Category: Rankings

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 Dayton are the cheapest of the cheap.

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

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

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

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

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

We used science and data to determine which neighborhoods in Providence 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 Vancouver 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 Shreveport 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 Tempe are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Little Rock 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 Grand Rapids are the cheapest of the cheap.

We used science and data to determine which neighborhoods in Salt Lake City 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 Des Moines are the cheapest of the cheap.

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

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

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

We used science and data to determine which neighborhoods in Buffalo 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 Jersey City 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 Chula Vista are the cheapest of the cheap.

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.