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Death Rates Table

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Death Rate Report for South Dakota by County

Lung & Bronchus, 2009 - 2013

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


Healthy People 2020 Objective Number: C-2
Reduce the lung cancer death rate

Sorted by Rate
County
sort ascending
Met Healthy People Objective of 45.5? 1 Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
sorted descending, sort ascending
Average Deaths per Year
sort descending
Recent Trend 2 Recent 5-Year Trend2
in Death Rates
(95% Confidence Interval)
sort descending
South Dakota (State) Yes 43.6 (41.7, 45.5) 425 stable stable trend -0.4 (-0.8, 0.0)
United States No 46.0 (45.9, 46.1) 157,376 falling falling trend -2.4 (-2.6, -2.2)
Todd County No 64.7 (36.8, 103.5) 3 ** **
Butte County No 59.5 (42.1, 82.3) 8 stable stable trend 0.1 (-2.4, 2.8)
McCook County No 57.6 (36.6, 88.1) 5 ** **
Gregory County No 57.3 (33.9, 94.0) 4 stable stable trend 0.8 (-1.3, 3.0)
Fall River County No 55.0 (38.4, 79.2) 7 stable stable trend 1.1 (-1.3, 3.5)
Brule County No 53.7 (32.0, 85.8) 4 stable stable trend -0.9 (-3.8, 2.0)
Shannon County No 53.1 (31.0, 83.4) 4 ** **
Minnehaha County No 52.1 (47.2, 57.3) 87 stable stable trend -0.3 (-0.9, 0.2)
Clay County No 51.0 (34.4, 73.1) 6 stable stable trend -1.4 (-4.2, 1.5)
Bon Homme County No 50.4 (32.4, 76.1) 5 ** **
Marshall County No 48.5 (27.6, 81.2) 3 ** **
Davison County No 48.3 (37.0, 62.3) 13 stable stable trend 1.0 (-1.1, 3.1)
Pennington County No 46.9 (41.5, 52.9) 55 falling falling trend -1.3 (-2.3, -0.3)
Deuel County No 46.8 (26.6, 79.3) 3 ** **
Spink County No 46.2 (29.1, 71.4) 5 ** **
Kingsbury County Yes 45.5 (27.6, 73.6) 4 stable stable trend -0.6 (-3.8, 2.6)
Codington County Yes 45.2 (35.4, 57.0) 15 stable stable trend -0.3 (-2.0, 1.4)
Meade County Yes 44.9 (34.0, 58.1) 12 stable stable trend -0.6 (-2.1, 1.0)
Brown County Yes 44.8 (36.6, 54.5) 22 stable stable trend 0.7 (-0.7, 2.2)
Union County Yes 44.0 (31.0, 61.0) 8 falling falling trend -8.6 (-15.3, -1.3)
Day County Yes 43.6 (27.4, 69.0) 5 stable stable trend 0.3 (-2.9, 3.6)
Yankton County Yes 43.5 (33.3, 56.1) 13 stable stable trend -0.5 (-2.3, 1.4)
Walworth County Yes 42.9 (26.3, 69.0) 4 stable stable trend -1.1 (-4.1, 2.0)
Brookings County Yes 37.9 (28.2, 50.0) 10 stable stable trend 0.3 (-1.9, 2.5)
Lawrence County Yes 37.5 (28.4, 48.9) 12 stable stable trend -1.3 (-2.7, 0.1)
Turner County Yes 35.7 (22.2, 55.5) 4 stable stable trend -1.2 (-4.0, 1.7)
Lake County Yes 35.6 (24.0, 51.7) 6 falling falling trend -8.4 (-14.9, -1.5)
Roberts County Yes 34.9 (22.4, 52.5) 5 stable stable trend -0.8 (-3.0, 1.5)
Charles Mix County Yes 34.5 (21.4, 53.4) 4 stable stable trend -2.9 (-5.7, 0.0)
Lincoln County Yes 33.8 (25.7, 43.6) 12 stable stable trend 0.0 (-2.7, 2.8)
Grant County Yes 33.3 (18.8, 55.7) 3 stable stable trend -1.3 (-3.8, 1.2)
Custer County Yes 32.9 (20.7, 52.2) 5 falling falling trend -4.0 (-6.8, -1.1)
Hutchinson County Yes 31.8 (19.4, 51.6) 4 stable stable trend -1.3 (-4.8, 2.2)
Beadle County Yes 30.7 (21.5, 42.8) 8 stable stable trend -1.1 (-3.1, 1.0)
Hughes County Yes 30.7 (20.5, 44.4) 6 falling falling trend -2.5 (-4.3, -0.6)
Aurora County * * 3 or fewer ** **
Bennett County * * 3 or fewer ** **
Buffalo County * * 3 or fewer ** **
Campbell County * * 3 or fewer ** **
Clark County * * 3 or fewer ** **
Corson County * * 3 or fewer ** **
Dewey County * * 3 or fewer * **
Douglas County * * 3 or fewer ** **
Edmunds County * * 3 or fewer ** **
Faulk County * * 3 or fewer ** **
Haakon County * * 3 or fewer ** **
Hamlin 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 ** **
Lyman County * * 3 or fewer ** **
McPherson County * * 3 or fewer ** **
Mellette County * * 3 or fewer ** **
Miner County * * 3 or fewer ** **
Moody County * * 3 or fewer ** **
Perkins County * * 3 or fewer ** **
Potter County * * 3 or fewer ** **
Sanborn County * * 3 or fewer ** **
Stanley County * * 3 or fewer ** **
Sully County * * 3 or fewer ** **
Tripp County * * 3 or fewer * **
Ziebach County * * 3 or fewer ** **
Notes:
Created by statecancerprofiles.cancer.gov on 09/28/2016 11:35 pm.
State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.
2 The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint Regression Program (Version 4.3.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Source: 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 1969-2014 US Population Data File is used with mortality data.