In 2022, a total of 5,600 human traffickers were convicted worldwide. This is a small increase of around 300 convictions from the year before. Still, the level of convictions is much lower than in the years before COVID-19.

Between 2003 and 2022, women were the majority of sex trafficking victims in almost every world region. In Southern Europe, 88 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 91 percent.

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 examined life histories and experiences of individuals involved in the sex trade in New York City. Also interviewed were twenty-eight criminal justice policymakers, practitioners, and community representatives affiliated with New York City's Human Trafficking Intervention Courts (HTICs). The collection contains 1 SPSS data file (Final-Quantitative-Data-resubmission.sav (n=304; 218 variables)). Demographic variables include gender, age, race, ethnicity, education level, citizenship status, current housing, family size, sexual orientation, and respondent's place of birth.

In 2023, a total of 729 cases of human trafficking were reported across Mexico, 73 cases less than a year earlier. With a total of 1,195 cases of human trafficking, 2015 was the year with the largest number of cases in the period under scrutiny.

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.

In 2022, the number of human trafficking cases per million population in India was 1.63. It was an increase compared to the values recorded a year before. In the last few years, the occurrence of this severe offense went down significantly.

The MATCHED dataset is a novel multimodal collection of escort advertisements curated to support research in Authorship Attribution (AA) and related tasks. It comprises 27,619 unique text descriptions and 55,115 images (in jpg format) sourced from Backpage escort ads across seven major U.S. cities–Atlanta, Dallas, Detroit, Houston, Chicago, San Fransisco, and New York. These cities are further categorized into four geographical regions—South, Midwest, West, and Northeast—offering a structured dataset that enables both in-distribution and out-of-distribution (OOD) evaluations. Each ad in the dataset contains metadata that links text and visual components, providing a rich resource for studying multimodal patterns, vendor identification, and verification tasks. The dataset is uniquely suited for multimodal authorship attribution, vendor linking, stylometric analysis, and understanding the interplay between textual and visual patterns in advertisements. All text descriptions are carefully processed to redact any explicit references to phone numbers, email addresses, advertisement IDs, age-related information, or other contact details that could be used to identify individuals or vendors. The structured metadata allows researchers to explore how multimodal features contribute to uncovering latent patterns in stylometry and vendor behaviors. A demi-data file showcasing the format and structure of our MATCHED dataset is attached with the entry. Given the sensitivity of the subject matter, the actual dataset resides securely on Maastricht University's servers. Only the metadata will be publicly released on Dataverse to ensure ethical use. Researchers interested in accessing the full dataset must sign a Non-Disclosure Agreement (NDA) and a Data Transfer Agreement with Prof. Dr. Gijs Van Dijck from Maastricht University. Access will only be granted under strict restrictions, and recipients must adhere to the ethical guidelines established by the university's committee. These guidelines emphasize the responsible use of the dataset to prevent misuse and to safeguard the privacy and dignity of all individuals involved.

The set contains a directory of phones "hotlines" for people affected by human trafficking

South Africa's ongoing struggle with human trafficking remains evident as the country maintains its position on the tier two level watch list for the third consecutive year in 2023.  The country has been reported as a hub for human trafficking as it is not only a host for human trafficking, but also facilitates sourcing victims and transferring them to other countries. South African Police Services (SAPS) have discovered that some human trafficking cases are related to the 17,061 kidnappings , particularly in the provinces of Gauteng and KwaZulu-Natal. Additionally, SAPS have identified a possible link between human trafficking and missing persons in the country, however, further investigation is required.
Regional context and victim demographics Over the years, human trafficking has evolved into a broader regional concern. Girls and women are overly affected by human trafficking in Sub-Saharan Africa, accounting for 34 percent and 28 percent of detected victims respectively as of 2020. This trend extends to Southern Africa, where 61 percent of sex-trafficking victims between 2003 and 2023 were women and 23 percent of victims aged 30–38 years, which accentuates the gendered nature of human trafficking in the region. Traffickers primarily target those from disadvantaged backgrounds and often lure unsuspecting victims through fake job advertisements for domestic work, mining, hospitality, and modeling. Continental perspective and neighboring nations Within the African continent, the severity of human trafficking varies significantly. Modern-day slavery is particularly rife in Nigeria, with an estimated 1.6 million people living as modern slaves. Human trafficking often leads to modern-day slavery as individuals are exploited and unable to leave due to threats, coercion or violence. In East Africa, Eritrea stands out as the only country in the region classified as tier three, indicating the most severe level of human trafficking concerns. The prevalence of child sex trafficking in East Africa is particularly alarming, with 31 percent of sex-trafficking victims being minors. This continental overview highlights the complex and widespread nature of human trafficking across Africa, emphasizing the need for coordinated governmental efforts to address this critical issue.

This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.

This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.

The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.

How does this dataset classify victims?

The methodology by which this dataset classifies victims of violent crime differs by victimization type:

Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.

To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.

For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:

1. In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a first-degree murder (IUCR code = 0110) or a second-degree murder (IUCR code = 0130).
2. When a non-fatal shooting victimization does not correspond to an IUCR code that signifies a criminal sexual assault, robbery, or aggravated battery, we enter “UNK” in the IUCR column, “YES” in the GUNSHOT_I column, and “NON-FATAL” in the PRIMARY column to indicate that the victim was non-fatally shot, but the precise IUCR code is unknown.

Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:

1. When there is an incident that is associated with no victim with a matching IUCR code, we assume that this is an error. Every crime should have at least 1 victim with a matching IUCR code. In these cases, we change the IUCR code to reflect the incident IUCR code because CPD's incident table is considered to be more reliable than the victim table.

Note: All businesses identified as victims in CPD data have been removed from this dataset.

Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.”

Note: In some instances, the police department's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most recent crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).

Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

Three crime data sources were collected and merged for this study. All three crime sources were either only reporting on the U.S. state of Kentucky (KOOL and Louisville Open Data), or filtered to only contain results for the U.S. state of Kentucky (FBI). Each data source contains unique features such as crime classifications, and unique challenges in collection and cleaning.

The United States Federal Bureau of Investigation (FBI) issues a variety of query-able crime related data on their website. This data is sourced from law enforcement agencies across the U.S. as part of their National Incident-Based Reporting System (NIBRS) and its standards. The goal of gathering, standardizing, and providing this information is to facilitate research into crime and law enforcement patterns. The information is provided as a collection of CSV files with instructions and code for importing into a SQL database. For the purposes of this research, we utilized the the crime databases for the years 2017, 2018 and 2019, containing a total of 1,939,990 unique incidents. The NIBRS_code property denotes the type of crime as assigned by the reporting agency. The human trafficking codes are 40A (Prostitution), 40B (Assisting or Promoting Prostitution), and 370 (Pornography/Obscene Material). The drug incidents were found using codes 35A (Drug/Narcotic Violations) and 35B (Drug Equipment Violations).

The Kentucky Department of Corrections, as a service to the public, provides an online lookup of people currently in its custody called Kentucky Offender Online Lookup (KOOL). This web application offers users tools to search for sets of inmates based on features such as name, crime date, crime name, race, and gender. The data that KOOL searches contains only people who are currently under supervision of the state of Kentucky (or should be under supervision in the case of escape).

The Louisville Open Data Initiative (LOD) is a program from the city of Louisville, Kentucky, U.S.A. to increase the transparency of the city government and promote technological innovation. As part of LOD, a dataset of crime reports is made available online. The records contained within the LOD dataset represent any call for police service where a police incident report was generated. This does not necessarily mean a crime was committed, as an incident report can be generated before an investigation has taken place.

Worldwide, India was the country with the highest number of people living in modern slavery, either as forced laborers, sexual exploitation, forced marriages or other forms of coercion. An estimated 11 million people were living in modern slavery in India, followed by 5.8 million in China. This may come as no surprise as these are the two most populous countries worldwide. North Korea was the country with the highest number of people in modern slavery per 1,000 inhabitants.

The Ukraine Demographic and Health Survey (UDHS) is a nationally representative survey of 6,841 women age 15-49 and 3,178 men age 15-49. Survey fieldwork was conducted during the period July through November 2007. The UDHS was conducted by the Ukrainian Center for Social Reforms in close collaboration with the State Statistical Committee of Ukraine. The MEASURE DHS Project provided technical support for the survey. The U.S. Agency for International Development/Kyiv Regional Mission to Ukraine, Moldova, and Belarus provided funding. The survey is a nationally representative sample survey designed to provide information on population and health issues in Ukraine. The primary goal of the survey was to develop a single integrated set of demographic and health data for the population of the Ukraine. The UDHS was conducted from July to November 2007 by the Ukrainian Center for Social Reforms (UCSR) in close collaboration with the State Statistical Committee (SSC) of Ukraine, which provided organizational and methodological support. Macro International Inc. provided technical assistance for the survey through the MEASURE DHS project. USAID/Kyiv Regional Mission to Ukraine, Moldova and Belarus provided funding for the survey through the MEASURE DHS project. MEASURE DHS is sponsored by the United States Agency for International Development (USAID) to assist countries worldwide in obtaining information on key population and health indicators. The 2007 UDHS collected national- and regional-level data on fertility and contraceptive use, maternal health, adult health and life style, infant and child mortality, tuberculosis, and HIV/AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well. The results of the 2007 UDHS are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of Ukrainians and health services for the people of Ukraine. The 2007 UDHS also contributes to the growing international database on demographic and health-related variables. MAIN RESULTS Fertility rates. A useful index of the level of fertility is the total fertility rate (TFR), which indicates the number of children a woman would have if she passed through the childbearing ages at the current age-specific fertility rates (ASFR). The TFR, estimated for the three-year period preceding the survey, is 1.2 children per woman. This is below replacement level. Contraception : Knowledge and ever use. Knowledge of contraception is widespread in Ukraine. Among married women, knowledge of at least one method is universal (99 percent). On average, married women reported knowledge of seven methods of contraception. Eighty-nine percent of married women have used a method of contraception at some time. Abortion rates. The use of abortion can be measured by the total abortion rate (TAR), which indicates the number of abortions a woman would have in her lifetime if she passed through her childbearing years at the current age-specific abortion rates. The UDHS estimate of the TAR indicates that a woman in Ukraine will have an average of 0.4 abortions during her lifetime. This rate is considerably lower than the comparable rate in the 1999 Ukraine Reproductive Health Survey (URHS) of 1.6. Despite this decline, among pregnancies ending in the three years preceding the survey, one in four pregnancies (25 percent) ended in an induced abortion. Antenatal care. Ukraine has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. Overall, the levels of antenatal care and delivery assistance are high. Virtually all mothers receive antenatal care from professional health providers (doctors, nurses, and midwives) with negligible differences between urban and rural areas. Seventy-five percent of pregnant women have six or more antenatal care visits; 27 percent have 15 or more ANC visits. The percentage is slightly higher in rural areas than in urban areas (78 percent compared with 73 percent). However, a smaller proportion of rural women than urban women have 15 or more antenatal care visits (23 percent and 29 percent, respectively). HIV/AIDS and other sexually transmitted infections : The currently low level of HIV infection in Ukraine provides a unique window of opportunity for early targeted interventions to prevent further spread of the disease. However, the increases in the cumulative incidence of HIV infection suggest that this window of opportunity is rapidly closing. Adult Health : The major causes of death in Ukraine are similar to those in industrialized countries (cardiovascular diseases, cancer, and accidents), but there is also a rising incidence of certain infectious diseases, such as multidrug-resistant tuberculosis. Women's status : Sixty-four percent of married women make decisions on their own about their own health care, 33 percent decide jointly with their husband/partner, and 1 percent say that their husband or someone else is the primary decisionmaker about the woman's own health care. Domestic Violence : Overall, 17 percent of women age 15-49 experienced some type of physical violence between age 15 and the time of the survey. Nine percent of all women experienced at least one episode of violence in the 12 months preceding the survey. One percent of the women said they had often been subjected to violent physical acts during the past year. Overall, the data indicate that husbands are the main perpetrators of physical violence against women. Human Trafficking : The UDHS collected information on respondents' awareness of human trafficking in Ukraine and, if applicable, knowledge about any household members who had been the victim of human trafficking during the three years preceding the survey. More than half (52 percent) of respondents to the household questionnaire reported that they had heard of a person experiencing this problem and 10 percent reported that they knew personally someone who had experienced human trafficking.

Goal 16Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsTarget 16.1: Significantly reduce all forms of violence and related death rates everywhereIndicator 16.1.1: Number of victims of intentional homicide per 100,000 population, by sex and ageVC_IHR_PSRC: Number of victims of intentional homicide per 100,000 population, by sex (victims per 100,000 population)VC_IHR_PSRCN: Number of victims of intentional homicide, by sex (number)Indicator 16.1.2: Conflict-related deaths per 100,000 population, by sex, age and causeVC_DTH_TOCV: Number of conflict-related deaths (civilians) per 100,000 population (Per 100,000 population)VC_DTH_TOCVN: Number of conflict-related deaths (civilians), by sex, age and cause of death (Number)VC_DTH_TOCVR: Conflict-related death rate (civilians), by sex, age and cause of death (%)Indicator 16.1.3: Proportion of population subjected to (a) physical violence, (b) psychological violence and (c) sexual violence in the previous 12 monthsVC_VOV_PHYL: Proportion of population subjected to physical violence in the previous 12 months, by sex (%)VC_VOV_ROBB: Proportion of population subjected to robbery in the previous 12 months, by sex (%)VC_VOV_SEXL: Proportion of population subjected to sexual violence in the previous 12 months, by sex (%)Indicator 16.1.4: Proportion of population that feel safe walking alone around the area they liveVC_SNS_WALN: Proportion of population that feel safe walking alone around the area they live (%)Target 16.2: End abuse, exploitation, trafficking and all forms of violence against and torture of childrenIndicator 16.2.1: Proportion of children aged 1–17 years who experienced any physical punishment and/or psychological aggression by caregivers in the past monthVC_VAW_PHYPYV: Proportion of children aged 1-14 years who experienced physical punishment and/or psychological aggression by caregivers in last month (% of children aged 1-14 years)Indicator 16.2.2: Number of victims of human trafficking per 100,000 population, by sex, age and form of exploitationVC_HTF_DETVFL: Detected victims of human trafficking for forced labour, servitude and slavery, by age and sex (number)VC_HTF_DETVOP: Detected victims of human trafficking for other purposes, by age and sex (number)VC_HTF_DETVOG: Detected victims of human trafficking for removal of organ, by age and sex (number)VC_HTF_DETVSX: Detected victims of human trafficking for sexual exploitaton, by age and sex (number)VC_HTF_DETV: Detected victims of human trafficking, by age and sex (number)Indicator 16.2.3: Proportion of young women and men aged 18–29 years who experienced sexual violence by age 18VC_VAW_SXVLN: Proportion of population aged 18-29 years who experienced sexual violence by age 18, by sex (% of population aged 18-29)Target 16.3: Promote the rule of law at the national and international levels and ensure equal access to justice for allIndicator 16.3.1: Proportion of victims of violence in the previous 12 months who reported their victimization to competent authorities or other officially recognized conflict resolution mechanismsVC_PRR_PHYV: Police reporting rate for physical assault, by sex (%)VC_PRR_SEXV: Police reporting rate for sexual assault, by sex (%)VC_PRR_ROBB: Police reporting rate for robbery, by sex (%)Indicator 16.3.2: Unsentenced detainees as a proportion of overall prison populationVC_PRS_UNSNT: Unsentenced detainees as a proportion of overall prison population (%)Indicator 16.3.3: Proportion of the population who have experienced a dispute in the past two years and who accessed a formal or informal dispute resolution mechanism, by type of mechanismTarget 16.4: By 2030, significantly reduce illicit financial and arms flows, strengthen the recovery and return of stolen assets and combat all forms of organized crimeIndicator 16.4.1: Total value of inward and outward illicit financial flows (in current United States dollars)Indicator 16.4.2: Proportion of seized, found or surrendered arms whose illicit origin or context has been traced or established by a competent authority in line with international instrumentsVC_ARM_SZTRACE: Proportion of seized, found or surrendered arms whose illicit origin or context has been traced or established by a competent authority in line with international instrumentsTarget 16.5: Substantially reduce corruption and bribery in all their formsIndicator 16.5.1: Proportion of persons who had at least one contact with a public official and who paid a bribe to a public official, or were asked for a bribe by those public officials, during the previous 12 monthsIU_COR_BRIB: Prevalence rate of bribery, by sex (%)Indicator 16.5.2: Proportion of businesses that had at least one contact with a public official and that paid a bribe to a public official, or were asked for a bribe by those public officials during the previous 12 monthsIC_FRM_BRIB: Bribery incidence (% of firms experiencing at least one bribe payment request)Target 16.6: Develop effective, accountable and transparent institutions at all levelsIndicator 16.6.1: Primary government expenditures as a proportion of original approved budget, by sector (or by budget codes or similar)GF_XPD_GBPC: Primary government expenditures as a proportion of original approved budget (%)Indicator 16.6.2: Proportion of population satisfied with their last experience of public servicesTarget 16.7: Ensure responsive, inclusive, participatory and representative decision-making at all levelsIndicator 16.7.1: Proportions of positions in national and local institutions, including (a) the legislatures; (b) the public service; and (c) the judiciary, compared to national distributions, by sex, age, persons with disabilities and population groupsSG_DMK_PARLCC_JC: Number of chairs of permanent committees, by age sex and focus of the committee, Joint CommitteesSG_DMK_PARLMP_LC: Ratio for female members of parliaments (Ratio of the proportion of women in parliament in the proportion of women in the national population with the age of eligibility as a lower bound boundary), Lower Chamber or UnicameralSG_DMK_PARLSP_LC: Number of speakers in parliament, by age and sex , Lower Chamber or UnicameralSG_DMK_PARLCC_LC: Number of chairs of permanent committees, by age sex and focus of the committee, Lower Chamber or UnicameralSG_DMK_PARLMP_UC: Ratio for female members of parliaments (Ratio of the proportion of women in parliament in the proportion of women in the national population with the age of eligibility as a lower bound boundary), Upper ChamberSG_DMK_PARLSP_UC: Number of speakers in parliament, by age and sex, Upper ChamberSG_DMK_PARLCC_UC: Number of chairs of permanent committees, by age sex and focus of the committee, Upper ChamberSG_DMK_PARLYR_LC: Ratio of young members in parliament (Ratio of the proportion of young members in parliament (age 45 or below) in the proportion of the national population (age 45 or below) with the age of eligibility as a lower bound boundary), Lower Chamber or UnicameralSG_DMK_PARLYP_LC: Proportion of youth in parliament (age 45 or below), Lower Chamber or Unicameral (%)SG_DMK_PARLYN_LC: Number of youth in parliament (age 45 or below), Lower Chamber or Unicameral (Number)SG_DMK_PARLYR_UC: Ratio of young members in parliament (Ratio of the proportion of young members in parliament (age 45 or below) in the proportion of the national population (age 45 or below) with the age of eligibility as a lower bound boundary), Upper ChamberSG_DMK_PARLYP_UC: Proportion of youth in parliament (age 45 or below), Upper Chamber (%)SG_DMK_PARLYN_UC: Number of youth in parliament (age 45 or below), Upper Chamber (Number)Indicator 16.7.2: Proportion of population who believe decision-making is inclusive and responsive, by sex, age, disability and population groupTarget 16.8: Broaden and strengthen the participation of developing countries in the institutions of global governanceIndicator 16.8.1: Proportion of members and voting rights of developing countries in international organizationsSG_INT_MBRDEV: Proportion of members of developing countries in international organizations, by organization (%)SG_INT_VRTDEV: Proportion of voting rights of developing countries in international organizations, by organization (%)Target 16.9: By 2030, provide legal identity for all, including birth registrationIndicator 16.9.1: Proportion of children under 5 years of age whose births have been registered with a civil authority, by ageSG_REG_BRTH: Proportion of children under 5 years of age whose births have been registered with a civil authority (% of children under 5 years of age)Target 16.10: Ensure public access to information and protect fundamental freedoms, in accordance with national legislation and international agreementsIndicator 16.10.1: Number of verified cases of killing, kidnapping, enforced disappearance, arbitrary detention and torture of journalists, associated media personnel, trade unionists and human rights advocates in the previous 12 monthsVC_VAW_MTUHRA: Number of cases of killings of human rights defenders, journalists and trade unionistsVC_VOC_ENFDIS: Number of cases of enforced disappearance of human rights defenders, journalists and trade unionists (Number)Indicator 16.10.2: Number of countries that adopt and implement constitutional, statutory and/or policy guarantees for public access to informationSG_INF_ACCSS: Countries that adopt and implement constitutional, statutory and/or policy guarantees for public access to informationTarget 16.a: Strengthen relevant national institutions, including through international cooperation, for building capacity at all levels, in particular in developing countries, to prevent violence and combat terrorism and crimeIndicator 16.a.1: Existence of independent national human rights institutions in compliance with the Paris PrinciplesSG_NHR_IMPL: Proportion of

A “runaway slave record,” or as it is officially titled, “Runaway and Escaped Slaves Records, 1794, 1806-1863,” include accounts, correspondence, receipts, and reports concerning expenses incurred by localities related to the capture of enslaved people attempting to escape bondage to pursue freedom. The collection also includes records with information related to enslaved people from multiple localities who escaped to United States military forces during the Civil War. While many independent businesses bought and sold human beings, local and state governments such as the state of Virginia also participated in and profited from human trafficking. Localities were reimbursed for the expenses of confining, feeding, and selling of self-emancipated people, and likewise, the state established procedures to compensate enslavers for their financial loss when enslaved people ran away or were imprisoned or executed. If a person was captured and their enslaver could not be identified, they became the property of the state and were sold. The proceeds from these sales went to the state treasury, and often, records of those sales can be found in the Public Claims records from the Auditor of Public Accounts. The net proceeds were deposited into the Commonwealth of Virginia’s Literary Fund for the public education of poor white children.

The data in this collection is drawn directly from the historical documents and may contain language that is now deemed offensive.

Mexico has seen a significant influx of individuals and groups engaged in human mobility, often using similar routes and means of transport for a variety of reasons. This diverse population includes asylum seekers, refugees, victims of human trafficking, unaccompanied and separated children, stateless persons, and migrants in vulnerable situations. To better understand these dynamics, a protection monitoring initiative was conducted to identify trends, demographic profiles, and the protection and food security needs of people on the move. The collected data focused on the drivers of human mobility, the characteristics of individuals in transit, the risks encountered during their journeys, conditions in transit countries, as well as food security, child protection, and future movement intentions.

The Americas have experienced a significant number of mixed movements, in which individuals and groups engage in human mobility using similar routes and means of transport for various reasons. The diverse population includes asylum-seekers, refugees, victims of human trafficking, unaccompanied and separated children, stateless persons, and migrants in vulnerable situations, among others. To understand these dynamics, UNHCR and WFP launched a regional monitoring project in 2023, aiming to identify trends, profiles, and protection and food security needs of those on the move. Since the second quarter of 2024, UNICEF joined the project, contributing to data collection and analysis, particularly on child-related indicators around nutrition, health, education, primary needs, and humanitarian assistance received. Accurate data is crucial for informing evidence-based decision-making about responses, discussions in UN forums, and regional collaboration. The data collected focused on the drivers of human mobility, profiles of individuals on the move, risks encountered along the journey, conditions in transit countries, food security, child protection, and intentions. The insights gathered helped to effectively shape policies and enhance humanitarian efforts. Mixed Movement Monitoring reports can be found at this link: https://data.unhcr.org/en/working-group/475

The dataset contains annual count data for the number of family-related domestic incident reports, family-related felony assaults, domestic violence related felony assaults, family-related rapes and domestic violence related rapes. The Mayor's Office to End Domestic and Gender-Based Violence (ENDGBV) develops policies and programs, provides training and prevention education, conducts research and evaluations, performs community outreach, and operates the New York City Family Justice Centers. The office collaborates with City agencies and community stakeholders to ensure access to inclusive services for survivors of domestic and gender-based violence (GBV) services. GBV can include intimate partner and family violence, elder abuse, sexual assault, stalking, and human trafficking. ENDGBV operates the New York City Family Justice Centers. These co‐located multidisciplinary domestic violence service centers provide vital social service, civil legal and criminal justice assistance for survivors of intimate partner violence and their children under one roof. The Brooklyn Family Justice Center opened in July 2005; the Queens Family Justice Center opened in July 2008; the Bronx Family Justice Center opened in April 2010; Manhattan Family Justice Center opened in December 2013 and Staten Island Family Justice Center opened in June 2015. ENDGBV also has a Policy and Training Institute that provides trainings on intimate partner violence to other City agencies. The New York City Healthy Relationship Academy, with is part of the Policy and Training Institute, provides peer lead workshops on healthy relationships and teen dating violence to individuals between the age of 13 and 24, their parents and staff of agencies that work with youth in that age range. The dataset is collected to produce an annual report on the number of family-related and domestic violence related incidents that occur at the community board district level in New York City. The New York City Police Department provides ENDGBV with count data on: family-related domestic incident reports, family-related felony assaults, domestic violence felony assaults, family-violence related rapes and domestic violence related rapes.

Police-reported organized crime, by most serious violation (homicide and attempted murder, assault, sexual violations, kidnapping and hostage taking, human trafficking, robbery and theft, firearm and weapons violations, extortion and criminal harassment, arson, forgery and fraud, child pornography, criminal organization involvement, probation and court violations, drug possession and trafficking, and other violations), Canada (selected police services), 2016 to 2023.

Homeless resources in and around the City of Redlands. These resources are categorized by clothing, computer/internet services, educational programs/job searching assistance, food distribution/hot meals, housing/utility assistance/shelter, human trafficking/domestic violence services, individual/family support, legal services, medical/dental/optic, mental health/drug & alcohol programs, showers/hygiene kits/laundry, and youth services.