As of 2023, around 19 percent of Hispanic adults in the United States reported currently having or being treated for depression, compared to 16 percent of Black adults. This statistic shows the percentage of adults in the United States who currently had or were being treated for depression in 2017 and 2023, by race and ethnicity.

In April 2021, around 25.5 percent of U.S. black, non-Hispanic public health workers reported having depression in the past 2 weeks, while 32.4 percent of white, non-Hispanic health workers reported the same. 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 race/ethnicity.

In 2014, 14.5% of White British people were being treated for mental or emotional problems when surveyed, the highest percentage out of all ethnic groups.

Unduplicated client count for DMHAS programs by clients' race.

The dataset provides information on the mental health of women belonging to other races.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study examined differences in youth's mental health and substance abuse needs in seven different racial/ethnic groups of justice-involved youth. Using de-identified data from the Survey of Youth in Residential Placement (SYRP), it was assessed whether differences in mental health and substance abuse needs and services existed in a racially/ethnically diverse sample of youth in custody. Data came from a nationally representative sample of 7,073 youth in residential placements across 36 states, representing five program types. An examination of the extent to which there were racial/ethnic disparities in the delivery of services in relation to need was also conducted. This examination included assessing the differences in substance-related problems, availability of substance services, and receipt of substance-specific counseling. One SAS data file (syrp2017.sas7bdat) is included as part of this collection and has 138 variables for 7073 cases, with demographic variables on youth age, sex, race and ethnicity. Also included as part of the data collection are two SAS Program (syntax) files for use in secondary analysis of youth mental health and substance use.

Black people were 3.5 times more likely to be detained than white people under the Mental Health Act in the year to March 2023.

Between 2017 and 2018, nearly 12 percent of white, non-Hispanic children and adolescents aged 3 to 17 years in the United States had a consultation with a mental health professional. This statistic illustrates the percentage of children and adolescents in the U.S. who received any mental health treatment or services from 2013 to 2019, by race/ethnicity.

In 2021, around ** percent of multiracial high school students in the United States reported experiencing poor mental health in the past 30 days, compared to ** percent of Asian students. This graph presents the percentage of high school students in the United States who experienced poor mental health in the past 30 days, by race/ethnicity.

In 2020, around 24 percent of non-Hispanic white adults 18 years and older in the United States received some mental health treatment in the past 12 months, compared to less than 15 percent of non-Hispanic black adults. This statistic illustrates the percentage of U.S. adults aged 18 years and older who had received any mental health treatment or medication in the past 12 months in 2020, by race.

Abstract Background The psychosocial aspects of work are sources of occupational stress, with impacts on mental health. This relationship can be determined by gender and race/skin color. Objective To evaluate the association between occupational stressors and mental health, focusing on gender and race/skin color inequalities among healthcare workers. Method Cross-sectional study with 3,084 healthcare workers from Bahia. Occupational stressors were assessed using the demand-control (CDM) model, using the Job Content Questionnaire. The outcome variable, common mental disorders (CDM), was assessed by the SRQ-20. A descriptive, bivariate, and multivariate analysis was carried out, stratified by gender and race/skin color. Results The prevalence of CMD was higher among women (black: 23.7%, and non-black: 19.6%) than among men (blacks: 17.6%, and non-blacks: 14.7%). There was an association of CMD with all groups of the MDC, for black women, and with active and highly demanding work among non-black women. Among men, the association was not statistically significant. Conclusion Differences in gender and race/skin color were observed in the occurrence of CMD and in the association with occupational stressors, with higher prevalence among women, especially black women.

The dataset provides information on the mental health of White women

Unduplicated Client Count by Ethnicity and DMHAS Treatment Program

This dataset provides information related to the claims that serviced mental health patients. It contains information about the total number of patients, total number of claims, and total dollar amount, grouped by recipient race and gender. Restricted to claims with service date between 01/2016 to 12/2016. Patients with mental health problems is identified by a list of mental health patients matched to their Medicare recipient id from DMHA. ER claims are defined as claims with CPT codes: 99281, 99282, 99283, 99284, and 99285. Providers are billing providers. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.

Data reflects the results of a 3 (Disorder; Depression, Schizophrenia, Health control) by 3 (Race: Asian, Black, White) experimental study in which we measured stigma and racial stereotypicality as outcome measures.

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

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.

This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received mental health (MH) or substance use disorder (SUD) services, overall and by six subpopulation topics: age group, sex or gender identity, race and ethnicity, urban or rural residence, eligibility category, and primary language. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, ages 12 to 64 at the end of the calendar year, who were not dually eligible for Medicare and were continuously enrolled with comprehensive benefits for 12 months, with no more than one gap in enrollment exceeding 45 days. Enrollees who received services for both an MH condition and SUD in the year are counted toward both condition categories. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and select states with TAF data quality issues are not included. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Medicaid and CHIP enrollees who received mental health or SUD services in 2020." Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a sex or gender identity subpopulation using their latest reported sex in the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to an eligibility category subpopulation using their latest reported eligibility group code, CHIP code, and age in the calendar year. Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

Objectives: Define the role of increasing cannabis availability on population mental health (MH).

Methods. Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking. Data analysis: two-stage and geotemporospatial methods in R.

Results: 410,138 NSDUH respondents. Average response rate 76.7%. When all drug exposure, ethnicity and income variables were combined in final geospatiotemporal models tobacco, alcohol cannabis exposure, and various ethnicities were significantly related to all four major mental health outcomes. Cannabis exposure alone was related to any mental illness (β-estimate= -3.315+0.374, P<2.2x10-16), major depressive episode (β-estimate= -3.712+0.454, P=3.0x10-16), serious mental illness (SMI, β-estimate= -3.063+0.504, P=1.2x10-9), suicidal ideation (β-estimate= -3.013+0.436, P=4.8x10-12) and with more significant interactions in each case (from β-estimate= 1.844+0.277, P=3.0x10-11). Geospatial modelling showed a monotonic upward trajectory of SMI which doubled (3.62% to 7.06%) as cannabis use increased. Extrapolated to whole populations cannabis decriminalization (4.35+0.05%, Prevalence Ratio (PR)=1.035(95%C.I. 1.034-1.036), attributable fraction in the exposed (AFE)=3.28%(3.18-3.37%), P<10-300) and legalization (4.66+0.09%, PR=1.155(1.153-1.158), AFE=12.91% (12.72-13.10%), P<10-300) were associated with increased SMI vs. illegal status (4.26+0.04%).

Conclusions: Data show all four indices of mental ill-health track cannabis exposure and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use-exposure is indicated.

The dataset provides information on the mental health of Hispanic women