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 Benton County Cannon County Carroll County Chester County Clay County Crockett County DeKalb County Decatur County Dyer County Gibson County Grundy County Hancock County Hardeman County Hawkins County Henderson County Hickman County Houston County Jackson County Johnson County Lake County McNairy County Meigs County Morgan County Overton County Putnam County Smith County Stewart County Sumner County Trousdale County Unicoi County Van Buren County Warren County Wayne County Weakley County |
Priority 6: stable and similar Hardin County Moore County Pickett County |
Priority 7: stable and below Williamson County |
Falling Trend |
Priority 5: falling and above Anderson County Bedford County Bradley County Campbell County Cheatham County Claiborne County Cocke County Coffee County Dickson County Fentress County Giles County Grainger County Greene County Hamblen County Haywood County Henry County Humphreys County Jefferson County Lauderdale County Lawrence County Lewis County Lincoln County Macon County Madison County Marion County Marshall County McMinn County Monroe County Montgomery County Obion County Polk County Rhea County Robertson County Rutherford County Scott County Sevier County Shelby County Sullivan County Tipton County Union County Washington County White County |
Priority 8: falling and similar Bledsoe County Blount County Carter County Cumberland County Davidson County Fayette County Franklin County Hamilton County Knox County Loudon County Maury County Perry County Roane County Sequatchie County Wilson County |
Priority 9: falling and below |
Notes: Created by statecancerprofiles.cancer.gov on 11/09/2024 2:38 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. |