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) |
Lincoln County | *** | 8.0 (4.9, 12.7) | 70 (14, 70) | 4 |
stable ![]() |
0.1 (-2.2, 2.5) |
Henderson County | *** | 8.2 (4.6, 13.8) | 69 (10, 70) | 3 |
stable ![]() |
-0.9 (-2.6, 0.9) |
Loudon County | *** | 8.8 (6.2, 12.3) | 68 (17, 70) | 9 |
stable ![]() |
0.8 (-0.9, 2.7) |
Hawkins County | *** | 9.0 (6.4, 12.5) | 67 (17, 70) | 8 |
stable ![]() |
0.4 (-1.2, 2.2) |
Washington County | *** | 9.0 (7.1, 11.3) | 66 (23, 70) | 16 |
stable ![]() |
0.0 (-1.2, 1.2) |
Blount County | *** | 9.0 (7.3, 11.2) | 65 (27, 70) | 18 |
stable ![]() |
-0.7 (-1.8, 0.4) |
Jefferson County | *** | 9.2 (6.4, 12.9) | 64 (13, 70) | 7 |
stable ![]() |
-1.2 (-2.9, 0.5) |
Sevier County | *** | 9.3 (7.2, 12.0) | 63 (20, 70) | 13 |
stable ![]() |
-0.1 (-1.5, 1.3) |
White County | *** | 9.4 (5.7, 15.2) | 62 (6, 70) | 4 |
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Anderson County | *** | 9.5 (7.2, 12.5) | 61 (16, 70) | 11 |
stable ![]() |
-0.6 (-2.0, 0.9) |
Williamson County | *** | 9.5 (7.8, 11.5) | 60 (25, 69) | 24 |
stable ![]() |
-0.7 (-1.8, 0.4) |
Roane County | *** | 9.5 (6.8, 13.2) | 59 (12, 70) | 9 |
stable ![]() |
0.0 (-1.5, 1.5) |
Cheatham County | *** | 9.6 (5.9, 14.7) | 58 (6, 70) | 5 |
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McMinn County | *** | 9.7 (6.9, 13.4) | 57 (12, 70) | 8 |
stable ![]() |
-0.5 (-1.8, 0.8) |
Warren County | *** | 9.7 (6.4, 14.4) | 56 (7, 70) | 5 |
stable ![]() |
1.0 (-1.2, 3.1) |
Greene County | *** | 9.8 (7.3, 13.0) | 55 (13, 70) | 11 |
falling ![]() |
-1.7 (-2.9, -0.5) |
Sullivan County | *** | 9.8 (8.1, 11.7) | 54 (22, 69) | 24 |
stable ![]() |
0.2 (-0.8, 1.2) |
Cocke County | *** | 10.0 (6.6, 14.8) | 53 (8, 70) | 6 |
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Marshall County | *** | 10.2 (6.3, 15.7) | 52 (4, 70) | 4 |
stable ![]() |
-0.6 (-2.4, 1.2) |
Weakley County | *** | 10.2 (6.5, 15.5) | 51 (5, 70) | 5 |
stable ![]() |
0.4 (-1.5, 2.4) |
Rutherford County | *** | 10.3 (8.7, 12.2) | 50 (19, 68) | 30 |
stable ![]() |
-0.8 (-1.6, 0.0) |
Carter County | *** | 10.3 (7.5, 14.0) | 49 (9, 70) | 9 |
stable ![]() |
-0.8 (-2.0, 0.3) |
Lawrence County | *** | 10.4 (7.1, 14.8) | 48 (6, 70) | 7 |
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Bradley County | *** | 10.4 (8.1, 13.2) | 47 (13, 69) | 15 |
stable ![]() |
0.3 (-1.0, 1.6) |
Wilson County | *** | 10.7 (8.5, 13.2) | 46 (12, 68) | 18 |
stable ![]() |
0.2 (-1.0, 1.4) |
Maury County | *** | 10.8 (8.3, 13.9) | 45 (9, 69) | 13 |
stable ![]() |
-0.1 (-1.4, 1.3) |
Hamilton County | *** | 10.8 (9.5, 12.2) | 44 (20, 62) | 53 |
stable ![]() |
-0.2 (-0.8, 0.4) |
Campbell County | *** | 10.8 (7.4, 15.6) | 43 (4, 70) | 7 |
stable ![]() |
0.8 (-0.9, 2.5) |
Cumberland County | *** | 11.0 (8.5, 14.3) | 42 (9, 69) | 14 |
stable ![]() |
-0.5 (-2.0, 1.1) |
Robertson County | *** | 11.2 (8.2, 15.1) | 41 (5, 70) | 9 |
stable ![]() |
-0.4 (-2.0, 1.2) |
Shelby County | *** | 11.3 (10.3, 12.3) | 40 (20, 53) | 112 |
stable ![]() |
0.0 (-0.8, 0.8) |
Sumner County | *** | 11.3 (9.4, 13.5) | 39 (11, 66) | 26 |
stable ![]() |
0.8 (-0.2, 1.9) |
Fayette County | *** | 11.3 (7.8, 16.2) | 38 (3, 70) | 7 |
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Hardin County | *** | 11.4 (7.4, 17.3) | 37 (2, 70) | 5 |
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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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Davidson County | *** | 11.7 (10.5, 12.9) | 34 (15, 53) | 79 |
stable ![]() |
0.2 (-0.2, 0.7) |
Dyer County | *** | 11.9 (7.7, 17.5) | 33 (2, 70) | 5 |
stable ![]() |
-0.8 (-2.4, 0.8) |
Knox County | *** | 11.9 (10.7, 13.3) | 32 (13, 51) | 67 |
stable ![]() |
0.5 (-0.1, 1.1) |
Grainger County | *** | 12.0 (7.4, 18.9) | 31 (2, 70) | 4 |
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Giles County | *** | 12.0 (7.6, 18.4) | 30 (2, 70) | 5 |
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Hamblen County | *** | 12.1 (9.0, 15.9) | 29 (4, 68) | 10 |
stable ![]() |
-0.3 (-2.0, 1.4) |
Claiborne County | *** | 12.1 (7.8, 18.1) | 28 (2, 70) | 5 |
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Madison County | *** | 12.1 (9.4, 15.2) | 27 (5, 65) | 15 |
stable ![]() |
0.1 (-1.0, 1.2) |
Henry County | *** | 12.2 (8.5, 17.5) | 26 (2, 70) | 7 |
stable ![]() |
0.7 (-1.0, 2.3) |
Coffee County | *** | 12.3 (8.9, 16.7) | 25 (3, 68) | 9 |
stable ![]() |
0.5 (-1.1, 2.3) |
Dickson County | *** | 12.4 (8.8, 17.0) | 24 (3, 69) | 8 |
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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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Marion County | *** | 12.7 (8.3, 19.1) | 21 (1, 70) | 5 |
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Tipton County | *** | 12.8 (9.2, 17.3) | 20 (2, 69) | 9 |
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Carroll County | *** | 12.9 (8.6, 19.0) | 19 (1, 70) | 6 |
stable ![]() |
0.7 (-0.8, 2.2) |
Gibson County | *** | 13.3 (9.6, 18.1) | 18 (2, 67) | 9 |
rising ![]() |
3.0 (0.9, 5.0) |
Hickman County | *** | 13.4 (8.2, 20.9) | 17 (1, 70) | 4 |
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Haywood County | *** | 13.6 (7.8, 22.5) | 16 (1, 70) | 3 |
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Franklin County | *** | 13.6 (9.7, 18.7) | 15 (1, 68) | 8 |
stable ![]() |
0.0 (-1.5, 1.5) |
Overton County | *** | 13.7 (8.4, 21.6) | 14 (1, 70) | 4 |
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Putnam County | *** | 13.8 (10.7, 17.6) | 13 (2, 59) | 13 |
rising ![]() |
1.5 (0.1, 2.9) |
Bedford County | *** | 13.8 (9.7, 19.0) | 12 (1, 67) | 8 |
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Hardeman County | *** | 14.2 (9.0, 21.6) | 11 (1, 70) | 5 |
stable ![]() |
0.0 (-2.0, 2.0) |
Fentress County | *** | 14.2 (8.5, 23.0) | 10 (1, 70) | 4 |
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DeKalb County | *** | 14.3 (8.5, 23.0) | 9 (1, 70) | 4 |
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Monroe County | *** | 14.6 (10.7, 19.5) | 8 (1, 60) | 10 |
stable ![]() |
0.0 (-1.9, 1.8) |
Montgomery County | *** | 15.4 (12.6, 18.5) | 7 (1, 38) | 24 |
rising ![]() |
2.9 (1.1, 4.8) |
Rhea County | *** | 15.5 (10.8, 21.8) | 6 (1, 64) | 7 |
stable ![]() |
1.1 (-1.0, 3.2) |
Smith County | *** | 15.7 (9.5, 24.6) | 5 (1, 70) | 4 |
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Polk County | *** | 15.9 (9.7, 25.3) | 4 (1, 69) | 4 |
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Obion County | *** | 17.6 (12.4, 24.4) | 3 (1, 52) | 8 |
stable ![]() |
0.8 (-0.8, 2.4) |
McNairy County | *** | 19.4 (13.7, 27.2) | 2 (1, 43) | 8 |
rising ![]() |
1.9 (0.2, 3.6) |
Johnson County | *** | 20.1 (13.3, 29.9) | 1 (1, 55) | 6 |
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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 03/24/2023 8:27 am.
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 03/24/2023 8:27 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.
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.