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Death Rates Table

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Death Rate Report for South Dakota by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 descending
South Dakota No 181.4 (176.0, 186.9) N/A 908 falling falling trend -1.3 (-1.5, -1.1)
United States No 177.5 (177.2, 177.8) N/A 315,770 falling falling trend -2.2 (-2.5, -2.0)
Hanson County No 362.8 (216.1, 562.5) 1 (1, 46) 5
*
*
Mellette County No 304.2 (174.7, 497.0) 2 (1, 51) 4
*
*
Miner County No 295.5 (182.0, 460.9) 3 (1, 50) 5
*
*
Todd County No 292.6 (205.4, 401.3) 4 (1, 38) 8
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*
Shannon County No 277.2 (196.9, 376.0) 5 (1, 40) 10 stable stable trend -1.1 (-2.5, 0.3)
Clark County No 265.4 (176.6, 385.7) 6 (1, 47) 6
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*
Hamlin County No 255.9 (184.6, 346.1) 7 (1, 44) 9 stable stable trend 0.0 (-1.2, 1.3)
Fall River County No 246.3 (188.1, 320.8) 8 (1, 40) 15 stable stable trend -0.8 (-1.8, 0.2)
Jackson County No 241.0 (147.5, 372.9) 9 (1, 52) 4 stable stable trend -0.5 (-2.5, 1.6)
Dewey County No 238.6 (151.2, 355.4) 10 (1, 52) 5 stable stable trend -0.9 (-2.3, 0.5)
Butte County No 231.4 (182.8, 290.2) 11 (2, 38) 17 stable stable trend -0.7 (-2.0, 0.5)
Clay County No 224.6 (170.5, 290.0) 12 (2, 45) 13 stable stable trend -0.8 (-2.2, 0.7)
Bennett County No 224.3 (130.1, 359.5) 13 (1, 52) 4
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*
McCook County No 221.8 (155.1, 308.8) 14 (1, 50) 7 stable stable trend 0.6 (-1.2, 2.3)
Lyman County No 216.1 (137.6, 324.7) 15 (1, 52) 5
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*
Minnehaha County No 210.7 (196.4, 225.8) 16 (9, 29) 178 falling falling trend -0.9 (-1.2, -0.6)
Aurora County No 206.2 (130.3, 318.5) 17 (2, 52) 5
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*
Day County No 205.1 (146.2, 283.5) 18 (3, 50) 9 stable stable trend -1.4 (-2.7, 0.0)
Kingsbury County No 205.1 (147.6, 282.6) 19 (3, 50) 9 stable stable trend -0.9 (-2.0, 0.2)
Corson County No 204.4 (113.4, 335.5) 20 (1, 52) 3 stable stable trend -38.2 (-63.4, 4.4)
Stanley County No 202.2 (126.5, 312.3) 21 (1, 52) 5
*
*
Roberts County No 194.5 (149.0, 250.6) 22 (5, 49) 13 falling falling trend -1.5 (-2.6, -0.4)
Meade County No 192.8 (161.9, 228.0) 23 (8, 44) 30 falling falling trend -1.8 (-2.9, -0.8)
Charles Mix County No 191.2 (144.6, 249.3) 24 (6, 50) 12 stable stable trend -1.3 (-2.6, 0.1)
Codington County No 189.0 (160.4, 221.3) 25 (10, 45) 32 falling falling trend -1.5 (-2.1, -0.8)
Hutchinson County No 188.2 (137.6, 253.2) 26 (5, 51) 10 falling falling trend -1.9 (-3.2, -0.5)
Perkins County No 188.0 (121.1, 290.2) 27 (2, 52) 5 stable stable trend 0.4 (-1.3, 2.1)
Deuel County No 186.4 (125.8, 270.4) 28 (3, 52) 6 falling falling trend -2.0 (-3.4, -0.6)
Union County No 186.3 (148.1, 231.7) 29 (7, 50) 17 falling falling trend -1.5 (-2.6, -0.4)
Davison County No 183.1 (150.6, 221.0) 30 (9, 48) 23 falling falling trend -1.7 (-2.7, -0.8)
Turner County No 181.8 (134.9, 241.4) 31 (6, 51) 11 falling falling trend -1.5 (-2.3, -0.6)
Brown County No 181.5 (156.9, 209.0) 32 (13, 45) 41 falling falling trend -1.5 (-2.2, -0.9)
Grant County No 181.4 (133.0, 243.9) 33 (6, 51) 10 stable stable trend -1.0 (-2.1, 0.2)
Pennington County No 181.3 (166.5, 197.1) 34 (17, 41) 119 falling falling trend -1.5 (-2.0, -1.0)
Gregory County No 180.4 (121.8, 263.1) 35 (4, 52) 6 stable stable trend -0.1 (-1.7, 1.4)
Beadle County No 179.9 (145.8, 220.0) 36 (10, 48) 20 falling falling trend -1.5 (-2.3, -0.7)
Bon Homme County No 169.4 (123.0, 229.3) 37 (8, 52) 9 stable stable trend -0.9 (-2.3, 0.6)
Moody County No 168.3 (113.7, 240.9) 38 (6, 52) 6 stable stable trend -0.8 (-2.2, 0.5)
Spink County No 164.3 (113.6, 232.1) 39 (7, 52) 8 stable stable trend -1.3 (-2.9, 0.3)
Custer County No 163.6 (126.4, 213.1) 40 (12, 52) 15 stable stable trend -0.8 (-2.0, 0.5)
Hughes County No 161.0 (128.0, 200.3) 41 (15, 51) 17 stable stable trend -0.7 (-2.0, 0.5)
McPherson County No 155.1 (93.9, 260.2) 42 (6, 52) 4 stable stable trend -1.2 (-10.1, 8.7)
Brookings County No 154.2 (126.8, 185.6) 43 (20, 51) 23 falling falling trend -1.3 (-2.0, -0.5)
Lake County No 149.4 (111.7, 196.4) 44 (15, 52) 12 falling falling trend -1.7 (-2.7, -0.7)
Walworth County No 145.1 (98.2, 210.7) 45 (12, 52) 7 falling falling trend -1.9 (-3.3, -0.4)
Lawrence County No 144.6 (119.9, 173.4) 46 (27, 52) 25 falling falling trend -1.5 (-2.2, -0.8)
Tripp County No 139.2 (94.0, 202.8) 47 (13, 52) 6 falling falling trend -2.0 (-3.8, -0.3)
Lincoln County No 138.1 (118.2, 160.4) 48 (33, 52) 36 falling falling trend -3.7 (-5.2, -2.1)
Brule County No 138.1 (86.0, 212.3) 49 (10, 52) 5 falling falling trend -1.7 (-3.3, -0.1)
Yankton County No 133.1 (107.8, 163.1) 50 (32, 52) 20 falling falling trend -1.8 (-2.7, -0.9)
Hand County No 127.1 (76.5, 210.0) 51 (13, 52) 4 falling falling trend -2.0 (-3.5, -0.4)
Marshall County Yes 112.7 (68.8, 177.4) 52 (22, 52) 4 falling falling trend -1.8 (-3.1, -0.5)
Buffalo County ***
*
*
3 or fewer
*
*
Campbell County ***
*
*
3 or fewer
*
*
Douglas County ***
*
*
3 or fewer
*
*
Edmunds County ***
*
*
3 or fewer
*
*
Faulk County ***
*
*
3 or fewer
*
*
Haakon County ***
*
*
3 or fewer
*
*
Harding County ***
*
*
3 or fewer
*
*
Hyde County ***
*
*
3 or fewer
*
*
Jerauld County ***
*
*
3 or fewer
*
*
Jones County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Sanborn County ***
*
*
3 or fewer
*
*
Sully County ***
*
*
3 or fewer
*
*
Ziebach County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/02/2022 11:39 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 2030 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 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 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).


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.

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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