Summary  Understanding crime can aid in allocating law enforcement resources.  This project is intended to show potential correlations between poverty.

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Presentation transcript:

Summary  Understanding crime can aid in allocating law enforcement resources.  This project is intended to show potential correlations between poverty or median income and violent crime.

Objectives  Collect crime data from the Uniform Crime Reports (UCR)  Study crime throughout the mid-atlantic including PA, NJ, DE, MD, DC, VA, and WV.  Statistically calculate the hot spots of crime in the study area.

About the Data  The crime data came from UCRs submitted to the FBI from local law enforcement. Some data missing from FBI.  Poverty and Median Income data came from the 2000 census.  County shapefile came from ESRI and included 2000 census data.

Data (continued)  All data was stored in a geodatabase.  The layer files used for data representation were stored in a folder with the geodatabase.

Violent Crime/Hot Spot Model

Violent Crime and Hot Spots

Poverty Model

Poverty vs. Crime

Median Income Model

Median Income vs. Crime

Conclusions  Poverty percentage expectations.  Poverty totals overall  Median Income and Crime in and around the major cities.

Further Research  Study property crime  Study other demographics (education, race, median age)  Study specific crimes rather than overall totals.  Expand the study area.