Honors Projects
Abstract
The purpose of this study was to analyze the effects of the COVID-19 pandemic and how it has affected the crime rates present in New York City over the years of 2019 and 2020. There is limited criminal research that investigate the connection to pandemics, and how it can be used to reduce crime rates in similar situations. The goal of this study is to reduce crime rates and provide possible policy implications.
This project analyzes the crime rate trends present before and during the COVID-19 pandemic, and compares it to the number of COVID-19 cases. Analysis of the statewide stay-at-home order showed a relationship between COVID-19 and criminal cases. The demographic analysis provided information on what groups of people are more likely to be a suspect or victim. The line graphs visualized the frequency of both COVID-19 and criminal cases per month. Bar charts visualized the differences in frequency of specific types of crime and where they occurred. The information in this project could be used to determine where resources could be efficiently allocated when in the presence of a pandemic. It can also be used to predict how much crime will be committed, where it will most likely happen, and what types of crime might increase.
Department
Mathematics and Statistics
Major
Mathematics
First Advisor
Umar Islambekov
First Advisor Department
Mathematics and Statistics
Second Advisor
Philip Stinson
Second Advisor Department
Criminal Justice
Publication Date
Spring 4-27-2022
Repository Citation
Nguyen, Lanlie, "An Exploratory Data Analysis on COVID-19 and its Effects on Crime in New York City" (2022). Honors Projects. 685.
https://scholarworks.bgsu.edu/honorsprojects/685