Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Tennessee by County

Bladder, 2011-2015

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

Sorted by Count
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 descending
Average Annual Count
 sort by count ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Tennessee *** 4.3 (4.0, 4.5) 310 stable stable trend 0.2 (-0.2, 0.6)
United States *** 4.4 (4.4, 4.4) 15,609 stable stable trend -0.0 (-0.1, 0.0)
Shelby County *** 3.9 (3.3, 4.6) 34 stable stable trend -0.1 (-1.1, 0.9)
Davidson County *** 4.7 (3.9, 5.6) 27 rising rising trend 1.2 (0.2, 2.1)
Knox County *** 3.9 (3.2, 4.8) 19 stable stable trend -1.2 (-2.4, 0.0)
Hamilton County *** 3.7 (2.9, 4.6) 16 falling falling trend -1.6 (-2.8, -0.4)
Sullivan County *** 4.6 (3.5, 6.1) 11 stable stable trend 1.0 (-1.1, 3.3)
Sumner County *** 4.5 (3.2, 6.2) 8
*
*
Montgomery County *** 6.6 (4.6, 9.0) 8 stable stable trend 2.6 (-0.6, 5.8)
Blount County *** 3.9 (2.7, 5.5) 7 stable stable trend -0.2 (-2.7, 2.3)
Rutherford County *** 3.0 (2.0, 4.2) 7 stable stable trend -1.4 (-3.6, 0.8)
Washington County *** 4.3 (2.9, 6.0) 7 stable stable trend 0.1 (-2.6, 2.8)
Williamson County *** 3.8 (2.6, 5.4) 6
*
*
Putnam County *** 6.9 (4.7, 10.0) 6
*
*
Wilson County *** 4.9 (3.2, 7.0) 6
*
*
Coffee County *** 7.5 (4.9, 11.2) 5
*
*
Anderson County *** 3.9 (2.5, 6.0) 5 stable stable trend -0.0 (-2.1, 2.1)
Cumberland County *** 4.3 (2.6, 7.0) 4
*
*
Greene County *** 4.4 (2.7, 6.8) 4 stable stable trend 0.6 (-2.1, 3.5)
Hawkins County *** 5.4 (3.3, 8.5) 4
*
*
Maury County *** 4.0 (2.4, 6.4) 4
*
*
Tipton County *** 6.5 (3.9, 10.3) 4
*
*
Madison County *** 3.1 (1.8, 5.0) 3
*
*
Sevier County *** 2.9 (1.7, 4.8) 3 falling falling trend -2.9 (-5.6, -0.2)
Carroll County *** 8.0 (4.5, 13.4) 3
*
*
Bedford County ***
*
3 or fewer
*
*
Benton County ***
*
3 or fewer
*
*
Bledsoe County ***
*
3 or fewer
*
*
Bradley County ***
*
3 or fewer
*
*
Campbell County ***
*
3 or fewer
*
*
Cannon County ***
*
3 or fewer
*
*
Carter County ***
*
3 or fewer
*
*
Cheatham County ***
*
3 or fewer
*
*
Chester County ***
*
3 or fewer
*
*
Claiborne County ***
*
3 or fewer
*
*
Clay County ***
*
3 or fewer
*
*
Cocke County ***
*
3 or fewer
*
*
Crockett County ***
*
3 or fewer
*
*
DeKalb County ***
*
3 or fewer
*
*
Decatur County ***
*
3 or fewer
*
*
Dickson County ***
*
3 or fewer
*
*
Dyer County ***
*
3 or fewer
*
*
Fayette County ***
*
3 or fewer
*
*
Fentress County ***
*
3 or fewer
*
*
Franklin County ***
*
3 or fewer
*
*
Gibson County ***
*
3 or fewer
*
*
Giles County ***
*
3 or fewer
*
*
Grainger County ***
*
3 or fewer
*
*
Grundy County ***
*
3 or fewer
*
*
Hamblen County ***
*
3 or fewer
*
*
Hancock County ***
*
3 or fewer
*
*
Hardeman County ***
*
3 or fewer
*
*
Hardin County ***
*
3 or fewer
*
*
Haywood County ***
*
3 or fewer
*
*
Henderson County ***
*
3 or fewer
*
*
Henry County ***
*
3 or fewer
*
*
Hickman County ***
*
3 or fewer
*
*
Houston County ***
*
3 or fewer
*
*
Humphreys County ***
*
3 or fewer
*
*
Jackson County ***
*
3 or fewer
*
*
Jefferson County ***
*
3 or fewer
*
*
Johnson County ***
*
3 or fewer
*
*
Lake County ***
*
3 or fewer
*
*
Lauderdale County ***
*
3 or fewer
*
*
Lawrence County ***
*
3 or fewer
*
*
Lewis County ***
*
3 or fewer
*
*
Lincoln County ***
*
3 or fewer
*
*
Loudon County ***
*
3 or fewer
*
*
Macon County ***
*
3 or fewer
*
*
Marion County ***
*
3 or fewer
*
*
Marshall County ***
*
3 or fewer
*
*
McMinn County ***
*
3 or fewer
*
*
McNairy County ***
*
3 or fewer
*
*
Meigs County ***
*
3 or fewer
*
*
Monroe County ***
*
3 or fewer
*
*
Moore County ***
*
3 or fewer
*
*
Morgan County ***
*
3 or fewer
*
*
Obion County ***
*
3 or fewer
*
*
Overton County ***
*
3 or fewer
*
*
Perry County ***
*
3 or fewer
*
*
Pickett County ***
*
3 or fewer
*
*
Polk County ***
*
3 or fewer
*
*
Rhea County ***
*
3 or fewer
*
*
Roane County ***
*
3 or fewer
*
*
Robertson County ***
*
3 or fewer
*
*
Scott County ***
*
3 or fewer
*
*
Sequatchie County ***
*
3 or fewer
*
*
Smith County ***
*
3 or fewer
*
*
Stewart County ***
*
3 or fewer
*
*
Trousdale County ***
*
3 or fewer
*
*
Unicoi County ***
*
3 or fewer
*
*
Union County ***
*
3 or fewer
*
*
Van Buren County ***
*
3 or fewer
*
*
Warren County ***
*
3 or fewer
*
*
Wayne County ***
*
3 or fewer
*
*
Weakley County ***
*
3 or fewer
*
*
White County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/24/2019 8:14 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.

Return to Top