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Interpretation of Incidence Rates Data

Incidence Rate Report for South Dakota by County

Breast (in situ) (All Stages^), 2014-2018

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

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


Brown County6


Davison County6


Minnehaha County6


Lincoln County6


Brookings County6


Codington County6


Pennington County6


Aurora County6 Beadle County6 Bennett County6 Bon Homme County6 Brule County6 Buffalo County6 Butte County6 Campbell County6 Charles Mix County6 Clark County6 Clay County6 Corson County6 Custer 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 Harding County6 Hughes County6 Hutchinson County6 Hyde County6 Jackson County6 Jerauld County6 Jones County6 Kingsbury County6 Lake County6 Lawrence County6 Lyman County6 Marshall County6 McCook County6 McPherson County6 Meade County6 Mellette County6 Miner County6 Moody County6 Perkins County6 Potter County6 Roberts County6 Sanborn County6 Shannon County6 Spink County6 Stanley County6 Sully County6 Todd County6 Tripp County6 Turner County6 Union County6 Walworth County6 Yankton County6 Ziebach County6

Notes:
Created by statecancerprofiles.cancer.gov on 11/27/2021 12:27 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.
Aurora, Beadle, Bennett, Bon Homme, Brule, Buffalo, Butte, Campbell, Charles Mix, Clark, Clay, Corson, Custer, Day, Deuel, Dewey, Douglas, Edmunds, Fall River, Faulk, Grant, Gregory, Haakon, Hamlin, Hand, Hanson, Harding, Hughes, Hutchinson, Hyde, Jackson, Jerauld, Jones, Kingsbury, Lake, Lawrence, Lyman, Marshall, McCook, McPherson, Meade, Mellette, Miner, Moody, Perkins, Potter, Roberts, Sanborn, Shannon, Spink, Stanley, Sully, Todd, Tripp, Turner, Union, Walworth, Yankton, Ziebach

† 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.