Cost of living in United States

Map of Cost of Living in United States

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This map shows only the top cities in United States. We also have on this page a list of all the cities available in Expatistan.

The color of the markers corresponds with the Cost of Living in the city. Red markers show more expensive cities, green ones show cheaper cities.
The size of the markers correspond with the population of each city.
Moving the mouse on top of a city will show its name and the Cost of Living Index of the city.

What is the Cost of Living Index? To calculate each cities' Cost of Living Index value, we start by assigning a value of 100 to a central reference city (that happens to be Prague). Once the reference point has been stablished, the Price Index value of every other city in the database is calculated by comparing their cost of living to the cost of living in Prague.
Therefore, if a city has a Price Index of 134, that means that living there is 34% more expensive than living in Prague.

List of all cities available in United States

Akron   Low accuracy, inconsistent or missing data Albany, NY   Low accuracy, inconsistent or missing data Albuquerque   Very high accuracy, abundant and consistent data
Amarillo   Low accuracy, inconsistent or missing data Anchorage   Very high accuracy, abundant and consistent data Arlington, Texas   Low accuracy, inconsistent or missing data
Athens, Georgia   Low accuracy, inconsistent or missing data Atlanta   Very high accuracy, abundant and consistent data Austin   Very high accuracy, abundant and consistent data
Babylon   High accuracy, complete data Bakersfield   Low accuracy, inconsistent or missing data Baltimore   Very high accuracy, abundant and consistent data
Baton Rouge   Low accuracy, inconsistent or missing data Birmingham, Alabama   Low accuracy, inconsistent or missing data Boise   Low accuracy, inconsistent or missing data
Boston   Very high accuracy, abundant and consistent data Boulder, Colorado   Low accuracy, inconsistent or missing data Bozeman, Montana   High accuracy, complete data
Buffalo   Very high accuracy, abundant and consistent data Butte, Montana   Low accuracy, inconsistent or missing data Cedar Falls, Iowa   Low accuracy, inconsistent or missing data
Cedar Rapids, Iowa   Low accuracy, inconsistent or missing data Charleston, South Carolina   Low accuracy, inconsistent or missing data Charlotte   Very high accuracy, abundant and consistent data
Chattanooga   Low accuracy, inconsistent or missing data Chicago   Very high accuracy, abundant and consistent data Cincinnati   Very high accuracy, abundant and consistent data
Cleveland   Very high accuracy, abundant and consistent data Cocoa Beach   Low accuracy, inconsistent or missing data Colorado Springs   Low accuracy, inconsistent or missing data
Columbus   Very high accuracy, abundant and consistent data Corpus Christi   Low accuracy, inconsistent or missing data Dallas   Very high accuracy, abundant and consistent data
Denver   Very high accuracy, abundant and consistent data Des Moines, Iowa   Low accuracy, inconsistent or missing data Detroit   High accuracy, complete data
Durham   Low accuracy, inconsistent or missing data El Paso   Low accuracy, inconsistent or missing data Erie, Pennsylvania   Low accuracy, inconsistent or missing data
Fort Collins   Medium accuracy, uneven or scarce data Fort Wayne   Low accuracy, inconsistent or missing data Fort Worth   Low accuracy, inconsistent or missing data
Fresno   Low accuracy, inconsistent or missing data Gainesville   Low accuracy, inconsistent or missing data Green Bay, Wisconsin   Low accuracy, inconsistent or missing data
Greensboro   Low accuracy, inconsistent or missing data Greenville, South Carolina   Low accuracy, inconsistent or missing data Harrisburg, Pennsylvania   High accuracy, complete data
Hartford, Connecticut   Low accuracy, inconsistent or missing data Honolulu   Very high accuracy, abundant and consistent data Houston   Very high accuracy, abundant and consistent data
Huntsville, Alabama   Low accuracy, inconsistent or missing data Indianapolis   Very high accuracy, abundant and consistent data Ithaca, New York   Medium accuracy, uneven or scarce data
Jackson, Mississippi   Low accuracy, inconsistent or missing data Jacksonville   Very high accuracy, abundant and consistent data Jersey City   Low accuracy, inconsistent or missing data
Kansas City   Very high accuracy, abundant and consistent data Knoxville, TN   Very high accuracy, abundant and consistent data Lafayette, Louisiana   Low accuracy, inconsistent or missing data
Las Vegas   Very high accuracy, abundant and consistent data Lexington, Kentucky   Low accuracy, inconsistent or missing data Lincoln   Low accuracy, inconsistent or missing data
Little Rock, Arkansas   Low accuracy, inconsistent or missing data Los Angeles   Very high accuracy, abundant and consistent data Louisville   Low accuracy, inconsistent or missing data
Lubbock   Low accuracy, inconsistent or missing data Madison   Very high accuracy, abundant and consistent data McAllen, Texas   Low accuracy, inconsistent or missing data
Memphis   Low accuracy, inconsistent or missing data Miami   Very high accuracy, abundant and consistent data Midland, Texas   High accuracy, complete data
Milwaukee   Very high accuracy, abundant and consistent data Minneapolis - St. Paul   Very high accuracy, abundant and consistent data Modesto   Low accuracy, inconsistent or missing data
Montclair, New Jersey   High accuracy, complete data Mount Pleasant, South Carolina   Medium accuracy, uneven or scarce data Mountain View, California   Low accuracy, inconsistent or missing data
Nashville   Very high accuracy, abundant and consistent data New Orleans   Medium accuracy, uneven or scarce data New York City   Very high accuracy, abundant and consistent data
Niagara Falls, New York   Low accuracy, inconsistent or missing data Oakland, California   Very high accuracy, abundant and consistent data Oklahoma City   Very high accuracy, abundant and consistent data
Omaha   Very high accuracy, abundant and consistent data Orlando   Very high accuracy, abundant and consistent data Palo Alto   Low accuracy, inconsistent or missing data
Philadelphia   Very high accuracy, abundant and consistent data Phoenix   Very high accuracy, abundant and consistent data Pittsburgh   Very high accuracy, abundant and consistent data
Portland   Very high accuracy, abundant and consistent data Providence, Rhode Island   Low accuracy, inconsistent or missing data Provo, Utah   Low accuracy, inconsistent or missing data
Raleigh, North Carolina   Very high accuracy, abundant and consistent data Reno   Low accuracy, inconsistent or missing data Richmond, Virginia   High accuracy, complete data
Riverside   Low accuracy, inconsistent or missing data Rochester, New York   Medium accuracy, uneven or scarce data Sacramento   Very high accuracy, abundant and consistent data
Salt Lake City   Very high accuracy, abundant and consistent data San Antonio, California   Very high accuracy, abundant and consistent data San Antonio, Texas   High accuracy, complete data
San Diego   Very high accuracy, abundant and consistent data San Francisco   Very high accuracy, abundant and consistent data San Jose   Very high accuracy, abundant and consistent data
San Luis Obispo, California   Low accuracy, inconsistent or missing data Santa Ana   Low accuracy, inconsistent or missing data Santa Cruz, California   Medium accuracy, uneven or scarce data
Santa Fe (New Mexico)   Low accuracy, inconsistent or missing data Savannah, Georgia   Low accuracy, inconsistent or missing data Scottsdale   Low accuracy, inconsistent or missing data
Seattle   Very high accuracy, abundant and consistent data Shreveport   Low accuracy, inconsistent or missing data St. Louis   Very high accuracy, abundant and consistent data
Staunton, Virginia   Low accuracy, inconsistent or missing data Stockton   Low accuracy, inconsistent or missing data Tampa   Very high accuracy, abundant and consistent data
Tempe, Arizona   Medium accuracy, uneven or scarce data Toledo   Low accuracy, inconsistent or missing data Tucson   Very high accuracy, abundant and consistent data
Tulsa, Oklahoma   Low accuracy, inconsistent or missing data Virginia Beach   Low accuracy, inconsistent or missing data Washington D.C.   Very high accuracy, abundant and consistent data
Wichita   Low accuracy, inconsistent or missing data Youngstown, Ohio   Low accuracy, inconsistent or missing data

What do you think about the cost of living in United States?

Recent Prices Added

  • 2 tickets to the movies in San Diego costs $23 (about 18 hours ago)
  • 1 liter (1/4 gallon) of gas in San Diego costs $0.94 (about 18 hours ago)
  • 1 pair of jeans (Levis 501 or similar) in San Diego costs $40 (about 18 hours ago)
  • 40” flat screen TV in San Diego costs $600 (about 18 hours ago)
  • Internet 8MB (1 month) in San Diego costs $40 (about 18 hours ago)
  • Utilities 1 month (heating, electricity, gas ...) for 2 people in 85m2 flat in San Diego costs $71 (about 18 hours ago)
  • 2 liters of Coca-Cola in San Diego costs $1.29 (about 18 hours ago)
  • Combo meal in fast food restaurant (Big Mac Meal or similar) in San Diego costs $5.00 (about 18 hours ago)
  • 1 liter (1/4 gallon) of gas in Phoenix costs $0.84 (about 19 hours ago)
  • Deodorant, roll-on (50ml ~ 1.5 oz.) in Phoenix costs $2.98 (about 20 hours ago)