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 ![]() ![]() Anson County Columbus County Granville County Richmond County Robeson County Vance County Washington County Wayne County |
Priority 6: stable ![]() ![]() Alexander County Ashe County Buncombe County Caswell County Cherokee County Cleveland County Dare County Duplin County Haywood County Jackson County Lee County Macon County Madison County McDowell County Perquimans County Rutherford County Scotland County Stanly County Stokes County Surry County Swain County Warren County Wilson County Yancey County |
Priority 7: stable ![]() ![]() New Hanover County |
Falling Trend |
Priority 5: falling ![]() ![]() Onslow County |
Priority 8: falling ![]() ![]() Alamance County Beaufort County Bertie County Bladen County Brunswick County Burke County Cabarrus County Caldwell County Carteret County Catawba County Chowan County Craven County Cumberland County Davidson County Davie County Durham County Edgecombe County Forsyth County Franklin County Gaston County Guilford County Halifax County Harnett County Henderson County Hertford County Hoke County Iredell County Johnston County Lenoir County Lincoln County Martin County Mitchell County Montgomery County Moore County Northampton County Pasquotank County Pender County Person County Pitt County Randolph County Rockingham County Rowan County Sampson County Wilkes County |
Priority 9: falling ![]() ![]() Chatham County Mecklenburg County Nash County Orange County Transylvania County Union County Wake County Yadkin County |
Notes: Created by statecancerprofiles.cancer.gov on 07/05/2025 10:00 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Alleghany County, Avery County, Camden County, Clay County, Gates County, Graham County, Hyde County, Jones County, Pamlico County, Tyrrell County Trend for the following could not be reliably determined due to small number of deaths per year: Currituck County, Greene County, Polk County, Watauga 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. |