This graph illustrates the distribution of young people and children who died in France in 2014, by age and cause of death. That year, about ** percent of people being between 15 and 14 years old died from external causes such as accidents or suicide.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

ObjectivePromoting adolescent health is essential to achieving the goals of the Healthy China 2030 (HC 2030) initiative. As socioeconomic conditions improve and medical practices and disease patterns evolve, adolescent mortality rates and causes of death vary considerably. This study provides up-to-date data on adolescent mortality and causes of death in China, highlighting key areas of focus for investment in adolescent health.MethodsData regarding mortality and causes of death in Chinese adolescents aged 10–19 years were extracted from the Global Burden of Disease study from 1990 to 2019. The data variables were examined according to year, sex, and age. The autoregressive integrated moving average model was used to predict non-communicable disease (NCD) mortality rates and rank changes in the leading causes of death until 2030.ResultsThe all-cause mortality rate (per 100,000 population) of Chinese adolescents aged 10–19 years steadily declined from 1990 (72.6/100,000) to 2019 (28.8). Male adolescents had a higher mortality (37.5/100,000 vs. 18.6 in 2019) and a slower decline rate (percent: −58.7 vs. −65.0) than female adolescents. Regarding age, compared with those aged 10–14 years, the mortality rate of adolescents aged 15–19 years had a higher mortality (35.9/100,000 vs. 21.2 in 2019) and a slower decrease rate (percent: −57.6 vs. −63.2). From 1990 to 2019, the rates of communicable, maternal, and nutritional diseases declined the most (percent: −80.0), while injury and NCDs mortality rates were relatively slow (percent: −50.0 and −60.0). In 2019, the five leading causes of death were road injuries (6.1/100,000), drowning (4.5), self-harm (1.9), leukemia (1.9), and congenital birth defects (1.3). Furthermore, NCDs' mortality rate decreased by −46.6% and −45.4% between 2015–2030 and 2016–2030, respectively.ConclusionA notable decline was observed in all-cause mortality rates among Chinese adolescents aged 10–19 years. In addition, the mortality rates of NCDs are projected to meet the target from the Global Strategy for Women's, Children's, and Adolescents' Health (2016–2030) and HC2030 reduction indicators by 2030. However, it should be noted that injury is the leading cause of death, with sexual and age disparities remaining consistent.

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

This dataset, released July 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2015; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; Infant deaths, 2011 to 2015; Child mortality: Deaths of children aged 1 to 4 years, 2011 to 2015; Youth mortality: Deaths of persons aged 15 to 24 years, 2011 to 2015. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2015; the National HPV Vaccination Program Register (NHVPR), February 2018; the ABS Census Estimated Resident Population (ERP) 2015; and deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Age-adjusted rate of death (all causes) by sex, race/ethnicity, age; trends. 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 (Numeric): Year of dataCategory (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); age categories as follows: child age groups: <1, 1 to 4, 5 to 11, 12 to 17; youth age groups: 10 to 19, 20 to 24; age groups 1: 0 to 17, 18 to 64, 65+; age groups 2: <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 StatesRate per 100,000 people (Numeric): Rate of deaths by all causes. 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.

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.

This data set contains the annual premature deaths and County Health Rankings for Utah. County rankings measure vital health factors, including high school graduation rates, obesity, smoking, unemployment, access to healthy foods, the quality of air and water, income, and teen births in nearly every county in Utah. The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work and play.

Bulgaria BG: Number of Deaths Ages 10-14 Years data was reported at 67.000 Person in 2019. This records an increase from the previous number of 65.000 Person for 2018. Bulgaria BG: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 119.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 246.000 Person in 1990 and a record low of 62.000 Person in 2016. Bulgaria BG: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Number and percentage of deaths, by month and place of residence, 1991 to most recent year.

This dataset, released February 2021, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2018; HPV vaccine coverage: females aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; HPV vaccine coverage: females aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; HPV vaccine coverage: males aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; Infant deaths, 2014 to 2018; Child mortality: Deaths of children aged 1 to 4 years, 2014 to 2018; Youth mortality: Deaths of persons aged 15 to 24 years, 2014 to 2018. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2018; the National HPV Vaccination Program Register (NHVPR), November 2018; the ABS Census Estimated Resident Population (ERP), 2017; and deaths data based on the 2014 to 2018 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Philippines PH: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.200 Ratio in 2016. This stayed constant from the previous number of 0.200 Ratio for 2015. Philippines PH: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.300 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.400 Ratio in 2000 and a record low of 0.200 Ratio in 2016. Philippines PH: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

This dataset, released November 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2017; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: females aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; HPV vaccine coverage: males aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; Infant deaths, 2011 to 2015; Child mortality: Deaths of children aged 1 to 4 years, 2011 to 2015; Youth mortality: Deaths of persons aged 15 to 24 years, 2011 to 2015. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2017; the National HPV Vaccination Program Register (NHVPR), February 2018 and November 2018; the ABS Census Estimated Resident Population (ERP) 2015 and 2017; and deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Ghana GH: Number of Deaths Ages 20-24 Years data was reported at 4,335.000 Person in 2019. This records an increase from the previous number of 4,299.000 Person for 2018. Ghana GH: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 4,699.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5,351.000 Person in 1990 and a record low of 4,253.000 Person in 2016. Ghana GH: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Abstract The aim of this paper is to analyze the sex mortality differential in the city of São Paulo, in 2005 and 2015, by analyzing the differential levels and patterns as well as the contribution of different age groups and the main causes of death. The calculated indicators were the differential in life expectancy at birth, the sex ratio between specific mortality rates and the contribution of age groups and causes of death to the differential. The results show that the greater gain of men in life expectancy at birth contributed to the reduction of 1.30 years in the differential between the two years studied. Moreover, despite the high sex ratios among youth-specific mortality rates, older people contributed most to explaining the female advantage in mortality. Finally, circulatory diseases, neoplasms and external causes were responsible for the major contributions to the differential. However, the analysis of the pattern of causes of death together with the age pattern shows that for the elderly, whose contribution is greater to the differential, circulatory diseases, neoplasms and respiratory diseases were more decisive in the formation of the differential.

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

The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the NYPD Motor Vehicle Collisions page (updated weekly) or Vision Zero View (updated monthly).

Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

This dataset, released November 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2017; HPV vaccine coverage: …Show full descriptionThis dataset, released November 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2017; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: females aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; HPV vaccine coverage: males aged 15 years in mid-2017, who received Dose 3 of the vaccine by 2018; Infant deaths, 2011 to 2015; Child mortality: Deaths of children aged 1 to 4 years, 2011 to 2015; Youth mortality: Deaths of persons aged 15 to 24 years, 2011 to 2015. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data provided by the Australian Childhood Immunisation Register, Medicare Australia, 2017; the National HPV Vaccination Program Register (NHVPR), February 2018 and November 2018; the ABS Census Estimated Resident Population (ERP) 2015 and 2017; and deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Abbreviation Information: "ASR per #" - Indirectly age-standardised rate per specified population. "SDR" - Indirectly age-standardised death ratio. "95% C.I" - upper and lower 95% confidence intervals. "URP" - Usual Resident Population. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

In 2024, it was estimated that 2,573 migrants died while crossings the Mediterranean Sea. As of 2025, 1,293 casualties were recorded so far. However, the accurate number of deaths recorded in the Mediterranean Sea cannot be ascertained. Between 2014 and 2018, for instance, about 12,000 people who drowned were never found. Casualties and missing people Worldwide, it was estimated that 8,000 people died in the attempt to flee their country. According to estimations, over 5,000 refugees lost their lives in the attempt to reach the European shores in 2016. Therefore, the Mediterranean Sea was the deadliest migration route. Indeed, over the last couple of years, the Mediterranean Sea held the largest number of casualties and missing people. Western, Central, and Eastern route According to migration studies, the Mediterranean Sea is crossed by a Western, a Central, and an Eastern route. Out of these routes, the Central Mediterranean route was the deadliest. In 2016, roughly 4,600 people lost their lives while pursuing this route. The identification of bodies is challenging due to the sea. In 2019, for instance, the vast majority of refugees who drowned in the Mediterranean Sea were not identified and their country of origin untraceable.