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Bacterial STDs

Definition:
Bacterial STDs are comprised of three reportable STDs in Florida: chlamydia, gonorrhea, and syphilis.

Why do we measure this?
Most STDs affect both men and women, but in many cases the health problems they cause can be more severe for women. Bacterial STDs can result in infertility, pain, and discharge. If a pregnant woman has an STD, it can cause serious health problems for the baby including miscarriage and stillbirth. Correct usage of latex condoms greatly reduces, but does not completely eliminate, the risk of catching or spreading STDs.

  Type
  
  Measure Type
  
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Bacterial STDs, Rate Per 100,000 Population, Single Year
AlachuaFlorida
YearCountDenomRateMOV
(+/-)
CountDenomRateMOV
(+/-)
2019 3,607 266,649 1,352.7* 43.8 161,216 21,268,553 758.0 3.7
2018 3,410 263,753 1,292.9* 43.1 148,157 20,957,705 706.9 3.6
2017 2,933 259,349 1,130.9* 40.7 140,669 20,555,733 684.3 3.6
2016 2,989 257,478 1,160.9* 41.4 131,236 20,231,092 648.7 3.5
2015 2,839 255,631 1,110.6* 40.6 121,994 19,897,762 613.1 3.4
2014 2,393 251,760 950.5* 37.9 109,760 19,579,871 560.6 3.3
2013 2,519 248,526 1,013.6* 39.4 106,858 19,314,396 553.3 3.3
2012 2,570 246,893 1,040.9* 40.0 101,955 19,118,938 533.3 3.3
2011 2,325 247,151 940.7* 38.1 99,923 18,941,742 527.5 3.3
2010 2,209 247,669 891.9* 37.0 99,027 18,820,280 526.2 3.3
2009 2,240 246,489 908.8* 37.5 97,676 18,711,844 522.0 3.3
2008 2,302 244,664 940.9* 38.3 98,550 18,636,837 528.8 3.3
2007 2,324 242,215 959.5* 38.8 85,174 18,500,958 460.4 3.1
2006 2,173 238,704 910.3* 38.1 77,571 18,237,596 425.3 3.0
Bacterial STDs, Rate Per 100,000 Population, 2019
CountySortCountSortDenomRateSortMOV
(+/-)
Florida 161,216 21,268,553 758.0 3.7
Alachua 3,607 266,649 1,352.7* 43.8
Baker 196 28,089 697.8 97.3
Bay 1,117 179,900 620.9* 36.3
Bradford 218 28,455 766.1 101.3
Brevard 2,872 593,372 484.0* 17.7
Broward 18,853 1,927,014 978.4* 13.9
Calhoun 97 14,982 647.4 128.4
Charlotte 406 182,298 222.7* 21.6
Citrus 546 147,735 369.6* 30.9
Clay 1,435 217,109 661.0* 34.1
Collier 1,384 377,700 366.4* 19.3
Columbia 649 70,614 919.1* 70.4
Miami-Dade 23,048 2,830,500 814.3* 10.5
DeSoto 138 35,718 386.4* 64.3
Dixie 139 16,516 841.6 139.3
Duval 12,696 971,842 1,306.4* 22.6
Escambia 3,443 322,901 1,066.3* 35.4
Flagler 431 110,636 389.6* 36.7
Franklin 40 12,017 332.9* 103.0
Gadsden 756 47,926 1,577.4* 111.6
Gilchrist 88 17,682 497.7* 103.7
Glades 69 13,098 526.8* 124.0
Gulf 80 16,507 484.6* 105.9
Hamilton 171 14,787 1,156.4* 172.3
Hardee 176 27,311 644.4* 94.9
Hendry 250 40,089 623.6* 77.1
Hernando 783 189,661 412.8* 28.9
Highlands 490 103,391 473.9* 41.9
Hillsborough 12,868 1,445,243 890.4* 15.3
Holmes 111 20,218 549.0* 101.9
Indian River 662 155,308 426.2* 32.4
Jackson 447 50,325 888.2* 82.0
Jefferson 116 14,842 781.6 141.7
Lafayette 42 8,613 487.6* 147.1
Lake 1,732 354,537 488.5* 23.0
Lee 4,158 734,630 566.0* 17.2
Leon 4,749 296,717 1,600.5* 45.2
Levy 349 41,354 843.9 88.2
Liberty 41 9,167 447.3* 136.6
Madison 142 19,533 727.0 119.1
Manatee 2,541 388,729 653.7* 25.3
Marion 2,530 360,053 702.7* 27.3
Martin 464 158,006 293.7* 26.7
Monroe 304 73,253 415.0* 46.6
Nassau 359 85,135 421.7* 43.5
Okaloosa 1,614 201,104 802.6* 39.0
Okeechobee 203 41,347 491.0* 67.4
Orange 14,918 1,389,297 1,073.8* 17.1
Osceola 2,693 368,678 730.4* 27.5
Palm Beach 8,384 1,458,576 574.8* 12.3
Pasco 2,377 527,174 450.9* 18.1
Pinellas 6,653 979,558 679.2* 16.3
Polk 5,449 688,770 791.1* 20.9
Putnam 644 73,012 882.0* 67.8
St. Johns 867 249,734 347.2* 23.1
St. Lucie 1,983 309,073 641.6* 28.1
Santa Rosa 723 179,875 401.9* 29.2
Sarasota 1,628 426,977 381.3* 18.5
Seminole 2,782 472,775 588.4* 21.8
Sumter 272 130,642 208.2* 24.7
Suwannee 321 45,482 705.8 76.9
Taylor 121 22,652 534.2* 94.9
Union 126 15,985 788.2 137.1
Volusia 2,962 539,563 549.0* 19.7
Wakulla 207 32,418 638.5* 86.7
Walton 296 70,352 420.7* 47.8
Washington 200 25,347 789.0 108.9
Unknown 0

9/28/2020 7:01 AM
FLHealthCharts.com is provided by the Florida Department of Health, Division of Public Health Statistics & Performance Management.

Data Source: Florida Department of Health, Bureau of Communicable Diseases
Data Note(s)
  • Bacterial STD, chlamydia, gonorrhea, congenital syphilis, early syphilis, infectious syphilis and total syphilis data are updated each year from 2006 to the most recent reporting year to ensure a case has not been counted more than once. This update is necessary because duplicate cases may occur when persons with a sexually transmitted disease diagnosis move to a different county, state or country.
  • Annually, the proportion of records with unknown attributes are as follows: unknown age 0.01%; unknown sex 0.13%; unknown race 21%; unknown ethnicity 23%. Exact counts are available by clicking "Unknown Race/Ethnicity/Sex Cases" link. Unknown cases are not included in rate calculation.
  • This is primary, quantitative data.
  • Chart will display if there are at least three years of data.
  • Multi-year counts are a sum of the selected years, not an average.
  • Quartiles are calculated when data is available for at least 51 counties.
  • MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.
  • Denom - abbreviated for Denominator.
  • Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.
  • * - Indicates the county rate is statistically significantly different from the statewide rate.
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