This article delves into the complexities of statistical biases, ambiguities of measurement, and suggestions for further analysis of trends of femicide. The collection of data concerning femicide can be challenging. Data often lacks completeness and may not fully represent the victim population in terms of statistics. The ambiguity of measurement scales can impact the data presentation. Furthermore, data collection and presentation on mortality, specifically about femicide, can be dangerous and present additional concerns for the publisher. Thus, despite the challenges of statistical biases and ambiguities of measurement, as higher-quality data on femicide becomes available, new opportunities are presented to employ statistical methods and procedures to examine patterns of violence among women and girls. In turn, it can help inform policy initiatives. It is essential to use caution when drawing population-level conclusions from incomplete data sets, as this can lead to misunderstandings of the underlying dynamics of violence.