2. 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.

3. 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.

4. 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.

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

6. Violent Crime/Hot Spot Model

7. Violent Crime and Hot Spots

8. Poverty Model

9. Poverty vs. Crime

10. Median Income Model

11. Median Income vs. Crime

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

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