Return to Home Incidence > Table

Incidence Rates Table

Data Options

Incidence Rate Report for South Dakota by County

Brain & ONS, 2011-2015

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

Sorted by Name
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
South Dakota 6,10 *** 7.2 (6.4, 8.1) 67 falling falling trend -9.4 (-15.6, -2.7)
US (SEER+NPCR) 1,10 *** 6.5 (6.5, 6.6) 22,226 falling falling trend -0.9 (-1.7, -0.2)
Ziebach County 6,10 ***
*
3 or fewer
*
*
Yankton County 6,10 ***
*
3 or fewer
*
*
Walworth County 6,10 ***
*
3 or fewer
*
*
Union County 6,10 ***
*
3 or fewer
*
*
Turner County 6,10 ***
*
3 or fewer
*
*
Tripp County 6,10 ***
*
3 or fewer
*
*
Todd County 6,10 ***
*
3 or fewer
*
*
Sully County 6,10 ***
*
3 or fewer
*
*
Stanley County 6,10 ***
*
3 or fewer
*
*
Spink County 6,10 ***
*
3 or fewer
*
*
Shannon County 6,10 ***
*
3 or fewer
*
*
Sanborn County 6,10 ***
*
3 or fewer
*
*
Roberts County 6,10 ***
*
3 or fewer
*
*
Potter County 6,10 ***
*
3 or fewer
*
*
Perkins County 6,10 ***
*
3 or fewer
*
*
Pennington County 6,10 *** 7.0 (4.9, 9.6) 8 stable stable trend -4.7 (-40.7, 53.1)
Moody County 6,10 ***
*
3 or fewer
*
*
Minnehaha County 6,10 *** 8.7 (6.9, 10.9) 16 stable stable trend -22.7 (-51.6, 23.4)
Miner County 6,10 ***
*
3 or fewer
*
*
Mellette County 6,10 ***
*
3 or fewer
*
*
Meade County 6,10 ***
*
3 or fewer
*
*
McPherson County 6,10 ***
*
3 or fewer
*
*
McCook County 6,10 ***
*
3 or fewer
*
*
Marshall County 6,10 ***
*
3 or fewer
*
*
Lyman County 6,10 ***
*
3 or fewer
*
*
Lincoln County 6,10 ***
*
3 or fewer
*
*
Lawrence County 6,10 ***
*
3 or fewer
*
*
Lake County 6,10 ***
*
3 or fewer
*
*
Kingsbury County 6,10 ***
*
3 or fewer
*
*
Jones County 6,10 ***
*
3 or fewer
*
*
Jerauld County 6,10 ***
*
3 or fewer
*
*
Jackson County 6,10 ***
*
3 or fewer
*
*
Hyde County 6,10 ***
*
3 or fewer
*
*
Hutchinson County 6,10 ***
*
3 or fewer
*
*
Hughes County 6,10 ***
*
3 or fewer
*
*
Harding County 6,10 ***
*
3 or fewer
*
*
Hanson County 6,10 ***
*
3 or fewer
*
*
Hand County 6,10 ***
*
3 or fewer
*
*
Hamlin County 6,10 ***
*
3 or fewer
*
*
Haakon County 6,10 ***
*
3 or fewer
*
*
Gregory County 6,10 ***
*
3 or fewer
*
*
Grant County 6,10 ***
*
3 or fewer
*
*
Faulk County 6,10 ***
*
3 or fewer
*
*
Fall River County 6,10 ***
*
3 or fewer
*
*
Edmunds County 6,10 ***
*
3 or fewer
*
*
Douglas County 6,10 ***
*
3 or fewer
*
*
Dewey County 6,10 ***
*
3 or fewer
*
*
Deuel County 6,10 ***
*
3 or fewer
*
*
Day County 6,10 ***
*
3 or fewer
*
*
Davison County 6,10 ***
*
3 or fewer
*
*
Custer County 6,10 ***
*
3 or fewer
*
*
Corson County 6,10 ***
*
3 or fewer
*
*
Codington County 6,10 ***
*
3 or fewer
*
*
Clay County 6,10 ***
*
3 or fewer
*
*
Clark County 6,10 ***
*
3 or fewer
*
*
Charles Mix County 6,10 ***
*
3 or fewer
*
*
Campbell County 6,10 ***
*
3 or fewer
*
*
Butte County 6,10 ***
*
3 or fewer
*
*
Buffalo County 6,10 ***
*
3 or fewer
*
*
Brule County 6,10 ***
*
3 or fewer
*
*
Brown County 6,10 *** 7.6 (4.3, 12.6) 3
*
*
Brookings County 6,10 ***
*
3 or fewer
*
*
Bon Homme County 6,10 ***
*
3 or fewer
*
*
Bennett County 6,10 ***
*
3 or fewer
*
*
Beadle County 6,10 ***
*
3 or fewer
*
*
Aurora County 6,10 ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/22/2019 9:30 pm.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

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.
† 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 1969-2015 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission and SEER November 2017 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates 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. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2016 US Population Data File is used with NPCR November 2017 data.

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.

Return to Top