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Death Rates Table

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Death Rate Report for South Dakota by County

Lung & Bronchus, 2015-2019

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

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of ***?
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 *** 38.2 (36.5, 39.9) N/A 419 falling falling trend -2.1 (-2.8, -1.4)
United States *** 36.7 (36.6, 36.8) N/A 146,023 falling falling trend -4.9 (-5.2, -4.5)
Beadle County *** 32.1 (22.8, 44.3) 24 (8, 32) 8 stable stable trend -1.5 (-2.9, 0.0)
Brookings County *** 30.6 (22.4, 41.0) 27 (11, 32) 9 stable stable trend -0.8 (-2.3, 0.8)
Brown County *** 34.7 (27.6, 43.1) 23 (9, 31) 17 stable stable trend -20.1 (-40.0, 6.5)
Butte County *** 63.3 (46.3, 85.4) 3 (1, 17) 10 stable stable trend -0.4 (-2.2, 1.5)
Charles Mix County *** 36.1 (23.2, 54.7) 21 (4, 32) 5 stable stable trend -1.6 (-3.5, 0.5)
Clay County *** 41.4 (27.1, 60.9) 14 (2, 32) 5 stable stable trend -1.8 (-3.7, 0.2)
Codington County *** 37.9 (29.6, 48.1) 17 (6, 31) 15 stable stable trend -0.6 (-1.9, 0.6)
Custer County *** 30.1 (18.9, 48.4) 29 (7, 32) 5 falling falling trend -3.8 (-5.8, -1.6)
Davison County *** 44.2 (33.8, 57.2) 12 (3, 28) 13 stable stable trend 0.1 (-1.3, 1.5)
Day County *** 29.0 (16.2, 51.6) 30 (6, 32) 3 stable stable trend -1.3 (-3.5, 1.0)
Fall River County *** 44.3 (29.6, 67.0) 11 (2, 31) 6 stable stable trend -0.4 (-2.4, 1.6)
Grant County *** 39.8 (25.0, 61.9) 16 (2, 32) 5 stable stable trend -0.8 (-2.4, 0.8)
Hamlin County *** 62.2 (38.3, 96.1) 4 (1, 28) 4
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*
Hughes County *** 44.4 (32.9, 59.0) 10 (3, 29) 10 stable stable trend -0.9 (-2.3, 0.5)
Hutchinson County *** 35.4 (20.8, 57.6) 22 (3, 32) 4 stable stable trend -0.7 (-3.0, 1.7)
Kingsbury County *** 47.5 (28.9, 76.6) 7 (1, 32) 4 rising rising trend 3.7 (0.2, 7.3)
Lake County *** 30.9 (20.5, 45.7) 26 (8, 32) 6 falling falling trend -4.9 (-8.6, -1.2)
Lawrence County *** 28.8 (21.7, 38.0) 31 (14, 32) 11 falling falling trend -1.9 (-3.0, -0.8)
Lincoln County *** 26.0 (20.2, 33.0) 32 (20, 32) 14 stable stable trend -1.6 (-3.5, 0.2)
Lyman County *** 70.7 (39.1, 118.2) 1 (1, 31) 3
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*
McCook County *** 46.5 (27.9, 74.6) 8 (1, 32) 4
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*
Meade County *** 55.6 (44.4, 68.9) 5 (1, 16) 18 stable stable trend -0.4 (-1.3, 0.6)
Minnehaha County *** 44.1 (39.8, 48.7) 13 (6, 20) 83 falling falling trend -0.8 (-1.3, -0.4)
Moody County *** 37.5 (21.7, 61.7) 19 (2, 32) 3
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Pennington County *** 37.7 (33.2, 42.7) 18 (9, 27) 54 falling falling trend -1.6 (-2.3, -0.9)
Roberts County *** 31.7 (20.3, 48.4) 25 (6, 32) 5 stable stable trend -1.1 (-2.7, 0.5)
Shannon County *** 54.1 (33.0, 82.4) 6 (1, 31) 5
*
*
Todd County *** 69.9 (41.6, 108.2) 2 (1, 28) 4
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*
Tripp County *** 30.4 (16.8, 53.6) 28 (5, 32) 3 stable stable trend -1.9 (-4.2, 0.4)
Turner County *** 40.2 (26.5, 60.0) 15 (3, 32) 6 stable stable trend -0.5 (-2.2, 1.3)
Union County *** 45.0 (32.6, 61.0) 9 (2, 29) 9 stable stable trend -18.4 (-46.1, 23.5)
Yankton County *** 37.0 (28.0, 48.2) 20 (6, 31) 12 stable stable trend -0.9 (-2.2, 0.5)
Aurora County ***
*
*
3 or fewer
*
*
Bennett County ***
*
*
3 or fewer
*
*
Bon Homme County ***
*
*
3 or fewer
*
*
Brule County ***
*
*
3 or fewer
*
*
Buffalo County ***
*
*
3 or fewer
*
*
Campbell County ***
*
*
3 or fewer
*
*
Clark County ***
*
*
3 or fewer
*
*
Corson County ***
*
*
3 or fewer
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*
Deuel County ***
*
*
3 or fewer
*
*
Dewey County ***
*
*
3 or fewer
*
*
Douglas County ***
*
*
3 or fewer
*
*
Edmunds County ***
*
*
3 or fewer
*
*
Faulk County ***
*
*
3 or fewer
*
*
Gregory County ***
*
*
3 or fewer
*
*
Haakon County ***
*
*
3 or fewer
*
*
Hand County ***
*
*
3 or fewer
*
*
Hanson County ***
*
*
3 or fewer
*
*
Harding County ***
*
*
3 or fewer
*
*
Hyde County ***
*
*
3 or fewer
*
*
Jackson County ***
*
*
3 or fewer
*
*
Jerauld County ***
*
*
3 or fewer
*
*
Jones County ***
*
*
3 or fewer
*
*
Marshall County ***
*
*
3 or fewer
*
*
McPherson County ***
*
*
3 or fewer
*
*
Mellette County ***
*
*
3 or fewer
*
*
Miner County ***
*
*
3 or fewer
*
*
Perkins County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Sanborn County ***
*
*
3 or fewer
*
*
Spink County ***
*
*
3 or fewer
*
*
Stanley County ***
*
*
3 or fewer
*
*
Sully County ***
*
*
3 or fewer
*
*
Walworth County ***
*
*
3 or fewer
*
*
Ziebach County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/18/2021 1:39 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). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with a future 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 2020 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

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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