In 2021, there were around **** deaths from suicide per 100,000 population among males in the U.S. aged 75 years and older. Males aged 75 years and older were more likely to die from suicide than any other age group for both males and females. The suicide death rate for males in general is constantly greater than that for females. Suicide method by gender Not only do suicide rates differ by gender, but the method of suicide varies as well. Suicide by firearm accounts for ** percent of suicides among males, but only ** percent of those among females. However, suicide by poisoning accounts for a much larger share of suicides among females than males. In 2019, there were a total of ****** firearm suicides and ***** poisoning suicides. Substance abuse, mental health, and suicide Those who suffer from substance abuse and certain mental health disorders are at a much greater risk of falling victim to suicide. It’s been found that around ** percent of those with drug or alcohol dependence or abuse had serious thoughts of suicide in the past year, compared to just ***** percent of those with no such substance dependence of abuse. Similarly, around *** percent of those with a major depressive episode in the past year had attempted suicide, while only *** percent of those without a major depressive episode had done so.

The suicide rate among females in the United States is highest for those aged 45 to 64 years and lowest among girls aged 10 to 14 and elderly women 75 and over. Although the suicide rate among women remains over three times lower than that of men, rates of suicide among women have gradually increased over the past couple decades. Suicide among women in the United States In 2021, there were around six suicide deaths per 100,000 women in the United States. In comparison, the rate of suicide among women in the year 2000 was about four per 100,000. Suicide rates among women are by far the highest among American Indians or Alaska Natives and lowest among Hispanic and Black or African American women. Although firearms are involved in the highest share of suicide deaths among both men and women, they account for a much smaller share among women. In 2020, the firearm suicide rate among women was 1.8 per 100,000 population, while the rates of suicide for suffocation and poisoning were 1.7 and 1.5 per 100,000, respectively. Suicidal ideation among women Although not everyone who experiences suicidal ideation, or suicidal thoughts, will attempt suicide, suicidal thoughts are a risk factor for suicide. In 2022, just over five percent of women in the United States reported having serious thoughts of suicide in the past year. Suicidal thoughts are more common among women than men even though men have much higher rates of death from suicide than women. This is because men are more likely to use more lethal methods of suicide such as firearms. Women who suffer from substance use disorder are significantly more likely to have serious thoughts of suicide than women without substance use disorder.

The Youth Risk Behavior Surveillance System (YRBSS) is a set of surveys that monitor priority health risk behaviors and experiences that contribute markedly to the leading causes of death, disability, and social problems among youth of grade 9 -12 in the United States. The surveys are administered every other year and it is maintained by the Centers for Disease Control and Prevention (CDC). A total of 107 questionnaire are asked. Some of the health-related behaviors and experiences monitored are: * Student demographics: sex, sexual identity, race and ethnicity, and grade * Youth health behaviors and conditions: sexual, injury and violence, bullying, diet and physical activity, obesity, and mental health, suicide attempt * Substance use behaviors: electronic vapor product and tobacco product use, alcohol use, and other drug use * Student experiences: parental monitoring, school connectedness, unstable housing, and exposure to community violence The dataset is used by a group of graduate students from Texas State University for 2025 TXST Open Datathon. The main YRBSS dataset includes data of multiple years, various states, district. For analyzing demographic variations associated with suicide, the 1991–2023 combined district dataset (https://www.cdc.gov/yrbs/files/sadc_2023/HS/sadc_2023_district.dat) is used, which offers a broad historical perspective on trends across different groups. To examine the preventive measures and develop a predictive model for suicide risk, the 2023 dataset (https://www.cdc.gov/yrbs/files/2023/XXH2023_YRBS_Data.zip) was used, ensuring the inclusion of the most recent behavioral and attributes. Please review the 2023 YRBS Data User's Guide by CDC for further information.

New Mexico was the state with the highest rate of suicidal death among adolescents in the U.S. in 2023, with around **** deaths per 100,000 adolescents. The overall suicide rate in the U.S. has increased over recent years. Suicide is more common among men than women, with rates among men almost **** times higher than among women. Risk factors Risk factors for suicide include mental disorders, such as depression, bipolar disorder, and personality disorders, as well as substance abuse. In fact, suicidal thoughts, plans to commit suicide, and suicide attempts are all more common among those with drug or alcohol dependence or abuse. In terms of suicides due to a known mental disorder, depression accounts for around ** percent of all such suicides. Methods Most suicides in the United States are carried out by firearms, however, the most common method of suicide differs from country to country. In 2022, over ****** suicides in the United States were conducted by firearms, or just over half of all suicides that year. Firearms are the most common means of suicide among both men and women in the United States, but suicide by poisoning is much more common among women than men.

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

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.

This study was initiated by the administrator of a county jail in the Northern Plains of the United States who was concerned about the incidence of suicide behaviors in that facility, particularly among the American Indian population. It was a two-year project designed to evaluate the existing admissions suicide screening tool and to improve the instrument's cultural relevance for the American Indian population. The existing screening instrument used in the county jail to interview inmates at their intake was developed in New York. The main objective of the first year of the project was to determine if that instrument was culturally appropriate for the jailed American Indian population. The principal objective of the second year of the project was to determine whether the employment of different suicide screening protocols would make a difference in the responses of new detainees with regard to the likelihood of securing their honest reports of experiencing suicide ideation and its associated risk factors. For the duration of the project, all male and female inmates aged 18 and older who were booked into the jail went through the customary booking procedure that included the administration of the New York Suicide Prevention Screening Guidelines. In the first year of the project, researchers also administered a short self-report survey consisting of measures commonly associated with suicidal ideation. The self-report survey measured stress, anxiety, suicide ideation, hopelessness, and suicidal behavior history. The protocols in the second year of the project reflected efforts to test different screening conditions for four experimental groups and one control group of new detainees. The outcome variables of the short self-report survey consisted of measures of demographics, comfort experience during booking and the screening process, self-efficacy and management of depression, knowledge of mental health support available within the jail, and general well-being. In addition to the quantitative data collection, qualitative data were also collected to develop a straightforward assessment of suicide ideation criteria in this specific jail setting using semi-structured focus group interviews.

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.

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

ObjectivePreventing suicide in US youth is of paramount concern, with rates increasing over 50% between 2007 and 2018. Statistical modeling using electronic health records may help identify at-risk youth before a suicide attempt. While electronic health records contain diagnostic information, which are known risk factors, they generally lack or poorly document social determinants (e.g., social support), which are also known risk factors. If statistical models are built incorporating not only diagnostic records, but also social determinants measures, additional at-risk youth may be identified before a suicide attempt.MethodsSuicide attempts were predicted in hospitalized patients, ages 10–24, from the State of Connecticut’s Hospital Inpatient Discharge Database (HIDD; N = 38943). Predictors included demographic information, diagnosis codes, and using a data fusion framework, social determinants features transferred or fused from an external source of survey data, The National Longitudinal Study of Adolescent to Adult Health (Add Health). Social determinant information for each HIDD patient was generated by averaging values from their most similar Add Health individuals (e.g., top 10), based upon matching shared features between datasets (e.g., Pearson’s r). Attempts were then modelled using an elastic net logistic regression with both HIDD features and fused Add Health features.ResultsThe model including fused social determinants outperformed the conventional model (AUC = 0.83 v. 0.82). Sensitivity and positive predictive values at 90 and 95% specificity were almost 10% higher when including fused features (e.g., sensitivity at 90% specificity = 0.48 v. 0.44). Among social determinants variables, the perception that their mother cares and being non-religious appeared particularly important to performance improvement.DiscussionThis proof-of-concept study showed that incorporating social determinants measures from an external survey database could improve prediction of youth suicide risk from clinical data using a data fusion framework. While social determinant data directly from patients might be ideal, estimating these characteristics via data fusion avoids the task of data collection, which is generally time-consuming, expensive, and suffers from non-compliance.

In 2022, around 58 percent of U.S. LGBTQ youth between 13 and 24 years reported feelings of depression, while 45 percent considered suicide within the past 12 months. The statistic illustrates trends in LGBTQ youth mental health and suicide risk in the United States from 2020 to 2022.

This statistic depicts the percentage of transgender high school students in the U.S. who were at risk for suicide in 2017, by indicator. According to the data, **** percent of respondents indicated they had made a suicide attempt that was treated by a doctor.

Dataset Description: Suicide Risk (100K Records) This dataset contains 100,000 records with 9 attributes related to mental health factors and their correlation with suicide tendency. The dataset is designed for research in mental health, risk factor analysis, and predictive modeling of suicide tendencies. Columns & Their Descriptions Age (int) - Age of the individual. Depression Severity (int) - A score indicating the severity of depression on a scale (higher values indicate more severe… See the full description on the dataset page: https://huggingface.co/datasets/ajaxxxx/Suicide_Risk.

The users labeled as suicide indication in 500 Reddit user dataset were removed because of high disagreement between annotators during post-level annotation.

In the TinvM context, irrespective of user-type, all types of content are required for high precision and high recall in predicting user-level suicidality. Lengthy posts expressing mental health conditions are often made by TA (a), which resulted in high precision compared to Non-TA (b). However, in the TvarM, seldom supportive behavior of suicidal users is important for assessing their suicidality (c). For Non-TA, there is a trade-off between precision and recall concerning uninformative posts. Still, supportive posts help determine the severity of an individual’s suicide risk (d). For clinical-grounding based assessment, we recorded the results in Table 7.

a Assuming a 10% increase in citation of 1 or more specific drugs on the death certificate.b Age, gender, urbanization, and poverty, the 4 other pre-selected sociodemographic covariates were not significant predictors of suicide classification.c Comprises decentralized medical examiner states and states with hybrid county coroner/medical examiner systems.Predicting the odds of a nonhomicide drug-intoxication death being classified as suicide versus accident or undetermined intent.

Around 27 percent of U.S. LGBTQ youth who had experienced conversion therapy had attempted suicide within the previous 12 months as of 2023, compared to nine percent of LGBTQ youth who had not experienced conversion therapy. The statistic illustrates the share of LGBTQ youth in the U.S. who attempted suicide within the past 12 months as of 2022, by experience with conversion therapy.

LGBTQ youth and suicide

LGBTQ youth are at higher risk for suicide due to increased stress as a result of living as part of a stigmatized minority, as well as isolation from family and peers and victimization. As of 2021, half of transgender and non-binary youth in the U.S. had considered suicide within the past year, compared to around one third of cisgender youth. Moreover, the proportion of suicide attempts amongst LGBTQ youth was considerably greater among those who had experienced pressure from others to change their sexuality or gender identity, as well as among those who reported that others failed to respect their personal pronouns.

Reducing suicide risk

Increasing social support and building resilience are key protective factors in reducing suicide risk among anyone struggling with mental health challenges such as suicidal ideation and behaviors. Acceptance and inclusion are especially important for groups experiencing minority stress and stigmatization, such as LGBTQ youth. For example, attempted suicides were reported to be lower among LGBTQ youth with LGBTQ-affirming spaces in their lives, including at school, home, place of employment, and community. Despite increased awareness and social acceptance, there is still a ways to go in the United States. In 2018, although around one quarter of LGBTQ youth felt they could be themselves at home, nearly half reported that their family has made them feel negative about being LGBTQ.

United States US: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 3,800.000 NA in 2015. This stayed constant from the previous number of 3,800.000 NA for 2014. United States US: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 3,950.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 4,700.000 NA in 1998 and a record low of 3,500.000 NA in 2009. United States US: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;

United States US: Lifetime Risk Of Maternal Death data was reported at 0.026 % in 2015. This records a decrease from the previous number of 0.026 % for 2014. United States US: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.025 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.028 % in 2009 and a record low of 0.021 % in 1998. United States US: Lifetime Risk Of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;

Predictors selected by all fusion models in the repeated random-splitting procedure.