Mortality > Table
Rate/Trend Comparison by Cancer Table
|Above US Rate||Similar to US Rate||Below US Rate|
|Priority 1: rising and above
|Priority 2: rising and similar
New Hanover County
|Priority 3: rising and below
|Priority 4: stable and above
||Priority 6: stable and similar
|Priority 7: stable and below
|Priority 5: falling and above
||Priority 8: falling and similar
||Priority 9: falling and below
Created by statecancerprofiles.cancer.gov on 03/29/2023 6:34 am.
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.
Above when 95% confident the rate is above and Rate Ratio3 > 1.10
Similar when unable to conclude above or below with confidence.
Below when 95% confident the rate is below and Rate Ratio3 < 0.90
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 18.104.22.168. 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, Avery County, Bertie County, Camden County, Caswell County, Cherokee County, Chowan County, Clay County, Currituck County, Davie County, Gates County, Graham County, Hertford County, Hoke County, Hyde County, Jones County, Madison County, Mitchell County, Northampton County, Pamlico County, Pasquotank County, Perquimans County, Polk County, Swain County, Tyrrell County, Warren County, Washington County
Trend for the following could not be reliably determined due to small number of deaths per year:
Alexander County, Ashe County, Beaufort County, Bladen County, Burke County, Caldwell County, Carteret County, Chatham County, Cleveland County, Columbus County, Craven County, Dare County, Duplin County, Edgecombe County, Franklin County, Granville County, Greene County, Halifax County, Haywood County, Henderson County, Jackson County, Lee County, Lincoln County, Macon County, Martin County, McDowell County, Montgomery County, Moore County, Onslow County, Orange County, Pender County, Person County, Rockingham County, Sampson County, Scotland County, Stokes County, Surry County, Transylvania County, Vance County, Watauga County, Wayne County, Wilkes County, Wilson 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.