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 Benton County |
Priority 2: rising and similar |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above Bedford County Blount County Bradley County Campbell County Carroll County Cheatham County Chester County Claiborne County Coffee County Crockett County Dickson County Dyer County Gibson County Grainger County Greene County Hardeman County Hawkins County Haywood County Henderson County Henry County Hickman County Humphreys County Johnson County Lauderdale County Lawrence County Macon County Madison County Marshall County McMinn County McNairy County Meigs County Monroe County Morgan County Obion County Overton County Polk County Putnam County Rhea County Sevier County Smith County Stewart County Tipton County Trousdale County Unicoi County Warren County Weakley County |
Priority 6: stable and similar Bledsoe County Cannon County Clay County Cumberland County DeKalb County Decatur County Fentress County Giles County Grundy County Hancock County Hardin County Houston County Jackson County Lake County Lewis County Lincoln County Moore County Pickett County Sequatchie County Union County Van Buren County Wayne County White County |
Priority 7: stable and below |
Falling Trend |
Priority 5: falling and above Anderson County Cocke County Hamblen County Montgomery County Robertson County Scott County Shelby County Sullivan County |
Priority 8: falling and similar Carter County Davidson County Fayette County Franklin County Hamilton County Jefferson County Knox County Loudon County Marion County Maury County Perry County Roane County Rutherford County Sumner County Washington County Wilson County |
Priority 9: falling and below Williamson County |
Notes: Created by statecancerprofiles.cancer.gov on 09/07/2024 12:47 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. |