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Interpretation of Death Rates Data

Death Rate Report for New York by County

Breast, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

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


    New York


    United States


    Montgomery County


    Madison County


    Orleans County


    Tioga County


    Clinton County


    Franklin County


    Wyoming County


    Oneida County


    Columbia County


    Ontario County


    Washington County


    Steuben County


    Essex County


    Oswego County


    Fulton County


    Herkimer County


    Saratoga County


    Cattaraugus County


    Genesee County


    Delaware County


    Sullivan County


    Queens County


    Dutchess County


    Cortland County


    Richmond County


    Schenectady County


    Monroe County


    Allegany County


    Onondaga County


    Westchester County


    Warren County


    Rockland County


    Nassau County


    Cayuga County


    Otsego County


    Ulster County


    Broome County


    Chautauqua County


    Livingston County


    Tompkins County


    Jefferson County


    New York County


    St. Lawrence County


    Suffolk County


    Wayne County


    Niagara County


    Chemung County


    Putnam County


    Albany County


    Orange County


    Lewis County


    Rensselaer County


    Bronx County


    Kings County


    Chenango County


    Seneca County


    Greene County


    Erie County


    Hamilton County Schoharie County Schuyler County Yates County

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/21/2019 11:16 am.

    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.