Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising ![]() ![]() Carlisle County |
Priority 2: rising ![]() ![]() |
Priority 3: rising ![]() ![]() |
Stable Trend |
Priority 4: stable ![]() ![]() Adair County Allen County Anderson County Breathitt County Butler County Calloway County Carroll County Casey County Clay County Clinton County Crittenden County Cumberland County Estill County Fleming County Fulton County Gallatin County Garrard County Grayson County Green County Hancock County Harrison County Henry County Jackson County Johnson County Knott County Knox County Larue County Lawrence County Lee County Leslie County Lewis County Livingston County Magoffin County Marshall County Martin County Mason County Menifee County Metcalfe County Monroe County Morgan County Nelson County Nicholas County Owsley County Perry County Powell County Rockcastle County Rowan County Russell County Taylor County Todd County Trimble County Union County Washington County Webster County Whitley County Wolfe County |
Priority 6: stable ![]() ![]() Bracken County Hickman County |
Priority 7: stable ![]() ![]() |
Falling Trend |
Priority 5: falling ![]() ![]() Barren County Bath County Bell County Bourbon County Boyd County Boyle County Breckinridge County Campbell County Carter County Christian County Clark County Daviess County Floyd County Franklin County Grant County Graves County Greenup County Hardin County Harlan County Hart County Henderson County Hopkins County Jefferson County Kenton County Laurel County Letcher County Lincoln County Logan County Madison County McCracken County McCreary County McLean County Meade County Mercer County Montgomery County Muhlenberg County Ohio County Pendleton County Pike County Pulaski County Simpson County Trigg County Warren County Wayne County |
Priority 8: falling ![]() ![]() Ballard County Boone County Bullitt County Caldwell County Edmonson County Elliott County Fayette County Jessamine County Lyon County Marion County Oldham County Owen County Scott County Shelby County Spencer County Woodford County |
Priority 9: falling ![]() ![]() Robertson County |
Notes: Created by statecancerprofiles.cancer.gov on 03/16/2025 6:19 pm. Trend2 Rising ![]() Stable ![]() Falling ![]() Rate Comparison Above ![]() Similar ![]() Below ![]() 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 5.3.0. 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. |