Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising ![]() ![]() Vance County |
Priority 2: rising ![]() ![]() |
Priority 3: rising ![]() ![]() |
Stable Trend |
Priority 4: stable ![]() ![]() Anson County Nash County Onslow County Robeson County |
Priority 6: stable ![]() ![]() Alexander County Bladen County Burke County Caldwell County Columbus County Davidson County Franklin County Henderson County Hoke County Martin County McDowell County Pender County Pitt County Rutherford County Scotland County Surry County Watauga County |
Priority 7: stable ![]() ![]() Lincoln County Stokes County |
Falling Trend |
Priority 5: falling ![]() ![]() Cumberland County Forsyth County Wayne County |
Priority 8: falling ![]() ![]() Alamance County Beaufort County Brunswick County Buncombe County Cabarrus County Carteret County Catawba County Chatham County Cherokee County Cleveland County Craven County Duplin County Durham County Edgecombe County Gaston County Granville County Guilford County Halifax County Harnett County Haywood County Iredell County Johnston County Lenoir County Macon County Mecklenburg County Moore County New Hanover County Orange County Pasquotank County Person County Randolph County Richmond County Rockingham County Rowan County Sampson County Stanly County Transylvania County Union County Wilkes County Wilson County Yadkin County |
Priority 9: falling ![]() ![]() Wake County |
Notes: Created by statecancerprofiles.cancer.gov on 07/07/2025 4:29 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, Bertie County, Camden County, Caswell County, Chowan County, Clay County, Gates County, Graham County, Greene County, Hertford County, Hyde County, Montgomery County, Northampton County, Pamlico County, Perquimans County, Swain County, Tyrrell County, Washington County Trend for the following could not be reliably determined due to small number of deaths per year: Ashe County, Avery County, Currituck County, Dare County, Davie County, Jackson County, Jones County, Lee County, Madison County, Mitchell County, Polk County, Warren 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. |