Reported Tuberculosis in the United States, 2017

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Table 54. Tuberculosis Cases, by Age Group: Metropolitan Statistical Areas with >500,000 Population, 2017

Table 54. Tuberculosis Cases, by Age Group: Metropolitan Statistical Areas with >500,000 Population, 2017
Metropolitan Statistical Area Total Cases Under 5  5–14 15–24 25–44 45–64 >65 Unknown/Missing
Akron, OH 5 0 0 0 4 0 1 0
Albany-Schenectady-Troy, NY 9 0 0 0 4 3 2 0
Albuquerque, NM 15 0 0 0 4 3 8 0
Allentown-Bethlehem-Easton, PA-NJ 7 0 0 0 2 0 5 0
Atlanta-Sandy Springs-Roswell, GA 199 5 6 17 75 63 33 0
Augusta-Richmond County, GA-SC 12 1 0 2 6 0 3 0
Austin-Round Rock, TX 49 2 1 3 18 13 12 0
Bakersfield, CA 25 2 1 3 6 6 7 0
Baltimore-Columbia-Towson, MD 79 0 1 8 33 24 13 0
Baton Rouge, LA 16 1 1 2 6 5 1 0
Birmingham-Hoover, AL 22 1 0 2 4 9 6 0
Boise City, ID 6 0 1 2 1 1 1 0
Boston-Cambridge-Newton, MA-NH 170 4 4 13 62 47 40 0
Bridgeport-Stamford-Norwalk, CT 26 2 0 4 6 6 8 0
Buffalo-Cheektowaga-Niagara Falls, NY 6 0 0 0 3 2 1 0
Cape Coral-Fort Myers, FL 22 0 0 2 11 6 3 0
Charleston-North Charleston, SC 22 3 0 2 4 5 8 0
Charlotte-Concord-Gastonia, NC-SC 58 2 2 7 16 24 7 0
Chattanooga, TN-GA 6 0 0 1 2 1 2 0
Chicago-Naperville-Elgin, IL-IN-WI 303 6 7 31 84 84 91 0
Cincinnati, OH-KY-IN 29 0 0 3 11 5 10 0
Cleveland-Elyria, OH 36 0 0 2 15 9 10 0
Colorado Springs, CO 10 1 0 1 2 3 3 0
Columbia, SC 10 0 2 0 0 5 3 0
Columbus, OH 57 0 1 7 23 17 9 0
Dallas-Fort Worth-Arlington, TX 296 8 2 19 115 104 48 0
Dayton, OH 6 0 0 3 0 1 2 0
Deltona-Daytona Beach-Ormond Beach, FL 5 0 0 0 1 3 1 0
Denver-Aurora-Lakewood, CO 54 2 0 1 28 6 17 0
Des Moines-West Des Moines, IA 16 0 1 2 6 5 2 0
Detroit-Warren-Dearborn, MI 82 2 2 3 25 24 26 0
Durham-Chapel Hill, NC 10 0 1 2 3 2 2 0
El Paso, TX 36 1 0 5 6 9 15 0
Fayetteville-Springdale-Rogers, AR-MO 21 4 3 2 5 4 3 0
Fresno, CA 62 3 0 5 14 20 20 0
Grand Rapids-Wyoming, MI 15 0 1 3 0 5 6 0
Greensboro-High Point, NC 24 2 1 4 6 6 5 0
Greenville-Anderson-Maudlin, SC 18 0 1 2 6 4 5 0
Harrisburg-Carlisle, PA 11 0 0 1 5 2 3 0
Hartford-West Hartford-East Hartford, CT 18 1 0 1 7 2 7 0
Houston-The Woodlands-Sugar Land, TX 341 11 12 29 99 124 66 0
Indianapolis-Carmel-Anderson, IN 48 1 0 5 19 12 11 0
Jackson, MS 16 1 0 1 3 10 1 0
Jacksonville, FL 44 0 0 4 12 18 10 0
Kansas City, MO-KS 23 0 0 4 5 7 7 0
Knoxville, TN 8 0 0 1 1 3 3 0
Lakeland-Winter Haven, FL 10 0 0 2 1 5 2 0
Lancaster, PA 7 0 0 1 4 1 1 0
Las Vegas-Henderson-Paradise, NV 62 0 1 5 19 19 18 0
Lexington-Fayette, KY 12 1 2 1 5 2 1 0
Little Rock-North Little Rock-Conway, AR 15 0 0 0 6 6 3 0
Los Angeles-Long Beach-Anaheim, CA 726 13 10 59 165 239 240 0
Louisville/Jefferson County, KY-IN 21 0 2 3 6 4 6 0
Madison, WI 8 0 0 2 2 3 1 0
McAllen-Edinburg-Mission, TX 57 4 3 5 17 11 17 0
Memphis, TN-MS-AR 50 5 2 7 20 11 5 0
Miami-Fort Lauderdale-West Palm Beach, FL 203 2 2 17 69 75 38 0
Milwaukee-Waukesha-West Allis, WI 19 0 1 0 7 5 6 0
Minneapolis-St. Paul-Bloomington, MN-WI 132 7 10 17 38 27 33 0
Modesto, CA 15 1 0 0 2 7 5 0
Nashville-Davidson-Murfreesboro-Franklin, TN 44 1 0 5 12 18 8 0
New Haven-Milford, CT 14 0 0 1 3 5 5 0
New Orleans-Metairie, LA 50 1 1 4 16 17 11 0
New York-Newark-Jersey City, NY-NJ-PA 976 20 14 93 309 306 234 0
Northport-Sarasota-Bradenton, FL 23 0 0 2 8 10 3 0
Ogden-Clearfield, UT
Oklahoma City, OK 15 0 0 2 2 1 10 0
Omaha-Council Bluffs, NE-IA 13 0 0 2 6 4 1 0
Orlando-Kissimmee-Sanford, FL 67 0 0 4 26 23 14 0
Oxnard-Thousand Oaks-Ventura, CA 26 0 0 1 8 9 8 0
Palm Bay-Melbourne-Titusville, FL 11 1 0 0 3 2 5 0
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 145 2 2 8 42 47 44 0
Phoenix-Mesa-Scottsdale, AZ 120 7 4 14 44 33 18 0
Pittsburgh, PA 20 0 0 2 10 3 5 0
Portland-South Portland, ME 7 0 0 0 5 1 1 0
Portland-Vancouver-Hillsboro, OR-WA 56 0 2 3 15 21 15 0
Providence-Warwick, RI-MA 23 0 2 1 8 6 6 0
Provo-Orem, UT
Raleigh, NC 33 1 0 2 12 9 9 0
Richmond, VA 19 0 0 2 6 5 6 0
Riverside-San Bernardino-Ontario, CA 115 2 2 17 25 37 32 0
Rochester, NY 14 1 2 1 4 3 3 0
Sacramento–Roseville–Arden-Arcade, CA 75 1 1 4 17 22 30 0
St. Louis, MO-IL 47 0 0 4 17 16 10 0
Salt Lake City, UT 22 2 2 2 9 6 1 0
San Antonio-New Braunfels, TX 79 2 4 10 24 24 15 0
San Diego-Carlsbad, CA 237 4 7 24 55 88 59 0
San Francisco-Oakland-Hayward, CA 357 4 6 20 86 115 126 0
San Jose-Sunnyvale-Santa Clara, CA 186 4 1 8 51 46 76 0
Santa Rosa, CA 7 0 0 1 3 0 3 0
Scranton–Wilkes-Barre–Hazleton, PA 6 0 0 0 2 3 1 0
Seattle-Tacoma-Bellevue, WA 156 2 2 15 58 44 34 1
Spokane-Spokane Valley, WA
Springfield, MA 14 0 0 2 7 2 3 0
Stockton-Lodi, CA 53 1 3 2 13 13 20 1
Syracuse, NY 6 0 0 1 1 2 2 0
Tampa-St. Petersburg-Clearwater, FL 68 2 1 7 25 19 14 0
Toledo, OH
Tucson, AZ 27 0 1 6 4 9 7 0
Tulsa, OK 13 0 0 2 3 6 2 0
Urban Honolulu, HI 90 2 2 10 24 25 27 0
Virginia Beach-Norfolk-Newport News, VA-NC 25 1 0 2 4 10 8 0
Washington-Arlington-Alexandria, DC-VA-MD-WV 292 9 5 28 115 80 55 0
Wichita, KS 8 0 0 1 4 2 1 0
Winston-Salem, NC 10 0 0 0 6 2 2 0
Worcester, MA-CT 17 0 2 4 3 7 1 0
Youngstown-Warren-Boardman, OH-PA
Total – 107 Areas 7,289 170 152 646 2,229 2,231 1,859 2
San Juan-Caguas-Guaynabo, PR 34 1 0 0 3 14 16 0

Note: See Technical Notes for definition of metropolitan statistical areas.
Dashes (—) indicate that the data is suppressed for geographic areas below the state level that reported <5 cases in 2017.

Page last reviewed: October 22, 2018