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 ![]() ![]() |
Priority 6: stable ![]() ![]() Dare County Haywood County |
Priority 7: stable ![]() ![]() |
Falling Trend |
Priority 5: falling ![]() ![]() Granville County Guilford County Halifax County Robeson County |
Priority 8: falling ![]() ![]() Alamance County Ashe County Beaufort County Bladen County Brunswick County Buncombe County Burke County Cabarrus County Caldwell County Carteret County Catawba County Chatham County Cleveland County Columbus County Craven County Cumberland County Davidson County Davie County Durham County Edgecombe County Forsyth County Franklin County Gaston County Harnett County Henderson 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 Person County Pitt County Randolph County Richmond County Rockingham County Rowan County Rutherford County Sampson County Scotland County Stanly County Stokes County Surry County Union County Vance County Wake County Wayne County Wilkes County Wilson County |
Priority 9: falling ![]() ![]() Duplin County Transylvania County |
Notes: Created by statecancerprofiles.cancer.gov on 08/12/2022 5:21 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 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 1969-2018 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: Alexander County, Alleghany County, Avery County, Bertie County, Camden County, Caswell County, Clay County, Currituck County, Gates County, Graham County, Greene County, Hyde County, Jones County, Madison County, Mitchell County, Northampton County, Pamlico County, Perquimans County, Polk County, Swain County, Tyrrell County, Washington County, Yancey County Trend for the following could not be reliably determined due to small number of deaths per year: Anson County, Cherokee County, Chowan County, Jackson County, Macon County, Montgomery County, Warren County, Watauga County, Yadkin 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. |