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Interpretation of Incidence Rates Data

Incidence Rate Report for South Dakota by County

All Cancer Sites (All Stages^), 2014-2018

All Races (includes Hispanic), Both Sexes, Ages <65

Sorted by Name

Explanation of Column Headers

Objective - The objective of *** is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Incidence Rate (95% Confidence Interval) - The incidence rate is based upon 100,000 people and is an annual rate (or average annual rate) based on the time period indicated. Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population.

Recent Trends - This is an interpretation of the AAPC/APC:

AAPC/APC (95% Confidence Interval) - the change in rate over time


Other Notes


Line by Line Interpretation of the Report


South Dakota6


US (SEER+NPCR)1


Aurora County6


Beadle County6


Bennett County6


Bon Homme County6


Brookings County6


Brown County6


Brule County6


Buffalo County6


Butte County6


Charles Mix County6


Clark County6


Clay County6


Codington County6


Corson County6


Custer County6


Davison County6


Day County6


Deuel County6


Dewey County6


Douglas County6


Edmunds County6


Fall River County6


Faulk County6


Grant County6


Gregory County6


Haakon County6


Hamlin County6


Hand County6


Hanson County6


Hughes County6


Hutchinson County6


Jackson County6


Jerauld County6


Jones County6


Kingsbury County6


Lake County6


Lawrence County6


Lincoln County6


Lyman County6


Marshall County6


McCook County6


McPherson County6


Meade County6


Mellette County6


Miner County6


Minnehaha County6


Moody County6


Pennington County6


Perkins County6


Potter County6


Roberts County6


Sanborn County6


Shannon County6


Spink County6


Stanley County6


Todd County6


Tripp County6


Turner County6


Union County6


Walworth County6


Yankton County6


Campbell County6 Harding County6 Hyde County6 Sully County6 Ziebach County6

Notes:
Created by statecancerprofiles.cancer.gov on 07/02/2022 11:15 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.

Data cannot be shown for the following areas. For more information on what areas are suppressed or not available, please refer to the table.
Campbell, Harding, Hyde, Sully, Ziebach

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

† Incidence 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 are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2018 US Population Data File is used for SEER and NPCR incidence rates.
Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
* 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).

Source: SEER and NPCR data. For more specific information please see the table.

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.