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.

According to a survey conducted in 2022, 46 percent of teenagers in the United States said that social media had a positive effect on them personally due to being able to connect and socialize on such services. Overall, six percent of respondents reported feeling that social media provided benefits to their well-being and mental health.

According to a survey conducted in the United States in 2023, ** percent of social media users aged between 13 and 17 years used YouTube, down from ** percent in 2022. As for TikTok, ** percent of U.S. teens used the app, down from ** percent in 2022. Additionally, Snapchat, Instagram, X (formerly Twitter), and Twitch all saw a slight ******* in usage amongst teens in the United States. Facebook and WhatsApp saw increases in usage among this demographic.

According to a 2023 survey conducted in the United States, teenagers spent an average of 4.8 hours every day on social media platforms. Girls spent 5.3 hours on social networks daily, compared to 4.4 hours for boys. YouTube and TikTok were the most popular online networks among those aged 13 to 19, with 1.9 and 1.5 hours of average daily engagement, respectively. The most used platform for girls was TikTok, while the most used platform for boys was YouTube. Are teens constantly connected to social media? YouTube, TikTok, Instagram and Snapchat are the most attractive and time-consuming platforms for young internet users. A survey conducted in the U.S. in 2023 found that 62 percent of teenagers were almost constantly connected to Instagram, and 17 percent were almost constantly connected to TikTok. Overall, 71 percent of teens used YouTube daily, and 47 percent used Snapchat daily. Furthermore, YouTube had a 93 percent reach among American teens in 2023, down from 95 percent in 2022. Teens and their internet devices For younger generations especially, social media is mostly accessed via mobile devices, and almost all teenagers in the United States have smartphone access. A 2023 survey conducted in the U.S. found that 92 percent of teens aged 13 to 14 years had access to a smartphone at home, as well as 97 percent of those aged 15 to 17. Additionally, U.S. girls were slightly more likely than their male counterparts to have access to a smartphone.

Interactive Summary Health Statistics for Teens provide estimates of selected health topics for youth aged 12-17 years based on final data from the National Health Interview Survey— Teen.

Introduction

Teenage Pregnancy Statistics: Teenage pregnancy, occurring in females aged 13 to 19, presents significant public health and socio-economic challenges.

It is influenced by factors such as lack of sexual education, socio-economic disadvantages, and family dynamics.

Teenage mothers face higher risks of health complications, and their children may experience low birth weight and developmental delays.

The impact extends to educational and economic outcomes, with affected adolescents often struggling to complete their education and secure stable employment.

Preventive measures include comprehensive sex education, access to contraception, and robust support systems.

Effective strategies require community engagement and supportive policies to address and mitigate these challenges.

The National Health Interview Survey (NHIS)—Teen was a follow-back survey of Sample Children ages 12-17 years old (herein teen) for whom a parent completed the National Health Interview Survey (NHIS) and also provided permission for the teen to participate. NHIS—Teen is a self-administered survey that teens completed themselves either on the web or paper (mailed). Recruitment for NHIS—Teen occurred July 2021—December 2023 during the NHIS Sample Child interview. Teens with permission received an invitation to go online and complete a questionnaire about their own health. Mailed paper questionnaires were sent to nonrespondents. Questions were included to test concordance with parent-reported responses, address time-sensitive data needs, assess public health attitudes or behaviors, and contribute to developmental work to understand differences between parent and self-reported measures of health.

The majority of NHIS—Teen survey content focused on the health behaviors, social and emotional wellbeing, and healthcare experiences of teens. Detailed sociodemographic characteristics (e.g. health insurance coverage type, family income) as reported by the parent in the NHIS Sample Child interview can be linked to NHIS—Teen. NHIS—Teen was a pilot survey with data collection concluding in March 2024. There are currently no plans to field additional iterations.

A survey conducted in 2022 found that 23 percent of teenagers in the United States who felt negatively impacted by social media reported having concerns about the amount of time they spent on such services. Furthermore, 22 percent of teens in the country said that social media negatively impacted them because of its potential negative effects on mental health.

The rising trend in Singaporean teenager suicidal cases reflects a concerning societal issue, with the numbers steadily increasing over the past few years. In 2022, the total cases reached 429, marking a continuous uptick since 2018. The consistent year-on-year rise suggests a complex interplay of various factors impacting the mental well-being of teenagers, including academic pressure, social expectations, and the challenges posed by the modern digital landscape. Addressing this alarming trend requires a comprehensive approach that involves not only mental health support but also broader societal measures to create a more supportive and understanding environment for teenagers. The 12-month prevalences of psychiatric disorders based on age groups in 2022 underscore a notable variation in mental health challenges across different life stages. Among individuals aged 15-22, 7% of the population reported experiencing any psychiatric disorder, indicating a higher prevalence in this younger age bracket. The prevalence decreases in older age groups, with 4.9% for ages 23-30, 0.5% for ages 31-50, and 0.7% for those aged 50 and above. These findings highlight the importance of targeted mental health interventions, especially for adolescents and young adults, while acknowledging the evolving nature of mental health needs across the lifespan. Understanding these age-specific patterns can inform tailored strategies for prevention, early intervention, and support across diverse age demographics.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. DEFINITIONS Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model. NOTES Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5). Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used. Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4). The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6). County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7). SOURCES National Center for Health Statistics. Vital statistics data available online, Natality all-county files. Hyattsville, MD. Published annually. For details about file release and access policy, see NCHS data release and access policy for micro-data and compressed vital statistics files, available from: http://www.cdc.gov/nchs/nvss/dvs_data_release.htm. For natality public-use files, see vital statistics data available online, available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. National Center for Health Statistics. U.S. Census populations with bridged race categories. Estimated population data available. Postcensal and intercensal files. Hyattsville, MD

The goal of this study was to test specific hypotheses illustrating the relationships among serious victimization experiences, the mental health effects of victimization, substance abuse/use, and delinquent behavior in adolescents. The study assessed familial and nonfamilial types of violence. It was designed as a telephone survey of American youth aged 12-17 living in United States households and residing with a parent or guardian. One parent or guardian in each household was interviewed briefly to establish rapport, secure permission to interview the targeted adolescent, and to ensure the collection of comparative data to examine potential nonresponse bias from households without adolescent participation. All interviews with both parents and adolescents were conducted using Computer-Assisted Telephone Interviewing (CATI) technology. From the surveys of parents and adolescents, the principal investigators created one data file by attaching the data from the parents to the records of their respective adolescents. Adolescents were asked whether violence and drug abuse were problems in their schools and communities and what types of violence they had personally witnessed. They were also asked about other stressful events in their lives, such as the loss of a family member, divorce, unemployment, moving to a new home or school, serious illness or injury, and natural disaster. Questions regarding history of sexual assault, physical assault, and harsh physical discipline elicited a description of the event and perpetrator, extent of injuries, age at abuse, whether alcohol or drugs were involved, and who was informed of the incident. Information was also gathered on the delinquent behavior of respondents and their friends, including destruction of property, assault, theft, sexual assault, and gang activity. Other questions covered history of personal and family substance use and mental health indicators, such as major depression, post-traumatic stress disorders, weight changes, sleeping disorders, and problems concentrating. Demographic information was gathered from the adolescents on age, race, gender, number of people living in household, and grade in school. Parents were asked whether they were concerned about violent crime, affordable child care, drug abuse, educational quality, gangs, and the safety of their children at school. In addition, they were questioned about their own victimization experiences and whether they discussed personal safety issues with their children. Parents also supplied demographic information on gender, marital status, number of children, employment status, education, race, and income.

Statistics on youth in foster care reported in compliance with Local Law 145 amended by City Council. Cells with one to five youth are not shown to protect anonymity.

Introduction

Teenage Pregnancy Statistics: Teenage pregnancy remains a major global issue, with statistics shedding light on its far-reaching effects on young women, their families, and society as a whole. These figures offer critical insights into the prevalence, trends, and underlying factors that contribute to teenage pregnancies.

They highlight the various challenges adolescents face, including health risks, socioeconomic obstacles, and limited access to education and healthcare. By analyzing these statistics, we can better understand the root causes of teenage pregnancies and develop targeted solutions to support young mothers and reduce the occurrence of teenage pregnancy globally.

Nationally representative, longitudinal data describing functioning of and services for children who are reported to child protective services

In 2022, ******* was the most used online platform by teens in the United States, with **** percent of respondents reporting using the platform at least once per month. Overall, ****** was the second most used social media platform by teens in the U.S., with over ** percent of respondents using the service. By 2026, it is estimated that ** percent of teens in the U.S. will be using the popular video app.

Financial overview and grant giving statistics of Teens Who Care

Vaccination Coverage among Adolescents (13-17 Years) • Data on adolescent vaccination coverage and selected sociodemographic characteristics by State, HHS Region, and the United States from the National Immunization Survey-Teen (NIS-Teen). • Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html

Financial overview and grant giving statistics of Teens in Progress

This webinar highlighted several research projects conducting secondary analysis on the National Survey on Child and Adolescent Well-Being (NSCAW), a study funded by ACF's Office of Planning Research and Evaluation (OPRE). This survey is a five-year longitudinal study of 5501 children who had contact with the child welfare system. Research using NSCAW data informs policy and practice in child welfare services and other services to maltreated children and their families, and advances the state of knowledge in child maltreatment, child welfare, child and family services, and/or child development for high-risk children. Presenters: Barbara J. Burns, Ph.D., Duke University School of Medicine; Sandra Jee, Ph.D., University of Rochester Medical Center; and Dana Schultz, Ph.D., Rand Corporation View the Webinar (WMV - 52MB) Metadata-only record linking to the original dataset. Open original dataset below.