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. In 2023 the survey was administered online for the first time, instead of paper-based surveys as in previous years. This move online also meant that completion of the survey could be managed through teacher-led sessions, rather than being conducted by external interviewers. The 2023 survey also introduced additional questions relating to pupils wellbeing. These included how often the pupil felt lonely, felt left out and that they had no-one to talk to. Results of analysis covering these questions have been presented within parts of the report and associated data tables. The report 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 in early 2025 (see link below).

Human Trafficking Statistics: Human trafficking remains a pervasive global issue, with millions of individuals subjected to exploitation and abuse each year. According to recent statistics, an estimated 25 million people worldwide are victims of human trafficking, with the majority being women and children. This lucrative criminal industry generates profits of over $150 billion annually, making it one of the most profitable illegal trades globally. As market research analysts, it's imperative to understand the scale and impact of human trafficking to develop effective strategies for prevention and intervention. Efforts to combat human trafficking have intensified in recent years, driven by increased awareness and advocacy. However, despite these efforts, the problem persists, with trafficking networks adapting to evade law enforcement and exploit vulnerabilities in communities. Through comprehensive data analysis and research, we can uncover trends, identify high-risk areas, and develop targeted interventions to disrupt trafficking networks and support survivors. In this context, understanding human trafficking statistics is crucial for informing policy decisions, resource allocation, and collaborative efforts to combat this grave violation of human rights. Editor’s Choice Every year, approximately 4.5 billion people become victims of forced sex trafficking. Two out of three immigrants become victims of human trafficking, regardless of their international travel method. There are 5.4 victims of modern slavery for every 1000 people worldwide. An estimated 40.3 million individuals are trapped in modern-day slavery, with 24.9 million in forced labor and 15.4 million in forced marriage. Around 16.55 million reported human trafficking cases have occurred in the Asia Pacific region. Out of 40 million human trafficking victims worldwide, 25% are children. The highest proportion of forced labor trafficking cases occurs in domestic work, accounting for 30%. The illicit earnings from human trafficking amount to approximately USD 150 billion annually. The sex trafficking industry globally exceeds the size of the worldwide cocaine market. Only 0.4% of survivors of human trafficking cases are detected. Currently, there are 49.6 million people in modern slavery worldwide, with 35% being children. Sex trafficking is the most common type of trafficking in the U.S. In 2022, there were 88 million child sexual abuse material (CSAM) files reported to the National Center for Missing and Exploited Children (NCMEC) tip line. Child sex trafficking has been reported in all 50 U.S. states. Human trafficking is a USD 150 billion industry globally. It ranks as the second most profitable illegal industry in the United States. 25 million people worldwide are denied their fundamental right to freedom. 30% of global human trafficking victims are children. Women constitute 49% of all victims of global trafficking. In 2019, 62% of victims in the US were identified as sex trafficking victims. In the same year, US Department of Health and Human Services (HHS) grantees reported that 68% of clients served were victims of labor trafficking. Human traffickers in the US face a maximum statutory penalty of 20 years in prison. In France, 74% of exploited victims in 2018 were victims of sex trafficking. You May Also Like To Read Domestic Violence Statistics Sexual Assault Statistics Crime Statistics FBI Crime Statistics Referral Marketing Statistics Prison Statistics GDPR Statistics Piracy Statistics Notable Ransomware Statistics DDoS Statistics Divorce Statistics

It is estimated that alcohol contributed to around 2.6 million deaths worldwide in 2019. The major causes of alcohol-related death include alcohol poisoning, liver damage, heart failure, cancer, and car accidents. Alcohol abuse worldwide Despite the widespread use of alcohol around the world, a global survey from 2024 of people from 31 different countries found that around 16 percent of respondents stated alcohol abuse was the biggest health problem facing people in their country. The countries with the highest per capita consumption of alcohol include Romania, Georgia, and Latvia. Alcohol consumption in the United States It is estimated that over half of adults in the United States aged 21 to 49 currently use alcohol. Binge drinking (four or more drinks for women and five or more drinks for men on a single occasion) is most common among those aged 21 to 29 years, but still around 25 percent of those aged 40 to 44 report binge drinking. The states with the highest share of the population who binge drink are North Dakota, Iowa, and South Dakota. The death rate due to alcohol in the United States was around 13.5 per 100,000 population in 2022, an increase from a rate of 10.4 per 100,000 recorded in 2019.

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

According to a survey on substance use in India, over *** million people were problem users of cannabis across the country. Overall, alcohol was found to be the most common psychoactive substance used by Indians, while cannabis and opioids followed suit.

56.8% of the world’s total population is active on social media.

In this post, I'll give you all the social media addiction statistics you need to be aware of to moderate your social media use.

90% of people aged 18-29 use social media in some form. 15% of people aged 23-38 admit that they are addicted to social media.

Teenagers are the 2nd largest group of people affected by social media addiction. Teens ages 13 to 18 years old spend a significant amount of their free time on social media with an average of 3 hours a day.

As of 2024, 14.5 percent of the adult population in Spain was estimated to have used illicit drugs in the previous year, with this being the highest estimated figure in any European country. The Netherlands had the second-highest rate of illicit drug use, at around 13.7 percent. Examples of problem drug use in Europe According to the latest figures, the Netherlands and France had the highest share of their population who had used cocaine in the previous year in Europe. Around 2.7 percent of the Dutch and French population had used cocaine in the preceding twelve months, followed by Spain and Ireland, which both had over two percent of individuals using cocaine. When it comes to amphetamines, Finland had the highest prevalence of use, with 2.3 percent of their respective populations using in the last year. Drug deaths in Europe In 2021, 54 percent of men who died as a result of drug use in Europe were aged between 25 and 44 years, while 39 percent of drug deaths among women were also in this age group. Estonia was the country in Europe with the highest incidence of drug deaths, at 135 per million population.

Deaths covering Smoking only to 2019.

Abstract

Drug abuse has become multi-dimensional problem in Nepal and drug control, a challenge for the government. Lack of reliable information on size and characteristics of drug users was the bottleneck in formulating effective plans/programs and implementation as well. Considering these facts, the Central Bureau of Statistics upon the request of the Ministry of Home Affairs conducted a survey on hard drug users in Nepal in 2006/07.

The main objective of the survey was to estimate the total number of hard drug users in Nepal. The secondary objective was to generate information on the characteristics of drug users, such as: age, sex, education, age at first intake, frequency/duration of drug use, expenses made on drug etc.

Geographic coverage

National

It is assumed that hard drugs are supplied or available mostly in urban areas and so, urban areas and the vicinity are affected most. Also it is assumed that substance users from rural area, who became dependent, live and wander in urban area and vicinity. However, those who live on medical drugs only and live in rural area may have been out of the survey coverage. So, the survey covered 17 municipalities of the five development regions. Among those municipalities, rehabilitation centres were being operated in 12 municipalities. There was no rehabilitation centre found in rest of the 5 municipalities.

Analysis unit

Individual

Universe

All the drug users under treatment in any of the rehabilitation center are taken into account of this survey. Other 100 current hard drug users from each spot are also taken into account.

Kind of data

Sample survey data [ssd]

Sampling procedure

Usual survey methodology (general household/population survey) is not recommended to estimate the prevalence of hard-to-reach hidden population such as hard drug users, commercial sex workers, homeless people, etc. for some reasons. Sampling frame is not usually available and also very difficult or impossible to construct. Due to the low prevalence rate as compared to the total population, it may require larger sample size and relatively more resources. More importantly, respondents may not be willing to respond because of the sensitivity of the topic itself.

An alternative approach of estimation technique has to be used to get the most reliable picture of the real situation. For this, we have selected the Multiplier Method of indirect estimation technique.

The multiplier method has two elements in common: the benchmark and the multiplier.

The benchmark (B) is the data source that captures the number of hard drug users who are under treatment in the rehabilitation centers in the reference year. The multiplier (M) is an estimate of the proportion of current hard drug users who have experienced the event recorded by the benchmark, i.e. the proportion of such drug users who have been in treatment in the rehabilitation centers in the reference period. This information is obtained independently of the benchmark data. The inverse of that proportion is the multiplier (M), which is an indirect estimate of the proportion of the total population of the hard drug users represented in the benchmark data.

The prevalence is calculated by multiplying the benchmark by the multiplier (B x M). Hence,

N = B x M = B x (1/p)

where, N is the total number of hard drug users, p is the proportion of the hard drug users who have visited the rehabilitation centers in the reference period.

Sample size:

In each of the selected area, sample size for the interview with current hard drug users were fixed at 100 respondents. This number is derived with following assumptions:

Estimated proportion of drug users visiting rehabilitation centers = 7%

Margin of error in estimation = 5% and

Level of confidence = 95%

The total achieved sample size was 1319.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the Hard Drug Users Survey was a structured questionnaire. It includes some demographic characteristics as well as some individual characteristics like sex, age, relationship and other status.

Cleaning operations

Data editing was done at a various stages throughout the processing. That included office editing and coding, and structural checking of SPSS data files.

Response rate

100 percent

Data appraisal

Since response rate was 100 percent and non-sampling errors were manged well, no any other action taken to access reliability of the data.

Abstract

Drug abuse has become multi-dimensional problem in Nepal and drug control, a challenge for the government. Lack of reliable information on size and characteristics of drug users was the bottleneck in formulating effective plans/programs and implementation as well. Considering these facts, the Central Bureau of Statistics upon the request of the Ministry of Home Affairs conducted a survey on hard drug users in Nepal in 2006/07.

The main objective of the survey was to estimate the total number of hard drug users in Nepal. The secondary objective was to generate information on the characteristics of drug users, such as: age, sex, education, age at first intake, frequency/duration of drug use, expenses made on drug etc.

Geographic coverage

National Coverage

It is assumed that hard drugs are supplied or available mostly in urban areas and so, urban areas and the vicinity are affected most. Also it is assumed that substance users from rural area, who became dependent, live and wander in urban area and vicinity. However, those who live on medical drugs only and live in rural area may have been out of the survey coverage. So, the survey covered 17 municipalities of the five development regions. Among those municipalities, rehabilitation centres were being operated in 12 municipalities. There was no rehabilitation centre found in rest of the 5 municipalities.

Analysis unit

Individual

Universe

All the drug users under treatment in any of the rehabilitation center are taken into account of this survey. Other 100 current hard drug users from each spot are also taken into account.

Kind of data

Sample survey data [ssd]

Sampling procedure

Usual survey methodology (general household/population survey) is not recommended to estimate the prevalence of hard-to-reach hidden population such as hard drug users, commercial sex workers, homeless people, etc. for some reasons. Sampling frame is not usually available and also very difficult or impossible to construct. Due to the low prevalence rate as compared to the total population, it may require larger sample size and relatively more resources. More importantly, respondents may not be willing to respond because of the sensitivity of the topic itself.

An alternative approach of estimation technique has to be used to get the most reliable picture of the real situation. For this, we have selected the Multiplier Method of indirect estimation technique.

The multiplier method has two elements in common: the benchmark and the multiplier.

The benchmark (B) is the data source that captures the number of hard drug users who are under treatment in the rehabilitation centers in the reference year. The multiplier (M) is an estimate of the proportion of current hard drug users who have experienced the event recorded by the benchmark, i.e. the proportion of such drug users who have been in treatment in the rehabilitation centers in the reference period. This information is obtained independently of the benchmark data. The inverse of that proportion is the multiplier (M), which is an indirect estimate of the proportion of the total population of the hard drug users represented in the benchmark data.

The prevalence is calculated by multiplying the benchmark by the multiplier (B x M). Hence,

N = B x M = B x (1/p)

where, N is the total number of hard drug users, p is the proportion of the hard drug users who have visited the rehabilitation centers in the reference period.

Sample size:

In each of the selected area, sample size for the interview with current hard drug users were fixed at 100 respondents. This number is derived with following assumptions:

Estimated proportion of drug users visiting rehabilitation centers = 7%

Margin of error in estimation = 5% and

Level of confidence = 95%

The total achieved sample size was 1319.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the Hard Drug Users Survey was a structured questionnaire. It includes some demographic characteristics as well as some individual characteristics like sex, age, relationship and other status.

Cleaning operations

Data editing was done at a various stages throughout the processing. That included office editing and coding, and structural checking of SPSS data files.

Response rate

100 percent

Data appraisal

Since response rate was 100 percent and non-sampling errors were manged well, no any other action taken to access reliability of the data.

A survey conducted in Japan in December 2023 found that **** percent of men and almost ***** percent of women reported using an illegal drug in their lifetime. Marijuana emerged as the most used substance, with just over *** percent of men and almost *** percent of women having tried it. Following marijuana, inhalants, methamphetamine, and ecstasy were the most common illegal drugs consumed in Japan. Overall, gender disparities in usage patterns are notable, with the men's share of using illegal drugs mostly higher than that of women. Public perception of cannabis and youth involvement While many other countries are moving towards legalizing cannabis, Japan tightened its laws in 2023, making ownership and consumption of cannabis illegal with prison penalties of up to seven years. Public opinion remains largely skeptical of cannabis use, even for medical purposes. A July 2024 survey found that more than half of respondents did not view cannabis as a legitimate healthcare solution, while only *** percent were in favor of it. In recent years, the number of arrests for cannabis-related crimes was highest among people in their twenties, followed by teenagers. Drug crimes The total cases of reported drug-related crimes in Japan remained at around ****** per year, and gang crime-related drug arrests even saw a decline in recent years. Overall, Japan sees a low rate of drug use disorders compared to other industrialized nations. One reason may be that Japan has strict drug laws with penalties such as fines of up to *** million Japanese yen or imprisonment of up to ten years for possession, use, and sale of illegal drugs, including marijuana.

Abstract

Sierra Leone has just emerged from a ten- year civil war that significantly reduced the standard of living, and access to food for many people. The large scale destruction of most of the health and other social infrastructure that took place during the war intensified the problem of health service delivery and exacerbated poverty. A poor and undernourished population is easily susceptible to various diseases. The Civil conflict that ended in 2002 may have increased the risk for human immunodeficiency virus (HIV) transmission through the sexual abuse of teenage girls and women, drug abuse, migration, and displacement of the population. In addition, the problem of the spread of the disease is compounded by the low level of awareness and knowledge about HIV/AIDS particularly knowledge relating to its mode of transmission and methods of protection.

Recognizing the threat posed by the spread of HIV/AIDS, the government of Sierra Leone established the National HIV/AIDS Secretariat (NAS) as the main institution responsible for the development and implementation of effective strategies and programs geared towards the prevention and control of the spread of HIV/AIDS.

NAS commissioned Statistics Sierra Leone to undertake this first nationwide behavioural surveillance survey aimed at providing baseline data for use in designing behavioural change programs. The primary objective of this sentinel surveillance has been to provide national estimates on key indicators related to HIV prevention and infection for use in the development of a national database on HIV/AIDS in Sierra Leone.

The HIV/AIDS behavioural surveillance survey was carried out in 206 enumeration areas (EAs) used in the Sierra Leone Integrated Household survey (SLIHS for which comprehensive household listings existed. One locality within each selected EA was randomly selected. Using cumulative probability proportional to size sampling, fifteen and twenty households were selected for rural and urban EAs respectively. To reduce sample shortfall likely to arise due to migration, death etc. of the selected households, five replacement households were selected for both rural and urban EAs. In each selected household, one adolescent and one adult were interviewed. A total of 5374 respondents between the ages of 15-49 years were interviewed comprising 47 per cent males and 53 per cent females. In the households with more than one eligible respondent, use was made of the “Kish Selection Table” of random numbers to choose the member of the household to be interviewed. This procedure was adopted to reduce bias in the selection of respondents.

Geographic coverage

National Coverage

Analysis unit

At District Level: The units of analysis for the survey were the selected households. In each household, one Adolescent and one adult "Female" (15-49) was selected.

Universe

Selected EA's

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling for the BSS study followed the methodology used in the SLIHS (see annex).The BSS study was carried out in 206 EAS used in the SLIHS for which comprehensive household listings existed. Twenty EAs used in the SLIHS were unavailable which represented a shortfall of 8.4% of the original target sample size. The number of households interviewed in the urban and rural EAs was determined base on SLIHS methodology. Fifteen rural households and twenty urban households were targeted. One locality within each selected EA was randomly selected. The total number of persons in each of the selected EAs was added cumulatively for the entire locality and a sampling interval was fixed. Using a table of random numbers a number between one and the sampling interval was selected as starting household and subsequent households were selected by adding the fixed sampling interval. To reduce sample shortfall likely to arise due to migration, death etc. of the selected households, five replacement households were selected for both rural and urban EAs.

Sampling deviation

To minimize cost it was decided to repeat the study in the EAs used for the Sierra Leone Integrated Household Survey (SLIHS, 2003/2004). The SLIHS sample was representative of all the administrative districts, chiefdoms or wards in Sierra Leone and comprehensive and updated household listings existed for this sample of EAs. It was intended to carry out the study in all the EAs used in the SLIHS. However, the study was conducted in 206 EAs. Twenty EAs used in the SLIHS were unavailable which represented a shortfall of 8.4% of the original target sample size. The number of households interviewed in the urban and rural EAs was determined based on SLIHS methodology. Fifteen rural households and twenty urban households were targeted. One locality within each selected EA was randomly selected with probability proportional to size, using the number of listed households as size measure. The total number of households in each of the selected locality was added cumulatively for the entire locality and a sampling interval was fixed. Using a table of random numbers a number between one and the sampling interval was selected as starting household and subsequent households were selected by adding the fixed sampling interval. To reduce sample shortfall likely to arise due to migration, death etc. of the selected households, five replacement households were selected for both rural and urban EAs.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey instrument that was used was the standard questionnaire, which included standardized UNAIDS indicators and also National HIV/AIDS Secretariat indicators which covered STI/HIV knowledge, risk perception, sexual and health-seeking behaviour. However, some questions were simplified or shortened and others were adjusted to suit local circumstances. The questionnaire consisted of sections about demographic characteristics of the household, Knowledge, opinions, behaviour and attitudes regarding sexually transmitted infections (STIs) and HIV/AIDS, sexual behaviour and condom use.

Cleaning operations

Completed questionnaires were verified and coded in Freetown by a team of five coders and one supervisor. The coding team checked each questionnaire to ensure that it was properly filled out. The questionnaires were then handed over to the Data Processing Division for processing. The IMPS software program was used to enter the data, which was transferred to SPSS for analysis.

Response rate

In each selected household, one adolescent and one adult were interviewed. A total of 5374 respondents between the ages of 15-49 years were interviewed comprising 47 percent males and 53 percent females.

Sampling error estimates

The Sierra Leone General Population HIV/AIDS Behavioural Surveillance Survey 2004 sampling frame was based on the 2003/2004 Sierra Leone Integrated Household Survey (SLIHS). The sample error was estimated at 5%.

Data appraisal

Other forms of data appraisal included data verification and coding.

The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Six new indicators were introduced in the 2022-23 reporting year for patients with and without a recorded learning disability. These relate to: • Patients with an eating disorder • Patients with both an eating disorder and autism diagnosis • Patients with a diagnosis of autism who are currently treated with antidepressants More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.

This study aimed to investigate adolescent's cognitive processes and their thoughts and feelings when answering the International Society for the Prevention of Child Abuse and Neglect Child Abuse Screening Tool - ICAST-C. This study used face-to-face semi-structured cognitive interviews, employing a combination of think aloud, structured and spontaneous verbal probing, and observations. The sample in this study consisted of 53 adolescents aged 10-17 years across three contexts. Interviews were conducted with 17 participants in Romania, 20 participants in South Africa, and 16 participants in the Philippines. This study adopted a purposive sampling strategy. In addition to purposive sampling, this study employed maximum variation sampling. Maximum variation sampling is an appropriate strategy when the study aims to understand the variability of views existing in a particular group. Geographical and cultural variation, as well as variation in age, gender, and previous research exposure, were considerations in implementing this strategy. Both research-exposed (those who had answered a self-report violence measure) and research non-exposed (those who had not answered a self-report violence measure) participants were recruited. Apart from these considerations, participants were recruited on the basis of age (those aged between 10-17 years) and gender (male, female, and other gender identities).Globally, 95 million children become victims of physical, emotional and sexual child abuse every year. Child abuse has lifetime impacts including medical trauma, mental health distress, illness, school drop-out and unemployment. We know there is also a cycle of violence across generations. In other words, victims of child abuse are more likely to commit violent crime and to abuse their own children. They are also more likely to become a victim of violence again, both in childhood and in their adult relationships. Child abuse also has a hidden but massive impact on society because of illness and disability, costing an estimated 124 billion USD a year in the United States. But why do child abuse rates remain so inexplicably high? Child abuse is a complex problem that reaches across the home and community. In order to combat child abuse, we need to understand how many children are affected, where they are and who is most at risk. Then we need effective interventions to prevent and reduce child abuse. However, we know very little about either. A small number of high-income countries have social services data but these only identify the tip of the iceberg; most child abuse is never reported to services. To detect abuse within the whole population, we need to conduct surveys. That being said, the only child abuse measures available are lengthy and detailed, and they are therefore costly to carry out nationally. If a short child abuse measure existed, it could be included in larger, regularly conducted surveys (e.g. Demographic and Health Surveys or census). Interventions aim to prevent and reduce abuse, but there is currently no child abuse measure that can test whether such interventions have worked. A measure needs to be designed to detect changes in how severe and how often abusive behaviours occur. At the moment, researchers often use proxy measures for abuse, such as parenting stress. This study has two aims: (1) to develop a brief child abuse measure for the inclusion in large surveys, and (2) to test and validate a sensitive child abuse measure for use in intervention evaluation research. These will then be made available, together with a user manual, at no cost. To combat child abuse, we need strong collaborations between research and policy. I have already established strong partnerships with a number of academic institutions and international organisations in child protection. I have developed a prototype of the measure for intervention testing, and this is being used in six studies with 3800 participants in South Africa, Tanzania, the Democratic Republic of Congo and the Philippines. My collaborators will share the data, allowing me to conduct statistical analysis on how and whether the measure works. I will also conduct analyses testing whether the tool measures the same concepts across cultures. Finally, I will carry out qualitative research with key stakeholders in child protection to find the best questions for the short child abuse measure. To complement this, I will use statistical techniques on the pooled dataset to identify questions that can be used in surveys. This project can have a large impact on global child abuse prevention efforts. It will help researchers and policy-makers to measure accurately the number of children affected and determine whether interventions really work. It is an essential step in creating high quality evidence for protecting the world's children.