We examined the influence of racial and ethnic identity of residents and housing market economic conditions on redlining. Data were extracted from archival area description forms from the Home Owners’ Loan Corporation for 568 Ohio neighborhoods from 1934–1940. Logistic regression analysis was used to analyze the relationships between neighborhood characteristics and redlining. Bivariate results indicated a strong association between the presence of African American residents and neighborhood redlining (OR = 40.9, 95% CI 22.9-72.8). Multivariable analysis demonstrated that some neighborhood characteristics were contributors to the decision to redline, including homes in poor condition (OR = 4.3, 95% CI 1.2-15.1), home vacancy (OR = 1.4, 95% CI 1.1-1.6), and housing prices (per thousand dollars) (OR = 0.7, 95% CI 0.4-1.2). Adjusting for these and other factors, the presence of African American residents remained a powerful predictor of redlining (OR = 13.8, 95% CI 4.4-42.8). Racial discrimination was the overriding factor in decisions to redline neighborhoods.