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Death Rates Table

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Death Rate Report for South Dakota by County

Lung & Bronchus, 2016-2020

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 25.1?
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 36.2 (34.6, 37.9) N/A 408 falling falling trend -2.5 (-3.3, -1.7)
United States No 35.0 (34.9, 35.0) N/A 142,497 falling falling trend -4.8 (-5.1, -4.6)
Todd County No 74.4 (44.7, 114.3) 1 (1, 22) 4
*
*
Butte County No 57.9 (41.7, 79.0) 2 (1, 18) 9 stable stable trend -0.5 (-2.3, 1.3)
Hamlin County No 56.8 (33.9, 89.6) 3 (1, 29) 4
*
*
Meade County No 50.0 (39.5, 62.4) 4 (1, 18) 17 stable stable trend -0.6 (-1.7, 0.4)
Fall River County No 46.9 (31.8, 70.1) 5 (1, 28) 6 stable stable trend -0.7 (-2.7, 1.2)
Oglala Lakota/Shannon County No 44.8 (25.8, 71.2) 6 (1, 30) 4
*
*
Kingsbury County No 44.7 (26.7, 73.2) 7 (1, 30) 4 stable stable trend -0.3 (-2.4, 1.8)
McCook County No 44.4 (26.2, 72.1) 8 (1, 30) 4
*
*
Union County No 44.3 (32.4, 59.6) 9 (1, 26) 10 stable stable trend -0.9 (-2.2, 0.4)
Turner County No 43.6 (29.0, 64.5) 10 (1, 29) 6 stable stable trend -0.3 (-2.0, 1.3)
Minnehaha County No 43.6 (39.5, 48.1) 11 (4, 17) 87 falling falling trend -0.9 (-1.3, -0.5)
Davison County No 42.8 (32.6, 55.7) 12 (2, 25) 12 stable stable trend -0.2 (-1.6, 1.2)
Moody County No 41.6 (25.0, 66.7) 13 (1, 30) 4
*
*
Hughes County No 40.7 (29.7, 54.8) 14 (2, 28) 9 stable stable trend -0.9 (-2.2, 0.4)
Clay County No 40.5 (26.5, 59.6) 15 (2, 30) 5 falling falling trend -2.0 (-3.8, -0.1)
Codington County No 40.0 (31.5, 50.3) 16 (3, 25) 16 stable stable trend -0.5 (-1.6, 0.7)
Pennington County No 35.5 (31.2, 40.3) 17 (10, 24) 52 falling falling trend -1.8 (-2.4, -1.1)
Hutchinson County No 34.9 (20.4, 57.0) 18 (2, 30) 4 stable stable trend -0.7 (-2.8, 1.6)
Charles Mix County No 33.7 (21.3, 51.9) 19 (3, 30) 5 stable stable trend -1.7 (-3.6, 0.2)
Day County No 32.5 (18.7, 56.1) 20 (3, 30) 3 stable stable trend -1.3 (-3.4, 0.8)
Brown County No 31.0 (24.5, 39.0) 21 (11, 30) 16 falling falling trend -12.0 (-21.7, -1.1)
Brookings County No 30.6 (22.5, 40.7) 22 (9, 30) 10 stable stable trend -0.9 (-2.3, 0.6)
Grant County No 29.5 (17.4, 49.0) 23 (5, 30) 4 stable stable trend -1.2 (-2.8, 0.5)
Beadle County No 29.1 (20.4, 40.7) 24 (9, 30) 8 falling falling trend -1.6 (-2.9, -0.3)
Yankton County No 28.7 (20.8, 38.8) 25 (11, 30) 9 stable stable trend -1.2 (-2.6, 0.3)
Roberts County No 28.0 (17.2, 43.9) 26 (7, 30) 4 stable stable trend -1.3 (-2.8, 0.3)
Custer County No 27.9 (18.1, 44.4) 27 (8, 30) 5 falling falling trend -3.8 (-5.7, -1.9)
Lincoln County No 27.1 (21.3, 34.0) 28 (15, 30) 16 falling falling trend -5.7 (-8.9, -2.3)
Lawrence County No 26.8 (20.0, 35.6) 29 (14, 30) 11 falling falling trend -2.0 (-3.1, -1.0)
Lake County No 26.7 (17.1, 40.7) 30 (10, 30) 5 falling falling trend -5.4 (-9.0, -1.7)
Aurora County ***
*
*
3 or fewer
*
*
Bennett County ***
*
*
3 or fewer
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*
Bon Homme County ***
*
*
3 or fewer
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*
Brule County ***
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*
3 or fewer
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*
Buffalo County ***
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3 or fewer
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*
Campbell County ***
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3 or fewer
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*
Clark County ***
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3 or fewer
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Corson County ***
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3 or fewer
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Deuel County ***
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*
3 or fewer
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*
Dewey County ***
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*
3 or fewer
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*
Douglas County ***
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3 or fewer
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*
Edmunds County ***
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3 or fewer
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*
Faulk County ***
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*
3 or fewer
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*
Gregory County ***
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*
3 or fewer
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*
Haakon County ***
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3 or fewer
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*
Hand County ***
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3 or fewer
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*
Hanson County ***
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3 or fewer
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*
Harding County ***
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3 or fewer
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*
Hyde County ***
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*
3 or fewer
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*
Jackson County ***
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3 or fewer
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*
Jerauld County ***
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*
3 or fewer
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*
Jones County ***
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*
3 or fewer
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*
Lyman County ***
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*
3 or fewer
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*
Marshall County ***
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3 or fewer
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*
McPherson County ***
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*
3 or fewer
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*
Mellette County ***
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*
3 or fewer
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*
Miner County ***
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3 or fewer
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*
Perkins County ***
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*
3 or fewer
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*
Potter County ***
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3 or fewer
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*
Sanborn County ***
*
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3 or fewer
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*
Spink County ***
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*
3 or fewer
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*
Stanley County ***
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3 or fewer
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*
Sully County ***
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*
3 or fewer
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*
Tripp County ***
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*
3 or fewer
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*
Walworth County ***
*
*
3 or fewer
*
*
Ziebach County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 5:30 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 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.
* 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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