Crime Against Persons in the United States is the most committed offense in the violent crimes category. This category includes offenses such as homicide, assault, human trafficking, and other crimes that directly harm individuals. Understanding the geographic distribution of these crimes is crucial for identifying patterns and potential areas for intervention, such as those surrounding gun violence. The map below visually represents the total number of crime offenses across each state in 2023, providing a clear view of state disparities. This continues helping to highlight states where interventions are needed to address these public safety concerns. This visualization is intended to inform policymakers, law enforcement, and the public about the prevalence of violent crime.
In 2023, over 3,931,869 total offenses were committed in this category, survey over 278,449,430 million Americans. Of these total offenses, the state Texas has a highest rate of crimes against persons, equating to almost 12% of all offenses. Neither New York or California come nearly as close. Crimes against Persons rates in New York are higher than Texas but Texas equates to more of the overall percentage. Further the question of, “What is the underlying issue or cause?”
To learn more about this issue, visit the FBI Crime Data Explorer.
This chart reveals that Theft was the most frequent offense in 2023, with Assault being a close second. Other offenses such as Gambling, Bribery, and Human Trafficking are significantly less common than many other offenses. These offenses may be less common because they are harder to detect, involve specialized or international crimes, or are influenced by stricter laws and regulations.
To learn more about national crime in 2023, visit this website
| Offense Type | Total |
|---|---|
| Theft | 3863371 |
| Assault | 3647135 |
| Vandalism | 1653806 |
| Drug/Narcotics | 1544907 |
| Fraud Offenses | 911820 |
| Vehicle Theft | 892390 |
| Burglary | 682098 |
| Weapon Law Violation | 355061 |
| Sex Offenses | 213592 |
| Robbery | 179092 |
| Forgery | 153843 |
| Stolen Property | 136240 |
| Kidnapping | 49184 |
| Pornography | 45394 |
| Embezzlement | 35153 |
| Arson | 32301 |
| Blackmail | 27031 |
| Animal Cruelty | 22401 |
| Homicide | 18841 |
| Prostitution | 15657 |
| Human Trafficking | 3117 |
| Gambling | 2804 |
| Bribery | 807 |
Last Updated
Tue. Nov. 19, 2024
Year-to-Date Thefts
12221895
The crime rate per 100 provides a more accurate measure of criminal activity by standardizing offenses relative to population size. This metric allows for a fair comparison across states with varying populations, offering insights into the prevalence of crime within smaller or larger communities. For example, a crime rate of 5 per 100 people indicates that 5 crimes are reported on average for every 100 residents in a given area. Understanding crime rates per 100 is essential for identifying trends, allocating resources effectively, and addressing public safety concerns across different regions.
The highest crime per 100 state is New Mexico, with states like Nevada coming in second.
The high chart above shows a bar chart of the top 10 states in total offenses and how they differ by year and state. This is in the crimes against property category. The graph is interactive, so when highlighting the bars, they change to show specific numbers for each year. The years are highlighted by the colors at the bottom. Texas leads the country in total property offenses and has only increased since 2020. California saw the largest change increasing by over 100,000 total offenses from 2021 to 2023. No matter the state, 2020 had the least amount of committed offenses.
Outlining the top 10 States is incredibly important to show problem areas/regions in the United States related to property crime. More about property crime is linked here.
My interactive bar plot demonstrates the number of Weapon Law Violations by state within 2023. My research questions for this dataset were: Are states with stricter gun control laws showing higher or lower rates of weapon violations in 2023? How does this compare to states with little to no gun control laws?
After researching which states in America enforce strict gun control laws and which are more lenient, I found a correlation between stricter gun laws and the number of Weapon Law Violations in certain cases. I utilized the Giffords Law Center’s Gun Law Scorecard as a reliable source to determine how rankings were assigned. The state with the most amount of Weapon Law Violations was California with 34,007. This correlated to California being ranked #1 for strongest gun laws. Following California with the highest number of weapon violations are Texas(33,168), ranked #31, North Carolina(22,074), ranked #22, and New York(21,952), ranked #5. Notably, these states are also among the largest in the country, which may contribute to their higher number of violations compared to states with similar gun law rankings.
However, this correlation didn’t remain consistent throughout all states. States who ranked higher with stronger gun control laws, did not always have a high number of violations. For instance, Hawaii is ranked #6 for strongest gun laws, yet they reported only 379 gun law violations. Various factors could influence this, such as the state’s smaller size, lower population, or greater compliance with gun control laws among its citizens.
Wyoming who is ranked #50, meaning they have very little to no gun control laws, had 238 violations. This number correlates to their lack of gun law enforcement.
In conclusion, my interactive bar plot highlights the complexities in the relationship between gun control laws and weapon law violations in 2023. States with stricter gun laws, like California, reported higher violations, likely influenced by larger populations and stricter enforcement, while lenient states like Wyoming had fewer violations. However, this pattern isn’t consistent, suggesting factors like state size, population density, and public compliance also play significant roles. This analysis underscores the need to consider multiple variables when evaluating the impact of gun control laws.
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The dataset used to create this dashboard was downloaded from FBI Crime Data Explorer and Real Time Crime Index We used datasets for crime against persons, property, and society in 2020-2023
Arnold J (2024). ggthemes: Extra Themes, Scales and Geoms for ‘ggplot2’. R package version 5.1.0, https://github.com/jrnold/ggthemes, https://jrnold.github.io/ggthemes/.
Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. R package version 2.0.3, https://CRAN.R-project.org/package=magrittr.
Dancho M, Vaughan D (2023). tidyquant: Tidy Quantitative Financial Analysis. R package version 1.0.7, https://github.com/business-science/tidyquant.
Kunst J (2022). highcharter: A Wrapper for the ‘Highcharts’ Library. R package version 0.9.4, https://CRAN.R-project.org/package=highcharter.
Neuwirth E (2022). RColorBrewer: ColorBrewer Palettes. R package version 1.1-3, https://CRAN.R-project.org/package=RColorBrewer.
Posit team (2024). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.
R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Rinker, T. W. & Kurkiewicz, D. (2017). pacman: Package Management for R. version 0.5.0. Buffalo, New York. http://github.com/trinker/pacman
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48, https://yihui.org/knitr/.
Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963
Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595
Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.4.0, https://github.com/haozhu233/kableExtra, http://haozhu233.github.io/kableExtra/.
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