Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising ![]() ![]() |
Priority 2: rising ![]() ![]() |
Priority 3: rising ![]() ![]() |
Stable Trend |
Priority 4: stable ![]() ![]() Anderson County Bath County Breathitt County Carlisle County Carroll County Casey County Clay County Cumberland County Estill County Fleming County Floyd County Fulton County Grayson County Harlan County Harrison County Hart County Henry County Jackson County Larue County Laurel County Lawrence County Lee County Leslie County Letcher County Lewis County Livingston County Magoffin County Marion County Marshall County McLean County Menifee County Monroe County Morgan County Nicholas County Owsley County Perry County Powell County Rowan County Russell County Simpson County Taylor County Union County Washington County Wayne County Whitley County Wolfe County |
Priority 6: stable ![]() ![]() Bourbon County Clinton County Garrard County Green County Hancock County Hickman County Knott County Metcalfe County Robertson County Trimble County |
Priority 7: stable ![]() ![]() |
Falling Trend |
Priority 5: falling ![]() ![]() Barren County Bell County Boyd County Boyle County Breckinridge County Campbell County Carter County Christian County Clark County Daviess County Franklin County Gallatin County Grant County Graves County Greenup County Hardin County Henderson County Hopkins County Jefferson County Jessamine County Johnson County Kenton County Knox County Lincoln County Logan County Madison County Mason County McCracken County McCreary County Meade County Mercer County Montgomery County Muhlenberg County Nelson County Ohio County Pike County Pulaski County Rockcastle County Shelby County Warren County Webster County |
Priority 8: falling ![]() ![]() Adair County Allen County Ballard County Boone County Bracken County Bullitt County Butler County Caldwell County Calloway County Crittenden County Edmonson County Elliott County Fayette County Lyon County Martin County Oldham County Owen County Pendleton County Scott County Spencer County Todd County Trigg County Woodford County |
Priority 9: falling ![]() ![]() |
Notes: Created by statecancerprofiles.cancer.gov on 01/19/2021 11:09 am. 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 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 1969-2017 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. |