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Interpretation of Death Rates Data

Death Rate Report for Nebraska by County

All Cancer Sites, 2015-2019

White (includes Hispanic), Both Sexes, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 0.0 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program

Other Notes

Line by Line Interpretation of the Report


United States

Loup County

Thurston County

Butler County

Webster County

Nance County

Kimball County

Boyd County

Furnas County

Hitchcock County

Fillmore County

Nemaha County

Dodge County

Rock County

Saline County

Nuckolls County

Johnson County

Chase County

Dixon County

Kearney County

Dawes County

Lincoln County

Perkins County

Richardson County

Red Willow County

Merrick County

Seward County

Sheridan County

Dakota County

Scotts Bluff County

Garfield County

Phelps County

Saunders County

Washington County

Hall County

Gage County

Douglas County

Jefferson County

Adams County

Boone County

Keith County

Thayer County

Garden County

Otoe County

Harlan County

Cass County

Sherman County

Pierce County

Cheyenne County

Buffalo County

Sarpy County

Cedar County

Platte County

Howard County

York County

Lancaster County

Burt County

Franklin County

Madison County

Hamilton County

Holt County

Custer County

Dawson County

Deuel County

Cuming County

Pawnee County

Box Butte County

Brown County

Clay County

Colfax County

Wayne County

Gosper County

Antelope County

Polk County

Dundy County

Valley County

Stanton County

Cherry County

Morrill County

Greeley County

Knox County

Frontier County

Arthur County Banner County Blaine County Grant County Hayes County Hooker County Keya Paha County Logan County McPherson County Sioux County Thomas County Wheeler County

Created by on 10/03/2022 5:33 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Arthur, Banner, Blaine, Grant, Hayes, Hooker, Keya Paha, Logan, McPherson, Sioux, Thomas, Wheeler

† 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

Interpret Rankings provides insight into interpreting cancer incidence 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.