Intimate Partner Violence–Related Homicides of Hispanic and Latino Persons — National Violent Death Reporting System, United States, 2003–2021

Sarah Treves-Kagan, PhD1; Yanet Ruvalcaba, PhD1; Daniel T. Corry, PhD2; Colleen M. Ray, PhD1; Vi D. Le, PhD1; Rosalyn D. Lee, PhD1; Carlos Siordia, PhD1; Melissa C. Mercado, PhD1; Lianne Fuino Estefan, PhD1; Tatiana M. Vera, MPhil3,4; Megan C. Kearns, PhD1; Laura M. Mercer Kollar, PhD5; Delight E. Satter, MPH6,7; Ana Penman-Aguilar, PhD8; José T. Montero, MD6 (View author affiliations)

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Abstract

Problem/Condition: In 2022, homicide was the second leading cause of death for Hispanic and Latino persons aged 15–24 years in the United States, the third leading cause of death for those aged 25–34 years, and the fourth leading cause of death for those aged 1–14 years. The majority of homicides of females, including among Hispanic and Latino persons, occur in the context of intimate partner violence (IPV). This report summarizes data from CDC’s National Violent Death Reporting System (NVDRS) on IPV-related homicides of Hispanic and Latino persons in the United States.

Period Covered: 2003–2021.

Description of System: NVDRS collects data regarding violent deaths in the United States and links three sources: death certificates, coroner or medical examiner reports, and law enforcement reports. IPV-related homicides include both intimate partner homicides (IPHs) by current or former partners and homicides of corollary victims (e.g., children, family members, and new partners). Findings describe victim and suspect sex, age group, and race and ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics. Deaths related to each other (e.g., an ex-partner kills the former partner and their new partner) are linked into a single incident. State participation in NVDRS has expanded over time, and the number of states participating has varied by year; data from all available years (2003–2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were used for this report. Of the 49 states that collect data, all except California and Texas collect data statewide; Puerto Rico and District of Columbia data are jurisdiction wide. Florida was excluded because the data did not meet the completeness threshold for circumstances.

Results: NVDRS collected data on 24,581 homicides of Hispanic and Latino persons, and data from all available years (2003–2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were examined. Among homicides with known circumstances (n = 17,737), a total of 2,444 were classified as IPV-related (13.8%). Nearly half of female homicides (n = 1,453; 48.2%) and 6.7% (n = 991) of male homicides were IPV-related; however, among all Hispanic and Latino homicides, most victims were male (n = 20,627; 83.9%). Among the 2,319 IPV-related homicides with known suspects, 85% (n = 1,205) of suspects were current or former partners for female victims, compared with 26.2% (n = 236) for male Hispanic and Latino victims. Approximately one fifth (71 of 359 [19.8%]) of female IPV-related homicide victims of childbearing age with known pregnancy status were pregnant or ≤1 year postpartum. Approximately 5% of IPV-related homicide victims were identified as Black Hispanic or Latino persons (males: n = 67; 6.8%; females: n = 64; 4.4%). A firearm was used in the majority of Hispanic and Latino IPV-related homicides (males: n = 676; 68.2%; females: n = 766; 52.7%).

Interpretation: This report provides a detailed summary of NVDRS data on IPV-related homicides of Hispanic and Latino persons in the United States during 2003–2021. This report found heterogeneity of characteristics and circumstances of Hispanic and Latino IPV-related homicides. Whereas most Hispanic and Latino homicide victims were male, nearly 60% of Hispanic and Latino IPHs and IPV-related homicide victims were female. Additional research is needed to better understand the relation between IPHs and IPV-related homicides and race (distinct from ethnicity) and pregnancy.

Public Health Action: NVDRS provides critical and ongoing data on IPV-related homicides of Hispanic and Latino persons in the United States that can be used to identify existing strategies and develop new early intervention strategies to prevent IPV and the escalation of IPV to IPH. Strategies that have demonstrated promise in reducing rates of IPH include expanded availability of low-income housing units; sanctuary policies that outline the relation between immigration enforcement and law officers; state laws prohibiting firearm access to those subject to domestic violence restraining orders; improvement of community relations with police to implement risk-based interventions; and comprehensive social, economic, medical, and legal safety nets to create pathways out of abusive relationships, including for pregnant women. Community, local, state, and Federal leaders can combine data on IPV-related deaths and the best available evidence-based programming and policy to create community-engaged solutions that reflect the experience of their Hispanic and Latino communities, including historical and societal factors that increase risk for violence.

Introduction

In the United States in 2022, homicide was the second leading cause of death for Hispanic and Latino persons aged 15–24 years, the third leading cause of death for those aged 25–34 years, and the fourth leading cause of death for those aged 1–14 years (1). Intimate partner violence (IPV) is defined as physical or sexual violence, stalking, or psychological harm by a current or former intimate partner or spouse (2). Intimate partner homicide (IPH) is a lethal form of IPV and accounts for a considerable proportion of homicides. In 2020, for all race and ethnicity groups, when the relationship of victims to homicide suspects was known, the suspects were current or former intimate partners of female (50.0%) and male victims (7.9%) (3). IPV-related homicides include homicides by current or former partners (i.e., IPHs) and homicides of corollary victims (e.g., children, family members, new partners, friends and acquaintances of intimate partners, law enforcement officers, and strangers who might have been present at the time of the incident). Using this more expansive definition allows for better understanding of the full extent of lives lost to IPV-related homicide. An analysis of National Violent Death Reporting System (NVDRS) data from 2006–2015 across 16 states found that approximately 290,000 potential years of life were lost because of IPV-related homicides (4).

Multiple analyses of NVDRS data also have identified disparities in IPV-related homicide victimization by sex as well as race and ethnicity (46). Although men account for approximately three fourths of firearm-related homicide victims in the United States, women account for approximately three fourths of firearm-related IPH victims (7). An analysis of NVDRS data collected during 2003–2014 in 18 states found that 61% of homicides (using any weapon and method type) of female Hispanic and Latino persons were IPV-related (5). A 2021 study found that Hispanic and Latino persons lost approximately 33,500 potential years of life from IPV-related homicides (4); both Hispanic and Latino IPHs and corollary victims were younger than their White counterparts, leading to disparities in potential years of life lost (4). Because the Hispanic and Latino population is now the largest ethnic minority group in the United States, and majority population in certain areas, additional research on IPV-related homicides among this group is needed to improve prevention efforts (8).

Hispanic and Latino Populations in the United States

The Hispanic and Latino community is diverse with important and increasing economic, political, and cultural influence throughout the United States (9,10). During 2010–2020, approximately half (51.1%) of the population growth in the United States was attributable to Hispanic and Latino persons (10). After the 2020 census, the U.S. Census Bureau estimated there were 62.1 million Hispanic and Latino persons in the United States, accounting for 18.7% of the country’s population (10), although this is likely an undercount (11). Hispanic and Latino communities also are racially diverse. The American Community Survey’s 5-year estimate during 2017–2021 found that 47.3% of Hispanic and Latino persons identified as White, 28.2% as another race, and 20.7% as multiracial. Approximately 2.0% of respondents selected Black or African American (Black) alone, 1.3% selected single-race American Indian or Alaska Native (AI/AN), and <1.0% selected Native Hawaiian or other Pacific Islander or Asian only (12). Many data collection systems and data users’ analytic approaches do not include the full diversity of Hispanic and Latino persons, specifically indigenous populations and descendants of enslaved Africans in the United States, Latin America, and the Caribbean (1315).

Although the term “Hispanic and Latino” is used in this report, the social constructs of ethnicity and the terminology used to describe it can vary by context and evolve (e.g., “Latinx” or “Latiné”). In the United States, the term “Hispanic” is used to refer to persons from Spanish-speaking countries and places (e.g., Spain, Mexico, and Puerto Rico). The term “Latino” includes persons from Latin American countries, including those who are not Spanish speaking (e.g., Brazil), and certain Caribbean countries. Because the term “Latino” is considered by certain persons as a masculine demonym that erases “the existence of other gendered possibilities” (16), the term “Latinx,” emerged and is mostly used in the United States, replacing the “a” and “o” signifiers of masculine and feminine forms, rejecting gender binaries. “Latiné” is a more popular term in Latin America that also provides a gender-neutral alternative and is more “phonologically attuned and fluid” in Spanish (16). Mixed support for each term exists; more in-depth discussions of the nuances of each term and the debate regarding which term is preferred are published across the research literature (16,17).

The current and historical social and structural conditions in which Hispanic and Latino persons live, work, and learn can influence their risk for multiple forms of violence. Research on risk and protective factors for IPH continues to grow (18), expanding what is known among different racial and ethnic communities. Studies suggest that Hispanic and Latino communities can disproportionately experience risks for IPV because of structural marginalization, interpersonal discrimination, and xenophobia (1923). Poverty and economic hardships also can increase the risk for IPV (2427), and research has consistently documented the relation between IPV and housing instability and homelessness for women and children (24,25,28,29). Certain Hispanic and Latino communities in the United States experience economic marginalization (3032). For example, in 2022, Hispanic and Latino women earned 85% as much as Hispanic and Latino men and 65% as much as non-Hispanic White men (33,34). Having multiple, marginalized identities also can magnify risk for violence, and trauma exposures can persist across generations (3538). Hispanic and Latino persons, particularly those with indigenous and African ancestry, have experienced profound effects of past and current systemic marginalization and intergenerational trauma resulting from massacres; enslavement; sexual abuse; loss of land, language, and culture; systems marginalization; and forced acculturation (3638). These effects are associated with IPV through multiple mechanisms, including higher household stressors, lower access to services, and vulnerability to revictimization (21,23,39). However, many Hispanic and Latino communities in the United States also hold a strong sense of cultural heritage, value community, place substantial importance on family, and demonstrate considerable resilience, which are all important protective factors for multiple forms of violence (39,40).

Responding to and preventing IPV-related homicides of Hispanic and Latino persons requires characterizing victim and suspect demographics, the relations between victims and suspects, and the contexts in which the homicides occur. This report provides an overview of IPV-related homicides of Hispanic and Latino persons in the United States using a state-based surveillance system. Specifically, this report presents data from NVDRS to help Federal, tribal, state, and local governments; public health and health services sectors; the criminal justice system; and victim services to better understand homicide circumstances and inform prevention efforts.

Methods

NVDRS is an active, state-based surveillance system that collects information from death certificates, coroner or medical examiner reports, and law enforcement reports on the characteristics and circumstances of violent deaths, including homicides (41). NVDRS combines information for each death and links related deaths (e.g., multiple homicides and homicide followed by suicide occurring within 24 hours) into a single incident. Trained data abstractors code up to 600 variables using standardized guidance from CDC and write detailed narratives about each incident based on coroner or medical examiner reports and law enforcement reports. Data abstractors select from a list of potential circumstances and are required to code all circumstances that are known to relate to each incident; therefore, circumstances are not mutually exclusive. If either the coroner or medical examiner report or law enforcement report indicates the presence of a circumstance, then the abstractor endorses the circumstance. Abstractors enter this information into an encrypted, web-based system. If circumstances are unknown (e.g., a body was found in the woods with no other details reported), the death was excluded from the denominator for circumstance values.

State participation in NVDRS has expanded over time, and the number of states participating has varied by year (42,43) (Figure) (Supplementary Table 1, https://stacks.cdc.gov/view/cdc/169628). Data from all available years (2003–2021) and U.S. states, jurisdictions, and territories (49 states, Puerto Rico, and the District of Columbia) were used for this analysis. Florida was excluded because the data did not meet the completeness threshold for circumstances. Because Puerto Rico is a unique social, economic, and political location for Hispanic and Latino populations in the United States, a supplemental analysis also was conducted using only data from Puerto Rico. NVDRS data are updated annually and are available to the public through the Web-based Injury Statistics Query and Reporting System (https://www.cdc.gov/injury/wisqars/nvdrs.html). For this report, case-level NVDRS data were used through the NVDRS Restricted Access Database (https://www.cdc.gov/nvdrs/about/nvdrs-data-access.html).

Definitions and Variables Analyzed

Data reported include homicide victim details and circumstances, and when available, suspect details; variable definitions followed standardized NVDRS coding guidance (42). NVDRS defines homicide as a death resulting from the use of physical force or power, threatened or actual, against another person, group, or community when a preponderance of evidence indicates that the use of force was intentional. Homicides were classified by the International Classification of Diseases, Tenth Revision cause-of-death codes X85–X99, Y00–Y09, Y87.1, and U01–U02 (44). In this report, victims and suspects with Mexican, Puerto Rican, Cuban, Central or South American, or other Spanish culture or origin are considered Hispanic or Latino persons, regardless of race. Precipitating circumstances are defined as the events that contributed to the infliction of a fatal injury and are reported on the basis of the content of coroner or medical examiner and law enforcement investigative reports.

IPV-related deaths were defined as those involving homicides committed by intimate partners (i.e., victim was an intimate partner or spouse [current, former, or unspecified] of the suspect), corollary victims of IPH (i.e., other deaths associated with IPV, including homicides of victims who were not the intimate partner, such as family, friends, others who intervened in IPV, first responders, and bystanders), or homicides precipitated by jealousy or distress over an intimate partner’s relationship or suspected relationship with another person.

Variables examined include characteristics of victims and suspected perpetrators (suspects), incidents (e.g., when and where the incident occurred), weapons that inflicted fatal injuries, and circumstances that preceded and directly contributed to the death (e.g., IPV). Data on these precipitating circumstances often originate from investigators’ interviews with informants who knew the victim, witnessed the incident, or both. No personally identifying information is entered into the NVDRS web-based system.

Analysis

Analyses were conducted for all homicides of Hispanic and Latino victims and the subset of IPV-related homicides among Hispanic and Latino persons (e.g., national dataset); this approach builds from previous NVDRS analyses for other populations (5,6). Descriptive analyses were conducted for sociodemographic characteristics of victims and suspects (i.e., sex, age, race and ethnicity, education, metropolitan status, and pregnancy status), mechanisms used to inflict fatal injuries (e.g., firearms), and incident characteristics (i.e., location of injury and victim’s relationship to the suspect). Rural-urban commuting area codes were used to classify geographic areas into metropolitan and nonmetropolitan categories. Sexual orientation and transgender identity were not included in analyses because of challenges collecting these data (45). Categories of precipitating circumstances included interpersonal problems, interpersonal conflict (e.g., IPV or family relationship problem), life stressors (e.g., crisis during previous or upcoming 2 weeks), crime and criminal activity (e.g., drug involvement), and other events of the homicide that were relevant to the death (e.g., victim used a weapon).

All descriptive analyses were conducted and independently confirmed using R (version 4.0.3; R Foundation) and Stata (version 18.0; StataCorp). Detailed descriptions of IPV-related homicide victims, homicide circumstances, and suspect characteristics are presented (Tables 1, 2, 3, and 4). Details for all Hispanic and Latino homicide victims, homicide circumstances, and suspect characteristics also are presented (Supplementary Tables 2, 3, and 4, https://stacks.cdc.gov/view/cdc/169628), as are characteristics of IPV-related homicides, circumstances, and suspects in Puerto Rico (Supplementary Table 5, https://stacks.cdc.gov/view/cdc/169628); only selected variables were reported because of small cell sizes. Sex, race and ethnicity, and other recorded characteristics were documented by coroner or medical examiner reports or law enforcement reports; as such, these might not align with how the victim or suspect self-identifies. This activity was reviewed by CDC, deemed not research, and was conducted consistent with applicable Federal law and CDC policy.*

Results

Characteristics of Hispanic and Latino IPV-Related Homicide Victims

During 2003–2021, a total of 24,581 homicides of Hispanic and Latino persons were reported in NVDRS, and 17,737 (72.2%) had known circumstances. Of the homicides among Hispanic and Latino persons with known circumstances, 13.8% (2,444 of 17,737) were determined to be IPV-related (Table 1). Of these IPV-related homicides, 59.5% (n = 1,453) were female victims (Table 2); conversely, female victims comprised the minority of total homicide victims (n = 3,954; 16.1%) (Supplementary Table 2, https://stacks.cdc.gov/view/cdc/169628). In Puerto Rico, 8.5% (254 of 2,986) of homicides with known circumstances were IPV-related; 32.7% (n = 83) of IPV-related homicide victims were female (Supplementary Table 5, https://stacks.cdc.gov/view/cdc/169628).

Among Hispanic and Latino IPV-related homicide victims (n = 2,444), approximately eight of 10 were identified as White (n = 1,951; 79.8%) and 5.4% (n = 131) as Black. In Puerto Rico, 208 of 255 (81.9%) of IPV-related homicide victims were identified as White and 46 (18.1%) as Black. In the national dataset of Hispanic and Latino IPV-related homicide victims, one third of females (n = 485; 33.4%) and one fourth of males (n = 244; 24.6%) were born outside of the United States. Approximately one third (34.3%) of victims had completed high school or earned a General Education Development certificate (female: n = 462; 33.0%; male: n = 342; 36.4%) and 1 in 4 (n = 366; 26.1%) female victims and 14.8% (n = 139) of male victims had completed some college.

Among female Hispanic and Latino victims of IPV-related homicides, 78.7% (n = 1,144) were of childbearing age (15–44 years) and 31.4% (n = 359) had a known pregnancy status recorded. Of those with known pregnancy status, 19.8% (n = 71) were pregnant or ≤1 year postpartum at the time of death. This result was similar for all Hispanic and Latino female homicide victims (i.e., both IPV-related and non–IPV-related homicide victims; n = 3,954); 66.8% (n = 2,640) victims were of childbearing age (15–44 years) and 31.4% (n = 830) had their pregnancy status recorded (Supplementary Table 2, https://stacks.cdc.gov/view/cdc/169628). Of those with a known pregnancy status, 18.6% (n = 154) were pregnant or ≤1 year postpartum at the time of death.

A firearm was used in 59% of the 2,444 Hispanic and Latino IPV-related homicides (female: n = 766; 52.7%; male: n = 676; 68.2%); a firearm also was used in 200 of the 254 IPV-related homicides in Puerto Rico (male: n = 148; 86.6%; female: n = 52; 62.7%). In the national dataset of Hispanic and Latino IPV-related homicides (n = 2,444), approximately one tenth (n = 143; 9.8%) of female and 1.9% (n = 19) of male victims died by hanging or strangulation. Approximately two thirds (n = 939; 64.8%) of IPV-related homicides of female victims and one third (n = 337; 34.1%) of male victims occurred in the victim’s home. This result differed from total Hispanic and Latino homicides (n = 24,581; Supplementary Table 2, https://stacks.cdc.gov/view/cdc/169628) in which approximately half of female homicides (n = 1,809; 51.7%) and nearly one in five male homicides (n = 3,485; 19.4%) occurred in the victim’s own home.

Characteristics of Hispanic and Latino IPV-Related Homicide Suspects

Of the 2,444 Hispanic and Latino IPV-related victims in NVDRS with known circumstances, 94.9% (n = 2,319) had known suspects (Table 3). Most suspects were male (n = 1,906; 82.2%), regardless of the sex of the victim. Males were identified as suspects for 89.8% (n = 1,274) of female victims, and 70.1% (n = 632) of male victims. Half of suspects (n = 1,162; 50.1%) were identified as Hispanic or Latino persons, 13.9% (323 of 2,319) of suspects were non-Hispanic White, and 7.9% (184 of 2,319) were non-Hispanic Black.

The victim-suspect relationship for Hispanic and Latino IPV-related homicides with known suspects (n = 2,319) differed by sex. For female victims, 1,205 of 1,418 (85.0%) of suspects were current or former intimate partners. Of these intimate partners, three fourths were current intimate partners (n = 907; 75.3%). In Puerto Rico, 75 of 85 (93.8%) suspects of female IPV-related homicide victims were current or former partners. In contrast, 236 of 901 (26.2%) suspects of male Hispanic and Latino IPV-related homicide victims in the national dataset were current or former intimate partners; in Puerto Rico, this percentage was lower (n = 15 of 116; 12.9%). Most male victims of IPV-related homicides in the national dataset were corollary victims; 529 of 901 (58.7%) suspects were known to the victim but were not current or former partners. Examples of other relationships to suspects include friends or acquaintances (n = 129; 14.3%) or another person known to the victim (n = 198; 22.0%; e.g., a bystander witnessed a person assaulting their spouse and when the bystander tried to intervene, they were shot by the perpetrator). Seventy-two children were identified as corollary victims; 44 were male and 28 were female.

Circumstances of IPV-Related Homicides of Hispanic and Latino Persons

Of the 2,432 IPV-related homicides of Hispanic and Latino victims with known circumstances, IPV was specifically mentioned in the medical examiner or law enforcement narrative for 98.7% (n = 1,426) of female victims and 86.9% (n = 858) of male victims (Table 4). Jealousy was mentioned for approximately half (n = 494; 50.1%) of male victims and 12.9% (n = 187) of female victims. During the month before the fatal injury, 8.3% (n = 120) of females and 1.6% (n = 16) of males also were known to be victims of interpersonal violence (of any kind). The perpetration of interpersonal violence (of any kind) during the month before fatal injury was noted for 6.1% (n = 60) of male victims and 0.8% (n = 11) of female victims.

More than two fifths (n = 1,087; 44.7%) of all IPV-related homicides of Hispanic and Latino persons were precipitated by an argument or conflict. A physical fight preceded nearly one fourth (n = 176; 24.1%) of male IPV-related homicides and 10.6% (n = 114) of female IPV-related homicides. Having a crisis (e.g., eviction notice or upcoming court date) during the previous or upcoming 2 weeks around the IPV-related homicide was noted for 13.4% (n = 132) of male victims and 9.6% (n = 138) of female victims. Approximately one in five male (n = 180; 18.2%) and one in 10 female IPV-related homicides (n = 137; 9.5%) were precipitated by another crime. A small proportion of IPV-related homicides was precipitated by drug involvement (male: n = 45; 4.6%; female: n = 27; 1.9%) or gang-related activity (male: n = 44; 4.5%; female: n = 22; 1.5%). Weapons use by the victim and drive-by shootings were reported for 8.0% (n = 79) and 6.1% (n = 60) of male victims, respectively, and 1.0% (n = 15) and 0.6% (n = 8) of female victims, respectively.

Discussion

This report provides the first focused, descriptive overview of IPV-related homicides of Hispanic and Latino persons in the United States using NVDRS, a state-based surveillance system that includes circumstance information from multiple sources. Findings highlight differences in IPV-related homicides among Hispanic and Latino persons by sex. Approximately half of Hispanic and Latino female homicides were IPV-related; 6.7% of Hispanic and Latino male homicides were IPV-related. Similar findings have been reported in previous analyses of NVDRS data on IPV-related homicides among other races and ethnicities (5,6,43). These findings have important implications for preventing the escalation of IPV to IPH and for the primary prevention of IPV (46).

Preventing the Escalation of IPV to IPH

Most suspects in Hispanic and Latino IPV-related homicides of female victims were current or former intimate partners (85.0%) and more than two fifths (44.7%) of all IPV-related homicides were precipitated by an argument or conflict. Preventing the escalation of IPV to IPH requires creating accessible and high-quality avenues of support for IPV victims including safety planning, establishing financial independence, safe and stable housing, child care, emotional support, and legal advocacy (47). Although this report did not examine victims’ previous interactions with law enforcement, previous research has documented that IPV survivors, in general, can face substantial barriers to accessing police and community support (48). These barriers are further exacerbated for certain Hispanic and Latino IPV survivors because they might not feel comfortable calling the police for fear of experiencing racism, discrimination (e.g., because of immigration status), disbelief, victimization by police themselves, or fear of children being removed from the home (21,47,49). Research in Oklahoma found that strong community-level relationships with police can improve access to care, and strong protocols for first responders can increase support for IPV victims (50,51). Studies have documented multiple promising risk-informed collaborations between police and community service partners to increase victim support and reduce subsequent violence (5052).

Certain Hispanic and Latino IPV survivors and victims who are immigrants could face additional fears when seeking help, including fears of deportation (21). Research has documented that perpetrators of IPV sometimes use visa status or misinformation about immigration policy to prevent IPV victims from accessing help or calling police (21). At the community level, previous research has found that calls to law enforcement regarding IPV decrease when immigration enforcement in the community increases (53). Furthermore, another study found that living in a community with sanctuary policies (i.e., policies that regulate cooperation between local authorities and Federal immigration authorities) was associated with lower IPH among female Hispanic and Latino persons (54).

Firearms were the most common mechanism of IPV-related homicides of Hispanic and Latino persons. This finding aligns with IPH in the United States overall, where half of IPHs are committed using firearms (55). From 2019 to 2020, the firearm homicide rate increased by approximately 35% (56,57); the firearm homicide rate for all races and ethnicities in 2021 was the highest recorded in more than two decades and then declined slightly in 2022 (57). Substantial inequities in firearm homicide by race and ethnicity exist (57). Research has found promising strategies to reduce the risk for lethal violence. For example, a recent review described moderate evidence that state laws prohibiting firearm access among those subject to domestic violence restraining orders are associated with a decrease in total and firearm-related IPHs (58).

Another key finding from this report is that 19.8% of all IPV-related homicides of female victims with known pregnancy status were either pregnant or ≤1 year postpartum at the time of death. This result is consistent with previous NVDRS analyses that identified a significant positive association between a history of IPV and pregnancy-associated homicides (5,6,59). The relation between pregnancy and IPV might result from reproductive coercion, a continuation of prepregnancy IPV, partners using pregnancy as a controlling mechanism, or partner stress that is due to feeling out of control because of the pregnancy (60). Paid parental leave has been found to be protective against IPV, as well as child abuse (61,62); however, research has found that Hispanic and Latino parents are significantly less likely to have access to paid parental leave compared with their non-Hispanic White counterparts (63). Few states mandate paid parental leave, and Hispanic and Latino women are overrepresented in sectors and positions that do not offer such benefits (64). Additional research is needed to understand if and how paid parental leave could be protective against IPH of Hispanic and Latino persons. Home-visiting programs; patient-centered prenatal, postpartum, maternal, and child health care; and universal screening from health care providers for IPV, substance use, and mental health problems to connect patients with resources also can help address IPV and promote maternal health (46,62,65,66).

Primary Prevention of IPV

CDC has identified multiple evidence-based strategies to prevent IPV before it occurs, including teaching safe and healthy relationship skills, engaging influential adults and peers, disrupting the developmental pathways toward IPV, creating protective environments, and strengthening economic supports for families (62). Although these strategies have broad prevention implications for many different communities, few IPV prevention strategies have been specifically tailored to and evaluated for Hispanic and Latino persons (67). Furthermore, Hispanic and Latino communities are heterogeneous groups, and consideration should be made for the variation in IPV risk and protective factors across Hispanic and Latino subgroups (6870).

This report found that 29.8% of all Hispanic and Latino IPV-related homicide victims were born outside the United States, similar to national estimates (71). Although citizenship and documentation status were not explored in this report, these can be important determinants for access to factors known to be protective from IPV and IPH. Documentation status (e.g., refugee status and having a work visa) can influence access to safe employment that provides living wages, health care systems, eligibility for social safety programs, and civic participation (72). Whereas the majority of Hispanic and Latino persons in the United States have U.S. citizenship, those who do not have U.S. citizenship might not benefit from multiple policy-level strategies to prevent violence (19,62,71,73,74). For example, those without documentation are excluded from the health insurance exchange, which limits their access to clinicians who can be an important gateway to help those affected by violence in the home (75). Furthermore, earned income tax credits, increased minimum wage, child tax credits, and other social safety net programs that have been documented in reducing child abuse and neglect, and theorized to prevent IPV by reducing household stress, might not be accessible (62,73).

Limitations

The findings in this report are subject to at least six limitations. First, although this report analyzes data from 49 states, Puerto Rico, and the District of Columbia, the data are not nationally representative because not all states and territories participate or participate fully. Furthermore, certain jurisdictions (e.g., Puerto Rico) have included data in NVDRS for a shorter amount of time. As such, the number of homicides accounted for in NVDRS is underreported compared with the actual number of homicides in the United States. Second, the prevalence of IPV-related homicides could be underestimated because the perpetrator of the homicide or their relationship to the victim might be unknown (76). Third, abstractors are limited to information in source documents, which is reflected in the high percentage of missing data regarding pregnancy among female victims of reproductive age. Pregnancy status might be more likely to be available for those who are or were recently pregnant and missing for those who were not pregnant, thus inflating the percentage of IPH victims who were pregnant. However, pregnant women also could have been excluded from both the numerator and denominator, especially those early in their pregnancy or if a recent pregnancy did not result in a live birth (e.g., miscarried or still births). The findings for pregnancy status should be interpreted with caution. Fourth, recorded information might not align with victim or suspect’s self-identification (e.g., race and ethnicity and gender). Hispanic and Latino victims who were ethnically misclassified by law enforcement and medical examiners might have been excluded from this dataset. Alternatively, persons who do not identify as Hispanic and Latino could have been misclassified and included in the dataset (3). Fifth, data on IPH that has occurred on tribal lands might be held in tribal and Federal data systems and therefore not included in this dataset (6). Finally, these findings do not examine sexual orientation, gender identity, or gender expression among homicide victims, although previous research has documented high IPV victimization among persons who identify as a sexual or gender minority (77,78). Previous studies of death certificates have documented that these indicators tend to be underreported and misclassified (45,79). Increasing capacity and consistency of those completing source documents to document these characteristics is critical and would help address the substantial gap in research on IPV-related homicides among those who identify as a sexual or gender minority (50,80). Future research efforts can endeavor to better understand the epidemiological profile of IPV-related homicides of persons who hold both Hispanic or Latino and other intersectional identities.

Future Directions

Future studies and prevention efforts can incorporate research findings as well as build on Hispanic and Latino communities’ longstanding traditions of countering adversities. For example, community-led efforts have deconstructed some structural barriers, including addressing racism and nativism in schools, increasing workplace protections, creating fair and affordable financial products (e.g., opportunities to build credit and access to wealth-building loans), and expanding pathways to citizenship for those born outside the United States (8184). Decades of transnational feminist work also have sought to end violence against Latino women (85). Similarly, AI/AN communities are leading efforts to stop the erasure of AI/AN homicide victims, specifically by upholding the pillars of wellness, protection, self-determination, and resilience found in Traditional Indigenous Knowledge, cultural knowledge, spiritual and ancient healing, and health systems (36,86,87). These efforts could benefit Hispanic and Latino persons who share AI/AN ancestry and could inform future prevention research.

The findings in this report can be used by Federal, tribal, state, and local governments; public health and health services sectors; the criminal justice system; and victim services to inform primary and secondary IPV prevention efforts. Future research can evaluate policies that create more inclusive social safety net programs that prevent further economic and social marginalization and decrease risk for experiencing violence (61,88). For example, affordable housing through the Low-Income Housing Tax Credit program, at the state level, is associated with a decrease in homicides in the context of IPV (89). Similarly, early childhood education programs (e.g., Head Start), have been documented to prevent multiple forms of violence (61). Fully implementing the Culturally and Linguistically Appropriate Service standards (90) and extending to other sectors such as police departments (91) could increase opportunities for intervention before IPV escalates to homicide. Providing trauma-informed care, especially within a collaborative network approach, is another secondary prevention avenue (88,92,93).

Future research also can examine how multiple cultural and racial identities can place subgroups within the Hispanic and Latino population (e.g., AI/AN and Black Hispanic and Latino persons) at increased risk for violence and health inequities (94,95). Although the study data are not representative of the entire Hispanic and Latino population in the United States and racial and ethnic misclassification could be possible, the percentage of IPV-related homicide victims identified as Black was slightly higher than national estimates (12). Examining the links between IPH and the effects of anti-Black sentiment, the denial of African and indigenous ancestry, and the mistreatment of darker-skinned Hispanic and Latino persons (96,97) could inform IPV and IPH prevention strategies. These strategies could address prejudice and discrimination between persons (personally mediated racism) as well as those that address differential access to the goods, services, and opportunities of society by race (institutional racism) (98). Future studies also can evaluate which violence prevention programs and policies are best able to account for the heterogeneity of the Hispanic and Latino population in the United States (99,100).

Conclusion

This report on Hispanic and Latino victims of IPV-related homicides found heterogeneity of characteristics and circumstances, particularly in the context of victim sex. Female Hispanic and Latino homicide victims were more likely to be IPH victims compared with males. Firearm injuries accounted for the majority of IPV-related homicides. The findings also raise important questions about the role of pregnancy and intersecting racial identities. Comprehensive efforts to prevent IPH and IPV-related homicides among Hispanic and Latino persons might benefit from consideration of the structural factors that increase risk, community engagement and community-developed solutions, and use of the best available evidence in a way that is culturally and ethnically relevant.

Acknowledgments

Violent Death Reporting System programs and entities that provide data to the National Violent Death Reporting System, including vital statistics registrars, coroners, medical examiners, and law enforcement agencies.

Corresponding author: Sarah Treves-Kagan; Division of Violence Prevention, National Center for Injury Prevention and Control, CDC. Telephone: 404-498-2941; Email: streveskagan@cdc.gov.


1Division of Violence Prevention, National Center for Injury Prevention and Control, CDC, Atlanta, Georgia; 2Injury Prevention Research Center, The University of Iowa, Iowa City, Iowa; 3Columbia University, Teachers College, Department of Counseling and Clinical Psychology, New York, New York; 4Hispanic Association of Colleges and Universities National Internship Program, San Antonio, Texas; 5Division of Overdose Prevention, National Center for Injury Prevention and Control, CDC, Atlanta, Georgia; 6National Center for State, Tribal, Local, and Territorial Public Health Infrastructure and Workforce, CDC, Atlanta, Georgia; 7Elder and tribal member of the Confederated Tribes of Grand Ronde; 8Office of Health Equity, CDC, Atlanta, Georgia

Conflicts of Interest

All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.


* 45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552a; 44 U.S.C. Sect. 3501 et seq.

References

  1. CDC. Web-based Injury Statistics Query and Reporting System (WISQARS). Atlanta, GA: US Department of Health and Human Services, CDC; 2023. https://www.cdc.gov/injury/wisqars/index.html
  2. Breiding M, Basile KC, Smith SG, Black MC, Mahendra RR. Intimate partner violence surveillance: uniform definitions and recommended data elements. Version 2.0. Atlanta, GA: US Department of Health and Human Services, CDC; 2015. https://www.cdc.gov/intimate-partner-violence/communication-resources/intimatepartnerviolence.pdf
  3. Liu GS, Nguyen BL, Lyons BH, et al. Surveillance for violent deaths—National Violent Death Reporting System, 48 states, the District of Columbia, and Puerto Rico, 2020. MMWR Surveill Summ 2023;72(No. SS-5):1–38. https://doi.org/10.15585/mmwr.ss7205a1 PMID:37220104
  4. Graham LM, Ranapurwala SI, Zimmer C, et al. Disparities in potential years of life lost due to intimate partner violence: data from 16 states for 2006–2015. PLoS One 2021;16:e0246477. https://doi.org/10.1371/journal.pone.0246477 PMID:33596226
  5. Petrosky E, Blair JM, Betz CJ, Fowler KA, Jack SPD, Lyons BH. Racial and ethnic differences in homicides of adult women and the role of intimate partner violence—United States, 2003–2014. MMWR Morb Mortal Wkly Rep 2017;66:741–6. https://doi.org/10.15585/mmwr.mm6628a1 PMID:28727682
  6. Petrosky E, Mercer Kollar LM, Kearns MC, et al. Homicides of American Indians/Alaska Natives—National Violent Death Reporting System, United States, 2003–2018. MMWR Surveill Summ 2021;70(No. SS-8):1–19. https://doi.org/10.15585/mmwr.ss7008a1 PMID:34793415
  7. Kivisto AJ, Magee LA, Phalen PL, Ray BR. Firearm ownership and domestic versus non-domestic homicide in the US. Am J Prev Med 2019;57:311–20. https://doi.org/10.1016/j.amepre.2019.04.009 PMID:31345608
  8. Sabina C, Swatt M. Summary report: Latino intimate partner homicide. Washington, DC: US Department of Justice, National Institute of Justice; 2015. https://nij.ojp.gov/library/publications/summary-report-latino-intimate-partner-homicide
  9. New American Economy. Power of the purse: the contributions of Hispanic Americans. New York, NY: New American Economy, New American Economy Research Fund; 2020. https://research.newamericaneconomy.org/report/hispanic-americans-2019
  10. Jones N, Marks R, Ramirez R, Rios-Vargas M. 2020 Census illuminates racial and ethnic composition of the country. Suitland, MD: US Department of Commerce, US Census Bureau; 2021. https://www.census.gov/library/stories/2021/08/improved-race-ethnicity-measures-reveal-united-states-population-much-more-multiracial.html
  11. O’Hare WP. Differential undercounts in the US census: who is missed? London, United Kingdom: Springer Nature; 2019.
  12. US Census Bureau. American Community Survey, Hispanic or Latino origin detailed tables by race, 5-year estimates, Table B03002 [Internet]. Suitland, MD: US Department of Commerce, US Census Bureau; 2021. https://data.census.gov/table/ACSDT5Y2021.B03002?q=Race
  13. Kauh TJ, Read JG, Scheitler AJ. The critical role of racial/ethnic data disaggregation for health equity. Popul Res Policy Rev 2021;40:1–7. https://doi.org/10.1007/s11113-020-09631-6 PMID:33437108
  14. Jones SE, Satter DE. Implications for coding race and ethnicity for American Indian and Alaska Native high school students in a national survey. J Health Care Poor Underserved 2022;33:1245–57. https://doi.org/10.1353/hpu.2022.0110 PMID:36245161
  15. Ponce N, Becker T, Babey S, et al. Improving data capacity for American Indian/Alaska Native (AIAN) populations in Federal health surveys. Washington, DC: US Department of Health and Human Services, Assistant Secretary for Planning and Evaluation; 2019. https://aspe.hhs.gov/sites/default/files/documents/60498c78ecdee3477f0a083cabf6d901/improving-data-capacity-aian.pdf
  16. Villanueva Alarcón I, Mejia JA, Mejia J, Revelo R. Latiné, Latinx, Latina, Latino, or Hispanic: problematizing terms often used in engineering education. J Eng Educ 2022;111:735–9. https://doi.org/10.1002/jee.20486
  17. Miranda AR, Perez-Brumer A, Charlton BM. Latino? Latinx? Latine? A call for inclusive categories in epidemiologic research. Am J Epidemiol 2023;192:1929–32. https://doi.org/10.1093/aje/kwad149 PMID:37392097
  18. Kim B. Ecological system levels of risk factors for intimate partner homicide perpetration and victimization: a three-level meta-analysis. Trauma Violence Abuse 2023;24:2082–96. https://doi.org/10.1177/15248380221082154 PMID:35260002
  19. Chang CD. Social determinants of health and health disparities among immigrants and their children. Curr Probl Pediatr Adolesc Health Care 2019;49:23–30. https://doi.org/10.1016/j.cppeds.2018.11.009 PMID:30595524
  20. Forster M, Grigsby TJ, Soto DW, Sussman SY, Unger JB. Perceived discrimination, cultural identity development, and intimate partner violence among a sample of Hispanic young adults. Cultur Divers Ethnic Minor Psychol 2017;23:576–82. https://doi.org/10.1037/cdp0000154 PMID:28333477
  21. Raj A, Silverman J. Violence against immigrant women: the roles of culture, context, and legal immigrant status on intimate partner violence. Violence Against Women 2002;8:367–98. https://doi.org/10.1177/10778010222183107
  22. Roberts L, Tamene M, Orta OR. The intersectionality of racial and gender discrimination among teens exposed to dating violence. Ethn Dis 2018;28(Suppl 1):253–60. https://doi.org/10.18865/ed.28.S1.253 PMID:30116095
  23. Treves-Kagan S, Peterman A, Gottfredson NC, Villaveces A, Moracco KE, Maman S. Love in the time of war: identifying neighborhood-level predictors of intimate partner violence from a longitudinal study in refugee-hosting communities. J Interpers Violence 2022;37:NP10170–95. https://doi.org/10.1177/0886260520986267 PMID:33446026
  24. Breiding MJ, Basile KC, Klevens J, Smith SG. Economic insecurity and intimate partner and sexual violence victimization. Am J Prev Med 2017;53:457–64. https://doi.org/10.1016/j.amepre.2017.03.021 PMID:28501239
  25. Capaldi DM, Knoble NB, Shortt JW, Kim HK. A systematic review of risk factors for intimate partner violence. Partn Abus 2012;3:231–80. https://doi.org/10.1891/1946-6560.3.2.231 PMID:22754606
  26. Golden SD, Perreira KM, Durrance CP. Troubled times, troubled relationships: how economic resources, gender beliefs, and neighborhood disadvantage influence intimate partner violence. J Interpers Violence 2013;28:2134–55. https://doi.org/10.1177/0886260512471083 PMID:23300198
  27. Ricks JL, Cochran SD, Arah OA, Williams JK, Seeman TE. Food insecurity and intimate partner violence against women: results from the California Women’s Health Survey. Public Health Nutr 2016;19:914–23. https://doi.org/10.1017/S1368980015001986 PMID:26096652
  28. Capaldi DM, Knoble NB, Shortt JW, Kim HK. A systematic review of risk factors for intimate partner violence. Partn Abus 2012;3:231–80. https://doi.org/10.1891/1946-6560.3.2.231 PMID:22754606
  29. Pavao J, Alvarez J, Baumrind N, Induni M, Kimerling R. Intimate partner violence and housing instability. Am J Prev Med 2007;32:143–6 . https://doi.org/10.1016/j.amepre.2006.10.008 PMID:17234488
  30. Flores SM, Lyons SM, Carroll T, Zapata D. Race, place, and citizenship: the influence of segregation on Latino educational attainment. Law Inequal 2022;40:69–97.
  31. Ibarra B, Rodriguez E. Closing the wealth gap: eliminating structural barriers to building assets in the Latino community. Harv J Hisp Policy 2006;18:25–38.
  32. Loya J. Racial stratification among Latinos in the mortgage market. Race Soc Probl 2021;14:39–52. https://doi.org/10.1007/s12552-021-09326-3
  33. Kochhar R. The enduring grip of the gender pay gap. Washington, DC: Pew Research Center; 2023. https://www.pewresearch.org/social-trends/2023/03/01/the-enduring-grip-of-the-gender-pay-gap/#how-the-gender-pay-gap-increase-with-age
  34. U.S. Department of Labor. Women’s Bureau. Gender earning ratio and wage gap by race and Hispanic ethnicity. Washington, DC: US Department of Labor, Women’s Bureau; 2023. https://www.dol.gov/agencies/wb/data/earnings/earnings-ratio-wage-gap-race-ethnicity
  35. Crenshaw K. Mapping the margins: intersectionality, identity politics, and violence against women of color. Stanford Law Rev 1991;43:1241–99. https://doi.org/10.2307/1229039
  36. Satter DE, Mercer Kollar LM, O’Gara ‘Djik Sook’ D; Public Health Writing Group on Missing or Murdered Indigenous Persons Various Public Health Experts. American Indian and Alaska Native knowledge and public health for the primary prevention of missing or murdered indigenous persons. Dep Justice J Fed Law Pract 2021;69:149–88. PMID:34734212
  37. Ruíz E. Structural violence: the makings of settler colonial impunity. Oxford, UK: Oxford Academic; 2024.
  38. Ruíz E. Structural trauma. Meridians 2024;23:29–50. https://doi.org/10.1215/15366936-10926944
  39. Wilkins N, Tsao B, Hertz M, Davis R, Klevens J. Connecting the dots: an overview of the links among multiple forms of violence. Atlanta, GA: US Department of Health and Human Services, CDC; 2014. https://www.cdc.gov/elder-abuse/communication-resources/connecting_the_dots-a.pdf
  40. Held ML, Villarreal-Otálora T, McPherson J, Jennings-McGarity P. Politics, pandemics, and trauma: understanding and addressing Latino health needs through a culturally-informed lens. Front Public Health 2022;10:877328. https://doi.org/10.3389/fpubh.2022.877328 PMID:35910919
  41. Blair JM, Fowler KA, Jack SP, Crosby AE. The National Violent Death Reporting System: overview and future directions. Inj Prev 2016;22(Suppl 1):i6–11. https://doi.org/10.1136/injuryprev-2015-041819 PMID:26718549
  42. CDC. National Violent Death Reporting System web coding manual, version 6.0. Atlanta, GA: US Department of Health and Human Services, CDC, National Center for Injury Prevention and Control; 2022. https://www.cdc.gov/nvdrs/resources/nvdrscodingmanual.pdf
  43. Wilson RF, Liu G, Lyons BH, et al. Surveillance for violent deaths—National Violent Death Reporting System, 42 states, the District of Columbia, and Puerto Rico, 2019. MMWR Surveill Summ 2022;71(No. SS-6):1–40. https://doi.org/10.15585/mmwr.ss7106a1 PMID:35588398
  44. World Health Organization. International classification of diseases, tenth revision. Geneva, Switzerland: World Health Organization; 2007. https://icd.who.int/browse10/2019/en
  45. Lyons BH, Walters ML, Jack SPD, Petrosky E, Blair JM, Ivey-Stephenson AZ. Suicides among lesbian and gay male individuals: findings from the National Violent Death Reporting System. Am J Prev Med 2019;56:512–21. https://doi.org/10.1016/j.amepre.2018.11.012 PMID:30898221
  46. McPherson L. Homicides involving American Indian and Alaska Native individuals. JAMA 2022;328:1181–2. https://doi.org/10.1001/jama.2022.14817 PMID:36166017
  47. Messing JT, AbiNader M, Bent-Goodley T, Campbell J. Preventing intimate partner homicide: the long road ahead. Homicide Stud 2021;26:91–105. https://doi.org/10.1177/10887679211048492
  48. Robinson SR, Ravi K, Voth Schrag RJ. A systematic review of barriers to formal help seeking for adult survivors of IPV in the United States, 2005–2019. Trauma Violence Abuse 2021;22:1279–95. https://doi.org/10.1177/1524838020916254 PMID:32266870
  49. Holliday CN, Kahn G, Thorpe RJ Jr, Shah R, Hameeduddin Z, Decker MR. Racial/ethnic disparities in police reporting for partner violence in the National Crime Victimization Survey and survivor-led interpretation. J Racial Ethn Health Disparities 2020;7:468–80. https://doi.org/10.1007/s40615-019-00675-9 PMID:31828687
  50. Messing JT, Campbell J, Webster DW, Brown S, Patchell B, Wilson JS. The Oklahoma Lethality Assessment Study: a quasi-experimental evaluation of the lethality assessment program. Soc Serv Rev 2015;89:499–530. https://doi.org/10.1086/683194
  51. Messing JT, Campbell JC, Ward-Lasher A, Brown S, Patchell B, Sullivan Wilson J. The lethality assessment program. Policing 2016;39:64–77. https://doi.org/10.1108/PIJPSM-08-2015-0094
  52. Messing JT, AbiNader MA, Pizarro JM, Campbell JC, Brown ML, Pelletier KR. The Arizona Intimate Partner Homicide (AzIPH) Study: a step toward updating and expanding risk factors for intimate partner homicide. J Fam Violence 2021;36:563–72. https://doi.org/10.1007/s10896-021-00254-9 PMID:33654342
  53. Muchow AN, Amuedo-Dorantes C. Immigration enforcement awareness and community engagement with police: evidence from domestic violence calls in Los Angeles. J Urban Econ 2020;117:103253. https://doi.org/10.1016/j.jue.2020.103253
  54. Amuedo-Dorantes C, Deza M. Can sanctuary policies reduce domestic violence? Am Law Econ Rev 2022;24:116–70. https://doi.org/10.1093/aler/ahab014
  55. Díez C, Kurland RP, Rothman EF, et al. State intimate partner violence–related firearm laws and intimate partner homicide rates in the United States, 1991 to 2015. Ann Intern Med 2017;167:536–43. https://doi.org/10.7326/M16-2849 PMID:28975202
  56. Kegler SR, Simon TR, Zwald ML, et al. Vital signs: changes in firearm homicide and suicide rates—United States, 2019–2020. MMWR Morb Mortal Wkly Rep 2022;71:656–63. https://doi.org/10.15585/mmwr.mm7119e1 PMID:35550497
  57. Kegler SR Sr, Simon TR, Sumner SA. Notes from the field: firearm homicide rates, by race and ethnicity—United States, 2019–2022. MMWR Morb Mortal Wkly Rep 2023;72:1149–50. https://doi.org/10.15585/mmwr.mm7242a4 PMID:37856328
  58. Morral AR, Ramchand R, Smart R, et al. The science of gun policy: a critical synthesis of research evidence on the effects of gun policies in the United States. 4th ed. Santa Monica, CA: RAND; 2024.
  59. Modest AM, Prater LC, Joseph NT. Pregnancy-associated homicide and suicide: an analysis of the National Violent Death Reporting System, 2008–2019. Obstet Gynecol 2022;140:565–73. https://doi.org/10.1097/AOG.0000000000004932 PMID:36075083
  60. Baird K, Creedy D, Mitchell T. Intimate partner violence and pregnancy intentions: a qualitative study. J Clin Nurs 2017;26:2399–408. https://doi.org/10.1111/jocn.13394 PMID:27219673
  61. CDC. Adverse childhood experiences (ACEs) prevention resource for action: a compilation of the best available evidence. Atlanta, GA: US Department of Health and Human Services, CDC, National Center for Injury Prevention and Control; 2019. https://www.cdc.gov/violenceprevention/pdf/ACEs-Prevention-Resource_508.pdf
  62. Niolon P, Kearns M, Dills J, et al. Preventing intimate partner violence across the lifespan: a technical package of programs, policies, and practices. Atlanta, GA: US Department of Health and Human Services, CDC, National Center for Injury Prevention and Control; 2017. https://stacks.cdc.gov/view/cdc/45820#moretextPAmods.subject_name
  63. Bartel AP, Kim S, Nam J, Rossin-Slater M, Ruhm CJ, Waldfogel J. Monthly labor review. Racial and ethnic disparities in access to and use of paid family and medical leave: evidence from four nationally representative datasets. Washington, DC: US Bureau of Labor Statistics; 2019.
  64. Goodman JM, Williams C, Dow WH. Racial/ethnic inequities in paid parental leave access. Health Equity 2021;5:738–49. https://doi.org/10.1089/heq.2021.0001 PMID:34909544
  65. Eisenman DP, Richardson E, Sumner LA, et al. Intimate partner violence and community service needs among pregnant and postpartum Latina women. Violence Vict 2009;24:111–21. https://doi.org/10.1891/0886-6708.24.1.111 PMID:19297889
  66. Campbell J, Matoff-Stepp S, Velez ML, Cox HH, Laughon K. Pregnancy-associated deaths from homicide, suicide, and drug overdose: review of research and the intersection with intimate partner violence. J Womens Health (Larchmt) 2021;30:236–44. https://doi.org/10.1089/jwh.2020.8875 PMID:33295844
  67. Alvarez C, Fedock G. Addressing intimate partner violence with Latina women: a call for research. Trauma Violence Abuse 2018;19:488–93. https://doi.org/10.1177/1524838016669508 PMID:27651426
  68. Paat Y-F, Hope TL, Mangadu T, Núñez-Mchiri GG, Chavez-Baray SM. Family- and community-related determinants of intimate partner violence among Mexican and Puerto Rican origin mothers in fragile families. Womens Stud Int Forum 2017;62:136–47. https://doi.org/10.1016/j.wsif.2017.05.004
  69. Warner LA, Alegría M, Canino G. Childhood maltreatment among Hispanic women in the United States: an examination of subgroup differences and impact on psychiatric disorder. Child Maltreat 2012;17:119–31. https://doi.org/10.1177/1077559512444593 PMID:22548893
  70. Frias SM, Angel RJ. The risk of partner violence among low-income Hispanic subgroups. J Marriage Fam 2005;67:552–64. https://doi.org/10.1111/j.1741-3737.2005.00153.x
  71. US Census Bureau. Annual estimates of the resident population by sex, race, and Hispanic origin for the United States: April 1, 2020 to July 1, 2022 (NC-EST2022–SR11H). Suitland, MD: US Department of Commerce, US Census Bureau; 2023. https://data.census.gov/table?t=-09&g=010XX00US
  72. Cabral J, Cuevas AG. Health inequities among Latinos/Hispanics: documentation status as a determinant of health. J Racial Ethn Health Disparities 2020;7:874–9. https://doi.org/10.1007/s40615-020-00710-0 PMID:32026286
  73. Suro R, Findling H. Tax equality for immigrants: the indispensable ingredient for remedying child poverty in the United States. J Migr Hum Secur 2021;9:251–70. https://doi.org/10.1177/23315024211034836
  74. Wallace SP, Young MT, Rodríguez MA, Brindis CD. A social determinants framework identifying state-level immigrant policies and their influence on health. SSM Popul Health 2018;7:016–16. PMID:30581960
  75. Zero O, Geary M. COVID-19 and intimate partner violence: a call to action. R I Med J (2013) 2020;103:57–9. PMID:32481784
  76. Sabri B, Campbell JC, Messing JT. Intimate partner homicides in the United States, 2003–2013: a comparison of immigrants and nonimmigrant victims. J Interpers Violence 2021;36:4735–57. https://doi.org/10.1177/0886260518792249 PMID:30095027
  77. Johns MM, Lowry R, Haderxhanaj LT, et al. Trends in violence victimization and suicide risk by sexual identity among high school students—Youth Risk Behavior Survey, United States, 2015–2019. MMWR Suppl 2020;69(Suppl-1):19–27. https://doi.org/10.15585/mmwr.su6901a3 PMID:32817596
  78. Johns MM, Lowry R, Andrzejewski J, et al. Transgender identity and experiences of violence victimization, substance use, suicide risk, and sexual risk behaviors among high school students—19 states and large urban school districts, 2017. MMWR Morb Mortal Wkly Rep 2019;68:67–71. https://doi.org/10.15585/mmwr.mm6803a3 PMID:30677012
  79. Haas AP, Lane A; Working Group for Postmortem Identification of SO/GI. Collecting sexual orientation and gender identity data in suicide and other violent deaths: a step towards identifying and addressing LGBT mortality disparities. LGBT Health 2015;2:84–7. https://doi.org/10.1089/lgbt.2014.0083 PMID:26790023
  80. Haas AP, Lane AD, Blosnich JR, Butcher BA, Mortali MG. Collecting sexual orientation and gender identity information at death. Am J Public Health 2019;109:255–9. https://doi.org/10.2105/AJPH.2018.304829 PMID:30571294
  81. Villenas SA. Ethnographies de lucha (of struggle) in Latino education: toward social movement. Anthropol Educ Q 2012;43:13–9. https://doi.org/10.1111/j.1548-1492.2011.01153.x
  82. Kratz J; US National Archives. El movimiento: the Chicano movement and Hispanic identity in the United States. Washington, DC: US National Archives and Records Administration, US National Archives; 2021. https://prologue.blogs.archives.gov/2021/09/23/el-movimiento-the-chicano-movement-and-hispanic-identity-in-the-united-states/
  83. National Museum of the American Latino. Latino civil rights: Latino history. Washington, DC: National Museum of the American Latino; 2022. https://latino.si.edu/learn/latino-history-and-culture/latino-history/latino-civil-rights
  84. Orozco M, Tareque IS, Oyer P, Porras JI. 2019 state of Latino entrepreneurship. Palo Alto, CA: Stanford Latino Entrepreneurship Initiative; 2019. https://www.gsb.stanford.edu/faculty-research/labs-initiatives/slei/state-latino-entrepreneurship-report
  85. Sanín JR. Women’s empowerment and fight against violence in Latin America. Curr Hist 2023;122:43–8. https://doi.org/10.1525/curh.2023.122.841.43
  86. The White House. White House releases first-of-a-kind indigenous knowledge guidance for Federal agencies [Press release]. Washington, DC: The White House; 2022. https://www.whitehouse.gov/ceq/news-updates/2022/12/01/white-house-releases-first-of-a-kind-indigenous-knowledge-guidance-for-federal-agencies/
  87. Centers for Medicare & Medicaid Services. Biden-Harris administration takes groundbreaking action to expand health care access by covering traditional health care practices [Press release]. Woodlawn, MD: US Department of Health and Human Services, Centers for Medicare & Medicaid Services; 2024. https://www.cms.gov/newsroom/press-releases/biden-harris-administration-takes-groundbreaking-action-expand-health-care-access-covering
  88. Gurrola MA, Ayón C. Immigration policies and social determinants of health: is immigrants’ health at risk? Race Soc Probl 2018;10:209–20. https://doi.org/10.1007/s12552-018-9239-z
  89. Austin AE, Durrance CP, Runyan CW, et al. Affordable housing through the low-income housing tax credit program and intimate partner violence-related homicide. Prev Med 2022;155:106950. https://doi.org/10.1016/j.ypmed.2021.106950 PMID:34974073
  90. US Department of Health and Human Services. National standards for culturally and linguistically appropriate services (CLAS) in health and health care. Washington, DC: US Department of Health and Human Services; 2018. https://thinkculturalhealth.hhs.gov/assets/pdfs/EnhancedNationalCLASStandards.pdf
  91. Vidales GT. Arrested justice: the multifaceted plight of immigrant Latinas who faced domestic violence. J Fam Violence 2010;25:533–44. https://doi.org/10.1007/s10896-010-9309-5
  92. Ortiz-Rodríguez Y, Mooney J. ¿QUE DIRÁN? Making sense of the impact of Latinas’ experiences of intimate partner violence in New York City [Chapter 9]. In: Fitzgibbon K, Walklate S, McCulloch J, Maher J, eds. Intimate partner violence, risk and security: securing women’s lives in a global world. London, United Kingdom: Routledge; 2018:161–77.
  93. Whitaker DJ, Baker CK, Pratt C, et al. A network model for providing culturally competent services for intimate partner violence and sexual violence. Violence Against Women 2007;13:190–209. https://doi.org/10.1177/1077801206296984 PMID:17251505
  94. Cuevas AG, Dawson BA, Williams DR. Race and skin color in Latino health: an analytic review. Am J Public Health 2016;106:2131–6. https://doi.org/10.2105/AJPH.2016.303452 PMID:27736206
  95. Lebron CN, Mitsdarffer M, Parra A, Chavez JV, Behar-Zusman V. Latinas and maternal and child health: research, policy, and representation. Matern Child Health J 2023. Epub April 8, 2023. https://link.springer.com/article/10.1007/s10995-023-03662-z
  96. Quiros L, Dawson BA. The color paradigm: the impact of colorism on the racial identity and identification of Latinas. J Hum Behav Soc Environ 2013;23:287–97. https://doi.org/10.1080/10911359.2012.740342
  97. Torres-Saillant S. Introduction to Dominican blackness. New York, NY: CUNY Dominican Studies Institute; 1999.
  98. Jones CP. Levels of racism: a theoretic framework and a gardener’s tale. Am J Public Health 2000;90:1212–5. https://doi.org/10.2105/AJPH.90.8.1212 PMID:10936998
  99. Erwin DO, Treviño M, Saad-Harfouche FG, Rodriguez EM, Gage E, Jandorf L. Contextualizing diversity and culture within cancer control interventions for Latinas: changing interventions, not cultures. Soc Sci Med 2010;71:693–701. https://doi.org/10.1016/j.socscimed.2010.05.005 PMID:20646810
  100. Adames HY, Chavez-Dueñas NY. Cultural foundations and interventions in Latino/a mental health: history, theory and within group differences. London, United Kingdom: Routledge; 2016.
Return to your place in the textFIGURE. States and jurisdictions participating in the National Violent Death Reporting System, by year of initial data collection* — United States and Puerto Rico, 2003–2021

Abbreviations: DC = District of Columbia; NVDRS = National Violent Death Reporting System; PR = Puerto Rico.

* Map of United States indicates the year in which the state or jurisdiction began collecting data in NVDRS. Beginning in 2019, all 50 U.S. states, the District of Columbia, and Puerto Rico were participating in the system. California began collecting data for a subset of violent deaths in 2005 but ended data collection in 2009; however, in 2017, California resumed collecting data for a subset of violent deaths and expanded coverage in subsequent years. In 2021, California collected data for violent deaths in 31 counties (Amador, Butte, Colusa, Fresno, Glenn, Humboldt, Imperial, Kings, Lake, Lassen, Los Angeles, Mendocino, Merced, Modoc, Mono, Orange, Placer, Sacramento, San Benito, San Diego, San Francisco, San Luis Obispo, San Mateo, Santa Cruz, Shasta, Siskiyou, Solano, Sonoma, Tehama, Ventura, and Yolo) representing 62% of the state’s population. Michigan collected data for a subset of violent deaths during 2010–2013 and expanded to collecting statewide data beginning in 2014. In 2016, Illinois, Pennsylvania, and Washington began collecting data on violent deaths in a subset of counties that represented at least 80% of all violent deaths in their state or in counties. Washington began collecting statewide data for all violent deaths beginning in 2018, and Illinois and Pennsylvania began collecting statewide data beginning in 2020. In 2019, Texas began collecting data for a subset of violent deaths and expanded coverage in subsequent years. In 2021, Texas collected data for violent deaths that occurred in 13 counties (Bell, Bexar, Collin, Dallas, Denton, El Paso, Fort Bend, Harris, Montgomery, Nueces, Tarrant, Travis, and Williamson) representing approximately 63% of the state’s population.

TABLE 1. Number and percentage of intimate partner violence–related homicides* of Hispanic and Latino persons, by victim sex and incident characteristics — National Violent Death Reporting System, 49 states, District of Columbia, and Puerto Rico, 2003–2021Return to your place in the text
Characteristic    Victim sex
Female Male Total
No. (%) No. (%) No. (%)
Homicide with known circumstances (% of total) 3,011 (76.2) 14,726 (71.4) 17,737 (72.2)
IPV-related homicide 1,453 (48.2) 991 (6.7) 2,444 (13.8)
Total 3,954 (16.1) 20,627 (83.9) 24,581 (100.0)

Abbreviation: IPV = intimate partner violence.
* IPV-related homicides were defined as those involving homicides committed by intimate partners (i.e., victim was an intimate partner or spouse [current, former, or unspecified] of the suspect), corollary victims of intimate partner homicide (i.e., other deaths associated with IPV, including homicides of victims who were not the intimate partner, e.g., children, family, friends, others who intervened in IPV, first responders, and bystanders), or homicides precipitated by jealousy or distress over an intimate partner’s relationship or suspected relationship with another person.

TABLE 2. Number and percentage* of intimate partner violence–related homicides of Hispanic and Latino persons, by victim sex and selected demographic and incident characteristics — National Violent Death Reporting System, 49 states, District of Columbia, and Puerto Rico, 2003–2021Return to your place in the text
Characteristic    Victim sex
Female Male Total
No. (%) No. (%) No. (%)
Victim aged ≥18 yrs 1,402 (96.5) 939 (94.8) 2,341 (95.8)
Victims of reproductive age with known pregnancy status§ 359 (31.4) NA NA
Pregnant or ≤1 year postpartum 71 (19.8) NA NA
Age group, yrs
<1 6 (0.4) 7 (0.7) 13 (0.5)
1–9 16 (1.1) 16 (1.6) 32 (1.3)
10–17 29 (2.0) 29 (2.9) 58 (2.4)
18–24 263 (18.1) 234 (23.6) 497 (20.3)
25–34 481 (33.1) 342 (34.5) 823 (33.7)
35–44 377 (26.0) 224 (22.6) 601 (24.6)
45–54 196 (13.5) 88 (8.7) 284 (11.6)
55–64 56 (3.9) 38 (3.8) 94 (3.9)
>64 29 (2.0) 13 (1.3) 42 (1.7)
Race
American Indian or Alaska Native 11 (0.8) 8 (0.8) 19 (0.8)
Asian or Pacific Islander 9 (0.6) 5 (0.5) 14 (0.6)
Black 64 (4.4) 67 (6.8) 131 (5.4)
White 1,150 (79.2) 801 (80.8) 1,951 (79.8)
Two or more races 23 (1.6) 15 (1.5) 38 (1.6)
Other, unspecified, or unknown 196 (13.5) 95 (9.6) 291 (11.9)
Place of birth
United States 836 (57.5) 689 (69.5) 1,525 (62.4)
Outside United States 485 (33.4) 244 (24.6) 729 (29.8)
Missing or unknown 132 (9.1) 58 (5.9) 190 (7.8)
Education**
Less than high school graduate or GED certificate equivalent 339 (24.2) 293 (31.2) 632 (27.0)
High school graduate or GED certificate equivalent 462 (33.0) 342 (36.4) 804 (34.3)
Some college or more 366 (26.1) 139 (14.8) 505 (21.6)
Unknown 235 (16.8) 165 (17.6) 400 (17.1)
Method of injury
Firearm 766 (52.7) 676 (68.2) 1,442 (59.0)
Sharp instrument 382 (26.3) 214 (21.6) 596 (24.4)
Blunt instrument 64 (4.4) 29 (2.9) 93 (3.8)
Personal weapon (e.g., feet and fists) 43 (3.0) 17 (1.7) 60 (2.5)
Hanging, strangulation, or suffocation 143 (9.8) 19 (1.9) 162 (6.6)
Other method 39 (2.7) 31 (3.1) 70 (2.9)
Unknown 16 (1.1) 5 (0.5) 21 (0.9)
Known residence 1,453 (100.0) 990 (99.9) 2,443 (100.0)
Known injury location 1,449 (99.7) 987 (99.6) 2,436 (99.7)
Metropolitan status††
Metropolitan resident 1,260 (86.7) 849 (85.8) 2,109 (86.3)
Metropolitan injury location 1,195 (82.5) 814 (82.5) 2,009 (82.5)
Location of injury††
House or apartment 1,092 (75.2) 542 (54.7) 1,634 (66.9)
Street or highway 83 (5.7) 191 (19.3) 274 (11.2)
Natural area 35 (2.4) 16 (1.6) 51 (2.1)
Motor vehicle 75 (5.2) 80 (8.1) 155 (6.3)
Parking lot, public garage, or public transport 51 (3.5) 66 (6.7) 117 (4.8)
Other location 85 (5.9) 86 (8.7) 171 (7.0)
Unknown 32 (2.2) 10 (1.0) 42 (1.7)
Injured at victim’s home 939 (64.8) 337 (34.1) 1,276 (52.3)
Total 1,453 (59.5) 991 (40.6) 2,444 (100.0)

Abbreviations: GED = General Education Development; IPV = intimate partner violence; NA = not applicable.
* Percentages might not sum to 100% because of rounding.
IPV-related homicides were defined as those involving homicides committed by intimate partners (i.e., victim was an intimate partner or spouse [current, former, or unspecified] of the suspect), corollary victims of intimate partner homicide (i.e., other deaths associated with IPV, including homicides of victims who were not the intimate partner, e.g., children, family, friends, others who intervened in IPV, first responders, and bystanders), or homicides precipitated by jealousy or distress over an intimate partner’s relationship or suspected relationship with another person.
§ Proportion among women of reproductive age (15–44 years; n = 1,444).
Proportion among women of reproductive age (15–44 years) with known pregnancy status.
** Proportion among victims aged ≥18 years at time of death.
†† Proportion among victims with known injury location.

TABLE 3. Suspect characteristics for intimate partner violence–related homicides* of Hispanic and Latino persons, by victim sex — National Violent Death Reporting System, 49 states, District of Columbia, and Puerto Rico, 2003–2021Return to your place in the text
Characteristic    Victim sex
Female Male Total
No. (%)§ No. (%)§ No. (%)§
Suspect age group, yrs
<18 5 (0.3) 36 (3.6) 41 (1.7)
18–24 140 (9.6) 177 (17.9) 317 (13.0)
25–34 388 (26.7) 249 (25.1) 637 (26.1)
35–44 317 (21.8) 142 (14.3) 459 (18.8)
45–54 206 (14.2) 59 (6.0) 265 (10.8)
55–64 97 (6.7) 24 (2.4) 121 (5.0)
>64 258 (17.8) 208 (21.0) 466 (19.1)
Unknown 42 (2.9) 96 (9.7) 138 (5.7)
Suspect sex
Female 28 (2.0) 206 (22.9) 234 (10.1)
Male 1,274 (89.8) 632 (70.1) 1,906 (82.2)
Unknown 116 (8.2) 63 (7.0) 179 (7.7)
Suspect ethnicity
Hispanic or Latino 728 (51.3) 434 (48.2) 1,162 (50.1)
Unknown 430 (30.3) 317 (35.2) 747 (32.2)
Suspect race and ethnicity¶,**
American Indian or Alaska Native 7 (0.5) 6 (0.7) 13 (0.6)
Asian or Pacific Islander 10 (0.7) 8 (0.9) 18 (0.8)
Black 156 (11.0) 90 (10.0) 246 (10.6)
        Hispanic or Latino 26 (16.7) 36 (40.0) 62 (25.2)
        Not Hispanic or Latino or unknown 130 (83.3) 54 (60.0) 184 (74.8)
White 690 (48.7) 440 (48.8) 1,130 (48.7)
        Hispanic or Latino 509 (73.8) 298 (67.7) 807 (71.4)
        Not Hispanic or Latino or unknown 181 (26.2) 142 (32.3) 323 (28.6)
Two or more races 17 (1.2) 7 (0.8) 24 (1.0)
        Hispanic or Latino 13 (76.5) 6 (85.7) 19 (79.2)
        Not Hispanic or Latino or unknown 4 (23.5) 1 (14.3) 5 (20.8)
Other, unspecified, or unknown 538 (37.9) 350 (38.9) 888 (38.3)
        Hispanic or Latino 180 (33.5) 93 (26.6) 273 (30.7)
        Not Hispanic or Latino or unknown 358 (66.5) 257 (73.4) 615 (69.3)
Victim’s relationship to suspect
Intimate partner 1,205 (85.0) 236 (26.2) 1,441 (62.1)
        Current intimate partner 907 (75.3) 188 (79.7) 1,095 (76.0)
        Former intimate partner 256 (21.2) 40 (17.0) 296 (20.5)
Intimate partner, or unknown whether current or former intimate partner 42 (3.5) 8 (3.4) 50 (3.5)
Nonintimate partner (i.e., corollary victim) 87 (6.1) 529 (58.7) 616 (26.6)
Acquaintance or friend 11 (0.8) 129 (14.3) 140 (6.0)
Child 28 (2.0) 44 (4.9) 72 (3.1)
Parent 2 (0.1) 12 (1.3) 14 (0.6)
Other relative 9 (0.6) 17 (1.9) 26 (1.1)
Romantic jealousy 1 (0.1) 64 (7.1) 65 (2.8)
Other known person 32 (2.3) 198 (22.0) 230 (9.9)
Other (e.g., rival gang member, law enforcement, or stranger) 4 (0.3) 65 (7.2) 69 (3.0)
Unknown 126 (8.9) 136 (15.1) 262 (11.3)
IPV-related homicides with known suspects 1,418 (97.6) 901 (90.9) 2,319 (94.9)
Total 1,453 (59.5) 991 (40.6) 2,444 (100.0)

Abbreviation: IPV = intimate partner violence.
* IPV-related deaths were defined as those involving homicides committed by intimate partners (i.e., victim was an intimate partner or spouse [current, former, or unspecified] of the suspect); corollary victims of intimate partner homicide (i.e., other deaths associated with IPV, including homicides of victims who were not the intimate partner, e.g., family, friends, others who intervened in IPV, first responders, and bystanders); or homicides precipitated by jealousy or distress over an intimate partner’s relationship or suspected relationship with another person.
All proportions based on the number of homicides with known suspects.
§ Percentages might not sum to 100% because of rounding.
Hispanic and Latino persons can be of any race.
** Stratification by ethnicity is only shown when the sample size is sufficient (>5 per cell).

TABLE 4. Circumstances of intimate partner violence–related homicides* of Hispanic and Latino persons, by victim sex — National Violent Death Reporting System, 49 states, District of Columbia, and Puerto Rico, 2003–2021Return to your place in the text
Circumstance Victim sex
Female Male Total
No. (%)§ No. (%)§ No. (%)§
IPV-related homicides with known circumstances 1,445 (99.5) 987 (99.6) 2,432 (99.5)
IPV-related homicides with known suspects 1,418 (97.6) 901 (90.9) 2,319 (94.9)
Interpersonal
IPV-related 1,426 (98.7) 858 (86.9) 2,284 (93.9)
Family relationship problem 32 (2.6) 27 (3.3) 59 (2.9)
Other relationship problem (nonintimate) 25 (1.7) 92 (9.3) 117 (4.8)
Jealousy 187 (12.9) 494 (50.1) 681 (28.0)
Victim of IPV during past month 120 (8.3) 16 (1.6) 136 (5.6)
Perpetrator of IPV during past month 11 (0.8) 60 (6.1) 71 (2.9)
Life stressor
Argument or conflict 628 (43.5) 459 (46.5) 1,087 (44.7)
Physical fight (two persons, not a brawl)** 114 (10.6) 176 (24.1) 290 (16.0)
Crisis during previous or upcoming 2 weeks 138 (9.6) 132 (13.4) 270 (11.1)
History of child abuse or neglect 4 (0.3) 2 (0.2) 6 (0.3)
Crime and criminal activity
Precipitated by another crime 137 (9.5) 180 (18.2) 317 (13.0)
Crime in progress†† 65 (47.5) 106 (58.9) 171 (53.9)
Drug involvement 27 (1.9) 45 (4.6) 72 (3.0)
Gang related 22 (1.5) 44 (4.5) 66 (2.7)
Homicide event
Victim used a weapon 15 (1.0) 79 (8.0) 94 (3.9)
Caretaker abuse or neglect led to death** 37 (3.4) 11 (1.5) 48 (2.7)
Brawl 2 (0.1) 26 (2.6) 28 (1.2)
Random violence 7 (0.6) 6 (0.7) 13 (0.6)
Justifiable self-defense 2 (0.1) 47 (4.8) 49 (2.0)
Drive-by shooting 8 (0.6) 60 (6.1) 68 (2.8)
Mentally ill suspect§§ 55 (3.9) 16 (1.8) 71 (3.1)
Walk-by assault** 10 (0.9) 16 (2.2) 26 (1.4)
Victim was a bystander 4 (0.3) 23 (2.5) 29 (1.2)
Victim was an intervener assisting a crime victim 5 (0.4) 15 (1.5) 20 (0.8)
Stalking** 33 (3.1) 16 (2.2) 49 (2.7)
Total 1,453 (59.5) 991 (40.6) 2,444 (100.0)

Abbreviation: IPV = intimate partner violence.
* IPV-related deaths were defined as those involving homicides committed by intimate partners (i.e., victim was an intimate partner or spouse [current, former, or unspecified] of the suspect), corollary victims of intimate partner homicide (i.e., other deaths associated with IPV, including homicides of victims who were not the intimate partner, e.g., family, friends, others who intervened in IPV, first responders, and bystanders), or homicides precipitated by jealousy or distress over an intimate partner’s relationship or suspected relationship with another person.
Proportions are based on the total number of homicides with known circumstances, unless otherwise noted. More than one circumstance can be reported.
§ Percentages might not sum to 100% because of rounding.
Variable collected since 2009. Proportions are based on homicides with known circumstances during 2009–2021 (male = 825; female = 1,222; total = 2,047).
** Variable collected since 2013. Proportions are based on homicides with known circumstances during 2013–2020 (male = 731; female = 1,078; total = 1,809).
†† Proportion based on the number of homicides precipitated by another crime.
§§ Proportion among those homicides with known suspects.


Suggested citation for this article: Treves-Kagan S, Ruvalcaba Y, Corry DT, et al. Intimate Partner Violence–Related Homicides of Hispanic and Latino Persons — National Violent Death Reporting System, United States, 2003–2021. MMWR Surveill Summ 2024;73(No. SS-9):1–17. DOI: http://dx.doi.org/10.15585/mmwr.ss7309a1.

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