Prior research suggests there are inconsistencies between the UCR and other National-level crime data sources. Less research has tested whether similar inconsistencies exist between UCR and State annual crime reports. The current study compared 48 U.S. State’s Part I offense counts to the FBI’s UCR’s Part I offense counts for the years 2000–2018. Paired samples t-tests revealed significant differences for specific Part I offense counts as reported by individual States and the UCR. Percentage differences further indicated that the magnitudes of differences were substantively meaningful. Pairwise correlations indicated strong linear associations and convergence between State and UCR Part I offenses Nationally, but convergence diminished when assessing individual States. Frequency and percentage differences were treated as dependent variables in multivariate models. Results from OLS regressions suggest certain State-level factors significantly predict the observed differences between State and UCR reported Part I offenses. These results reveal that inconsistencies exist between two official data sources which have the same origin.

先前的研究表明，UCR 与其他国家级犯罪数据源之间存在不一致。很少有研究测试 UCR 和州年度犯罪报告之间是否存在类似的不一致。当前的研究将 2000 年至 2018 年间 48 项美国州的第一部分犯罪计数与联邦调查局的 UCR 第一部分犯罪计数进行了比较。配对样本 t 检验揭示了个别国家和 UCR 报告的特定第一部分犯罪计数的显着差异。百分比差异进一步表明差异的幅度具有实质性意义。成对相关性表明，在全国范围内，州和 UCR 第一部分犯罪之间存在很强的线性关联和趋同，但在评估个别州时趋同性减弱。频率和百分比差异被视为多元模型中的因变量。OLS 回归的结果表明，某些州级因素显着预测了州和 UCR 报告的第一部分犯罪之间观察到的差异。这些结果表明，两个具有相同来源的官方数据来源之间存在不一致。