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

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.

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.

In 2023, Mississippi had the highest rate of teen births in the United States with approximately ** teen births per 1,000 women aged between 15 and 19 years. This statistic depicts the birth rates of teenagers in the United States aged 15 to 19 years in 2023, by state.

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

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.

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.

This dataset contains California’s adolescent birth rate (ABR) by county, age group and race/ethnicity using aggregated years 2014-2016. The ABR is calculated as the number of live births to females aged 15-19 divided by the female population aged 15-19, multiplied by 1,000. Births to females under age 15 are uncommon and thus added to the numerator (total number of births aged 15-19) in calculating the ABR for aged 15-19. The categories by age group are aged 18-19 and aged 15-17; births occurring to females under aged 15 are added to the numerator for aged 15-17 in calculating the ABR for this age group. The race and ethnic groups in this table utilized five mutually exclusive race and ethnicity categories. These categories are Hispanic and the following Non-Hispanic categories of Multi-Race, Black, American Indian (includes Eskimo and Aleut), Asian and Pacific Islander (includes Hawaiian) combined, and White. Note that there are birth records with missing race/ethnicity or categorized as “Other” and not shown in the dataset but included in the ABR calculation overall.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024

Teen Birth Rate - This indicator shows the rate of births to teens ages 15-19 years (per 1,000 population). Teen pregnancy is linked to a host of social problems such as poverty, lack of overall child well-being, out-of-wedlock births, lack of responsible fatherhood, health issues, school failure, child abuse and neglect and at-risk behaviors. https://health.maryland.gov/pophealth/Documents/SHIP/SHIP%20Lite%20Data%20Details/Teen%20Birth%20Rate.pdf" > Link to Data Details

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.

This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf). SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

Number of teen pregnancies and rates per 1,000 females, by pregnancy outcome (live births, induced abortions, or fetal loss), by age groups 15 to 17 years and 18 to 19 years, 1998 to 2000.

In 2023, the birth rate among Hispanic teenagers aged 15 to 19 years was **** per 1,000 women. In comparison, the birth rate among non-Hispanic Asian teens was just *** per 1,000. This statistic shows birth rates among teenagers and young adult women in the U.S. aged 15 to 19 in 1991 to 2023, by race/ethnicity.

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.

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states. Data are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.

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.

As of the 110th year, statistics related to children and adolescents.

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.

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.