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Interpretation of Death Rates Data

Death Rate Report for Nebraska by County

Breast, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 20.7 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

  • Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
  • Data is currently being suppressed if there are fewer than 16 counts for the time period.

  • Line by Line Interpretation of the Report


    Nebraska


    United States


    Cass County


    Lincoln County


    Buffalo County


    Scotts Bluff County


    Adams County


    Dodge County


    Madison County


    Douglas County


    Sarpy County


    Platte County


    Lancaster County


    Hall County


    Custer County


    Gage County


    Washington County


    York County


    Antelope County Arthur County Banner County Blaine County Boone County Box Butte County Boyd County Brown County Burt County Butler County Cedar County Chase County Cherry County Cheyenne County Clay County Colfax County Cuming County Dakota County Dawes County Dawson County Deuel County Dixon County Dundy County Fillmore County Franklin County Frontier County Furnas County Garden County Garfield County Gosper County Grant County Greeley County Hamilton County Harlan County Hayes County Hitchcock County Holt County Hooker County Howard County Jefferson County Johnson County Kearney County Keith County Keya Paha County Kimball County Knox County Logan County Loup County McPherson County Merrick County Morrill County Nance County Nemaha County Nuckolls County Otoe County Pawnee County Perkins County Phelps County Pierce County Polk County Red Willow County Richardson County Rock County Saline County Saunders County Seward County Sheridan County Sherman County Sioux County Stanton County Thayer County Thomas County Thurston County Valley County Wayne County Webster County Wheeler County

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/18/2019 5:37 pm.

    State Cancer Registries may provide more current or more local data.
    Trend
    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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

    Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

    * 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 availablility, 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.