Of the U.S. college students surveyed in 2024, the majority agreed to some extent that student health and well-being was a priority at their college or university. This statistic shows the percentage of college students in the U.S. who agreed or disagreed that students' health and well-being is a priority at their institution as of fall 2024.

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.

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.

A survey from February 1, 2023 found that only 25 percent of employees in the U.S. felt that their organization cared about their wellbeing. This statistic shows the percentage of employees in the United States who felt their organization cared about their wellbeing from 2010 to 2023.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Health and wellbeing franchise. Source: Google Analytics

The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.

The Community Well-Being (CWB) Index is a method of assessing socio-economic well-being in Canadian communities. Various indicators of socio-economic well-being, including education, labour force activity, income and housing, are derived from Statistics Canada's Census of Population and combined to give each community a well-being "score". These scores are used to compare well-being across First Nations and Inuit communities with well-being in other Canadian communities. Indicator values may be missing for a community because of non-participation in the census, inadequate data quality, or insufficient population size. For more information on the subject, visit https://www.sac-isc.gc.ca/eng/1100100016579.

According to the data, among large firms, 83 percent of workers were covered by self-funded insurance plans in 2023. This statistic depicts the percentage of workers covered by self-funded health insurance plans in the U.S. as of 2023, by firm size.

Percentage of responses in range 0-6 out of 10 (corresponding to 'low wellbeing') for 'Happy Yesterday' in the First ONS Annual Experimental Subjective Wellbeing survey.

The Office for National Statistics has included the four subjective well-being questions below on the Annual Population Survey (APS), the largest of their household surveys.

• Overall, how satisfied are you with your life nowadays?
• Overall, to what extent do you feel the things you do in your life are worthwhile?
• Overall, how happy did you feel yesterday?
• Overall, how anxious did you feel yesterday?

This dataset presents results from the third of these questions, "Overall, how happy did you feel yesterday?" Respondents answer these questions on an 11 point scale from 0 to 10 where 0 is ‘not at all’ and 10 is ‘completely’. The well-being questions were asked of adults aged 16 and older.

Well-being estimates for each unitary authority or county are derived using data from those respondents who live in that place. Responses are weighted to the estimated population of adults (aged 16 and older) as at end of September 2011.

The data cabinet also makes available the proportion of people in each county and unitary authority that answer with ‘low wellbeing’ values. For the ‘happy yesterday’ question answers in the range 0-6 are taken to be low wellbeing.

This dataset contains the percentage of responses in the range 0-6. It also contains the standard error, the sample size and lower and upper confidence limits at the 95% level.

The ONS survey covers the whole of the UK, but this dataset only includes results for counties and unitary authorities in England, for consistency with other statistics available at this website.

At this stage the estimates are considered ‘experimental statistics’, published at an early stage to involve users in their development and to allow feedback. Feedback can be provided to the ONS via this email address.

The APS is a continuous household survey administered by the Office for National Statistics. It covers the UK, with the chief aim of providing between-census estimates of key social and labour market variables at a local area level. Apart from employment and unemployment, the topics covered in the survey include housing, ethnicity, religion, health and education. When a household is surveyed all adults (aged 16+) are asked the four subjective well-being questions.

The 12 month Subjective Well-being APS dataset is a sub-set of the general APS as the well-being questions are only asked of persons aged 16 and above, who gave a personal interview and proxy answers are not accepted. This reduces the size of the achieved sample to approximately 120,000 adult respondents in England.

The original data is available from the ONS website.

Detailed information on the APS and the Subjective Wellbeing dataset is available here.

As well as collecting data on well-being, the Office for National Statistics has published widely on the topic of wellbeing. Papers and further information can be found here.

Annual estimates of life satisfaction, feeling that the things done in life are worthwhile, happiness and anxiety in the UK, by national, country, regional, county, local and unitary authority level and personal characteristics including analysis on the characteristics that are most likely to impact personal well-being.

This release presents experimental statistics from the Mental Health Services Data Set (MHSDS), using final submissions for March 2016. This is the fourth monthly release from the dataset, which replaces the Mental Health and Learning Disabilities Dataset (MHLDDS). As well as analysis of waiting times, first published in March 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. Because of the scope of the changes to the dataset (resulting in the name change to MHSDS and the new name for these monthly reports) it will take time to re-introduce all possible measures that were previously part of the MHLDS Monthly Reports. Additional measures will be added to this report in the coming months. Further details about these changes and the consultation that informed were announced in November. From January 2016 the release includes information on people in children and young people's mental health services, including CAMHS, for the first time. Learning disabilities services have been included since September 2014. The expansion in the scope of the dataset means that many of the basic measures in this release now cover a wider set of services. We have introduced service level breakdowns for some measures to provide new information to users, but also, importantly, to provide comparability with key measures that were part of the previous monthly release. This release of final data for March 2016 comprises: - An Executive Summary, which presents national-level analysis across the whole dataset and also for some specific service areas and age groups - Data tables about access and waiting times in mental health services for the based on final data for the period 1 January 2016 to 31 March 2016. In addition to National and Provider level, Clinical Commissioning Group (CCG) level statistics are included in this release for the first time. - A monthly data file which presents 90 measures at National, Provider and Clinical Commissioning Group (CCG) level - A Currency and Payments (CAP) data file, containing three measures relating to people assigned to Adult Mental Health Care Clusters. Further measures will be added in future releases. - Exploratory analysis of the coverage and completeness of information regarding people in contact with perinatal mental health services, and of the use of SNOMED CT within MHSDS. - A set of provider level data quality measures. - A metadata file, which provide contextual information for each measure, including a full description, current uses, method used for analysis and some notes on usage. We will release the reports as experimental statistics until the characteristics of data flowed using the new data standard are understood. A correction has been made to this publication on 10 September 2018. This amendment relates to statistics in the monthly CSV data file; the specific measures effected are listed in the “Corrected Measures” CSV. All listed measures have now been corrected. NHS Digital apologises for any inconvenience caused.

The dataset collection in question consists of a group of related data tables which have been sourced from the website of Tilastokeskus (Statistics Finland) in Finland. The content within these tables is organized in a tabular format, comprising of columns and rows that hold related data. The description provided by Tilastokeskus's service interface (WFS) indicates that this dataset collection contains statistical data on well-being in various regions. Therefore, this dataset collection offers a comprehensive overview of well-being data for different areas, making it a valuable resource for researchers, planners, and policy makers who are interested in studying and improving well-being in Finland. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi). Tables Version History of Well-being Areas 2022 (1:4 500 000) TableTSV The 'table_history' is a part of the 'tilastointialueet_hyvinvointialue4500k_2022' dataset collection. This table is known as a history table, which keeps track of the version history of its base table rows. The base table's content, 'Hyvinvointialueet 2022 (1:4 500 000)', translates to 'Wellbeing Areas 2022 (1:4 500 000)' in English. This information suggests that the table contains geographic and demographic data relating to different wellbeing areas in the year 2022. The table has unique columns to maintain its historical nature. There is a column for the start date, indicating when the row was first added, and an end date, indicating when a new version of the row was added. If the end date is null, it signifies that the row is the most recent version. Another unique feature of...

This table contains information on the wellbeing of the Dutch population aged 18 years and older in terms of happiness and satisfaction with life. These subjects are broken down by various characteristics of material living conditions, i.e. standardised income, frequency of holidays and living situation. The data are also broken down by personal characteristics, that is gender, age and origin. The data are based on the Health Interview Survey (POLS, 2003-2009), the Voluntary Work and Social Cohesion module (V&S, 2010 old method), the Social Cohesion and Well-being survey (SocSam, 2010 new method, 2012) and the Social Statistics Database (SSB). Data on household income and living situation from the SSB were added to POLS data for the years 2003 up to and including 2009. From 2010 onwards data were supplemented with the SSB data from the previous year. Data available from 2003 till 2012. Status of the figures: The figures in this table are definite. Changes as of 16 January 2015: This table has been discontinued. Changes as of 16-12-2013: In 2010 the survey was redesigned. As a consequence, statistics from 2010 onwards are not completely comparable to statistics from previous years. For 2010 there are statistics based on both the old as well as the new method. More information on the redesign can be found in paragraph 4. When will new figures be published? Not applicable.

This table contains 93984 series, with data for years 2002 - 2002 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Newfoundland and Labrador; Nova Scotia ...), Age group (4 items: 65 years and over;25 to 64 years;15 to 24 years; Total; 15 years and over ...), Sex (3 items: Both sexes; Females; Males ...), Mental health and well-being profile (89 items: Total population for the variable major depressive episode; Major depressive episode; all measured criteria are met; Major depressive episode; measured criteria not met; Major depressive episode; not stated ...), Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons ...).

This dataset comes from the Community Survey questions relating to the Community Health & Well-Being performance measure: "With “10” representing the best possible life for you and “0” representing the worst, how would you say you personally feel you stand at this time?" and "With “10” representing the best possible life for you and “0” representing the worst, how do you think you will stand about five years from now?" – the results of both scores are then used to assess a Cantril Scale which is a way of assessing general life satisfaction. As per the Cantril Self-Anchoring Striving Scale the three categories of identification are as follows: Thriving – Respondents rate their current life as a 7 or higher AND their future life as an 8 or higher. Struggling – Respondents either rate their current life moderately (5 or 6) OR rate their future life moderately (5, 6 or 7) or negatively (0 to 4). Suffering – Respondents rate their current life negatively (0 to 4) AND their future life negatively (0 to 4). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Community Health and Well-Being performance measure.The performance measure dashboard is available at 3.34 Community Health and Well-Being.Additional InformationSource: Community Attitude Survey (Vendor: ETC Institute)Contact: Adam SamuelsContact email: adam_samuels@tempe.govPreparation Method: Survey results from two questions are calculated to create a Cantril Scale value that falls into the categories of Thriving, Struggling, and Suffering.Publish Frequency: AnnuallyPublish Method: ManualData Dictionary

This table contains information on the wellbeing of the Dutch population aged 18 years and older in terms of happiness and satisfaction with life. These subjects are broken down by the highest completed level of education and a number of labour-related characteristics, that is socio-economic category and main source of income for the household. The data are also broken down by personal characteristics, that is gender, age and origin. The data are based on the Health Interview Survey (POLS, 2003-2009), the Voluntary Work and Social Cohesion module (V&S, 2010 old method), the Social Cohesion and Well-being survey (SocSam, 2010 new method, 2012) and the Social Statistics Database (SSB). Data on household income and living situation from the SSB were added to POLS data for the years 2003 up to and including 2009. From 2010 onwards data were supplemented with the SSB data from the previous year.

Data available from 2003 till 2012.

Status of the figures: The figures in this table are definite.

Changes as of 16 January 2015: This table has been discontinued.

Changes as of 16-12-2013: In 2010 the survey was redesigned. As a consequence, statistics from 2010 onwards are not completely comparable to statistics from previous years. For 2010 there are statistics based on both the old as well as the new method. More information on the redesign can be found in paragraph 4.

When will new figures be published? Not applicable.

The Katie A. Settlement Agreement requires the Department of Health Care Services (DHCS) to collect and post data used to evaluate utilization of services and timely access to appropriate care. These county datasets show services used by children and youth (under the age of 21) identified as Katie A. Subclass members and/or utilizing Katie A. specialty mental health services (Intensive Care Coordination, Intensive Home Based Services, and Therapeutic Foster Care). This data assists in evaluating each county’s progress with implementing.

The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement includes variables from the core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1991 [ICPSR 6049]), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. The variables unique to this supplement cover 12 topic areas that relate to the United States Department of Health and Human Services' "Healthy Year 2000" objectives: environmental health (radon, smoking in the home, and lead paint), tobacco (smoking history, use of tobacco, and health), nutrition (weight control and exercise), immunization and infectious disease (vaccinations and foreign travel), occupational safety and health (seat-belt use, smoking in the workplace, and wellness programs), heart disease and stroke (blood pressure and cholesterol concerns), other chronic and disabling conditions (diabetes, glaucoma, asthma, and mobility problems), clinical and preventive services (seat-belt usage and complete physical exam), physical activity and fitness (types and frequency of physical activity), alcohol (drinking history in past year), mental health (feelings of anger, depression, and boredom recently), and oral health (dental visits in past year).

This table contains information on the wellbeing of the Dutch population aged 18 years and older in terms of happiness and satisfaction with life. These subjects are broken down by various characteristics of social participation and institutional trust, i.e. participation in club activities, church attendance, participation in political activities, doing volunteer work, trust in the House of Representatives, the police and the judiciary. The data are also broken down by personal characteristics, that is gender, age and origin. The data are based on the Health Interview Survey (POLS, 2003-2009), the Voluntary Work and Social Cohesion module (V&S, 2010 old method) and the Social Cohesion and Well-being survey (SocSam, 2010 new method, 2012). Data available from 2003 till 2012. Status of the figures: The figures in this table are definite. Changes as of 16 January 2015: This table has been discontinued. Changes as of 16-12-2013: In 2010 the survey was redesigned. As a consequence, statistics from 2010 onwards are not completely comparable to statistics from previous years. For 2010 there are statistics based on both the old as well as the new method. More information on the redesign can be found in paragraph 4. When will new figures be published? Not applicable.

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.