Death Rates Table
Death Rate Report for South Dakota by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, Ages 65+
Sorted by Name
County
|
2023 Rural-Urban Continuum Codes Φ
|
Met Healthy People Objective of 122.7? |
Age-Adjusted Death Rate † deaths per 100,000 (95% Confidence Interval)
|
CI*Rank ⋔ (95% Confidence Interval)
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend ‡ in Death Rates (95% Confidence Interval)
|
|---|---|---|---|---|---|---|---|
| South Dakota | N/A | No | 888.5 (866.6, 910.8) | N/A | 1,299 |
falling 
|
-1.0 (-1.5, -0.8) |
| United States | N/A | No | 844.0 (842.9, 845.1) | N/A | 441,232 |
falling
|
-1.6 (-1.8, -1.5) |
| Yankton County | Rural | No | 721.6 (615.6, 840.8) | 51 (26, 58) | 34 |
falling
|
-1.0 (-1.8, -0.1) |
| Walworth County | Rural | No | 986.9 (752.3, 1,271.1) | 19 (4, 56) | 12 |
stable 
|
-1.0 (-2.3, 0.2) |
| Union County | Urban | No | 953.6 (798.9, 1,129.3) | 22 (7, 49) | 28 |
falling
|
-1.2 (-2.0, -0.4) |
| Turner County | Urban | No | 797.6 (624.5, 1,003.8) | 43 (12, 58) | 15 |
falling
|
-1.2 (-2.1, -0.4) |
| Tripp County | Rural | No | 665.9 (485.5, 892.1) | 53 (19, 59) | 9 |
falling
|
-1.7 (-2.9, -0.6) |
| Todd County | Rural | No | 1,707.7 (1,222.5, 2,316.2) | 3 (1, 25) | 9 |
stable
|
-0.3 (-1.7, 1.1) |
| Stanley County | Rural | No | 655.0 (398.8, 1,013.3) | 55 (10, 59) | 4 |
|
|
| Spink County | Rural | No | 656.3 (482.8, 872.6) | 54 (19, 59) | 10 |
falling
|
-1.6 (-2.6, -0.6) |
| Sanborn County | Rural | No | 1,031.5 (653.7, 1,550.6) | 16 (2, 59) | 5 |
stable
|
-0.5 (-2.3, 1.2) |
| Roberts County | Rural | No | 901.6 (720.1, 1,114.4) | 25 (8, 55) | 17 |
falling
|
-1.1 (-2.1, -0.2) |
| Potter County | Rural | No | 745.6 (486.3, 1,095.2) | 50 (8, 59) | 5 |
stable
|
-1.1 (-2.7, 0.3) |
| Perkins County | Rural | No | 1,058.3 (738.7, 1,467.4) | 13 (2, 58) | 7 |
stable
|
1.0 (-0.8, 2.8) |
| Pennington County | Urban | No | 875.3 (815.1, 938.6) | 29 (18, 43) | 166 |
falling
|
-1.0 (-1.5, -0.5) |
| Oglala Lakota County | Rural | No | 1,314.0 (968.5, 1,740.3) | 5 (1, 43) | 11 |
|
|
| Moody County | Rural | No | 864.7 (642.2, 1,138.5) | 30 (7, 58) | 10 |
stable
|
0.4 (-1.1, 1.9) |
| Minnehaha County | Urban | No | 1,083.0 (1,022.7, 1,145.9) | 12 (7, 22) | 258 |
stable
|
-0.3 (-0.6, 0.0) |
| Miner County | Rural | No | 884.8 (543.5, 1,356.5) | 28 (3, 59) | 4 |
stable
|
-0.1 (-1.6, 1.3) |
| Mellette County | Rural | No | 1,813.7 (1,149.4, 2,722.0) | 2 (1, 37) | 5 |
|
|
| Meade County | Urban | No | 893.2 (770.4, 1,030.0) | 27 (11, 50) | 40 |
falling
|
-1.0 (-1.8, -0.1) |
| McPherson County | Rural | No | 636.4 (401.3, 959.1) | 57 (13, 59) | 5 |
stable
|
-1.1 (-3.4, 0.7) |
| McCook County | Urban | No | 1,286.0 (988.8, 1,643.9) | 7 (1, 38) | 13 |
stable
|
0.6 (-0.6, 1.8) |
| Marshall County | Rural | No | 777.8 (537.4, 1,087.6) | 44 (8, 59) | 7 |
stable
|
-0.2 (-1.6, 1.1) |
| Lyman County | Rural | No | 1,301.5 (927.3, 1,776.1) | 6 (1, 47) | 8 |
|
|
| Lincoln County | Urban | No | 645.4 (569.8, 728.1) | 56 (40, 59) | 55 |
stable
|
-1.5 (-3.8, 5.3) |
| Lawrence County | Rural | No | 801.8 (697.3, 917.3) | 41 (19, 56) | 44 |
falling
|
-1.1 (-1.8, -0.3) |
| Lake County | Rural | No | 896.3 (713.9, 1,109.9) | 26 (8, 56) | 18 |
stable
|
-0.7 (-2.1, 0.5) |
| Kingsbury County | Rural | No | 767.0 (553.4, 1,034.9) | 45 (9, 59) | 9 |
stable
|
-0.8 (-1.9, 0.2) |
| Jerauld County | Rural | No | 800.9 (480.9, 1,255.4) | 42 (4, 59) | 4 |
|
|
| Jackson County | Rural | No | 1,243.1 (791.3, 1,863.0) | 8 (1, 58) | 5 |
stable
|
-0.4 (-2.2, 1.6) |
| Hutchinson County | Rural | No | 982.9 (779.0, 1,224.2) | 20 (6, 53) | 17 |
stable
|
-0.6 (-1.7, 0.4) |
| Hughes County | Rural | No | 1,050.5 (888.3, 1,233.3) | 14 (5, 39) | 31 |
stable
|
0.3 (-0.6, 1.4) |
| Hanson County | Rural | No | 2,003.3 (1,300.4, 2,925.3) | 1 (1, 30) | 6 |
rising 
|
3.1 (1.4, 4.9) |
| Hand County | Rural | No | 819.9 (561.4, 1,157.6) | 35 (6, 59) | 7 |
|
|
| Hamlin County | Rural | No | 1,004.7 (725.6, 1,354.8) | 18 (3, 57) | 9 |
stable
|
0.1 (-1.0, 1.1) |
| Haakon County | Rural | No | 951.7 (593.0, 1,446.3) | 23 (3, 59) | 4 |
stable
|
-1.2 (-3.2, 0.7) |
| Gregory County | Rural | No | 838.9 (601.1, 1,138.7) | 33 (7, 59) | 9 |
stable
|
-0.1 (-1.4, 1.0) |
| Grant County | Rural | No | 937.7 (737.2, 1,175.3) | 24 (6, 56) | 16 |
stable
|
-0.4 (-1.3, 0.5) |
| Faulk County | Rural | No | 1,121.4 (744.6, 1,620.5) | 11 (1, 58) | 6 |
|
|
| Fall River County | Rural | No | 967.1 (777.5, 1,188.3) | 21 (6, 53) | 18 |
falling
|
-1.0 (-2.4, -0.3) |
| Edmunds County | Rural | No | 686.9 (462.9, 980.7) | 52 (11, 59) | 6 |
stable
|
-1.4 (-3.2, 0.0) |
| Douglas County | Rural | No | 625.2 (388.1, 954.6) | 59 (14, 59) | 5 |
stable
|
-1.7 (-3.8, 0.0) |
| Dewey County | Rural | No | 1,340.1 (901.1, 1,917.5) | 4 (1, 52) | 6 |
stable
|
0.0 (-1.5, 1.5) |
| Deuel County | Rural | No | 844.0 (597.4, 1,158.2) | 32 (6, 59) | 8 |
stable
|
-0.3 (-1.6, 0.9) |
| Day County | Rural | No | 803.5 (613.3, 1,035.5) | 40 (11, 59) | 12 |
falling
|
-1.3 (-2.4, -0.3) |
| Davison County | Rural | No | 759.4 (639.9, 894.5) | 49 (21, 58) | 30 |
falling
|
-1.4 (-2.1, -0.7) |
| Custer County | Urban | No | 764.5 (608.4, 947.7) | 47 (15, 59) | 18 |
stable
|
-1.2 (-2.3, 0.1) |
| Corson County | Rural | No | 1,134.5 (706.4, 1,724.2) | 10 (1, 59) | 5 |
stable
|
-0.7 (-2.1, 0.7) |
| Codington County | Rural | No | 855.5 (744.8, 978.0) | 31 (15, 53) | 44 |
stable
|
-0.6 (-1.3, 0.0) |
| Clay County | Rural | No | 1,042.2 (838.5, 1,280.5) | 15 (4, 48) | 19 |
stable
|
-0.4 (-1.3, 0.6) |
| Clark County | Rural | No | 815.0 (566.9, 1,134.2) | 37 (7, 59) | 7 |
stable
|
-0.2 (-1.7, 1.2) |
| Charles Mix County | Rural | No | 765.5 (588.8, 978.5) | 46 (13, 59) | 13 |
stable
|
-0.9 (-2.2, 0.4) |
| Butte County | Rural | No | 1,018.5 (823.0, 1,246.2) | 17 (5, 49) | 19 |
stable
|
-0.4 (-1.9, 1.1) |
| Brule County | Rural | No | 628.6 (432.4, 886.1) | 58 (19, 59) | 7 |
falling
|
-1.6 (-2.9, -0.4) |
| Brown County | Rural | No | 804.7 (710.1, 908.5) | 39 (21, 54) | 54 |
falling
|
-0.7 (-1.3, -0.1) |
| Brookings County | Rural | No | 805.0 (688.4, 935.6) | 38 (17, 56) | 35 |
stable
|
-0.7 (-1.3, 0.1) |
| Bon Homme County | Rural | No | 817.6 (621.2, 1,056.2) | 36 (10, 59) | 13 |
stable
|
0.4 (-1.2, 1.9) |
| Bennett County | Rural | No | 759.7 (437.3, 1,224.0) | 48 (5, 59) | 3 |
stable
|
-1.0 (-3.0, 1.1) |
| Beadle County | Rural | No | 827.4 (695.5, 977.1) | 34 (14, 56) | 29 |
falling
|
-1.0 (-1.8, -0.3) |
| Aurora County | Rural | No | 1,155.0 (799.6, 1,615.9) | 9 (2, 55) | 7 |
stable
|
0.0 (-2.0, 1.8) |
| Buffalo County | Rural | *** |
|
|
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|
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| Campbell County | Rural | *** |
|
|
|
|
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| Harding County | Rural | *** |
|
|
|
|
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| Hyde County | Rural | *** |
|
|
|
|
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| Jones County | Rural | *** |
|
|
|
|
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| Sully County | Rural | *** |
|
|
|
|
|
| Ziebach County | Rural | *** |
|
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 10/22/2024 4:00 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). This website now uses Oglala Lakota.
State Cancer Registries may provide more current or more local data.
† 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.
Created by statecancerprofiles.cancer.gov on 10/22/2024 4:00 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). 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.
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.