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 ![]() ![]() Forsyth County Rowan County |
Priority 6: stable ![]() ![]() Brunswick County Catawba County Dare County Guilford County Henderson County Person County |
Priority 7: stable ![]() ![]() |
Falling Trend |
Priority 5: falling ![]() ![]() Edgecombe County Halifax County Robeson County Wayne County |
Priority 8: falling ![]() ![]() Alamance County Ashe County Beaufort County Bladen County Burke County Caldwell County Carteret County Caswell County Chatham County Cleveland County Columbus County Craven County Cumberland County Davidson County Davie County Duplin County Durham County Franklin County Gaston County Granville County Harnett County Haywood County Hertford County Hoke County Iredell County Johnston County Lee County Lenoir County Lincoln County Martin County McDowell County Mecklenburg County Moore County Nash County New Hanover County Onslow County Orange County Pasquotank County Pender County Pitt County Randolph County Richmond County Rockingham County Rutherford County Sampson County Stokes County Surry County Transylvania County Union County Vance County Wake County Wilkes County Wilson County |
Priority 9: falling ![]() ![]() Buncombe County Cabarrus County Stanly County |
Notes: Created by statecancerprofiles.cancer.gov on 07/02/2025 2:03 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, Avery County, Camden County, Clay County, Currituck County, Gates County, Graham County, Greene County, Hyde County, Jackson County, Jones County, Madison County, Mitchell County, Pamlico County, Perquimans County, Scotland County, Swain County, Tyrrell County, Washington County Trend for the following could not be reliably determined due to small number of deaths per year: Alexander County, Anson County, Bertie County, Cherokee County, Chowan County, Macon County, Montgomery County, Northampton County, Polk County, Warren County, Watauga County, Yadkin County, Yancey 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. |