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Interpretation of Death Rates Data

Death Rate Report for South Dakota by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by Name

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


South Dakota


United States


Yankton County


Walworth County


Union County


Turner County


Tripp County


Todd County


Stanley County


Spink County


Shannon County


Roberts County


Perkins County


Pennington County


Moody County


Minnehaha County


Miner County


Mellette County


Meade County


McPherson County


McCook County


Marshall County


Lyman County


Lincoln County


Lawrence County


Lake County


Kingsbury County


Jackson County


Hutchinson County


Hughes County


Hanson County


Hand County


Hamlin County


Gregory County


Grant County


Fall River County


Dewey County


Deuel County


Day County


Davison County


Custer County


Corson County


Codington County


Clay County


Clark County


Charles Mix County


Butte County


Brule County


Brown County


Brookings County


Bon Homme County


Bennett County


Beadle County


Aurora County


Buffalo County Campbell County Douglas County Edmunds County Faulk County Haakon County Harding County Hyde County Jerauld County Jones County Potter County Sanborn County Sully County Ziebach County

Notes:
Created by statecancerprofiles.cancer.gov on 11/30/2022 6:05 pm.

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

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 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.