Table 8. Chlamydia Among Men — Reported Cases and Rates of Reported Cases in Selected Metropolitan Statistical Areas (MSAs)* in Alphabetical Order, United States, 2012–2016
MSAs | Cases | Rates per 100,000 Population | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | 2012 | 2013 | 2014 | 2015 | 2016 | |
Atlanta-Sandy Springs-Roswell, GA | 7,917 | 5,061† | 7,979 | 6,429† | 11,000 | 298.3 | 188.7† | 293.2 | 232.6† | 397.9 |
Austin-Round Rock, TX | 2,890 | 2,592 | 3,372 | 3,871 | 4,444 | 314.3 | 274.7 | 346.8 | 386.8 | 444.1 |
Baltimore-Columbia-Towson, MD | 3,608 | 3,889 | 4,294 | 4,514 | 5,446 | 271.8 | 290.9 | 319.6 | 334.6 | 403.6 |
Birmingham-Hoover, AL | 1,985 | 2,031 | 1,990 | 1,886 | 306† | 362.5 | 369.7 | 361.6 | 342.4 | 55.6† |
Boston-Cambridge-Newton, MA-NH | 5,086 | 5,328 | 4,988† | 5,211† | 5,861† | 226.0 | 234.4 | 217.2† | 224.8† | 252.8† |
Buffalo-Cheektowaga-Niagara Falls, NY | 1,693 | 1,700 | 1,764 | 1,865 | 2,110 | 308.5 | 309.5 | 320.3 | 338.8 | 383.3 |
Charlotte-Concord-Gastonia, NC-SC | 2,794 | 2,804 | 3,125 | 4,607 | 4,278 | 250.2 | 247.0 | 270.4 | 391.0 | 363.1 |
Chicago-Naperville-Elgin, IL-IN-WI | 14,518 | 13,553 | 15,679 | 17,517 | 19,320 | 311.8 | 290.4 | 335.7 | 374.9 | 413.5 |
Cincinnati, OH-KY-IN | 2,482 | 2,676 | 2,787 | 3,168 | 3,333 | 238.3 | 255.7 | 264.9 | 299.9 | 315.5 |
Cleveland-Elyria, OH | 3,462 | 3,576 | 3,449 | 3,497 | 3,874 | 348.5 | 359.4 | 346.5 | 351.8 | 389.7 |
Columbus, OH | 2,666 | 2,985 | 3,363 | 3,623 | 4,086 | 279.0 | 308.7 | 342.8 | 364.2 | 410.8 |
Dallas-Fort Worth-Arlington, TX | 7,669 | 7,916 | 8,313 | 9,941 | 10,006 | 231.9 | 235.7 | 243.0 | 284.7 | 286.5 |
Denver-Aurora-Lakewood, CO | 3,647 | 3,684 | 4,326 | 4,677 | 4,922 | 276.9 | 274.1 | 315.2 | 333.3 | 350.7 |
Detroit-Warren-Dearborn, MI | 6,718 | 6,350 | 6,153 | 6,795 | 6,992 | 322.8 | 304.7 | 295.0 | 325.2 | 334.6 |
Hartford-West Hartford-East Hartford, CT | 1,245† | 1,181 | 1,333 | 1,443 | 1,541 | 210.5† | 199.4 | 225.1 | 244.2 | 260.8 |
Houston-The Woodlands-Sugar Land, TX | 5,944 | 7,078 | 7,700 | 8,939 | 10,004 | 193.3 | 225.1 | 238.6 | 270.2 | 302.4 |
Indianapolis-Carmel-Anderson, IN | 3,802 | 3,681 | 3,544 | 3,723 | 4,185 | 403.2 | 385.3 | 368.0 | 383.0 | 430.6 |
Jacksonville, FL | 2,001 | 1,989 | 2,138 | 2,367 | 2,672 | 298.2 | 292.7 | 309.4 | 335.1 | 378.2 |
Kansas City, MO-KS | 2,857 | 2,718 | 2,875 | 3,132 | 3,499 | 286.1 | 269.7 | 283.1 | 305.6 | 341.5 |
Las Vegas-Henderson-Paradise, NV | 2,644 | 2,708 | 2,986 | 3,139 | 3,646 | 262.9 | 266.1 | 288.3 | 297.1 | 345.1 |
Los Angeles-Long Beach-Anaheim, CA | 20,633 | 20,831 | 23,766 | 25,764 | 28,299 | 320.3 | 321.3 | 363.6 | 391.8 | 430.4 |
Louisville-Jefferson County, KY-IN | 1,744 | 1,781 | 1,896 | 2,031 | 2,131 | 285.4 | 289.0 | 305.9 | 325.1 | 341.1 |
Memphis, TN-MS-AR | 3,377 | 3,046 | 2,795 | 3,104 | 3,035 | 524.3 | 473.2 | 434.1 | 482.2 | 471.4 |
Miami-Fort Lauderdale-West Palm Beach, FL | 6,238 | 7,134 | 8,086 | 9,270 | 10,172 | 223.0 | 252.0 | 281.1 | 318.1 | 349.1 |
Milwaukee-Waukesha-West Allis, WI | 3,169 | 3,284 | 3,111 | 3,394 | 3,860 | 415.5 | 429.7 | 406.6 | 442.3 | 503.1 |
Minneapolis-St. Paul-Bloomington, MN-WI | 3,813† | 3,933† | 4,623 | 5,206† | 5,614 | 225.4† | 229.9† | 267.5 | 298.4† | 321.8 |
Nashville-Davidson-Murfreesboro-Franklin, TN | 2,185 | 2,271 | 2,598 | 2,744 | 2,822 | 259.1 | 264.6 | 297.3 | 307.5 | 316.2 |
New Orleans-Metairie, LA | 1,792 | 2,072 | 2,294 | 2,581 | 2,783 | 300.7 | 344.2 | 378.7 | 422.7 | 455.8 |
New York-Newark-Jersey City, NY-NJ-PA | 29,065 | 28,546 | 31,310 | 34,799 | 39,725 | 303.3 | 295.8 | 322.3 | 356.3 | 406.8 |
Oklahoma City, OK | 1,688 | 1,760 | 2,036 | 2,213 | 2,385 | 263.8 | 270.4 | 309.1 | 330.7 | 356.4 |
Orlando-Kissimmee-Sanford, FL | 2,555 | 2,708 | 2,964 | 3,511 | 3,896 | 234.7 | 243.9 | 261.2 | 301.0 | 334.1 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 11,314 | 11,178 | 11,010 | 11,912 | 13,315 | 389.2 | 383.4 | 376.5 | 406.1 | 453.9 |
Phoenix-Mesa-Scottsdale, AZ | 5,960 | 5,957 | 6,735 | 7,173 | 7,944 | 276.8 | 272.3 | 302.0 | 315.7 | 349.7 |
Pittsburgh, PA | 2,668 | 2,550 | 2,541 | 2,909 | 3,062 | 233.3 | 222.6 | 222.1 | 254.3 | 267.6 |
Portland-Vancouver-Hillsboro, OR-WA | 2,437 | 2,723 | 3,124 | 3,416 | 3,970 | 215.3 | 238.1 | 269.2 | 289.3 | 336.2 |
Providence-Warwick, RI-MA | 1,683 | 1,702 | 1,744† | 1,913† | 2,163† | 217.1 | 218.9 | 223.6† | 244.7† | 276.6† |
Raleigh, NC | 1,673 | 1,474 | 1,622 | 2,226 | 2,248 | 288.3 | 248.6 | 267.5 | 358.3 | 361.8 |
Richmond, VA | 2,129 | 2,011 | 2,503 | 2,540 | 2,827 | 357.6 | 333.9 | 410.9 | 413.5 | 460.3 |
Riverside-San Bernardino-Ontario, CA | 5,683 | 5,271 | 5,542 | 6,070 | 6,141 | 262.3 | 241.5 | 250.8 | 271.8 | 274.9 |
Sacramento-Roseville-Arden-Arcade, CA | 2,712 | 2,846 | 2,976 | 3,322 | 3,580 | 251.9 | 262.2 | 270.9 | 298.5 | 321.6 |
Salt Lake City, UT | 1,362 | 1,406 | 1,550 | 1,684 | 1,989 | 241.0 | 245.2 | 267.7 | 286.6 | 338.5 |
San Antonio-New Braunfels, TX | 3,587 | 3,757 | 3,412 | 4,459 | 4,683 | 326.1 | 334.5 | 297.2 | 379.1 | 398.1 |
San Diego-Carlsbad, CA | 5,418 | 5,013 | 5,508 | 6,190 | 7,195 | 339.3 | 310.6 | 335.9 | 373.0 | 433.6 |
San Francisco-Oakland-Hayward, CA | 6,739 | 7,370 | 8,823 | 10,961 | 11,936 | 306.5 | 330.5 | 389.4 | 476.9 | 519.3 |
San Jose-Sunnyvale-Santa Clara, CA | 1,353 | 2,186 | 2,163 | 2,565 | 2,717 | 142.1 | 226.5 | 220.3 | 257.8 | 273.1 |
Seattle-Tacoma-Bellevue, WA | 4,505 | 4,560 | 5,110 | 5,951 | 6,799 | 254.5 | 253.0 | 278.5 | 318.8 | 364.3 |
St. Louis, MO-IL | 4,474 | 4,411 | 4,429 | 4,762 | 5,091 | 330.5 | 325.1 | 325.8 | 349.4 | 373.6 |
Tampa-St. Petersburg-Clearwater, FL | 3,532 | 3,752 | 3,835 | 4,195 | 4,632 | 256.3 | 270.0 | 271.8 | 291.3 | 321.7 |
Virginia Beach-Norfolk-Newport News, VA-NC | 3,631 | 3,584 | 3,748 | 3,595 | 4,406 | 434.3 | 426.5 | 443.4 | 423.0 | 518.4 |
Washington-Arlington-Alexandria, DC-VA-MD-WV | 7,461 | 7,725 | 5,813 | 6,359 | 7,595 | 261.1 | 265.8 | 197.2 | 213.5 | 255.0 |
SELECTED MSAs TOTAL | 240,208 | 240,342 | 259,825 | 287,163 | 318,540 | 286.5 | 283.8 | 303.4 | 331.8 | 368.0 |
* MSAs were selected on the basis of the largest population in the 2010 U.S. 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 Appendix A1.4 for more information.
NOTE: Cases reported with unknown sex are not included in this table.
County was misclassified in the 2016 Alabama STD morbidity data resulting in inaccurate county-level case counts and rates. Tables will be updated when corrected data are available.
- Page last reviewed: August 21, 2017
- Page last updated: August 21, 2017
- Content source: