Category: Rankings

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 Bakersfield are the cheapest of the cheap.

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

We used science and data to determine which neighborhoods in Grand Rapids 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 Portland 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 Wichita 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 Lincoln 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 Miami 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 Oakland 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 Glendale 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 Milwaukee 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 Fort Lauderdale are the cheapest of the cheap.

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

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

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

We used science and data to determine which neighborhoods in Garland 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 Richmond 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 Jackson 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 Fort Wayne are the cheapest of the cheap.

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

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

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

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