An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias
Open accessAbstract
Recent studies by police departments and researchers confirm that police stop persons of racial and ethnic minority groups more often than whites relative to their proportions in the population. However, it has been argued that stop rates more accurately reflect rates of crimes committed by each ethnic group, or that stop rates reflect elevated rates in specific social areas, such as neighborhoods or precincts. Most of the research on stop rates and police–citizen interactions has focused on traffic stops, and analyses of pedestrian stops are rare. In this article we analyze data from 125,000 pedestrian stops by the New York Police Department over a 15-month period. We disaggregate stops by police precinct and compare stop rates by racial and ethnic group, controlling for previous race-specific arrest rates. We use hierarchical multilevel models to adjust for precinct-level variability, thus directly addressing the question of geographic heterogeneity that arises in the analysis of pedestrian stops. We find that persons of African and Hispanic descent were stopped more frequently than whites, even after controlling for precinct variability and race-specific estimates of crime participation.
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Gelman, Fagan, and Kiss (2007) produce estimates that-by the authors' calculations-imply 32% of black-civilian stops made by the NYPD could not be explained even by differential criminality between racial groups of suspects, as proxied by prior arrest rates.
“Using the SQF data and controlling for precinct, suspected crime, and prior local arrest rates by race, Gelman, Fagan, and Kiss (2007) produce estimates that -by our calculations -imply 32% of black-civilian stops made by the NYPD could not be explained even by differential criminality between racial groups of suspects, as proxied by prior arrest rates.”
From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss (2007)
Section 5.1 reports estimates by suspected crime and precinct showing that, relative to prior arrests, Black civilians were stopped more often than white civilians for the most common stop categories. Section 6 concludes that prior arrest rates and precinct do not explain the disparities. The cited paper does not give or verify the citing authors’ calculation that 32% of all Black-civilian stops were unexplained. (LLM, conf=0.81)
Experimental — accuracy not yet measuredThese stops and searches are less likely to lead to a finding of contraband or arrest, indicating poorer accuracy (lower hit rates) when young minority men are targeted.
“These stops and searches are less likely to lead to a finding of contraband or arrest, indicating poorer accuracy (lower hit rates) when young minority men are targeted (Gelman, Fagan, and Kiss 2007;Goel et al. 2017).”
From Body Cameras, Big Data, and Police Accountability (2018) · cites this paper as Gelman, Fagan, and Kiss 2007
Section 5.3 (page unavailable) reports that stops of Black and Hispanic people were less likely than stops of white people to lead to arrest, describing the former as less efficient. It does not report a comparable contraband-finding rate or establish this result specifically for young minority men. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBlack individuals are more likely to be stopped by police than White individuals, even after a variety of statistical controls have been applied.
“Both recent and decade-old data show that Black individuals are more likely to be stopped by police than White individuals (Fryer, 2016; Gelman et al., 2007; Miller et al., 2017; U.S. Department of Justice, 2016), even after a variety of statistical controls have been applied.”
From Racial Disparities in Police Use of Deadly Force Against Unarmed Individuals Persist After Appropriately Benchmarking Shooting Data on Violent Crime Rates (2021) · cites this paper as Gelman et al., 2007
If a civilian's race affects whether officers choose to stop that civilian, then analyzing administrative police records amounts to conditioning on a variable that is itself affected by suspect race.
“If a civilian ' s race affects whether of fi cers choose to stop that civilian (Gelman, Fagan, and Kiss 2007; Glaser 2014), then analyzing administrative police records amounts to conditioning on a variable that is itself affected by suspect race, namely, whether a suspect appears in the data at all.”
From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss 2007
The analytic approach of Gelman, Fagan, and Kiss (2007) most likely underestimates the proportion of racially discriminatory stops, so the implied value of r is conservative.
“This analytic approach most likely underestimates the proportion of racially discriminatory stops -the number of prior arrests in a precinct and racial group is not a direct measure of criminality, but is itself likely contaminated by discrimination in previous detainments and arrests. We,therefore, regard the value of r implied by Gelman, Fagan, and Kiss (2007) as conservative.”
From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss (2007)
Racial disparities persist even after leading candidate omitted variables, such as differential criminal activity across racial groups, are accounted for.
“A raft of studies have also found that racial disparities persist even after leading candidate omitted variables, such as differential criminal activity across racial groups, are accounted for (Gelman, Fagan, and Kiss 2007).”
From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss 2007
These policing efforts generated racially disparate impacts on police stops and arrests of Black and Hispanic residents.
“Although there is evidence that these NYPD strategies were associated with modest crime control gains (MacDonald et al., 2016;Weisburd et al., 2016), numerous studies suggested that these policing efforts generated racially disparate impacts on police stops and arrests of Black and Hispanic residents (e.g., Fagan & Davies, 2000;Gelman et al., 2007;Jones-Brown et al., 2010).”
From Police reform in public housing contexts: Body‐worn cameras, surveillance, and harm reduction in New York City Housing Authority Developments (2024) · cites this paper as Gelman et al., 2007
Data from New York indicated that blacks and Hispanics are more likely to be stopped and frisked than whites, after controlling for precinct and rates of crime commission.
“Data from New York, one of the jurisdictions that collected stop and frisk data because of a court order, indicated that blacks and Hispanics are more likely to be stopped and frisked than whites, after controlling for precinct and rates of crime commission (Gelman, Fagan, and Kiss 2007;Goel et al. 2017).”
From Body Cameras, Big Data, and Police Accountability (2018) · cites this paper as Gelman, Fagan, and Kiss 2007
The corresponding values of r from Gelman et al. and Goel et al. are 0.32 and a lower bound of 0.34, respectively, when considering black civilians.
“The corresponding values of r from these two studies are 0.32 and a lower bound of 0.34, respectively, when considering black civilians.”
From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss (2007)
Section 5.1 reports stop-rate comparisons for black civilians, and Section 5.3 reports that approximately 1 in 9.5 black civilians stopped were arrested. Neither passage identifies an r value of 0.32, and searches for 0.32 and related stop-rate and hit-rate terms found no such value in our copy. The Goel et al. value is not being judged against this source. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Cites
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) · doi:10.1201/b16018 · Cited by 27,276 · see citing works
Self-citationPager, D. (2003) · American Journal of Sociology · doi:10.1086/374403 · Cited by 2,840 · see citing works
Outcome Tests of Racial Disparities in Police Practices
Ayres, I. (2002) · Justice Research and Policy · doi:10.3818/jrp.4.1.2002.131 · Cited by 156 · see citing works
Flagged first, then by citations
Research works printed but not linked: 39
- Cole, D. (1999), No Equal Justice: Race and Class in the Criminal Justice System, New York: New Press.
- Eck, J., and Maguire, E. R. (2000), "Have Changes in Policing Reduced Violent Crime: An Assessment of the Evidence," in The Crime Drop in America, eds. A. Blumstein and J. Wallman, New York: Cambridge University Press, pp. 207-265.
- Fagan, J., and Davies, G. (2000), "Street Stops and Broken Windows: Terry, Race, and Disorder in New York City," Fordham Urban Law Journal, 28, 457-504. (2003), "Policing Guns: Order Maintenance and Crime Control in New York," in Guns, Crime, and Punishment in America, ed. B. Harcourt, New York: New York University Press, pp. 191-221.
- Fagan, J., Zimring, F. E., and Kim, J. (1998), "Declining Homicide in New York: A Tale of Two Trends," Journal of Criminal Law and Criminology, 88, 1277-1324.
- Garrett, B. (2001), "Remedying Racial Profiling Through Partnership, Sta- tistics, and Reflective Policing," Columbia Human Rights Law Review, 33, 41-148.
- Gross, S. R., and Barnes, K. Y. (2002), "Road Work: Racial Profiling and Drug Interdiction on the Highway," Michigan Law Review, 101, 653-754.
- Gross, S. R., and Livingston, D. (2002), "Racial Profiling Under Attack," Columbia Law Review, 102, 1413-1438.
- Harcourt, B. E. (1998), "Reflecting on the Subject: A Critique of the Social Influence Conception of Deterrence, the Broken Windows Theory, and Order- Maintenance Policing New York Style," Michigan Law Review, 97, 291. (2001), Illusion of Order: The False Promise of Broken Windows Polic- ing, Cambridge, MA: Harvard University Press.
- Harris, D. A. (1999), "The Stories, the Statistics, and the Law: Why 'Driving While Black' Matters," Minnesota Law Review, 84, 265-326. (2002), Profiles in Injustice: Why Racial Profiling Cannot Work, New York: New Press.
- Kelling, G., and Cole, C. (1996), Fixing Broken Windows, New York: Free Press.
- Kennedy, R. (1997), Race, Crime and Law, Cambridge, MA: Harvard Univer- sity Press.
- Knowles, J., Persico, N., and Todd, P. (2001), "Racial Bias in Motor- Vehicle Searches: Theory and Evidence," Journal of Political Economy, 109, 203-229.
- Loury, G. (2002), The Anatomy of Racial Inequality, Cambridge, MA: Harvard University Press.
- MacDonald, H. (2001), "The Myth of Racial Profiling," City Journal, 11, 2-5.
- Massey, D., and Denton, N. (1993), American Apartheid: Segregation and the Making of the Underclass, Cambridge, MA: Harvard University Press.
- McCullagh, P., and Nelder, J. A. (1989), Generalized Linear Models (2nd ed.), New York: Chapman & Hall.
- Musto, D. (1973), The American Disease, New Haven, CT: Yale University Press.
- Raudenbush, S. W., and Bryk, A. S. (2002), Hierarchical Linear Models (2nd ed.), Thousand Oaks, CA: Sage.
- Reiss, A. (1971), The Police and the Public, New Haven, CT: Yale University Press.
- Richardson, M., and Pittinsky, T. L. (2005), "The Mistaken Assumption of In- tentionality in Equal Protection Law: Psychological Science and the Inter- pretation of the Fourteenth Amendment," KSG Working Paper RWP05-011; available at ssrn.com/abstract=722647.
- Rudovsky, D. (2001), "Law Enforcement by Stereotypes and Serendipity: Racial Profiling and Stops and Searches Without Cause," University of Penn- sylvania Journal of Constitutional Law, 3, 296-366.
- Russell, K. K. (2002), "Racial Profiling: A Status Report of the Legal, Legisla- tive, and Empirical Literature," Rutgers Race and the Law Review, 3, 61-81.
- Sampson, R. J., and Raudenbush, S. W. (1999), "Systematic Social Observa- tion of Public Spaces: A New Look at Disorder in Urban Neighborhoods," American Journal of Sociology, 105, 622-630.
- Skogan, W. (1990), Disorder and Decline: Crime and the Spiral of Decay in American Cities, Berkeley, CA: University of California Press.
- Skogan, W., and Frydl, K. (eds.) (2004), The Evidence on Policing: Fairness and Efffectiveness in Law Enforcement, Washington, DC: National Academy Press.
- Skolnick, J., and Capolovitz, A. (2001), "Guns, Drugs and Profiling: Ways to Target Guns and Minimize Racial Profiling," Arizona Law Review, 43, 413-448.
- Smith, D. A. (1986), "The Neighborhood Context of Police Behavior," in Com- munities and Crime: Crime and Justice: An Annual Review of Research, eds.
- A. J. Reiss and M. Tonry, Chicago: University of Chicago Press, pp. 313-342.
- Smith, M., and Alpert, G. (2002), "Searching for Direction: Courts, Social Sci- ence, and the Adjudication of Racial Profiling Claims," Justice Quarterly, 19, 673-704.
- Smith, M. R., Makarios, M., and Alpert, G. P. (2006), "Differential Suspicion: Theory Specification and Gender Effects in the Traffic Stop Context," Justice Quarterly, 23, 271-295.
- Spitzer, E. (1999), "The New York City Police Department's "Stop and Frisk" Practices," Office of the New York State Attorney General; available at www.oag.state.ny.us/press/reports/stop_frisk/stop_frisk.html.
- Sturtz, S., Ligges, U., and Gelman, A. (2005), "R2WinBUGS: A Package for Running WinBUGS From R," Journal of Statistical Software, 12 (3), 1-16.
- Sykes, R. E., and Clark, J. P. (1976), "A Theory of Deference Exchange in Police-Civilian Encounters," American Journal of Sociology, 81, 587-600.
- Taylor, R. B. (2000), Breaking Away From Broken Windows: Baltimore Neigh- borhoods and the Nationwide Fight Against Crime, Grime, Fear, and Decline, Boulder, CO: Westview Press.
- U.S. 1, U.S. Supreme Court. Thompson, A. (1999), "Stopping the Usual Suspects: Race and the Fourth Amendment," New York University Law Review, 74, 956-1013.
- U.S. v. Martinez-Fuerte (1976), 428 U.S. 543. U.S. Supreme Court. Veneiro, P., and Zoubeck, P. H. (1999), "Interim Report of the State Police Review Team Regarding Allegations of Racial Profiling," Office of the New Jersey State Attorney General.
- Weidner, R. R., Frase, R., and Pardoe, I. (2004), "Explaining Sentence Sever- ity in Large Urban Counties: A Multilevel Analysis of Contextual and Case- Level Factors," Prison Journal, 84, 184-207.
- Weitzer, R. (2000), "Racialized Policing: Residents' Perceptions in Three Neighborhoods," Law and Society Review, 34, 129-155.
- Zimring, F. E. (2006), The Great American Crime Decline, Oxford, U.K.: Ox- ford University Press.
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- Authors
- Gelman, A., Fagan, J., & Kiss, A.
- Affiliations
- Sunnybrook Health Science Centre (CA)
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 102
- Issue
- 479
- Pages
- 813-823
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1996272633
- Cited by
- 873
- References
- 3
- Citations by year
- 2026: 45 · 2025: 69 · 2024: 54 · 2023: 72 · 2022: 88 · 2021: 91 · 2020: 80 · 2019: 75 · 2018: 71 · 2017: 53 · 2016: 53 · 2015: 37 · 2014: 30 · 2013: 12 · 2012: 19
- FWCI
- 39.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Statistical Association (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Social Sciences › Education › Education Discipline and Inequality
- Keywords
- stop and frisk, racial bias in policing, pedestrian stops, African Americans, Hispanic Americans, police precincts, crime rates, police-citizen interaction, New York City Police Department
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