Table 8. Chlamydia Among Males — Reported Cases and Rates of Reported Cases in Selected Metropolitan Statistical Areas (MSAs)* in Alphabetical Order, United States, 2014–2018
Metropolitan Statistical Area | Cases | Rates per 100,000 Population | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
2014 | 2015 | 2016 | 2017 | 2018 | 2014 | 2015 | 2016 | 2017 | 2018 | |
Atlanta-Sandy Springs-Roswell, GA | 7,979 | 6,429† | 11,000 | 11,888 | 11,533† | 293.2 | 232.6† | 392.9 | 417.9 | 405.4† |
Austin-Round Rock, TX | 3,372 | 3,871 | 4,444 | 4,775 | 4,964 | 346.8 | 386.8 | 431.9 | 450.2 | 468.0 |
Baltimore-Columbia-Towson, MD | 4,294 | 4,514 | 5,446 | 5,755 | 6,297 | 319.6 | 334.6 | 403.7 | 425.0 | 465.0 |
Birmingham-Hoover, AL | 1,990 | 1,886 | 1,573‡ | 2,377 | 2,231 | 361.6 | 342.4 | 284.9‡ | 429.9 | 403.5 |
Boston-Cambridge-Newton, MA-NH | 4,988† | 5,211† | 5,861† | 6,887† | 8,165 | 217.2† | 224.8† | 251.7† | 292.9† | 347.3 |
Buffalo-Cheektowaga-Niagara Falls, NY | 1,764 | 1,865 | 2,110 | 2,201 | 2,210 | 320.3 | 338.8 | 384.0 | 399.4 | 401.1 |
Charlotte-Concord-Gastonia, NC-SC | 3,125 | 4,607 | 4,278 | 5,085 | 5,631 | 270.4 | 391.0 | 356.7 | 415.1 | 459.7 |
Chicago-Naperville-Elgin, IL-IN-WI | 15,679 | 17,517 | 19,320 | 21,071 | 22,204 | 335.7 | 374.9 | 414.8 | 451.3 | 475.6 |
Cincinnati, OH-KY-IN | 2,787 | 3,168 | 3,333 | 3,352 | 3,467 | 264.9 | 299.9 | 314.1 | 313.8 | 324.6 |
Cleveland-Elyria, OH | 3,449 | 3,497 | 3,874 | 4,606 | 4,673 | 346.5 | 351.8 | 390.3 | 463.2 | 469.9 |
Columbus, OH | 3,363 | 3,623 | 4,086 | 4,057 | 4,390 | 342.8 | 364.2 | 406.7 | 396.6 | 429.1 |
Dallas-Fort Worth-Arlington, TX | 8,313 | 9,941 | 10,006 | 11,342 | 11,936 | 243.0 | 284.7 | 281.4 | 311.5 | 327.8 |
Denver-Aurora-Lakewood, CO | 4,326 | 4,677 | 4,922 | 5,868 | 6,414 | 315.2 | 333.3 | 345.8 | 406.4 | 444.3 |
Detroit-Warren-Dearborn, MI | 6,153 | 6,795 | 6,992 | 8,048 | 8,246 | 295.0 | 325.2 | 334.6 | 383.4 | 392.8 |
Hartford-West Hartford-East Hartford, CT | 1,333 | 1,443 | 1,541 | 1,982† | 1,987† | 225.1 | 244.2 | 261.5 | 335.5† | 336.3† |
Houston-The Woodlands-Sugar Land, TX | 7,700 | 8,939 | 10,004 | 10,434 | 11,106 | 238.6 | 270.2 | 297.4 | 304.8 | 324.4 |
Indianapolis-Carmel-Anderson, IN | 3,544 | 3,723 | 4,185 | 4,604 | 4,593 | 368.0 | 383.0 | 427.3 | 464.3 | 463.2 |
Jacksonville, FL | 2,138 | 2,367 | 2,672 | 2,854 | 2,974 | 309.4 | 335.1 | 371.1 | 389.0 | 405.4 |
Kansas City, MO-KS | 2,875 | 3,132 | 3,499 | 3,921 | 4,398 | 283.1 | 305.6 | 338.8 | 375.1 | 420.7 |
Las Vegas-Henderson-Paradise, NV | 2,986 | 3,139 | 3,646 | 4,228 | 5,038 | 288.3 | 297.1 | 339.1 | 384.5 | 458.2 |
Los Angeles-Long Beach-Anaheim, CA | 23,766 | 25,764 | 28,299 | 31,501 | 33,493 | 363.6 | 391.8 | 431.4 | 478.4 | 508.7 |
Louisville-Jefferson County, KY-IN | 1,896 | 2,031 | 2,131 | 2,323 | 2,073 | 305.9 | 325.1 | 339.7 | 367.2 | 327.6 |
Memphis, TN-MS-AR | 2,795 | 3,104 | 3,035 | 3,546 | 3,897 | 434.1 | 482.2 | 472.1 | 549.5 | 603.9 |
Miami-Fort Lauderdale-West Palm Beach, FL | 8,086 | 9,270 | 10,172 | 11,141 | 11,965 | 281.1 | 318.1 | 345.6 | 372.3 | 399.8 |
Milwaukee-Waukesha-West Allis, WI | 3,111 | 3,394 | 3,860 | 4,021 | 4,248 | 406.6 | 442.3 | 503.6 | 523.1 | 552.7 |
Minneapolis-St. Paul-Bloomington, MN-WI | 4,623† | 5,206† | 5,614 | 6,192 | 6,335 | 267.5† | 298.4† | 319.1 | 346.9 | 354.9 |
Nashville-Davidson-Murfreesboro-Franklin, TN | 2,598 | 2,744 | 2,822 | 3,081 | 3,565 | 297.3 | 307.5 | 310.4 | 331.4 | 383.5 |
New Orleans-Metairie, LA | 2,294 | 2,581 | 2,783 | 3,185 | 3,605 | 378.7 | 422.7 | 453.4 | 517.1 | 585.3 |
New York-Newark-Jersey City, NY-NJ-PA | 31,310 | 34,799 | 39,725 | 44,597 | 47,384 | 322.3 | 356.3 | 407.3 | 453.5 | 481.8 |
Oklahoma City, OK | 2,036 | 2,213 | 2,385 | 2,529 | 2,663 | 309.1 | 330.7 | 352.3 | 370.4 | 390.0 |
Orlando-Kissimmee-Sanford, FL | 2,964 | 3,511 | 3,896 | 4,616 | 4,992 | 261.2 | 301.0 | 326.5 | 376.2 | 406.9 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 11,010 | 11,912 | 13,315 | 13,889 | 14,401 | 376.5 | 406.1 | 453.5 | 471.2 | 488.6 |
Phoenix-Mesa-Scottsdale, AZ | 6,735 | 7,173 | 7,944 | 9,354 | 10,133 | 302.0 | 315.7 | 343.1 | 397.1 | 430.2 |
Pittsburgh, PA | 2,541 | 2,909 | 3,062 | 2,876 | 3,172 | 222.1 | 254.3 | 268.5 | 253.2 | 279.2 |
Portland-Vancouver-Hillsboro, OR-WA | 3,124 | 3,416 | 3,970 | 4,271 | 4,426 | 269.2 | 289.3 | 331.1 | 351.8 | 364.6 |
Providence-Warwick, RI-MA | 1,744† | 1,913† | 2,163† | 2,350† | 2,547 | 223.6† | 244.7† | 276.0† | 298.6† | 323.6 |
Raleigh, NC | 1,622 | 2,226 | 2,248 | 2,522 | 2,693 | 267.5 | 358.3 | 354.3 | 387.2 | 413.5 |
Richmond, VA | 2,503 | 2,540 | 2,827 | 2,797 | 2,992 | 410.9 | 413.5 | 456.9 | 447.5 | 478.7 |
Riverside-San Bernardino-Ontario, CA | 5,542 | 6,070 | 6,141 | 7,415 | 7,730 | 250.8 | 271.8 | 272.7 | 325.2 | 339.0 |
Sacramento-Roseville-Arden-Arcade, CA | 2,976 | 3,322 | 3,580 | 4,255 | 4,838 | 270.9 | 298.5 | 318.9 | 374.2 | 425.4 |
Salt Lake City, UT | 1,550 | 1,684 | 1,989 | 1,991 | 2,046 | 267.7 | 286.6 | 333.9 | 329.5 | 338.6 |
San Antonio-New Braunfels, TX | 3,412 | 4,459 | 4,683 | 4,652 | 4,030 | 297.2 | 379.1 | 390.4 | 380.3 | 329.5 |
San Diego-Carlsbad, CA | 5,508 | 6,190 | 7,195 | 8,017 | 8,475 | 335.9 | 373.0 | 431.3 | 477.5 | 504.8 |
San Francisco-Oakland-Hayward, CA | 8,823 | 10,961 | 11,936 | 13,788 | 14,790 | 389.4 | 476.9 | 516.5 | 589.9 | 632.8 |
San Jose-Sunnyvale-Santa Clara, CA | 2,163 | 2,565 | 2,717 | 3,109 | 3,373 | 220.3 | 257.8 | 272.1 | 307.9 | 334.1 |
Seattle-Tacoma-Bellevue, WA | 5,110 | 5,951 | 6,799 | 7,375 | 8,200 | 278.5 | 318.8 | 358.0 | 381.1 | 423.7 |
St. Louis, MO-IL | 4,429 | 4,762 | 5,091 | 5,450 | 5,801 | 325.8 | 349.4 | 373.9 | 400.2 | 425.9 |
Tampa-St. Petersburg-Clearwater, FL | 3,835 | 4,195 | 4,632 | 4,768 | 5,166 | 271.8 | 291.3 | 315.5 | 318.2 | 344.8 |
Virginia Beach-Norfolk-Newport News, VA-NC | 3,748 | 3,595 | 4,406 | 4,593 | 4,959 | 443.4 | 423.0 | 518.4 | 541.2 | 584.3 |
Washington-Arlington-Alexandria, DC-VA-MD-WV | 5,813 | 6,359 | 7,595 | 12,856 | 13,275 | 197.2 | 213.5 | 253.6 | 423.0 | 436.8 |
SELECTED MSAs TOTAL | 259,825 | 287,163 | 319,807 | 358,395 | 379,724 | 303.4 | 331.8 | 367.0 | 406.7 | 430.9 |
* MSAs were selected on the basis of the largest population in the 2010 US Census.
† The variable used to identify county, which is used to classify cases into MSAs, was complete for ≤95% of cases in a state contributing data to this MSA. See Section A1.4 in the Appendix for more information.
‡ 2016 county data for Alabama have been corrected and may not match previous reports.
NOTE: Cases reported with unknown sex are not included in this table. County was misclassified in the 2017 District of Columbia STD morbidity data resulting in inaccurate county-level case counts and rates.
Page last reviewed: August 20, 2019