Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above Hitchcock County |
Priority 2: rising and similar  Burt County Cheyenne County Stanton County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above Dodge County Jefferson County Nemaha County Webster County |
Priority 6: stable and similar Adams County Antelope County Boone County Box Butte County Buffalo County Butler County Cass County Cedar County Cherry County Clay County Colfax County Cuming County Custer County Dakota County Dawes County Dawson County Dixon County Fillmore County Franklin County Furnas County Gage County Hamilton County Holt County Howard County Johnson County Kearney County Keith County Knox County Lincoln County Madison County Merrick County Morrill County Nance County Nuckolls County Otoe County Phelps County Pierce County Platte County Polk County Red Willow County Richardson County Saline County Saunders County Scotts Bluff County Seward County Sheridan County Thayer County Valley County Washington County York County |
Priority 7: stable and below Wayne County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar Chase County Douglas County Hall County Kimball County Lancaster County Sarpy County |
Priority 9: falling and below |
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Notes: Created by statecancerprofiles.cancer.gov on 03/13/2026 7:27 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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, Brown County, Deuel County, Dundy County, Frontier County, Garfield County, Gosper County, Grant County, Hayes County, Hooker County, Keya Paha County, Logan County, Loup County, McPherson County, Pawnee County, Perkins County, Rock 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, Garden County, Greeley County, Harlan County, Sherman 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 do not include Puerto Rico. |
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