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Death Rates Table

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Death Rate Report for South Dakota by County

All Cancer Sites, 2015-2019

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

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank 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 *** 45.3 (43.3, 47.4) N/A 427 falling falling trend -1.5 (-1.8, -1.3)
United States *** 48.4 (48.3, 48.5) N/A 171,025 falling falling trend -2.4 (-2.7, -2.0)
Butte County *** 71.8 (51.3, 98.9) 4 (1, 19) 9 stable stable trend -0.4 (-2.2, 1.4)
Davison County *** 40.1 (28.8, 54.7) 22 (8, 29) 9 stable stable trend -0.9 (-2.5, 0.7)
Dewey County *** 71.7 (41.5, 115.0) 5 (1, 28) 4 stable stable trend -0.9 (-3.0, 1.2)
Hughes County *** 42.3 (29.8, 58.5) 18 (6, 29) 8 stable stable trend -1.0 (-2.3, 0.3)
Roberts County *** 50.7 (31.8, 76.9) 13 (2, 29) 5 stable stable trend -1.2 (-2.6, 0.2)
Beadle County *** 51.7 (37.5, 69.8) 11 (3, 27) 10 stable stable trend -1.5 (-3.1, 0.0)
Minnehaha County *** 49.1 (44.7, 53.9) 15 (8, 20) 96 falling falling trend -1.5 (-2.1, -0.9)
Shannon County *** 67.3 (47.8, 91.9) 7 (1, 22) 8 stable stable trend -1.5 (-3.0, 0.0)
Union County *** 49.4 (35.1, 68.0) 14 (3, 29) 9 stable stable trend -1.5 (-3.2, 0.3)
Kingsbury County *** 59.2 (34.4, 98.4) 8 (1, 29) 4 stable stable trend -1.6 (-3.8, 0.7)
Meade County *** 43.0 (32.7, 55.6) 17 (7, 29) 13 falling falling trend -1.6 (-2.6, -0.5)
Pennington County *** 47.0 (41.3, 53.2) 16 (8, 23) 57 falling falling trend -1.6 (-2.0, -1.1)
Clay County *** 38.9 (24.4, 59.5) 25 (6, 29) 5 stable stable trend -1.7 (-3.9, 0.5)
Lake County *** 28.7 (17.5, 45.7) 29 (13, 29) 5 stable stable trend -1.7 (-3.7, 0.3)
Brookings County *** 33.4 (24.4, 44.7) 28 (13, 29) 10 falling falling trend -1.8 (-3.2, -0.4)
Lawrence County *** 38.8 (28.2, 52.3) 26 (9, 29) 11 falling falling trend -1.9 (-2.9, -0.9)
Brown County *** 41.9 (33.0, 52.5) 20 (9, 28) 17 falling falling trend -2.1 (-3.2, -0.9)
Fall River County *** 70.1 (44.5, 107.8) 6 (1, 26) 6 stable stable trend -2.1 (-4.4, 0.3)
Yankton County *** 38.9 (29.1, 51.6) 24 (9, 29) 11 falling falling trend -2.1 (-3.2, -1.0)
Custer County *** 39.6 (24.8, 63.7) 23 (5, 29) 6 falling falling trend -2.3 (-3.8, -0.8)
Codington County *** 42.2 (32.4, 54.4) 19 (8, 29) 14 falling falling trend -2.5 (-3.4, -1.5)
Charles Mix County *** 74.5 (49.9, 107.4) 2 (1, 22) 7
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Day County *** 51.0 (27.2, 89.4) 12 (1, 29) 3
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Hamlin County *** 55.4 (33.5, 88.2) 9 (1, 29) 4
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Hutchinson County *** 41.8 (23.4, 70.6) 21 (3, 29) 4
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Lincoln County *** 34.0 (27.2, 41.9) 27 (17, 29) 18
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McCook County *** 72.9 (44.6, 113.9) 3 (1, 26) 4
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*
Todd County *** 78.0 (51.7, 112.3) 1 (1, 20) 6
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*
Turner County *** 52.7 (32.9, 81.2) 10 (1, 29) 5
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Aurora County ***
*
*
3 or fewer
*
*
Bennett County ***
*
*
3 or fewer
*
*
Bon Homme County ***
*
*
3 or fewer
*
*
Brule County ***
*
*
3 or fewer
*
*
Buffalo County ***
*
*
3 or fewer
*
*
Campbell County ***
*
*
3 or fewer
*
*
Clark County ***
*
*
3 or fewer
*
*
Corson County ***
*
*
3 or fewer
*
*
Deuel County ***
*
*
3 or fewer
*
*
Douglas County ***
*
*
3 or fewer
*
*
Edmunds County ***
*
*
3 or fewer
*
*
Faulk County ***
*
*
3 or fewer
*
*
Grant County ***
*
*
3 or fewer
*
*
Gregory County ***
*
*
3 or fewer
*
*
Haakon County ***
*
*
3 or fewer
*
*
Hand County ***
*
*
3 or fewer
*
*
Hanson County ***
*
*
3 or fewer
*
*
Harding County ***
*
*
3 or fewer
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*
Hyde County ***
*
*
3 or fewer
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*
Jackson County ***
*
*
3 or fewer
*
*
Jerauld County ***
*
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3 or fewer
*
*
Jones County ***
*
*
3 or fewer
*
*
Lyman County ***
*
*
3 or fewer
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*
Marshall County ***
*
*
3 or fewer
*
*
McPherson County ***
*
*
3 or fewer
*
*
Mellette County ***
*
*
3 or fewer
*
*
Miner County ***
*
*
3 or fewer
*
*
Moody County ***
*
*
3 or fewer
*
*
Perkins County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
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*
Sanborn County ***
*
*
3 or fewer
*
*
Spink County ***
*
*
3 or fewer
*
*
Stanley County ***
*
*
3 or fewer
*
*
Sully County ***
*
*
3 or fewer
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*
Tripp County ***
*
*
3 or fewer
*
*
Walworth County ***
*
*
3 or fewer
*
*
Ziebach County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/01/2022 1:34 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 for the following has been suppressed to ensure confidentiality and stability of estimates:
Aurora, Bennett, Bon Homme, Brule, Buffalo, Campbell, Clark, Corson, Deuel, Douglas, Edmunds, Faulk, Grant, Gregory, Haakon, Hand, Hanson, Harding, Hyde, Jackson, Jerauld, Jones, Lyman, Marshall, McPherson, Mellette, Miner, Moody, Perkins, Potter, Sanborn, Spink, Stanley, Sully, Tripp, Walworth, Ziebach

† 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 1969-2018 US Population Data File is used with mortality data.
* 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).


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.

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