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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8704773</journal-id><journal-id journal-id-type="pubmed-jr-id">1656</journal-id><journal-id journal-id-type="nlm-ta">Am J Prev Med</journal-id><journal-id journal-id-type="iso-abbrev">Am J Prev Med</journal-id><journal-title-group><journal-title>American journal of preventive medicine</journal-title></journal-title-group><issn pub-type="ppub">0749-3797</issn><issn pub-type="epub">1873-2607</issn></journal-meta><article-meta><article-id pub-id-type="pmid">28153649</article-id><article-id pub-id-type="pmc">5438753</article-id><article-id pub-id-type="doi">10.1016/j.amepre.2016.11.014</article-id><article-id pub-id-type="manuscript">HHSPA849041</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Lifetime Economic Burden of Rape Among U.S. Adults</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Peterson</surname><given-names>Cora</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>DeGue</surname><given-names>Sarah</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Florence</surname><given-names>Curtis</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Lokey</surname><given-names>Colby N.</given-names></name><degrees>MS</degrees></contrib><aff id="A1">National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia</aff></contrib-group><author-notes><corresp id="FN1">Address correspondence to: Sarah DeGue, PhD, Mailstop F-64, 4770 Buford Highway, CDC National Center for Injury Prevention and Control, Atlanta GA 30341. <email>hci2@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>6</day><month>2</month><year>2017</year></pub-date><pub-date pub-type="epub"><day>30</day><month>1</month><year>2017</year></pub-date><pub-date pub-type="ppub"><month>6</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>6</month><year>2017</year></pub-date><volume>52</volume><issue>6</issue><fpage>691</fpage><lpage>701</lpage><!--elocation-id from pubmed: 10.1016/j.amepre.2016.11.014--><abstract><sec id="S1"><title>Introduction</title><p id="P1">This study estimated the per-victim U.S. lifetime cost of rape.</p></sec><sec id="S2"><title>Methods</title><p id="P2">Data from previous studies was combined with current administrative data and 2011 U.S. National Intimate Partner and Sexual Violence Survey data in a mathematical model. Rape was defined as any lifetime completed or attempted forced penetration or alcohol- or drug-facilitated penetration, measured among adults not currently institutionalized. Costs included attributable impaired health, lost productivity, and criminal justice costs from the societal perspective. Average age at first rape was assumed to be 18 years. Future costs were discounted by 3%. The main outcome measures were the average per-victim (female and male) and total population discounted lifetime cost of rape. Secondary outcome measures were marginal outcome probabilities among victims (e.g., suicide attempt) and perpetrators (e.g., incarceration) and associated costs. Analysis was conducted in 2016.</p></sec><sec id="S3"><title>Results</title><p id="P3">The estimated lifetime cost of rape was $122,461 per victim, or a population economic burden of nearly $3.1 trillion (2014 U.S. dollars) over victims&#x02019; lifetimes, based on data indicating &#x0003e;25 million U.S. adults have been raped. This estimate included $1.2 trillion (39% of total) in medical costs; $1.6 trillion (52%) in lost work productivity among victims and perpetrators; $234 billion (8%) in criminal justice activities; and $36 billion (1%) in other costs, including victim property loss or damage. Government sources pay an estimated $1 trillion (32%) of the lifetime economic burden.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Preventing sexual violence could avoid substantial costs for victims, perpetrators, healthcare payers, employers, and government payers. These findings can inform evaluations of interventions to reduce sexual violence.</p></sec></abstract></article-meta></front><body><sec sec-type="intro" id="S5"><title>INTRODUCTION</title><p id="P5">An estimated 19.3% of U.S. women and 1.7% of men have been raped during their lifetime.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Sexual violence victimization is associated with poor short- and long-term physical and mental health outcomes.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup></p><p id="P6">Few studies have quantified the per-victim lifetime economic cost of sexual violence, which at a minimum includes victims&#x02019; impaired health, as well as lost productivity and criminal justice activities. A per-victim cost here refers to the value of a person entirely avoiding a particular exposure. Previous studies have estimated related cost dimensions&#x02014;such as cost per sexual assault incident<sup><xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref></sup>&#x02014;but largely have not accounted for victims&#x02019; long-term health. The aim of this study was to use data from previous studies with current administrative and sexual violence surveillance data to estimate the per-victim U.S. lifetime cost and total population economic burden of rape among adults not currently institutionalized.</p></sec><sec sec-type="methods" id="S6"><title>METHODS</title><p id="P7">Study information reported according to Consolidated Health Economic Evaluation Reporting Standards.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> Model inputs included the number of U.S. adult (aged &#x02265;18 years) women and men with any lifetime (including childhood) and past 12&#x02013;month incidence of rape; selected attributable&#x02014;or marginal&#x02014;health and other outcomes associated with rape from administrative data and previous studies (hereafter, reference studies); and the marginal cost of those outcomes. Marginal outcome refers to the proportion of victims with an outcome beyond the proportion among non-victims, and is used to calculate the attributable cost of rape. Medical, lost work productivity, and criminal justice costs were included. The main outcome measures were:</p><list list-type="order" id="L1"><list-item><p id="P8">lifetime cost of rape per victim; and</p></list-item><list-item><p id="P9">lifetime cost of rape in the U.S. population (or economic burden) of currently non-institutionalized adults (hereafter, U.S. population), calculated as the lifetime cost per victim multiplied by the population number of victims.</p></list-item></list><p id="P10">This analysis used a lifetime time horizon from the societal perspective. Previous studies of lifetime per-person health costs have identified a meaningful age of inception&#x02014;for example, age 6 years for nonfatal child maltreatment<sup><xref rid="R10" ref-type="bibr">10</xref></sup> (estimated cost: $210,012 as 2010 U.S. dollars [USD], or $225,408 as 2014 USD<sup><xref rid="R11" ref-type="bibr">11</xref></sup>) and age 24 years for smoking<sup><xref rid="R12" ref-type="bibr">12</xref></sup> (estimated cost: $220,000 for men and $106,000 for women as 2000 USD, or $292,010 and $139,119 as 2014 USD<sup><xref rid="R11" ref-type="bibr">11</xref></sup>). The authors did not find a robust estimated average age of first rape among victims, although it is known that the age of first completed rape was &#x0003c;18 years for 42% of female victims (and &#x0003c;25 years for 80% of female victims) and &#x0003c;10 years for 25% of male victims.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> The present model assessed lifetime unit costs assuming an average age of first rape victimization of 18 years. Costs incurred after the first year were discounted by 3%<sup><xref rid="R14" ref-type="bibr">14</xref></sup> and presented as 2014 USD, inflated using selected indices.<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R15" ref-type="bibr">15</xref></sup> The analysis was conducted in 2016 and used publicly available data.</p><sec id="S7"><title>Definition and Prevalence of Rape</title><p id="P11">The economic burden estimate is based on the estimated number of currently non-institutionalized men and women who reported having been raped at some point during their lives in the 2011 U.S. National Intimate Partner and Sexual Violence Survey (NISVS)<sup><xref rid="R1" ref-type="bibr">1</xref></sup> (data collection, January&#x02013;December 2011) where rape was defined as completed or attempted penetration of the victim through the use or threats of physical force or when the victim was drunk, high, drugged, or passed out and unable to consent (<xref rid="T1" ref-type="table">Table 1</xref>).</p></sec><sec id="S8"><title>Outcomes and Unit Costs</title><p id="P12">Rape outcomes, identified through a targeted literature search, were included based on reference studies&#x02019; representativeness (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref>, available online). National studies and meta-analyses addressing both male and female victims were prioritized. Outcomes had to be reported in a way that facilitated calculation of victims&#x02019; marginal probability of the outcome; for example, the outcome prevalence among non-victims and an AOR of the relationship between the outcome and respondents&#x02019; experience of rape.<sup><xref rid="R44" ref-type="bibr">44</xref></sup> Studies that assessed outcomes among adult (i.e., aged &#x02265;18 years) respondents and aligned with the NISVS rape definition were prioritized. Unit costs represented the attributable cost of analyzed outcomes, based on direct comparison of affected and unaffected individuals (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 2</xref>, available online). Comprehensive lifetime unit costs that included both medical care and lost work productivity were prioritized. Where only annual unit costs were available, lifetime costs were estimated by multiplying the annual cost over the age range of respondents in the cost reference study (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 3</xref>, available online), bounded by the average assumed age at first rape victimization (i.e., 18 years) and current life expectancy (i.e., 79 years).<sup><xref rid="R45" ref-type="bibr">45</xref></sup> The cost of prevention efforts was excluded.</p><p id="P13">Average annual data from the 2010&#x02013;2014 U.S. National Crime Victimization Survey indicated 10.9% (<italic>n</italic> = 18,012/165,034 survey weighted) of attempted or completed rape victimizations (including male and female victims) involved victim property loss or damage, valued at an average $219 per affected victim (<xref rid="T1" ref-type="table">Table 1</xref>) (U.S. Department of Justice, Bureau of Justice Statistics, personal communication, 2015).</p><p id="P14">Among attempted or completed rape victimizations (N=216,570 surveyed weighted) from annual average 1995&#x02013;2014 National Crime Victimization Survey data, 5.3% of victims were treated for nonfatal injuries in a doctor&#x02019;s office, 12.1% in an emergency department, and 1.0% as inpatients (<xref rid="T1" ref-type="table">Table 1</xref>) (U.S. Department of Justice, Bureau of Justice Statistics, personal communication, 2015). Unit costs were estimated payment for a doctor&#x02019;s visit<sup><xref rid="R16" ref-type="bibr">16</xref></sup> and the discounted lifetime medical cost associated with an emergency department visit or hospital admission for sexual assault (Pacific Institute for Research and Evaluation, personal communication, 2016) (<xref rid="T1" ref-type="table">Table 1</xref>). In 2011, there were an estimated 18 murders associated with rape crimes (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref>, available online).<sup><xref rid="R17" ref-type="bibr">17</xref></sup> Unit costs were based on an estimated lifetime cost of medical care and lost productivity due to homicide.<sup><xref rid="R18" ref-type="bibr">18</xref></sup></p><p id="P15">Data from a national sample of women (N=3,031 respondents) indicated that 4.8% of completed penetration rape victims experienced rape-related pregnancy (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R19" ref-type="bibr">19</xref></sup> Among a small sample of rape-related pregnancies (N=34), 11.3% resulted in spontaneous abortion, 50.0% in medically assisted abortion, 32.3% of women kept the baby, and 5.9% of women gave the baby up for adoption.<sup><xref rid="R19" ref-type="bibr">19</xref></sup> Unit costs were estimated payments for medical treatment for spontaneous abortion,<sup><xref rid="R23" ref-type="bibr">23</xref></sup> medically assisted abortion,<sup><xref rid="R22" ref-type="bibr">22</xref></sup> pregnancy and delivery,<sup><xref rid="R20" ref-type="bibr">20</xref></sup> and the public payer cost of adoption from age 0 to 18 years (i.e., social services)<sup><xref rid="R21" ref-type="bibr">21</xref></sup> applied to the estimated proportion of women with rape-related pregnancy by outcome among those with lifetime experience of completed penetration rape among all women victims of attempted and completed rape in 2011 NISVS (<italic>n</italic>=13,826,000/23,305,000, or 59%) (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R1" ref-type="bibr">1</xref></sup></p><p id="P16">Female victims of intimate partner rape aged &#x02265;18 years (N=322,230 victimizations, survey weighted) documented in the National Violence Against Women Survey was calculated as an average 3.6 productive days missed per victim (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 2</xref> [available online] provides calculations).<sup><xref rid="R46" ref-type="bibr">46</xref></sup> This number of days was multiplied by an estimated U.S. population (aged &#x02265;15 years) daily production value<sup><xref rid="R24" ref-type="bibr">24</xref></sup> to estimate the value of short-term lost productivity due to rape ($516 in 2014 USD) (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P17">Funding for victims&#x02019; services through the criminal justice system at the federal, state, and local levels&#x02014;including U.S. Department of Justice grants and Violence Against Women Act (Title IV, P.L. 103-322)<sup><xref rid="R47" ref-type="bibr">47</xref></sup> funding&#x02014;are comprehensively included in the criminal justice estimates through a top-down accounting approach (<xref rid="SD2" ref-type="supplementary-material">Appendix</xref> reports calculation details, available online). This approach was deemed the best use of available data, but means the authors could not identify the cost of individual victim services (e.g., rape kit processing). Although previous studies have estimated the cost of annual victim services for two state governments,<sup><xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> it was determined infeasible to comprehensively and accurately assess the proportion of victims accessing services and the cost of response (as opposed to prevention) services per victim using a bottom-up accounting approach.</p><p id="P18">A meta-analysis of studies published in 1980&#x02013;2008 indicated significantly higher observed prevalence of mental health outcomes&#x02014;anxiety, depression, eating disorder, post-traumatic stress disorder, and suicide attempt&#x02014;among adolescent and adult respondents with lifetime (primarily childhood) experience of sexual abuse (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R2" ref-type="bibr">2</xref></sup> The proportion of nonfatal suicide attempts requiring medical care was estimated using data for men (59.0% of attempts) and women (31.1% of attempts) in a separate national sample study of adolescent rape victims.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> Unit costs were estimated lost work productivity and medical costs for anxiety disorder,<sup><xref rid="R25" ref-type="bibr">25</xref></sup> major depressive disorder,26 eating disorders,<sup><xref rid="R27" ref-type="bibr">27</xref></sup> post-traumatic stress disorder,<sup><xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> and medically serious nonfatal suicide attempts<sup><xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P19">The 2005 Behavioral Risk Factor Surveillance System survey indicated significantly higher observed prevalence of excess alcohol and tobacco use among adults (aged &#x02265;18 years, N=115,030 respondents) with lifetime experience of unwanted attempted or completed sex (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R3" ref-type="bibr">3</xref></sup> Unit costs were attributable estimated lost work productivity and medical costs for excess alcohol use<sup><xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup> and smoking<sup><xref rid="R12" ref-type="bibr">12</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>). The 1990&#x02013;1992 National Comorbidity Survey documented significantly higher prevalence of drug problems among adults (aged &#x02265;15 years, N=5,877 respondents) who were raped or molested during childhood or adolescence (<xref rid="T1" ref-type="table">Table 1</xref>),<sup><xref rid="R33" ref-type="bibr">33</xref></sup> supporting other research among a national sample of women.<sup><xref rid="R48" ref-type="bibr">48</xref>,<xref rid="R49" ref-type="bibr">49</xref></sup> Unit costs were estimated lost productivity and medical costs<sup><xref rid="R34" ref-type="bibr">34</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P20">The 2005 Behavioral Risk Factor Surveillance System data indicated significantly higher observed prevalence of asthma and joint conditions among sexual violence victims (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R3" ref-type="bibr">3</xref></sup> Unit costs were estimated lost work productivity and medical payments for asthma<sup><xref rid="R36" ref-type="bibr">36</xref></sup> and joint pain<sup><xref rid="R39" ref-type="bibr">39</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>). Kentucky Women&#x02019;s Health Registry data indicated significantly higher observed prevalence of cervical cancer among women (aged &#x02265;15 years, N=4,732 respondents) with lifetime forced sexual experiences (<xref rid="T1" ref-type="table">Table 1</xref>).<sup><xref rid="R37" ref-type="bibr">37</xref></sup> Unit costs were estimated medical payments<sup><xref rid="R38" ref-type="bibr">38</xref></sup> and lost productivity<sup><xref rid="R38" ref-type="bibr">38</xref></sup> attributable to cancer, assigned among the estimated number of women with lifetime completed penetration rape in 2011 U.S. NISVS (<italic>n</italic>=13,826,000) (<xref rid="T1" ref-type="table">Table 1</xref>). A U.S. health plan study indicated a higher observed prevalence of sexually transmitted infections among adults (aged &#x02265;19 years, N=9,323 respondents) who experienced attempted or completed rape during childhood or adolescence (age &#x02264; 18 years)<sup><xref rid="R40" ref-type="bibr">40</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>). Unit cost were estimated medical costs<sup><xref rid="R41" ref-type="bibr">41</xref>,<xref rid="R42" ref-type="bibr">42</xref></sup> and lost work productivity<sup><xref rid="R43" ref-type="bibr">43</xref></sup> (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P21">An attribution method was used to estimate the per-victim discounted lifetime average criminal justice cost associated with sexual violence among total annual U.S. government criminal justice spending (<xref rid="T2" ref-type="table">Table 2</xref> and <xref rid="SD2" ref-type="supplementary-material">Appendix</xref> [available online]).<sup><xref rid="R50" ref-type="bibr">50</xref></sup> Lost productivity due to incarceration is the annual production value of the U.S. non-institutional population multiplied by the average estimated number of years sexual violence perpetrators are incarcerated (<xref rid="T1" ref-type="table">Tables 1</xref> and <xref rid="T2" ref-type="table">2</xref>, <xref rid="SD2" ref-type="supplementary-material">Appendix</xref> [available online]).</p></sec><sec id="S9"><title>Analysis</title><p id="P22">The marginal probability of selected outcomes was multiplied by associated unit costs to estimate the per-person lifetime cost of rape, separately for men and women. The sex-specific, per-person estimated cost of rape was multiplied by the estimated number of men and women with lifetime experience of rape to estimate the total U.S. lifetime burden of rape. Government costs were assessed as the sum of criminal justice and adoption costs, plus the estimated government share of all medical spending (i.e., 59.8%).<sup><xref rid="R63" ref-type="bibr">63</xref></sup></p></sec></sec><sec sec-type="results" id="S10"><title>RESULTS</title><p id="P23">The present-value, per-victim estimated lifetime cost of rape was $122,461, or $3.1 trillion for all victims, based given new information about victim outcomes or unit on 23 million U.S. women and 2 million men with costs. Barring substantial changes to the per-victim cost lifetime experience of rape (<xref rid="T1" ref-type="table">Table 1</xref>).</p></sec><sec sec-type="discussion" id="S11"><title>DISCUSSION</title><p id="P24">The per-victim lifetime cost of rape ($122,461) can be interpreted as the cost averted for each potential victim who avoids rape. The per-victim estimate could change given new information about victim outcomes or unit costs. Barring substantial changes to the per-victim cost estimate, the lifetime economic burden of rape estimate ($3.1 trillion) will remain relatively stable; this estimate reflects the per-victim cost multiplied by the number of U.S. adults with lifetime experience of rape, and such a large population experiences modest incremental demographic changes. The estimated number of victims with rape experience in the past 12 months had a minor impact on the economic burden through the criminal justice and fatalities estimates. The economic burden represents costs over victims&#x02019; lifetimes. Though the authors do not know what proportion of victims in the previous 12 months (an estimated 1,929,000 women1 and 219,000 men [unpublished data]) were first-time victimizations, applying this study&#x02019;s per-victim cost estimate to that annual number of victims yields an approximate annual economic burden of $263 billion.</p><p id="P25">The per-victim estimate is the minimal identifiable cost of rape. This study did not include non-monetary elements, sometimes presented as intangible costs&#x02014;a monetized version of victims&#x02019; pain and suffering.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> Previous studies have estimated the per-offense cost of rape and sexual assault to be $87,000 (1993 USD) to $240,776 (2008 USD) (or approximately $130,775 to $263,772 as 2014 USD<sup><xref rid="R11" ref-type="bibr">11</xref></sup>), of which 80% to 95% were intangible costs.<sup><xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> Recognizing victims&#x02019; pain and suffering is unquestionably important, but must be weighed against the conceptual and computational challenges of monetizing pain and suffering.<sup><xref rid="R64" ref-type="bibr">64</xref></sup> Costs to victims&#x02019; and perpetrators&#x02019; friends and families, and costs of other forms of sexual violence (e.g., being made to penetrate or sexual coercion) were not included. NISVS estimates do not include the currently institutionalized population, though would capture experiences among the previously institutionalized. Health outcomes that could be linked to specific attributable costs were included, though activity limitations, gastrointestinal symptoms, high cholesterol, HIV risk factors, non-specific pain, overweight, and urinary problems have higher prevalence among sexual violence victims.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R65" ref-type="bibr">65</xref>,<xref rid="R66" ref-type="bibr">66</xref></sup> Many lost productivity unit estimates included only employed respondents, and valued respondents&#x02019; productivity using the human capital approach (i.e., lost wages). This approach, though commonly used, undervalues lost productivity overall and undervalues female losses, in particular, because women are often paid less than men. Many lost productivity estimates did not include mortality. Long-term lost productivity among rape victims not diagnosed with any of the analyzed outcomes was not included.</p><p id="P26">Discounting assumed victims&#x02019; age at first rape was 18 years, which underestimates/overestimates costs among victims with first rape at age &#x0003c;18 years/&#x0003e; 18 years. If one instead applies the average age of rape victimizations among adolescents and adults&#x02014;27 years<sup><xref rid="R67" ref-type="bibr">67</xref></sup>&#x02014;the estimated cost per victim decreases modestly to $119,277, with a population economic burden still exceeding $3 trillion. Too few reference study estimates included measures of dispersion for a meaningful probabilistic sensitivity analysis (<xref rid="SD2" ref-type="supplementary-material">Appendix Tables 1 and 2</xref>, available online). Based on available data, the authors have not included the medical cost of follow-up visits for sexually transmitted infection testing that takes place after an initial medical visit for rape treatment. Identifiable double counting of costs includes the following: HIV costs appear in both sexually transmitted infection and illicit drug use unit costs, and some costs for anxiety and drug and alcohol dependence are included in the depression unit cost (<xref rid="SD2" ref-type="supplementary-material">Appendix Tables 1 and 2</xref>, available online). Substance use constitutes approximately a quarter of the per-victim cost; crime costs are a major component of contributing unit costs for substance abuse, and a small portion (&#x0003c;1%) of those unit costs included research and prevention activities related to alcohol and drugs.<sup><xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R34" ref-type="bibr">34</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup> Some reference studies focused on outcomes exclusively among adults who experienced childhood rape (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref>, available online). The cost of some lifetime experiences was inferred from available annual cost data (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 3</xref>, available online), which implicitly assumes an accurate distribution of patients at all stages of a particular outcome (i.e., acute, recurring, remission) in reference studies&#x02019; annual estimates.</p><sec id="S12"><title>Limitations</title><p id="P27">This study is notably limited by inexact timelines related to rape occurrence during victims&#x02019; lifetimes, number of rape incidents per victim, number of victims per perpetrator, onset of attributable health outcomes, and treatment of those outcomes. This study&#x02019;s estimates are per victim, rather than per victimization, which certainly underestimates consequences among some victims and the acute costs associated with victimization.<sup><xref rid="R68" ref-type="bibr">68</xref></sup> Another major limitation is that this study assumed that rape is the cause of victims&#x02019; higher observed prevalence of health-related conditions, although the status of these conditions as risk factors for, correlates with, or outcomes of sexual violence is complex.<sup><xref rid="R69" ref-type="bibr">69</xref></sup> Future analysis of longitudinal data identifying sexual violence and health outcomes might address these issues, along with issues related to timing of rape exposure and the effects of multiple victimizations.</p></sec></sec><sec sec-type="conclusions" id="S13"><title>CONCLUSIONS</title><p id="P28">Despite limitations, this study&#x02019;s economic burden estimate included more comprehensive information on victims&#x02019; lifetime mental and physical health than previous estimates. This study incorporated new national surveillance data from NISVS indicating rape affects many times more individuals than other sources have suggested previously. These findings can inform evaluations of interventions to prevent sexual violence, identifying cost-effective approaches to eliminate rape and its substantial impact on public health.</p></sec><sec sec-type="supplementary-material" id="S14"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD2"><label>1</label><media xlink:href="NIHMS849041-supplement-1.xlsx" orientation="portrait" xlink:type="simple" id="d36e618" position="anchor"/></supplementary-material><supplementary-material content-type="local-data" id="SD3"><label>2</label><media xlink:href="NIHMS849041-supplement-2.xlsx" orientation="portrait" xlink:type="simple" id="d36e622" position="anchor"/></supplementary-material><supplementary-material content-type="local-data" id="SD4"><label>3</label><media xlink:href="NIHMS849041-supplement-3.xlsx" orientation="portrait" xlink:type="simple" id="d36e626" position="anchor"/></supplementary-material><supplementary-material content-type="local-data" id="SD5"><label>4</label><media xlink:href="NIHMS849041-supplement-4.pdf" orientation="portrait" xlink:type="simple" id="d36e630" position="anchor"/></supplementary-material></sec></body><back><ack id="S15"><p>Authors acknowledge Michelle Berlin, Kathryn McCollister, and Manon Ruben for their contributions to a literature review of the health consequences and costs of sexual violence victimization conducted to support this study through Centers for Disease Control and Prevention contract 200-2012-F-53476 to Quality Resource Systems Inc. Authors acknowledge Jenna Truman and Lynn Langton at the U.S. Department of Justice, Bureau of Justice Statistics, for assistance with data from the National Crime Victimization Survey. Authors acknowledge Bruce A. Lawrence at the Pacific Institute for Research and Evaluation for unpublished cost estimates of medical treatment (emergency department and hospitalization) for rape.</p><p>The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></ack><fn-group><fn id="FN2" fn-type="con"><p>Cora Peterson led the study design and interpretation of results, conducted data analysis, drafted and edited the manuscript, and approved the final manuscript as submitted. Sarah DeGue conceptualized the study design, led a literature review to inform the analyses, assisted with interpretation of results, edited the manuscript, and approved the final manuscript as submitted. Curtis Florence assisted with the study design and interpretation of results, edited the manuscript, and approved the final manuscript as submitted. Colby Lokey assisted with the study design and interpretation of results, assisted with a literature review to inform the analyses, edited the manuscript, and approved the final manuscript as submitted.</p></fn><fn id="FN3" fn-type="financial-disclosure"><p>No financial disclosures were reported by the authors of this paper.</p></fn><fn id="FN4" fn-type="supplementary-material"><p><bold>SUPPLEMENTAL MATERIAL</bold></p><p>Supplemental materials associated with this article can be found in the online version at <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.amepre.2016.11.014">http://dx.doi.org/10.1016/j.amepre.2016.11.014</ext-link></p></fn></fn-group><ref-list><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Breiding</surname><given-names>MJ</given-names></name><name><surname>Smith</surname><given-names>SG</given-names></name><name><surname>Basile</surname><given-names>KC</given-names></name><name><surname>Walters</surname><given-names>ML</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Merrick</surname><given-names>MT</given-names></name></person-group><article-title>Prevalence and characteristics of sexual violence, stalking, and intimate partner violence victimization&#x02014; National Intimate Partner and Sexual Violence Survey, United States 2011</article-title><source>MMWR Surveill Summ</source><year>2014</year><volume>63</volume><issue>8</issue><fpage>1</fpage><lpage>18</lpage></element-citation></ref><ref id="R2"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>LP</given-names></name><name><surname>Murad</surname><given-names>MH</given-names></name><name><surname>Paras</surname><given-names>ML</given-names></name><etal/></person-group><article-title>Sexual abuse and lifetime diagnosis of psychiatric disorders: systematic review and meta-analysis</article-title><source>Mayo Clin Proc</source><year>2010</year><volume>85</volume><issue>7</issue><fpage>618</fpage><lpage>629</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4065/mcp.2009.0583">http://dx.doi.org/10.4065/mcp.2009.0583</ext-link></comment><pub-id pub-id-type="pmid">20458101</pub-id></element-citation></ref><ref id="R3"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smith</surname><given-names>SG</given-names></name><name><surname>Breiding</surname><given-names>MJ</given-names></name></person-group><article-title>Chronic disease and health behaviours linked to experiences of non-consensual sex among women and men</article-title><source>Public Health</source><year>2011</year><volume>125</volume><issue>9</issue><fpage>653</fpage><lpage>659</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.puhe.2011">http://dx.doi.org/10.1016/j.puhe.2011</ext-link></comment><pub-id pub-id-type="pmid">21855097</pub-id></element-citation></ref><ref id="R4"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>McCollister</surname><given-names>KE</given-names></name><name><surname>French</surname><given-names>MT</given-names></name><name><surname>Fang</surname><given-names>H</given-names></name></person-group><article-title>The cost of crime to society: new crime-specific estimates for policy and program evaluation</article-title><source>Drug Alcohol Depend</source><year>2010</year><volume>108</volume><issue>1-2</issue><fpage>98</fpage><lpage>109</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.drugalcdep.2009.12.002">http://dx.doi.org/10.1016/j.drugalcdep.2009.12.002</ext-link></comment><pub-id pub-id-type="pmid">20071107</pub-id></element-citation></ref><ref id="R5"><label>5</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Miller</surname><given-names>T</given-names></name><name><surname>Taylor</surname><given-names>D</given-names></name><name><surname>Sheppard</surname><given-names>M</given-names></name></person-group><source>Costs of Sexual Violence in Minnesota</source><publisher-loc>St Paul, MN</publisher-loc><publisher-name>Minnesota Department of Health</publisher-name><year>2007</year></element-citation></ref><ref id="R6"><label>6</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Miller</surname><given-names>TR</given-names></name><name><surname>Cohen</surname><given-names>MA</given-names></name><name><surname>Wiersema</surname><given-names>B</given-names></name></person-group><source>Victim Costs and Consequences: A New Look</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>National Institute of Justice, Office of Justice Programs, U.S. Department of Justice</publisher-name><year>1996</year></element-citation></ref><ref id="R7"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Miller</surname><given-names>TR</given-names></name><name><surname>Cohen</surname><given-names>MA</given-names></name><name><surname>Rossman</surname><given-names>SB</given-names></name></person-group><article-title>Victim costs of violent crime and resulting injuries</article-title><source>Health Aff (Millwood)</source><year>1993</year><volume>12</volume><issue>4</issue><fpage>186</fpage><lpage>197</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1377/hlthaff.12.4.186">http://dx.doi.org/10.1377/hlthaff.12.4.186</ext-link></comment></element-citation></ref><ref id="R8"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Miller</surname><given-names>TR</given-names></name><name><surname>Zhang</surname><given-names>N</given-names></name><name><surname>LeHew</surname><given-names>B</given-names></name><name><surname>Peek-Asa</surname><given-names>C</given-names></name></person-group><article-title>Incidence and cost of sexual violence in Iowa</article-title><source>Am J Prev Med</source><year>2014</year><volume>47</volume><issue>2</issue><fpage>198</fpage><lpage>202</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.amepre.2014.04.005">http://dx.doi.org/10.1016/j.amepre.2014.04.005</ext-link></comment><pub-id pub-id-type="pmid">24930620</pub-id></element-citation></ref><ref id="R9"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Husereau</surname><given-names>D</given-names></name><name><surname>Drummond</surname><given-names>M</given-names></name><name><surname>Petrou</surname><given-names>S</given-names></name><etal/></person-group><article-title>Consolidated Health Economic Evaluation Reporting Standards (CHEERS)&#x02014;explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force</article-title><source>Value Health</source><year>2013</year><volume>16</volume><issue>2</issue><fpage>231</fpage><lpage>250</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jval.2013.02.002">http://dx.doi.org/10.1016/j.jval.2013.02.002</ext-link></comment><pub-id pub-id-type="pmid">23538175</pub-id></element-citation></ref><ref id="R10"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname><given-names>X</given-names></name><name><surname>Brown</surname><given-names>DS</given-names></name><name><surname>Florence</surname><given-names>CS</given-names></name><name><surname>Mercy</surname><given-names>JA</given-names></name></person-group><article-title>The economic burden of child maltreatment in the United States and implications for prevention</article-title><source>Child Abuse Negl</source><year>2012</year><volume>36</volume><issue>2</issue><fpage>156</fpage><lpage>165</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/chiabu.2011.10.006">http://dx.doi.org/10.1016/chiabu.2011.10.006</ext-link></comment><pub-id pub-id-type="pmid">22300910</pub-id></element-citation></ref><ref id="R11"><label>11</label><element-citation publication-type="web"><collab>U.S. Bureau of Economic Analysis</collab><article-title>Table 1.1.4: Price indexes for gross domestic product</article-title><date-in-citation>December 28, 2015</date-in-citation><comment><ext-link ext-link-type="uri" xlink:href="www.bea.gov/itable/">www.bea.gov/itable/</ext-link>. Published December 22, 2015</comment></element-citation></ref><ref id="R12"><label>12</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Sloan</surname><given-names>F</given-names></name><name><surname>Ostermann</surname><given-names>J</given-names></name><name><surname>Picone</surname><given-names>G</given-names></name><name><surname>Conover</surname><given-names>C</given-names></name><name><surname>Taylor</surname><given-names>D</given-names></name></person-group><source>The Price of Smoking</source><publisher-loc>Cambridge, MA</publisher-loc><publisher-name>MIT Press</publisher-name><year>2004</year></element-citation></ref><ref id="R13"><label>13</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Black</surname><given-names>MC</given-names></name><name><surname>Basile</surname><given-names>KC</given-names></name><name><surname>Breiding</surname><given-names>MJ</given-names></name><etal/></person-group><source>The National Intimate Partner and Sexual Violence Survey (NISVS) 2010 Summary Report</source><publisher-loc>Atlanta, GA</publisher-loc><publisher-name>National Center for Injury Prevention and Control, CDC</publisher-name><year>2011</year></element-citation></ref><ref id="R14"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gold</surname><given-names>M</given-names></name></person-group><article-title>Panel on cost-effectiveness in health and medicine</article-title><source>Med Care</source><year>1996</year><volume>34</volume><issue>12(suppl)</issue><fpage>DS197</fpage><lpage>D199</lpage><pub-id pub-id-type="pmid">8969326</pub-id></element-citation></ref><ref id="R15"><label>15</label><element-citation publication-type="web"><collab>U.S. Bureau of Economic Analysis</collab><article-title>Table 2.5.4: Price indexes for personal consumption expenditures by function</article-title><date-in-citation>December 28 2015</date-in-citation><comment><ext-link ext-link-type="uri" xlink:href="www.bea.gov/itable/">www.bea.gov/itable/</ext-link>. Published August 6 2015</comment></element-citation></ref><ref id="R16"><label>16</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Machlin</surname><given-names>SR</given-names></name><name><surname>Adams</surname><given-names>SA</given-names></name></person-group><source>Statistical Brief #484: Expenses for Office-Based Physician Visits by Specialty, 2013</source><publisher-loc>Rockville, MD</publisher-loc><publisher-name>Agency for Healthcare Research and Quality</publisher-name><year>2015</year></element-citation></ref><ref id="R17"><label>17</label><element-citation publication-type="book"><collab>U.S. Federal Bureau of Investigation</collab><source>Table 12. Expanded homicide data&#x02014;murder circumstances 2009&#x02013;2013</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2013</year></element-citation></ref><ref id="R18"><label>18</label><element-citation publication-type="web"><collab>Centers for Disease Control and Prevention (CDC)</collab><source>Web-based Injury Statistics Query and Reporting System (WISQARS), cost of injury reports 2010, both sexes, all ages, United States</source><comment><ext-link ext-link-type="uri" xlink:href="www.cdc.gov/injury/wisqars/index.html">www.cdc.gov/injury/wisqars/index.html</ext-link> Published 2010</comment></element-citation></ref><ref id="R19"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Holmes</surname><given-names>MM</given-names></name><name><surname>Resnick</surname><given-names>HS</given-names></name><name><surname>Kilpatrick</surname><given-names>DG</given-names></name><name><surname>Best</surname><given-names>CL</given-names></name></person-group><article-title>Rape-related pregnancy: estimates and descriptive characteristics from a national sample of women</article-title><source>Am J Obstet Gynecol</source><year>1996</year><volume>175</volume><issue>2</issue><fpage>320</fpage><lpage>324</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/S0002-9378(96)70141-2">http://dx.doi.org/10.1016/S0002-9378(96)70141-2</ext-link></comment><pub-id pub-id-type="pmid">8765248</pub-id></element-citation></ref><ref id="R20"><label>20</label><element-citation publication-type="book"><collab>Truven Health Analytics</collab><source>The Cost of Having a Baby in the United States</source><publisher-loc>Ann Arbor, MI</publisher-loc><publisher-name>Truven Health Analytics</publisher-name><year>2013</year></element-citation></ref><ref id="R21"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barth</surname><given-names>R</given-names></name><name><surname>Chung</surname><given-names>K</given-names></name><name><surname>Wildfire</surname><given-names>J</given-names></name><name><surname>Shenyang</surname><given-names>G</given-names></name></person-group><article-title>A comparison of the governmental costs of long-term foster care and adoption</article-title><source>Soc Serv Rev</source><year>2006</year><volume>80</volume><issue>1</issue><fpage>127</fpage><lpage>158</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1086/499339">http://dx.doi.org/10.1086/499339</ext-link></comment></element-citation></ref><ref id="R22"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jerman</surname><given-names>J</given-names></name><name><surname>Jones</surname><given-names>RK</given-names></name></person-group><article-title>Secondary measures of access to abortion services in the United States 2011 and 2012 gestational age limits, cost, and harassment</article-title><source>Womens Health Issues</source><year>2014</year><volume>24</volume><issue>4</issue><fpage>e419</fpage><lpage>e424</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.whi.2014.05.002">http://dx.doi.org/10.1016/j.whi.2014.05.002</ext-link></comment><pub-id pub-id-type="pmid">24981401</pub-id></element-citation></ref><ref id="R23"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jerman</surname><given-names>J</given-names></name><name><surname>Jones</surname><given-names>RK</given-names></name></person-group><article-title>Secondary measures of access to abortion services in the United States 2011 and 2012: gestational age limits, cost, and harassment</article-title><source>Womens Health Issues</source><year>2014</year><volume>24</volume><issue>4</issue><fpage>e419</fpage><lpage>e424</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.whi.2014.05.002">http://dx.doi.org/10.1016/j.whi.2014.05.002</ext-link></comment><pub-id pub-id-type="pmid">24981401</pub-id></element-citation></ref><ref id="R24"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Grosse</surname><given-names>SD</given-names></name><name><surname>Krueger</surname><given-names>KV</given-names></name><name><surname>Mvundura</surname><given-names>M</given-names></name></person-group><article-title>Economic productivity by age and sex: 2007 estimates for the United States</article-title><source>Med Care</source><year>2009</year><volume>47</volume><issue>7(suppl 1)</issue><fpage>S94</fpage><lpage>S103</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1097/MLR.0b013e31819c9571">http://dx.doi.org/10.1097/MLR.0b013e31819c9571</ext-link></comment><pub-id pub-id-type="pmid">19536021</pub-id></element-citation></ref><ref id="R25"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Greenberg</surname><given-names>PE</given-names></name><name><surname>Sisitsky</surname><given-names>T</given-names></name><name><surname>Kessler</surname><given-names>RC</given-names></name><etal/></person-group><article-title>The economic burden of anxiety disorders in the 1990s</article-title><source>J Clin Psychiatry</source><year>1999</year><volume>60</volume><issue>7</issue><fpage>427</fpage><lpage>435</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4088/JCP.v60n0702">http://dx.doi.org/10.4088/JCP.v60n0702</ext-link></comment><pub-id pub-id-type="pmid">10453795</pub-id></element-citation></ref><ref id="R26"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Greenberg</surname><given-names>PE</given-names></name><name><surname>Fournier</surname><given-names>AA</given-names></name><name><surname>Sisitsky</surname><given-names>T</given-names></name><name><surname>Pike</surname><given-names>CT</given-names></name><name><surname>Kessler</surname><given-names>RC</given-names></name></person-group><article-title>The economic burden of adults with major depressive disorder in the United States (2005 and 2010)</article-title><source>J Clin Psychiatry</source><year>2015</year><volume>76</volume><issue>2</issue><fpage>155</fpage><lpage>162</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4088/JCP.14m09298">http://dx.doi.org/10.4088/JCP.14m09298</ext-link></comment><pub-id pub-id-type="pmid">25742202</pub-id></element-citation></ref><ref id="R27"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Samnaliev</surname><given-names>M</given-names></name><name><surname>Noh</surname><given-names>HL</given-names></name><name><surname>Sonneville</surname><given-names>KR</given-names></name><name><surname>Austin</surname><given-names>SB</given-names></name></person-group><article-title>The economic burden of eating disorders and related mental health comorbidities: an exploratory analysis using the U.S. Medical Expenditures Panel Survey</article-title><source>Prev Med Rep</source><year>2015</year><volume>2</volume><fpage>32</fpage><lpage>34</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.pmedr.2014">http://dx.doi.org/10.1016/j.pmedr.2014</ext-link></comment><pub-id pub-id-type="pmid">26844048</pub-id></element-citation></ref><ref id="R28"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ivanova</surname><given-names>JI</given-names></name><name><surname>Birnbaum</surname><given-names>HG</given-names></name><name><surname>Chen</surname><given-names>L</given-names></name><etal/></person-group><article-title>Cost of post-traumatic stress disorder vs major depressive disorder among patients covered by medicaid or private insurance</article-title><source>Am J Manag Care</source><year>2011</year><volume>17</volume><issue>8</issue><fpage>e314</fpage><lpage>e323</lpage><pub-id pub-id-type="pmid">21851139</pub-id></element-citation></ref><ref id="R29"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tomasula</surname><given-names>JL</given-names></name><name><surname>Anderson</surname><given-names>LM</given-names></name><name><surname>Littleton</surname><given-names>HL</given-names></name><name><surname>Riley-Tillman</surname><given-names>TC</given-names></name></person-group><article-title>The association between sexual assault and suicidal activity in a national sample</article-title><source>Sch Psychol Q</source><year>2012</year><volume>27</volume><issue>2</issue><fpage>109</fpage><lpage>119</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1037/a0029162">http://dx.doi.org/10.1037/a0029162</ext-link></comment><pub-id pub-id-type="pmid">22774785</pub-id></element-citation></ref><ref id="R30"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Corso</surname><given-names>PS</given-names></name><name><surname>Mercy</surname><given-names>JA</given-names></name><name><surname>Simon</surname><given-names>TR</given-names></name><name><surname>Finkelstein</surname><given-names>EA</given-names></name><name><surname>Miller</surname><given-names>TR</given-names></name></person-group><article-title>Medical costs and productivity losses due to interpersonal and self-directed violence in the United States</article-title><source>Am J Prev Med</source><year>2007</year><volume>32</volume><issue>6</issue><fpage>474</fpage><lpage>482</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.amepre.2007.02.010">http://dx.doi.org/10.1016/j.amepre.2007.02.010</ext-link></comment><pub-id pub-id-type="pmid">17533062</pub-id></element-citation></ref><ref id="R31"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sacks</surname><given-names>JJ</given-names></name><name><surname>Gonzales</surname><given-names>KR</given-names></name><name><surname>Bouchery</surname><given-names>EE</given-names></name><name><surname>Tomedi</surname><given-names>LE</given-names></name><name><surname>Brewer</surname><given-names>RD</given-names></name></person-group><article-title>2010 national and state costs of excessive alcohol consumption</article-title><source>Am J Prev Med</source><year>2015</year><volume>49</volume><issue>5</issue><fpage>e73</fpage><lpage>e79</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.amepre.2015.05.031">http://dx.doi.org/10.1016/j.amepre.2015.05.031</ext-link></comment><pub-id pub-id-type="pmid">26477807</pub-id></element-citation></ref><ref id="R32"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bouchery</surname><given-names>EE</given-names></name><name><surname>Harwood</surname><given-names>HJ</given-names></name><name><surname>Sacks</surname><given-names>JJ</given-names></name><name><surname>Simon</surname><given-names>CJ</given-names></name><name><surname>Brewer</surname><given-names>RD</given-names></name></person-group><article-title>Economic costs of excessive alcohol consumption in the U.S., 2006</article-title><source>Am J Prev Med</source><year>2011</year><volume>41</volume><issue>5</issue><fpage>516</fpage><lpage>524</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.amepre.2011.06.045">http://dx.doi.org/10.1016/j.amepre.2011.06.045</ext-link></comment><pub-id pub-id-type="pmid">22011424</pub-id></element-citation></ref><ref id="R33"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Molnar</surname><given-names>BE</given-names></name><name><surname>Buka</surname><given-names>SL</given-names></name><name><surname>Kessler</surname><given-names>RC</given-names></name></person-group><article-title>Child sexual abuse and subsequent psychopathology: results from the National Comorbidity Survey</article-title><source>Am J Public Health</source><year>2001</year><volume>91</volume><issue>5</issue><fpage>753</fpage><lpage>760</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.2105/AJPH.91.5.753">http://dx.doi.org/10.2105/AJPH.91.5.753</ext-link></comment><pub-id pub-id-type="pmid">11344883</pub-id></element-citation></ref><ref id="R34"><label>34</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><source>The economic impact of illicit drug use on American Society</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>National Drug Intelligence Center</publisher-name><year>2011</year></element-citation></ref><ref id="R35"><label>35</label><element-citation publication-type="book"><collab>U.S. DHHS</collab><source>Results from the 2007 National Survey on Drug Use and Health: national findings (NSDUH Series H-34, DHHS Publication No SMA 08-4343</source><publisher-loc>Rockville, MD</publisher-loc><publisher-name>Substance Abuse and Mental Health Services Administration, Office of Applied Studies</publisher-name><year>2009</year></element-citation></ref><ref id="R36"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barnett</surname><given-names>SB</given-names></name><name><surname>Nurmagambetov</surname><given-names>TA</given-names></name></person-group><article-title>Costs of asthma in the United States 2002-2007</article-title><source>J Allergy Clin Immunol</source><year>2011</year><volume>127</volume><issue>1</issue><fpage>145</fpage><lpage>152</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.jaci.2010.10.020">http://dx.doi.org/10.1016/j.jaci.2010.10.020</ext-link></comment><pub-id pub-id-type="pmid">21211649</pub-id></element-citation></ref><ref id="R37"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Coker</surname><given-names>AL</given-names></name><name><surname>Hopenhayn</surname><given-names>C</given-names></name><name><surname>DeSimone</surname><given-names>CP</given-names></name><name><surname>Bush</surname><given-names>HM</given-names></name><name><surname>Crofford</surname><given-names>L</given-names></name></person-group><article-title>Violence against women raises risk of cervical cancer</article-title><source>J Womens Health (Larchmt)</source><year>2009</year><volume>18</volume><issue>8</issue><fpage>1179</fpage><lpage>1185</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1089/jwh.2008.1048">http://dx.doi.org/10.1089/jwh.2008.1048</ext-link></comment><pub-id pub-id-type="pmid">19630537</pub-id></element-citation></ref><ref id="R38"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ekwueme</surname><given-names>DU</given-names></name><name><surname>Yabroff</surname><given-names>KR</given-names></name><name><surname>Guy</surname><given-names>GP</given-names><suffix>Jr</suffix></name></person-group><article-title>Medical costs and productivity losses of cancer survivors&#x02014;United States 2008-2011</article-title><source>MMWR Morb Mortal Wkly Rep</source><year>2014</year><volume>63</volume><issue>23</issue><fpage>505</fpage><lpage>510</lpage><pub-id pub-id-type="pmid">24918485</pub-id></element-citation></ref><ref id="R39"><label>39</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Gaskin</surname><given-names>D</given-names></name><name><surname>Richard</surname><given-names>R</given-names></name></person-group><article-title>Relieving Pain in America: a blueprint for transforming prevention, care, education, and research</article-title><source>Appendix C: The economic costs of pain in the United States</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>IOM Committee on Advancing Pain Research, Care, and Education</publisher-name><year>2011</year></element-citation></ref><ref id="R40"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hillis</surname><given-names>SD</given-names></name><name><surname>Anda</surname><given-names>RF</given-names></name><name><surname>Felitti</surname><given-names>VJ</given-names></name><name><surname>Nordenberg</surname><given-names>D</given-names></name><name><surname>Marchbanks</surname><given-names>PA</given-names></name></person-group><article-title>Adverse childhood experiences and sexually transmitted diseases in men and women: a retrospective study</article-title><source>Pediatrics</source><year>2000</year><volume>106</volume><issue>1</issue><fpage>E11</fpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1542/peds.106.1.e11">http://dx.doi.org/10.1542/peds.106.1.e11</ext-link></comment><pub-id pub-id-type="pmid">10878180</pub-id></element-citation></ref><ref id="R41"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Owusu-Edusei</surname><given-names>K</given-names><suffix>Jr</suffix></name><name><surname>Chesson</surname><given-names>HW</given-names></name><name><surname>Gift</surname><given-names>TL</given-names></name><etal/></person-group><article-title>The estimated direct medical cost of selected sexually transmitted infections in the United States, 2008</article-title><source>Sex Transm Dis</source><year>2013</year><volume>40</volume><issue>3</issue><fpage>197</fpage><lpage>201</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1097/OLQ.0b013e318285c6d2">http://dx.doi.org/10.1097/OLQ.0b013e318285c6d2</ext-link></comment><pub-id pub-id-type="pmid">23403600</pub-id></element-citation></ref><ref id="R42"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chesson</surname><given-names>HW</given-names></name><name><surname>Ekwueme</surname><given-names>DU</given-names></name><name><surname>Saraiya</surname><given-names>M</given-names></name><name><surname>Watson</surname><given-names>M</given-names></name><name><surname>Lowy</surname><given-names>DR</given-names></name><name><surname>Markowitz</surname><given-names>LE</given-names></name></person-group><article-title>Estimates of the annual direct medical costs of the prevention and treatment of disease associated with human papil-lomavirus in the United States</article-title><source>Vaccine</source><year>2012</year><volume>30</volume><issue>42</issue><fpage>6016</fpage><lpage>6019</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.vaccine.2012.07.056">http://dx.doi.org/10.1016/j.vaccine.2012.07.056</ext-link></comment><pub-id pub-id-type="pmid">22867718</pub-id></element-citation></ref><ref id="R43"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Owusu-Edusei</surname><given-names>K</given-names><suffix>Jr</suffix></name><name><surname>Roby</surname><given-names>TM</given-names></name><name><surname>Chesson</surname><given-names>HW</given-names></name><name><surname>Gift</surname><given-names>TL</given-names></name></person-group><article-title>Productivity costs of nonviral sexually transmissible infections among patients who miss work to seek medical care: evidence from claims data</article-title><source>Sex Health</source><year>2013</year><volume>10</volume><issue>5</issue><fpage>434</fpage><lpage>437</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1071/SH13021">http://dx.doi.org/10.1071/SH13021</ext-link></comment><pub-id pub-id-type="pmid">23987746</pub-id></element-citation></ref><ref id="R44"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Yu</surname><given-names>KF</given-names></name></person-group><article-title>What&#x02019;;s the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes</article-title><source>JAMA</source><year>1998</year><volume>280</volume><issue>19</issue><fpage>1690</fpage><lpage>1691</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/jama.280.19.1690">http://dx.doi.org/10.1001/jama.280.19.1690</ext-link></comment><pub-id pub-id-type="pmid">9832001</pub-id></element-citation></ref><ref id="R45"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Murphy</surname><given-names>SL</given-names></name><name><surname>Kochanek</surname><given-names>KD</given-names></name><name><surname>Bastian</surname><given-names>BA</given-names></name></person-group><article-title>Deaths: final data for 2013</article-title><source>Natl Vital Stat Rep</source><year>2016</year><volume>64</volume><issue>2</issue><fpage>1</fpage><lpage>119</lpage><pub-id pub-id-type="pmid">26905861</pub-id></element-citation></ref><ref id="R46"><label>46</label><element-citation publication-type="book"><collab>Centers for Disease Control and Prevention (CDC)</collab><source>Costs of Intimate Partner Violence Against Women in the United States</source><publisher-loc>Atlanta, GA</publisher-loc><publisher-name>CDC</publisher-name><year>2003</year></element-citation></ref><ref id="R47"><label>47</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Laney</surname><given-names>G</given-names></name></person-group><source>Violence Against Women Act: History and Federal Funding (RL30871</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Congressional Research Service</publisher-name><year>2010</year></element-citation></ref><ref id="R48"><label>48</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Kilpatrick</surname><given-names>DG</given-names></name><name><surname>Resnick</surname><given-names>HS</given-names></name><name><surname>Ruggiero</surname><given-names>KJ</given-names></name><name><surname>Conoscenti</surname><given-names>LM</given-names></name><name><surname>McCauley</surname><given-names>JM</given-names></name></person-group><source>Drug-facilitated, incapacitated, and forcible rape: a national study, NIJ 219181</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>National Institute of Justice</publisher-name><year>2007</year></element-citation></ref><ref id="R49"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zinzow</surname><given-names>HM</given-names></name><name><surname>Resnick</surname><given-names>HS</given-names></name><name><surname>McCauley</surname><given-names>JL</given-names></name><name><surname>Amstadter</surname><given-names>AB</given-names></name><name><surname>Ruggiero</surname><given-names>KJ</given-names></name><name><surname>Kilpatrick</surname><given-names>DG</given-names></name></person-group><article-title>Prevalence and risk of psychiatric disorders as a function of variant rape histories: results from a national survey of women</article-title><source>Soc Psychiatry Psychiatr Epidemiol</source><year>2012</year><volume>47</volume><issue>6</issue><fpage>893</fpage><lpage>902</lpage><comment>Supplemental analysis received from authors November 2015</comment><pub-id pub-id-type="pmid">21603967</pub-id></element-citation></ref><ref id="R50"><label>50</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 1. Percent distribution of expenditure for the justice system by type of government, fiscal 2012</article-title><source>Justice Expenditure and Employment Extracts, NCJ 248628</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2015</year></element-citation></ref><ref id="R51"><label>51</label><element-citation publication-type="book"><collab>U.S. Federal Bureau of Investigation</collab><article-title>Table 29. Estimated number of arrests, Rape&#x02014;revised definition</article-title><source>Crime in the United States 2013</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2013</year></element-citation></ref><ref id="R52"><label>52</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 1. Estimated number of persons supervised by adult correctional systems, by correctional status, 2000, 2005, and 2010&#x02013;2013</article-title><source>Correctional populations in the United States, 2013, NCJ 248479</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2014</year></element-citation></ref><ref id="R53"><label>53</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 21. Adjudication outcome for felony defendants in the 75 largest counties, by most serious arrest charge</article-title><source>Felony defendants in large urban counties, 2009&#x02014;statistical tables, NCJ 243777</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2013</year></element-citation></ref><ref id="R54"><label>54</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 3. Rate of probation exits, by type of exit, 2008&#x02013;2013</article-title><source>Probation and parole in the United States, 2013, NCJ 248029</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2014</year></element-citation></ref><ref id="R55"><label>55</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 6. Length of sentence and time expected to be served of inmates sentenced to jail, by offense, 2002</article-title><source>Profile of jail inmates, NCJ 201932</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2004</year></element-citation></ref><ref id="R56"><label>56</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 1.3. Mean state prison sentence and estimated time to be served in prison, by offenses, 2004</article-title><source>Bureau of Justice Statistics, state court sentencing of convicted felons, statistical tables, NCJ 217995</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2007</year></element-citation></ref><ref id="R57"><label>57</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 14. Estimated sentenced prisoners under state jurisdiction, by offense and sex, race, and Hispanic origin, December 31, 2012</article-title><source>Survey of inmates in state correctional facilities. Bureau of Justice Statistics, National Prisoner Statistics Program, National Corrections Reporting Program</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2014</year></element-citation></ref><ref id="R58"><label>58</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 6.58.2003. Time served to first release by Federal prisoners by offense, United States</article-title><source>Compendium of Federal Justice Statistics, NCJ 210299. Available through Sourcebook of Criminal Justice Statistics Online</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2003</year></element-citation></ref><ref id="R59"><label>59</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 6.0023.2013. Prisoners under the jurisdiction of the Federal Bureau of Prisons by adjudication status, type of offense, and sentence length, selected years 1990-2013</article-title><source>Federal Bureau of Prisons, State of the Bureau. Available through Sourcebook of Criminal Justice Statistics Online</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2003</year></element-citation></ref><ref id="R60"><label>60</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><article-title>Table 6. Rate of parole exits, by type of exit, 2008&#x02013;2013</article-title><source>Probation and Parole in the United States, NCJ 248029</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2014</year></element-citation></ref><ref id="R61"><label>61</label><element-citation publication-type="book"><collab>U.S. Federal Bureau of Investigation</collab><article-title>Table 7. Offense analysis: Rape&#x02014;revised definition</article-title><source>Crime in the United States 2013</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2013</year></element-citation></ref><ref id="R62"><label>62</label><element-citation publication-type="book"><collab>U.S. Federal Bureau of Investigation</collab><article-title>Table 25. Percent of offenses cleared by arrest or exceptional means, rape&#x02014;revised definition</article-title><source>Crime in the United States 2013</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>2013</year></element-citation></ref><ref id="R63"><label>63</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Woolhandler</surname><given-names>S</given-names></name><name><surname>Himmelstein</surname><given-names>DU</given-names></name></person-group><article-title>Paying for national health insurance&#x02014;and not getting it</article-title><source>Health Aff (Millwood)</source><year>2002</year><volume>21</volume><fpage>88</fpage><lpage>98</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1377/hlthaff.21.4.88">http://dx.doi.org/10.1377/hlthaff.21.4.88</ext-link></comment><pub-id pub-id-type="pmid">12117155</pub-id></element-citation></ref><ref id="R64"><label>64</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Day</surname><given-names>T</given-names></name><name><surname>McKenna</surname><given-names>K</given-names></name><name><surname>Bowlus</surname><given-names>A</given-names></name></person-group><source>The economic costs of violence against women: an evaluation of the literature expert brief compiled in preparation for the Secretary-General&#x02019;s in-depth study on all forms of violence against women</source><publisher-loc>New York City NY</publisher-loc><publisher-name>United Nations</publisher-name><year>2005</year></element-citation></ref><ref id="R65"><label>65</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Link</surname><given-names>CL</given-names></name><name><surname>Lutfey</surname><given-names>KE</given-names></name><name><surname>Steers</surname><given-names>WD</given-names></name><name><surname>McKinlay</surname><given-names>JB</given-names></name></person-group><article-title>Is abuse causally related to urologic symptoms? Results from the Boston Area Community Health (BACH) Survey</article-title><source>Eur Urol</source><year>2007</year><volume>52</volume><issue>2</issue><fpage>397</fpage><lpage>406</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1016/j.eururo.2007.03.024">http://dx.doi.org/10.1016/j.eururo.2007.03.024</ext-link></comment><pub-id pub-id-type="pmid">17383083</pub-id></element-citation></ref><ref id="R66"><label>66</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Paras</surname><given-names>ML</given-names></name><name><surname>Murad</surname><given-names>MH</given-names></name><name><surname>Chen</surname><given-names>LP</given-names></name></person-group><article-title>Sexual abuse and lifetime diagnosis of somatic disorders: a systematic review and meta-analysis</article-title><source>JAMA</source><year>2009</year><volume>302</volume><issue>5</issue><fpage>550</fpage><lpage>561</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1001/jama.2009.1091">http://dx.doi.org/10.1001/jama.2009.1091</ext-link></comment><pub-id pub-id-type="pmid">19654389</pub-id></element-citation></ref><ref id="R67"><label>67</label><element-citation publication-type="book"><collab>U.S. Department of Justice</collab><source>Age Patterns of Victims of Serious Violent Crime, July 1997, NCJ-162031</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><year>1997</year></element-citation></ref><ref id="R68"><label>68</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Tjaden</surname><given-names>P</given-names></name><name><surname>Thoennes</surname><given-names>N</given-names></name></person-group><source>Full report of the prevalence, incidence, and consequences of violence against women: findings from the National Violence Against Women Survey</source><publisher-loc>Washington, DC</publisher-loc><publisher-name>U.S. Department of Justice</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1037/e514172006-001">http://dx.doi.org/10.1037/e514172006-001</ext-link></comment></element-citation></ref><ref id="R69"><label>69</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kilpatrick</surname><given-names>DG</given-names></name><name><surname>Acierno</surname><given-names>R</given-names></name><name><surname>Resnick</surname><given-names>HS</given-names></name><name><surname>Saunders</surname><given-names>BE</given-names></name><name><surname>Best</surname><given-names>CL</given-names></name></person-group><article-title>A 2-year longitudinal analysis of the relationships between violent assault and substance use in women</article-title><source>J Consult Clin Psychol</source><year>1997</year><volume>65</volume><issue>5</issue><fpage>834</fpage><lpage>847</lpage><comment><ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1037/0022-006X.65.5.834">http://dx.doi.org/10.1037/0022-006X.65.5.834</ext-link></comment><pub-id pub-id-type="pmid">9337502</pub-id></element-citation></ref></ref-list></back><floats-group><table-wrap id="T1" position="float" orientation="landscape"><label>Table 1</label><caption><p>Estimated Marginal Outcomes, Lifetime Unit Costs, Lifetime Cost Per Victim, and Economic Burden of Rape (2014 USD)</p></caption><table frame="box" rules="rows"><thead><tr><th align="left" rowspan="3" valign="bottom" colspan="1">Measure</th><th align="center" rowspan="2" colspan="2" valign="bottom">Marginal outcome among victims<xref rid="TFN2" ref-type="table-fn">a</xref></th><th align="center" rowspan="3" valign="bottom" colspan="1">Marginal lifetime cost per outcome, <xref rid="TFN3" ref-type="table-fn">b</xref> $</th><th align="center" colspan="4" valign="bottom" rowspan="1">Lifetime cost<xref rid="TFN4" ref-type="table-fn">c</xref></th></tr><tr><th align="left" colspan="2" valign="bottom" rowspan="1">Per victim, $</th><th align="center" rowspan="2" valign="bottom" colspan="1">Population, $</th><th align="center" rowspan="2" valign="bottom" colspan="1">% of total</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">Women</th><th align="center" valign="bottom" rowspan="1" colspan="1">Men</th><th align="center" valign="bottom" rowspan="1" colspan="1">Women</th><th align="center" valign="bottom" rowspan="1" colspan="1">Men</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Total</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victims<xref rid="TFN5" ref-type="table-fn">d</xref> (n) and total cost</td><td align="center" rowspan="1" colspan="1">23,305,000<sup><xref rid="R1" ref-type="bibr">1</xref></sup></td><td align="center" rowspan="1" colspan="1">1,971,000<sup><xref rid="R1" ref-type="bibr">1</xref></sup></td><td align="center" rowspan="1" colspan="1">122,461</td><td align="center" rowspan="1" colspan="1">122,278</td><td align="center" rowspan="1" colspan="1">124,631</td><td align="center" rowspan="1" colspan="1">3,095,330,073,080</td><td align="center" rowspan="1" colspan="1">100.00</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Medical cost</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">48,029</td><td align="center" rowspan="1" colspan="1">48,180</td><td align="center" rowspan="1" colspan="1">46,235</td><td align="center" rowspan="1" colspan="1">1,213,974,631,140</td><td align="center" rowspan="1" colspan="1">39.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Lost productivity cost</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">63,744</td><td align="center" rowspan="1" colspan="1">63,475</td><td align="center" rowspan="1" colspan="1">66,924</td><td align="center" rowspan="1" colspan="1">1,611,187,780,921</td><td align="center" rowspan="1" colspan="1">52.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Criminal justice cost</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">9,250</td><td align="center" rowspan="1" colspan="1">9,194</td><td align="center" rowspan="1" colspan="1">9,918</td><td align="center" rowspan="1" colspan="1">233,815,164,644</td><td align="center" rowspan="1" colspan="1">7.6</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Other<xref rid="TFN6" ref-type="table-fn">e</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">1,438</td><td align="center" rowspan="1" colspan="1">1,428</td><td align="center" rowspan="1" colspan="1">1,554</td><td align="center" rowspan="1" colspan="1">36,352,496,375</td><td align="center" rowspan="1" colspan="1">1.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Government cost as % of total</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">38,848</td><td align="center" rowspan="1" colspan="1">38,900</td><td align="center" rowspan="1" colspan="1">38,230</td><td align="center" rowspan="1" colspan="1">981,911,926,278</td><td align="center" rowspan="1" colspan="1">31.7</td></tr><tr><td align="left" rowspan="1" colspan="1">Acute outcomes</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim property loss/damage</td><td align="center" colspan="2" rowspan="1">10.9%<xref rid="TFN7" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1">219<xref rid="TFN7" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">604,283,163</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Injuries treated by location</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">520</td><td align="center" rowspan="1" colspan="1">520</td><td align="center" rowspan="1" colspan="1">13,155,970,329</td><td align="center" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Doctor&#x02019;s office</td><td align="center" colspan="2" rowspan="1">5.3%<xref rid="TFN7" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1">168<sup><xref rid="R16" ref-type="bibr">16</xref></sup></td><td align="center" rowspan="1" colspan="1">9</td><td align="center" rowspan="1" colspan="1">9</td><td align="center" rowspan="1" colspan="1">226,955,738</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;ED treat-and- release</td><td align="center" colspan="2" rowspan="1">12.1%<xref rid="TFN7" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1">2,251<xref rid="TFN8" ref-type="table-fn">g</xref></td><td align="center" rowspan="1" colspan="1">272</td><td align="center" rowspan="1" colspan="1">272</td><td align="center" rowspan="1" colspan="1">6,866,148,670</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Hospitalization</td><td align="center" colspan="2" rowspan="1">1.0%<xref rid="TFN7" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1">24,481<xref rid="TFN8" ref-type="table-fn">g</xref></td><td align="center" rowspan="1" colspan="1">240</td><td align="center" rowspan="1" colspan="1">240</td><td align="center" rowspan="1" colspan="1">6,062,865,922</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim fatalities</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">359,334,461</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Medical</td><td align="center" colspan="2" rowspan="1">0.001%<sup><xref rid="R17" ref-type="bibr">17</xref></sup></td><td align="center" rowspan="1" colspan="1">11,707<sup><xref rid="R18" ref-type="bibr">18</xref></sup></td><td align="center" rowspan="1" colspan="1">0.10</td><td align="center" rowspan="1" colspan="1">0.10</td><td align="center" rowspan="1" colspan="1">2,517,150</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Lost productivity</td><td align="center" colspan="2" rowspan="1">0.001%<sup><xref rid="R17" ref-type="bibr">17</xref></sup></td><td align="center" rowspan="1" colspan="1">1,659,520<sup><xref rid="R18" ref-type="bibr">18</xref></sup></td><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">356,817,311</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Rape-related pregnancy<xref rid="TFN9" ref-type="table-fn">h</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">445</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">10,367,598,401</td><td align="center" rowspan="1" colspan="1">0.3</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Birth</td><td align="center" rowspan="1" colspan="1">0.9%<sup><xref rid="R19" ref-type="bibr">19</xref></sup></td><td align="center" rowspan="1" colspan="1">NA</td><td align="center" rowspan="1" colspan="1">15,867<sup><xref rid="R20" ref-type="bibr">20</xref></sup></td><td align="center" rowspan="1" colspan="1">147</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">3,431,432,651</td><td align="center" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Adoption</td><td align="center" rowspan="1" colspan="1">0.2%<sup><xref rid="R19" ref-type="bibr">19</xref></sup></td><td align="center" rowspan="1" colspan="1">NA</td><td align="center" rowspan="1" colspan="1">168,758<sup><xref rid="R21" ref-type="bibr">21</xref></sup></td><td align="center" rowspan="1" colspan="1">286</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">6,666,421,130</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Medical abortion</td><td align="center" rowspan="1" colspan="1">1.4%<sup><xref rid="R19" ref-type="bibr">19</xref></sup></td><td align="center" rowspan="1" colspan="1">NA</td><td align="center" rowspan="1" colspan="1">518<sup><xref rid="R22" ref-type="bibr">22</xref></sup></td><td align="center" rowspan="1" colspan="1">7</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">173,312,428</td><td align="center" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Spontaneous abortion</td><td align="center" rowspan="1" colspan="1">0.3%<sup><xref rid="R19" ref-type="bibr">19</xref></sup></td><td align="center" rowspan="1" colspan="1">NA</td><td align="center" rowspan="1" colspan="1">1,275<sup><xref rid="R23" ref-type="bibr">23</xref></sup></td><td align="center" rowspan="1" colspan="1">4</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">96,432,192</td><td align="center" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim lost productivity</td><td align="center" rowspan="1" colspan="1">100.0%<xref rid="TFN10" ref-type="table-fn">i</xref></td><td align="center" rowspan="1" colspan="1">100.0%<xref rid="TFN10" ref-type="table-fn">i</xref></td><td align="center" rowspan="1" colspan="1">516<sup><xref rid="R24" ref-type="bibr">24</xref></sup></td><td align="center" rowspan="1" colspan="1">516</td><td align="center" rowspan="1" colspan="1">516</td><td align="center" rowspan="1" colspan="1">13,030,592,521</td><td align="center" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" rowspan="1" colspan="1">Long-term outcomes</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim mental health</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">77,665</td><td align="center" rowspan="1" colspan="1">78,861</td><td align="center" rowspan="1" colspan="1">1,965,406,362,728</td><td align="center" rowspan="1" colspan="1">63.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Anxiety disorder</td><td align="center" colspan="2" rowspan="1">1.3%<sup><xref rid="R2" ref-type="bibr">2</xref></sup></td><td align="center" rowspan="1" colspan="1">83,542</td><td align="center" rowspan="1" colspan="1">1,020</td><td align="center" rowspan="1" colspan="1">1,020</td><td align="center" rowspan="1" colspan="1">25,791,864,322</td><td align="center" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">79,967<sup><xref rid="R25" ref-type="bibr">25</xref></sup></td><td align="center" rowspan="1" colspan="1">904</td><td align="center" rowspan="1" colspan="1">904</td><td align="center" rowspan="1" colspan="1">22,860,475,943</td><td align="center" rowspan="1" colspan="1">0.7</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">9,089<sup><xref rid="R25" ref-type="bibr">25</xref></sup></td><td align="center" rowspan="1" colspan="1">116</td><td align="center" rowspan="1" colspan="1">116</td><td align="center" rowspan="1" colspan="1">2,931,388,379</td><td align="center" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Depression</td><td align="center" colspan="2" rowspan="1">19.7%<sup><xref rid="R2" ref-type="bibr">2</xref></sup></td><td align="center" rowspan="1" colspan="1">328,788</td><td align="center" rowspan="1" colspan="1">64,647</td><td align="center" rowspan="1" colspan="1">64,647</td><td align="center" rowspan="1" colspan="1">1,634,024,259,549</td><td align="center" rowspan="1" colspan="1">52.8</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">153,906<sup><xref rid="R26" ref-type="bibr">26</xref></sup></td><td align="center" rowspan="1" colspan="1">30,261</td><td align="center" rowspan="1" colspan="1">30,261</td><td align="center" rowspan="1" colspan="1">764,887,830,138</td><td align="center" rowspan="1" colspan="1">24.7</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">174,882<sup><xref rid="R26" ref-type="bibr">26</xref></sup></td><td align="center" rowspan="1" colspan="1">34,386</td><td align="center" rowspan="1" colspan="1">34,386</td><td align="center" rowspan="1" colspan="1">869,136,429,410</td><td align="center" rowspan="1" colspan="1">28.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Eating disorder</td><td align="center" colspan="2" rowspan="1">9.4%<sup><xref rid="R2" ref-type="bibr">2</xref></sup></td><td align="center" rowspan="1" colspan="1">32,766</td><td align="center" rowspan="1" colspan="1">3,077</td><td align="center" rowspan="1" colspan="1">3,077</td><td align="center" rowspan="1" colspan="1">77,778,861,049</td><td align="center" rowspan="1" colspan="1">2.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">32,766<sup><xref rid="R27" ref-type="bibr">27</xref></sup></td><td align="center" rowspan="1" colspan="1">3,077</td><td align="center" rowspan="1" colspan="1">3,077</td><td align="center" rowspan="1" colspan="1">77,778,861,049</td><td align="center" rowspan="1" colspan="1">2.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">0<sup><xref rid="R27" ref-type="bibr">27</xref></sup></td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Posttraumatic stress disorder</td><td align="center" colspan="2" rowspan="1">18.6%<sup><xref rid="R2" ref-type="bibr">2</xref></sup></td><td align="center" rowspan="1" colspan="1">40,841</td><td align="center" rowspan="1" colspan="1">7,587</td><td align="center" rowspan="1" colspan="1">7,587</td><td align="center" rowspan="1" colspan="1">191,756,565,087</td><td align="center" rowspan="1" colspan="1">6.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">31,753<sup><xref rid="R28" ref-type="bibr">28</xref></sup></td><td align="center" rowspan="1" colspan="1">5,898</td><td align="center" rowspan="1" colspan="1">5,898</td><td align="center" rowspan="1" colspan="1">149,083,858,363</td><td align="center" rowspan="1" colspan="1">4.8</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">9,089<sup><xref rid="R26" ref-type="bibr">26</xref></sup></td><td align="center" rowspan="1" colspan="1">1,688</td><td align="center" rowspan="1" colspan="1">1,688</td><td align="center" rowspan="1" colspan="1">42,672,706,724</td><td align="center" rowspan="1" colspan="1">1.4</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Medically-serious nonfatal suicide attempt</td><td align="center" rowspan="1" colspan="1">7.7%<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R29" ref-type="bibr">29</xref></sup></td><td align="center" rowspan="1" colspan="1">14.6%<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R29" ref-type="bibr">29</xref></sup></td><td align="center" rowspan="1" colspan="1">17,362</td><td align="center" rowspan="1" colspan="1">1,333</td><td align="center" rowspan="1" colspan="1">2,529</td><td align="center" rowspan="1" colspan="1">36,054,812,721</td><td align="center" rowspan="1" colspan="1">1.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">7,872<sup><xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup></td><td align="center" rowspan="1" colspan="1">604</td><td align="center" rowspan="1" colspan="1">1,147</td><td align="center" rowspan="1" colspan="1">16,347,640,605</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">9,490<sup><xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup></td><td align="center" rowspan="1" colspan="1">729</td><td align="center" rowspan="1" colspan="1">1,382</td><td align="center" rowspan="1" colspan="1">19,707,172,117</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim substance use</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">31,485</td><td align="center" rowspan="1" colspan="1">36,224</td><td align="center" rowspan="1" colspan="1">805,146,485,847</td><td align="center" rowspan="1" colspan="1">26.0</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Alcohol abuse</td><td align="center" rowspan="1" colspan="1">2.8%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">5.5%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">19,897</td><td align="center" rowspan="1" colspan="1">563</td><td align="center" rowspan="1" colspan="1">1,101</td><td align="center" rowspan="1" colspan="1">15,285,251,989</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">2,261<sup><xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup></td><td align="center" rowspan="1" colspan="1">64</td><td align="center" rowspan="1" colspan="1">125</td><td align="center" rowspan="1" colspan="1">1,736,713,691</td><td align="center" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">14,312<sup><xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup></td><td align="center" rowspan="1" colspan="1">405</td><td align="center" rowspan="1" colspan="1">792</td><td align="center" rowspan="1" colspan="1">10,994,807,039</td><td align="center" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Other</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">3,324</td><td align="center" rowspan="1" colspan="1">94</td><td align="center" rowspan="1" colspan="1">184</td><td align="center" rowspan="1" colspan="1">2,553,731,259</td><td align="center" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Illicit drug use</td><td align="center" rowspan="1" colspan="1">10.4%<sup><xref rid="R33" ref-type="bibr">33</xref></sup></td><td align="center" rowspan="1" colspan="1">11.4%<sup><xref rid="R33" ref-type="bibr">33</xref></sup></td><td align="center" rowspan="1" colspan="1">237,532</td><td align="center" rowspan="1" colspan="1">24,784</td><td align="center" rowspan="1" colspan="1">27,058</td><td align="center" rowspan="1" colspan="1">630,917,593,872</td><td align="center" rowspan="1" colspan="1">20.4</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">14,491<sup><xref rid="R34" ref-type="bibr">34</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup></td><td align="center" rowspan="1" colspan="1">1,512</td><td align="center" rowspan="1" colspan="1">1,651</td><td align="center" rowspan="1" colspan="1">38,491,321,100</td><td align="center" rowspan="1" colspan="1">1.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">147,380<sup><xref rid="R34" ref-type="bibr">34</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup></td><td align="center" rowspan="1" colspan="1">15,378</td><td align="center" rowspan="1" colspan="1">16,788</td><td align="center" rowspan="1" colspan="1">391,463,096,543</td><td align="center" rowspan="1" colspan="1">12.6</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Other</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">75,660<sup><xref rid="R34" ref-type="bibr">34</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup></td><td align="center" rowspan="1" colspan="1">7,894</td><td align="center" rowspan="1" colspan="1">8,619</td><td align="center" rowspan="1" colspan="1">200,963,176,229</td><td align="center" rowspan="1" colspan="1">6.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Smoking</td><td align="center" rowspan="1" colspan="1">9.1%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">11.9%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">67,653</td><td align="center" rowspan="1" colspan="1">6,138</td><td align="center" rowspan="1" colspan="1">8,065</td><td align="center" rowspan="1" colspan="1">158,943,639,986</td><td align="center" rowspan="1" colspan="1">5.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">4,545<sup><xref rid="R12" ref-type="bibr">12</xref></sup></td><td align="center" rowspan="1" colspan="1">412</td><td align="center" rowspan="1" colspan="1">542</td><td align="center" rowspan="1" colspan="1">10,678,757,676</td><td align="center" rowspan="1" colspan="1">0.3</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">51,816<sup><xref rid="R12" ref-type="bibr">12</xref></sup></td><td align="center" rowspan="1" colspan="1">4,701</td><td align="center" rowspan="1" colspan="1">6,177</td><td align="center" rowspan="1" colspan="1">121,736,821,488</td><td align="center" rowspan="1" colspan="1">3.9</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Other</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">11,291<sup><xref rid="R12" ref-type="bibr">12</xref></sup></td><td align="center" rowspan="1" colspan="1">1,024</td><td align="center" rowspan="1" colspan="1">1,346</td><td align="center" rowspan="1" colspan="1">26,528,060,823</td><td align="center" rowspan="1" colspan="1">0.9</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Victim physical health</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">5,435</td><td align="center" rowspan="1" colspan="1">2,298</td><td align="center" rowspan="1" colspan="1">131,181,518,249</td><td align="center" rowspan="1" colspan="1">4.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Asthma</td><td align="center" rowspan="1" colspan="1">4.2%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">1.6%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">76,556</td><td align="center" rowspan="1" colspan="1">3,232</td><td align="center" rowspan="1" colspan="1">1,246</td><td align="center" rowspan="1" colspan="1">77,785,654,262</td><td align="center" rowspan="1" colspan="1">2.5</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">70,141<sup><xref rid="R36" ref-type="bibr">36</xref></sup></td><td align="center" rowspan="1" colspan="1">2,961</td><td align="center" rowspan="1" colspan="1">1,142</td><td align="center" rowspan="1" colspan="1">71,267,682,087</td><td align="center" rowspan="1" colspan="1">2.3</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">6,415<sup><xref rid="R36" ref-type="bibr">36</xref></sup></td><td align="center" rowspan="1" colspan="1">271</td><td align="center" rowspan="1" colspan="1">104</td><td align="center" rowspan="1" colspan="1">6,517,972,175</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Cervical cancer<xref rid="TFN11" ref-type="table-fn">j</xref></td><td align="center" rowspan="1" colspan="1">1.6%<sup><xref rid="R37" ref-type="bibr">37</xref></sup></td><td align="center" rowspan="1" colspan="1">NA</td><td align="center" rowspan="1" colspan="1">66,589</td><td align="center" rowspan="1" colspan="1">1,086</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">25,308,935,016</td><td align="center" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">47,380<sup><xref rid="R38" ref-type="bibr">38</xref></sup></td><td align="center" rowspan="1" colspan="1">773</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">18,007,793,710</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">19,210<sup><xref rid="R38" ref-type="bibr">38</xref></sup></td><td align="center" rowspan="1" colspan="1">313</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">7,301,141,305</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Joint conditions</td><td align="center" rowspan="1" colspan="1">7.3%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">6.7%<sup><xref rid="R3" ref-type="bibr">3</xref></sup></td><td align="center" rowspan="1" colspan="1">14,570</td><td align="center" rowspan="1" colspan="1">1,065</td><td align="center" rowspan="1" colspan="1">972</td><td align="center" rowspan="1" colspan="1">26,733,335,689</td><td align="center" rowspan="1" colspan="1">0.9</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">13,614<sup><xref rid="R39" ref-type="bibr">39</xref></sup></td><td align="center" rowspan="1" colspan="1">995</td><td align="center" rowspan="1" colspan="1">908</td><td align="center" rowspan="1" colspan="1">24,980,459,288</td><td align="center" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">955<sup><xref rid="R39" ref-type="bibr">39</xref></sup></td><td align="center" rowspan="1" colspan="1">70</td><td align="center" rowspan="1" colspan="1">64</td><td align="center" rowspan="1" colspan="1">1,752,876,400</td><td align="center" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Sexually transmitted infections</td><td align="center" rowspan="1" colspan="1">4.6%<sup><xref rid="R40" ref-type="bibr">40</xref></sup></td><td align="center" rowspan="1" colspan="1">7.1%<sup><xref rid="R40" ref-type="bibr">40</xref></sup></td><td align="center" rowspan="1" colspan="1">1,116</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">80</td><td align="center" rowspan="1" colspan="1">1,353,593,282</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Medical</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">819<sup><xref rid="R41" ref-type="bibr">41</xref>,<xref rid="R42" ref-type="bibr">42</xref></sup></td><td align="center" rowspan="1" colspan="1">38</td><td align="center" rowspan="1" colspan="1">58</td><td align="center" rowspan="1" colspan="1">993,572,740</td><td align="center" rowspan="1" colspan="1">&#x0003c;0.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Lost productivity</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">297<sup><xref rid="R43" ref-type="bibr">43</xref></sup></td><td align="center" rowspan="1" colspan="1">14</td><td align="center" rowspan="1" colspan="1">21</td><td align="center" rowspan="1" colspan="1">360,020,542</td><td align="center" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Convicted perpetrators</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">6,175</td><td align="center" rowspan="1" colspan="1">6,175</td><td align="center" rowspan="1" colspan="1">156,077,927,380</td><td align="center" rowspan="1" colspan="1">5.0</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Criminal justice</td><td align="center" colspan="2" rowspan="1">1.4%<xref rid="TFN12" ref-type="table-fn">k</xref></td><td align="center" rowspan="1" colspan="1">93,105<xref rid="TFN12" ref-type="table-fn">k</xref></td><td align="center" rowspan="1" colspan="1">1,300</td><td align="center" rowspan="1" colspan="1">1,300</td><td align="center" rowspan="1" colspan="1">32,851,988,414</td><td align="center" rowspan="1" colspan="1">1.1</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Lost productivity</td><td align="center" colspan="2" rowspan="1">1.4%<xref rid="TFN12" ref-type="table-fn">k</xref></td><td align="center" rowspan="1" colspan="1">349,233<sup><xref rid="R24" ref-type="bibr">24</xref></sup></td><td align="center" rowspan="1" colspan="1">4,875</td><td align="center" rowspan="1" colspan="1">4,875</td><td align="center" rowspan="1" colspan="1">123,225,938,966</td><td align="center" rowspan="1" colspan="1">4.0</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p><italic>Note:</italic> Cited references were the basis for marginal probabilities and costs demonstrated in this table. <xref rid="SD2" ref-type="supplementary-material">Appendix and Appendix Tables 1&#x02013;3</xref> (available online) demonstrate how data as reported in reference studies were used to calculate data as presented in this table. Costs are 2014 USD.</p></fn><fn id="TFN2"><label>a</label><p>Combined marginal outcomes for men and women reflect estimates from studies that controlled for victim sex but did not report final results by sex (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref> has details, available online).</p></fn><fn id="TFN3"><label>b</label><p>Marginal costs without references are calculated from other data in the table, for example, category sums.</p></fn><fn id="TFN4"><label>c</label><p>Per victim cost is marginal probability multiplied by marginal cost. Population cost by outcome is the number of victims by sex multiplied by the per-victim cost. Total per-victim by sex and total population costs are the sum of all per-victim by sex and population costs by outcome.</p></fn><fn id="TFN5"><label>d</label><p>Details of reference studies reported in <xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref> (outcomes); <xref rid="SD2" ref-type="supplementary-material">Appendix Table 2</xref> (costs); <xref rid="SD2" ref-type="supplementary-material">Appendix Table 3</xref> (discounted cost calculations) (available online).</p></fn><fn id="TFN6"><label>e</label><p>Includes victim property damage/loss, adoption costs, &#x0201c;other&#x0201d; costs attributable to smoking and alcohol abuse (<xref rid="SD2" ref-type="supplementary-material">Appendix Table 3</xref> has details, available online).</p></fn><fn id="TFN7"><label>f</label><p>Unpublished data from the U.S. Department of Justice.</p></fn><fn id="TFN8"><label>g</label><p>Unpublished data from Pacific Institute for Research and Evaluation.</p></fn><fn id="TFN9"><label>h</label><p>Marginal probability represents the estimated probability of each rape-related pregnancy outcome among all female victims with lifetime experience of attempted and completed rape, calculated using the proportion of female attempted and completed rape victims that experienced completed penetration rape from 2011 U.S. NISVS (survey-weighted 13,826,000/23,305,000 female victims, or 59%).<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Marginal outcome presented in this way for consistency with other measures in this table. Supporting calculations demonstrated in <xref rid="SD2" ref-type="supplementary-material">Appendix Table 1</xref> (available online).</p></fn><fn id="TFN10"><label>i</label><p>Assumed.</p></fn><fn id="TFN11"><label>j</label><p>Marginal probability represents the estimated probability of cervical cancer among all female victims with lifetime experience of attempted and completed rape, calculated as with (g).<sup><xref rid="R1" ref-type="bibr">1</xref></sup></p></fn><fn id="TFN12"><label>k</label><p>See <xref rid="T2" ref-type="table">Table 2</xref>.</p></fn><fn id="TFN13"><p>DOJ, U.S. Department of Justice; ED, emergency department; IFHP, International Federation of Health Plans; NA, not applicable; NISVS, U.S. National Intimate Partner and Sexual Violence Survey; SAMHSA, Substance Abuse and Mental Health Services Administration; WISQARS, Web-based Injury Statistics Query and Reporting System; USD, U.S. dollars.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2</label><caption><p>Details of Estimated Criminal Justice Costs (2012 USD)</p></caption><table frame="box" rules="rows"><thead><tr><th align="left" rowspan="2" valign="bottom" colspan="1">Measure</th><th align="center" rowspan="2" valign="bottom" colspan="1">Input</th><th align="center" rowspan="2" valign="bottom" colspan="1">Unit cost<xref rid="TFN15" ref-type="table-fn">a</xref></th><th align="center" colspan="3" valign="bottom" rowspan="1">Attributable to sexual violence</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">Proportion of total</th><th align="center" valign="bottom" rowspan="1" colspan="1">Annual cost</th><th align="center" valign="bottom" rowspan="1" colspan="1">Per convicted perpetrator lifetime cost</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Annual rape victims, <italic>n</italic></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">90,130<xref rid="TFN16" ref-type="table-fn">b</xref></td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Women</td><td align="center" rowspan="1" colspan="1">1,929,000<sup><xref rid="R1" ref-type="bibr">1</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Men</td><td align="center" rowspan="1" colspan="1">219,000<xref rid="TFN17" ref-type="table-fn">c</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Total U.S. Government justice system annual spending, $</td><td align="center" rowspan="1" colspan="1">265,160,340,000<sup><xref rid="R50" ref-type="bibr">50</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">2,702,590,946<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Police protection annual spending, $</td><td align="center" rowspan="1" colspan="1">126,434,125,000<sup><xref rid="R50" ref-type="bibr">50</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual arrests, All offenses, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">11,205,833<sup><xref rid="R51" ref-type="bibr">51</xref></sup></td><td align="center" rowspan="1" colspan="1">11,283<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1">0.2%<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1">237,019,565<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual arrests, Rape offense, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">21,007<sup><xref rid="R51" ref-type="bibr">51</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Judicial and legal annual spending, $</td><td align="center" rowspan="1" colspan="1">57,935,169,000<sup><xref rid="R50" ref-type="bibr">50</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual arrests, All offenses, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">11,205,833<sup><xref rid="R51" ref-type="bibr">51</xref></sup></td><td align="center" rowspan="1" colspan="1">5,170<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1">0.2%<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1">108,608,088<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual arrests, Rape offense, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">21,007<sup><xref rid="R51" ref-type="bibr">51</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Corrections annual spending, $</td><td align="center" rowspan="1" colspan="1">80,791,046,000<sup><xref rid="R50" ref-type="bibr">50</xref></sup></td><td align="center" rowspan="1" colspan="1">11,641<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">2,356,963,293 <xref rid="TFN18" ref-type="table-fn">d</xref></td><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Total corrections population, n<xref rid="TFN19" ref-type="table-fn">e</xref></td><td align="center" rowspan="1" colspan="1">6,940,500<sup><xref rid="R5" ref-type="bibr">5</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Corrections spending per sexual violence perpetrator, $</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">78,603<xref rid="TFN20" ref-type="table-fn">f</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Total estimated corrections duration per sexual violence perpetrator, years, M<xref rid="TFN21" ref-type="table-fn">g</xref></td><td align="center" rowspan="1" colspan="1">7.4<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Proportion of rape perpetrators sentenced to<xref rid="TFN22" ref-type="table-fn">h</xref>:</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Probation, %</td><td align="center" rowspan="1" colspan="1">8<sup><xref rid="R53" ref-type="bibr">53</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Probation term served, all offenses, years, M</td><td align="center" rowspan="1" colspan="1">1.8<sup><xref rid="R54" ref-type="bibr">54</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Jail, %</td><td align="center" rowspan="1" colspan="1">5<sup><xref rid="R53" ref-type="bibr">53</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Jail term served, sexual assault offense, years, M</td><td align="center" rowspan="1" colspan="1">2.2<sup><xref rid="R55" ref-type="bibr">55</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Prison, %</td><td align="center" rowspan="1" colspan="1">84<sup><xref rid="R53" ref-type="bibr">53</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Prison term served, state and federal, years, M<xref rid="TFN23" ref-type="table-fn">i</xref></td><td align="center" rowspan="1" colspan="1">6.4<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;State prison term, rape offense, years, M</td><td align="center" rowspan="1" colspan="1">6.6<sup><xref rid="R56" ref-type="bibr">56</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;Annual state prisoners, rape offense, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">160,900<sup><xref rid="R57" ref-type="bibr">57</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;Federal prison term, sex offense, years, M</td><td align="center" rowspan="1" colspan="1">4.5<sup><xref rid="R58" ref-type="bibr">58</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;Annual federal prisoners, sex offense, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">13,524<sup><xref rid="R59" ref-type="bibr">59</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;&#x02003;Term served on parole, all offenses, years, M<xref rid="TFN24" ref-type="table-fn">j</xref></td><td align="center" rowspan="1" colspan="1">1.8<sup><xref rid="R60" ref-type="bibr">60</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Discount rate for annual spending after Year 1, %</td><td align="center" rowspan="1" colspan="1">3.0<xref rid="TFN25" ref-type="table-fn">k</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Estimated proportion of victims that have a perpetrator convicted, %<xref rid="TFN26" ref-type="table-fn">l</xref></td><td align="center" rowspan="1" colspan="1">1.4<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual offenses known to law enforcement, forcible rape, <italic>n</italic></td><td align="center" rowspan="1" colspan="1">108,612<sup><xref rid="R61" ref-type="bibr">61</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual offenses known, rape, as % of 2010 rape victims reported in NISVS<xref rid="TFN27" ref-type="table-fn">m</xref></td><td align="center" rowspan="1" colspan="1">5.4<xref rid="TFN16" ref-type="table-fn">b</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual cleared offenses, rape, as % of known offenses</td><td align="center" rowspan="1" colspan="1">41<sup><xref rid="R62" ref-type="bibr">62</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;Annual offenses resulting in conviction, forcible rape, as % of annual cleared offenses</td><td align="center" rowspan="1" colspan="1">68<sup><xref rid="R53" ref-type="bibr">53</xref></sup></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN14"><p><italic>Note:</italic> Costs are 2012 USD.</p></fn><fn id="TFN15"><label>a</label><p>Unit cost refers to per offense or person in the corrections population.</p></fn><fn id="TFN16"><label>b</label><p>Calculated from data elsewhere in the table.</p></fn><fn id="TFN17"><label>c</label><p>Unpublished NISVS 2010&#x02013;2012 data from the U.S. Centers for Disease Control and Prevention.</p></fn><fn id="TFN18"><label>d</label><p>Annual cost of corrections spending attributable to sexual violence refers to the lifetime discounted cost of convicted perpetrators that annually enter the corrections system, calculated as the discounted lifetime cost of corrections per perpetrator ($78,603) multiplied by the estimated number of sexual violence perpetrators that are convicted (1.4% of 1,929,000 + 219,000).</p></fn><fn id="TFN19"><label>e</label><p>Total corrections population refers to individuals in prison, jail, probation, parole.</p></fn><fn id="TFN20"><label>f</label><p>Corrections spending per sexual violence perpetrator calculated as average annual spending per person in the corrections population (i.e., $11,641) multiplied by the total estimated corrections duration per sexual violence perpetrator (i.e., 7.4 years), with annual costs after the first year discounted to present value by 3%.</p></fn><fn id="TFN21"><label>g</label><p>Total estimated corrections duration per sexual violence perpetrator calculated as the sum of parole, prison, and probation terms.</p></fn><fn id="TFN22"><label>h</label><p>Sentence type does not sum to 100% (excludes 3% of convicted perpetrators not sentenced to incarceration or probation; no further disposition data available).</p></fn><fn id="TFN23"><label>i</label><p>Combined state and federal prison term served calculated as the average term served in state and federal prison weighted by the number of prisoners at the state and federal level.</p></fn><fn id="TFN24"><label>j</label><p>Parole defined in source as a period of conditional supervised release in the community following a prison term.</p></fn><fn id="TFN25"><label>k</label><p>Assumed.</p></fn><fn id="TFN26"><label>l</label><p>Proportion of rape perpetrators that are convicted calculated as the estimated proportion of total rape offenses known to law enforcement annually (i.e., 5.4%) multiplied by the number of cleared forcible rape offenses annually (i.e., 41%), multiplied by the proportion of forcible rape offenses resulting in a conviction annually (i.e., 68%).</p></fn><fn id="TFN27"><label>m</label><p>Estimated proportion of annual rape offenses known to law enforcement calculated as the number of annual forcible rape offenses known to law enforcement (i.e., 108,612) divided by the estimated annual number of rape victims (i.e., 1,929,000 + 219,000).</p></fn><fn id="TFN28"><p>DOJ, U.S. Department of Justice; FBI, U.S. Federal Bureau of Investigation; NISVS, National Intimate Partner and Sexual Violence Survey; USD, U.S. dollars.</p></fn></table-wrap-foot></table-wrap></floats-group></article>