Objective To examine whether state-level spending on social and public health services is associated with lower rates of homicide in the USA.
Design Ecological study.
Participants All states in the USA and the District of Columbia for which data were available (n=42).
Primary outcome measure Homicide rates for each state were abstracted from the US Department of Justice Federal Bureau of Investigation’s Uniform Crime Reporting.
Results After adjusting for potential confounding variables, we found that every $10 000 increase in spending per person living in poverty was associated with 0.87 fewer homicides per 100 000 population or approximately a 16% decrease in the average homicide rate (estimate=−0.87, SE=0.15, p<0.001). Furthermore, there was no significant effect in the quartile of states with the highest percentages of individuals living in poverty but significant effects in the quartiles of states with lower percentages of individuals living in poverty.
Conclusions Based on our findings, spending on social and public health services is associated with significantly lower homicide rates at the state level. Although we cannot infer causality from this research, such spending may provide promising avenues for homicide reduction in the USA, particularly among states with lower levels of poverty.
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Strengths and limitations of this study
Our study expands the current literature by examining state-level spending effects on homicide rates across the USA.
This analysis was limited to data from the years 2005 to 2009, and thus lacks the ability to examine longer term effects and may lack generalisability to more current homicide rates.
We cannot infer causality with these data, despite using lagged effects.
We lacked complete data on potentially important confounders, such as percentage of firearm owners.
We were unable to determine the independent effects of each service (eg, housing and education) on homicide rates.
Although homicide rates in the USA are substantially lower today than they were at their peak in 1980, they have shown little decline since the year 2000.1 More than 16 000 homicides occurred in the USA during 20132 at an annual estimated cost of more than $25 billion, including costs due to both medical care and lost productivity.3 Costs may be more than 10 times higher after accounting for other direct costs, including those associated with police investigations, prosecution and imprisonment, as well as indirect costs, such as those associated with economic losses to employers, community trauma and migration out of neighbourhoods prone to high rates of violence.4 People moving from and avoiding high-crime areas weakens local economies, lowers home values, lowers the tax base and ultimately limits capacity to offer quality public schools and needed social services. Additionally, indirect costs of homicide can include mental healthcare and lost productivity for close friends or family of the victim. Survivors are at increased risk for post-traumatic stress disorder, depression and/or prolonged grief disorder.5 Despite efforts throughout the country to reduce homicide, the homicide rate in the USA is seven times higher than other high-income countries.6
Much research has examined the influence of individual-level factors and structural-level factors, such as those pertaining to the social, economic and physical environment, on homicide. Specifically, studies suggest that homicide disproportionately affects young adults ages 15–24 years, males and non-Hispanic black individuals.7–10 Additionally, communities with high minority populations, high unemployment rates and high poverty also tend to have higher homicide rates.11–16 Increased violence has also been associated with lower levels of social capital and increased income inequality.17–19 Furthermore, more restrictive state-level legislation concerning firearms, such as stronger background checks and bans on military-style assault weapons, are associated with less firearm-related violence, including both suicide and homicide.15 16 Homicide rates also appear to be associated with public housing policies,20 early education programmes1 21 and environmental neighbourhood features.22 Together, these findings suggest connections between social determinants of health and violence, as well as the potential influence of state-level policies on violence.
Recent studies suggest that state-level spending on social and public health services may lead to improvements in a variety of health outcomes, including HIV/AIDS, acute myocardial infarction (AMI)mortality and obesity,23 24 but limited recent research has examined its effect on homicide in the USA. Several studies have suggested that greater assistance to the poor is associated with lower homicide rates in the USA,25–29 but much of this research was conducted more than 15 years ago.26 28–31 Given that patterns of contemporary homicide rates in the USA are meaningfully different from those in the 1990s, additional analyses of this relationship are warranted.1 Furthermore, although findings from recent cross-national studies have suggested a significant relationship between welfare support and homicide exists,32 33 another cross-national study found no association between public expenditures, defined as government investment in health and education, and homicide.17 Thus, additional research on this association of social and public health service spending is needed.
Accordingly, we sought to examine the association between rates of homicide and state-level spending on social and public health services from the previous year, such as investments in housing, education and income support. We hypothesised that this spending may result in better quality school systems and thus better educational and economic opportunities for individuals.34 35 Spending on housing may translate into improved residential stability and thus less family disruption and greater social capital.36 37 Spending on the environment and on public safety may result in more safe spaces for recreation and less space for illegal activities. This spending may provide needy individuals with financial assistance, potentially improving health and development;38 39 spending on transportation services may improve mobility within and between communities and opportunities; and spending on community healthcare programmes may result in improved access to healthcare and services.40 We hypothesised these investments may have an important beneficial effect on homicide rates. We also explored whether the relationship between spending and homicide rates varied by percentages of individuals living in poverty. Because ultimately we could not adjust for poverty directly in our multivariable model due to issues with multicollinearity, we sought to disentangle these effects by testing for effect modification. We hypothesised that these associations would be stronger within areas of high poverty than in areas of low poverty, since increases in spending in areas with fewer resources could be more impactful than the same increases in areas with more resources. Thus, we used the most contemporary data available from the National Health Expenditures Data (based on the Centers for Medicare & Medicaid data) and social and public health services spending data from the US Census Bureau. We gathered crime statistics from the US Department of Justice Federal Bureau of Investigation’s Uniform Crime Reporting (UCR). Findings from this state-level analysis may encourage robust social and public health spending efforts among policymakers to reduce violence in the USA.
We conducted an ecological study over 5 years by constructing a dataset that included spending on healthcare services, public health services and social services among the 50 states in the USA and the District of Columbia.23 Spending data were from the years 2004 to 2008, and homicide rates, lagged 1 year, were from the years 2005 to 2009, the most recent 5-year period for which consistent data were available. Because the study uses publicly available, deidentified data, it was deemed exempt from review by the Institutional Review Board at Yale University School of Medicine.
Homicide rates for each state were abstracted from the US Department of Justice Federal Bureau of Investigation’s UCR (http://www.ucrdatatool.gov/Search/Crime/State/StatebyState.cfm) and included the number of murders and non-negligent manslaughters per 100 000 population. Rates excluded deaths caused by negligence, accidental deaths, attempts to kill and suicides.
Social and public health services spending
We calculated the total social and public health services spending per person living in poverty. Social services included primary, secondary and higher education; income supports (eg, cash assistance, general relief for low-income or needs-tests beneficiaries of public welfare programmes); transportation (eg, airports, waterways, vessels and public mass transit systems); environment (eg, sanitation and recreational programming and conservation of natural resources); public safety (eg, law enforcement and fire protection); and housing (eg, aid for public or private housing and community development). These data were obtained from the US Census Bureau Annual Survey of State and Local Government Finances (US Census Bureau, 2014), the Social Security Administration, Administration for Children and Families and the US Department of Agriculture. Public health spending was obtained from the US Census Bureau and included services such as expenditures for public health department activities, regulation for air and water quality and Special Supplemental Nutrition Program for Women Infants, and Children.
We included several covariates based on previous literature.8 12 13 17 33 We gathered data on several demographic and economic factors from the US Census Bureau, including percentages of the population under 18 years old and 65 years and older, percentage of female, percentage of white, percentage of Hispanic, percentage of adults aged 25 years or older with a high school diploma, percentage of population living in urban areas and percentage of individuals living below poverty. We gathered data on unemployment rates from the US Department of Labor and the percentage of children living in single-parent households from National KIDS COUNT (http://datacenter.kidscount.org). We obtained state-level GDP per capita from the US Department of Commerce and Bureau of Economic Analysis and Medicaid expenditure data from the National Health Expenditure Health Account data files maintained by the Centers for Medicare and Medicaid Services.
We first generated means and SD to describe variation across states for the year 2008. We then constructed unadjusted marginal models using repeated measures to test the linear effect of spending on homicide rates, accounting for both the effect of year and for clustering of SD at the state level. We then sought to build a multivariable model with covariates to adjust for potentially confounding variables. We first ran unadjusted models for all covariates and then explored multicollinearity among covariates that were significantly associated with homicide rates in our unadjusted analysis at p values <0.10. We included all potential covariates in linear regression models, stratified by year, to examine variance inflation factors (VIFs). We chose to exclude variables from our final multivariable model with VIF greater than 10 (ie, percentage of individuals living below poverty). We entered our remaining candidate variables into our marginal model and removed any non-significant variables (p>0.05) as long as they did not change current model estimates in order to derive the most parsimonious multivariable model.
Next, we tested whether the relationship between spending and homicide rates varied by percentages of individuals living in poverty. We first centred the spending variable around the mean for each year to reduce multicollinearity in the subsequent models. Next, we divided states into quartiles based on the percentages of individuals living in poverty and then calculated interaction terms by multiplying the dummy variables used to represent each quartile by our centred spending variable. Last, we entered the additional three interaction terms (k–1) and their corresponding main effects in our final adjusted model that included the centred spending variable. We explored the simple effects among each quartile in order to understand differential effects of spending. The simple effects for each poverty quartile were interpreted as the coefficient of the spending variable when that quartile was the reference category and thus equal to 0 in the interaction model.41
We modified our final model to test whether accounting for firearm ownership would alter our findings, as states with higher spending on social and public health services may also be those with more restrictive gun laws. Percentage of firearms owned per state was obtained from the Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance Survey42 43; however, these data were only available within our study period for the year 2004. All models used spending rates and covariates lagged by 1 year to account for proposed time lag between spending and their effects on homicide rates. There were no missing data. All analyses were performed with SPSS V.23.0.
State descriptive statistics
On average, the spending on social and public health services was approximately $61 627 per individual living in poverty in 2008 (table 1), with estimates ranging from $30 780 to $128 050 per individual living in poverty. Homicide rates averaged 4.8 offences per 100 000 population across all states in 2009, ranging from 0.8 to 24.2 offences per 100 000 population.
Association between spending and homicide rates
In our unadjusted analysis, we found that spending on social and public health services was significantly associated with lower homicide rates (estimate=−0.45, SE=0.08, p<0.001; figure 1; table 2). After adjusting for potential confounders, including percentage of female, percentage of white, percentage of children living in single-parent homes and log(GDP per capita), we found that every $10 000 increase in spending per person living in poverty was associated with 0.87 fewer homicides per 100 000 population (estimate=−0.87, SE=0.15, p<0.001) or a decrease of 16.4% of the overall average homicide rate across all states for the years 2005 through 2009 (5.3 offences/100 000 population). A decrease of approximately 16% of the estimated 16 000 homicides that occur annually would result in approximately 2626 fewer deaths in the USA every year.
We also found significant interactions between spending and quartiles of percentages of individuals living in poverty to suggest that the effect of social service and public health spending on homicide rates may be moderated by the percentage of individuals living in poverty (table 3). In the quartile of states with the highest percentages of individuals living in poverty, there was no significant effect of social service and public health spending on homicide rates; however, among the quartiles of states with lower percentages of individuals living in poverty, social service and public health spending had significant effects on homicide.
Additional analyses indicate that although percentage of firearm ownership was not associated with homicide in either our unadjusted model (estimate=−0.019, SE=0.025, p=0.455) or our adjusted model (estimate=−0.019, SE=0.021, p=0.375), it did appear to slightly diminish the association between social and public health service spending (estimate=−0.51, SE=0.260, p=0.056) for the year 2004 (n=49). Furthermore, the adjusted association between social service and public health spending and homicide was consistent with our reported overall model (estimate=−0.87, SE=0.15, p<0.001) when Washington, DC was excluded as an outlier (estimate=−0.60, SE=0.13, p<0.001).
Results of this study indicate that states that invest more per person living in poverty in social and public health services have significantly lower homicide rates in the USA, with the exception of states with the highest percentages of individuals living in poverty. Although we cannot infer causality from this cross-sectional analysis, the magnitude of the effect was substantial. An added investment of $10 000 per person living in poverty was associated with more than 2600 homicides averted in a given year in the USA; however, future research is needed to determine approaches to efficiently and effectively allocate funds among social and public health services to reduce violence in the USA. Based on the conservative estimates that each homicide costs of approximately $1.5 million,3 appropriate investments in social and public health services may be linked to substantial cost savings. Our results echo several international studies that show that countries that spend more in various forms of welfare support have reduced homicide rates,33 44 although one study of international comparisons did not show such an association.17 Our study expands this literature by examining state-level spending effects across the US, suggesting the need to further investigate potential policy levers that may mitigate the devastating and costly rates of homicide in the USA.
In our study, we also find that the effect of social service and public health spending on reduced homicide rates is most prominent among states with less poverty, perhaps where additional resources, such as community-based crime reduction efforts, are available to mitigate crime. We hypothesise that in states with very high poverty rates, social service and public health spending may be insufficient in the absence of other targeted community interventions such as Baltimore’s ‘Safe Streets’, ‘Ceasefire Illinois’ or other similar efforts. Furthermore, social and public health service spending may buffer the impact of poverty on homicide.13 45 The intricacies of this relationship, however, are beyond the scope of this paper.
Our findings should be interpreted in light of some important limitations. First, this analysis was limited to 5 years of data, thus preventing the ability to examine longer term effects. Furthermore, as these findings are based on homicide data from the years 2005 and 2009, they may not be generalisable to more current homicide rates. Additionally, we lacked complete data on potentially important confounders, such as percentage of firearm owners and proportion of female-headed households, which limited our ability to account for this variation across states. We do believe, however, that the proportion of female-headed households is likely similar to the percentage of children living in single-parent homes, which we were able to take into account. Last, because the subcomponents of total social service and public health spending are highly correlated in our sample, we were unable to determine the independent effects of each service (eg, housing, education and public health) on homicide rates and thus are unable to make specific policy recommendations. Given their strong correlation within states, different study designs may be needed to isolate their independent effects. Additional research is needed to determine efficient and effective allocation of funds towards social and public health services in order to improve national health outcomes.
In conclusion, based on our findings, spending on social services and public health initiatives appears to be associated with significantly lower homicide rates and thus may provide promising avenues for homicide reduction in the USA, particularly among states with lower levels of poverty. Despite the limitations of this analysis, results suggest continued investment in social determinants of health46 can have important impacts on health and health behaviours, including violence.
Contributors HLS, MEC, KMT-S, LT and EHB conceptualised the design of the study. MEC and ER gathered the data. HLS and MEC conducted the analyses, and HLS wrote the first draft. All authors contributed to the interpretation of results, revising the paper and approve the final version for submission.
Funding This work was funded by grants from the Robert Wood Johnson Foundation (grant #71531) and Blue Cross Blue Shield of Massachusetts Foundation, Inc.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Data are publicly available; for more details or questions about the analytic dataset, please contact the corresponding author.
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