# Understanding Intimate Partner Violence Through Police Crime Data: Descriptive and Temporal Insights

**Authors:** Charmayne Mary Lee Hughes

PMC · DOI: 10.3390/bs16010048 · Behavioral Sciences · 2025-12-25

## TL;DR

This study analyzes police reports of intimate partner violence in Los Angeles from 2020 to 2023 to understand patterns and trends over time.

## Contribution

The study introduces a novel integration of descriptive and SARIMA temporal analysis to examine IPV trends using police data.

## Key findings

- 74,776 IPV incidents were reported in Los Angeles from 2020 to 2023, averaging 51.22 incidents per day.
- Most incidents occurred in residential settings, and females were the majority of victims.
- Temporal modeling showed stable seasonal patterns with no pandemic-specific shift in call volume.

## Abstract

Police crime reports are a critical but often underutilized source of information for understanding intimate partner violence (IPV). They provide systematic, population-level data on when, where, and how IPV incidents occur, complementing surveys and clinical studies. This study provides a descriptive analysis of IPV crime reports in Los Angeles (January 2020–December 2023) and models temporal trends using Seasonal Autoregressive Integrated Moving Average (SARIMA). Results showed that a total of 74,776 IPV-related incidents were reported to the LAPD in the four-year period, averaging 51.22 incidents per day (SD = 10.84). Most incidents occurred in residential settings (71.9%), followed by public spaces (18.2%) and transportation settings (6.5%). Females accounted for the majority of incidents (77.35%) compared to males (22.65%), and Physical IPV was the most frequently reported subtype (77.0%). Of these Physical IPV reports, most incidents did not involve a weapon (83.82%), while the use of firearms, bladed weapons, blunt objects, and improvised implements was relatively uncommon. Temporal modeling using SARIMA indicated that month-to-month variation was dominated by stable seasonal and autoregressive dynamics, with no evidence of a distinct pandemic-specific shift in call volume. By integrating descriptive and temporal analyses, the study offers actionable insights for public health, law enforcement, and community organizations working to prevent and respond to IPV.

## Full-text entities

- **Diseases:** IPV (MESH:C563733)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12837536/full.md

## References

71 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837536/full.md

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Source: https://tomesphere.com/paper/PMC12837536