From 2018 to 2019, around *** percent of Hispanic adolescents aged 12 to 17 years in the United States reported having a substance abuse disorder during the past year. This statistic illustrates the percentage of adolescents in the U.S. with substance abuse disorders from 2018 to 2019, by race and ethnicity.

Identifies Tempe youth regarding substance misuse and other problematic youth behaviors, utilizing the Arizona Youth Survey that is administered by the Arizona Criminal Justice Commission, on behalf of the State of Arizona, biennially to Arizona 8th, 10th and 12th grade students. This alllows for data driven decision making to provide comprehensive youth substance use prevention educations to youth, parents, educators, and community stakeholders. This data also assist in creating goals and objectives to support Tempe youth along with securing grant funding from federal and state agencies. This page provides data for the Youth Drug Use and Misuse performance measure. The performance measure dashboard is available at 1.21 Youth Drug Use and MisuseAdditional InformationSource: Arizona Criminal Justice Commission Statistical Analysis CenterContact: Bernadette CogginsContact E-Mail: Bernadette_Coggins@tempe.govData Source Type: Excel; csvPreparation Method: Data extracted from Arizona Youth Survey, then manually compiled by outcomePublish Frequency: Every 2 years Publish Method: ManualData Dictionary (update pending)

This short report uses data from the 2010 and 2011 National Surveys on Drug Use and Health (NSDUHs), the 2010 Treatment Episode Data Set (TEDS), the 2010 National Survey of Substance Abuse Treatment Services (N-SSATS), and the 2011 Drug Abuse Warning Network (DAWN) to present facts about adolescent substance use, including information on the initiation of substance use, past year substance use, emergency department visits, and receipt of substance use treatment.

This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

Maintain the percentage of youth ages 12-17 exposed to a substance abuse prevention message at 86.6% every year through 2018.

Understanding the factors influencing youth smoking and drug experimentation is essential for shaping effective prevention strategies. This synthetic dataset simulates trends from 2020 to 2024, providing insights into demographic, social, and economic influences on substance use among young individuals.

With approximately 10,000 AI-generated records, this dataset serves as a risk-free and ethically responsible resource for researchers, policymakers, and analysts to explore substance use patterns and their potential causes.

🔍 Key Features: ✔️ Age Groups – Covers a broad spectrum, from 10 to 80 years ✔️ Smoking Prevalence – Modeled insights into smoking engagement among youth ✔️ Drug Experimentation Rates – Simulated trends in drug use patterns ✔️ Socioeconomic Influences – Examines how financial background correlates with substance use ✔️ Peer & Family Influence – Analyzes the role of social circles and family support in youth behavior

📊 Dataset Overview: This dataset is synthetically generated and does not contain real-world data. It is designed for educational purposes, research simulations, and analytical practice in understanding youth substance use trends.

🏢 Columns Description: Person_ID – Unique identifier for each synthetic individual Age – Modeled age group (10–80 years) Gender – Simulated gender representation Socioeconomic_Status – Categorized as Low, Middle, or High Smoking_Status – Modeled likelihood of smoking (Yes/No) Drug_Experimentation – Simulated data on whether the individual has experimented with drugs Family_Influence – Influence level of family support on behavior Peer_Influence – Impact of peer pressure on substance use ⚠️ Disclaimer: This dataset is entirely synthetic and should not be used for real-world policy decisions, medical research, or official reporting. It is intended solely for academic learning, trend analysis, and data science practice.

🔹 Use this dataset to explore trends, develop predictive models, and contribute to meaningful discussions on youth health and substance use prevention! 🌟

Curated U.S. statistics on substance use and overdose, grouped by drug category for quick comparison (NSDUH 2024; CDC WONDER 2023; CDC MMWR 2025; TFAH 2025).

Around 25 percent of U.S. respondents in grades 8, 10, and 12 in 2024 stated that they used any illicit drug within their lifetime. This survey shows the lifetime prevalence of use of any illicit drug for grades 8, 10, and 12 combined from 1991 to 2024.

Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

Drug Abuse Treatment Outcome Study - Adolescent (DATOS-A) was a multisite, prospective, community-based, longitudinal study of adolescents entering treatment. It was designed to evaluate the effectiveness of adolescent drug treatment by investigating the characteristics of the adolescent population, the structure and process of drug abuse treatment in adolescent programs, and the relationship of these factors with outcomes. Three major types or modalities of programs included in the study were chemical dependency or short-term inpatient (STI), therapeutic community or residential (RES), and outpatient drug-free (ODF). The adolescent battery of instruments included intake, intreatment, and follow-up questionnaires based largely on the DATOS adult study DRUG ABUSE TREATMENT OUTCOME STUDY (DATOS), 1991-1994: UNITED STATES instrument format, with considerable tailoring to the adolescent population. Clients entering treatment completed two comprehensive intake interviews (Intake 1 and Intake 2), approximately one week apart. This information is provided in Parts 1 and 2 of the data collection. These interviews were designed to obtain baseline data on drug use and other behaviors, such as illegal involvement, as well as information on background and demographic characteristics, education and training, mental health status, employment, income and expenditures, drug and alcohol dependence, health, religiosity and self-concept, and motivation and readiness for treatment. The one-, three-, and six-month intreatment interviews (Parts 3, 4, and 7) included items on treatment access, intreatment experience, and psychological functioning, as well as questions replicated from some of the domains in the Intake 1 and 2 questionnaires. The 12-month post-treatment follow-up interview (Part 5) included questions replicated from the previous interviews, and also included post-treatment status. Part 6 includes variables for time in treatment and interview availability indicators. The Measures Data (Part 8) were generated by using the Diagnostic and Statistical Manual of Mental Disorders (Rev. 3rd ed., DSM-III-R) (American Psychiatric Association, 1987). The variables in Part 8 give either the DSM-III-R level of dependence to a drug category or they describe whether the subject meets the DSM-III-R standard for a particular disorder. The 12-Month Follow-up Urine Result data (Part 9) provide the results from urine sample tests that were given to a sample of subjects at the time of the 12-Month Follow-up Interview. The urine test was used to ascertain the nature and extent of bias in the self-reports of the respondents. Urine specimens were tested for eight categories of drugs (amphetamines, barbiturates, benzodiazepines, cannabinoids, cocaine metabolite, methaqualone, opiates, and phencyclidine). The drugs covered in the study were alcohol, tobacco, marijuana (hashish, THC), cocaine (including crack), heroin, narcotics or opiates such as morphine, codeine, Demerol, Dilaudid, and Talwin, illegal methadone, sedatives and tranquilizers such as barbiturates and depressants, amphetamines or other stimulants such as speed or diet pills, methamphetamines, LSD, PCP, and other hallucinogens or psychedelics, and inhalants such as glue, gasoline, paint thinner, and aerosol sprays. The study also included drug of choice, frequency, and route of administration.

The percentages of adolescents who were exposed to drug or alcohol use prevention messages in the past year by talking with their parents, through the media, or through school sources were generally lower in 2015 than in most years between 2002 and 2012 and were comparable with 2013 and 2014. In 2015, about 3 out of 4 adolescents aged 12 to 17 were exposed to substance use prevention messages in the media or at school, and about 1 out of 2 adolescents talked with their parents about substance use.

Database of the nation''s substance abuse and mental health research data providing public use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health. The goal is to increase the use of the data to most accurately understand and assess substance abuse and mental health problems and the impact of related treatment systems. The data include the U.S. general and special populations, annual series, and designs that produce nationally representative estimates. Some of the data acquired and archived have never before been publicly distributed. Each collection includes survey instruments (when provided), a bibliography of related literature, and related Web site links. All data may be downloaded free of charge in SPSS, SAS, STATA, and ASCII formats and most studies are available for use with the online data analysis system. This system allows users to conduct analyses ranging from cross-tabulation to regression without downloading data or relying on other software. Another feature, Quick Tables, provides the ability to select variables from drop down menus to produce cross-tabulations and graphs that may be customized and cut and pasted into documents. Documentation files, such as codebooks and questionnaires, can be downloaded and viewed online.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2007 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

In 2020, the drug abuse arrest rate for persons under age 18 in Wyoming stood at ***, the most out of any state. The national average stood at *** in that same year. The arrest rate is defined as the number of arrests of persons under age 18 for every 100,000 persons aged 10 to 17.

This report uses 2002 to 2010 National Survey on Drug Use and Health (NSDUH) to assess the average number of adolescents aged 12 to 17 using substances for the first time per day for the year as a whole and for each month of the year. Substances examined include alcohol, cigarettes, cigars, marijuana, nonmedical use of prescription type drugs, inhalants, hallucinogens, and cocaine. Results are shown for each substance by month.

From 2018 to 2019, around 3.2 percent of adolescents aged 12 to 17 years in the United States reported having an illicit drug use disorder during the past year. This statistic illustrates the percentage of adolescents in the U.S. with substance use disorders from 2018 to 2019.

This report focuses on trends between 2002 and 2011 from the National Survey on Drug Use and Health (NSDUH) in risk perception and substance use among adolescents aged 12 to 17. Adolescents evaluated whether people risk physical and other harm when they drink alcohol, use marijuana, use cocaine, use LSD, and use heroin. Results are shown by year, adolescent substance use, age group, and gender.

Find data on the nonuse of substances among adolescents aged 12 to 17 from the 2023 National Survey on Drug Use and Health (NSDUH). Estimates include illicit drugs, alcohol, tobacco products, and nicotine vaping.

This report presents data from the 2002 through 2014 National Surveys on Drug Use and Health (NSDUHs) for trends in people’s perceptions of great risk of harm associated with the use of cigarettes, alcohol, and specific illicit drugs and the perceived availability of substances. The data are presented for the population aged 12 years old or older and for specific age groups. Trends in perceived great risk of harm associated with the use of specific substances (i.e., marijuana, alcohol, and cigarettes) were compared with trends in the use of these substances in the past 30 days. The report also includes trends for measures that are specific to youths aged 12 to 17, such as perceptions about parents strongly disapproving of youth substance use. Finally, this report includes trends in the estimated numbers of individuals who initiated substance use in the past year and the average age at first use among people who initiated use in the past year (i.e., past year initiates). The report focuses on long-term trends by comparing estimates from the 2014 NSDUH with NSDUH estimates in 2002 to 2013. Statistically significant differences are noted between estimates in 2014 and those in prior years.

For those interested in data on student drug addiction in 2024, several sources offer valuable datasets and statistics.

1. Kaggle Dataset: Kaggle hosts a specific dataset on student drug addiction. This dataset includes various attributes related to student demographics, substance use patterns, and associated behavioral factors. It's a useful resource for data analysis and machine learning projects focused on understanding drug addiction among students【5†source】.

2. National Survey on Drug Use and Health (NSDUH): This comprehensive survey provides detailed annual data on substance use and mental health across the United States, including among students. It covers a wide range of substances and demographic details, helping to track trends and the need for treatment services【6†source】【8†source】.

3. Monitoring the Future (MTF) Survey: Conducted by the National Institute on Drug Abuse (NIDA), this survey tracks drug and alcohol use and attitudes among American adolescents. It provides annual updates and is an excellent source for understanding trends in substance use among high school and college students【7†source】.

4. Australian Institute of Health and Welfare (AIHW): For those interested in a more global perspective, the AIHW offers data from the National Drug Strategy Household Survey, which includes information on youth and young adult drug use in Australia. This can be useful for comparative studies【10†source】.

For detailed datasets and further analysis, you can explore these resources directly:

• Kaggle Student Drugs Addiction Dataset
• NSDUH Data
• Monitoring the Future
• AIHW Drug Survey