As of 2022, the U.S. states with the highest death rates from suicide were Alaska, Montana, and Wyoming. In Wyoming and Montana, there were around **** and **** suicide deaths per 100,000 population, respectively. In comparison, in New Jersey, the state with the lowest suicide death rate, there were only around *** suicide deaths per 100,000 population. Differences in suicide rates by gender In the United States, there is a vast difference in suicide rates between men and women, with rates over *** times higher among men. However, rates of suicide for both men and women have increased over the past couple of decades. Among men, those aged 75 years and older have the highest suicide rates, with around ** deaths per 100,000 population in 2021. Among women, those aged 45 to 64 years have the highest rates of suicide death with *** deaths per 100,000 population. What is the most common method of suicide? In the United States, the most common method of suicide is with firearms, followed by suffocation and then poisoning. In 2022, there were around ****** suicide deaths from firearms in the United States, compared to ****** deaths from suffocation and ***** from drug poisoning. In 2021, firearms accounted for around ** percent of suicide deaths among men. In comparison, around ** percent of deaths from suicide among women were due to firearms, while suffocation and poisoning each accounted for ** percent of such deaths.

The countries with the highest suicide mortality rate worldwide in 2021 included Lesotho, South Korea, and Eswatini. In 2021, there were around 27.5 suicide deaths per 100,000 population in South Korea. Suicide in the United States Although the United States is not among the countries with the highest suicide mortality rate, suicide is still a major issue in the country. As with other countries, the suicide rate among males in the U.S. is much higher than among females. In 2022, there were around 23 suicide deaths among males in the United States per 100,000 population, compared to 5.9 deaths per 100,000 females. The states with the highest suicide rates are Montana, Wyoming, and Alaska, while New Jersey and Massachusetts have the lowest rates. Risk factors and help Major risk factors for suicide include mental health issues and substance abuse problems; however, it can be difficult to predict who is at risk. Warning signs such as talking about wanting to die, expressing feelings of depression, suicidal ideation, and abusing drugs or alcohol should be taken seriously and help should be sought as soon as possible. Suicide hotlines exist in many countries around the world and one should not hesitate to discuss such issues and feelings with a health care provider.

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.

Crude death rate from suicide and intentional self-harm per 100 000 people, by age group. Suicide registration methods vary between countries and over time. Figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death.

Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. SOURCE: NCHS, National Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

South Korea Male Suicide Rates decreased by 1.1% in 2019, compared to a year earlier.

Number of suicides and suicide rates by sex and age in England and Wales. Includes information on conclusion type, the proportion of suicides by method, and the median registration delay.

In 2019, Female Suicide Rates in Norway remained stable compared to a year earlier.

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

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.

The average for 2019 based on 7 countries was 11.99 suicides per 100,000 people. The highest value was in the USA: 16.1 suicides per 100,000 people and the lowest value was in Italy: 6.7 suicides per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

State-wise Suicides by Profession in India

Investigating National Level Trends and Patterns

By Rajanand Ilangovan [source]

About this dataset

This dataset contains data on suicides in India by state, year, profession and gender. Through this dataset, we can gain an understanding of the factors that influence suicide rates across different states, professions and genders. By examining this data we can better understand how to reduce these tragedies in India which are of great concern to citizens, families and the government alike. The columns include the State in India where the suicides occurred; Year in which the suicides occurred; Type_code of the profession of the person who committed suicide; Gender of the person who committed suicide; Age_group of such person; and Total number of suicides for a given State-Year-Typecode-Type-Gender-Agegroup combination. With this insightful data set at our disposal, we can gather valuable insights into why certain types people are more likely to take their own lives than others and look for solutions which would have meaningful implications for society at large

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How to use the dataset

This dataset contains information about the number of suicides in India by state, year, type of profession, gender, and age group. It is an important resource for understanding the trends and patterns in suicides in India. This guide will explain how to use this dataset to gain insights into suicide rates across India.

Exploring the Data

The first step to exploring this data is to examine its structure. There are 8 columns that contain information about each suicide: State (the Indian state where the suicide occurred), Year (the year of occurrence), Type_code (the code for the type of profession or activity engaged in at time of death), Gender (male or female), Age_group (groups based on age-range), Total (total number of suicides for given state/year/type_code/type/gender/age group). In addition, there are other useful descriptive stats such as aggregate totals by year and aggregate totals by state as well as null values indicating missing data points that should be accounted for during analysis.

Analyzing Trends

Once you have a good understanding of the data structure, you can begin analyzing it for patterns and trends. You can look at overall trends across all states or focus on individual states to see if certain decades witness higher suicide rates than others due to specific socioeconomic factors within those states. Similarly, you may identify distinct patterns when examining activity related causes across genders or age groups both generally and within individual states – e.g., self-immolation witnessed significantly more amongst females than males within a given decade etc.. Alternatively you could find out what types occupations had higher incidences during certain years thus ruling out otherwise unlikely ways people chose ‘suicide’!

Finally it may also be useful window shop; use this data set as research material before further framing hypotheses related too changes over time i historical events that directly caused shifts in societal norms like wars / pandemics etc.. And then corroborate results against timelines ascertained through secondary sources such newspapers / anecdotal reports or primary sources like census records summaries published by official agencies etc.. As a index towards which other activities were attempted within scope!

Overall these analyses can help policy makers understand better how best resources can be allocated while developing interventions aimed at reducing suicidal tendencies amongst different demographic segments including males & females , adolescents & elderly people respectively!

Research Ideas

• Analyzing trends in suicides across different states in India over time to identify regional disparities and support the implementation of targeted policies and interventions.
• Mapping out the suicide hotspots across age groups, genders, and profession types to better target prevention efforts in those areas.
• Examining differences by profession type among populations with higher suicide rates in order to suggest preventative measures or resources tailored specifically for such populations

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: Suicides_in_India.csv | Column name | Description ...

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.

The average for 2019 based on 41 countries was 12.93 suicides per 100,000 people. The highest value was in Lithuania: 26.1 suicides per 100,000 people and the lowest value was in Turkey: 2.4 suicides per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

Introduction Suicide is still one of the world's most important public health issues, with the World Health Organization (WHO) claiming that over 700,000 people die by suicide annually. Suicide is one of the main causes of death, with far-reaching consequences for people, families, and society. Understanding the global patterns and trends in suicide rates is critical for creating effective prevention methods and providing the required support to at-risk individuals. The purpose of this report is to visualize global data on suicides using the WHO dataset (who_suicide_statistics.csv). This dataset has statistics on the number of suicides in various countries, years, age categories, and sexes. By analyzing this data, it will guide us to learn about demographic and temporal patterns of suicide, show high-risk groups, and highlight regions facing significant challenges. The visualizations will employ various techniques such as graphs, charts, and maps to effectively convey the information and guide the viewer through the findings. Through these visualizations and insights, I suggested key points and recommendations needed to minimize suicide incidents in future. Description of the Dataset The dataset (who_suicide_statistics.csv) has extensive data on global suicide statistics collected by the World Health Organization. This dataset is an invaluable resource for analyzing the patterns and trends in suicide rates across countries, years, age groups, and genders. Below is a detailed description of the columns in the dataset and the kind of information each one provides. Columns in the Dataset • country: Description: The name of the country where the data was collected. Type: Categorical Example Values: 'United States', 'Japan', 'Germany' • year: Description: The year the data was recorded. Type: Numerical Example Values: 2000, 2005, 2010 - age: Description: The age group of the individuals whose suicide data is recorded. Type: Categorical Example Values: '15-24', '25-34', '35-44', '45-54', '55-64', '65-74', '75+' • sex: Description: The sex of the individuals whose suicide data is recorded. Type: Categorical Example Values: 'male', 'female' • suicide_no: Description: The number of suicide cases recorded for the specified country, year, age and sex. Type: Numerical Example Values: 15, 42, 108 • population: Description: The population of the specified age group and sex in the country for that year. Type: Numerical Example Values: 345633, 785042, 3356435 Additional Information • Suicide Rate Calculation: Using the suicide_no and population columns, we can calculate the suicide rate per 100,000 population, which normalizes the data and allows for fair comparisons across different countries and demographic groups. Formula: suicides_rate = (suicide_no / population) * 100000

In 2024, Japan reported 16.4 suicides per 100,000 inhabitants. The country's suicide rate resumed its downward trend after an unexpected surge in recent years, likely connected to the COVID-19 pandemic. What are the reasons behind Japan’s high suicide rates?  While the majority of suicides in Japan stemmed from health reasons, existential concerns and problems directly related to work also accounted for thousands of self-inflicted deaths in the past years. One of the most profound issues faced by employees in Japan leading to self-harm is exhaustion. “Karoshi,” or death by overwork, is a well-known phenomenon in Japanese society. In addition to physical fatigue, karoshi may be precipitated by mental stress resulting from employment. Occupational stress or overwork-induced suicide is referred to as “karojisatsu (overwork suicide)” in Japan. Which demographic groups are affected? Although *************** are frequently depicted as the most at-risk demographic for suicide in Japan, the increasing occurrence of suicides among the elderly people and schoolchildren is causing concern. Bullying, isolation, and the lack of a proficient mental healthcare system can be additional factors contributing to the country’s high suicide rates among all age groups.

The average for 2019 based on 12 countries was 11.65 suicides per 100,000 people. The highest value was in Guyana: 40.3 suicides per 100,000 people and the lowest value was in Venezuela: 2.1 suicides per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

The average for 2019 based on 19 countries was 11.88 suicides per 100,000 people. The highest value was in South Korea: 28.6 suicides per 100,000 people and the lowest value was in Indonesia: 2.4 suicides per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

Among men in the United States, those aged 75 years and older have the highest death rate from suicide among all age groups. In 2023, the suicide death rate among men aged 75 years and older was 40.7 per 100,000 population. In comparison, the death rate from suicide among men aged 25 to 44 years was 29.8 per 100,000. Suicide is a significant problem in the United States, with rates increasing over the past decade. Suicide among men In the United States, the suicide rate among men is almost four times higher than that of women. In 2022, the rate of suicide among U.S. men was 23 per 100,000 population, the highest rate recorded over the past 70 years. Firearms account for the vast majority of suicide deaths among men, accounting for around 60 percent of male suicides in 2021. The reasons why U.S. men have higher rates of suicide than women are complex and not fully understood, but may have to do with the more violent means by which men carry out suicide and the stigma around seeking help for mental health issues. Suicide among women Although the suicide rate among women in the U.S. is significantly lower than that of men, the rate of suicide among women has increased over the past couple of decades. Among women, those aged 45 to 64 years have the highest death rates due to suicide, followed by women 25 to 44 years old. Interestingly, the share of women reporting serious thoughts of suicide in the past year is higher than that of men, with around 5.5 percent of U.S. women reporting such thoughts in 2023. Similarly to men, firearms account for most suicide deaths among women, however suffocation and poisoning account for a significant share of suicides among women. In 2021, around 35 percent of suicides among women were carried out by firearms, while suffocation and poisoning each accounted for around 28 percent of suicide deaths.

Context:

This dataset provides data on death rates for suicide categorized by selected population characteristics including sex, race, Hispanic origin, and age in the United States. It includes critical information about measures, definitions, and changes over time.

Source: - NCHS, National Vital Statistics System (NVSS) - Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968 - Numerator data from NVSS annual public-use Mortality Files - Denominator data from U.S. Census Bureau national population estimates - Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021

Source URLs:

Death rates for suicide by sex, race, Hispanic origin, and age: United States - HUS 2019 Data Finder - National Vital Statistics Reports - NVSS Appendix Entry

Dataset Details and Key Features

The dataset consists of data collected from the National Vital Statistics System (NVSS) and the U.S. Census Bureau, providing a comprehensive overview of suicide death rates across different demographics in the United States from 1950 to 2001.

Key Features:

• Historical Coverage: Data spans from 1950 to 2001, providing long-term trends.
• Demographic Breakdown: Includes data by sex, race, Hispanic origin, and age, facilitating targeted analysis.
• Yearly Data: Provides annual death rate estimates, enabling year-over-year comparison.
• Reliable Sources: Data collected from NVSS and U.S. Census Bureau, ensuring accuracy and reliability.

Usage:

Research and Analysis:

• Trend Analysis: Study long-term trends in suicide rates across different demographic groups.
• Impact Assessment: Analyze the impact of socio-economic factors on suicide rates over time.
• Health Disparities: Identify disparities in suicide rates among different demographic segments.

Policy Making:

• Intervention Development: Inform the creation of targeted interventions for high-risk groups.
• Resource Allocation: Aid in the effective allocation of resources to areas with higher suicide rates.
• Policy Evaluation: Evaluate the effectiveness of past policies and programs aimed at reducing suicide rates.

Public Health Initiatives:

• Awareness Campaigns: Develop awareness campaigns tailored to specific demographic groups.
• Prevention Programs: Design and implement suicide prevention programs based on demographic data.
• Community Outreach: Facilitate community outreach efforts by identifying high-risk areas.

Data Maintenance:

Updates:

• Periodic Updates: The dataset is periodically updated to incorporate the latest available data.
• Version Control: Maintains previous versions for reference and longitudinal studies.

Quality Assurance:

• Data Validation: Ensures data accuracy through rigorous validation processes.
• Consistency Checks: Regular consistency checks to maintain data integrity.

Additional Notes:

• For detailed definitions and explanations of measures, refer to the PDF or Excel version of this table in the HUS 2019 Data Finder.
• Numerator data is derived from NVSS annual public-use Mortality Files, while denominator data comes from U.S. Census Bureau national population estimates.
• The dataset also includes historical data, providing context and continuity for contemporary analysis.

Columns: