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.

In the United States, perpetrators of child abuse are more likely to be parents of the child than a non-parent. In 2023, about 189,635 children in the United States were abused by their mother. Furthermore, 125,493 children were abused by their father in that year.

The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure. Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.

Types of Abuse, Neglect and Financial Exploitation - A single APS case can have more than one allegation. Neglect is the failure to provide the protection, food, shelter, or care necessary to avoid emotional harm or physical injury. The alleged perpetrator of the neglect may be the victim or the victim's caregiver. There are three types of neglect allegations: Physical Neglect, Medical Neglect, and Mental Health Neglect. Other allegation types include: Financial Exploitation, Physical Abuse, Emotional or Verbal Abuse, or Sexual Abuse. The population totals do not match prior DFPS Data Books, printed or ontline. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated. Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio. Current population estimates and projections for all years from 2014 to 2023 as of December 2023. Visit dfps.state.tx.us for information on all DFPS programs.

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.

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.

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

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.

Number and percentage of Canadians who experienced physical or sexual abuse before the age of 15, by selected demographic characteristics.

The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States.

Units of Response: Report-Child Combination

Type of Data: Administrative

Tribal Data: Unavailable

Periodicity: Annual

Demographic Indicators: Disability;Ethnicity;Housing Status;Military;Race;Sex

SORN: Not Applicable

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/request-restricted-data.cfm

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Granularity: Individual;State

Spatial: United States

Geocoding: FIPS Code;State

This study examines the incidence of substantiated maltreatment among children with cognitive, physical, emotional or learning disabilities, with specific attention given to the relationship between maltreatment and disabilities. It also investigates the incidence of child abuse and neglect among children in substance abusing families, and the relationship between child abuse and familial substance abuse. The data were collected from a nationally representative group of 35 Child Protective Services (CPS) agencies, which were asked to provide information on all cases of substantiated maltreatment over a four to six week period in early 1991. The Archive distributes 5 data files for this study which provide information on a total of 1,249 substantiated maltreatment incidents. A case-level data file includes demographic information on the children and adults involved in each case, information on the timing, type, and reporting of maltreatment, data on the relationships between the individuals involved in each case, and case status. A second file contains caseworker assessments of children with suspected or known disabilities, as well as information on the sources and reliability of those assessments. An estimated 14.1 percent of the children in the study were identified by caseworkers as having one or more disabilities, using the definition found in the Americans with Disabilities Act (P.L. 101-336). A third data file contains substance abuse information for each adult in the study suspected of substance abuse. In addition to the three files mentioned above there are two files the which the Archive distributes which are restructured versions of the case-level file, in which the unit of analysis has been changed to represent an individual involved in a case.

Investigators: Ratnofsky, A., & Crosse, S.

Allegation Disposition (Findings): Valid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment occurred. Invalid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment did not occur. Unable to Determine. A preponderance of the available evidence is insufficient to support a finding of Valid or Invalid. Other. The allegation disposition Other is used when an investigation of the allegation was not completed for some reason, e.g. clients died or cases were misclassified. Family Violence is indicated when a validated investigation has a relative perpetrator, excluding those where financial exploitation is the only confirmed allegation. Beginning in Fiscal Year 2015, services provided during the investigation are documented in the investigation stage and not in a separate service stage. The "Other" Disposition category refers to those investigations that workers could not complete, e.g. clients died or cases were misclassified. The population totals do not match prior DFPS Data Books, printed or online. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated. Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio. Current population estimates and projections for all years from 2014 to 2023 as of December 2020. Visit dfps.state.tx.us for information on all DFPS programs.

Child Welfare Policies and Demographic Characteristics: A Compilation of State-Level Data is a suite of datasets gathered from various sources. All datasets in this suite contain information about states. It is intended to be a resource for researchers doing policy studies in the areas of foster care, adoption, and child abuse, and is intended as a supplement to the AFCARS and NCANDS datasets. It consists of five studies, their data, and final reports (if any).The common thread linking this suite of datasets is that the level of analysis is always states. This information can be used to group or classify states in some domain, coupled with using the AFCARS or NCANDS data to explore how states or groups of states compare. The intention is that this process will increase the value of AFCARS and NCANDS for analyzing the effects of policy differences across states. Most of the data were gleaned from reports published by academic or public interest organizations, such as The Urban Institute, the North American Council on Adoptable Children, or the John F. Kennedy School of Government at Harvard University. Each of these reports is available at the organization's web site, and is included in the files that accompany this User Guide in PDF format. The value of this compilation is in providing the data in a form that is readily readable by statistical programs such as SAS, SPSS, and Stata, and in compiling in one place the descriptions of the variables and values contained in the reports. Other data in this suite were collected from the United States Bureau of the Census and Wikipedia, a web-based encyclopedia.

Investigators: Hansen, Mary & Dineen, Michael

The purpose of this study was to examine whether the National Institute of Child Health and Human Development (NICHD) Investigative Interview Protocol impacted child sexual abuse case outcomes within the justice system. The researchers coded information from child protection and police reports, Children's Justice Center (CJC) intake forms, and the CJC electronic database to create a dataset on 1,280 alleged child sexual abuse cases involving children interviewed in Salt Lake County, Utah, between 1994 and 2000. Specifically, the research team gathered case characteristics and case outcomes data on 551 alleged child sexual abuse cases in which investigative interviews were conducted from 1994 to mid-September 1997 before the NICHD protocol was implemented, and 729 alleged child sexual abuse cases in which investigative interviews were conducted from mid-September 1997 to 2000 after the implementation of the NICHD protocol, so that pre-NICHD protocol and NICHD protocol interview case outcomes could be compared. The same police detectives conducted both the pre-NICHD protocol interviews and the NICHD protocol interviews. The dataset contains a total of 116 variables pertaining to cases of suspected child abuse. The major categories of variables include demographic data on the suspected child victim and on the suspected perpetrator, on case characteristics, on case outcomes, and on time delays.

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. Link to Data Details

The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure. Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.

Preventing child abuse is a unifying goal. Making decisions that affect the lives of children is an unenviable task assigned to social services in countries around the world. The consequences of incorrectly labelling children as being at risk of abuse or missing signs that children are unsafe are well-documented. Evidence-based decision-making tools are increasingly common in social services provision but few, if any, have used social network data. We analyse a child protection services dataset that includes a network of approximately 5 million social relationships collected by social workers between 1996 and 2016 in New Zealand. We test the potential of information about family networks to improve accuracy of models used to predict the risk of child maltreatment. We simulate integration of the dataset with birth records to construct more complete family network information by including information that would be available earlier if these databases were integrated. Including family network data can improve the performance of models relative to using individual demographic data alone. The best models are those that contain the integrated birth records rather than just the recorded data. Having access to this information at the time a child’s case is first notified to child protection services leads to a particularly marked improvement. Our results quantify the importance of a child’s family network and show that a better understanding of risk can be achieved by linking other commonly available datasets with child protection records to provide the most up-to-date information possible.

The Children's Bureau has provided nine data tables in CSV ("Comma Separated Values") file format as an aid to researchers and others who would like to use the data from the Child Maltreatment 2014 report. The provided tables contain basic counts and demographic information that the Children's Bureau believes are of special interest to researchers. These materials are in the public domain and may be reproduced fully or partially without permission of the federal government. The courtesy of attribution is requested. Please note that these tables are a source for the Child Maltreatment 2014 report and if used in research the table name should be changed and we request that source of the data be noted. The recommended citation is provided below: U.S. Department of Health and Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children’s Bureau. (2016). Child maltreatment 2014. Available from /cb/research-data-technology/statisti... Metadata-only record linking to the original dataset. Open original dataset below.

Data shows(1) characteristics of the sample and the three ctq-clusters(2) Distribution of the yellow flags in PHQ-2, GAD-2, and PHQ-4 in the three CTQ Clusters(3) number of reported types of maltreatment in the three ctq clusters(4) Explained variance of the typological approach and the cumulative risk model

In 2023, there were about 541,713 victims of child abuse in the United States. In that year, about 129,187 children of Hispanic origin were reported to be abused in the country. A further 119,898 Black children were the victims of abuse in that year.