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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 CI*Rank

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 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 N/A Yes 42.9 (41.0, 44.9) N/A 409 falling falling trend -1.5 (-1.8, -1.3)
United States N/A Yes 45.0 (44.9, 45.1) N/A 161,722 falling falling trend -2.1 (-2.4, -1.9)
Todd County Rural Yes 79.9 (52.2, 116.4) 1 (1, 16) 5
*
*
Dewey County Rural Yes 76.0 (44.1, 122.1) 2 (1, 23) 4 stable stable trend -1.0 (-3.1, 1.2)
Oglala Lakota County Rural Yes 71.8 (50.7, 98.3) 3 (1, 15) 8
*
*
Fall River County Rural Yes 61.4 (38.7, 95.6) 4 (1, 23) 6 stable stable trend -2.0 (-4.4, 0.2)
Hamlin County Rural Yes 58.3 (34.7, 93.0) 5 (1, 25) 4
*
*
Butte County Rural Yes 57.4 (39.5, 81.8) 6 (1, 23) 7 stable stable trend -0.6 (-2.1, 1.2)
Charles Mix County Rural Yes 56.9 (35.2, 87.1) 7 (1, 25) 5
*
*
Bon Homme County Rural Yes 49.8 (29.2, 80.8) 8 (1, 25) 4
*
*
Pennington County Urban Yes 49.2 (43.4, 55.7) 9 (4, 17) 60 falling falling trend -1.4 (-1.7, -1.0)
Custer County Urban Yes 47.0 (30.8, 73.0) 10 (2, 25) 7 falling falling trend -1.9 (-3.5, -0.1)
Minnehaha County Urban Yes 45.3 (41.1, 49.8) 11 (6, 19) 93 falling falling trend -1.7 (-2.2, -1.1)
Roberts County Rural Yes 45.2 (28.1, 69.5) 12 (2, 25) 5 stable stable trend -1.4 (-2.9, 0.1)
Meade County Urban Yes 44.4 (34.3, 56.7) 13 (4, 24) 15 falling falling trend -1.5 (-2.6, -0.3)
Codington County Rural Yes 43.3 (33.4, 55.5) 14 (5, 24) 14 falling falling trend -2.3 (-3.2, -1.4)
Brookings County Rural Yes 42.4 (31.8, 55.3) 15 (5, 25) 12 stable stable trend -1.2 (-2.5, 0.1)
Brown County Rural Yes 41.6 (32.7, 52.4) 16 (6, 24) 17 falling falling trend -1.8 (-2.8, -0.9)
Beadle County Rural Yes 39.7 (27.8, 55.2) 17 (5, 25) 8 falling falling trend -1.6 (-3.0, -0.1)
Davison County Rural Yes 38.7 (27.1, 53.8) 18 (5, 25) 8 stable stable trend -1.2 (-2.8, 0.6)
Lawrence County Rural Yes 37.5 (27.5, 50.4) 19 (7, 25) 11 falling falling trend -1.8 (-2.7, -0.8)
Hughes County Rural Yes 36.9 (25.3, 52.3) 20 (6, 25) 7 stable stable trend -1.4 (-2.7, 0.0)
Lincoln County Urban Yes 36.0 (29.5, 43.5) 21 (11, 25) 22
*
*
Union County Urban Yes 33.8 (22.4, 49.5) 22 (7, 25) 6 falling falling trend -1.9 (-3.4, -0.4)
Clay County Rural Yes 33.2 (19.0, 53.7) 23 (6, 25) 4 stable stable trend -1.9 (-4.0, 0.3)
Lake County Rural Yes 32.4 (18.6, 53.3) 24 (6, 25) 4 stable stable trend -1.1 (-3.2, 1.3)
Yankton County Rural Yes 32.0 (23.2, 43.5) 25 (11, 25) 10 falling falling trend -2.4 (-3.4, -1.3)
Aurora County Rural ***
*
*
3 or fewer
*
*
Bennett County Rural ***
*
*
3 or fewer
*
*
Brule County Rural ***
*
*
3 or fewer
*
*
Buffalo County Rural ***
*
*
3 or fewer
*
*
Campbell County Rural ***
*
*
3 or fewer
*
*
Clark County Rural ***
*
*
3 or fewer
*
*
Corson County Rural ***
*
*
3 or fewer
*
*
Day County Rural ***
*
*
3 or fewer
*
*
Deuel County Rural ***
*
*
3 or fewer
*
*
Douglas County Rural ***
*
*
3 or fewer
*
*
Edmunds County Rural ***
*
*
3 or fewer
*
*
Faulk County Rural ***
*
*
3 or fewer
*
*
Grant County Rural ***
*
*
3 or fewer
*
*
Gregory County Rural ***
*
*
3 or fewer
*
*
Haakon County Rural ***
*
*
3 or fewer
*
*
Hand County Rural ***
*
*
3 or fewer
*
*
Hanson County Rural ***
*
*
3 or fewer
*
*
Harding County Rural ***
*
*
3 or fewer
*
*
Hutchinson County Rural ***
*
*
3 or fewer
*
*
Hyde County Rural ***
*
*
3 or fewer
*
*
Jackson County Rural ***
*
*
3 or fewer
*
*
Jerauld County Rural ***
*
*
3 or fewer
*
*
Jones County Rural ***
*
*
3 or fewer
*
*
Kingsbury County Rural ***
*
*
3 or fewer
*
*
Lyman County Rural ***
*
*
3 or fewer
*
*
Marshall County Rural ***
*
*
3 or fewer
*
*
McCook County Urban ***
*
*
3 or fewer
*
*
McPherson County Rural ***
*
*
3 or fewer
*
*
Mellette County Rural ***
*
*
3 or fewer
*
*
Miner County Rural ***
*
*
3 or fewer
*
*
Moody County Rural ***
*
*
3 or fewer
*
*
Perkins County Rural ***
*
*
3 or fewer
*
*
Potter County Rural ***
*
*
3 or fewer
*
*
Sanborn County Rural ***
*
*
3 or fewer
*
*
Spink County Rural ***
*
*
3 or fewer
*
*
Stanley County Rural ***
*
*
3 or fewer
*
*
Sully County Rural ***
*
*
3 or fewer
*
*
Tripp County Rural ***
*
*
3 or fewer
*
*
Turner County Urban ***
*
*
3 or fewer
*
*
Walworth County Rural ***
*
*
3 or fewer
*
*
Ziebach County Rural ***
*
*
3 or fewer
*
*
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.
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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