Author: Chris Kolmar

We used science and data to determine which neighborhoods in Irvine are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Toledo are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Newark are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Orlando are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Lincoln are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Anchorage are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Pittsburgh are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Cincinnati are the cheapest of the cheap.

We used science and data to determine which neighborhoods in St. Louis are the cheapest of the cheap.

We used science and data to determine which neighborhoods in St. Paul are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Henderson are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Stockton are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Riverside are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Santa Ana are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Aurora are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Bakersfield are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Cleveland are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Wichita are the cheapest of the cheap.

We used science and data to determine which neighborhoods in New Orleans are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Tampa are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Oakland are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Minneapolis are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Miami are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Long Beach are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Raleigh are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Colorado Springs are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Kansas City are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Atlanta are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Sacramento are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Fresno are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Tucson are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Albuquerque are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Milwaukee are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Baltimore are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Louisville are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Las Vegas are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Portland are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Memphis are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Nashville are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Detroit are the cheapest of the cheap.

We used science and data to determine which neighborhoods in El Paso are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Boston are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Washington are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Denver are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Seattle are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Charlotte are the cheapest of the cheap.

We used science and data to determine which neighborhoods in San Francisco are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Columbus are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Fort Worth are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Jacksonville are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Austin are the cheapest of the cheap.

We used science and data to determine which neighborhoods in San Jose are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Dallas are the cheapest of the cheap.

We used science and data to determine which neighborhoods in San Diego are the cheapest of the cheap.

We used science and data to determine which neighborhoods in San Antonio are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Philadelphia are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Phoenix are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Houston are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Chicago are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Los Angeles are the cheapest of the cheap.