Mortality > Table
Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising and above |
Priority 2: rising and similar Hitchcock County |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above Adams County Dodge County Lincoln County |
Priority 6: stable and similar Antelope County Boone County Box Butte County Brown County Buffalo County Burt County Butler County Cass County Cedar County Chase County Cherry County Cheyenne County Clay County Colfax County Custer County Dakota County Dawes County Dixon County Fillmore County Furnas County Gage County Garfield County Hamilton County Holt County Howard County Jefferson County Johnson County Keith County Kimball County Merrick County Morrill County Nance County Nemaha County Nuckolls County Phelps County Pierce County Platte County Polk County Red Willow County Richardson County Saline County Saunders County Seward County Sheridan County Stanton County Thayer County Valley County Washington County Wayne County Webster County York County |
Priority 7: stable and below Cuming County |
Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar Dawson County Douglas County Hall County Kearney County Lancaster County Madison County Otoe County Perkins County Sarpy County Scotts Bluff County |
Priority 9: falling and below Knox County |
Notes: Created by statecancerprofiles.cancer.gov on 04/25/2024 3:50 pm. Trend2 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. Rate Comparison 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 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 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: Arthur County, Banner County, Blaine County, Dundy County, Franklin County, Frontier County, Gosper County, Grant County, Greeley County, Hayes County, Hooker County, Keya Paha County, Logan County, Loup County, McPherson County, Pawnee County, Rock County, Sherman County, Sioux County, Thomas County, Wheeler County Trend for the following could not be reliably determined due to small number of deaths per year: Boyd County, Deuel County, Garden County, Harlan County, Thurston 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. |