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Death Rates Table

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Death Rate Report for South Dakota by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend ascending
South Dakota Yes 134.6 (130.1, 139.1) 750 falling falling trend -0.7 (-1.0, -0.5)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Marshall County No 162.9 (104.6, 246.7) 6 stable stable trend 2.3 (-0.1, 4.7)
Moody County Yes 121.7 (81.0, 178.5) 6 stable stable trend 1.6 (-0.7, 3.9)
Hughes County No 168.5 (135.6, 207.5) 20 stable stable trend 0.9 (-0.5, 2.4)
McCook County No 215.7 (153.0, 298.0) 9 stable stable trend 0.9 (-1.0, 2.8)
Charles Mix County Yes 149.9 (109.8, 201.2) 10 stable stable trend 0.8 (-1.1, 2.6)
Douglas County Yes 158.6 (93.3, 262.4) 4 stable stable trend 0.8 (-2.0, 3.6)
Fall River County Yes 157.1 (114.3, 215.7) 11 stable stable trend 0.7 (-0.9, 2.3)
Bon Homme County Yes 140.3 (97.6, 200.9) 8 stable stable trend 0.3 (-1.9, 2.6)
Meade County Yes 136.4 (110.4, 166.9) 20 stable stable trend 0.1 (-1.2, 1.3)
Brookings County Yes 144.0 (117.9, 174.3) 22 stable stable trend -0.2 (-1.3, 0.9)
Clark County Yes 123.3 (74.8, 201.0) 4 stable stable trend -0.2 (-2.6, 2.3)
Roberts County Yes 141.0 (103.3, 189.1) 10 stable stable trend -0.2 (-1.7, 1.4)
Brown County Yes 151.8 (130.6, 175.7) 42 stable stable trend -0.3 (-1.2, 0.6)
Codington County Yes 156.1 (131.6, 184.2) 31 stable stable trend -0.3 (-1.3, 0.8)
Davison County Yes 143.8 (117.4, 175.2) 24 stable stable trend -0.4 (-1.5, 0.7)
Clay County Yes 140.8 (102.2, 189.7) 9 stable stable trend -0.6 (-2.0, 0.9)
Tripp County Yes 117.5 (79.5, 173.4) 7 stable stable trend -0.6 (-2.5, 1.3)
Yankton County Yes 124.6 (101.1, 152.6) 22 stable stable trend -0.6 (-2.1, 0.9)
Butte County Yes 120.3 (86.3, 164.6) 9 stable stable trend -0.7 (-2.8, 1.5)
Dewey County No 198.8 (127.6, 294.3) 5 stable stable trend -0.7 (-2.9, 1.4)
Grant County Yes 104.2 (71.1, 151.6) 7 stable stable trend -0.7 (-2.4, 1.0)
Hamlin County Yes 91.4 (56.5, 144.1) 5 stable stable trend -0.7 (-3.2, 1.8)
Lake County Yes 111.1 (82.0, 149.0) 10 stable stable trend -0.7 (-2.5, 1.1)
Lawrence County Yes 133.0 (109.7, 160.3) 25 stable stable trend -0.7 (-1.7, 0.4)
Kingsbury County No 164.8 (114.6, 235.2) 8 stable stable trend -0.8 (-2.7, 1.2)
Spink County No 169.3 (119.4, 235.8) 9 stable stable trend -0.8 (-2.6, 0.9)
Faulk County Yes 157.1 (83.8, 279.3) 3 stable stable trend -0.9 (-3.1, 1.4)
Minnehaha County Yes 137.1 (126.7, 148.3) 135 falling falling trend -0.9 (-1.4, -0.4)
Beadle County Yes 132.3 (105.1, 165.2) 18 stable stable trend -1.0 (-2.1, 0.1)
Day County Yes 97.0 (59.6, 154.8) 5 stable stable trend -1.1 (-3.0, 0.8)
Gregory County Yes 154.1 (100.7, 233.7) 6 stable stable trend -1.1 (-2.6, 0.5)
Hand County Yes 116.9 (59.8, 212.2) 4 stable stable trend -1.1 (-3.7, 1.5)
Hutchinson County Yes 93.5 (60.5, 141.3) 7 stable stable trend -1.3 (-3.3, 0.7)
Pennington County Yes 128.7 (116.6, 141.8) 88 falling falling trend -1.3 (-1.8, -0.7)
Turner County Yes 148.9 (107.7, 203.0) 10 stable stable trend -1.5 (-3.5, 0.5)
Union County Yes 136.7 (106.0, 174.6) 14 falling falling trend -1.6 (-3.1, -0.1)
Walworth County Yes 120.7 (82.2, 177.2) 7 stable stable trend -1.7 (-3.7, 0.3)
Shannon County No 215.5 (157.0, 286.8) 10 falling falling trend -1.9 (-3.4, -0.4)
Custer County Yes 127.8 (93.2, 175.7) 10 falling falling trend -2.0 (-3.7, -0.2)
Edmunds County Yes 109.1 (63.2, 182.4) 4 stable stable trend -2.2 (-4.4, 0.0)
Lincoln County Yes 94.5 (77.5, 114.0) 23 falling falling trend -5.7 (-8.7, -2.7)
Brule County No 166.6 (110.2, 243.9) 6
*
*
Deuel County Yes 97.4 (56.9, 163.4) 4
*
*
Lyman County Yes 154.8 (92.9, 246.6) 4
*
*
Todd County No 167.5 (108.3, 245.1) 6
*
*
Aurora County ***
*
3 or fewer
*
*
Bennett County ***
*
3 or fewer
*
*
Buffalo County ***
*
3 or fewer
*
*
Campbell County ***
*
3 or fewer
*
*
Corson County ***
*
3 or fewer
*
*
Haakon County ***
*
3 or fewer
*
*
Hanson County ***
*
3 or fewer
*
*
Harding County ***
*
3 or fewer
*
*
Hyde County ***
*
3 or fewer
*
*
Jackson County ***
*
3 or fewer
*
*
Jerauld County ***
*
3 or fewer
*
*
Jones County ***
*
3 or fewer
*
*
McPherson County ***
*
3 or fewer
*
*
Mellette County ***
*
3 or fewer
*
*
Miner County ***
*
3 or fewer
*
*
Perkins County ***
*
3 or fewer
*
*
Potter County ***
*
3 or fewer
*
*
Sanborn County ***
*
3 or fewer
*
*
Stanley County ***
*
3 or fewer
*
*
Sully County ***
*
3 or fewer
*
*
Ziebach County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/07/2020 5:14 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.
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 2020 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 1969-2016 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.

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).


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.

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