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 ![]() ![]() Alamance County Wayne County |
Priority 6: stable ![]() ![]() Brunswick County Caldwell County Cleveland County Columbus County Granville County Lee County Lenoir County Moore County New Hanover County Onslow County Robeson County Rutherford County Stanly County Stokes County Surry County |
Priority 7: stable ![]() ![]() Iredell County |
Falling Trend |
Priority 5: falling ![]() ![]() |
Priority 8: falling ![]() ![]() Buncombe County Burke County Cabarrus County Carteret County Catawba County Chatham County Craven County Cumberland County Davidson County Forsyth County Gaston County Guilford County Harnett County Haywood County Henderson County Johnston County Mecklenburg County Nash County Orange County Pitt County Randolph County Rockingham County Rowan County Union County Wilkes County Wilson County |
Priority 9: falling ![]() ![]() Durham County Wake County |
Notes: Created by statecancerprofiles.cancer.gov on 07/08/2025 6:53 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 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Alleghany County, Anson County, Ashe County, Avery County, Bertie County, Camden County, Caswell County, Cherokee County, Chowan County, Clay County, Currituck County, Dare County, Gates County, Graham County, Greene County, Hertford County, Hoke County, Hyde County, Jackson County, Jones County, Madison County, Martin County, Mitchell County, Montgomery County, Northampton County, Pamlico County, Pasquotank County, Perquimans County, Person County, Polk County, Richmond County, Scotland County, Swain County, Transylvania County, Tyrrell County, Warren County, Washington County, Watauga County, Yadkin County, Yancey County Trend for the following could not be reliably determined due to small number of deaths per year: Alexander County, Beaufort County, Bladen County, Davie County, Duplin County, Edgecombe County, Franklin County, Halifax County, Lincoln County, Macon County, McDowell County, Pender County, Sampson County, Vance 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. |