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The source of this data is the City of Cincinnati's computer aided dispatch (CAD) database.

This data is updated daily.

DISCLAIMER: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

In 2023, over 21.8 thousand people in Japan died by suicide. The overall number of suicides had shown a steady downward trend over the past decade but began to rise again in 2020. The unexpected upward trend is likely to be connected to the COVID-19 pandemic.

 Why Japanese men are more likely to die by suicide 

When looking at suicide numbers by gender, Japanese men are more likely to commit suicide compared to women. What are the main reasons for this tendency? Attitudes on traditional gender roles in Japan may have shifted in recent decades, but social change has since been slow. Men are still expected to focus on their careers and provide for the family. Hence, economic slumps are typically reflected in rising suicide figures among men, as failure to fulfill social expectations can lead to mental health issues, which in turn might trigger suicidal thoughts. As an example, the suicide figures increased only for men in 2009 as a result of the global banking crisis. Suicide resulting from work-related issues is also more common among men than among women.

 The impact of COVID-19 on female suicides

The impact of the coronavirus appeared to be more prevalent among women. The reasons were complex. For one, women who were victims of domestic violence were forced to spend more time at home with their abuser. Additionally, industries hit the hardest by the pandemic were those staffed predominantly by women, such as the hospitality, retail, and caregiving sectors. Women also might have had to juggle working from home while being responsible for childcare during school closure. Furthermore, Japan is undergoing a demographic change and rapidly shifting into a solo society, which resulted in more single women supporting themselves. As irregular employment is more common among female than male workers, women supporting themselves were more likely to face precarious financial situations amid the pandemic. Overall, women in Japan seemed to have felt the negative effects of the coronavirus pandemic more severely and in more aspects of their daily lives compared to men.

According to the latest available data, there were around 14.2 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 three times higher for men. Hospitalizations In 2021, there were around 517,000 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 288,000 such hospitalizations among women and 238,000 hospitalizations among men. Public opinionSuicide can be a divisive topic that involves religious and political views. Recent data shows that 72 percent of the U.S. population believes suicide is morally wrong, while 22 percent believe it to be morally acceptable. However, only 32 percent of adults believe it is “very important” to invest public dollars in the prevention of suicide.

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.

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.

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.

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.

Suicide mortality rate (per 100,000 population) in United States was reported at 16.1 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Suicide mortality rate (per 100,000 population) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

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.

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

Registered and expected suicide frequencies per week in 2020 in Germany.

This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data. For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:

Rossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132

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

Chad TD: Suicide Mortality Rate: Male data was reported at 10.300 NA in 2016. This records an increase from the previous number of 10.200 NA for 2015. Chad TD: Suicide Mortality Rate: Male data is updated yearly, averaging 9.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 10.300 NA in 2016 and a record low of 8.800 NA in 2000. Chad TD: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Legacy unique identifier: P00534

Forecast: Female Suicide Rates in Japan 2022 - 2026 Discover more data with ReportLinker!

Legacy unique identifier: P00537

Number of suicides and suicide rates, by sex and age, for England and Wales.

Legacy unique identifier: P00549

SPAN receives data from VHA suicide prevention coordinators relating to suicidal ideation and suicidal behavior of Veterans. Data include relevant historical activities and related medical concerns as reviewed in the Veteran's medical record. Data are submitted to VSSC and are cleaned, processed, and managed by statistical staff and program analysts at the VISN 2 Center of Excellence for Suicide Prevention on behalf of the Mental Health Services.