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Incidence Rates Table

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Incidence Rate Report for Florida by County

All Races (includes Hispanic), Female, Melanoma of the Skin, All Ages
Sorted by Rate
County
sort sort alphabetically by nameascending
Annual Incidence Rate
over rate period
(95% Confidence Interval)

sort sort by ratedescending
Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Florida 6,10 14.6 (14.3, 14.9) 1,769 2008-2012 stable stable trend 2.0 (-4.1, 8.4)
US (SEER+NPCR) 1,10 15.9 (15.8, 16.0) 27,524 § 2008-2012 stable stable trend -0.2 (-1.5, 1.2)
Miami-Dade County 6,10 6.2 (5.6, 6.8) 95 2008-2012 stable stable trend -7.6 (-16.3, 2.0)
Clay County 6,10 11.2 (8.5, 14.6) 12 2008-2012
*
*
Orange County 6,10 12.1 (10.9, 13.5) 70 2008-2012 stable stable trend 2.8 (-10.0, 17.5)
Leon County 6,10 12.5 (9.9, 15.6) 17 2008-2012 stable stable trend 7.5 (-9.8, 28.1)
Broward County 6,10 12.5 (11.6, 13.5) 138 2008-2012 stable stable trend -1.2 (-7.5, 5.4)
Osceola County 6,10 13.1 (10.5, 16.1) 18 2008-2012 stable stable trend 5.7 (-5.3, 18.0)
Sumter County 6,10 13.3 (9.2, 19.4) 14 2008-2012
*
*
Duval County 6,10 13.4 (11.9, 14.9) 65 2008-2012 stable stable trend 8.2 (-4.9, 23.1)
Putnam County 6,10 13.9 (9.3, 20.2) 6 2008-2012
*
*
St. Lucie County 6,10 14.0 (11.6, 16.8) 27 2008-2012 stable stable trend -5.0 (-17.4, 9.2)
Walton County 6,10 14.1 (8.9, 21.4) 5 2008-2012
*
*
Citrus County 6,10 14.2 (10.9, 18.4) 18 2008-2012 stable stable trend 14.7 (-16.9, 58.3)
Marion County 6,10 14.5 (12.2, 17.0) 38 2008-2012 stable stable trend -7.5 (-25.1, 14.2)
Escambia County 6,10 14.5 (12.0, 17.4) 25 2008-2012 stable stable trend 22.8 (-7.9, 63.6)
Seminole County 6,10 14.9 (12.7, 17.2) 36 2008-2012 rising rising trend 8.3 (0.3, 17.0)
Collier County 6,10 15.0 (12.7, 17.7) 38 2008-2012 falling falling trend -11.9 (-18.9, -4.3)
Hillsborough County 6,10 15.4 (14.1, 16.8) 103 2008-2012 stable stable trend 2.8 (-7.4, 14.1)
Pinellas County 6,10 15.5 (14.0, 17.0) 101 2008-2012 stable stable trend 6.2 (-7.6, 22.0)
Bay County 6,10 15.6 (12.2, 19.7) 15 2008-2012 stable stable trend -4.8 (-25.0, 20.9)
Suwannee County 6,10 15.9 (8.8, 26.3) 3 2008-2012
*
*
Volusia County 6,10 16.2 (14.3, 18.4) 58 2008-2012 stable stable trend 12.5 (-13.1, 45.5)
Alachua County 6,10 16.4 (13.3, 20.1) 20 2008-2012 stable stable trend 24.3 (-17.6, 87.6)
Lee County 6,10 16.4 (14.6, 18.4) 72 2008-2012 stable stable trend -7.1 (-16.7, 3.6)
Palm Beach County 6,10 16.6 (15.4, 17.9) 160 2008-2012 stable stable trend -1.1 (-11.5, 10.6)
Charlotte County 6,10 16.7 (12.9, 21.4) 23 2008-2012 stable stable trend 21.7 (-18.4, 81.5)
Okaloosa County 6,10 17.1 (13.6, 21.2) 17 2008-2012 stable stable trend 1.8 (-17.8, 26.1)
Lake County 6,10 17.4 (14.8, 20.4) 38 2008-2012 stable stable trend -4.5 (-26.7, 24.6)
Manatee County 6,10 17.5 (14.9, 20.4) 40 2008-2012 stable stable trend 0.8 (-26.7, 38.7)
Flagler County 6,10 17.5 (13.2, 23.0) 13 2008-2012
*
*
St. Johns County 6,10 18.5 (15.1, 22.5) 22 2008-2012 stable stable trend 4.7 (-14.1, 27.7)
Brevard County 6,10 18.7 (16.6, 20.9) 70 2008-2012 stable stable trend 2.0 (-18.0, 26.9)
Hernando County 6,10 19.1 (15.5, 23.2) 25 2008-2012 stable stable trend -6.2 (-15.6, 4.1)
Monroe County 6,10 19.3 (13.8, 26.5) 9 2008-2012
*
*
Santa Rosa County 6,10 19.4 (15.3, 24.4) 16 2008-2012 stable stable trend 13.3 (-10.9, 44.0)
Pasco County 6,10 20.1 (17.8, 22.7) 62 2008-2012 stable stable trend 0.8 (-15.3, 19.9)
Nassau County 6,10 20.2 (14.9, 27.0) 10 2008-2012
*
*
Polk County 6,10 20.9 (18.8, 23.2) 78 2008-2012 stable stable trend -1.0 (-12.6, 12.3)
Highlands County 6,10 21.7 (16.6, 28.2) 17 2008-2012 stable stable trend 3.2 (-14.7, 24.8)
DeSoto County 6,10 22.2 (13.2, 35.1) 4 2008-2012
*
*
Martin County 6,10 22.3 (18.3, 27.0) 28 2008-2012 stable stable trend -1.3 (-25.7, 31.2)
Sarasota County 6,10 23.3 (20.5, 26.4) 74 2008-2012 stable stable trend 9.9 (-13.7, 40.0)
Indian River County 6,10 23.3 (19.0, 28.4) 26 2008-2012 stable stable trend 6.7 (-7.0, 22.3)
Columbia County 6,10 23.9 (17.1, 32.5) 9 2008-2012
*
*
Baker County 6,10
*
3 or fewer
2008-2012
*
*
Bradford County 6,10
*
3 or fewer
2008-2012
*
*
Calhoun County 6,10
*
3 or fewer
2008-2012
*
*
Dixie County 6,10
*
3 or fewer
2008-2012
*
*
Franklin County 6,10
*
3 or fewer
2008-2012
*
*
Gadsden County 6,10
*
3 or fewer
2008-2012
*
*
Gilchrist County 6,10
*
3 or fewer
2008-2012
*
*
Glades County 6,10
*
3 or fewer
2008-2012
*
*
Gulf County 6,10
*
3 or fewer
2008-2012
*
*
Hamilton County 6,10
*
3 or fewer
2008-2012
*
*
Hardee County 6,10
*
3 or fewer
2008-2012
*
*
Hendry County 6,10
*
3 or fewer
2008-2012
*
*
Holmes County 6,10
*
3 or fewer
2008-2012
*
*
Jackson County 6,10
*
3 or fewer
2008-2012
*
*
Jefferson County 6,10
*
3 or fewer
2008-2012
*
*
Lafayette County 6,10
*
3 or fewer
2008-2012
*
*
Levy County 6,10
*
3 or fewer
2008-2012
*
*
Liberty County 6,10
*
3 or fewer
2008-2012
*
*
Madison County 6,10
*
3 or fewer
2008-2012
*
*
Okeechobee County 6,10
*
3 or fewer
2008-2012
*
*
Taylor County 6,10
*
3 or fewer
2008-2012
*
*
Union County 6,10
*
3 or fewer
2008-2012
*
*
Wakulla County 6,10
*
3 or fewer
2008-2012
*
*
Washington County 6,10
*
3 or fewer
2008-2012
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/30/2015 3:53 am.
Data for the United States does not include data from Nevada.
State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used with NPCR November 2014 data.

Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Suppression is used to avoid misinterpretation when rates are unstable.

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