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.

我们研究了居民的种族和民族身份以及住房市场经济状况对红线的影响。数据取自房主贷款公司 1934 年至 1940 年间 568 个俄亥俄州社区的档案区域描述表。采用Logistic回归分析方法分析邻里特征与红线之间的关系。双变量结果表明非裔美国居民的存在与社区红线之间存在很强的关联（OR = 40.9，95% CI 22.9-72.8）。多变量分析表明，一些社区特征是红线决定的影响因素，包括状况不佳的房屋（OR = 4.3，95% CI 1.2-15.1）、房屋空置（OR = 1.4，95% CI 1.1-1.6）和住房价格（每千美元）（OR = 0.7，95% CI 0.4-1.2）。调整这些因素和其他因素后，非洲裔美国居民的存在仍然是红线的有力预测因素（OR = 13.8，95% CI 4.4-42.8）。种族歧视是社区红线决定的首要因素。