Mortality > Table
Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising and above |
Priority 2: rising and similar |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above Cannon County Carroll County Chester County Crockett County Decatur County Dyer County Fentress County Grundy County Hancock County Hickman County Houston County Johnson County Lake County Overton County Pickett County Stewart County Unicoi County Van Buren County Wayne County |
Priority 6: stable and similar Hamilton County Meigs County Moore County Sequatchie County Trousdale County |
Priority 7: stable and below |
Falling Trend |
Priority 5: falling and above Anderson County Bedford County Benton County Bradley County Campbell County Carter County Cheatham County Claiborne County Clay County Cocke County Coffee County DeKalb County Dickson County Gibson County Giles County Grainger County Greene County Hamblen County Hawkins County Haywood County Henderson County Henry County Humphreys County Jackson County Jefferson County Lauderdale County Lawrence County Lewis County Lincoln County Macon County Madison County Marion County Marshall County Maury County McMinn County McNairy County Monroe County Montgomery County Morgan County Obion County Polk County Putnam County Rhea County Robertson County Rutherford County Scott County Sevier County Shelby County Smith County Sullivan County Sumner County Tipton County Union County Warren County Washington County Weakley County White County |
Priority 8: falling and similar Blount County Cumberland County Davidson County Fayette County Franklin County Hardeman County Hardin County Knox County Loudon County Perry County Roane County Wilson County |
Priority 9: falling and below Bledsoe County Williamson County |
Notes: Created by statecancerprofiles.cancer.gov on 09/07/2024 1:28 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 5.1. 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. |