Enduring disinvestment can lead to different socioeconomic trajectories and the clustering of distressed, blighted urban areas. Do these differential trajectories explain present-day public safety? This study examines the long-term public safety impacts of the residential security maps, the once-legal 1930s racially discriminatory maps used to determine the real estate market’s “risk” of lower property values, limiting residential loans to racial-minority individuals. This research collects incident-level data from 48 police departments and compares areas near different color-grade boundaries around a small bandwidth in a spatial regression discontinuity design. Neighborhoods differed along sociodemographic dimensions before the introduction of redlining maps. There are significant increases in present-day violent, property, low-level, and weapon-related offenses in redlined areas, even after controlling for historical differences. There is some evidence that present-day law enforcement, as measured by arrests, police stops, and calls for service, was also affected. Redlining maps may have exacerbated neighborhood disadvantages, potentially preventing safer neighborhoods in the long run, although their impact may be smaller than previously suggested.
AaronsonD.FaberJ.HartleyD.MazumderB.SharkeyP. (2021). The long-run effects of the 1930s HOLC “redlining” maps on place-based measures of economic opportunity and socioeconomic success. Regional Science and Urban Economics, 86, 103622.
2.
AaronsonD.HartleyD.MazumderB. (2021). The effects of the 1930s HOLC” redlining” maps. American Economic Journal: Economic Policy, 13(4), 355–392.
3.
AgnewR. (1985). A revised strain theory of delinquency. Social Forces, 64(1), 151–167.
4.
AlpertG. P.MacDonaldJ. M.DunhamR. G. (2005). Police suspicion and discretionary decision making during citizen stops. Criminology, 43(2), 407–434.
5.
AndersJ. (2023). The long run effects of de jure discrimination in the credit market: How redlining increased crime. Journal of Public Economics, 222, Article 104857.
6.
AppelI.NickersonJ. (2016). Pockets of poverty: The long-term effects of redlining (SSRN 2852856). SSRN.
7.
BartikT. J. (2020). Using place-based jobs policies to help distressed communities. Journal of Economic Perspectives, 34(3), 99–127.
8.
BennsM.RutherM.NashN.BozemanM.HarbrechtB.MillerK. (2020). The impact of historical racism on modern gun violence: Redlining in the city of Louisville, KY. Injury, 51(10), 2192–2198.
9.
BergéL. (2018). Efficient estimation of maximum likelihood models with multiple fixed-effects: The R package FENmlm (CREA Discussion Papers, (13)). CREA.
10.
BernascoW.ElffersH. (2010). Statistical analysis of spatial crime data. In PiqueroA.WeisburdD. (Eds.), Handbook of quantitative criminology (pp. 699–724). Springer.
11.
BesbrisM.FaberJ. W.SharkeyP. (2019). Disentangling the effects of race and place in economic transactions: Findings from an online field experiment. City & Community, 18(2), 529–555.
12.
BillingsS. B.DemingD. J.RockoffJ. (2014). School segregation, educational attainment, and crime: Evidence from the end of busing in Charlotte-Mecklenburg. The Quarterly Journal of Economics, 129(1), 435–476.
13.
BragaA. A.BrunsonR. K.DrakulichK. M. (2019). Race, place, and effective policing. Annual Review of Sociology, 45, 535–555.
14.
BragaA. A.CookP. J.DouglasS. (2022). Prevention strategies for policing gun violence. The ANNALS of the American Academy of Political and Social Science, 704(1), 158–180.
15.
BranasC. C.SouthE.KondoM. C.HohlB. C.BourgoisP.WiebeD. J.MacDonaldJ. M. (2018). Citywide cluster randomized trial to restore blighted vacant land and its effects on violence, crime, and fear. Proceedings of the National Academy of Sciences USA, 115(12), 2946–2951.
16.
BrantinghamP. J.UchidaC. D. (2021). Public cooperation and the police: Do calls-for-service increase after homicides?Journal of Criminal Justice, 73, Article 101785.
17.
BrunsonR. K.WeitzerR. (2009). Police relations with black and white youths in different urban neighborhoods. Urban Affairs Review, 44(6), 858–885.
18.
BursikR. J.Jr. (1988). Social disorganization and theories of crime and delinquency: Problems and prospects. Criminology, 26(4), 519–552.
19.
CalonicoS.CattaneoM. D.TitiunikR. (2015). Rdrobust: An r package for robust nonparametric inference in regression-discontinuity designs. R Journal, 7(1), 38.
20.
CarrilloP. E.Lopez-LuzuriagaA.MalikA. S. (2018). Pollution or crime: The effect of driving restrictions on criminal activity. Journal of Public Economics, 164, 50–69.
21.
*CattaneoM. D.JanssonM.MaX. (2018). Manipulation testing based on density discontinuity. The Stata Journal, 18(1), 234–261.
22.
ChalfinA.HansenB.WeisburstE. K.WilliamsM. C.Jr. (2022). Police force size and civilian race. American Economic Review: Insights, 4(2), 139–158.
23.
ClarkeR. V. (1983). Situational crime prevention: Its theoretical basis and practical scope. Crime and Justice, 4, 225–256.
24.
ClarkeR. V.CornishD. B. (1985). Modeling offenders’ decisions: A framework for research and policy. Crime and Justice, 6, 147–185.
25.
ConleyT. G. (1999). GMM estimation with cross sectional dependence. Journal of Econometrics, 92(1), 1–45.
26.
CurmanA. S.AndresenM. A.BrantinghamP. J. (2015). Crime and place: A longitudinal examination of street segment patterns in Vancouver, BC. Journal of Quantitative Criminology, 31, 127–147.
27.
DellM. (2010). The persistent effects of Peru’s mining Mita. Econometrica, 78(6), 1863–1903.
28.
DragoneD.PraroloG.VaninP.ZanellaG. (2019). Crime and the legalization of recreational marijuana. Journal of Economic Behavior & Organization, 159, 488–501.
29.
DunningtonD. (2025). ggspatial: Spatial data framework for ggplot2. R package version 1.1.10.
30.
FaberJ. (2021). Contemporary echoes of segregationist policy: Spatial marking and the persistence of inequality. Urban Studies, 58(5), 1067–1086.
31.
FaberJ. W. (2020). We built this: Consequences of new deal era intervention in America’s racial geography. American Sociological Review, 85(5), 739–775.
32.
Federal Housing Administration. (1936). Underwriting manual: Underwriting analysis under title II (Technical report).
33.
FishbackP. V.Flores-LagunesA.HorraceW. C.KantorS.TreberJ. (2011). The influence of the home owners’ loan corporation on housing markets during the 1930s. The Review of Financial Studies, 24(6), 1782–1813.
34.
FishbackP. V.LaVoiceJ.ShertzerA.WalshR. (2020). The HOLC maps: How race and poverty influenced real estate professionals’ evaluation of lending risk in the 1930s (Technical report). National Bureau of Economic Research.
35.
FishbackP. V.LaVoiceJ.ShertzerA.WalshR. P. (2023). The HOLC maps: How race and poverty influenced real estate professionals’ evaluation of lending risk in the 1930s. The Journal of Economic History, 83(4), 1019–1056.
HillierA. E. (2003). Redlining and the home owners’ loan corporation. Journal of Urban History, 29(4), 394–420.
38.
HillierA. E. (2005). Residential security maps and neighborhood appraisals: The home owners’ loan corporation and the case of Philadelphia. Social Science History, 29(2), 207–233.
39.
HlavacM. (2022). stargazer: Well-formatted regression and summary statistics tables. Social Policy Institute. R package version 5.2.3.
40.
HoffmanJ. S.ShandasV.PendletonN. (2020). The effects of historical housing policies on resident exposure to intra-urban heat: A study of 108 us urban areas. Climate, 8(1), 12.
41.
ImbensG.KalyanaramanK. (2012). Optimal bandwidth choice for the regression discontinuity estimator. The Review of Economic Studies, 79(3), 933–959.
42.
JacksonK. T. (1980). Race, ethnicity, and real estate appraisal: The home owners loan corporation and the federal housing administration. Journal of Urban History, 6(4), 419–452.
43.
JacobyS. F.DongB.BeardJ. H.WiebeD. J.MorrisonC. N. (2018). The enduring impact of historical and structural racism on urban violence in Philadelphia. Social Science & Medicine, 199, 87–95.
44.
JefferyC. (1969). Crime prevention and control through environmental engineering. Criminologica, 7, 35.
45.
Jones-CorreaM. (2000). The origins and diffusion of racial restrictive covenants. Political Science Quarterly, 115(4), 541–568.
KrivoL. J.KaufmanR. L. (2004). Housing and wealth inequality: Racial-ethnic differences in home equity in the United States. Demography, 41(3), 585–605.
48.
LaddH. F. (1994). Spatially targeted economic development strategies: Do they work?Cityscape, 1(1), 193–218.
49.
LyonsC. J.VelezM. B.ChenX. (2023). Inheriting the grade: HOLC “redlining” maps and contemporary neighborhood crime. Socius, 9, 23780231231197030.
50.
MacDonaldJ. M.KlickJ.GrunwaldB. (2016). The effect of private police on crime: Evidence from a geographic regression discontinuity design. Journal of the Royal Statistical Society. Series A (Statistics in Society), 179, 831–846.
51.
MasseyD. S. (2015). The legacy of the 1968 fair housing act. Sociological Forum, 30, 571–588.
52.
*McCraryJ. (2008). Manipulation of the running variable in the regression discontinuity design: A density test. Journal of Econometrics, 142(2), 698–714.
53.
MertonR. K. (1938). Social structure and anomie. American Sociological Review, 3(5), 672–682.
54.
MichneyT. M.WinlingL. (2020). New perspectives on New Deal housing policy: Explicating and mapping HOLC loans to African Americans. Journal of Urban History, 46(1), 150–180.
55.
MitchellJ.ChihayaG. K. (2022). Tract level associations between historical residential redlining and contemporary fatal encounters with police. Social Science & Medicine, 302, Article 114989.
56.
Mitre-BecerrilD.MacDonaldJ. M. (2024). Does urban development influence crime? Evidence from Philadelphia’s new zoning regulations. Journal of Urban Economics, 142, Article 103667.
57.
Mitre-BecerrilD.TahamontS.LernerJ.ChalfinA. (2022). Can deterrence persist? Long-term evidence from a randomized experiment in street lighting. Criminology & Public Policy, 21(4), 865–891.
58.
MooreM. H. (1980). The police and weapons offenses. The ANNALS of the American Academy of Political and Social Science, 452(1), 22–32.
59.
NardoneA.CaseyJ. A.Morello-FroschR.MujahidM.BalmesJ. R.ThakurN. (2020). Associations between historical residential redlining and current age-adjusted rates of emergency department visits due to asthma across eight cities in California: An ecological study. The Lancet Planetary Health, 4(1), e24–e31.
60.
NelsonR. K.WinlingL.MarcianoR.ConnolyN. (2023). Mapping inequality (Technical report). American Panorama.
61.
NeumarkD.SimpsonH. (2015). Place-based policies. In DurantonG.HendersonJ. V.StrangeW. (Eds.), Handbook of regional and urban economics (Vol. 5, 1197–1287). Elsevier.
62.
NoelkeC.OutrichM.BaekM.ReeceJ.OsypukT. L.McArdleN.ResslerR. W.Acevedo-GarciaD. (2022). Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities. PLoS ONE, 17(5), e0267606.
63.
OpenshawS. (1984). The Modifiable Areal Unit Problem (Concepts and Techniques in Modern Geography) (Vol. 38). Geo Books
64.
PebesmaE. (2018). Simple features for R: Standardized support for spatial vector data. The R Journal, 10(1), 439–446.
65.
PetersonR. D.KrivoL. J.HarrisM. A. (2000). Disadvantage and neighborhood violent crime: Do local institutions matter?Journal of Research in Crime and Delinquency, 37(1), 31–63.
66.
PoulsonM.NeufeldM. Y.DechertT.AlleeL.KenzikK. M. (2021). Historic redlining, structural racism, and firearm violence: A structural equation modeling approach. The Lancet Regional Health Americas, 3, Article 100052.
67.
RatcliffeJ. (2010). Crime mapping: Spatial and temporal challenges. In PiqueroA.WeisburdD. (Eds.), Handbook of quantitative criminology (pp. 5–24). Springer.
68.
RatcliffeJ. H. (2004). Geocoding crime and a first estimate of a minimum acceptable hit rate. International Journal of Geographical Information Science, 18(1), 61–72.
69.
RoseJ. D. (2011). The incredible HOLC? Mortgage relief during the great depression. Journal of Money, Credit and Banking, 43(6), 1073–1107.
70.
RugglesS.FitchC. A.GoekenR.HackerJ. D.NelsonM. A.RobertsE.SchouweilerM.SobekM. (2021). IPUMS ancestry full count data: Version 3.0 [dataset]. IPUMS, 10, D010.
71.
RyanH. (2018). Were the HOLC residential security maps the origin of redlining?Oregon Historical Quarterly, 119(4), 538–543.
72.
SampsonR. J.BartuschD. J. (1998). Legal cynicism and (subcultural?) tolerance of deviance: The neighborhood context of racial differences. Law & Society Review, 32(4), 777–804.
73.
SampsonR. J.GrovesW. B. (1989). Community structure and crime: Testing social-disorganization theory. American Journal of Sociology, 94(4), 774–802.
74.
SaporuD. F.PattonC. L.III.KrivoL. J.PetersonR. D. (2011). Differential benefits? crime and community investments in racially distinct neighborhoods. Race and Justice, 1(1), 79–102.
75.
ShawC. R.McKayH. D. (1942). Juvenile delinquency and urban areas: A study of rates of delinquents in relation to differential characteristics of local communities in American cities. The University of Chicago Press.
76.
ShertzerA.TwinamT.WalshR. P. (2018). Zoning and the economic geography of cities. Journal of Urban Economics, 105, 20–39.
77.
SoodA.SpeagleW.Ehrman-SolbergK. (2019). Long shadow of racial discrimination: Evidence from housing covenants of Minneapolis (SSRN 3468520). SSRN.
78.
SouthE. C.MacDonaldJ. M.TamV. W.RidgewayG.BranasC. C. (2023). Effect of abandoned housing interventions on gun violence, perceptions of safety, and substance use in black neighborhoods: A citywide cluster randomized trial. JAMA Internal Medicine, 183(1), 31–39.
79.
Von HoffmanA. (2008). The lost history of urban renewal. Journal of Urbanism, 1(3), 281–301.
80.
WeisburdD.BushwayS.LumC.YangS.-M. (2004). Trajectories of crime at places: A longitudinal study of street segments in the city of Seattle. Criminology, 42(2), 283–322.
81.
WeisburdD.EckJ. E.BragaA. A.TelepC. W.CaveB.BowersK.BruinsmaG.GillC.GroffE. R.HibdonJ.JohnsonS.LawtonB, et al. (2016). Methods of place-based research (pp. 86–112). Cambridge University Press.
82.
WilsonW. J. (2003). Race, class and urban poverty: A rejoinder. Ethnic & Racial Studies, 26(6), 1096–1114.
83.
WilsonW. J. (2008). The political and economic forces shaping concentrated poverty. Political Science Quarterly, 123(4), 555–571.
84.
WoodsL. L. (2012). The federal home loan bank board, redlining, and the national proliferation of racial lending discrimination, 1921–1950. Journal of Urban History, 38(6), 1036–1059.
85.
WrightC. D. (1893). The relation of economic conditions to the causes of crime: “The destruction of the poor is their poverty.”-proverbs x. 15. The ANNALS of the American Academy of Political and Social Science, 3(6), 96–116.
86.
XieM.BaumerE. P. (2019). Crime victims’ decisions to call the police: Past research and new directions. Annual Review of Criminology, 2(1), 217–240.
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