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Death Rates Table

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Death Rate Report for South Dakota by County

All Cancer Sites, 2018-2022

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

Sorted by Rate

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
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 N/A No 888.5 (866.6, 910.8) N/A 1,299 falling falling trend -1.0 (-1.5, -0.8)
United States N/A No 844.0 (842.9, 845.1) N/A 441,232 falling falling trend -1.6 (-1.8, -1.5)
Hanson County Rural No 2,003.3 (1,300.4, 2,925.3) 1 (1, 30) 6 rising rising trend 3.1 (1.4, 4.9)
Mellette County Rural No 1,813.7 (1,149.4, 2,722.0) 2 (1, 37) 5
*
*
Todd County Rural No 1,707.7 (1,222.5, 2,316.2) 3 (1, 25) 9 stable stable trend -0.3 (-1.7, 1.1)
Dewey County Rural No 1,340.1 (901.1, 1,917.5) 4 (1, 52) 6 stable stable trend 0.0 (-1.5, 1.5)
Oglala Lakota County Rural No 1,314.0 (968.5, 1,740.3) 5 (1, 43) 11
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*
Lyman County Rural No 1,301.5 (927.3, 1,776.1) 6 (1, 47) 8
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*
McCook County Urban No 1,286.0 (988.8, 1,643.9) 7 (1, 38) 13 stable stable trend 0.6 (-0.6, 1.8)
Jackson County Rural No 1,243.1 (791.3, 1,863.0) 8 (1, 58) 5 stable stable trend -0.4 (-2.2, 1.6)
Aurora County Rural No 1,155.0 (799.6, 1,615.9) 9 (2, 55) 7 stable stable trend 0.0 (-2.0, 1.8)
Corson County Rural No 1,134.5 (706.4, 1,724.2) 10 (1, 59) 5 stable stable trend -0.7 (-2.1, 0.7)
Faulk County Rural No 1,121.4 (744.6, 1,620.5) 11 (1, 58) 6
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*
Minnehaha County Urban No 1,083.0 (1,022.7, 1,145.9) 12 (7, 22) 258 stable stable trend -0.3 (-0.6, 0.0)
Perkins County Rural No 1,058.3 (738.7, 1,467.4) 13 (2, 58) 7 stable stable trend 1.0 (-0.8, 2.8)
Hughes County Rural No 1,050.5 (888.3, 1,233.3) 14 (5, 39) 31 stable stable trend 0.3 (-0.6, 1.4)
Clay County Rural No 1,042.2 (838.5, 1,280.5) 15 (4, 48) 19 stable stable trend -0.4 (-1.3, 0.6)
Sanborn County Rural No 1,031.5 (653.7, 1,550.6) 16 (2, 59) 5 stable stable trend -0.5 (-2.3, 1.2)
Butte County Rural No 1,018.5 (823.0, 1,246.2) 17 (5, 49) 19 stable stable trend -0.4 (-1.9, 1.1)
Hamlin County Rural No 1,004.7 (725.6, 1,354.8) 18 (3, 57) 9 stable stable trend 0.1 (-1.0, 1.1)
Walworth County Rural No 986.9 (752.3, 1,271.1) 19 (4, 56) 12 stable stable trend -1.0 (-2.3, 0.2)
Hutchinson County Rural No 982.9 (779.0, 1,224.2) 20 (6, 53) 17 stable stable trend -0.6 (-1.7, 0.4)
Fall River County Rural No 967.1 (777.5, 1,188.3) 21 (6, 53) 18 falling falling trend -1.0 (-2.4, -0.3)
Union County Urban No 953.6 (798.9, 1,129.3) 22 (7, 49) 28 falling falling trend -1.2 (-2.0, -0.4)
Haakon County Rural No 951.7 (593.0, 1,446.3) 23 (3, 59) 4 stable stable trend -1.2 (-3.2, 0.7)
Grant County Rural No 937.7 (737.2, 1,175.3) 24 (6, 56) 16 stable stable trend -0.4 (-1.3, 0.5)
Roberts County Rural No 901.6 (720.1, 1,114.4) 25 (8, 55) 17 falling falling trend -1.1 (-2.1, -0.2)
Lake County Rural No 896.3 (713.9, 1,109.9) 26 (8, 56) 18 stable stable trend -0.7 (-2.1, 0.5)
Meade County Urban No 893.2 (770.4, 1,030.0) 27 (11, 50) 40 falling falling trend -1.0 (-1.8, -0.1)
Miner County Rural No 884.8 (543.5, 1,356.5) 28 (3, 59) 4 stable stable trend -0.1 (-1.6, 1.3)
Pennington County Urban No 875.3 (815.1, 938.6) 29 (18, 43) 166 falling falling trend -1.0 (-1.5, -0.5)
Moody County Rural No 864.7 (642.2, 1,138.5) 30 (7, 58) 10 stable stable trend 0.4 (-1.1, 1.9)
Codington County Rural No 855.5 (744.8, 978.0) 31 (15, 53) 44 stable stable trend -0.6 (-1.3, 0.0)
Deuel County Rural No 844.0 (597.4, 1,158.2) 32 (6, 59) 8 stable stable trend -0.3 (-1.6, 0.9)
Gregory County Rural No 838.9 (601.1, 1,138.7) 33 (7, 59) 9 stable stable trend -0.1 (-1.4, 1.0)
Beadle County Rural No 827.4 (695.5, 977.1) 34 (14, 56) 29 falling falling trend -1.0 (-1.8, -0.3)
Hand County Rural No 819.9 (561.4, 1,157.6) 35 (6, 59) 7
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*
Bon Homme County Rural No 817.6 (621.2, 1,056.2) 36 (10, 59) 13 stable stable trend 0.4 (-1.2, 1.9)
Clark County Rural No 815.0 (566.9, 1,134.2) 37 (7, 59) 7 stable stable trend -0.2 (-1.7, 1.2)
Brookings County Rural No 805.0 (688.4, 935.6) 38 (17, 56) 35 stable stable trend -0.7 (-1.3, 0.1)
Brown County Rural No 804.7 (710.1, 908.5) 39 (21, 54) 54 falling falling trend -0.7 (-1.3, -0.1)
Day County Rural No 803.5 (613.3, 1,035.5) 40 (11, 59) 12 falling falling trend -1.3 (-2.4, -0.3)
Lawrence County Rural No 801.8 (697.3, 917.3) 41 (19, 56) 44 falling falling trend -1.1 (-1.8, -0.3)
Jerauld County Rural No 800.9 (480.9, 1,255.4) 42 (4, 59) 4
*
*
Turner County Urban No 797.6 (624.5, 1,003.8) 43 (12, 58) 15 falling falling trend -1.2 (-2.1, -0.4)
Marshall County Rural No 777.8 (537.4, 1,087.6) 44 (8, 59) 7 stable stable trend -0.2 (-1.6, 1.1)
Kingsbury County Rural No 767.0 (553.4, 1,034.9) 45 (9, 59) 9 stable stable trend -0.8 (-1.9, 0.2)
Charles Mix County Rural No 765.5 (588.8, 978.5) 46 (13, 59) 13 stable stable trend -0.9 (-2.2, 0.4)
Custer County Urban No 764.5 (608.4, 947.7) 47 (15, 59) 18 stable stable trend -1.2 (-2.3, 0.1)
Bennett County Rural No 759.7 (437.3, 1,224.0) 48 (5, 59) 3 stable stable trend -1.0 (-3.0, 1.1)
Davison County Rural No 759.4 (639.9, 894.5) 49 (21, 58) 30 falling falling trend -1.4 (-2.1, -0.7)
Potter County Rural No 745.6 (486.3, 1,095.2) 50 (8, 59) 5 stable stable trend -1.1 (-2.7, 0.3)
Yankton County Rural No 721.6 (615.6, 840.8) 51 (26, 58) 34 falling falling trend -1.0 (-1.8, -0.1)
Edmunds County Rural No 686.9 (462.9, 980.7) 52 (11, 59) 6 stable stable trend -1.4 (-3.2, 0.0)
Tripp County Rural No 665.9 (485.5, 892.1) 53 (19, 59) 9 falling falling trend -1.7 (-2.9, -0.6)
Spink County Rural No 656.3 (482.8, 872.6) 54 (19, 59) 10 falling falling trend -1.6 (-2.6, -0.6)
Stanley County Rural No 655.0 (398.8, 1,013.3) 55 (10, 59) 4
*
*
Lincoln County Urban No 645.4 (569.8, 728.1) 56 (40, 59) 55 stable stable trend -1.5 (-3.8, 5.3)
McPherson County Rural No 636.4 (401.3, 959.1) 57 (13, 59) 5 stable stable trend -1.1 (-3.4, 0.7)
Brule County Rural No 628.6 (432.4, 886.1) 58 (19, 59) 7 falling falling trend -1.6 (-2.9, -0.4)
Douglas County Rural No 625.2 (388.1, 954.6) 59 (14, 59) 5 stable stable trend -1.7 (-3.8, 0.0)
Buffalo County Rural ***
*
*
3 or fewer
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*
Campbell County Rural ***
*
*
3 or fewer
*
*
Harding County Rural ***
*
*
3 or fewer
*
*
Hyde County Rural ***
*
*
3 or fewer
*
*
Jones County Rural ***
*
*
3 or fewer
*
*
Sully County Rural ***
*
*
3 or fewer
*
*
Ziebach County Rural ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/06/2024 12:49 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 now uses Oglala Lakota.

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.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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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