Our project looks to identify what are the underlying factors that drive high income areas with increased home values. The goal is to expose dependent variables that factor into an area having higher than average income or higher property value. Ultimately, a brick-and-mortar business would utilize this information when making location or product decisions. Since locality impacts the customer base, it is critical for businesses to know what types of customers to expect in their area. By providing dependent variables that are prevalent in desirable areas, companies may be able to invest in future locations that show signs of becoming more affluent and financially stable.

Our project uses the following independent variables to measure income and house value:

• Median House Value
• Median Annual Household Income

We used the following dependent variables as identifiers

• Total Households in the Area
• Median Age
• Education Completed
• Total Property Tax paid
• Land area by zip code (square meters)
• Unemployment percentage per zip code
• Median annual income per capita
• Housing Price Index change year over year