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Interpretation of Death Rates Data

Death Rate Report for South Dakota by County

All Cancer Sites, 2011-2015

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 161.4 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


    South Dakota


    United States


    Turner County


    Perkins County


    Jerauld County


    McCook County


    Hanson County


    Moody County


    Gregory County


    Marshall County


    Hughes County


    Mellette County


    Bennett County


    Brookings County


    Dewey County


    Douglas County


    Miner County


    Charles Mix County


    Clark County


    Corson County


    Bon Homme County


    Butte County


    Kingsbury County


    Brule County


    Codington County


    Grant County


    Lawrence County


    Minnehaha County


    Potter County


    Roberts County


    Brown County


    Fall River County


    Haakon County


    Yankton County


    Aurora County


    Beadle County


    Davison County


    Clay County


    Sanborn County


    Tripp County


    Custer County


    Faulk County


    Lake County


    McPherson County


    Meade County


    Pennington County


    Hand County


    Todd County


    Spink County


    Union County


    Day County


    Walworth County


    Hutchinson County


    Campbell County


    Lyman County


    Shannon County


    Sully County


    Jackson County


    Edmunds County


    Stanley County


    Deuel County


    Hamlin County


    Lincoln County


    Buffalo County Harding County Hyde County Jones County Ziebach County

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/23/2019 6:50 am.

    South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, Shannon County was renamed Oglala Lakota County (FIPS Code=46102) (effective May 1, 2015). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with our next data release in 2018.

    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.