As of 2022, the U.S. states with the highest death rates from suicide were Montana, Alaska, 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.

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.

United States US: Suicide Mortality Rate: Male data was reported at 23.600 NA in 2016. This records an increase from the previous number of 23.000 NA for 2015. United States US: Suicide Mortality Rate: Male data is updated yearly, averaging 20.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.600 NA in 2016 and a record low of 17.900 NA in 2000. United States US: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.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;

United States US: Suicide Mortality Rate: per 100,000 Population data was reported at 15.300 Number in 2016. This records an increase from the previous number of 15.000 Number for 2015. United States US: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 13.200 Number from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 15.300 Number in 2016 and a record low of 11.300 Number in 2000. United States US: Suicide Mortality Rate: per 100,000 Population 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. 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;

United States US: Suicide Mortality Rate: Female data was reported at 7.200 NA in 2016. This records an increase from the previous number of 7.100 NA for 2015. United States US: Suicide Mortality Rate: Female data is updated yearly, averaging 5.900 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 7.200 NA in 2016 and a record low of 4.900 NA in 2000. United States US: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.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;

Age-adjusted rate of suicide deaths by sex, race/ethnicity, age; trends if available. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017; U.S. Census Bureau; 2010 Census, Tables PCT12, PCT12H, PCT12I, PCT12J, PCT12K, PCT12L, PCT12M; generated by Baath M.; using American FactFinder; Accessed June 20, 2017. METADATA:Notes (String): Lists table title, notes and sourcesYear (String): Year of data; presented as pooled years (2007 to 2016)Category (String): Lists the category representing the data: Santa Clara County is for total population, age categories as follows: <18, 18 to 44, 45 to 64, 65+; 10 to 19, 20 to 24; 10 to 24; <1, 1 to 4, 5 to 14, 15 to 24, 25 to 34, 35 to 44, 45 to 54, 55 to 64, 65 to 74, 75 to 84, 85+; United States and Healthy People 2020 targetRate per 100,000 people (Numeric): Suicide rate. Rates for age groups are reported as age-specific rates per 100,000 people. All other rates are age-adjusted rates per 100,000 people.

Age-adjusted death rate due to suicide, New Jersey.

Rate: Number of suicides per 100,000 persons (age-adjusted).

Definition: Deaths with suicide as the underlying cause. Suicide is defined as death resulting from the intentional use of force against oneself. ICD-10 codes: X60-X84, Y87.0

Data Sources:

1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

Mexico suicide rate for 2021 was 6.95, a 9.28% increase from 2020.

<ul style='margin-top:20px;'>

<li>Mexico suicide rate for 2020 was <strong>6.36</strong>, a <strong>3.41% increase</strong> from 2019.</li>
<li>Mexico suicide rate for 2019 was <strong>6.15</strong>, a <strong>6.03% increase</strong> from 2018.</li>
<li>Mexico suicide rate for 2018 was <strong>5.80</strong>, a <strong>2.29% increase</strong> from 2017.</li>
</ul>Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).

Japan suicide rate for 2021 was 17.43, a 1.57% increase from 2020.

<ul style='margin-top:20px;'>

<li>Japan suicide rate for 2020 was <strong>17.16</strong>, a <strong>4.19% increase</strong> from 2019.</li>
<li>Japan suicide rate for 2019 was <strong>16.47</strong>, a <strong>2.37% decline</strong> from 2018.</li>
<li>Japan suicide rate for 2018 was <strong>16.87</strong>, a <strong>1.86% decline</strong> from 2017.</li>
</ul>Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).

ABSTRACT Objective To describe the epidemiological profile and analyze the time trend of suicide mortality among adolescents (10-19 years old) from the Brazilian Northeast, from 2001 to 2015. Methods This is an observational study, which took place in the Northeast region, Brazil. The study period was from 2001 to 2015. Deaths from intentional self-harm (X60 to X84). exogenous poisoning of undetermined intent (Y10 to Y19) and intentional self-harm (Y87.0) were considered, according to the 10th Review of the International Classification of Diseases (ICD-10), for adolescents aged 10 to 19 years. The variables analyzed were: sex, age group, race / color, specific ICD, state of residence and suicide mortality rate/100,000 inhabitants. Results There were 3,194 deaths due to suicide in the age group studied, with a male predominance (62.1%; n = 1,984), age group 15 to 19 years (84.8%; n = 2,707), race/brown color (65.4%; n = 2,090); between 4 and 7 years of schooling (31.7%; n = 1,011) and at CID X70 (47.8%; n = 1,528). The time trend of mortality was increasing from 2001 to 2015 (APC: 2.4%; p < 0.01), with higher rates in males. There was an increasing trend in the suicide rate, among men, throughout the period (AAPC: 2.9%; p < 0.01). In women, a decreasing trend was identified as of 2004 (APC: -2.2%; p < 0.01). Conclusion The epidemiological profile was characterized by male gender, age group 15-19 years, color/brown race and average schooling. The trend showed a growth pattern in males and a decline in females. It is recommended that public policies are aimed at the adolescent population.

description:

This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD 10). Drug-poisoning deaths are defined as having ICD 10 underlying cause-of-death codes X40 X44 (unintentional), X60 X64 (suicide), X85 (homicide), or Y10 Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files. Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011 2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD 10 codes for unintentional poisoning as R99, Other ill-defined and unspecified causes of mortality. For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD 10). Drug-poisoning deaths are defined as having ICD 10 underlying cause-of-death codes X40 X44 (unintentional), X60 X64 (suicide), X85 (homicide), or Y10 Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files. Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011 2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD 10 codes for unintentional poisoning as R99, Other ill-defined and unspecified causes of mortality. For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Abstract Background The World Health Organization defines suicide as the act of deliberately killing oneself. It is the second leading cause of death among 15-29 year olds globally. Objective To analyze the epidemiological profile and the spatial distribution of suicide deaths in the state of Sergipe. Methods We performed an ecological time-series study with data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade – SIM) about deaths by suicide occurring between 2000 and 2015. We considered as suicide deaths cases recorded as voluntary self-inflicted injuries. Suicide rates were estimated and age-adjusted in the population above 9 years. We analyzed temporal trends by sex and age groups using the simple linear regression model. For the spatial analysis, we performed Kernel density estimation with the software TerraView version 4.2.2. Results We identified 1,560 suicide cases in the state of Sergipe between 2000 and 2015, with a mean of 97.5 cases per year. We also observed that suicide rates in the state increased 102.3% (from 2.69/100,000 population in 2000 to 5.44 in 2015). Suicides occurred predominantly among males (1,160 cases; 74.35%), single people (1,010 cases; 64.7%), and brown-skinned people (1,039 cases; 66.6%). We observed significantly growing temporal trends in the general population, especially among male adults. Spatial analysis allowed us to draw a map that showed the regions with the highest occurrence of suicide. Conclusion We observed growing suicide trends in the state of Sergipe and the spatial analysis was an important tool that showed the areas with higher incidences of suicide.

This statistic shows estimated age-standardized suicide rates worldwide in 2012, sorted by income group as defined by the World Health Organization for its member states. For that year, the WHO estimated that there were around 11.4 suicides per every 100 thousand population worldwide. More than 80 percent of all suicides globally were conducted in poorer member states.

In 2024, the 50- to 59-year-old age group had the highest suicide rate in Japan, with **** suicides per 100,000 inhabitants. The self-inflicted death rate among young people under 20 years was ***. Japan's recent suicide rates While the country's suicide rate had initially shown a downward trend in the most recent decade, 2020 marked the first year that the suicide numbers rose again. The COVID-19 pandemic likely caused this unexpected upward trend. From a gender perspective, Japanese men were more likely to commit suicide than women. **** deaths per 100,000 male inhabitants were reported in 2024, compared to a female suicide rate of **** in the same year. What are the reasons behind Japan’s high suicide rates?  Many factors are being blamed for the Japan's high suicide rates, including bullying, isolation, and a lack of a proficient mental healthcare system. Among others, financial worries and problems directly related to work have been one of the main reasons for self-inflicted deaths in the past years. Historically, the country's high suicide rates have been closely linked to the economic situation of the individuals. Japan’s suicide numbers peaked in 2009 when the country experienced its worst recession since World War II.

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2).

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

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.

Analysis of ‘NCHS - Injury Mortality: United States’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8dc5d5f6-9799-4230-9a90-7d7d77853cbe on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2).

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

--- Original source retains full ownership of the source dataset ---

Abbreviations: CI, Confidence Interval; ICD, International Classification of Diseases; SMR, Standardized Mortality Ratio; SCCS, Southern Community Cohort StudyPanel A: Ratio of the directly standardized rate in the 12 SCCS states (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia) to the directly standardized rate in the remaining 38 states.Panel B: Standardized mortality ratio of SCCS population relative to mortality rates in the 12 SCCS states.Rate ratios for external causes of death among the population age 40 and over in the 12 SCCS states, and in the SCCS population, by race and sex.

Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.