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

Between 2003 and 2022, women were the majority of sex trafficking victims in almost every world region. In Southern Europe, ** percent of people forced to engage in sex against their will were women. Australia and New Zealand was the only region where men constituted a larger share of sex trafficking victims, with ** percent.

In 2022, ** percent of all reported human trafficking victims were trafficked for sexual exploitation, a substantial decline compared to the ** to ** percent range reported in most years between 2008 and 2018. Since 2011, approximately ** percent of victims have consistently been trafficked for forced labor.

This research project developed and fully documented a method to estimate the number of females and males trafficked for the purposes of sexual and labor exploitation from eight countries (Colombia, Ecuador, El Salvador, Guatemala, Mexico, Nicaragua, Peru, and Venezuela) into the United States at the Southwest border. The model utilizes only open source data. This research represents the first phase of a two-phase project and Provides a conceptual framework for identifying potential data sources to estimate the number of victims at different stages in traffickingDevelops statistical models to estimate the number of males and females at risk of being trafficked for sexual and labor exploitation from the eight countries, and the number of males and females actually trafficked for sex and laborIncorporates into the estimation models the transit journey of trafficking victims from the eight countries to the southwest border of the United StatesDesigns the estimation models such that they are highly flexible and modular so that they can evolve as the body of data expands Utilizes open source data as inputs to the statistical model, making the model accessible to anyone interested in using itPresents preliminary estimates that illustrate the use of the statistical methodsIlluminates gaps in data sources. The data included in this collection are the open source data which were primarily used in the models to estimate the number of males and females at risk of being trafficked.

In 2023, a total of ***** human traffickers were convicted worldwide, an increase of approximately ***** compared to the previous year. However, the number of convictions remains lower than levels recorded prior to the COVID-19 pandemic.

This study by the Coalition Against Trafficking Women was the first to research both contemporary international and domestic trafficking of women for sexual exploitation in the United States and to include primary research information from interviews with trafficked and prostituted women in the sex industry. Telephone and personal interviews were conducted with people who had experience with or knowledge of sex trafficking in the United States. This data collection consists of the verbatim questions and responses from the following groups of individuals who were interviewed: (1) international and United States women who had been or were in the sex industry in the United States, (2) law enforcement officials who had experience and expertise in sex-industry related cases or immigration, (3) social service workers who provided services to women in prostitution or might have come into contact with women from the sex industry and those providing services to immigrant populations, and (4) health care workers who provided services to women in prostitution or who may have come into contact with women in the sex industry. The research framework was developed to follow the path of trafficked women from their hometown, through their experiences in the sex industry, to their present place in life. Information was collected on trafficked women's backgrounds, roles and activities while in the sex industry, how they were controlled, and how they coped with their situations. Respondents were also asked about experiences with recruiters, traffickers, pimps, and customers. Additional information was gathered on the respondents' views on policies regarding trafficking and prostitution, the organization of the sex industry, and health and legal aspects of the business. Questionnaires for each group of interviewees were constructed according to the topics about which each group would most likely have knowledge or experience.

In 2023, a total of ******* victims of human trafficking were identified worldwide, the highest figure recorded during the observed period and an increase of over ****** compared to the previous year. The number of identified victims has risen sharply over the past decade, reflecting a troubling global trend.

In 2023, the highest number of victims of human trafficking was found in South and Central Asia, reaching an estimated **** million victims. The second highest number of victims was found in Europe. Reporting on human trafficking varies from year to year due to the nature of the crime.

This study was conducted to explore the effects prostitution legislation has on sex trafficking rates. This issue holds paramount importance in the fields of legal studies and human rights. By leveraging advanced machine learning techniques to analyze data from the Counter-Trafficking Data Collaborative (CTDC), encompassing 180 countries, this study aims to uncover the relationship between various prostitution legislation types and sex trafficking occurrences. The exploration begins with extensive cleaning, merging, and filtering of the CTDC dataset, integrating it with prostitution legislation data from the World Population Review. This process ensures a harmonized dataset that accurately reflects the global landscape of sex trafficking in relation to legislative frameworks. The machine learning model initially concentrated on prostitution legislation as a key variable but evolved to include a broader range of factors like registration year, population, growth rate, gender, and citizenship. This expansion was crucial in developing a more accurate and holistic model.This study offered a nuanced exploration of the impact of prostitution legislation on sex trafficking, employing sophisticated data analysis and machine learning models to parse through extensive data. The advanced RandomForestClassifier was key in the research, achieving an 87% accuracy rate for predicting instances of sex trafficking and demonstrating the need to incorporate diverse predictive features. Notably, the analysis emphasized the importance of the legislative feature in accurately predicting sex trafficking, despite the inclusion of other variables to improve overall model precision. These findings underscore the significance of a multifaceted approach, considering factors like demographics and socio-economic indicators, to gain a comprehensive understanding of sex trafficking trends.Complementing the machine learning insights, a logistic regression model scrutinized the specific effects of different legislative approaches on sex trafficking. The analysis revealed that legislative frameworks such as legalization, abolitionism, decriminalization, and neo-abolitionism have a considerable influence on reducing sex trafficking rates, suggesting their potential as effective legal strategies. Alternantively, prohibition legislation is found to corrrelate with significantly higher sex trafficking rates. These results serve as a critical resource for policymakers and advocates engaged in the development of informed, evidence-based approaches to address the global challenge of sex trafficking.

What is the Counter-Trafficking Data Collaborative?

The Counter-Trafficking Data Collaborative is the first global data hub on human trafficking, publishing harmonized data from counter-trafficking organizations around the world. Launched in November 2017, the goal of CTDC is to break down information-sharing barriers and equip the counter-trafficking community with up to date, reliable data on human trafficking.

The global victim of trafficking dataset

The CTDC global victim of trafficking dataset is the largest of its kind in the world, and currently exists in two forms. The data are based on case management data, gathered from identified cases of human trafficking, disaggregated at the level of the individual. The cases are recorded in a case management system during the provision of protection and assistance services, or are logged when individuals contact a counter-trafficking hotline. The number of observations in the dataset increases as new records are added by the contributing organizations. The global victim of trafficking dataset that is available to download from the website in csv format has been mathematically anonymized, and the complete, non k-anonymized version of the dataset is displayed throughout the website through visualizations and charts showing detailed analysis.

Where do the data come from?

The data come from a variety of sources. The data featured in the global victim of trafficking dataset come from the assistance activities of the contributing organizations, including from case management services and from counter-trafficking hotline logs.

How are the global datasets created?

Each dataset has been created through a process of comparing and harmonizing existing data models of contributing partners and data classification systems. Initial areas of compatibility were identified to create a unified system for organizing and mapping data to a single standard. Each contributing organization transforms its data to this shared standard and any identifying information is removed before the datasets are made available.

How is the individual-level data protected?

Step 1

Counter-trafficking case data contains highly sensitive information, and maintaining privacy and confidentiality is of paramount importance for CTDC. For example, all explicit identifiers, such as names, were removed from the global victim dataset and some data such as age has been transformed into age ranges. No personally identifying information is transferred to or hosted by CTDC, and organizations that want to contribute are asked to anonymize in accordance to the standards set by CTDC.

Step 2

In addition to the safeguard measures outlined in step 1 the global victim dataset has been anonymized to a higher level, through a mathematical approach called k-anonymization. For a full description of k-anonymization, please refer to the definitions page.

IOM collects and processes data in accordance to its own Data Protection Policy. The other contributors adhere to relevant national and international standards through their policies for collecting and processing personal data.

How to interpret the data?

These data reflect the victims assisted/identified/referred/reported to the contributing organizations, which may not represent all victims identified within a country. Nevertheless, the larger the sample size for a given country (or, the more victims displayed on the map for a given country), the more representative the data are likely to be of the identified victim of trafficking population.

A larger number of identified victims of trafficking does not imply that there is a larger number of undetected victims of trafficking (i.e. a higher prevalence of trafficking).

In addition, samples of identified victims of trafficking cannot be considered random samples of the wider population of victims of trafficking (which includes unidentified victims), since counter-trafficking agencies may be more likely to identify some trafficking cases rather than others. However, with this caveat in mind, the profile of identified victims of trafficking tends to be considered as indicative of the profile of the wider population, given that the availability of other data sources is close to zero.

How does human trafficking case data relate to prevalence data?

There are currently no global or regional estimates of the prevalence of human trafficking. National estimates have been conducted in a few countries but they are also based on modelling of existing administrative data from identified cases and should therefore only be considered as basic baseline estimates. Historically, producing estimates of the prevalence of trafficking based on the collection of new primary data through surveys, for example, has been difficult. This is due to trafficking’s complicated legal definition and the challenges of a...

Since 2004, a higher share of the victims of trafficking are men and children. While around ***** in **** of the victims in 2004 were women, the share had fallen to less than ** percent in 2022. By comparison, the share of victims who were men had increased by *** percentage points. Moreover, ** percent of the trafficking victims were children.

East Asia and the Pacific saw the highest number of convictions related to human trafficking in 2023, just ahead of Europe, reaching *****. Meanwhile, South and Central Asia saw the highest number of victims identified that year.

Series Name: Detected victims of human trafficking for forced labour servitude and slavery by age and sex (number)Series Code: VC_HTF_DETVFLRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.2.2: Number of victims of human trafficking per 100,000 population, by sex, age and form of exploitationTarget 16.2: End abuse, exploitation, trafficking and all forms of violence against and torture of childrenGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Financial overview and grant giving statistics of Fight Fight Injustice and Global Human Trafficking Inc.

An estimated 30 million people are subject to modernday slavery, including forced labor and sexual exploitation. Moreover, the trafficking of human beings is one of the fastest growing transnational criminal activities. Not only is it an abuse of the human rights of the victims involved, but it also incurs social, political, and economic costs for the countries it most impacts. Providing first an overview of the global phenomenon of modern-day slavery, this paper proceeds to study the Greater Mekong Subregion for whose states human trafficking represents a serious challengeone which requires a well-coordinated response to, among other measures, scrutinize labor contracts in risk economic sectors, enhance interstate cooperation, and more effectively identify and prosecute human traffickers.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study was a process evaluation of three programs funded by the U.S. Department of Justice (DOJ) Office for Victims of Crime (OVC) to identify and provide services to victims of sex and labor trafficking who are U.S citizens and lawful permanent residents (LPR) under the age of 18. The three programs evaluated in this study were: The Standing Against Global Exploitation Everywhere (SAGE) Project The Salvation Army Trafficking Outreach Program and Intervention Techniques (STOP-IT) program The Streetwork Project at Safe Horizon The goals of the evaluation were to document program implementation in the three programs, identify promising practices for service delivery programs, and inform delivery of current and future efforts by the programs to serve this population. The evaluation examined young people served by the programs, their service needs and services delivered by the programs, the experiences of young people and staff with the programs, and programs' efforts to strengthen community response to trafficked youth.

Series Name: Detected victims of human trafficking for other purposes by age and sex (number)Series Code: VC_HTF_DETVOPRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.2.2: Number of victims of human trafficking per 100,000 population, by sex, age and form of exploitationTarget 16.2: End abuse, exploitation, trafficking and all forms of violence against and torture of childrenGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Series Name: Detected victims of human trafficking for removal of organ by age and sex (number)Series Code: VC_HTF_DETVOGRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.2.2: Number of victims of human trafficking per 100,000 population, by sex, age and form of exploitationTarget 16.2: End abuse, exploitation, trafficking and all forms of violence against and torture of childrenGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

In Part I of this Article, Renshaw explains some of the current theories about how and why states come to adopt human rights norms and then translates these norms into laws and policies. In Part II, she sets out the contours of the TVPA- Trafficking Victims Protection Act and the global regime with which it coexists, the United Nations Palermo Protocol. Part III considers how ASEAN States have responded to the global anti-trafficking regime. Part IV explores how ASEAN states perceive the issue of human trafficking. Part V describes how ASEAN states have responded to the threat of sanctions under the TVPA. Part VI examines the emergence of a regional framework to address human trafficking. This Article concludes that unilateral measures implemented under the TVPA disrupt regional processes and retard the internalization of human rights norms about trafficking in persons.

The past few decades have seen the proliferation of new laws criminalizing certain transnational activities, from money laundering to corruption; from insider trading to trafficking in weapons and drugs. Human trafficking is one example. We argue criminalization of trafficking in persons has diffused in large part because of the way the issue has been framed: primarily as a problem of organized crime rather than predominantly an egregious human rights abuse. Framing human trafficking as an organized crime practice empowers states to confront cross border human movements viewed as potentially threatening. We show that the diffusion of criminalization is explained by road networks that reflect potential vulnerabilities to the diversion of transnational crime. We interpret our results as evidence of the importance of context and issue framing, which in turn affects perceptions of vulnerability to neighbors’ policy choices. In doing so, we unify diffusion studies of liberalization with the spread of prohibition regimes to explain the globalization of aspects of criminal law.