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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

South Dakota Counties versus United States

Lung & Bronchus

All Races, Both Sexes

Sorted by priority index
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - falling falling trend - 142,497 35.0 (34.9, 35.0) - -4.8 (-5.1, -4.6)
South Dakota - falling falling trend - 408 36.2 (34.6, 37.9) - -2.5 (-3.3, -1.7)
Butte County 4 stable stable trend higher 9 57.9 (41.7, 79.0) 1.7 -0.5 (-2.3, 1.3)
Meade County 4 stable stable trend higher 17 50.0 (39.5, 62.4) 1.4 -0.6 (-1.7, 0.4)
Minnehaha County 5 falling falling trend higher 87 43.6 (39.5, 48.1) 1.2 -0.9 (-1.3, -0.5)
Brookings County 6 stable stable trend similar 10 30.6 (22.5, 40.7) 0.9 -0.9 (-2.3, 0.6)
Charles Mix County 6 stable stable trend similar 5 33.7 (21.3, 51.9) 1.0 -1.7 (-3.6, 0.2)
Codington County 6 stable stable trend similar 16 40.0 (31.5, 50.3) 1.1 -0.5 (-1.6, 0.7)
Davison County 6 stable stable trend similar 12 42.8 (32.6, 55.7) 1.2 -0.2 (-1.6, 1.2)
Day County 6 stable stable trend similar 3 32.5 (18.7, 56.1) 0.9 -1.3 (-3.4, 0.8)
Fall River County 6 stable stable trend similar 6 46.9 (31.8, 70.1) 1.3 -0.7 (-2.7, 1.2)
Grant County 6 stable stable trend similar 4 29.5 (17.4, 49.0) 0.8 -1.2 (-2.8, 0.5)
Hughes County 6 stable stable trend similar 9 40.7 (29.7, 54.8) 1.2 -0.9 (-2.2, 0.4)
Hutchinson County 6 stable stable trend similar 4 34.9 (20.4, 57.0) 1.0 -0.7 (-2.8, 1.6)
Kingsbury County 6 stable stable trend similar 4 44.7 (26.7, 73.2) 1.3 -0.3 (-2.4, 1.8)
Roberts County 6 stable stable trend similar 4 28.0 (17.2, 43.9) 0.8 -1.3 (-2.8, 0.3)
Turner County 6 stable stable trend similar 6 43.6 (29.0, 64.5) 1.2 -0.3 (-2.0, 1.3)
Union County 6 stable stable trend similar 10 44.3 (32.4, 59.6) 1.3 -0.9 (-2.2, 0.4)
Yankton County 6 stable stable trend similar 9 28.7 (20.8, 38.8) 0.8 -1.2 (-2.6, 0.3)
Beadle County 8 falling falling trend similar 8 29.1 (20.4, 40.7) 0.8 -1.6 (-2.9, -0.3)
Brown County 8 falling falling trend similar 16 31.0 (24.5, 39.0) 0.9 -12.0 (-21.7, -1.1)
Clay County 8 falling falling trend similar 5 40.5 (26.5, 59.6) 1.2 -2.0 (-3.8, -0.1)
Custer County 8 falling falling trend similar 5 27.9 (18.1, 44.4) 0.8 -3.8 (-5.7, -1.9)
Lake County 8 falling falling trend similar 5 26.7 (17.1, 40.7) 0.8 -5.4 (-9.0, -1.7)
Pennington County 8 falling falling trend similar 52 35.5 (31.2, 40.3) 1.0 -1.8 (-2.4, -1.1)
Lawrence County 9 falling falling trend lower 11 26.8 (20.0, 35.6) 0.8 -2.0 (-3.1, -1.0)
Lincoln County 9 falling falling trend lower 16 27.1 (21.3, 34.0) 0.8 -5.7 (-8.9, -2.3)
Hamlin County
**
 		** similar 4 56.8 (33.9, 89.6) 1.6
**
McCook County
**
 		** similar 4 44.4 (26.2, 72.1) 1.3
**
Moody County
**
 		** similar 4 41.6 (25.0, 66.7) 1.2
**
Oglala Lakota/Shannon County
**
 		** similar 4 44.8 (25.8, 71.2) 1.3
**
Todd County
**
 		** higher 4 74.4 (44.7, 114.3) 2.1
**
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
*
*
**
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
*
*
**
Lyman 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
*
*
**
Tripp County
**
 		**
*
3 or fewer
*
*
**
Walworth County
**
 		**
*
3 or fewer
*
*
**
Ziebach County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/23/2024 11:35 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 will use Oglala Lakota/Shannon until the next incidence/mortality data release.

Trend2
     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.
Rate Comparison
     Above    when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar    when unable to conclude above or below with confidence.
     Below    when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Aurora County, Bennett County, Bon Homme County, Brule County, Buffalo County, Campbell County, Clark County, Corson County, Deuel County, Dewey County, Douglas County, Edmunds County, Faulk County, Gregory County, Haakon County, Hand County, Hanson County, Harding County, Hyde County, Jackson County, Jerauld County, Jones County, Lyman County, Marshall County, McPherson County, Mellette County, Miner County, Perkins County, Potter County, Sanborn County, Spink County, Stanley County, Sully County, Tripp County, Walworth County, Ziebach County

Trend for the following could not be reliably determined due to small number of deaths per year:
Hamlin County, McCook County, Moody County, Oglala Lakota/Shannon County, Todd County


Interpret Rankings provides insight into interpreting cancer 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.

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