This table contains the number of victims of suicide arranged by marital status, method, motives, age and sex. They represent the number deaths by suicide in the resident population of the Netherlands. The figures in this table are equal to the suicide figures in the causes of death statistics, because they are based on the same files. The causes of death statistics do not contain information on the motive of suicide. For the years 1950-1995, this information is obtained from a historical data file on suicides. For the years 1996-now the motive is taken from the external causes of death (Niet-Natuurlijke dood) file. Before the 9th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), i.e. for the years 1950-1978, it was not possible to code "jumping in front of train/metro". For these years 1950-1978 "jumping in front of train/metro" has been left empty, and it has been counted in the group "other method". Relative figures have been calculated per 100 000 of the corresponding population group. The figures are calculated based on the average population of the corresponding year. Data available from: 1950 Status of the figures: The figures up to and including 2023 are final. Changes as of January 23rd 2025: The figures for 2023 are made final. When will new figures be published: In the third quarter of 2025 the provisional figures for 2024 will be published.

Provisional rate and number of suicide deaths registered in England per quarter. Includes 2001 to 2023 registrations and provisional data for Quarter 1 (Jan to Mar) to Quarter 4 (Oct to Dec) 2024. These are official statistics in development.

Deaths by suicide in the city of Austin are reported to annually to Austin Public Health trough the Office of Vital Statistics. The data represents deaths by suicide within the city limits.

View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/HE-B-4a-Number-of-Deaths-by-Suicide/mqa2-tm7r/

This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Download data on suicides in Massachusetts by demographics and year. This page also includes reporting on military & veteran suicide, and suicides during COVID-19.

Number of suicides, suicide rates and median registration delays, by local authority in England and Wales.

This dataset contains a collection of posts from Reddit. The posts have been collected from 3 subreddits: r/teenagers, r/SuicideWatch, and r/depression. There are 140,000 labeled posts for training and 60,000 labeled posts for testing. Both training and testing datasets have an equal split of labels. This dataset is not mine. The original dataset is on Kaggle: https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch/versions/13

This is qualitative data collection of semi-structured interviews conducted between June-July 2023, and online surveys conducted throughout 2022, within a study that examined how the Prisons and Probation Ombudsman (seek to) effect change in prisons following prisoner suicides and how verbatim film can help to increase the impact of research findings. The study ran from 2021-2023. Prisoner suicide rates are consistently higher than rates among communities living outside. Between 2012 and 2016, England and Wales’s prison suicide rates more than doubled, hitting record numbers in 2016. Often those most invested in prison safety are those personally impacted, and campaigns by prisoners’ families can have material effects. This project included a collaboration between an academic research team, a bereaved parent and a theatre company, which aimed to raise awareness of prison suicide through verbatim film and communicate key messages to stakeholders across criminal justice.In May 2019, Dutch courts refused to deport an English suspected drug smuggler, citing the potential for inhuman and degrading treatment at HMP Liverpool. This well publicised judgment illustrates the necessity of my FLF: reconceptualising prison regulation, for safer societies. It seeks to save lives and money, and reduce criminal reoffending. Over 10.74 million people are imprisoned globally. The growing transnational significance of detention regulation was signalled by the Optional Protocol to the United Nations Convention against Torture/OPCAT. Its 89 signatories, including the UK, must regularly examine treatment and conditions. The quality of prison life affects criminal reoffending rates, so the consequences of unsafe prisons are absorbed by our societies. Prison regulation is more urgent than ever. England and Wales' prisons are now less safe than at any point in recorded history, containing almost 83,000 prisoners: virtually all of whom will be released at some point. In 2016, record prison suicides harmed prisoners, staff and bereaved families, draining 385 million punds from public funds. Record prisoner self-harm was seen in 2017, then again in 2018. Criminal reoffending costs £15 billion annually. Deteriorating prison safety poses a major moral, social, economic and public health threat, attracting growing recognition. Reconceptualising prison regulation is a difficult multidisciplinary challenge. Regulation includes any activity seeking to steer events in prisons. Effective prison regulation demands academic innovation and sustained collaboration and implementation with practitioners from different sectors (e.g. public, voluntary), regulators, policymakers, and prisoners: from local to (trans)national levels. Citizen participation has become central to realising more democratic, sustainable public services but is not well integrated across theory-policy-practice. I will coproduce prison regulation with partners, including the Prisons and Probation Ombudsman, voluntary organisations Safe Ground and the Prison Reform Trust, and (former) prisoners. This FLF examines three diverse case study countries: England and Wales, Brazil and Canada, developing multinational implications. This approach is ambitious and risky, but critical for challenging commonsensical beliefs. Interviews, focus groups, observation and creative methodologies will be used. There are three aims, to: i) theorise the (potential) participatory roles of prisoners and the voluntary sector in prison regulation ii) appraise the (normative) relationships between multisectoral regulators (e.g. public, voluntary) from local to (trans)national scales iii) co-produce (with multisectoral regulators), pilot, document and disseminate models of participatory, effective and efficient prison regulation in England and Wales (and beyond) - integrating multisectoral, multiscalar penal overseers and prisoners into regulatory theory and practice. This is an innovative study. Punishment scholars have paid limited attention to regulation. Participatory networks of (former) prisoners are a relatively new formation but rapidly growing in influence. Nobody has yet considered agencies like the Prisons Inspectorate and Ombudsman alongside voluntary sector organisations and participatory networks, nor their collective influences from local to transnational scales. Nobody has tried to work with all of these agencies to reconceptualise prison regulation and test it in practice. Findings will be developed, disseminated and implemented internationally. The research team will present findings and engage with diverse stakeholders and decision makers through interactive workshops (Parliament, London, Manchester, Liverpool and Birmingham), and multimedia outputs (e.g. infographics). This FLF has implications for prisons and detention globally, and broader relevance as a case study of participatory regulation of public services and policy translation. Within this project, 2 semi-structured interviews were undertaken with film co-creators and 27 anonymous online surveys were completed by audience members in film screenings. The sample was purposive for all groups, as appropriate for our exploratory analysis and the resources available, however the sample is not representative of collaborative film creators or audiences. Telephone and videoconferencing (Microsoft TEAMS) interviews (at the participant’s preference) were conducted with filmmakers between June and July 2023. Anonymous online surveys were completed at film screenings between March and November 2022.

Historical chart and dataset showing Singapore suicide rate by year from 2000 to 2021.

IntroductionSuicide prevention is an important aspect of psychiatric care, with older men being a population identified at especially high suicide risk and a recent increase in suicides among older women.MethodsUsing data collected by the region’s quality assurance team, we examined all suicide deaths occurring between March 1999 and February 2024 in patients aged 60 years or older who were connected to the region’s Addiction and Mental Health Program at the time of death. Data were analyzed to describe which factors were most commonly identified in suicides in older adults receiving mental healthcare. We also compared male and female cases to determine whether certain factors were more commonly observed in one gender.ResultsWe identified 48 cases of suicide occurring in patients aged 60 or over. 60% of suicides occurred in males. Overdose and hanging were the most common suicide methods used, and all suicides occurring on inpatient units occurred via hanging. Depression was the most common diagnosis, and was diagnosed more frequently in suicides of female older adults. A greater proportion of suicides in older women were associated with previous history of suicide attempts.DiscussionOur findings support many current best practices for suicide prevention in psychiatric care, including minimizing ligatures and anchor points on inpatient settings, assessing for and limiting access to means in individuals at-risk, and assessing suicide risk in hospitalized patients prior to passes and discharge. Recognition and treatment of depression remain important aspects in the treatment of older adults to prevent suicide.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Number and percentage of deaths, by month and place of residence, 1991 to most recent year.

This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Historical chart and dataset showing Uganda suicide rate by year from 2000 to 2021.

BackgroundIndividuals with bipolar disorder face a significantly elevated suicide risk, and comorbid type 2 diabetes mellitus (T2DM) further complicates their psychiatric and medical outcomes. Sodium–glucose co-transporter-2 inhibitors (SGLT-2i) have demonstrated cardiometabolic benefits in T2DM, but their impact on psychiatric outcomes remains unclear. This study investigates whether SGLT-2i use is associated with a lower risk of suicide-related events compared to dipeptidyl peptidase-4 inhibitors (DPP-4i) in individuals with bipolar disorder and T2DM.MethodsWe conducted a retrospective cohort study using the TriNetX US Collaborative Network, a large electronic health record database. Patients were included if they had bipolar disorder, were receiving active psychiatric treatment, and initiated either SGLT-2i or DPP-4i between 1 January 2015, and 30 June 2024. The primary outcome was the occurrence of suicide-related events, including suicidal ideation, suicide attempt, or intentional self-harm. Secondary outcomes included all-cause mortality, end-stage renal disease (ESRD), diabetic ketoacidosis (DKA), acute kidney injury (AKI), sepsis, genital infections, urinary tract infections (UTIs), and lower-limb amputation. Propensity score matching (1:1) was used to balance baseline characteristics. Cox proportional hazards models estimated hazard ratios (HRs) with 95% confidence intervals (CIs).ResultsThe matched cohort included 1,711 patients per group (SGLT-2i vs. DPP-4i). Over a median follow-up of 887 vs. 797 days, suicide-related events occurred in 5.1% of SGLT-2i users vs. 7.3% of DPP-4i users (HR: 0.660, 95% CI: 0.473–0.921, p = 0.0145). All-cause mortality was also lower in the SGLT-2i group (HR: 0.594, 95% CI: 0.451–0.783, p < 0.001). No significant increase in adverse events such as DKA or infections was observed.ConclusionIn this real-world cohort study, SGLT-2i use was associated with a significantly lower risk of suicide-related events and all-cause mortality compared to DPP-4i in individuals with bipolar disorder and T2DM. Subgroup analyses stratified by age, sex, race, glycemic control (HbA1c), kidney function (eGFR), and baseline lithium use revealed no evidence of increased suicide risk in any subgroup. These findings suggest that SGLT-2 inhibitors may have a neutral to potentially protective effect on suicide-related outcomes. Further prospective studies are warranted to confirm these observations and explore the underlying mechanisms.