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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 Rate

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

    Shannon County

    Dewey County

    McCook County

    Todd County

    Bennett County

    Mellette County

    Perkins County

    Hanson County

    Corson County

    Roberts County

    Fall River County

    Douglas County

    Minnehaha County

    Butte County

    Kingsbury County

    Walworth County

    Stanley County

    Beadle County

    Jerauld County

    Sanborn County

    Codington County

    Haakon County

    Jackson County

    Brule County

    Faulk County

    Turner County

    Gregory County

    Sully County

    Hughes County

    Brookings County

    Brown County

    Charles Mix County

    Clay County

    Lawrence County

    Pennington County

    Aurora County

    Moody County

    Davison County

    Clark County

    Marshall County

    Lyman County

    Miner County

    Meade County

    Grant County

    Tripp County

    Spink County

    Potter County

    Yankton County

    Union County

    Hand County

    Hamlin County

    McPherson County

    Lake County

    Custer County

    Edmunds County

    Bon Homme County

    Hutchinson County

    Day County

    Lincoln County

    Deuel County

    Campbell County

    Buffalo County Harding County Hyde County Jones County Ziebach County

    Created by on 07/22/2019 11:57 pm.

    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.
    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.