29 datasets found
  1. Leading causes of death among teenagers aged 15-19 years in the United...

    • statista.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Leading causes of death among teenagers aged 15-19 years in the United States 2020-23 [Dataset]. https://www.statista.com/statistics/1017959/distribution-of-the-10-leading-causes-of-death-among-teenagers/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. Leading causes of death among children and teens aged 1-19 U.S. 2020-2021

    • statista.com
    Updated Jun 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Leading causes of death among children and teens aged 1-19 U.S. 2020-2021 [Dataset]. https://www.statista.com/statistics/1384047/leading-causes-of-death-for-children-and-teens-us/
    Explore at:
    Dataset updated
    Jun 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. Number of deaths for the leading causes among U.S. teenagers 15-19 in 2022...

    • statista.com
    Updated Oct 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Number of deaths for the leading causes among U.S. teenagers 15-19 in 2022 and 2023 [Dataset]. https://www.statista.com/statistics/1613114/number-of-deaths-10-leading-causes-of-death-among-teenagers/
    Explore at:
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  5. Teenage Online Behavior and Cybersecurity Risks

    • kaggle.com
    Updated Oct 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DatasetEngineer (2024). Teenage Online Behavior and Cybersecurity Risks [Dataset]. http://doi.org/10.34740/kaggle/dsv/9587284
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    DatasetEngineer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset Description:

    This dataset captures the real-world online behavior of teenagers, focusing on e-safety awareness, cybersecurity risks, and device interactions. The data was collected from network activity logs and e-safety monitoring systems across various educational institutions and households in Texas and California. Spanning from January 2017 to October 2024, this dataset includes interactions with social media platforms, educational websites, and other online services, providing an in-depth look at teenage online activities in urban and suburban settings. The dataset is anonymized to protect user privacy and contains real incidents of network threats, security breaches, and cybersecurity behavior patterns observed in teenagers.

    Use Cases:

    Predicting e-safety awareness and online behavior patterns. Detecting malware exposure risk and cybersecurity vulnerabilities. Analyzing online habits related to social media and internet consumption. Evaluating cybersecurity behaviors like password strength, VPN usage, and phishing attempts. Features Overview:

    S.No Feature Name Description 1 Device Type The type of device used during the online session (Mobile, Laptop, Tablet, Desktop, etc.) 2 Malware Detection Whether malware was detected on the device during the session (Yes/No) 3 Phishing Attempts Number of phishing attempts experienced during online activity 4 Social Media Usage Frequency of social media usage (Low, Medium, High) 5 VPN Usage Whether a VPN was used during the session (Yes/No) 6 Cyberbullying Reports Number of reported cyberbullying incidents 7 Parental Control Alerts Number of alerts triggered by parental control software 8 Firewall Logs Number of blocked or allowed network connections by the firewall 9 Login Attempts Number of login attempts during the session 10 Download Risk Risk level associated with downloaded files (Low, Medium, High) 11 Password Strength Strength of the passwords used (Weak, Moderate, Strong) 12 Data Breach Notifications Number of alerts regarding compromised personal information 13 Online Purchase Risk Risk level of online purchases made (Low, Medium, High) 14 Education Content Usage Frequency of engagement with educational content (Low, Medium, High) 15 Age Group Age category of the teenager (Under 13, 13-16, 17-19) 16 Geolocation Location of network access (US, EU, etc.) 17 Public Network Usage Whether the online activity occurred over a public network (Yes/No) 18 Network Type Type of network connection (WiFi, Cellular, etc.) 19 Hours Online Total hours spent online during the session 20 Website Visits Number of websites visited per hour during the session 21 Peer Interactions Level of peer-to-peer interactions during online activity 22 Risky Website Visits Whether visits to risky websites occurred (Yes/No) 23 Cloud Service Usage Whether cloud services were accessed during the session (Yes/No) 24 Unencrypted Traffic Whether unencrypted network traffic was accessed during the session (Yes/No) 25 Ad Clicks Whether online advertisements were clicked during the session (Yes/No) 26 Insecure Login Attempts Number of insecure login attempts made (e.g., over unencrypted networks) Potential Research and Machine Learning Applications:

    Cybersecurity and anomaly detection models. Predictive modeling for e-safety awareness and risk behaviors. Time-series analysis of internet consumption and security threat trends. Behavioral clustering and pattern recognition in teenage online activity. Data Collection Method: The data was collected through collaboration with local schools and cybersecurity monitoring agencies. Real-time network monitoring systems captured interactions across different online platforms. All personally identifiable information (PII) was anonymized to ensure privacy, making the dataset ideal for public use in research and machine learning tasks.

    This dataset provides a rich foundation for studying teenage online behavior patterns and developing predictive models for cybersecurity awareness and risk mitigation. Researchers and data scientists can use this data to create models that better understand online behavior, identify security risks, and design interventions to improve e-safety for teenagers.

  6. G

    Curfew-Based Driver Alerts for Teens Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Growth Market Reports (2025). Curfew-Based Driver Alerts for Teens Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/curfew-based-driver-alerts-for-teens-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Curfew-Based Driver Alerts for Teens Market Outlook



    According to our latest research, the Curfew-Based Driver Alerts for Teens market size reached USD 1.34 billion globally in 2024, with a robust CAGR of 13.2% projected through the forecast period. By 2033, the market is expected to attain USD 4.13 billion, driven by increasing parental concerns about teen driver safety and the rapid adoption of connected vehicle technologies. As per our most recent analysis, the market’s growth is propelled by technological advancements, legislative support for teen safety, and a rising awareness of the importance of monitoring young drivers.




    One of the primary growth factors for the Curfew-Based Driver Alerts for Teens market is the escalating concern among parents and guardians regarding the safety of teenage drivers. With road accidents ranking as a leading cause of death among adolescents, there is a growing demand for proactive solutions that minimize risky driving behaviors. Curfew-based alerts, which notify stakeholders when a teen operates a vehicle outside designated safe hours, have become crucial tools in this context. The combination of real-time monitoring and automated alerts empowers parents and guardians to intervene promptly, reducing the likelihood of accidents and unauthorized vehicle use. This heightened awareness, coupled with a societal shift towards prioritizing youth safety, is significantly bolstering market growth.




    Another significant driver is the integration of advanced telematics and IoT-based technologies into both new and existing vehicles. The proliferation of GPS, cellular, and Bluetooth connectivity has enabled the seamless implementation of curfew-based alert systems, making them more accessible and reliable. Automotive manufacturers and aftermarket solution providers are increasingly embedding these technologies as standard or optional features, thus expanding their reach. Moreover, the software and hardware ecosystem supporting these alerts is evolving rapidly, with enhanced user interfaces, robust data analytics, and improved alert accuracy. This technological evolution not only enhances the effectiveness of curfew-based driver alerts but also contributes to their widespread adoption across different vehicle types and use cases.




    Legislative initiatives and insurance incentives are also playing a pivotal role in driving market expansion. Governments in several regions are enacting stricter regulations aimed at improving teen driver safety, such as graduated driver licensing (GDL) programs and mandatory parental supervision. Insurance companies, in turn, are offering premium discounts and tailored policies for families that adopt curfew-based monitoring solutions. These regulatory and financial incentives are encouraging more parents, schools, and fleet operators to invest in such systems, thereby accelerating market penetration. Furthermore, public awareness campaigns and partnerships between technology providers and educational institutions are fostering a culture of responsible driving among teens, further supporting market growth.




    From a regional perspective, North America currently dominates the Curfew-Based Driver Alerts for Teens market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, has witnessed widespread adoption due to high vehicle ownership rates, supportive insurance frameworks, and proactive legislation. Meanwhile, rapid urbanization and increasing disposable incomes in Asia Pacific are expected to drive substantial growth in the coming years, with the region forecasted to achieve the highest CAGR during the forecast period. Europe’s focus on road safety and stringent regulatory standards also contribute to its significant market presence. Latin America and the Middle East & Africa, while still emerging, are showing promising growth potential as awareness and infrastructure improve.





    Component Analysis



    The Curfew-Based Driver Ale

  7. Deaths and age-specific mortality rates, by selected grouped causes

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Deaths and age-specific mortality rates, by selected grouped causes [Dataset]. http://doi.org/10.25318/1310039201-eng
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  8. Leading causes of death among females aged 15-19 years in 2015

    • statista.com
    Updated May 16, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2017). Leading causes of death among females aged 15-19 years in 2015 [Dataset]. https://www.statista.com/statistics/708761/leading-causes-of-death-females-aged-15-to-19-years-globally/
    Explore at:
    Dataset updated
    May 16, 2017
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    Worldwide
    Description

    This statistic presents the global death rates for the leading causes of deaths among females aged 15 to 19 years in 2015, per 100,000 population. Maternal conditions emerged as the leading cause of global deaths among adolescent females aged 15 to 19 years with a death rate of **** per 100,000 population, followed by self-harm and road injury.

  9. Mortality rates, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Dec 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2024). Mortality rates, by age group [Dataset]. http://doi.org/10.25318/1310071001-eng
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  10. Leading causes of death among young people South Korea 2010-2022

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading causes of death among young people South Korea 2010-2022 [Dataset]. https://www.statista.com/statistics/1232794/south-korea-number-of-death-among-young-people-by-cause/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2022, the leading cause of death among people aged 10 to 24 years old in South Korea was suicide, resulting in approximately **** deaths per 100,000 population. Suicide has been the primary cause of death among people aged 10 to 24 in South Korea for the past few years.

  11. Customer Segmentation : Clustering

    • kaggle.com
    zip
    Updated Jan 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vishakh Patel (2024). Customer Segmentation : Clustering [Dataset]. https://www.kaggle.com/datasets/vishakhdapat/customer-segmentation-clustering
    Explore at:
    zip(63448 bytes)Available download formats
    Dataset updated
    Jan 13, 2024
    Authors
    Vishakh Patel
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Customer Personality Analysis involves a thorough examination of a company's optimal customer profiles. This analysis facilitates a deeper understanding of customers, enabling businesses to tailor products to meet the distinct needs, behaviors, and concerns of various customer types.

    By conducting a Customer Personality Analysis, businesses can refine their products based on the preferences of specific customer segments. Rather than allocating resources to market a new product to the entire customer database, companies can identify the segments most likely to be interested in the product. Subsequently, targeted marketing efforts can be directed toward those particular segments, optimizing resource utilization and increasing the likelihood of successful product adoption.

    Details of Features are as below:

    • Id: Unique identifier for each individual in the dataset.
    • Year_Birth: The birth year of the individual.
    • Education: The highest level of education attained by the individual.
    • Marital_Status: The marital status of the individual.
    • Income: The annual income of the individual.
    • Kidhome: The number of young children in the household.
    • Teenhome: The number of teenagers in the household.
    • Dt_Customer: The date when the customer was first enrolled or became a part of the company's database.
    • Recency: The number of days since the last purchase or interaction.
    • MntWines: The amount spent on wines.
    • MntFruits: The amount spent on fruits.
    • MntMeatProducts: The amount spent on meat products.
    • MntFishProducts: The amount spent on fish products.
    • MntSweetProducts: The amount spent on sweet products.
    • MntGoldProds: The amount spent on gold products.
    • NumDealsPurchases: The number of purchases made with a discount or as part of a deal.
    • NumWebPurchases: The number of purchases made through the company's website.
    • NumCatalogPurchases: The number of purchases made through catalogs.
    • NumStorePurchases: The number of purchases made in physical stores.
    • NumWebVisitsMonth: The number of visits to the company's website in a month.
    • AcceptedCmp3: Binary indicator (1 or 0) whether the individual accepted the third marketing campaign.
    • AcceptedCmp4: Binary indicator (1 or 0) whether the individual accepted the fourth marketing campaign.
    • AcceptedCmp5: Binary indicator (1 or 0) whether the individual accepted the fifth marketing campaign.
    • AcceptedCmp1: Binary indicator (1 or 0) whether the individual accepted the first marketing campaign.
    • AcceptedCmp2: Binary indicator (1 or 0) whether the individual accepted the second marketing campaign.
    • Complain: Binary indicator (1 or 0) whether the individual has made a complaint.
    • Z_CostContact: A constant cost associated with contacting a customer.
    • Z_Revenue: A constant revenue associated with a successful campaign response.
    • Response: Binary indicator (1 or 0) whether the individual responded to the marketing campaign.
  12. d

    Mental Health of Children and Young People Surveys

    • digital.nhs.uk
    Updated Sep 30, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Mental Health of Children and Young People Surveys [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-of-children-and-young-people-in-england
    Explore at:
    Dataset updated
    Sep 30, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Feb 15, 2021 - Mar 28, 2021
    Description

    This is the second (wave 2) in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in February/March 2021, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education, and services during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2021 (MHCYP 2021), wave 2 follow up was based on 3,667 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing three primary aims: Aim 1: Comparing mental health between 2017 and 2021 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - Topic 2 examines the circumstances and experiences of children and young people in February/March 2021 and the preceding months, covering: COVID-19 infection and symptoms. Feelings about social media use. Family connectedness. Family functioning. Education, including missed days of schooling, access to resources, and support for those with Special Educational Needs and Disabilities (SEND). Changes in circumstances. How lockdown and restrictions have affected children and young people’s lives. Seeking help for mental health concerns. Aim 3: Present more detailed data on the mental health, circumstances and experiences of children and young people by ethnic group during the coronavirus pandemic (where sample sizes allow). The data is broken down by gender and age bands of 6 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories where a time series is available, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter.

  13. Adolescent suicide rates in the U.S. by state as of 2023

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Adolescent suicide rates in the U.S. by state as of 2023 [Dataset]. https://www.statista.com/statistics/666791/states-with-highest-number-of-adolescent-suicidal-deaths-in-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    New Mexico was the state with the highest rate of suicidal death among adolescents in the U.S. in 2023, with around **** deaths per 100,000 adolescents. The overall suicide rate in the U.S. has increased over recent years. Suicide is more common among men than women, with rates among men almost **** times higher than among women. Risk factors Risk factors for suicide include mental disorders, such as depression, bipolar disorder, and personality disorders, as well as substance abuse. In fact, suicidal thoughts, plans to commit suicide, and suicide attempts are all more common among those with drug or alcohol dependence or abuse. In terms of suicides due to a known mental disorder, depression accounts for around ** percent of all such suicides. Methods Most suicides in the United States are carried out by firearms, however, the most common method of suicide differs from country to country. In 2022, over ****** suicides in the United States were conducted by firearms, or just over half of all suicides that year. Firearms are the most common means of suicide among both men and women in the United States, but suicide by poisoning is much more common among women than men.

  14. Gun homicide rate U.S. 2022, by race and age

    • statista.com
    Updated May 26, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Gun homicide rate U.S. 2022, by race and age [Dataset]. https://www.statista.com/statistics/1466060/gun-homicide-rate-by-race-and-age-us/
    Explore at:
    Dataset updated
    May 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In the United States, Black people have higher rates of gun homicide than White people across all age groups. As of 2022, gun homicide rates were highest among Black people aged between 15 and 24 years, at ***** gun homicides per 100,000 of the population. In comparison, there were only **** gun homicides per 100,000 of the White population within this age range. However, the risk for gun homicide was greatest among all adolescents and adults between the ages of 15 to 44 in that year. The impact of guns on young Americans In the last few years, firearms have become the leading cause of death for American children and teenagers aged one to 19 years old, accounting for more deaths than car crashes and diseases. School shootings also remain on the rise recently, with the U.S. recording ** times as many school shootings than other high-income nations from 2009 to 2018. Black students in particular experience a disproportionately high number of school shootings relative to their population, and K-12 teachers at schools made up mostly of students of color are more likely to report feeling afraid that they or their students would be a victim of attack or harm. The right to bear arms Despite increasingly high rates of gun-related violence, gun ownership remains a significant part of American culture, largely due to the fact that the right to bear arms is written into the U.S. Constitution. Although firearms are the most common murder weapon used in the U.S., accounting for approximately ****** homicides in 2022, almost **** of American households have at least one firearm in their possession. Consequently, it is evident that firearms remain easily accessible nationwide, even though gun laws may vary from state to state. However, the topic of gun control still causes political controversy, as the majority of Republicans agree that it is more important to protect the right of Americans to own guns, while Democrats are more inclined to believe that it is more important to limit gun ownership.

  15. Favorite social networks of U.S. teens 2012-2023

    • statista.com
    Updated Nov 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Favorite social networks of U.S. teens 2012-2023 [Dataset]. https://www.statista.com/statistics/250172/social-network-usage-of-us-teens-and-young-adults/
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In a fall 2023 survey, it was found that TikTok was the most important social network for 38 percent of U.S. teens. Snapchat ranked second, with 28 percent of teenagers in the United States stating it to be their favorite, ahead of Instagram. Teens and the internet in the United States It is no secret that the young really know what’s what when it comes to new technologies these days. Especially those born in the internet era and who only know of analog telephones and cameras from stories of their elders seem to be constantly online and always following the latest tech trends. In fact, a recent survey shows that some 92 percent of American teens accessed the internet on a daily basis, where 56 claim to connect several times a day, and 24 percent are connected almost constantly to the internet. Furthermore, the move from desktop computers to mobile devices insured that teenagers would be some of the most fervent users of mobile internet, anytime, anywhere.

  16. Main causes of death among young adults in India 2017-2019

    • statista.com
    Updated Nov 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Main causes of death among young adults in India 2017-2019 [Dataset]. https://www.statista.com/statistics/643464/leading-causes-of-death-among-young-adults-india/
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    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.

  17. U.S. teens (16-19) who are enrolled in school and working 1985-2022

    • statista.com
    Updated Nov 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. teens (16-19) who are enrolled in school and working 1985-2022 [Dataset]. https://www.statista.com/statistics/477668/percentage-of-youth-who-are-enrolled-in-school-and-working-in-the-us/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, around 20.3 percent of teenagers between ages 16 and 19 were employees while enrolled at school in the United States. This is an increase from the previous year, when 19.4 percent of teenagers were working while in school.

  18. Leading cosmetics brands among teens in the U.S. 2025

    • statista.com
    Updated Oct 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading cosmetics brands among teens in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1293797/leading-cosmetics-brands-among-gen-z-in-the-us/
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 8, 2025 - Sep 22, 2025
    Area covered
    United States
    Description

    According to data from a survey conducted in 2025 in the United States, the leading cosmetics brand among U.S. female teenagers in that year was e.l.f, with about ** percent of consumers choosing this brand. Rare Beauty by Selena Gomez ranked second, with a share of ***** percent, followed by Maybelline, which was popular with around *** percent of respondents. Beauty’s main target audience Gen Z is one of the generations most interested in the beauty and personal care industry, especially when it comes to the skincare segment. In 2024, the leading skincare brand among U.S. Zoomers was CeraVe, as stated by about ** percent of participants in a survey. Meanwhile, the most popular beauty shopping destination in the country in 2025 was Sephora, followed by Ulta Beauty. Younger consumers have become the new target audience of most cosmetic brands, which are constantly reinventing themselves in order to adapt to their lifestyles, needs, and values. e.l.f e.l.f. is not only the leading cosmetics brand among U.S. Gen Z but also one of the most popular in the whole country. In fact, in 2023, brand awareness of e.l.f. was measured at ** percent among American beauty shoppers. In the same year, the company generated net sales amounting to approximately *********** U.S. dollars, a much higher result than in the prior fiscal years. A further increase in the brand’s popularity can be expected in the future, also thanks to its wide range of cruelty-free cosmetic products that meet the growing need of consumers for less harmful personal care items.

  19. COVID-19 deaths reported in the U.S. as of June 14, 2023, by age

    • statista.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, COVID-19 deaths reported in the U.S. as of June 14, 2023, by age [Dataset]. https://www.statista.com/statistics/1191568/reported-deaths-from-covid-by-age-us/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Jun 14, 2023
    Area covered
    United States
    Description

    Between the beginning of January 2020 and June 14, 2023, of the 1,134,641 deaths caused by COVID-19 in the United States, around 307,169 had occurred among those aged 85 years and older. This statistic shows the number of coronavirus disease 2019 (COVID-19) deaths in the U.S. from January 2020 to June 2023, by age.

  20. U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic...

    • statista.com
    Updated Nov 4, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189204/us-teens-children-screen-time-daily-coronavirus-before-during/
    Explore at:
    Dataset updated
    Nov 4, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    United States
    Description

    As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominate In an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdown As most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista, Leading causes of death among teenagers aged 15-19 years in the United States 2020-23 [Dataset]. https://www.statista.com/statistics/1017959/distribution-of-the-10-leading-causes-of-death-among-teenagers/
Organization logo

Leading causes of death among teenagers aged 15-19 years in the United States 2020-23

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

Search
Clear search
Close search
Google apps
Main menu