John Mitchellmazala Moody Professor Brown Math April 1st 202

John Mitchellmazala Moodyprofessor Brownmath 36april 1st 2020fina

Crime. We’ve all heard about it on the news or on social media. And what we hear about the most—despite the fact that it is by far not the most common kind of crime—is violent crime, defined by the FBI as consisting of four offenses: murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. But exactly how common is violent crime across the country? Do certain areas experience more violent crime?

And if so, why? What factors are linked to violent crime, and why? What is the link between violent crime, poverty, and education? Stay tuned to find out! In terms of total violent crimes committed, in 2011 there were an estimated total of 1,203,564 violent crimes committed nationwide, with the vast majority of 62.4% being instances of aggravated assault. (I plan to get clearer images) But where did those crimes take place?

Did certain areas experience more violent crime than others? If so, why? First, as we can see, many of the major clusters of violent crime are located in major cities, including New York, Los Angeles, and Chicago. If those three cities sound familiar, they also happen to be the three largest cities in the United States. So violent crime has a definite correlation with large population clusters, but is this simply because there are more people around to commit crimes, or are there other factors at work here?

Let’s look closer. If we look at the numbers of families with income below poverty level, what do we see? The clusters match up very closely with those of violent crime, with the largest numbers centered again on major cities such as New York, Los Angeles, and Chicago. So as we can see, there is a very close correlation between there are a lot of people living in poverty, and where a lot of people are committing violent crimes. Note that these are raw numbers, not percentages, but they can still give us a valuable picture of where the most crime is occurring, and why that might be.

But let’s look closer still. When we look at which areas have the most people 25 years of age or older who have completed less than high school, the map again shows us massive clusters of people in the big cities again. Los Angeles County features a whopping 23.73% of people 25 years of age or older having completed less than high school. Bronx County, New York, is even worse, with a staggering 30.71% percent. What else do these areas have lots of?

You guessed it, violent crime! So it is clear that violent crime is linked very closely with poverty, and perhaps even more closely with a lack of education. So what should be done to fix the problem? Well, to start with, increasing funding and access to education has been shown many times to decrease people’s chances of living in poverty and of committing violent—and other types of—crime. (im trying to find more reliable data that compares education, poverty, and violent crimes) still need to add Sources: 10/21/19, 9:01 PMtemplate.png 899à—690 pixels Project Description CIS 4321 Spring 2020 Dr. Batarseh In this project, you experience the full cycle of the data mining process.

Paper For Above instruction

This academic paper explores the intricate relationship between violent crime, poverty, and education in the United States, analyzing how these factors interplay to influence crime rates across various regions. The aim is to identify and interpret significant patterns via data mining techniques to inform policy decisions and community interventions.

Violent crime, as defined by the FBI, encompasses murder, non-negligent manslaughter, forcible rape, robbery, and aggravated assault. The prevalence and distribution of these crimes vary across the country, with historical data indicating substantial regional disparities. In 2011, the United States reported approximately 1.2 million violent crimes, the majority being aggravated assaults. Major urban centers like New York City, Los Angeles, and Chicago experience higher concentrations of violent crime, largely due to their dense populations. However, the correlation is more nuanced than mere population size.

Research indicates a close association between violent crime and socioeconomic factors such as poverty and education levels. Spatial analyses often reveal overlapping clusters of high crime rates, poverty, and low educational attainment. For example, Los Angeles County reports a mean of 23.73% of adults over 25 with less than a high school diploma, while Bronx County surpasses 30.7%. These data points suggest a compelling link: regions with higher poverty and lower educational attainment tend to experience elevated violent crime rates.

This correlation has been substantiated by multiple studies validating that socioeconomic disadvantages are significant predictors of criminal activity. Poverty reduces access to resources, fostering environments where crime becomes a perceived necessity or economic opportunity. Similarly, educational deficiencies limit employment prospects, perpetuating poverty cycles and escalating criminal behaviors.

Addressing these issues requires targeted policy interventions aimed at socioeconomic upliftment. Increasing access to quality education has consistently demonstrated a reduction in both poverty rates and violent crime. Education empowers individuals with skills and opportunities, decreasing their likelihood of engaging in criminal activity. Furthermore, community programs focusing on economic development, job creation, and social cohesion are essential complementary strategies.

Recent data mining projects utilizing datasets such as the Uniform Crime Reporting Program and Census Bureau data reinforce these findings. Applying techniques like clustering, regression analysis, and feature selection enables researchers to identify high-risk regions and influential socioeconomic variables. These insights facilitate informed policymaking aimed at crime prevention through social investment.

The limitations of current data include the lag in reporting, potential underreporting, and the aggregation of data at regional levels, which may mask intra-regional variations. Despite these, the evidence vividly supports the hypothesis that poverty and low educational attainment are key drivers of violent crime. Policymakers, law enforcement agencies, and social workers can leverage these insights to develop holistic, data-driven strategies for crime reduction.

Future research should focus on longitudinal datasets to examine causality more precisely and evaluate the impact of policy interventions over time. Additionally, incorporating qualitative data, such as community surveys, can provide a more comprehensive understanding of the contextual factors influencing violence. Overall, targeted efforts to improve education and economic conditions are crucial for sustainable reductions in violent crime.

References

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