In the United States, the death rate by drowning for children and adolescents was highest among kids aged 1 to 4 years, reaching 2.4 deaths per 100,000 population in 2019. This statistic illustrates the rate of unintentional deaths by drowning among children and adolescents in the U.S. from 1999 to 2019, by age (per 100,000).

In the United States, over 75 percent of drowning deaths among kids under one year of age in 2018 and 2019 happened in the bathtub. This statistic shows the distribution of unintentional deaths by drowning among children and adolescents in the U.S. in 2018 and 2019, by age and place of drowning.

Since 1999, the death rate by drowning for kids 17 years and under remained higher among children and adolescents living in rural areas in the U.S. than those living in urban areas, reaching 1.6 per 100,000 for rural kids in 2019. This statistic illustrates the rate of unintentional deaths by drowning among children and adolescents in the U.S. from 1999 to 2019, by urban or rural status (per 100,000).

Between 1999 and 2019, the drowning death rate among kids aged 17 years and younger decreased in the U.S., although the rate has remained higher among males, reaching *** per 100,000 in 2019, compared to *** per 100,000 among females. This statistic illustrates the rate of unintentional deaths by drowning among children and adolescents in the U.S. from 1999 to 2019, by gender (per 100,000).

The statistic depicts the total number of deaths by drowning for children aged 0 to 4 years in Australia in financial year 2019, by location. It was reported that ** children between * and four years old died from drowning in swimming pools in Australia in that year.

From 1999 to 2019, the rate of fatal unintentional drowning in swimming pools among White, non-Hispanic children aged 1-4 years was 1.7 per 100,000 population. This statistic displays rates of fatal unintentional drowning in swimming pools among persons aged 29 and younger in the United States from 1999 to 2019, by age group and ethnicity.

This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 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 noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). Age groups for childhood death rates are based on age at death. SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); 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 National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. 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. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Abstract This study investigated the magnitude and trends of cause-specific mortality among children 5 to 14 years of age in the state of Rio de Janeiro (RJ) from 2000 to 2019. We performed an ecological study, using data from the Mortality Information System (MIS). We calculated mortality rates per 100,000 children by chapters, groups, and categories of causes of death (ICD-10). Trends were estimated by joinpoint regression. Mortality rates among children aged 10 to 14 years were higher than those among children 5 to 9. The five leading causes of death were the same in both age groups, but they ranked differently. The two leading ones were external causes and neoplasms (31% and 15% among children aged 5 to 9 years; 45% and 11% among children aged 10 to 14 years). Among children 5 to 9 years, the mortality trend showed an annual decline (8%) from 2011 to 2015. Among children aged 10 to 14 years, the annual decline was 1.3% from 2000 to 2019. Mortality due to external causes decreased in both age groups, except for the category “Assault by unspecified firearm” (boys, 10 to 14 years) and “Unspecified drowning and submersion” (boys, 5 to 9 years). Mortality caused by neoplasms remained steady in both age groups. Infectious and respiratory diseases decreased differently between the two groups. Most causes of death are preventable or treatable, indicating the need for health and intersectoral investments.

In the United States, the death rate by drowning for kids 17 years and under was highest among non-Hispanic black children, reaching 1.6 deaths per 100,000 population in 2019. In contrast, the death rate for drowning among Hispanic children was 0.8 per 100,000 that same year. This statistic illustrates the rate of unintentional deaths by drowning among children and adolescents in the U.S. from 1999 to 2019, by ethnicity (per 100,000).

Estimates of the number of children born in England and Wales who have experienced the death of their mother before they reach age 16 years. Data are taken from the Longitudinal Study.

IntroductionAlthough child and adolescent health is the core of the global health agenda, the cause of death and its expected contribution to life expectancy (LE) among those aged 5–14 are under-researched across countries, especially in low- and middle-income countries (LMICs).MethodsDeath rates per 10 years age group including a 5–14-year-old group were calculated by the formula, which used the population and the number of deaths segmented by the cause of death and gender from the 2019 Global Burden of Disease (GBD) study. LE and cause-eliminated LE in 10-year intervals were calculated by using life tables.ResultsIn 2019, the global mortality rate for children and adolescents aged 5–14 years was 0.522 (0.476–0.575) per 1,000, and its LF was 71.377 years. In different-income regions, considerable heterogeneity remains in the ranking of cause of death aged 5–14 years. The top three causes of death in low-income countries (LICs) are enteric infections [0.141 (0.098–0.201) per 1,000], other infectious diseases [0.103 (0.073–0.148) per 1,000], and neglected tropical diseases and malaria [0.102 (0.054–0.172) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5–14 age group by 0.085, 0.062, and 0.061 years, respectively. The top three causes of death in upper-middle income countries (upper MICs) are unintentional injuries [0.066 (0.061–0.072) per 1,000], neoplasm [0.046 (0.041–0.050) per 1,000], and transport injuries [0.045 (0.041–0.049) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5–14 age group by 0.045, 0.031, and 0.030 years, respectively.ConclusionThe mortality rate for children and adolescents aged 5–14 years among LMICs remains high. Considerable heterogeneity was observed in the main causes of death among regions. According to the main causes of death at 5–14 years old in different regions and countries at different economic levels, governments should put their priority in tailoring their own strategies to decrease preventable mortality.

Rate (per 1,000,000 children per year), and relative rate and excess deaths (compared to 2019−2020), by year of death, stratified by cause of death (total population estimate = 11,777,798).

From 1999 to 2019, there were 9,269 fatal unintentional drownings among children aged 1 to 4 years. Drowning is the second leading cause of death among children aged 1 to 4, after deaths from birth defects. This statistic presents the number of fatal unintentional drownings among persons aged 29 and younger in the United States from 1999 to 2019, by age group.

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.

Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138

THIS DATASET WAS LAST UPDATED AT 2:11 AM EASTERN ON JULY 15

OVERVIEW

2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

A total of 229 people died in mass killings in 2019.

The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

One-third of the offenders died at the scene of the killing or soon after, half from suicides.

About this Dataset

The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

This data will be updated periodically and can be used as an ongoing resource to help cover these events.

Using this Dataset

To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

Mass killings by year

Mass shootings by year

To get these counts just for your state:

Filter killings by state

Definition of "mass murder"

Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

Methodology

Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

This project started at USA TODAY in 2012.

Contacts

Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

BackgroundAlthough infant deaths worldwide have reduced, many children die before their first birthday. Infant deaths are widespread in low-income countries, and information about the cause of death is limited. In Ethiopia, 53% of infants’ deaths occurred in their neonatal period, and 174 infants’ deaths occurred from 3684 births. Hence, this study aimed to assess mothers’ experiences with infant death and its predictors in Ethiopia.MethodsA total of 1730 weighted samples of mothers from the 2019 EDHS dataset, which was collected across the regions of Ethiopia, were included for analysis. A two-stage cluster sampling technique with a cross-sectional study design was used. All mothers whose children were under the age of 0–12 months were included in this study. Six count regression models were considered and compared using Akaike’s information criteria and Bayesian information criterion with STATA version 15 software. The strength of the association between the number of infant deaths and possible predictors was determined at a P-value less than 0.05, with a 95% confidence interval. The findings were interpreted by using the incident rate ratio.ResultsA total of 46.3% of mothers had lost at least one infant by death in the last five years before the 2019 EDHS survey was held. The mean and variance of infant deaths were 2.55 and 5.58, respectively. The histogram was extremely picked at the beginning, indicating that a large number of mothers did not lose their infants by death, and that shows the data had positive skewness. Mothers under 25–29 years of age (IRR: 1.75, 95% CI:1.48, 2.24), and 30–34 years of age (IRR: 1.42, 95% CI: 1.12, 2.82), Somali (IRR: 1.47, 95% CI: 1.02, 3.57), Gambela (IRR: 1.33, 95% CI: 1.10, 2.61), and Harari (IRR: 1.39, 95% CI: 1.02, 2.63) regions, rural resident mothers (IRR: 1.68, 95% CI: 1.09, 1.91, and Protestant (IRR = 1.43, 95% CI: 1.14, 2.96), and Muslim (IRR = 1.59, 95% CI: 1.07, 2.62) religion fellow of mothers were associated with a high risk of infants’ deaths. Whereas, being rich IRR: 0.37, 95% CI: .27, .81) and adequate ANC visits (IRR: 0.28, 95% CI: .25, .83) were associated with a low risk of infant death.ConclusionMany mothers have experienced infant deaths, and the majority of infants’ deaths occur after the first month of birth. Encouraging mothers to attend antenatal care visits, creating mothers’ awareness about childcare, and ensuring equal health services distribution and utilization to rural residents are essential to minimize infant death. Educating lower-aged reproductive mothers would be a necessary intervention to prevent and control infant deaths.

The number of infants’ deaths per mothers, 2019 EMDHS.

Number of infant deaths per mothers’ sociodemographic characteristics in Ethiopia, 2019 EMDHS.

Number of infant deaths and infant mortality rates, by age group (neonatal and post-neonatal), 1991 to most recent year.