Death Rates Table
County![]() |
Met Healthy People Objective of ***? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) ![]() |
CI*Rank⋔ (95% Confidence Interval) ![]() |
Average Annual Count![]() |
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval) ![]() |
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Tennessee | *** | 11.2 (10.8, 11.5) | N/A | 949 |
stable ![]() |
0.1 (0.0, 0.2) |
United States | *** | 11.1 (11.0, 11.1) | N/A | 44,868 |
stable ![]() |
0.1 (0.0, 0.2) |
Shelby County | *** | 11.3 (10.3, 12.3) | 40 (20, 53) | 112 |
stable ![]() |
0.0 (-0.8, 0.8) |
Davidson County | *** | 11.7 (10.5, 12.9) | 34 (15, 53) | 79 |
stable ![]() |
0.2 (-0.2, 0.7) |
Knox County | *** | 11.9 (10.7, 13.3) | 32 (13, 51) | 67 |
stable ![]() |
0.5 (-0.1, 1.1) |
Hamilton County | *** | 10.8 (9.5, 12.2) | 44 (20, 62) | 53 |
stable ![]() |
-0.2 (-0.8, 0.4) |
Rutherford County | *** | 10.3 (8.7, 12.2) | 50 (19, 68) | 30 |
stable ![]() |
-0.8 (-1.6, 0.0) |
Sumner County | *** | 11.3 (9.4, 13.5) | 39 (11, 66) | 26 |
stable ![]() |
0.8 (-0.2, 1.9) |
Sullivan County | *** | 9.8 (8.1, 11.7) | 54 (22, 69) | 24 |
stable ![]() |
0.2 (-0.8, 1.2) |
Montgomery County | *** | 15.4 (12.6, 18.5) | 7 (1, 38) | 24 |
rising ![]() |
2.9 (1.1, 4.8) |
Williamson County | *** | 9.5 (7.8, 11.5) | 60 (25, 69) | 24 |
stable ![]() |
-0.7 (-1.8, 0.4) |
Blount County | *** | 9.0 (7.3, 11.2) | 65 (27, 70) | 18 |
stable ![]() |
-0.7 (-1.8, 0.4) |
Wilson County | *** | 10.7 (8.5, 13.2) | 46 (12, 68) | 18 |
stable ![]() |
0.2 (-1.0, 1.4) |
Washington County | *** | 9.0 (7.1, 11.3) | 66 (23, 70) | 16 |
stable ![]() |
0.0 (-1.2, 1.2) |
Madison County | *** | 12.1 (9.4, 15.2) | 27 (5, 65) | 15 |
stable ![]() |
0.1 (-1.0, 1.2) |
Bradley County | *** | 10.4 (8.1, 13.2) | 47 (13, 69) | 15 |
stable ![]() |
0.3 (-1.0, 1.6) |
Cumberland County | *** | 11.0 (8.5, 14.3) | 42 (9, 69) | 14 |
stable ![]() |
-0.5 (-2.0, 1.1) |
Putnam County | *** | 13.8 (10.7, 17.6) | 13 (2, 59) | 13 |
rising ![]() |
1.5 (0.1, 2.9) |
Sevier County | *** | 9.3 (7.2, 12.0) | 63 (20, 70) | 13 |
stable ![]() |
-0.1 (-1.5, 1.3) |
Maury County | *** | 10.8 (8.3, 13.9) | 45 (9, 69) | 13 |
stable ![]() |
-0.1 (-1.4, 1.3) |
Anderson County | *** | 9.5 (7.2, 12.5) | 61 (16, 70) | 11 |
stable ![]() |
-0.6 (-2.0, 0.9) |
Greene County | *** | 9.8 (7.3, 13.0) | 55 (13, 70) | 11 |
falling ![]() |
-1.7 (-2.9, -0.5) |
Hamblen County | *** | 12.1 (9.0, 15.9) | 29 (4, 68) | 10 |
stable ![]() |
-0.3 (-2.0, 1.4) |
Monroe County | *** | 14.6 (10.7, 19.5) | 8 (1, 60) | 10 |
stable ![]() |
0.0 (-1.9, 1.8) |
Carter County | *** | 10.3 (7.5, 14.0) | 49 (9, 70) | 9 |
stable ![]() |
-0.8 (-2.0, 0.3) |
Robertson County | *** | 11.2 (8.2, 15.1) | 41 (5, 70) | 9 |
stable ![]() |
-0.4 (-2.0, 1.2) |
Coffee County | *** | 12.3 (8.9, 16.7) | 25 (3, 68) | 9 |
stable ![]() |
0.5 (-1.1, 2.3) |
Gibson County | *** | 13.3 (9.6, 18.1) | 18 (2, 67) | 9 |
rising ![]() |
3.0 (0.9, 5.0) |
Loudon County | *** | 8.8 (6.2, 12.3) | 68 (17, 70) | 9 |
stable ![]() |
0.8 (-0.9, 2.7) |
Roane County | *** | 9.5 (6.8, 13.2) | 59 (12, 70) | 9 |
stable ![]() |
0.0 (-1.5, 1.5) |
Tipton County | *** | 12.8 (9.2, 17.3) | 20 (2, 69) | 9 |
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Dickson County | *** | 12.4 (8.8, 17.0) | 24 (3, 69) | 8 |
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Franklin County | *** | 13.6 (9.7, 18.7) | 15 (1, 68) | 8 |
stable ![]() |
0.0 (-1.5, 1.5) |
Hawkins County | *** | 9.0 (6.4, 12.5) | 67 (17, 70) | 8 |
stable ![]() |
0.4 (-1.2, 2.2) |
McMinn County | *** | 9.7 (6.9, 13.4) | 57 (12, 70) | 8 |
stable ![]() |
-0.5 (-1.8, 0.8) |
Obion County | *** | 17.6 (12.4, 24.4) | 3 (1, 52) | 8 |
stable ![]() |
0.8 (-0.8, 2.4) |
Bedford County | *** | 13.8 (9.7, 19.0) | 12 (1, 67) | 8 |
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McNairy County | *** | 19.4 (13.7, 27.2) | 2 (1, 43) | 8 |
rising ![]() |
1.9 (0.2, 3.6) |
Jefferson County | *** | 9.2 (6.4, 12.9) | 64 (13, 70) | 7 |
stable ![]() |
-1.2 (-2.9, 0.5) |
Rhea County | *** | 15.5 (10.8, 21.8) | 6 (1, 64) | 7 |
stable ![]() |
1.1 (-1.0, 3.2) |
Fayette County | *** | 11.3 (7.8, 16.2) | 38 (3, 70) | 7 |
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Henry County | *** | 12.2 (8.5, 17.5) | 26 (2, 70) | 7 |
stable ![]() |
0.7 (-1.0, 2.3) |
Campbell County | *** | 10.8 (7.4, 15.6) | 43 (4, 70) | 7 |
stable ![]() |
0.8 (-0.9, 2.5) |
Lawrence County | *** | 10.4 (7.1, 14.8) | 48 (6, 70) | 7 |
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Carroll County | *** | 12.9 (8.6, 19.0) | 19 (1, 70) | 6 |
stable ![]() |
0.7 (-0.8, 2.2) |
Cocke County | *** | 10.0 (6.6, 14.8) | 53 (8, 70) | 6 |
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Johnson County | *** | 20.1 (13.3, 29.9) | 1 (1, 55) | 6 |
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Claiborne County | *** | 12.1 (7.8, 18.1) | 28 (2, 70) | 5 |
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Dyer County | *** | 11.9 (7.7, 17.5) | 33 (2, 70) | 5 |
stable ![]() |
-0.8 (-2.4, 0.8) |
Warren County | *** | 9.7 (6.4, 14.4) | 56 (7, 70) | 5 |
stable ![]() |
1.0 (-1.2, 3.1) |
Hardin County | *** | 11.4 (7.4, 17.3) | 37 (2, 70) | 5 |
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Marion County | *** | 12.7 (8.3, 19.1) | 21 (1, 70) | 5 |
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Giles County | *** | 12.0 (7.6, 18.4) | 30 (2, 70) | 5 |
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Hardeman County | *** | 14.2 (9.0, 21.6) | 11 (1, 70) | 5 |
stable ![]() |
0.0 (-2.0, 2.0) |
Weakley County | *** | 10.2 (6.5, 15.5) | 51 (5, 70) | 5 |
stable ![]() |
0.4 (-1.5, 2.4) |
Cheatham County | *** | 9.6 (5.9, 14.7) | 58 (6, 70) | 5 |
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Grainger County | *** | 12.0 (7.4, 18.9) | 31 (2, 70) | 4 |
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Marshall County | *** | 10.2 (6.3, 15.7) | 52 (4, 70) | 4 |
stable ![]() |
-0.6 (-2.4, 1.2) |
Hickman County | *** | 13.4 (8.2, 20.9) | 17 (1, 70) | 4 |
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Lincoln County | *** | 8.0 (4.9, 12.7) | 70 (14, 70) | 4 |
stable ![]() |
0.1 (-2.2, 2.5) |
Overton County | *** | 13.7 (8.4, 21.6) | 14 (1, 70) | 4 |
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Polk County | *** | 15.9 (9.7, 25.3) | 4 (1, 69) | 4 |
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Smith County | *** | 15.7 (9.5, 24.6) | 5 (1, 70) | 4 |
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Fentress County | *** | 14.2 (8.5, 23.0) | 10 (1, 70) | 4 |
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Lauderdale County | *** | 12.5 (7.5, 19.6) | 23 (1, 70) | 4 |
stable ![]() |
1.0 (-0.8, 2.8) |
Benton County | *** | 12.7 (7.6, 21.0) | 22 (1, 70) | 4 |
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DeKalb County | *** | 14.3 (8.5, 23.0) | 9 (1, 70) | 4 |
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White County | *** | 9.4 (5.7, 15.2) | 62 (6, 70) | 4 |
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Haywood County | *** | 13.6 (7.8, 22.5) | 16 (1, 70) | 3 |
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Henderson County | *** | 8.2 (4.6, 13.8) | 69 (10, 70) | 3 |
stable ![]() |
-0.9 (-2.6, 0.9) |
Scott County | *** | 11.4 (6.5, 18.9) | 36 (1, 70) | 3 |
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Union County | *** | 11.5 (6.5, 19.5) | 35 (1, 70) | 3 |
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Bledsoe County | *** |
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Cannon County | *** |
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Chester County | *** |
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Clay County | *** |
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Crockett County | *** |
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Decatur County | *** |
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Grundy County | *** |
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Hancock County | *** |
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Houston County | *** |
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Humphreys County | *** |
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Jackson County | *** |
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Lake County | *** |
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Lewis County | *** |
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Macon County | *** |
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Meigs County | *** |
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Moore County | *** |
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Morgan County | *** |
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Perry County | *** |
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Pickett County | *** |
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Sequatchie County | *** |
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Stewart County | *** |
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Trousdale County | *** |
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Unicoi County | *** |
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Van Buren County | *** |
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Wayne County | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 09/26/2023 3:50 pm.
State Cancer Registries may provide more current or more local data.
† 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 2030 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 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
*** No Healthy People 2030 Objective for this cancer.
Healthy People 2030 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 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.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.
Created by statecancerprofiles.cancer.gov on 09/26/2023 3:50 pm.
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.
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 2030 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 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
*** No Healthy People 2030 Objective for this cancer.
Healthy People 2030 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 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.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.