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Death Rates Table

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Death Rate Report for Tennessee by County

Prostate, 2012-2016

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 21.8?
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
Tennessee Yes 19.8 (19.1, 20.6) 585 stable stable trend 0.4 (-3.3, 4.2)
United States Yes 19.2 (19.1, 19.3) 28,497 stable stable trend -0.8 (-2.1, 0.5)
Shelby County No 30.4 (27.7, 33.3) 99 falling falling trend -2.1 (-2.6, -1.6)
Scott County No 29.7 (17.2, 48.0) 4
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Johnson County No 29.4 (16.7, 48.6) 3
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Dyer County No 28.8 (18.4, 42.8) 5 stable stable trend -2.4 (-4.9, 0.3)
Coffee County No 25.8 (18.0, 35.9) 7 stable stable trend -1.5 (-4.0, 1.0)
White County No 25.7 (15.3, 40.8) 4 stable stable trend -2.2 (-4.7, 0.4)
Putnam County No 25.1 (18.2, 33.9) 9 stable stable trend -1.6 (-3.4, 0.2)
Carroll County No 25.1 (15.1, 39.4) 4
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Franklin County No 24.6 (16.2, 36.0) 6 falling falling trend -3.0 (-4.5, -1.5)
Lincoln County No 24.6 (14.8, 38.4) 4 falling falling trend -3.3 (-6.1, -0.4)
Weakley County No 24.5 (15.2, 37.6) 4
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Cocke County No 24.5 (15.3, 37.2) 5
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Monroe County No 23.8 (15.2, 35.3) 5
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Campbell County No 23.8 (15.5, 35.0) 6 stable stable trend -1.3 (-3.5, 0.8)
McMinn County No 23.5 (16.2, 33.1) 7 stable stable trend -1.2 (-3.1, 0.7)
Dickson County No 23.2 (15.2, 34.0) 6 falling falling trend -2.4 (-4.3, -0.4)
Gibson County No 23.2 (15.6, 33.1) 6 falling falling trend -2.1 (-3.5, -0.6)
Madison County No 22.0 (16.4, 29.1) 11 falling falling trend -3.0 (-4.0, -1.9)
Obion County No 22.0 (12.6, 35.6) 4 stable stable trend -0.9 (-3.3, 1.6)
Maury County No 21.8 (15.3, 30.1) 8 falling falling trend -2.4 (-3.9, -0.8)
Sevier County Yes 21.7 (15.9, 28.8) 10 falling falling trend -2.6 (-4.1, -1.1)
Hamilton County Yes 21.5 (18.5, 25.0) 37 falling falling trend -3.2 (-4.0, -2.3)
Bedford County Yes 21.0 (12.4, 32.8) 4
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Davidson County Yes 20.9 (18.2, 23.8) 48 falling falling trend -3.5 (-4.1, -2.9)
Rutherford County Yes 18.9 (14.8, 23.8) 16 falling falling trend -3.2 (-4.9, -1.5)
Lawrence County Yes 18.6 (11.3, 28.8) 4 falling falling trend -3.2 (-5.9, -0.4)
Bradley County Yes 18.6 (13.4, 25.0) 9 falling falling trend -3.2 (-5.1, -1.3)
Hamblen County Yes 18.5 (12.3, 26.7) 6 falling falling trend -3.4 (-5.2, -1.5)
Loudon County Yes 18.1 (12.1, 26.2) 6 falling falling trend -4.8 (-7.4, -2.2)
Tipton County Yes 18.0 (10.9, 27.8) 4 falling falling trend -4.8 (-7.2, -2.3)
Greene County Yes 18.0 (12.5, 25.2) 8 stable stable trend -2.0 (-4.2, 0.2)
Robertson County Yes 18.0 (11.2, 27.0) 5
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Washington County Yes 17.8 (13.3, 23.2) 11 falling falling trend -3.0 (-4.6, -1.3)
Knox County Yes 17.7 (15.2, 20.6) 35 falling falling trend -3.3 (-4.1, -2.4)
Montgomery County Yes 17.1 (12.2, 23.1) 9 falling falling trend -2.7 (-4.4, -1.0)
Fayette County Yes 16.6 (9.4, 27.0) 3 falling falling trend -4.6 (-7.1, -2.1)
Hawkins County Yes 16.3 (10.4, 24.6) 5 falling falling trend -2.9 (-5.4, -0.2)
Williamson County Yes 16.3 (12.3, 21.1) 12 falling falling trend -3.4 (-5.0, -1.7)
Sullivan County Yes 15.9 (12.5, 20.1) 15 falling falling trend -3.8 (-5.1, -2.4)
Cumberland County Yes 15.9 (11.4, 22.1) 8 falling falling trend -4.6 (-6.3, -3.0)
Henry County Yes 15.7 (8.8, 26.3) 3 falling falling trend -3.1 (-5.8, -0.3)
Carter County Yes 15.7 (10.2, 23.2) 5 falling falling trend -3.3 (-4.9, -1.6)
Wilson County Yes 15.3 (10.7, 21.2) 8 falling falling trend -4.2 (-6.2, -2.1)
Roane County Yes 14.1 (9.0, 21.5) 5 falling falling trend -3.7 (-6.2, -1.1)
Sumner County Yes 13.0 (9.5, 17.4) 9 stable stable trend 5.5 (-17.2, 34.3)
Anderson County Yes 12.8 (8.6, 18.5) 6 falling falling trend -4.6 (-6.1, -3.1)
Jefferson County Yes 11.9 (6.9, 19.4) 4 stable stable trend -2.7 (-5.8, 0.5)
Blount County Yes 10.8 (7.6, 15.0) 8 stable stable trend 26.4 (-3.0, 64.8)
Benton County ***
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3 or fewer
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Bledsoe County ***
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3 or fewer
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Cannon County ***
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3 or fewer
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Cheatham County ***
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3 or fewer
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Chester County ***
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3 or fewer
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Claiborne County ***
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3 or fewer
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Clay County ***
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3 or fewer
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Crockett County ***
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3 or fewer
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DeKalb County ***
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3 or fewer
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Decatur County ***
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3 or fewer
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Fentress County ***
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3 or fewer
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Giles County ***
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3 or fewer
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Grainger County ***
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3 or fewer
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Grundy County ***
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3 or fewer
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Hancock County ***
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3 or fewer
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Hardeman County ***
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3 or fewer
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Hardin County ***
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3 or fewer
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Haywood County ***
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3 or fewer
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Henderson County ***
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3 or fewer
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Hickman County ***
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3 or fewer
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Houston County ***
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3 or fewer
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Humphreys County ***
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3 or fewer
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Jackson County ***
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3 or fewer
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Lake County ***
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3 or fewer
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Lauderdale County ***
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3 or fewer
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Lewis County ***
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3 or fewer
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Macon County ***
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3 or fewer
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Marion County ***
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3 or fewer
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Marshall County ***
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3 or fewer
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McNairy County ***
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3 or fewer
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Meigs County ***
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3 or fewer
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Moore County ***
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3 or fewer
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Morgan County ***
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3 or fewer
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Overton County ***
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3 or fewer
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Perry County ***
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3 or fewer
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Pickett County ***
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3 or fewer
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Polk County ***
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3 or fewer
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Rhea County ***
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3 or fewer
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Sequatchie County ***
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3 or fewer
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Smith County ***
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3 or fewer
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Stewart County ***
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3 or fewer
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Trousdale County ***
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3 or fewer
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Unicoi County ***
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3 or fewer
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Union County ***
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3 or fewer
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Van Buren County ***
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3 or fewer
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Warren County ***
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3 or fewer
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Wayne County ***
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3 or fewer
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Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 6:48 am.

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 data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2016 US Population Data File is used with 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.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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 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 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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