Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above McNairy County Montgomery County |
Priority 2: rising and similar  Gibson County Putnam County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above Obion County |
Priority 6: stable and similar Anderson County Bradley County Campbell County Carroll County Carter County Coffee County Cumberland County Davidson County Dyer County Franklin County Hamblen County Hamilton County Hardeman County Hawkins County Henderson County Henry County Jefferson County Knox County Lauderdale County Lincoln County Loudon County Madison County Marshall County Maury County McMinn County Monroe County Rhea County Roane County Robertson County Sevier County Shelby County Sullivan County Sumner County Warren County Weakley County Williamson County Wilson County |
Priority 7: stable and below Blount County Washington County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar Greene County Rutherford County |
Priority 9: falling and below |
| Notes: Created by statecancerprofiles.cancer.gov on 04/26/2024 1:14 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Bledsoe County, Cannon County, Chester County, Clay County, Crockett County, Decatur County, Grundy County, Hancock County, Houston County, Humphreys County, Jackson County, Lake County, Lewis County, Macon County, Meigs County, Moore County, Morgan County, Perry County, Pickett County, Sequatchie County, Stewart County, Trousdale County, Unicoi County, Van Buren County, Wayne County Trend for the following could not be reliably determined due to small number of deaths per year: Bedford County, Benton County, Cheatham County, Claiborne County, Cocke County, DeKalb County, Dickson County, Fayette County, Fentress County, Giles County, Grainger County, Hardin County, Haywood County, Hickman County, Johnson County, Lawrence County, Marion County, Overton County, Polk County, Scott County, Smith County, Tipton County, Union County, White County 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. |
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