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 ![]() ![]() Dodge County |
Priority 6: stable ![]() ![]() Box Butte County Burt County Butler County Cedar County Colfax County Cuming County Gage County Hamilton County Jefferson County Keith County Knox County Merrick County Nemaha County Otoe County Red Willow County Richardson County Saline County Seward County Sheridan County York County |
Priority 7: stable ![]() ![]() Custer County |
Falling Trend |
Priority 5: falling ![]() ![]() |
Priority 8: falling ![]() ![]() Adams County Cass County Dakota County Dawson County Douglas County Hall County Holt County Lincoln County Madison County Nuckolls County Platte County Sarpy County Saunders County Scotts Bluff County Washington County |
Priority 9: falling ![]() ![]() Buffalo County Lancaster County |
Notes: Created by statecancerprofiles.cancer.gov on 09/28/2023 4:27 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 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: Antelope County, Arthur County, Banner County, Blaine County, Boone County, Boyd County, Brown County, Chase County, Cherry County, Cheyenne County, Clay County, Deuel County, Dundy County, Frontier County, Garden County, Garfield County, Gosper County, Grant County, Greeley County, Harlan County, Hayes County, Hitchcock County, Hooker County, Howard County, Johnson County, Kearney County, Keya Paha County, Kimball County, Logan County, Loup County, McPherson County, Morrill County, Nance County, Pawnee County, Perkins County, Rock County, Sherman County, Sioux County, Stanton County, Thayer County, Thomas County, Valley County, Webster County, Wheeler County Trend for the following could not be reliably determined due to small number of deaths per year: Dawes County, Dixon County, Fillmore County, Franklin County, Furnas County, Phelps County, Pierce County, Polk County, Thurston County, Wayne 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. |