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).

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

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).

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)

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.

Statistical data on children living with parents who have substance use disorders, sourced from SAMHSA reports

In France, in 2024, the most frequent contexts and places of consumption of alcohol were at home (** percent) or in shared flats (** percent). Illegal substances (cannabis or cocaine) were quite frequently consumed in student dorms. Compared to other locations, parents' places were the least popular or likely location of substance use.

Smoking, Drinking and Drugs Use among Young People in England is an annual survey carried out in participating schools across England to provide information on pupils' smoking, drinking and drug use behaviours. The survey focuses on different behaviours in different years, alternating between smoking and drinking one year, to drug use the next. Source agency: Health and Social Care Information Centre Designation: National Statistics Language: English Alternative title: Smoking, drinking and drug use among young people in England

This statistic displays the number of occasions school children have ever taken drugs in England, in 2023, by age. In this year, 17.4 percent of 15 year old school pupils reported they taken drugs on more than one occasions.

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! 🌟

The Smoking, Drinking and Drug Use among Young People surveys began in 1982, under the name Smoking among Secondary Schoolchildren. The series initially aimed to provide national estimates of the proportion of secondary schoolchildren aged 11-15 who smoked, and to describe their smoking behaviour. Similar surveys were carried out every two years until 1998 to monitor trends in the prevalence of cigarette smoking. The survey then moved to an annual cycle, and questions on alcohol consumption and drug use were included. The name of the series changed to Smoking, Drinking and Drug Use among Young Teenagers to reflect this widened focus. In 2000, the series title changed, to Smoking, Drinking and Drug Use among Young People. NHS Digital (formerly the Information Centre for Health and Social Care) took over from the Department of Health as sponsors and publishers of the survey series from 2005. From 2014 onwards, the series changed to a biennial one, with no survey taking place in 2015, 2017 or 2019.

In some years, the surveys have been carried out in Scotland and Wales as well as England, to provide separate national estimates for these countries. In 2002, following a review of Scotland's future information needs in relation to drug misuse among schoolchildren, a separate Scottish series, Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS) was established by the Scottish Executive.

The survey uses a two-stage probability sample of schools and pupils, designed to be representative of young people aged between 11 and 15. The sample of schools is stratified by sex of intake and school type. Within these strata, the sampling frame is sorted by local authority. This design does not guarantee a representative sample of schools within all regions and so reliable estimates by region cannot currently be derived from any one year’s data.

This dataset contains regional information as well as key survey variables from the three most recent survey years, 2006 to 2008, combined and weighted to be regionally representative.

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 2012 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. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.

The Pittsburgh Youth Study (PYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. PYS aims to document the development of antisocial and delinquent behavior from childhood to early adulthood, the risk factors that impinge on that development, and help seeking and service provision of boys' behavior problems. The study also focuses on boys' development of alcohol and drug use, and internalizing problems. PYS consists of three samples of boys who were in the first, fourth, and seventh grades in Pittsburgh, Pennsylvania public schools during the 1987-1988 academic year (called the youngest, middle, and oldest sample, respectively). Using a screening risk score that measured each boy's antisocial behavior, boys identified at the top 30 percent within each grade sample on the screening risk measure (n=~250), as well as an equal number of boys randomly selected from the remainder (n=~250), were selected for follow-up. Consequently, the final sample for the study consisted of 1,517 total students selected for follow-up. 506 of these students were in the oldest sample, 508 were in the middle sample, and 503 were in the youngest sample. Assessments were conducted semiannually and then annually using multiple informants (i.e., boys, parents, teachers) between 1987 and 2010. The youngest sample was assessed from ages 6-19 and again at ages 25 and 28. The middle sample was assessed from ages 9-13 and again at age 23. The oldest sample was assessed from ages 13-25, with an additional assessment at age 35. Information has been collected on a broad range of risk and protective factors across multiple domains (e.g., individual, family, peer, school, neighborhood). Measures of conduct problems, substance use/abuse, criminal behavior, mental health problems have been collected. This collection contains data and syntax files for drug constructs. The datasets include constructs on the use and frequency of use of marijuana, alcohol, cigarettes, and hard drugs. The drug constructs were created by using the PYS raw data. The raw data are available at ICPSR in the following studies: Pittsburgh Youth Study Youngest Sample (1987 - 2001) [Pittsburgh, Pennsylvania], Pittsburgh Youth Study Middle Sample (1987 - 1991) [Pittsburgh, Pennsylvania] , and Pittsburgh Youth Study Oldest Sample (1987 - 2000) [Pittsburgh, Pennsylvania].

The Smoking, Drinking and Drug Use among Young People surveys began in 1982, under the name Smoking among Secondary Schoolchildren. The series initially aimed to provide national estimates of the proportion of secondary schoolchildren aged 11-15 who smoked, and to describe their smoking behaviour. Similar surveys were carried out every two years until 1998 to monitor trends in the prevalence of cigarette smoking. The survey then moved to an annual cycle, and questions on alcohol consumption and drug use were included. The name of the series changed to Smoking, Drinking and Drug Use among Young Teenagers to reflect this widened focus. In 2000, the series title changed, to Smoking, Drinking and Drug Use among Young People. NHS Digital (formerly the Information Centre for Health and Social Care) took over from the Department of Health as sponsors and publishers of the survey series from 2005. From 2014 onwards, the series changed to a biennial one, with no survey taking place in 2015, 2017 or 2019.

In some years, the surveys have been carried out in Scotland and Wales as well as England, to provide separate national estimates for these countries. In 2002, following a review of Scotland's future information needs in relation to drug misuse among schoolchildren, a separate Scottish series, Scottish Schools Adolescent Lifestyle and Substance Use Survey (SALSUS) was established by the Scottish Executive.

The 2023 Smoking, Drinking and Drug Use among Young People survey is the first in this series to be carried out using electronic data collection within the classroom setting, rather than paper and pencil.

The methods for constructing each derived variable are available in the Smoking, Drinking and Drug Use GitHub code repository (file derivations.py).

Young Swiss Men and Substance Use Disorders

Examining Associations with Mental Health and Co-Occurring Addictions

By [source]

About this dataset

This dataset contains invaluable data from the C-SURF study on the associations between alcohol use disorder and mental health problems, as well as co-occurring addictions, among young Swiss men. This dataset can be used to understand how alcohol and drug use, mental health issues, and co-occurring addictions are interrelated in this population. Researchers can also use this valuable data to investigate the long-term effects of substance abuse and addiction in terms of their implications on health. This dataset provides a comprehensive insight into current substance abuse trends and mental health issues among young Swiss men that could prove beneficial for all related studies

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How to use the dataset

This dataset contains data from the C-SURF study and examines the associations between self-reported alcohol use disorder and mental health problems, in the context of co-occurring addictions, among young Swiss men. By using this dataset, researchers can gain insight into alcohol and drug use, mental health problems and co-occurring addictions among young Swiss men.

In order to make effective use of this dataset, it is important for you to understand how the data is structured and organized. The three main columns are Studer, Lemoine, and Grazioli indicating which manuscript each item relates to. These columns contain information about each individual’s demographics (e.g., age), their usage patterns (e.g., frequency of substance abuse) as well as their mental health status (e.g., diagnosis). To gain insights from this dataset you should focus on evaluating relationships between different variables such as age or gender with substance abuse or addiction disorders for example; looking at differences in prevalence across particular demographic groups or analyzing relationships between certain factors associated with long term effects on health outcomes such as depression or anxiety disorders.

Research Ideas

• Utilizing the data from this set to create an application that reminds young Swiss men of the potential harms from substance use and provides safe ways for them to cope with stressors.
• Using this dataset to research how socioeconomic factors and access to treatment options can influence alcohol and drug addiction among young Swiss men.
• Examining how mental health affects how people perceive their dependence on substances and identify healthier pathways for managing stressors in order to prevent abuse in the first place

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Marmet2019PLosOne_Data.csv

File: Marmet2019PLosOne_codebook.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

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.