As of 2023, the third leading cause of death among teenagers aged 15 to 19 years in the United States was intentional self-harm or suicide, contributing to around 17 percent of deaths among this age group. The leading cause of death at that time was unintentional injuries, contributing to around 38.6 percent of deaths, while 20.7 percent of all deaths in this age group were due to assault or homicide. Cancer and heart disease, the overall leading causes of death in the United States, are also among the leading causes of death among U.S. teenagers. Adolescent suicide in the United States In 2021, around 22 percent of students in grades 9 to 12 reported that they had seriously considered attempting suicide in the past year. Female students were around twice as likely to report seriously considering suicide compared to male students. In 2023, New Mexico had the highest rate of suicides among U.S. teenagers, with around 28 deaths per 100,000 teenagers, followed by Idaho with a rate of 22.5 per 100,000. The states with the lowest death rates among adolescents are New Jersey and New York. Mental health treatment Suicidal thoughts are a clear symptom of mental health issues. Mental health issues are not rare among children and adolescents, and treatment for such issues has become increasingly accepted and accessible. In 2021, around 15 percent of boys and girls aged 5 to 17 years had received some form of mental health treatment in the past year. At that time, around 35 percent of youths aged 12 to 17 years in the United States who were receiving specialty mental health services were doing so because they had thought about killing themselves or had already tried to kill themselves.

In 2023, the leading cause of death among teenagers in the United States aged 15 to 19 was accidents or unintentional injuries. At that time, there were 4,937 deaths among teens aged 15 to 19 years due to accidents. Homicide was the second leading cause of death among teens in this age group, with 2,648 deaths.

Over the last few years, gun violence in the United States has become an increasingly deadly public health crisis. In 2021, firearms were the leading cause of death for children and adolescents aged one to 19 years old for a second year in a row in the United States, with ***** deaths from firearms, which accounted for more deaths than car crashes and other diseases in that year. This is an increase from the previous year, when there were ***** deaths from firearms. Gun violence in the U.S. Along with a rise in gun-related deaths, the United States has been experiencing an overall increase in gun violence, including mass shootings, school shootings, and gun homicides. Not surprisingly, the United States has also reported in increase in gun sales, with the unit sales for firearms reaching a new high in recent years. A uniquely American problem Despite the rise of gun violence and gun-related deaths, guns remain easily accessible in the United States and gun control has become a divisive issue throughout the nation. However, gun control proponents often call attention to the uniquely American phenomenon of school shootings. Since 2018, the annual number of incidents involving firearms at K-12 schools in the U.S. reached over *** in each year, while similar incidents in other countries with strict gun laws are exceptionally rare.

Abstract Mortality indicators for Brazilians aged between 10 and 24 years old were analyzed. Data were obtained from the Global Burden of Disease (GBD) 2019 Study, and absolute numbers, proportion of deaths and specific mortality rates from 1990 to 2019 were analyzed, according to age group (10 to 14, 15 to 19 and 20 to 24 years), sex and causes of death for Brazil, regions and Brazilian states. There was a reduction of 11.8% in the mortality rates of individuals aged between 10 and 24 years in the investigated period. In 2019, there were 13,459 deaths among women, corresponding to a reduction of 30.8% in the period. Among men there were 39,362 deaths, a reduction of only 6.2%. There was an increase in mortality rates in the North and Northeast and a reduction in the Southeast and South states. In 2019, the leading cause of death among women was traffic injuries, followed by interpersonal violence, maternal deaths and suicide. For men, interpersonal violence was the leading cause of death, especially in the Northeast, followed by traffic injuries, suicide and drowning. Police executions moved from 77th to 6th place. This study revealed inequalities in the mortality of adolescents and young adults according to sex, causes of death, regions and Brazilian states.

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.

Introductionour objective was to analyze the trends in the leading causes of death among the pediatric population aged 1–19 years in Mexico and the United States (US) from 2000 to 2022. Methods. Data for Mexico were sourced from the National Institute of Statistics and Geography (INEGI), while the US data were extracted from the Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (CDC-WONDER) databases.ResultsHomicide has been the leading cause of death since 2017 in Mexico and since 2019 in US youths aged 1–19. In Mexico, it reached 6.5 deaths per 100,000 people in 2022. Despite the overall pediatric mortality decline from 2000 to 2022 in both countries, the pediatric homicide rate has increased by 93.3 and 35.8% In Mexico and the US, respectively, and suicide by 86.6 and 36.9%. In both countries, death by firearm-related injuries had risen in a parallel sense. In the US, deaths by drug overdose and poisoning have increased by 314.8%.ConclusionDespite advancements in infant healthcare over the past two decades in Mexico, there remains a significant gap in the provision of healthcare services to the adolescent population. Addressing issues related to violence, mental health, and substance abuse through targeted public policies is imperative for both Mexico and the US, especially given their shared border region.

NOTE. RRfem, Relative risk for females compared with males; CI, confidence interval; χ2, chi-squared.aStatistics presented exclude deaths with undetermined cause (n = 174); of 238 NCD deaths, 13 ‘other’ NCDs are excluded from main cause of death analysis.bCD, communicable diseases (HIV, TB, malaria, other common infections).cHIV/TB is the combination of all deaths diagnosed with either TB or HIV as the cause of death.dSignificantly higher proportion of deaths in males, inverse RRmales presented [in brackets].

EMSIndicators:The number of individual patients administered naloxone by EMSThe number of naloxone administrations by EMSThe rate of EMS calls involving naloxone administrations per 10,000 residentsData Source:The Vermont Statewide Incident Reporting Network (SIREN) is a comprehensive electronic prehospital patient care data collection, analysis, and reporting system. EMS reporting serves several important functions, including legal documentation, quality improvement initiatives, billing, and evaluation of individual and agency performance measures.Law Enforcement Indicators:The Number of law enforcement responses to accidental opioid-related non-fatal overdosesData Source:The Drug Monitoring Initiative (DMI) was established by the Vermont Intelligence Center (VIC) in an effort to combat the opioid epidemic in Vermont. It serves as a repository of drug data for Vermont and manages overdose and seizure databases. Notes:Overdose data provided in this dashboard are derived from multiple sources and should be considered preliminary and therefore subject to change. Overdoses included are those that Vermont law enforcement responded to. Law enforcement personnel do not respond to every overdose, and therefore, the numbers in this report are not representative of all overdoses in the state. The overdoses included are limited to those that are suspected to have been caused, at least in part, by opioids. Inclusion is based on law enforcement's perception and representation in Records Management Systems (RMS). All Vermont law enforcement agencies are represented, with the exception of Norwich Police Department, Hartford Police Department, and Windsor Police Department, due to RMS access. Questions regarding this dataset can be directed to the Vermont Intelligence Center at dps.vicdrugs@vermont.gov.Overdoses Indicators:The number of accidental and undetermined opioid-related deathsThe number of accidental and undetermined opioid-related deaths with cocaine involvementThe percent of accidental and undetermined opioid-related deaths with cocaine involvementThe rate of accidental and undetermined opioid-related deathsThe rate of heroin nonfatal overdose per 10,000 ED visitsThe rate of opioid nonfatal overdose per 10,000 ED visitsThe rate of stimulant nonfatal overdose per 10,000 ED visitsData Source:Vermont requires towns to report all births, marriages, and deaths. These records, particularly birth and death records are used to study and monitor the health of a population. Deaths are reported via the Electronic Death Registration System. Vermont publishes annual Vital Statistics reports.The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) captures and analyzes recent Emergency Department visit data for trends and signals of abnormal activity that may indicate the occurrence of significant public health events.Population Health Indicators:The percent of adolescents in grades 6-8 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who drank any alcohol in the past 30 daysThe percent of adolescents in grades 9-12 who binge drank in the past 30 daysThe percent of adolescents in grades 9-12 who misused any prescription medications in the past 30 daysThe percent of adults who consumed alcohol in the past 30 daysThe percent of adults who binge drank in the past 30 daysThe percent of adults who used marijuana in the past 30 daysData Sources:The Vermont Youth Risk Behavior Survey (YRBS) is part of a national school-based surveillance system conducted by the Centers for Disease Control and Prevention (CDC). The YRBS monitors health risk behaviors that contribute to the leading causes of death and disability among youth and young adults.The Behavioral Risk Factor Surveillance System (BRFSS) is a telephone survey conducted annually among adults 18 and older. The Vermont BRFSS is completed by the Vermont Department of Health in collaboration with the Centers for Disease Control and Prevention (CDC).Notes:Prevalence estimates and trends for the 2021 Vermont YRBS were likely impacted by significant factors unique to 2021, including the COVID-19 pandemic and the delay of the survey administration period resulting in a younger population completing the survey. Students who participated in the 2021 YRBS may have had a different educational and social experience compared to previous participants. Disruptions, including remote learning, lack of social interactions, and extracurricular activities, are likely reflected in the survey results. As a result, no trend data is included in the 2021 report and caution should be used when interpreting and comparing the 2021 results to other years.The Vermont Department of Health (VDH) seeks to promote destigmatizing and equitable language. While the VDH uses the term "cannabis" to reflect updated terminology, the data sources referenced in this data brief use the term "marijuana" to refer to cannabis. Prescription Drugs Indicators:The average daily MMEThe average day's supplyThe average day's supply for opioid analgesic prescriptionsThe number of prescriptionsThe percent of the population receiving at least one prescriptionThe percent of prescriptionsThe proportion of opioid analgesic prescriptionsThe rate of prescriptions per 100 residentsData Source:The Vermont Prescription Monitoring System (VPMS) is an electronic data system that collects information on Schedule II-IV controlled substance prescriptions dispensed by pharmacies. VPMS proactively safeguards public health and safety while supporting the appropriate use of controlled substances. The program helps healthcare providers improve patient care. VPMS data is also a health statistics tool that is used to monitor statewide trends in the dispensing of prescriptions.Treatment Indicators:The number of times a new substance use disorder is diagnosed (Medicaid recipients index events)The number of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation events)The number of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement events)The percent of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation rate)The percent of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement rate)The MOUD treatment rate per 10,000 peopleThe number of people who received MOUD treatmentData Source:Vermont Medicaid ClaimsThe Vermont Prescription Monitoring System (VPMS)Substance Abuse Treatment Information System (SATIS)

To: State, territorial, tribal, and local policymakers and administrators of agencies and programs focused on child, youth, and family health and well-being

Dear Colleagues,

Thank you for your work to support children, youth, and families. Populations served by Administration for Children and Families (ACF)-funded programs — including victims of trafficking or violence, those who are unhoused, and young people and families involved in the child welfare system — are often at particularly high risk for substance use and overdose. A variety of efforts are underway at the federal, state, and local levels to reduce overdose deaths. These efforts focus on stopping drugs from entering communities, providing life-saving resources, and preventing drug use before it starts. Initiatives across the country are already saving lives: the overdose death rate has declined over the past year but remains too high at 32.6 per 100,000 individuals.

Fentanyl, a powerful synthetic opioid, raises the risk of overdose deaths because even a tiny amount can be deadly. Young people are particularly at risk for fentanyl exposure, driven in part by widespread availability of counterfeit pills containing fentanyl that are marketed to youth through social media. While overdose deaths among teens have recently begun to decline, there were 6,696 deaths among adolescents and young adults in 2022 (the latest year with data available)[1], making unintentional drug overdose the second leading cause of death for youth ages 15—19 and the first leading cause of death among young adults ages 20-24.[2]

Often these deaths happen with others nearby and can be prevented when opioid overdose reversal medications, like naloxone, are administered in time. CDC’s State Unintentional Drug Overdose Reporting System dashboard shows that in all 30 jurisdictions with available data, 64.7% of drug overdose deaths had at least one potential opportunity for intervention.[3] Naloxone rapidly reverses an overdose and should be given to any person who shows signs of an opioid overdose or when an overdose is suspected. It can be given as a nasal spray. Studies show that naloxone administration reduces death rates and does not cause harm if used on a person who is not overdosing on opioids. States have different policies and regulations regarding naloxone distribution and administration. Forty-nine states and the District of Columbia have Good Samaritan laws protecting bystanders who aid at the scene of an overdose.[4]

ACF grant recipients and partners can play a critical role in reducing overdose deaths by taking the following actions:

Stop Overdose Now

(U.S. Centers for Disease Control and Prevention)

Integrating Harm Reduction Strategies into Services and Supports for Young Adults Experiencing Homelessness (PDF) (ACF)

Thank you for your dedication and partnership. If you have any questions, please contact your local public health department or state behavioral health agency. Together, we can meaningfully reduce overdose deaths in every community.

/s/

Meg Sullivan

Principal Deputy Assistant Secretary

[1] Products - Data Briefs - Number 491 - March 2024

[2] WISQARS Leading Causes of Death Visualization Tool

[3] SUDORS Dashboard: Fatal Drug Overdose Data | Overdose Prevention | CDC

[4] Based on 2024 report from the Legislative Analysis and Public Policy Association

(PDF). Note that the state of Kansas adopted protections as well following the publication of this report.

Metadata-only record linking to the original dataset. Open original dataset below.

This statistic presents the global death rates for the leading causes of death among adolescents aged 10 to 19 years in 2015, per 100,000 population. At this time, road injuries were the leading cause of global deaths among adolescents aged 10 to 19 years with a death rate of *** per 100,000 population.

BackgroundCancer is an important cause of human death. We aimed to analyze the cancer burden in adolescents and young adults aged 10–24 years at global, regional, and national levels from 1990 to 2021.MethodsWe analyzed global burden of disease (GBD) data from 1990 to 2021 to assess the cancer-related incidence, prevalence, death, disability-adjusted life-years (DALYs), and the corresponding age-standardized rates (ASRs) in adolescents and young adults aged 10–24 years by region, country, sociodemographic index(SDI), etiology and gender stratification. In addition, we evaluated health inequities caused by cancer burden from 1990 to 2021 and used bayesian age-period-cohort (BAPC) model to assess trend of the total cancer burden in adolescents and young adults aged 10–24 years.ResultsIn 2021, there were 235, 249.05(95%UI, 21, 7211.16 to 251, 1070.1) new cancer cases in adolescents and young adults aged 10–24 years and 94856.02 (95%UI: 85970.2 to 102769.63) deaths worldwide. In addition, there were 13499, 913.04 (95%UI, 1252506.95 to 1442998.32) prevalent cases and 6, 918, 657.72 (95%UI: 6, 254, 353.93 to 7, 480202.6) DALYs. Over the past 30 years, the age-standardized incidence rate (ASIR) and the age-standardized prevalence rate (ASPR) of total cancer in adolescents and young adults aged 10–24 years have increased globally, with the most significant increases in regions with high SDI, such as North America and parts of Europe and Asia. The age-standardized death rate(ASDR) and age-standardized DALY rate of total cancer have decreased significantly globally in adolescents and young adults aged 10–24 years. The ASDR and age-standardized DALY rate of total cancer in adolescents and young adults aged 10–24 years were highest in countries with lower SDI, particularly in South America and Africa. Among all regions, Tokelau, Niue, and Afghanistan had the highest ASDR in 2021. Among all cancers, leukemia, brain cancers and malignant neoplasm of bone & articular cartilage were the most common causes of cancer death in adolescents and young adults aged 10–24 years in 2021.ConclusionsGlobally, the total cancer burden of adolescents and young adults aged 10–24 years have increased significantly over the past 30 years. Differences in adolescent and young adult cancer burden were evident across regions with different SDI levels. Developing effective strategies to reduce the total cancer burden of adolescents and young adults was critical to promoting global equity and population health.

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.

Abstract This study seeks to determine the differences in youth mortality in Mexico based on selected causes by sex and extreme levels of municipal marginalization in two triennia (2004-2006 and 2015-2017) and to establish a relationship between the differences found, the social environment and the availability of health resources. Using official data, years of life lost (YLL) between 0 and 85 years old and YLL for the 15-29-year-old age group were calculated for 15 of the main causes of death in Mexico in both triennia; the YLL was calculated for municipalities grouped into two categories: high and very high marginalization (HaVHMA) and low and very low marginalization (LaVLMA). Violent deaths (especially homicides) are the main causes of death in young women and men throughout Mexico, regardless of the level of marginalization, and increased from the first to second triennia studied. Men aged 15 to 29 years in HaVHMA municipalities had an excess YLL compared to those in LaVLMA municipalities in 13 of the 15 causes analyzed for 2004-2006 and in all causes for 2015-2017; for women, excess was observed for 13 of 15 causes in each triennium. These findings reflect the unfair disadvantages to which young people are exposed in HaVHMA municipalities.

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

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

Rate: Homicide deaths per 100,000 persons aged 20-24

Definition: Deaths where homicide is indicated as the underlying cause of death. Homicide is defined as death resulting from the intentional use of force or power, threatened or actual, against another person, group, or community. ICD-10 Codes: X85-Y09, Y87.1 (homicide)

Data Source:

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

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

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Abstract Introduction. Adolescence is considered a healthy stage of life and therefore little studied. This study described mortality over time in teenagers in Uruguay and analysed the burden of disease at this stage of life by the measure of Years of Life Lost by Premature Death in Uruguay and by comparison with rates in Latin America and the Caribbean by sex, cause and sub-region. Methodology. Secondary data sources used were the national registry of deaths in Uruguay, the first Global Burden of Disease study in Uruguay and the information on the data visualisation page of the Institute of Metrics and Health Evaluation. Data were extracted by the authors and displayed in tables and graphs. Results. Teenager mortality held roughly stable between 1997 and 2015. More years were lost to premature death among Uruguayan men, the main causes being traffic accidents, self-inflicted injuries and violence. The same behaviour occurs throughout the region. Conclusions. The social determinants of health connected with poverty and inequality play a role in the development of depression, risky and violent behaviour, which possibly explain the loss of years due to premature death in adolescence.

Road accidents were the leading causes of death among young adults across India between 2017 and 2019. It accounted to **** percent of the deaths. Suicide was another main cause of death among young adults with the age of 15 to 29 years, with a **** percent share during the same time period.

The Youth Risk Behavior Surveillance System (YRBSS) monitors 6 types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults, including: behaviors that contribute to unintentional injuries and violence; sexual behaviors that contribute to unintended pregnancy and sexually transmitted diseases (STDs), including HIV infection; alcohol and other drug use; tobacco use; unhealthy dietary behaviors; inadequate physical activity. YRBSS also measures the prevalence of obesity and asthma among youth and young adults. YRBSS includes a national school-based survey conducted by CDC and state, territorial, tribal, and local surveys conducted by state, territorial, and local education and health agencies and tribal governments.

Suicide among children and young people (CYP) is a leading cause of death. In the UK children identified as suicidal are referred to Child and Adolescent Mental Health Services (CAMHS) for assessment and treatment. However, the number of children referred for suicidality, and their care journey is unknown. This retrospective cohort study conducted in two distinct CAMHS teams, in Scotland, UK, aimed to quantify the numbers of children referred for suicidality, describing this population and the outcomes of these referrals. All CAMHS referrals (n = 1159) over a 6-month period (Jan-June 2019) were screened to identify those referred primarily for suicidality. Data extracted included: age, gender, source of referral, reason for referral including underlying issues, whether offered an assessment, and referral outcome. Area based deprivation scores were attached to each referral. Associations between the referred CYP's characteristics (including source of referral and underlying issues) and referral outcomes were explored using Chi Square, Fishers Exact test, and one-way ANOVA. Referrals for 284 children were identified as being for suicidality across the two sites (Site A n = 104; Site B n = 180). These represented 25% of all referrals to these CAMHS over a six-month period. One third of these concerned children under 12. The underlying issues, referrals sources, and demographic indicators were similar in both sites. In site A 31% were offered an assessment, whilst in Site B which had a dedicated team for suicidal CYP, 82% were offered an assessment. Similarly, more children in Site B were offered treatment (47.8%), than Site A (7.7%). Referrals from A&E were prioritized in both areas, and those who had attempted suicide offered an assessment more often. Older children were more likely to be offered treatment, although they were more likely to present with a history of self-harming behavior and/or previous suicide attempt. There are high numbers of children being referred to CAMHS for suicidality, and many are young children (