November 2019
The relative buying power of the dollar in any two cities is very important when comparing the nominal dollar amounts of the salaries in those two cities. Those interested in this topic might, for example, ask about the "buying power" of a salary of $180,000 in Chicago compared to the same nominal salary in San Francisco. The question becomes, "Which location offers the most buying power?" The answer, and the dollars that accompany it, often translates into discretionary income and lifestyle options for new attorneys.
To illustrate purchasing power differentials, cities are ranked on the basis of a Buying Power Index (BPI). The BPI was calculated using New York City's median reported private practice salary for the Class of 2018 and cost of living as the benchmark. New York City's BPI is thus 1.00. BPI's for other cities show how much buying power the median reported law firm salary for the Class of 2018 in that city provides compared with the New York City median. The table below shows the BPI calculated for 92 cities for which at least 10 law firm salaries were reported for the Class of 2018 and for which cost of living information was available. It is evident that the buying power of the median salary in over half of the cities listed exceeds that of New York's when relative costs of living are factored in. For example, the median reported law firm salary in Cincinnati and Austin is about 60% that of New York's, but nonetheless each offers about 40% more buying power than does the New York salary. As a second example, the buying power of the median reported salary in Louisville and Richmond exceed that of New York's even though the median salary is about half that of New York.
Additionally, salaries in any two cities with similar salaries but different BPI's can be compared. For example, the difference in purchasing power between $180,000 in Chicago and $180,000 in San Francisco can be determined. The BPI in Chicago is 1.911; that in San Francisco is 1.199. This means that the Chicago salary offers 59% more purchasing power than the identical salary in San Francisco [1.911/1.199] = 1.59 or 59%. Or, viewed the other way around, the San Francisco salary offered about two-thirds of the purchasing power of the Chicago salary [1.199/1.911] x 100 = 63%.
Likewise, the BPI can be used to compare any salary in a listed city (not just the median) with that for New York because the salary required to provide the same purchasing power as the $190,000 New York salary does not change. For example, in Atlanta, that figure is about $78,000. If the actual salary obtained in Atlanta is $160,000, it will purchase twice as much as the $190,000 salary in New York [$160,000/$78,000] = 2.05 or 105%.
City | Median Reported Law Firm Salary 2018 | Salary Required to Yield New York City Buying Power* | Buying Power Index | # of Law Firm Salaries Reported |
Houston, TX | $180,000 | $73,555 | 2.447 | 322 |
Charlotte, NC | 150,000 | 74,165 | 2.023 | 73 |
Atlanta, GA | 150,000 | 77,835 | 1.927 | 197 |
Dallas, TX | 155,000 | 80,590 | 1.923 | 250 |
Chicago, IL | 180,000 | 94,195 | 1.911 | 548 |
Wilmington, DE | 160,000 | 85,635 | 1.868 | 44 |
Kansas City, MO | 125,000 | 72,635 | 1.721 | 58 |
Roseland, NJ | 160,000 | 94,425 | 1.694 | 11 |
Philadelphia, PA | 145,000 | 86,705 | 1.672 | 152 |
Boston, MA | 190,000 | 114,690 | 1.657 | 316 |
Detroit, MI | 120,000 | 72,710 | 1.650 | 38 |
Minneapolis, MN | 133,750 | 81,275 | 1.646 | 90 |
Milwaukee, WI | 120,000 | 74,090 | 1.620 | 72 |
Cleveland, OH | 120,000 | 74,930 | 1.602 | 87 |
Los Angeles, CA | 180,000 | 113,310 | 1.589 | 463 |
Columbus, OH | 110,000 | 69,425 | 1.584 | 56 |
Nashville, TN | 120,000 | 75,845 | 1.582 | 57 |
Costa Mesa, CA | 180,000 | 114,535 | 1.572 | 36 |
Cincinnati, OH | 110,000 | 72,790 | 1.511 | 52 |
Salt Lake City, UT | 115,000 | 78,600 | 1.463 | 37 |
Austin, TX | 110,000 | 75,235 | 1.462 | 71 |
Birmingham, AL | 100,000 | 68,815 | 1.453 | 50 |
Washington, D.C. | 180,000 | 124,320 | 1.448 | 661 |
Indianapolis, IN | 101,500 | 70,955 | 1.431 | 65 |
St. Louis, MO | 94,000 | 67,130 | 1.400 | 102 |
Baltimore, MD | 125,000 | 89,380 | 1.399 | 31 |
Grand Rapids, MI | 100,000 | 74,165 | 1.348 | 22 |
Phoenix, AZ | 100,000 | 74,470 | 1.343 | 38 |
Richmond, VA | 97,000 | 72,560 | 1.337 | 41 |
Louisville, KY | 92,500 | 71,335 | 1.297 | 28 |
Denver, CO | 110,000 | 86,550 | 1.271 | 121 |
Newark, NJ | 120,000 | 94,425 | 1.271 | 14 |
Des Moines, IA | 85,500 | 69,195 | 1.236 | 14 |
Pittsburgh, PA | 92,500 | 75,770 | 1.221 | 74 |
Memphis, TN | 75,000 | 61,625 | 1.217 | 21 |
Redwood City, CA | 180,000 | 150,090 | 1.199 | 27 |
San Francisco, CA | 180,000 | 150,090 | 1.199 | 227 |
Omaha, NE | 86,000 | 72,635 | 1.184 | 30 |
New Orleans, LA | 90,000 | 76,995 | 1.169 | 51 |
Oklahoma City, OK | 75,000 | 64,685 | 1.159 | 53 |
Rochester, NY | 84,000 | 75,080 | 1.119 | 19 |
Tampa, FL | 75,000 | 68,125 | 1.101 | 69 |
Stamford, CT | 120,000 | 110,635 | 1.085 | 14 |
Wichita, KS | 75,000 | 69,195 | 1.084 | 10 |
Knoxville, TN | 67,500 | 62,465 | 1.081 | 14 |
Manchester, NH | 87,500 | 83,495 | 1.048 | 12 |
Seattle, WA | 122,500 | 118,360 | 1.035 | 98 |
Bloomfield Hills, MI | 75,000 | 72,710 | 1.031 | 11 |
Chattanooga, TN | 75,000 | 73,935 | 1.014 | 15 |
Albany, NY | 85,000 | 83,875 | 1.013 | 25 |
Akron, OH | 75,000 | 74,165 | 1.011 | 12 |
Charleston, SC | 77,500 | 76,995 | 1.007 | 10 |
Fort Worth, TX | 75,000 | 74,930 | 1.001 | 35 |
Raleigh, NC | 70,000 | 69,960 | 1.001 | 41 |
Madison, WI | 81,000 | 80,970 | 1.000 | 21 |
New York City, NY | 190,000 | 190,000 | 1.000 | 2,296 |
Orlando/Winter Park, FL | 72,250 | 73,095 | 0.988 | 48 |
Tulsa, OK | 65,000 | 66,825 | 0.973 | 30 |
Columbia, SC | 71,000 | 74,320 | 0.955 | 22 |
Albuquerque, NM | 70,000 | 74,090 | 0.945 | 23 |
Baton Rouge, LA | 70,000 | 76,690 | 0.913 | 15 |
Sacramento, CA | 82,000 | 89,915 | 0.912 | 52 |
Buffalo, NY | 65,000 | 72,485 | 0.897 | 39 |
Santa Monica, CA | 100,000 | 113,310 | 0.883 | 17 |
Winston-Salem, NC | 62,500 | 70,955 | 0.881 | 14 |
Tallahassee, FL | 65,000 | 73,860 | 0.880 | 11 |
Little Rock, AR | 65,000 | 74,395 | 0.874 | 16 |
Jacksonville, FL | 60,000 | 70,265 | 0.854 | 29 |
Miami, FL | 75,000 | 88,845 | 0.844 | 141 |
Newport Beach, CA | 95,000 | 114,535 | 0.829 | 14 |
Troy, MI | 60,000 | 72,710 | 0.825 | 17 |
Savannah, GA | 54,000 | 67,285 | 0.803 | 13 |
Portland, OR | 80,000 | 100,160 | 0.799 | 45 |
Lincoln, NE | 57,500 | 72,175 | 0.797 | 12 |
Spokane, WA | 60,000 | 75,695 | 0.793 | 13 |
Irvine, CA | 87,500 | 114,535 | 0.764 | 76 |
Southfield, MI | 55,000 | 72,710 | 0.756 | 16 |
San Diego, CA | 85,000 | 112,395 | 0.756 | 120 |
Providence, RI | 70,000 | 93,510 | 0.749 | 12 |
Coral Gables, FL | 66,000 | 88,845 | 0.743 | 36 |
Walnut Creek, CA | 85,000 | 118,130 | 0.720 | 11 |
Fort Lauderdale, FL | 65,000 | 91,600 | 0.710 | 58 |
Glendale, CA | 80,000 | 113,310 | 0.706 | 15 |
Santa Ana, CA | 80,000 | 114,535 | 0.698 | 11 |
Long Beach, CA | 75,000 | 113,310 | 0.662 | 23 |
Mt. Pleasant, SC | 50,000 | 76,995 | 0.649 | 11 |
Oakland, CA | 75,000 | 118,130 | 0.635 | 16 |
Beverly Hills, CA | 70,000 | 113,310 | 0.618 | 16 |
Pasadena, CA | 70,000 | 113,310 | 0.618 | 15 |
Honolulu, HI | 86,000 | 145,040 | 0.593 | 26 |
Alexandria, VA | 65,000 | 110,865 | 0.586 | 12 |
Brooklyn, NY | 55,000 | 138,925 | 0.396 | 17 |
*Note: For ease of presentation, these figures are rounded to the nearest $5.
Notes on Resources and Methodology for Calculating the Buying Power Index
The Buying Power Index (BPI) uses as its benchmark New York City's median starting salary and cost of living. Cost of living information was obtained from The Council for Community & Economic Research (C2ER) and its Cost of Living Index for 2016. C2ER is a nonprofit professional organization of research staff of chambers of commerce, economic development organizations, and related organizations. C2ER obtains information through the participation of local Chambers of Commerce. C2ER uses this information to develop a cost of living index relative to a U.S. average of 100. The index measures differences in the costs of goods and services; C2ER does not attempt to incorporate tax differentials into its index. The index is not available for metropolitan areas whose Chamber(s) of Commerce do not participate.
These indices were used to create an adjusted cost of living index for each city, with New York City, rather than the U.S. average, set as 1.00. This adjusted index thus indicates the dollar amount equivalent to a dollar in New York when the cost of living differential is considered. For example, the C2ER Cost of Living index for the Louisville, KY area is 93.3. Comparing this to New York's index of 248.5 means that about $0.38 is needed in Louisville to obtain purchasing power equal to that of $1.00 in New York (93.3/248.5 = 0.3755).
This adjusted index was then used to determine how the New York median private practice salary would have to be scaled to provide comparable purchasing power in each city. Using the Louisville example, the lower cost of living means that a salary of about $71,000 is equivalent in purchasing power terms to the $190,000 salary in New York ($190,000 x 0.3755 = $71,300).
This purchasing power equivalent was then compared to the actual median reported private practice salary in each city to determine a BPI. The closer the BPI is to 1.00, the closer the salary comes to providing purchasing power on a parity with New York City. Continuing with the Louisville example, the BPI of 1.297 means that the $92,500 median salary has about 30% more purchasing power than the New York salary ($92,500/$71,335 = 1.297).