Return to Home Mortality > Table

Rate/Trend Comparison by Cancer Table

Data Options

Death Rate/Trend Comparison by Cancer, 2016-2020

Tennessee Counties versus United States

All Cancer Sites

All Races, Female

  Above US Rate Similar to US Rate Below US Rate
Rising
Trend
Priority 1: rising and above

Benton County
Crockett County
Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Bedford County
Campbell County
Carroll County
Cheatham County
Chester County
Claiborne County
Coffee County
Dickson County
Dyer County
Gibson County
Greene County
Grundy County
Hardeman County
Hawkins County
Henderson County
Hickman County
Houston County
Johnson County
Lauderdale County
Lawrence County
Macon County
Madison County
McNairy County
Meigs County
Monroe County
Overton County
Perry County
Polk County
Putnam County
Rhea County
Roane County
Scott County
Sevier County
Smith County
Tipton County
Warren County
Washington County
Weakley County
Priority 6: stable and similar

Cannon County
Carter County
Clay County
DeKalb County
Decatur County
Fentress County
Franklin County
Giles County
Grainger County
Hancock County
Hardin County
Haywood County
Henry County
Humphreys County
Jackson County
Lake County
Lewis County
Marion County
Morgan County
Pickett County
Sequatchie County
Stewart County
Trousdale County
Unicoi County
Union County
Wayne County
White County
Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Bradley County
Maury County
Montgomery County
Shelby County
Sullivan County
Priority 8: falling and similar

Anderson County
Bledsoe County
Blount County
Cocke County
Cumberland County
Davidson County
Fayette County
Hamblen County
Hamilton County
Jefferson County
Knox County
Lincoln County
Loudon County
Marshall County
McMinn County
Moore County
Obion County
Robertson County
Rutherford County
Sumner County
Van Buren County
Wilson County
Priority 9: falling and below

Williamson County
Notes:
Created by statecancerprofiles.cancer.gov on 04/25/2024 6:02 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).


Interpret Rankings provides insight into interpreting cancer 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