Opinion: Unraveling the Complex Web of Crime Trends in Colorado’s Counties

Eric Huynh
Fall 2023 — Information Expositions
3 min readSep 30, 2023

Crime is a multifaceted challenge that impacts communities nationwide. My research focused on unraveling the intricate relationship between various types of crimes and Colorado’s counties. By examining data encompassing both criminal incidents from counties in Colorado and their demographics, mainly using their total populations, I conducted a comparative analysis between counties with larger populations and those with smaller populations, showing two noteworthy trends.

Across the majority of counties, crimes against property emerged as the most frequently occurring category. Moreover, an upward trajectory in crime rates and violations became evident over the years.

The crime dataset I employed primarily featured four key crime/violation categories: crimes against persons, crimes against property, drug equipment violations, and drug/narcotic violations. Initially, I presumed that counties with larger populations would exhibit higher crime and violation rates than their smaller counterparts. For instance, in September 2021, Adams County boasted a total population of 520,070, recording 1540 crimes against persons and 4415 crimes against property. In contrast, Yuma County, with only 10,001 people during the same period, reported zero crimes against persons and only six crimes against property. Possibly, counties with larger populations may naturally offer more opportunities for property-related offenses. On the other hand, rural areas with smaller populations may report fewer incidents due to lower population density and less attractive targets.

To gain a more nuanced understanding of crime rates, I calculated per capita crime and violation rates for each county by dividing the total population by the cumulative number of crimes or violations over the years. I was able to see disparities among counties.

Notably, Gilpin County emerged as a standout with the highest per capita averages in multiple categories, including crimes against property (14.64), drug equipment violations (0.80), and drug/narcotic violations (1.17). Adams County, conversely, claimed the highest average for crimes against persons (1.92). Mineral County reported the lowest averages for drug equipment violations (0.0) and crimes against persons (0.11), while Conejos County boasted the lowest average for drug/narcotic violations (0.02). These per capita rates highlight the distribution of crime within counties and emphasize the need for tailored intervention strategies.

Upon comparing each crime and violation category across most counties through a bar graph visualization, a recurring pattern emerged: crimes against property consistently displayed significantly higher averages compared to other crime types. For instance, in Pueblo County, the average for crimes against property stood at 5.11, while the average for drug equipment violations was merely 0.05. This disparity suggests that property-related crimes are more prevalent and may pose a more significant challenge in many counties compared to other crime categories. From what I know, property-related crimes may be contain lower risks, be more convenient, and a lure of monetary profit off of stolen goods.

Additionally, an overarching trend became evident when examining data from 2008 to 2021 across multiple counties: crime rates and violations tended to escalate over the years. As an example, Boulder County, initially reporting 97 crimes against persons in 2008, witnessed a substantial increase, surging to 332 cases by the year 2021. This long-term trend demands a closer look at the factors driving the continuous increase in criminal activity. It may reflect shifting economic conditions, evolving social dynamics, or adjustments in law enforcement strategies. I think deeper research is needed to identify the specific causes behind this trend.

While my analysis provides valuable insights into crime trends and their intersection with demographics in Colorado’s counties, it’s essential to acknowledge the potential limitations. Firstly, my findings are based on statistical data, which inherently simplifies the complex nature of crime. Crime is influenced by many factors, including socio-economic conditions and cultural dynamics which my analysis may not fully capture. Additionally, I do not delve into the qualitative aspects of crime, such as the motivations behind criminal behavior or the efficacy of law enforcement strategies. I am merely trying my best to find takeaways from the datasets and provide my analysis on the trends of crimes and violations over the years.

In conclusion, we can see valuable insights into the complex relationship between crime, populations and trends in counties of Colorado. The prevalence of crimes against property highlights the need for tailored prevention efforts, while the consistent increase in crime rates over time calls for a deeper understanding of the underlying factors. Policymakers, law enforcement agencies, and community leaders can use this information to develop more effective strategies for enhancing public safety and addressing the unique challenges faced by each county. Further research is imperative to uncover the root causes behind these trends and find interventions for the benefit of communities across Colorado.

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