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Death Rates Table

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Death Rate Report for South Dakota by County

Lung & Bronchus, 2018-2022

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

Sorted by Name
County
sort alphabetically by name ascending 		2023 Rural-Urban Continuum Codes Φ
sort by rural urban descending 		Met Healthy People Objective of 25.1?
 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 No 34.0 (32.5, 35.6) N/A 395 falling falling trend -3.3 (-5.5, -1.4)
United States N/A No 32.4 (32.3, 32.5) N/A 136,831 falling falling trend -4.3 (-4.4, -4.1)
Yankton County Rural No 25.7 (18.7, 34.9) 27 (10, 30) 9 falling falling trend -11.1 (-32.1, -1.8)
Union County Urban No 31.1 (21.8, 43.6) 21 (5, 30) 8 stable stable trend -1.5 (-3.1, 0.4)
Turner County Urban No 34.5 (22.1, 52.7) 12 (3, 30) 5 stable stable trend -0.9 (-2.9, 1.1)
Todd County Rural No 76.3 (42.0, 123.9) 1 (1, 24) 3
*
*
Roberts County Rural No 34.2 (22.2, 51.3) 14 (3, 30) 5 stable stable trend -1.3 (-2.8, 0.3)
Pennington County Urban No 33.4 (29.2, 38.0) 16 (8, 24) 51 falling falling trend -1.8 (-2.4, -1.1)
Oglala Lakota County Rural No 53.1 (29.5, 85.9) 4 (1, 29) 4
*
*
Moody County Rural No 34.1 (19.4, 57.4) 15 (2, 30) 3
*
*
Minnehaha County Urban No 43.2 (39.1, 47.6) 6 (3, 13) 88 falling falling trend -1.8 (-5.8, -1.1)
Meade County Urban No 36.8 (28.2, 47.2) 10 (4, 27) 13 falling falling trend -16.7 (-30.8, -1.1)
McCook County Urban No 55.4 (34.9, 85.1) 3 (1, 25) 5
*
*
Lincoln County Urban No 27.2 (21.9, 33.5) 24 (12, 30) 19 falling falling trend -4.5 (-14.2, -2.0)
Lawrence County Rural No 25.5 (19.1, 33.9) 28 (12, 30) 11 falling falling trend -2.2 (-3.5, -0.9)
Lake County Rural No 31.7 (20.0, 48.8) 20 (3, 30) 5 stable stable trend -0.4 (-2.1, 1.4)
Kingsbury County Rural No 39.3 (23.1, 65.5) 7 (1, 30) 4 stable stable trend -0.4 (-2.7, 2.1)
Hutchinson County Rural No 26.2 (14.7, 44.8) 26 (5, 30) 3
*
*
Hughes County Rural No 38.5 (27.7, 52.4) 8 (3, 28) 9 stable stable trend -1.0 (-2.3, 0.3)
Grant County Rural No 27.3 (15.9, 45.8) 23 (4, 30) 4
*
*
Fall River County Rural No 43.9 (29.1, 66.6) 5 (1, 28) 6 falling falling trend -5.6 (-19.8, -2.6)
Day County Rural No 32.4 (19.4, 54.9) 17 (3, 30) 4 stable stable trend -1.4 (-3.3, 0.4)
Davison County Rural No 34.3 (25.4, 45.8) 13 (4, 29) 10 stable stable trend -0.7 (-2.1, 0.9)
Custer County Urban Yes 23.6 (14.8, 39.5) 29 (9, 30) 5 falling falling trend -3.9 (-5.9, -2.0)
Codington County Rural No 37.3 (29.2, 47.2) 9 (3, 26) 15 stable stable trend -0.8 (-2.0, 0.5)
Clay County Rural No 35.7 (22.9, 53.3) 11 (2, 30) 5 falling falling trend -2.1 (-4.0, -0.2)
Charles Mix County Rural No 26.9 (15.6, 44.2) 25 (5, 30) 3 falling falling trend -1.9 (-3.7, -0.1)
Butte County Rural No 63.2 (46.1, 85.4) 2 (1, 10) 9 stable stable trend -0.3 (-2.0, 1.6)
Brown County Rural No 30.4 (24.0, 38.2) 22 (7, 29) 16 falling falling trend -6.3 (-20.5, -1.1)
Brookings County Rural No 31.9 (23.9, 41.8) 18 (5, 29) 11 stable stable trend -0.9 (-2.4, 0.7)
Bon Homme County Rural No 31.9 (17.6, 54.4) 19 (2, 30) 3
*
*
Beadle County Rural Yes 22.9 (15.7, 32.8) 30 (13, 30) 7 falling falling trend -2.0 (-3.5, -0.6)
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
*
*
Deuel County Rural ***
*
*
3 or fewer
*
*
Dewey County Rural ***
*
*
3 or fewer
*
*
Douglas County Rural ***
*
*
3 or fewer
*
*
Edmunds County Rural ***
*
*
3 or fewer
*
*
Faulk County Rural ***
*
*
3 or fewer
*
*
Gregory County Rural ***
*
*
3 or fewer
*
*
Haakon County Rural ***
*
*
3 or fewer
*
*
Hamlin County Rural ***
*
*
3 or fewer
*
*
Hand County Rural ***
*
*
3 or fewer
*
*
Hanson County Rural ***
*
*
3 or fewer
*
*
Harding 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
*
*
Lyman County Rural ***
*
*
3 or fewer
*
*
Marshall County Rural ***
*
*
3 or fewer
*
*
McPherson County Rural ***
*
*
3 or fewer
*
*
Mellette County Rural ***
*
*
3 or fewer
*
*
Miner 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
*
*
Walworth County Rural ***
*
*
3 or fewer
*
*
Ziebach County Rural ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/08/2024 2:16 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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