In 2023, about 43,827 first-time victims of child abuse were reported in Texas, the most out of any state. In that year, California, New York, Illinois, and North Carolina rounded out the top five leading states with the most victims of child abuse.

In 2021, about 652 child abuse perpetrators were reported in Wyoming. In California, there were 49,073 reported perpetrators. Nationwide, about 452,313 child abuse perpetrators were reported in that year.

In 2023, there were 546,159 victims of child abuse in the United States. This is a slight decrease from the previous year, when there were 558,088 victims of child abuse, and is the lowest number of victims since 2012.

In 2023, the child abuse rate for children of Hispanic origin was at 6.7, indicating 6.7 out of every 1,000 Hispanic children in the United States suffered from some sort of abuse. This rate was highest among American Indian or Alaska Native children, with 13.8 children out of every 1,000 experiencing some form of abuse. Child abuse in the U.S. The child abuse rate in the United States is highest among American Indian or Alaska Native victims, followed by African-American victims. It is most common among children between two to five years of age. While child abuse cases are fairly evenly distributed between girls and boys, more boys than girls are victims of abuse resulting in death. The most common type of maltreatment is neglect, followed by physical abuse. Risk factors Child abuse is often reported by teachers, law enforcement officers, or social service providers. In the large majority of cases, the perpetrators of abuse were a parent of the victim. Risk factors, such as teen pregnancy, violent crime, and poverty that are associated with abuse and neglect have been found to be quite high in the United States in comparison to other countries.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024

Child maltreatment rate - This indicator shows the rate of children who are maltreated per 1,000 population under the age of 18. Child abuse or neglect can result in physical harm, developmental delays, behavioral problems, or death. Abused and neglected children are at greater risk than other children for delinquency and mistreatment of their own children. https://health.maryland.gov/pophealth/Documents/SHIP/SHIP%20Lite%20Data%20Details/Child%20Maltreatment%20Rate.pdf" > Link to Data Details

This project undertook the systematic collection of first-generation data concerning the nature, extent, and seriousness of child sexual exploitation (CSE) in the United States. The project was organized around the following research objectives: (1) identification of the nature, extent, and underlying causes of CSE and the commercial sexual exploitation of children (CSEC) occurring in the United States, (2) identification of those subgroups of children that were at the greatest risk of being sexually exploited, (3) identification of subgroups of adult perpetrators of sex crimes against children, and (4) identification of the modes of operation and other methods used by organized criminal units to recruit children into sexually exploitative activities. The study involved surveying senior staff members of nongovernment organizations (NGOs) and government organizations (GOs) in the United States known to be dealing with persons involved in the transnational trafficking of children for sexual purposes. Part 1 consists of survey data from nongovernment organizations. These were local child and family agencies serving runaway and homeless youth. Part 2 consists of survey data from government organizations. These organizations were divided into local, state, and federal agencies. Local organizations included municipal law enforcement, county law enforcement, prosecutors, public defenders, and corrections. State organizations included state child welfare directors, prosecutors, and public defenders. Federal organizations included the Federal Bureau of Investigation, Federal Public Defenders, Immigration and Naturalization Service, United States Attorneys, United States Customs, and the United States Postal Service. Variables in Parts 1 and 2 include the organization's city, state, and ZIP code, the type of services provided or type of law enforcement agency, how the agency was funded, the scope of the agency's service area, how much emphasis was placed on CSEC as a policy issue or a service issue, conditions that might influence the number of CSEC cases, how staff were trained to deal with CSEC cases, how victims were identified, the number of children that experienced child abuse, sexual abuse, pornography, or other exploitation in 1999 and 2000 by age and gender, methods of recruitment, family history of victims, gang involvement, and substance abuse history of victims.

In the United States, more perpetrators of child abuse were women than men. In 2023, about 215,443 perpetrators of child abuse were women, compared to 197,690 male perpetrators.

These data examine the relationships between childhood abuse and/or neglect and later criminal and violent criminal behavior. In particular, the data focus on whether being a victim of violence and/or neglect in early childhood leads to being a criminal offender in adolescence or early adulthood and whether a relationship exists between childhood abuse or neglect and arrests as a juvenile, arrests as an adult, and arrests for violent offenses. For this data collection, adult and juvenile criminal histories of sampled cases with backgrounds of abuse or neglect were compared to those of a matched control group with no official record of abuse or neglect. Variables contained in Part 1 include demographic information (age, race, sex, and date of birth). In Part 2, information is presented on the abuse/neglect incident (type of abuse or neglect, duration of the incident, whether the child was removed from the home and, if so, for how long, results of the placement, and whether the individual was still alive). Part 3 contains family information (with whom the child was living at the time of the incident, family disruptions, and who reported the abuse or neglect) and data on the perpetrator of the incident (relation to the victim, age, race, sex, and whether living in the home of the victim). Part 4 contains information on the charges filed within adult arrest incidents (occasion for arrest, multiple counts of the same type of charge, year and location of arrest, and type of offense or charge), and Part 5 includes information on the charges filed within juvenile arrest incidents (year of juvenile charge, number of arrests, and type of offense or charge). The unit of analysis for Parts 1 through 3 is the individual at age 11 or younger, for Part 4 the charge within the adult arrest incident, and for Part 5 the charge within the juvenile arrest incident.

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 investigators if further information is needed. This study conducted a retrospective analysis of how child sexual abuse cases referred for prosecution in several counties in one New England state over a five year period (2009-2013) progressed through the system. In particular, the study focused on the distribution of the cases' outcomes and factors associated with these outcomes. The collection contains eight SPSS data files: D1_General-Case-Details.sav (n=500; 103 variables) D2_Background-Checks.sav (n=614; 9 variables) D3_Trial-Information.sav (n=89; 123 variables) D4_First-Victim-Details.sav (n=500; 289 variables) D5_Add-Victim-Details.sav (n=54; 289 variables) D6_First-Perp-Details.sav (n=500; 62 variables) D7_Add-Perp-Details.sav (n=60; 62 variables) D8_Medical-Information.sav (n=97; 35 variables) Demographic variables include age, birth date (month and year), gender, race, ethnicity, living arrangements, number of siblings, immigration status and ability to speak English.

The State Child Abuse and Neglect (SCAN) Policies Database, supported by the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human services, compiles data on state definitions and policies related to the surveillance of child maltreatment incidence and associated risk and protective factors. The SCAN Policies Database is a resource for researchers, analysts, and others who are interested in examining differences in definitions and policies on child maltreatment across states. A primary use of these data is to allow researchers to link the analytic files to other data sources to address important questions about how variations in states’ definitions and policies are associated with the incidence of child maltreatment, the child welfare system response, and ultimately child safety and well-being. Other data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect. The SCAN Policies Database includes state definitions and policies from the 50 states, the District of Columbia, and the Commonwealth of Puerto Rico. The data were collected from a review of statutes and state documentation between May 2019 - June 2020.

Investigators: Elizabeth C. Weigensberg, PhD - Mathematica Nuzhat Islam, MS - Mathematica Jean Knab, PhD - Mathematica Mary A. Grider, MBA - Mathematica Jeremy Page, MA - Mathematica Sarah Bardin, BA - Mathematica

The numbers of single perpetrator relationships (unique count) are counted once for each relationship category. Perpetrators with two or more relationships are counted in the multiple relationship category. Numbers are for the most recent federal fiscal year for which data are available.

To view more National Child Abuse and Neglect Data System (NCANDS) findings, click link to summary page below: https://healthdata.gov/stories/s/kaeg-w7jc

The purpose of this study was to provide a comprehensive, case-level examination of the full spectrum of case processing of serious child abuse and neglect cases as they flowed through the justice process, from initial receipt of a report to final disposition in the criminal and/or civil court. This was accomplished by in-depth, detailed tracking, from a single jurisdiction, of both prospective and retrospective samples of serious child abuse cases reported to child protective services and law enforcement agencies. The four agencies that participated directly by providing case samples and case files for tracking were: (1) Child Protective Services (CPS), (2) the sheriff's office, (3) Dependency Court Legal Services (DCLS), and (4) the county prosecutor's office. Each case was abstracted at the point of sampling and then tracked throughout the other participating agencies. Data were collected over a nine-month period. Part 1, Maltreatment Abstract, Person Roster, and CPS Abstract Data, contains three types of data. First, information is provided on each maltreatment incident committed by each perpetrator, background of the perpetrator and the victim, and characteristics of the incident. The data continue with a roster of persons, which covers the relationships among the individuals in the case and whether any of these individuals were living together at the time of the maltreatment. Data from the CPS abstract include which source brought the case to the attention of Protective Services, the dates, priority, and investigation level of the report, if any prior allegations of maltreatment had occurred that involved either the same victims and/or perpetrators and, if so, information on those reports, and the perpetrator's response to the incident and level of cooperation with the investigation. For each victim, information is given on medical findings, if applicable, whether photographs were taken, whether a guardian was appointed, whether the victim was assigned an interim placement, and the CPS disposition of the case. Part 1 concludes with information on interviews with the victim, where the case was referred, the assessment of risk in the case, and whether the victim was placed in foster care. Part 2, Dependency Court Abstract Data, provides information on the case, the reason the case was closed, and the outcome as determined by the court. Part 3, Juvenile Court Schedule of Hearings Data, focuses on the schedule of hearings, such as who was present and if they were represented by an attorney, whether the hearing took place, and, if not, the reason for delay. Part 4, Law Enforcement Abstract Data, contains dates of incidents, reports, and arrests, details of the case, and how the case was handled. Part 5, State Attorney's Office Abstract Data, offers data on the case closing, charges, and sentencing, as well as information on the type of defense attorney representing the perpetrator, if a juvenile, how the defendant was referred to adult court, whether the state attorney filed cases on other perpetrators in the case, whether the victim was interviewed by the prosecutor prior to filing, and whether the victim was deposed by the state attorney after the case was filed. Part 6, Criminal Court Schedule of Hearings Data, contains information on date of arrest, filing, and court hearing, whether a public defender was assigned, number of hearings, type of hearing, and coded remarks about the hearing. Part 7, State Attorney Addendum Data, provides "no-file" data from the State Attorney Questionnaire Addendum, including if the no-file was a warrant or arrest, date of the no-file, and reason for the no-file.

This dataset contains California child population (0-17) and children with child maltreatment allegations, substantiations, and entries.

Child Molestation and Abuse Category Archives — Michigan Sex Crime Attorneys Blog Published by Michigan Sex Crime Lawyers — Grabel & Associates | Published by Michigan Sex Crime Lawyers — Grabel & Associates

In 2023, about 187,633 perpetrators of child abuse in the United States were white. In that same year, about 82,421 perpetrators of child abuse were Hispanic, and 25,113 were of unknown ethnic origin.

Compare substantiated child abuse rates to juvenile justice referrals in New Mexico neighborhoods over the period 2007 to 2012.See original map, with more detail:CHILD ABUSE AND NEGLECT IN NEW MEXICONEW MEXICO COMMUNITY DATA COLLABORATIVE http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=fdaca7647b0740d88538f78e4bfdb52e(For online, child care referral services see: https://www.newmexicokids.org/content/parents_and_families/childcare_search/ )With this map you can explore substantiated child abuse rates and repeat instances of child abuse for each census tract in New Mexico. You can contrast this risks with community assets such as child care, pre-kindergarten access, Head Start centers and. Back ground colors depict FIT clients, , low-income population, children of foreign born and the number of children under 5 years of age in New Mexico census tracts.The layers can be toggled on and off, and details about each site will appear with a left click on the symbol or area on the map. Use controls or the mouse wheel to zoom in and out.*NEW MEXICO COMMUNITY DATA COLLABORATIVE*Master files of these agregated datasets are available in MSExcel - Contact Thomas.Scharmen@state.nm.usSOURCES: Population - 2006-2010 ACS; Child Care Centers - NM CYFD Early Learning Services DivisionHead Start Centers - Early Childhood Learning and Knowledge Center, Health and Human Services Dept Pre-K Centers - NM CYFD Early Learning Services Division, UNM Continuing EducationFIT Client Database - NM DOH Developmental Disabilities Supports DivisionChild Neglect and Abuse - NM CYFD Protective Services DivisionCOLLABORATORS: Will Athas, UNM & NM ELAC; MaryEllen Bearzi, NM CYFD-PSD; Albert Ericson, NMDOH-DDSD; Andrew Gingerich, NM ELAC; Steve Hendrix, NM CYFD-ELSD; Kilko Paz, UNM-NMKids; Tom Scharmen, NMDOH-PHD

Numbers and rates of child victims by single year age and by state for the most recent federal fiscal year for which data are available. To view more National Child Abuse and Neglect Data System (NCANDS) findings, click link to summary page below: https://healthdata.gov/stories/s/kaeg-w7jc

This study identifies factors that significantly increase or decrease the likelihood that a child maltreatment report will be substantiated once an investigation occurs. A specific concern of the study was to investigate the size and nature of the difference in substantiation rates for reports originating from professional sources mandated by law to report suspected cases of child maltreatment compared to reports from non-professional sources, such as relatives and neighbors. A representative sample of 796 sexual abuse, 198 physical abuse and 880 neglect reports were obtained from the New York State Child Abuse and Maltreatment Register. Types of data collected included background variables (e.g., sex and age of the subject child); the source of the report; actions that took place after the report was filed (e.g., court action), and the case determination. Investigators: Abstract

Other data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect.

Investigators: Elizabeth C. Weigensberg, PhD - Mathematica Nuzhat Islam, MS - Mathematica Milena Raketic, M.Ed - Mathematica Mary A. Grider, MBA - Mathematica Jeremy Page, MA - Mathematica

ObjectiveChild Sexual Abuse (CSA) is a pressing human right issue and public health concern. We conducted a systematic review of quantitative and qualitative studies published in the past decade on CSA in India to examine the distribution of the prevalence estimates for both genders, to improve understanding of the determinants and consequences of CSA and identify gaps in the current state of research.MethodsFor this systematic review, we searched electronic literature databases (PubMed, POPLINE, and PsycINFO) for articles published in English on Child Sexual Abuse in India between January 1, 2006 and January 1, 2016 using 55 search terms. Data were extracted from published articles only.FindingsFifty-one studies met inclusion criteria for the review. The review indicates that prevalence rates of CSA is high among both boys and girls in India. Due to heterogeneity of study designs and lack of standardised assessments, reported prevalence estimates varied greatly among both genders in different studies. There is a need to conduct representative studies using a validated instrument to obtain valid epidemiological estimates. Commercial sex workers, men who have sex with men, and women with psychiatric disorders were at higher risks for sexual abuse during childhood. In addition, the synthesis of qualitative data across studies included in the review suggests that exposure and perpetration of CSA is a multifaceted phenomenon grounded in the interplay between individual, family, community, and societal factors. The review indicates poor physical, behavioural, social, and mental health outcomes of CSA in India. We conclude with a research agenda calling for quantitative and qualitative studies to explore the determinants and perpetration of child sexual abuse in India from an ecological lens. This research agenda may be necessary to inform the development of a culturally tailored primary prevention and treatment strategy for CSA victims in India.