In Peru, the discrepancy in the official figures on femicides – a variable which included only femicides and not attempts despite the thin line that separates them in terms of the intent of victims – has led to an incorrect and partial reading of the phenomenon. To overcome this problem, we build the aggregate feminicide variable (summation of femicides and attempts), and identify its steady and increasing increase over time. On that basis, the aim of this article was to study the macro-social determinants of aggregate femicide. Based on an econometric model of panel data (2009-2013), we obtained evidence of a stronger association between aggregate femicide and protective factors (education, economic autonomy and accessibility to health services) than between aggregate femicide and risk factors (physical violence). Policy involvement points to the need to develop macro-social indicators to improve the focus and effectiveness of public policies on femicides and violence against women.