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 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 05/19/2024 10:33 am. 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. |