By Ben Grunwald and Jeffrey Fagan

In 2000, the Supreme Court held in Illinois v. Wardlow that a suspect’s presence in a “high-crime area” is relevant in determining whether an officer has reasonable suspicion to conduct an investigative stop. Despite the importance of the decision, the Court provided no guidance about what that standard means, and over fifteen years later, we still have no idea how police officers understand and apply it in practice. This Article conducts the first empirical analysis of Wardlow by examining data on over two million investigative stops conducted by the New York Police Department from 2007 to 2012. Our results suggest that Wardlow may have been wrongly decided. Specifically, we find evidence that officers often assess whether areas are high crime using a very broad geographic lens; that they call almost every block in the city high crime; that their assessments of whether an area is high crime are nearly uncorrelated with actual crime rates; that the suspect’s race predicts whether an officer calls an area high crime as well as the actual crime rate; that the racial composition of the area and the identity of the officer are stronger predictors of whether an officer calls an area high crime than the crime rate itself; and that stops are less or as likely to result in the detection of contraband when an officer invokes high-crime area as a basis of a stop. We conclude with several policy proposals for courts, police departments, and scholars to help address these problems in the doctrine.

California Law Review 345-404 (2019

By Robert D. Crutchfield 

Are the unemployed more likely to commit crimes? Does having a job make one less likely to commit a crime? Criminologists have found that individuals who are marginalized from the labor market are more likely to commit crimes, and communities with more members who are marginal to the labor market have higher rates of crime. Yet, as Robert Crutchfield explains, contrary to popular expectations, unemployment has been found to be an inconsistent predictor of either individual criminality or collective crime rates. In Get a Job, Crutchfield offers a carefully nuanced understanding of the links among work, unemployment, and crime.

Crutchfield explains how people’s positioning in the labor market affects their participation in all kinds of crimes, from violent acts to profit-motivated offenses such as theft and drug trafficking. Crutchfield also draws on his first-hand knowledge of growing up in a poor, black neighborhood in Pittsburgh and later working on the streets as a parole officer, enabling him to develop a more complete understanding of how work and crime are related and both contribute to, and are a result of, social inequalities and disadvantage. Well-researched and informative, Get a Job tells a powerful story of one of the most troubling side effects of economic disparities in America.

New York; London: NYU Press, 2014. 303p.

By Richard Rosenfeld, James Austin

Employing a small number of predictive variables, the authors of this report created statistical models to forecast violent and property crime rates in New York City. The models estimated yearly changes in New York City’s crime rates from the early 1960s through 2021, estimates that corresponded very closely to the actual rates. The authors then used these models to forecast annual changes in crime rates through 2026. The forecast for violent crime is a slight decrease each year through 2026, while the forecast for property crime shows slight yearly increases. Finally, the projected impact on New York City’s violent crime rate of reducing the state imprisonment rate by 25% would be minimal. No association was found between imprisonment rates and property crime.

New York: Harry Frank Guggenheim Foundation. 2023, 18pg