (Numeric) | | Map Group | A numerical value which can distinguish between different substate regions included in the maps. (Numeric) |

...

The Mental Health Depression Disorder dataset provides comprehensive information on the prevalence of various mental health disorders across different countries over multiple years. This dataset includes data on schizophrenia, bipolar disorder, eating disorders, anxiety disorders, drug use disorders, depression, and alcohol use disorders. It is a valuable resource for analyzing trends in mental health disorders and understanding the global burden of mental illness.

**Usage: **

This dataset can be used for analyzing trends in mental health disorders, comparing the prevalence of different disorders across countries and years, and conducting epidemiological research. It is valuable for researchers, public health officials, and mental health professionals aiming to understand and address the global burden of mental illness.

**Acknowledgements: **

We acknowledge the contributions of international health organizations and research institutions that made this data publicly available for research and analysis.

In 2023, about 159.3 out of 10,000 male inhabitants in Italy were treated in psychiatric hospitals for some kind of mental disorder. This statistic breaks down this figure by diagnosis. According to the data, schizophrenia and psychoses were the kind of mental diseases with the highest incidence among male patients, equal to 41.1 individuals per 10 thousand. The rate of men receiving care for depression was equal to 26.4 per 10 thousand inhabitants.

In 2014, 29% of Black women had experienced a common mental disorder in the week before being surveyed, a higher rate than for White women.

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.

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Context

A psychiatric disorder is a mental illness diagnosed by a mental health professional that greatly disturbs your thinking, moods, and/or behavior and seriously increases your risk of disability, pain, death, or loss of freedom. In addition, your symptoms must be more severe than expected in response to an upsetting event, such as normal grief after the loss of a loved one. A large number of psychiatric disorders have been identified. Chances are that, whether or not you or someone close to you has been diagnosed with a psychiatric disorder, you know something about one or more of the following examples:

• Depression
• Personality disorders
• Anxiety disorders
• Schizophrenia
• Eating disorders
• Addictive behaviors

Content

EEG Dataset with approx 1k attributes for identifying psychiatric disorders.

Acknowledgements

Park, S. M. (2021, August 16). EEG machine learning. Retrieved from osf.io/8bsvr Please credit the original author if you want to use this dataset for your research The Source of dataset is here

Psychiatric hospital activity statistics. Contains information on trends in inpatient activity, including data shown by NHS Board and diagnosis. Statistics on psychiatric readmissions are also published. Source agency: ISD Scotland (part of NHS National Services Scotland) Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Mental Health Inpatient Statistics

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

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 2024, some 26.7 percent of females reported some type of mental illness in the past year, compared to 20 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.

These detailed tables present totals and prevalence estimates of mental health related issues among adults aged 18 or older from the 2012 National Survey on Drug Use and Health (NSDUH). Tables with data on adults include measures on any mental illness (AMI), serious mental illness (SMI), moderate mental illness, low (mild) mental illness, mental health service utilization (i.e., mental health treatment or counseling), suicidal thoughts and behaviors, major depressive episode (MDE), treatment for depression (among adults with MDE), and serious psychological distress (SPD), and co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided by age group, gender, race/ethnicity, education level, employment status, county type, poverty level, insurance status, overal health, and geographic area. Comparisons are made between 2012 and 2011.

This statistic depicts the number of people worldwide with select mental health and substance use disorders as of 2021. According to the data, a total of 359.21 million people worldwide suffered from anxiety as of this time.

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.

Mental health is an essential part of people’s lives and society. Poor mental health affects our well-being, our ability to work, and our relationships with friends, family, and community.

Mental health conditions are not uncommon. Hundreds of millions suffer from them yearly, and many more do over their lifetimes. It’s estimated that 1 in 3 women and 1 in 5 men will experience major depression in their lives. Other conditions, such as schizophrenia and bipolar disorder, are less common but still have a large impact on people’s lives.

Mental illnesses are treatable, and the impact they have can be reduced. Despite this, treatment is often lacking or poor quality, and many feel uncomfortable sharing their symptoms with healthcare professionals or people they know. This also makes it difficult to estimate the actual prevalence of mental illnesses.

To support them, it’s essential to have good data to understand these conditions – how, when, and why they occur, how many people are affected by them, and how they can be treated effectively and safely.

Saloni Dattani, Lucas Rodés-Guirao, Hannah Ritchie and Max Roser (2023) - "Mental Health". Published online at OurWorldInData.org. Retrieved from [Online Resource]

Introduction

Mental Health Statistics: Mental health is vital to well-being, influencing how people think, feel, and act. In recent years, there has been increasing recognition of its significance as societies become more aware of the far-reaching effects mental health disorders have on individuals, families, and communities.

Mental health statistics provide crucial insights into these conditions' prevalence, causes, and consequences, enabling policymakers, healthcare providers, and researchers to understand emerging trends better. This data supports effective resource allocation and the development of targeted interventions to tackle mental health issues.

We can pinpoint high-risk groups and regions that require additional support by examining these trends. Additionally, these insights help inform public health initiatives focused on reducing stigma and promoting mental health awareness. Accurate statistics are essential for shaping evidence-based policies emphasizing prevention, early intervention, and improving access to mental health services. As mental health continues to gain attention, continuous data collection and research will be key to addressing the global mental health crisis effectively.

These are the detailed tables pertaining to adult mental health from the 2011 National Survey on Drug Use and Health (NSDUH). These detailed tables present totals and prevalence estimates for youths include major depressive episode (MDE), treatment for depression (among youths with MDE), mental health service utilization, and measures related to the co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided for age group, gender, race/ethnicity, education level, government assistance status, poverty level, geographic area, insurance status. Comparisons are made between 2011 and 2002 to 2010.

In April 2021, around 62.4 percent of U.S. transgender or nonbinary public health workers reported having depression in the past 2 weeks, compared to 32.3 percent and 28.2 percent of female and male health workers, respectively. The highest prevalence of symptoms of mental health conditions in the past 2 weeks was among transgender and nonbinary respondents. This statistic illustrates the prevalence of depression, anxiety, PTSD, and suicidal ideation in the past 2 weeks among public health workers in the United States as of April 2021, by gender.

These detailed tables present standard errors for totals and prevalence estimates of mental health related issues among adults aged 18 or older from the 2012 National Survey on Drug Use and Health (NSDUH). Tables with data on adults include measures on any mental illness (AMI), serious mental illness (SMI), moderate mental illness, low (mild) mental illness, mental health service utilization (i.e., mental health treatment or counseling), suicidal thoughts and behaviors, major depressive episode (MDE), treatment for depression (among adults with MDE), and serious psychological distress (SPD), and co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided by age group, gender, race/ethnicity, education level, employment status, county type, poverty level, insurance status, overal health, and geographic area. Comparisons are made between 2012 and 2011.