Whether hate crime against minority groups increases or decreases over time underpins important theoretical and policy questions. However, the ability to capture trends is limited due to a dearth of data and measurement problems, especially in countries where there is no official register of hate crime. Using Chile as a case study, we compare longitudinal data from victimization surveys, registers of community organizations and mainstream media reports. The results allow us to discuss opportunities and limitations of triangulating different data sources to capture trends of hate crime. Our study results show a general increase in trends of hate crimes in Chile between 2015 and 2019, but important differences between data sources and victim groups (we consider LGBTI, migrant and Indigenous victims). We propose that the qualitative difference in the size of variation across different sources is explained by different biases of the data, which we review. This article illustrates the importance of disaggregating hate crimes because trends, correlates and key predictors often differ depending on the type of hate crime and the source of data.

随着时间的流逝，针对少数群体的仇恨犯罪是增加还是减少，这成为重要的理论和政策问题的基础。但是，由于缺乏数据和度量问题，捕获趋势的能力受到限制，尤其是在没有官方仇恨犯罪登记簿的国家中。以智利为例，我们比较了受害情况调查，社区组织登记册和主流媒体报道的纵向数据。结果使我们能够讨论对不同数据源进行三角剖分以捕获仇恨犯罪趋势的机会和局限性。我们的研究结果表明，2015年至2019年期间智利仇恨犯罪趋势总体呈上升趋势，但数据来源与受害者群体（我们考虑LGBTI，移民和土著受害者）之间存在重要差异。我们建议，通过不同的数据偏差来解释不同来源之间差异大小的质量差异，我们将对其进行回顾。本文说明了分解仇恨犯罪的重要性，因为趋势，相关性和主要预测因素通常会因仇恨犯罪的类型和数据来源而有所不同。