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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), Female, All Ages

Sorted by CI*Rank
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 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 descending
South Dakota No 132.4 (128.2, 136.8) N/A 794 falling falling trend -0.7 (-0.9, -0.5)
United States No 128.7 (128.5, 129.0) N/A 283,896 falling falling trend -1.9 (-2.2, -1.7)
Hanson County No 267.3 (160.8, 416.1) 1 (1, 41) 4
*
*
Todd County No 232.1 (161.3, 320.9) 2 (1, 31) 8
*
*
Haakon County No 208.2 (112.8, 366.4) 3 (1, 50) 4
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*
Corson County No 202.4 (119.9, 319.0) 4 (1, 49) 4 stable stable trend 0.8 (-1.7, 3.3)
McCook County No 197.2 (142.1, 270.2) 5 (1, 36) 9 stable stable trend 0.7 (-0.7, 2.2)
Fall River County No 178.5 (133.7, 238.8) 6 (1, 38) 12 stable stable trend 0.5 (-0.8, 1.8)
Oglala Lakota/Shannon County No 176.1 (124.1, 240.9) 7 (1, 45) 9 falling falling trend -1.9 (-3.1, -0.7)
Jackson County No 174.7 (96.9, 291.2) 8 (1, 50) 3
*
*
Dewey County No 169.6 (104.7, 258.8) 9 (1, 50) 4 stable stable trend -1.1 (-2.7, 0.6)
Butte County No 160.7 (121.8, 209.6) 10 (2, 43) 12 stable stable trend -0.6 (-2.2, 1.1)
Meade County No 157.5 (130.9, 188.1) 11 (4, 36) 26 stable stable trend 0.2 (-0.9, 1.3)
Aurora County No 155.1 (88.1, 262.4) 12 (1, 50) 4 stable stable trend 0.6 (-1.7, 2.9)
Deuel County No 153.9 (99.3, 233.6) 13 (1, 50) 6
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*
Hughes County No 153.8 (123.0, 190.6) 14 (4, 42) 18 stable stable trend 0.7 (-0.7, 2.0)
Lyman County No 153.7 (91.3, 246.8) 15 (1, 50) 4
*
*
Minnehaha County No 150.6 (140.0, 161.8) 16 (8, 28) 161 falling falling trend -0.5 (-0.9, -0.1)
Union County No 147.5 (116.6, 185.0) 17 (4, 44) 17 stable stable trend -0.9 (-2.1, 0.2)
Charles Mix County No 146.8 (104.1, 201.7) 18 (2, 48) 10 stable stable trend 0.5 (-0.9, 1.9)
Clay County No 142.4 (105.4, 189.2) 19 (4, 48) 10 stable stable trend -0.7 (-1.9, 0.5)
Tripp County No 137.9 (93.3, 201.4) 20 (3, 50) 7 stable stable trend -0.7 (-2.3, 0.9)
Bon Homme County No 137.1 (91.3, 202.0) 21 (3, 50) 7 stable stable trend 0.7 (-1.2, 2.6)
Edmunds County No 136.6 (83.8, 217.3) 22 (2, 50) 4 stable stable trend -1.7 (-3.5, 0.2)
Marshall County No 136.2 (82.5, 215.3) 23 (2, 50) 5 stable stable trend 0.9 (-1.3, 3.1)
Turner County No 135.9 (98.2, 185.7) 24 (4, 50) 9 stable stable trend -0.9 (-2.4, 0.6)
Perkins County No 135.9 (78.4, 231.2) 25 (2, 50) 4 stable stable trend 0.8 (-1.8, 3.4)
Hamlin County No 135.5 (86.9, 203.3) 26 (3, 50) 6 stable stable trend -0.2 (-2.1, 1.8)
Codington County No 134.4 (112.8, 159.5) 27 (9, 44) 29 stable stable trend -0.7 (-1.5, 0.1)
Beadle County No 134.1 (105.3, 168.9) 28 (6, 48) 17 stable stable trend -0.9 (-1.9, 0.1)
Walworth County No 129.8 (90.0, 187.5) 29 (4, 50) 7 stable stable trend -1.5 (-3.0, 0.0)
Gregory County No 128.6 (84.4, 197.6) 30 (4, 50) 6 stable stable trend -1.2 (-2.4, 0.0)
Douglas County No 128.3 (69.1, 227.4) 31 (2, 50) 4 stable stable trend 0.5 (-1.9, 2.9)
Pennington County No 128.3 (116.8, 140.6) 32 (17, 41) 100 falling falling trend -1.2 (-1.7, -0.8)
Spink County No 127.2 (86.5, 184.0) 33 (5, 50) 7 stable stable trend -1.5 (-3.0, 0.0)
Lawrence County No 125.1 (102.5, 151.8) 34 (12, 47) 26 falling falling trend -1.0 (-1.9, -0.1)
Davison County Yes 122.6 (97.9, 152.5) 35 (10, 49) 20 stable stable trend -0.9 (-1.8, 0.1)
Brule County Yes 122.5 (77.5, 187.9) 36 (4, 50) 6
*
*
Grant County Yes 119.1 (83.9, 168.4) 37 (7, 50) 8 stable stable trend -0.5 (-1.9, 0.9)
Clark County Yes 117.6 (64.0, 204.0) 38 (3, 50) 4 stable stable trend -0.4 (-2.3, 1.6)
Custer County Yes 115.1 (83.7, 159.5) 39 (10, 50) 10 falling falling trend -2.2 (-3.5, -0.8)
Brookings County Yes 111.8 (89.8, 137.6) 40 (17, 50) 19 stable stable trend -0.7 (-1.6, 0.3)
Moody County Yes 110.7 (71.1, 167.1) 41 (6, 50) 5 stable stable trend 1.1 (-0.7, 3.0)
Lake County Yes 109.8 (80.3, 148.3) 42 (12, 50) 11 stable stable trend -1.2 (-2.6, 0.3)
Yankton County Yes 108.4 (87.8, 133.2) 43 (20, 50) 21 stable stable trend -1.1 (-2.3, 0.0)
Roberts County Yes 108.1 (77.1, 149.1) 44 (11, 50) 9 stable stable trend -0.9 (-2.2, 0.4)
Brown County Yes 107.0 (89.7, 127.0) 45 (24, 50) 31 stable stable trend -0.8 (-1.7, 0.0)
Kingsbury County Yes 104.4 (65.7, 164.0) 46 (8, 50) 5 stable stable trend -1.3 (-3.0, 0.4)
Potter County Yes 100.0 (53.6, 197.7) 47 (5, 50) 3
*
*
Lincoln County Yes 96.9 (81.8, 114.0) 48 (30, 50) 31 falling falling trend -1.8 (-2.9, -0.6)
Hutchinson County Yes 96.3 (66.0, 139.9) 49 (15, 50) 8 stable stable trend -1.2 (-2.7, 0.3)
Day County Yes 95.1 (62.6, 146.6) 50 (14, 50) 6 stable stable trend -1.4 (-2.8, 0.0)
Bennett County ***
*
*
3 or fewer
*
*
Buffalo County ***
*
*
3 or fewer
*
*
Campbell County ***
*
*
3 or fewer
*
*
Faulk County ***
*
*
3 or fewer
*
*
Hand County ***
*
*
3 or fewer
*
*
Harding County ***
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*
3 or fewer
*
*
Hyde 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
*
*
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 07/20/2024 11:58 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). This website will use Oglala Lakota/Shannon until the next incidence/mortality 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.

* 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.
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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