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Death Rates Table

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Death Rate Report for Florida by County

Bladder, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Florida *** 4.3 (4.2, 4.4) 1,241 falling falling trend -0.3 (-0.5, -0.1)
United States *** 4.4 (4.4, 4.4) 15,609 stable stable trend -0.0 (-0.1, 0.0)
Columbia County *** 7.3 (4.9, 10.5) 6 stable stable trend -0.1 (-2.1, 1.9)
Okeechobee County *** 7.2 (4.3, 11.6) 4
*
*
Monroe County *** 7.0 (5.0, 9.8) 8 stable stable trend 1.2 (-0.4, 2.7)
Citrus County *** 6.2 (5.1, 7.7) 22 stable stable trend 0.9 (-0.6, 2.3)
Levy County *** 6.1 (3.7, 9.8) 4
*
*
Hernando County *** 5.3 (4.3, 6.6) 19 stable stable trend 0.2 (-0.9, 1.3)
Putnam County *** 5.2 (3.5, 7.6) 6 stable stable trend -0.0 (-2.5, 2.5)
Nassau County *** 5.2 (3.4, 7.6) 6
*
*
Pinellas County *** 5.1 (4.6, 5.6) 87 stable stable trend 0.3 (-0.2, 0.9)
Duval County *** 5.1 (4.4, 5.8) 44 stable stable trend -0.4 (-1.3, 0.6)
Volusia County *** 5.0 (4.4, 5.8) 44 stable stable trend -0.2 (-0.9, 0.6)
Jackson County *** 5.0 (2.8, 8.4) 3
*
*
Pasco County *** 5.0 (4.3, 5.7) 40 stable stable trend -0.5 (-1.4, 0.5)
Marion County *** 4.9 (4.2, 5.8) 32 stable stable trend -0.0 (-1.4, 1.3)
Brevard County *** 4.9 (4.3, 5.6) 47 stable stable trend 0.3 (-0.8, 1.4)
Lake County *** 4.9 (4.1, 5.8) 29 stable stable trend -0.1 (-1.3, 1.0)
Santa Rosa County *** 4.9 (3.5, 6.7) 8
*
*
Polk County *** 4.8 (4.2, 5.5) 42 stable stable trend 0.0 (-0.9, 1.0)
Okaloosa County *** 4.8 (3.6, 6.3) 10 stable stable trend 0.7 (-0.8, 2.2)
Escambia County *** 4.8 (3.8, 5.9) 18 stable stable trend 0.7 (-1.1, 2.4)
Alachua County *** 4.7 (3.5, 6.1) 11 stable stable trend -0.7 (-2.2, 0.8)
Flagler County *** 4.5 (3.3, 6.3) 9
*
*
Sumter County *** 4.5 (3.1, 6.6) 12
*
*
Hillsborough County *** 4.4 (3.9, 4.9) 58 falling falling trend -1.3 (-2.1, -0.5)
Martin County *** 4.3 (3.4, 5.6) 15 stable stable trend -1.1 (-3.1, 0.9)
Orange County *** 4.2 (3.7, 4.8) 44 stable stable trend -0.3 (-1.1, 0.5)
Broward County *** 4.2 (3.8, 4.6) 98 falling falling trend -0.4 (-0.8, -0.1)
Indian River County *** 4.2 (3.2, 5.6) 13 stable stable trend -0.4 (-2.5, 1.8)
Seminole County *** 4.2 (3.4, 5.1) 20 stable stable trend -0.8 (-2.3, 0.7)
Clay County *** 4.2 (3.0, 5.7) 8
*
*
Lee County *** 4.2 (3.7, 4.7) 51 stable stable trend 1.9 (-0.9, 4.7)
Leon County *** 4.1 (3.0, 5.5) 10 stable stable trend 0.6 (-1.7, 2.9)
Palm Beach County *** 4.0 (3.7, 4.4) 112 stable stable trend -0.2 (-0.8, 0.5)
Osceola County *** 4.0 (3.0, 5.2) 11 stable stable trend -0.1 (-2.0, 1.8)
St. Johns County *** 4.0 (3.0, 5.2) 11 stable stable trend -0.4 (-2.2, 1.4)
St. Lucie County *** 3.9 (3.2, 4.9) 18 stable stable trend -0.5 (-2.1, 1.1)
Highlands County *** 3.9 (2.8, 5.5) 10 stable stable trend -2.4 (-4.7, 0.0)
Manatee County *** 3.8 (3.2, 4.6) 26 stable stable trend 0.1 (-0.9, 1.1)
Charlotte County *** 3.7 (2.9, 4.8) 16 stable stable trend -1.4 (-2.9, 0.2)
Miami-Dade County *** 3.7 (3.4, 4.0) 118 falling falling trend -0.8 (-1.3, -0.3)
Bay County *** 3.0 (2.1, 4.3) 7 stable stable trend -0.6 (-3.0, 1.9)
Collier County *** 3.0 (2.5, 3.7) 22 falling falling trend -2.0 (-3.2, -0.7)
Sarasota County *** 3.0 (2.5, 3.6) 32 falling falling trend -1.1 (-2.0, -0.2)
Baker County ***
*
3 or fewer
*
*
Bradford County ***
*
3 or fewer
*
*
Calhoun County ***
*
3 or fewer
*
*
DeSoto County ***
*
3 or fewer
*
*
Dixie County ***
*
3 or fewer
*
*
Franklin County ***
*
3 or fewer
*
*
Gadsden County ***
*
3 or fewer
*
*
Gilchrist County ***
*
3 or fewer
*
*
Glades County ***
*
3 or fewer
*
*
Gulf County ***
*
3 or fewer
*
*
Hamilton County ***
*
3 or fewer
*
*
Hardee County ***
*
3 or fewer
*
*
Hendry County ***
*
3 or fewer
*
*
Holmes County ***
*
3 or fewer
*
*
Jefferson County ***
*
3 or fewer
*
*
Lafayette County ***
*
3 or fewer
*
*
Liberty County ***
*
3 or fewer
*
*
Madison County ***
*
3 or fewer
*
*
Suwannee County ***
*
3 or fewer
*
*
Taylor County ***
*
3 or fewer
*
*
Union County ***
*
3 or fewer
*
*
Wakulla County ***
*
3 or fewer
*
*
Walton County ***
*
3 or fewer
*
*
Washington County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/21/2019 3:40 pm.

*** No Healthy People 2020 Objective for this cancer.
State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death 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 calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for mortality data.
The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


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.

Data for United States does not include Puerto Rico.

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