Close Close
Popular Financial Topics Discover relevant content from across the suite of ALM legal publications From the Industry More content from ThinkAdvisor and select sponsors Investment Advisor Issue Gallery Read digital editions of Investment Advisor Magazine Tax Facts Get clear, current, and reliable answers to pressing tax questions
Luminaries Awards
ThinkAdvisor

10 Healthiest U.S. Metro Areas

X
Your article was successfully shared with the contacts you provided.

Related: The 10 Sickest U.S. Metro Areas

Clients in some parts of the country get what amounts to a health dividend.

One place to look for information about geographic wellness assets is the website of the Behavioral Risk Factor Surveillance System, a U.S. Centers for Disease Control and Prevention program that interviews about 400,000 U.S. residents ages 18 and older every year.

Interviewers ask many general and specific questions about the participants’ health, and one is about the participants’ assessment of their own health.

For a look at the 10 metropolitan areas where the highest percentage of survey participants described their own health as excellent, see the gallery above.

For data on all metropolitan areas, and some micropolitan areas, included in this analysis, see the table below.

What It Means

Good health can help make any financial problems a little more bearable, and it may increase clients’ ability to earn a good living.

In an area where many clients are in great health, financial advisors and insurance agents may have an easier time helping clients get products that involve medical underwriting, such as life insurance, disability insurance and long-term care insurance.

They may also have an easier time helping clients recognize, and use annuities and other arrangements to prepare for, the possibility that they could live into their 100s, or even into their 110s.

But advisors and agents in areas with high self-reported levels of excellent health also face another concern: the possibility that people in some areas are more likely to exaggerate how healthy they are.

In those areas, insurance agents might be more likely to face clients who expect to get super-preferred life insurance premiums and barely qualify to buy coverage at any price.

When financial professionals believe that people in an area are more likely to give a survey team unrealistically cheerful assessments of their health, they may have to spend more time helping clients notice, acknowledge, talk about and manage unpleasant realities.

The Methods

The CDC’s BRFSS asks general status questions along with questions about matters such as arthritis and binge drinking.

The goal of the program is to help federal and state programs manage public health programs.

For this article, we used BRFSS city data. Users can also get state-level, county-level and ZIP Code-level BRFSS data. The newest BRFSS city results now available in ordinary spreadsheets are for 2020.

The Pandemic Effect

Insurers and others with an interest in public health will use BRFSS data, and data from similar programs, to assess how the COVID-19 pandemic and pandemic side effects — such as lockdowns and vaccination programs — have affected people’s health.

One counterintuitive early finding: In 2020, the pandemic and pandemic control efforts might have improved Americans’ health, or at least their attitudes about their health.

The percentage of BRFFS survey takers who described their health as excellent increased to about 21.7% in 2020. That was up from 17.6% the year before, and up from 19.1% in 2015.

U.S. Excellent Health Levels

Metropolitan area Population in 2020 Percentage of adults who said that they’re in excellent health
2020 2015
Akron, OH 701,305 19.3% 19.5%
Albany-Schenectady-Troy, NY 898,561 24.3% 18.4%
Albuquerque, NM 917,179 22.4% 20.0%
Anchorage, AK 398,097 23.3% 22.1%
Atlanta-Sandy Springs-Roswell, GA 6,101,146 22.7% 22.3%
Augusta-Richmond County, GA-SC 611,720 13.5% 17.9%
Austin-Round Rock, TX 2,299,125 24.9% 20.9%
Baltimore-Columbia-Towson, MD 2,841,691 24.8% 20.2%
Baton Rouge, LA 870,178 19.1% 16.9%
Billings, MT 184,567 19.6% 18.4%
Birmingham-Hoover, AL 1,114,710 19.6% 15.7%
Bismarck, ND 133,666 16.5% 15.4%
Boise City, ID 769,581 26.2% 21.7%
Boston, MA 2,052,435 26.9% 21.7%
Buffalo-Cheektowaga-Niagara Falls, NY 1,165,506 21.9% 18.9%
Burlington-South Burlington, VT 225,563 23.4% 22.3%
Cambridge-Newton-Framingham, MA 2,438,640 28.0% 23.3%
Camden, NJ 1,287,673 25.5% 21.6%
Cedar Rapids, IA 276,446 18.1% -
Charleston, WV 257,840 13.8% 14.3%
Charleston-North Charleston, SC 802,961 22.6% 22.1%
Charlotte-Concord-Gastonia, NC-SC 2,669,665 24.1% 21.7%
Chicago-Naperville-Elgin, IL-IN-WI 9,601,605 23.0% 18.7%
Cincinnati, OH-KY-IN 2,257,667 20.6% 19.5%
Cleveland-Elyria, OH 2,085,357 21.6% 18.9%
Colorado Springs, CO 756,573 26.3% 19.4%
Columbus, OH 2,141,042 23.0% 18.1%
Dallas-Plano-Irving, TX 5,148,585 22.5% 21.8%
Davenport-Moline-Rock Island, IA-IL 383,526 19.7% -
Dayton-Kettering, OH 813,475 18.8% 16.6%
Denver-Aurora-Lakewood, CO 2,969,289 26.8% 20.7%
Des Moines-West Des Moines, IA 710,843 20.1% 18.4%
Duluth, MN-WI 291,278 15.9% 19.2%
El Paso, TX 869,289 16.5% 17.6%
Fargo, ND-MN 250,219 23.6% 21.8%
Fayetteville-Springdale-Rogers, AR-MO 520,354 24.2% 15.4%
Fort Worth-Arlington, TX 2,513,740 23.7% 21.9%
Frederick-Gaithersburg-Rockville, MD 1,333,980 26.9% -
Grand Island, NE 76,885 21.7% 17.4%
Grand Rapids-Wyoming, MI 1,088,203 18.8% 18.1%
Greenville-Anderson-Mauldin, SC 930,165 15.4% 21.1%
Gulfport-Biloxi-Pascagoula, MS 416,312 20.4% 14.7%
Hagerstown-Martinsburg, MD-WV 294,277 18.8% 15.5%
Hartford-West Hartford-East Hartford, CT 1,211,505 25.3% 22.5%
Houston-The Woodlands-Sugar Land, TX 7,137,747 23.9% 17.0%
Huntington-Ashland, WV-KY-OH 359,100 12.7% 14.0%
Idaho Falls, ID 158,258 24.9% 19.6%
Indianapolis-Carmel-Anderson, IN 2,113,700 20.8% 20.0%
Jackson, MS 590,626 16.1% 19.4%
Jacksonville, FL 1,611,388 17.8% 20.3%
Kansas City, MO-KS 2,193,578 19.8% 18.9%
Knoxville, TN 881,628 20.9% 18.7%
Lafayette, LA 478,077 17.1% -
Lebanon, NH-VT 143,242 24.6% -
Lincoln, NE 340,515 24.1% 18.8%
Little Rock-North Little Rock-Conway, AR 748,434 21.2% 11.7%
Logan, UT-ID 147,796 24.9% 28.4%
Los Angeles-Long Beach-Anaheim, CA 13,173,266 23.8% 20.8%
Louisville/Jefferson County, KY-IN 1,285,058 18.4% 12.5%
Memphis, TN-MS-AR 1,337,311 16.5% 19.4%
Miami-Fort Lauderdale-West Palm Beach, FL 6,126,441 24.2% 20.4%
Milwaukee-Waukesha-West Allis, WI 1,573,598 21.1% 17.4%
Minneapolis-St. Paul-Bloomington, MN-WI 3,692,421 23.3% 21.7%
Mobile, AL 429,546 19.8% -
Montgomery County-Bucks County-Chester County, PA 385,738 23.1% 20.5%
Nashville-Davidson–Murfreesboro–Franklin, TN 1,995,343 22.7% 17.3%
Nassau County-Suffolk County, NY 2,918,077 28.5% 19.6%
New Brunswick-Lakewood, NJ 2,488,909 26.6% -
New Orleans-Metairie, LA 1,270,366 19.3% 18.4%
New York-Jersey City-White Plains, NY-NJ 12,412,533 25.6% 19.4%
Newark, NJ-PA 2,276,894 26.7% 20.1%
Ogden-Clearfield, UT 696,620 22.8% 22.4%
Oklahoma City, OK 1,428,709 18.6% 18.7%
Omaha-Council Bluffs, NE-IA 968,493 24.0% 19.2%
Orlando-Kissimmee-Sanford, FL 2,677,687 27.0% 18.7%
Philadelphia, PA 2,177,393 19.8% 18.3%
Phoenix-Mesa-Scottsdale, AZ 4,867,925 23.0% 21.5%
Pittsburgh, PA 2,367,293 19.3% 15.2%
Portland-South Portland, ME 552,089 27.0% 21.6%
Portland-Vancouver-Hillsboro, OR-WA 2,516,230 21.1% 19.6%
Providence-Warwick, RI-MA 1,675,401 22.9% 20.2%
Provo-Orem, UT 674,967 31.6% 22.6%
Raleigh, NC 1,420,225 25.3% 23.9%
Rapid City, SD 139,328 20.4% 21.5%
Reno, NV 491,494 20.5% 17.2%
Richmond, VA 1,315,734 21.4% 19.1%
Rochester, MN 226,515 23.0% 25.8%
Rochester, NY 1,088,776 24.9% 22.7%
Salem, OR 434,065 17.8% -
Salisbury, MD-DE 419,397 19.8% 16.1%
Salt Lake City, UT 1,259,517 23.8% 21.5%
San Antonio-New Braunfels, TX 2,566,683 24.1% 16.6%
San Juan-Carolina-Caguas, PR 2,078,738 27.5% 16.0%
Seattle-Bellevue-Everett, WA 3,101,902 25.4% 20.9%
Sioux City, IA-NE-SD 149,743 19.1% 17.2%
Sioux Falls, SD 277,458 26.7% 21.8%
Spokane-Spokane Valley, WA 587,266 21.7% 17.3%
Springfield, MA 697,960 22.3% 16.8%
St. Cloud, MN 199,687 23.9% 20.9%
St. Louis, MO-IL 2,818,267 21.1% 19.9%
Syracuse, NY 660,894 20.7% -
Tampa-St. Petersburg-Clearwater, FL 3,183,385 23.6% 19.9%
Toledo, OH 645,819 18.9% 19.0%
Topeka, KS 232,747 15.7% 14.7%
Tulsa, OK 1,016,589 18.0% 13.9%
Virginia Beach-Norfolk-Newport News, VA-NC 1,800,081 21.0% 20.2%
Washington-Arlington-Alexandria, DC-VA-MD-WV 6,385,714 25.5% 23.5%
Waterloo-Cedar Falls, IA 168,266 19.2% -
Watertown, SD 116,134 22.6% -
Wichita, KS 647,921 19.4% 18.0%
Wilmington, DE-MD-NJ 739,317 22.0% 19.7%
Worcester, MA-CT 977,701 23.0% 23.1%
Youngstown-Warren-Boardman, OH-PA 539,686 20.3% -
MEDIAN 21.7% 19.1%

(Image: Adobe Stock)