During 2022, family problems was the leading cause of suicides in India with over ** thousand deaths. This was followed by illness related suicide with over ** thousand deaths due to AIDS and other STDs, cancer, paralysis and mental illness.

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.

Since the 1950s, the suicide rate in the United States has been significantly higher among men than women. In 2022, the suicide rate among men was almost four times higher than that of women. However, the rate of suicide for both men and women has increased gradually over the past couple of decades. Facts on suicide in the United States In 2022, the rate of suicide death in the United States was around 14 per 100,000 population. The suicide rate in the U.S. has generally increased since the year 2000, with the highest rates ever recorded in the years 2018 and 2022. In the United States, death rates from suicide are highest among those aged 45 to 64 years and lowest among younger adults aged 15 to 24. The states with the highest rates of suicide are Montana, Alaska, and Wyoming, while New Jersey and Massachusetts have the lowest rates. Suicide among men In 2023, around 4.5 percent of men in the United States reported having serious thoughts of suicide in the past year. Although this rate is lower than that of women, men still have a higher rate of suicide death than women. One reason for this may have to do with the method of suicide. Although firearms account for the largest share of suicide deaths among both men and women, firearms account for almost 60 percent of all suicides among men and just 35 percent among women. Suffocation and poisoning are the other most common methods of suicide among women, with the chances of surviving a suicide attempt from these methods being much higher than surviving an attempt by firearm. The age group with the highest rate of suicide death among men is by far those aged 75 years and over.

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

BackgroundIn Europe, men have lower rates of attempted suicide compared to women and at the same time a higher rate of completed suicides, indicating major gender differences in lethality of suicidal behaviour. The aim of this study was to analyse the extent to which these gender differences in lethality can be explained by factors such as choice of more lethal methods or lethality differences within the same suicide method or age. In addition, we explored gender differences in the intentionality of suicide attempts.Methods and FindingsMethods. Design: Epidemiological study using a combination of self-report and official data. Setting: Mental health care services in four European countries: Germany, Hungary, Ireland, and Portugal. Data basis: Completed suicides derived from official statistics for each country (767 acts, 74.4% male) and assessed suicide attempts excluding habitual intentional self-harm (8,175 acts, 43.2% male).Main Outcome Measures and Data Analysis. We collected data on suicidal acts in eight regions of four European countries participating in the EU-funded “OSPI-Europe”-project (www.ospi-europe.com). We calculated method-specific lethality using the number of completed suicides per method * 100 / (number of completed suicides per method + number of attempted suicides per method). We tested gender differences in the distribution of suicidal acts for significance by using the χ2-test for two-by-two tables. We assessed the effect sizes with phi coefficients (φ). We identified predictors of lethality with a binary logistic regression analysis. Poisson regression analysis examined the contribution of choice of methods and method-specific lethality to gender differences in the lethality of suicidal acts.Findings Main ResultsSuicidal acts (fatal and non-fatal) were 3.4 times more lethal in men than in women (lethality 13.91% (regarding 4106 suicidal acts) versus 4.05% (regarding 4836 suicidal acts)), the difference being significant for the methods hanging, jumping, moving objects, sharp objects and poisoning by substances other than drugs. Median age at time of suicidal behaviour (35–44 years) did not differ between males and females. The overall gender difference in lethality of suicidal behaviour was explained by males choosing more lethal suicide methods (odds ratio (OR) = 2.03; 95% CI = 1.65 to 2.50; p < 0.000001) and additionally, but to a lesser degree, by a higher lethality of suicidal acts for males even within the same method (OR = 1.64; 95% CI = 1.32 to 2.02; p = 0.000005). Results of a regression analysis revealed neither age nor country differences were significant predictors for gender differences in the lethality of suicidal acts. The proportion of serious suicide attempts among all non-fatal suicidal acts with known intentionality (NFSAi) was significantly higher in men (57.1%; 1,207 of 2,115 NFSAi) than in women (48.6%; 1,508 of 3,100 NFSAi) (χ2 = 35.74; p < 0.000001).Main limitations of the studyDue to restrictive data security regulations to ensure anonymity in Ireland, specific ages could not be provided because of the relatively low absolute numbers of suicide in the Irish intervention and control region. Therefore, analyses of the interaction between gender and age could only be conducted for three of the four countries. Attempted suicides were assessed for patients presenting to emergency departments or treated in hospitals. An unknown rate of attempted suicides remained undetected. This may have caused an overestimation of the lethality of certain methods. Moreover, the detection of attempted suicides and the registration of completed suicides might have differed across the four countries. Some suicides might be hidden and misclassified as undetermined deaths.ConclusionsMen more often used highly lethal methods in suicidal behaviour, but there was also a higher method-specific lethality which together explained the large gender differences in the lethality of suicidal acts. Gender differences in the lethality of suicidal acts were fairly consistent across all four European countries examined. Males and females did not differ in age at time of suicidal behaviour. Suicide attempts by males were rated as being more serious independent of the method used, with the exceptions of attempted hanging, suggesting gender differences in intentionality associated with suicidal behaviour. These findings contribute to understanding of the spectrum of reasons for gender differences in the lethality of suicidal behaviour and should inform the development of gender specific strategies for suicide prevention.

According to the latest available data, there were around **** suicide deaths per 100,000 population in the United States in 2022. Suicide remains one of the leading causes of death in the U.S. highlighting the need for awareness and prevention. The suicide rate in the U.S. has risen for both men and women in recent years but remains over ***** times higher for men. Hospitalizations In 2021, there were around ******* adults hospitalized in the U.S. after a suicide attempt. Although the suicide rate among men is significantly higher than among women, there are more hospitalizations after suicide attempts for women than for men. In 2019, there were ******* such hospitalizations among women and ******* hospitalizations among men. Public opinionSuicide can be a divisive topic that involves religious and political views. Recent data shows that ** percent of the U.S. population believes suicide is morally wrong, while ** percent believe it to be morally acceptable. However, only ** percent of adults believe it is “very important” to invest public dollars in the prevention of suicide.

Effect of suicide rates on life expectancy dataset

Abstract
In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy.
The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions.

Data

The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: Country, Year, Suicides number, Life expectancy, Adult Mortality, which is probability of dying between 15 and 60 years per 1000 population, Infant deaths, which is number of Infant Deaths per 1000 population, Alcohol, which is alcohol, recorded per capita (15+) consumption, Under-five deaths, which is number of under-five deaths per 1000 population, HIV/AIDS, which is deaths per 1 000 live births HIV/AIDS, GDP, which is Gross Domestic Product per capita, Population, Income composition of resources, which is Human Development Index in terms of income composition of resources, and Schooling, which is number of years of schooling.

LICENSE

THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/).

[1] https://www.kaggle.com/szamil/who-suicide-statistics

[2] https://www.kaggle.com/kumarajarshi/life-expectancy-who

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.

In 2022, more than ***** people in South Korea committed suicide due to mental illness. Mental illness, financial problems, and physical illness were the most common reasons for dying by suicide among South Koreans that year. South Korea had the highest suicide rate in the Organization for Economic Co-operation and Development (OECD) that year. Suicidal thoughts in adolescents and older people In recent years, suicide has been the leading cause of death among young people in South Korea. According to a survey, academic challenges were the most commonly cited reasons for suicidal thoughts among adolescents. Additionally, many older citizens identified loneliness and financial struggles as significant factors contributing to their thoughts of suicide. Suicide prevention Although the government has recognized the problem and has increased the budget for suicide prevention over the years, it has not yet succeeded in resolving the issue. However, public awareness has grown in recent years, and there has been a gradual reduction in the stigma surrounding mental health. If you are having suicidal thoughts or you know someone who is, it is essential to seek help. Many countries have suicide crisis or prevention lines that offer free advice and support in such situations. If you live in the United States, you can reach the Suicide & Crisis Lifeline by simply calling *** to receive free and confidential support 24/7. If you live in South Korea, you can call the suicide prevention hotline ***.

Olympic athletes: the epitome of health and fitness, role models for their communities, and competing on the world stage. Is there a cost incurred by highlighting the achievements of these elite athletes? Suicide, as defined by the Centers for Disease Control and Prevention, is death by injuring oneself whereby death was the intent (Suicide Prevention: Facts, 2022). A person harming themselves with death as the intention but not the outcome is classified as a suicide attempt (Suicide Prevention: Facts, 2022). In the general population, suicide is one of the leading causes of death, especially amongst younger people where it is the fourth leading cause of death (Suicide Prevention: Risk, 2022). In 2019, the global age-standardized suicide rate was 9 deaths per 100,000 people (World Health Organization (WHO), 2021). The risk factors for suicide are multifaceted and complex, ranging from a history of mental health issues, serious illnesses, chronic pain, financial stress, substance use, adverse childhood experiences, and difficulties in relationships (Suicide Prevention: Risk, 2022). Differences in sociodemographic variables have been linked with suicide rates (Suicide Prevention: Risk, 2022). For example, the suicide rate for males (~12.6 per 100,000) is typically higher than females (5.4 per 100,000) (Suicide Prevention: Risk, 2022). Economic factors may also play a role given the largest portion of deaths by suicide occur in lower-income and middle-income countries (Suicide Prevention: Risk, 2022), yet high-income countries report higher age-standardized rates of suicide (10.9 per 100,000) (Suicide Prevention: Risk, 2022). More than half (58%) of global suicides occur in persons less than 50 years of age (Suicide Prevention: Risk, 2022) implicating stage of life as a plausible risk factor linked with death by suicide. Overall, suicide rates have been declining since 2000 with a 36% reduction noted in 2019 compared with 20 years earlier (Suicide Prevention: Risk, 2022).

Sports and athletes can be ‘newsworthy’, so there is heightened media attention when high-profile athletes die from suicide. Research examining suicide and athletes has focused primarily on collegiate (or university-level) athletes. In the National Collegiate Athletic Association (NCAA) over a nine-year period, the rate of death by suicide in athletes was 1.35 per 100,000 in males, and 0.37 per 100,000 in females, both of which are lower than suicide rates for age-matched students (Rao et al., 2015). NCAA football had the highest relative rates of suicide at 2.25 per 100,000 yet this rate is still lower compared against other students matched for age and sex (Rao et al., 2015). In football, chronic traumatic encephalopathy (or CTE) has been gaining traction as one risk factor leading to death by suicide (Rao, 2018). To date, studies of suicide and athletes competing at other levels of sport (e.g., Olympics, etc.) appear sparse. One study of US Olympians compared mental disorders, substance abuse, and self-harm reported by athletes with the public noting athletes had a lower risk of death by suicide from these factors (Rao, 2018). Suicidal ideation was reported by 1 in 6 Swedish athletes competing at the international level (Timpka et al., 2019). Finally, retirement may be a factor to consider in suicide prevention initiatives given that male athletes competing in power sports (e.g., wrestling, Olympic lifting, etc.) retiring between 30 and 50 years of age were 2 to 4 times more likely to die by suicide than non-athletes of the same ages (Lindqvist et al., 2014).

To date, limited research has been reported on Olympic athletes and suicide. Further research is warranted to determine the frequency of suicide rates in Olympians plus identifiable risk factors for death by suicide reported by this cohort of elite athletes.

Number of suicides and suicide rates, by sex and age, in England and Wales. Information on conclusion type is provided, along with the proportion of suicides by method and the median registration delay.

Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents).
Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA).
Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.

Mortality rate has been age-adjusted to the 2000 U.S. standard population. ICD-10 codes used to identify suicides are X60-X84, Y87.0, and U03. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Suicide is a leading cause of preventable death in Los Angeles County, affecting individuals of all ages and races and ethnicities. While there is a strong association between suicide and health conditions, such as mood and anxiety disorders or substance use disorders, suicide is rarely caused by a single circumstance and is more often due to a combination of individual, relational, and environmental factors. Individual factors can include history of mental illness, previous suicide attempts, adverse childhood events, or financial hardship. Relational factors include experiences of bullying, loss of relationships, or social isolation. Environmental factors include lack of access to healthcare, community violence, or social stigma associated with seeking help for a mental illness.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

The indicator measures the number of deaths that result from suicide per 100 000 inhabitants. The World Health Organization defines suicide as an act deliberately initiated and performed by a person in the full knowledge or expectation of its fatal outcome. Data on causes of death (COD) refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of a standard European population. The number of suicides in certain countries may be under-reported because of the stigma associated with the act for religious, cultural or other reasons. The comparability of suicide data between countries is also affected by a number of reporting criteria, including how a person’s intention of killing him- or herself is ascertained or who is responsible for completing the death certificate.

The product has been discontinued since: 29 Nov 2018.

The indicator measures the number of deaths that result from suicide per 100 000 inhabitants. The World Health Organization defines suicide as an act deliberately initiated and performed by a person in the full knowledge or expectation of its fatal outcome. Data on causes of death (COD) refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of a standard European population. The number of suicides in certain countries may be under-reported because of the stigma associated with the act for religious, cultural or other reasons. The comparability of suicide data between countries is also affected by a number of reporting criteria, including how a person’s intention of killing him- or herself is ascertained or who is responsible for completing the death certificate. The product has been discontinued since: 29 Nov 2018.

Over *** thousand deaths due to suicides were recorded in India in 2022. Furthermore, majority of suicides were reported in the state of Tamil Nadu, followed by Rajasthan. The number of suicides that year had increased from the previous year. Some of the causes for suicides in the country were due to professional problems, abuse, violence, family problems, financial loss, sense of isolation and mental disorders. Depressive disorders and suicide As of 2015, over ****** million people worldwide suffered from some kind of depressive disorder. Furthermore, over ** percent of the total population in India suffer from different forms of mental disorders as of 2017. There exists a positive correlation between the number of suicide mortality rates and people with select mental disorders as opposed to those without. Risk factors for mental disorders Every ******* person in India suffers from some form of mental disorder. Today, depressive disorders are regarded as the leading contributor not only to disease burden and morbidity worldwide, but even suicide if not addressed. In 2022, the leading cause for suicide deaths in India was due to family problems. The second leading cause was due to illness. Some of the risk factors, relative to developing mental disorders including depressive and anxiety disorders, include bullying victimization, poverty, unemployment, childhood sexual abuse and intimate partner violence.

Suicide Mortality Rate per 100,000 2016-2019. Suicide was the 13th leading cause of death in 2019. In 2019, the overall age-standardised suicide rate was 12.9 per 100,000 in Australia. The …Show full descriptionSuicide Mortality Rate per 100,000 2016-2019. Suicide was the 13th leading cause of death in 2019. In 2019, the overall age-standardised suicide rate was 12.9 per 100,000 in Australia. The Australian Bureau of Statistics, Causes of Death, Australia, 2019 reports that there were 3,318 registered suicides in 2019.

Age-adjusted rate of suicide deaths for Santa Clara County residents. The data are provided for the total county population and by sex and race/ethnicity. Data trends are presented from 2007 to 2016. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017; U.S. Census Bureau, 2010 Census.METADATA:Notes (String): Lists table title, notes and sourceYear (String): Year of death Category (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and Asian/Pacific Islander subgroups: Asian Indian, Chinese. Filipino, Korean and Vietnamese.Age adjusted rate per 100,000 people (Numeric): The Tenth Revision of the International Classification of Diseases codes (ICD-10) are used for coding causes of death. Age-adjusted rate is calculated using 2000 U.S. Standard Population. Suicide rate is number of suicide deaths in a year per 100,000 people in the same time period.

Suicide Rate - This indicator shows the suicide rate per 100,000 population. Suicide is a serious public health problem that can have lasting effects on individuals, families, and communities. Mental disorders and/or substance abuse have been found in the great majority of people who have died by suicide. In Maryland, approximately 500 lives are lost each year to this preventable cause of death. Link to Data Details

This accelerator contains information about reasons and methods involved in attempting a suicide. It also provides a comprehensive list of prescription drugs which might cause depression or other psychiatric disorders as a side effect that lead to suicidal ideation and failed or successful suicidal attempts.