Homicidal Relations Cory Mills and Tina Habib
Methodology Collection of Statistical Data – Racial and Ethnic Differences – Socioeconomic Living Conditions – Focus on Lee County Bivariate Correlation Analysis – Statewide Patterns How does Lee County fit in?
Homicide Rate per 100,000
Bivariate Correlation Analysis Homicide rate in 2008 (per 100,000) Population of Racial and Ethnic Groups Education Levels Unemployment Rates Household Income Levels Median Age Percentage of Urban Populations Percentage of Owner-occupied Housing Percentage below Poverty Level
Bivariate Correlation Analysis Homicide rate in 2008 (per 100,000) Population of Racial and Ethnic Groups Education Levels Unemployment Rates Household Income Levels Median Age Percentage of Urban Populations Percentage of Owner-occupied Housing Percentage below Poverty Level Negetive Correlation Positive Correlation Negative Correlation
Median Age Homicide Rate by County (per 100,000) Median Age (in yrs) Graying Population Migration of Money Infrastructure Increased cost of Living r² = 0.116
Education Level (LHSD) Homicide Rate by County (per 100,000) % Population with less than an HS Diploma Confusing Chart! Racial Component Socioeconomic Indicator r² = 0.079
Owner-Occupied Housing (OOH) Homicide Rate by County (per 100,000) % Owner-Occupied Housing Socioeconomic Indicator Stress Level Indicator r² = 0.037
Unemployment Homicide Rate by County (per 100,000) Unemployment Rate 2008 r² = Socioeconomic (again) Lee County has high rates
State and National Comparison
County Comparison
Why is the Lee County Homicide Rate so High? High Unemployment High Education High OOH Graying Population
Dangers of Demographic Shift!
Correlations Between Variables
Consequences of a Gray Population Artificially Inflated Median Household Income Higher Property Cost Higher General Cost of Living Higher Unemployment Gentrification
Fin