Return to Home Incidence > Table

Incidence Rates Table

Data Options

Incidence Rate Report for South Dakota by County

Colon & Rectum (All Stages^), 2013-2017

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 39.9?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 6,8 No 41.8 (40.0, 43.7) 423 falling falling trend -2.5 (-3.3, -1.7)
US (SEER+NPCR) 1,8 Yes 38.4 (38.3, 38.5) 142,225 falling falling trend -1.4 (-1.8, -1.0)
Kingsbury County 6,8 No 114.2 (79.9, 159.6) 8 stable stable trend 2.2 (-3.3, 8.1)
Douglas County 6 No 84.3 (42.9, 148.8) 3
*
*
Dewey County 6,8 No 68.1 (38.4, 110.9) 3 stable stable trend -0.6 (-6.2, 5.2)
Hutchinson County 6,8 No 66.9 (45.8, 95.5) 7 rising rising trend 12.5 (2.7, 23.2)
Spink County 6,8 No 64.6 (41.5, 96.6) 6 stable stable trend -2.5 (-8.0, 3.4)
Day County 6,8 No 64.4 (39.5, 100.4) 5 stable stable trend -0.3 (-6.5, 6.2)
McCook County 6,8 No 60.0 (38.3, 91.2) 5 stable stable trend 0.8 (-4.7, 6.6)
Charles Mix County 6,8 No 56.7 (38.2, 81.3) 7 stable stable trend -1.6 (-5.5, 2.5)
Shannon County 6,8 No 54.0 (34.3, 80.4) 5 stable stable trend -1.5 (-5.7, 3.0)
Union County 6,8 No 54.0 (39.2, 72.7) 9 stable stable trend -2.4 (-5.7, 1.0)
Butte County 6,8 No 52.7 (36.9, 73.8) 7 stable stable trend 2.2 (-3.0, 7.7)
Todd County 6,8 No 52.7 (29.0, 86.3) 3 stable stable trend -2.1 (-7.6, 3.6)
Brookings County 6,8 No 52.1 (40.8, 65.6) 15 stable stable trend -1.4 (-4.7, 1.9)
Davison County 6,8 No 50.9 (38.2, 66.5) 12 falling falling trend -3.9 (-6.6, -1.2)
Deuel County 6,8 No 50.3 (29.0, 84.2) 3 stable stable trend -3.9 (-9.9, 2.5)
Grant County 6,8 No 49.7 (32.3, 74.4) 6 stable stable trend -1.8 (-6.0, 2.5)
Tripp County 6,8 No 48.6 (28.6, 78.9) 4 stable stable trend 0.3 (-6.3, 7.3)
Brule County 6,8 No 47.1 (27.6, 77.0) 4 stable stable trend -1.3 (-8.1, 5.9)
Roberts County 6,8 No 46.8 (30.5, 69.0) 6 stable stable trend 1.3 (-2.9, 5.7)
Lake County 6,8 No 44.8 (30.2, 64.4) 7 stable stable trend -1.6 (-5.8, 2.7)
Minnehaha County 6,8 No 44.3 (40.0, 49.0) 81 stable stable trend -9.8 (-19.4, 0.9)
Custer County 6,8 No 41.3 (27.1, 62.5) 6 stable stable trend -1.3 (-6.0, 3.6)
Lawrence County 6,8 No 41.0 (31.5, 52.7) 14 stable stable trend -3.0 (-6.3, 0.4)
Turner County 6,8 No 40.5 (25.4, 62.3) 5 stable stable trend -4.5 (-9.9, 1.2)
Yankton County 6,8 No 40.2 (30.0, 52.8) 11 stable stable trend -1.1 (-4.7, 2.7)
Bon Homme County 6 Yes 39.3 (23.1, 63.7) 4
*
*
Codington County 6,8 Yes 38.0 (29.3, 48.7) 14 falling falling trend -3.7 (-6.4, -1.0)
Fall River County 6,8 Yes 37.1 (23.7, 58.3) 5 stable stable trend -1.5 (-5.5, 2.6)
Pennington County 6,8 Yes 35.4 (30.8, 40.6) 45 falling falling trend -2.9 (-4.4, -1.4)
Brown County 6,8 Yes 35.4 (28.2, 44.0) 18 falling falling trend -2.8 (-5.3, -0.2)
Hughes County 6,8 Yes 33.7 (23.4, 47.2) 7 stable stable trend -2.5 (-6.5, 1.6)
Clay County 6,8 Yes 33.2 (19.8, 52.3) 4 stable stable trend -2.7 (-8.2, 3.0)
Lincoln County 6,8 Yes 32.0 (25.3, 39.9) 17 falling falling trend -5.4 (-7.8, -3.0)
Meade County 6,8 Yes 31.4 (23.0, 41.9) 10 falling falling trend -3.4 (-6.3, -0.4)
Beadle County 6,8 Yes 29.7 (20.2, 42.3) 7 falling falling trend -6.0 (-9.6, -2.3)
Aurora County 6 ***
*
3 or fewer
*
*
Bennett County 6 ***
*
3 or fewer
*
*
Buffalo County 6 ***
*
3 or fewer
*
*
Campbell County 6 ***
*
3 or fewer
*
*
Clark County 6,8 ***
*
3 or fewer
*
*
Corson County 6 ***
*
3 or fewer
*
*
Edmunds County 6 ***
*
3 or fewer
*
*
Faulk County 6 ***
*
3 or fewer
*
*
Gregory County 6,8 ***
*
3 or fewer
*
*
Haakon County 6 ***
*
3 or fewer
*
*
Hamlin County 6 ***
*
3 or fewer
*
*
Hand County 6,8 ***
*
3 or fewer
*
*
Hanson County 6 ***
*
3 or fewer
*
*
Harding County 6 ***
*
3 or fewer
*
*
Hyde County 6 ***
*
3 or fewer
*
*
Jackson County 6 ***
*
3 or fewer
*
*
Jerauld County 6 ***
*
3 or fewer
*
*
Jones County 6 ***
*
3 or fewer
*
*
Lyman County 6 ***
*
3 or fewer
*
*
Marshall County 6 ***
*
3 or fewer
*
*
McPherson County 6 ***
*
3 or fewer
*
*
Mellette County 6 ***
*
3 or fewer
*
*
Miner County 6 ***
*
3 or fewer
*
*
Moody County 6,8 ***
*
3 or fewer
*
*
Perkins County 6,8 ***
*
3 or fewer
*
*
Potter County 6 ***
*
3 or fewer
*
*
Sanborn County 6 ***
*
3 or fewer
*
*
Stanley County 6 ***
*
3 or fewer
*
*
Sully County 6 ***
*
3 or fewer
*
*
Walworth County 6 ***
*
3 or fewer
*
*
Ziebach County 6 ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/19/2020 5:54 am.

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.
† 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 1969-2017 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.

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.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database (2001-2017) - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2019 submission.
6 Source: National Program of Cancer Registries SEER*Stat Database (2001-2017) - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2019 submission).
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The 1969-2017 US Population Data File is used with SEER November 2019 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