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Interpretation of Death Rates Data

Death Rate Report for Nebraska by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 65+

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 122.7 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

Thurston County

Webster County

Nance County

Butler County

Kimball County

Chase County

Jefferson County

Johnson County

Boone County

Hitchcock County

Fillmore County

Red Willow County

Dodge County

Garden County

Nuckolls County

Perkins County

Lincoln County

Seward County

Deuel County

Dawes County

Nemaha County

Douglas County

Box Butte County

Kearney County

Merrick County

Richardson County

Washington County

Dakota County

Phelps County

Gage County

Keith County

Scotts Bluff County

Saline County

Dundy County

Adams County

Sarpy County

Platte County

Burt County

York County

Sheridan County

Buffalo County

Otoe County

Saunders County

Brown County

Hall County

Cass County

Cheyenne County

Boyd County

Cedar County

Lancaster County

Dixon County

Howard County

Harlan County

Pierce County

Franklin County

Furnas County

Dawson County

Valley County

Madison County

Clay County

Thayer County

Cherry County

Hamilton County

Sherman County

Holt County

Stanton County

Wayne County

Gosper County

Antelope County

Polk County

Morrill County

Knox County

Colfax County

Custer County

Pawnee County

Cuming County

Garfield County

Greeley County

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

Created by on 11/29/2023 7:35 am.

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

† 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 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
* 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).

Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

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.