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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

All Cancer Sites

All Races, Male

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 - 315,770 177.5 (177.2, 177.8) - -2.2 (-2.5, -2.0)
South Dakota - falling falling trend - 908 181.4 (176.0, 186.9) - -1.3 (-1.5, -1.1)
Butte County 4 stable stable trend higher 17 231.4 (182.8, 290.2) 1.3 -0.7 (-2.0, 0.5)
Fall River County 4 stable stable trend higher 15 246.3 (188.1, 320.8) 1.4 -0.8 (-1.8, 0.2)
Hamlin County 4 stable stable trend higher 9 255.9 (184.6, 346.1) 1.4 0.0 (-1.2, 1.3)
Oglala Lakota/Shannon County 4 stable stable trend higher 10 277.2 (196.9, 376.0) 1.6 -1.1 (-2.5, 0.3)
Minnehaha County 5 falling falling trend higher 178 210.7 (196.4, 225.8) 1.2 -0.9 (-1.2, -0.6)
Bon Homme County 6 stable stable trend similar 9 169.4 (123.0, 229.3) 1.0 -0.9 (-2.3, 0.6)
Charles Mix County 6 stable stable trend similar 12 191.2 (144.6, 249.3) 1.1 -1.3 (-2.6, 0.1)
Clay County 6 stable stable trend similar 13 224.6 (170.5, 290.0) 1.3 -0.8 (-2.2, 0.7)
Corson County 6 stable stable trend similar 3 204.4 (113.4, 335.5) 1.2 -38.2 (-63.4, 4.4)
Custer County 6 stable stable trend similar 15 163.6 (126.4, 213.1) 0.9 -0.8 (-2.0, 0.5)
Dewey County 6 stable stable trend similar 5 238.6 (151.2, 355.4) 1.3 -0.9 (-2.3, 0.5)
Grant County 6 stable stable trend similar 10 181.4 (133.0, 243.9) 1.0 -1.0 (-2.1, 0.2)
Gregory County 6 stable stable trend similar 6 180.4 (121.8, 263.1) 1.0 -0.1 (-1.7, 1.4)
Hughes County 6 stable stable trend similar 17 161.0 (128.0, 200.3) 0.9 -0.7 (-2.0, 0.5)
Jackson County 6 stable stable trend similar 4 241.0 (147.5, 372.9) 1.4 -0.5 (-2.5, 1.6)
Kingsbury County 6 stable stable trend similar 9 205.1 (147.6, 282.6) 1.2 -0.9 (-2.0, 0.2)
McCook County 6 stable stable trend similar 7 221.8 (155.1, 308.8) 1.2 0.6 (-1.2, 2.3)
McPherson County 6 stable stable trend similar 4 155.1 (93.9, 260.2) 0.9 -1.2 (-10.1, 8.7)
Moody County 6 stable stable trend similar 6 168.3 (113.7, 240.9) 0.9 -0.8 (-2.2, 0.5)
Perkins County 6 stable stable trend similar 5 188.0 (121.1, 290.2) 1.1 0.4 (-1.3, 2.1)
Spink County 6 stable stable trend similar 8 164.3 (113.6, 232.1) 0.9 -1.3 (-2.9, 0.3)
Beadle County 8 falling falling trend similar 20 179.9 (145.8, 220.0) 1.0 -1.5 (-2.3, -0.7)
Brookings County 8 falling falling trend similar 23 154.2 (126.8, 185.6) 0.9 -1.3 (-2.0, -0.5)
Brown County 8 falling falling trend similar 41 181.5 (156.9, 209.0) 1.0 -1.5 (-2.2, -0.9)
Brule County 8 falling falling trend similar 5 138.1 (86.0, 212.3) 0.8 -1.7 (-3.3, -0.1)
Codington County 8 falling falling trend similar 32 189.0 (160.4, 221.3) 1.1 -1.5 (-2.1, -0.8)
Davison County 8 falling falling trend similar 23 183.1 (150.6, 221.0) 1.0 -1.7 (-2.7, -0.8)
Day County 8 falling falling trend similar 9 205.1 (146.2, 283.5) 1.2 -1.4 (-2.7, 0.0)
Deuel County 8 falling falling trend similar 6 186.4 (125.8, 270.4) 1.1 -2.0 (-3.4, -0.6)
Hand County 8 falling falling trend similar 4 127.1 (76.5, 210.0) 0.7 -2.0 (-3.5, -0.4)
Hutchinson County 8 falling falling trend similar 10 188.2 (137.6, 253.2) 1.1 -1.9 (-3.2, -0.5)
Lake County 8 falling falling trend similar 12 149.4 (111.7, 196.4) 0.8 -1.7 (-2.7, -0.7)
Meade County 8 falling falling trend similar 30 192.8 (161.9, 228.0) 1.1 -1.8 (-2.9, -0.8)
Pennington County 8 falling falling trend similar 119 181.3 (166.5, 197.1) 1.0 -1.5 (-2.0, -1.0)
Roberts County 8 falling falling trend similar 13 194.5 (149.0, 250.6) 1.1 -1.5 (-2.6, -0.4)
Tripp County 8 falling falling trend similar 6 139.2 (94.0, 202.8) 0.8 -2.0 (-3.8, -0.3)
Turner County 8 falling falling trend similar 11 181.8 (134.9, 241.4) 1.0 -1.5 (-2.3, -0.6)
Union County 8 falling falling trend similar 17 186.3 (148.1, 231.7) 1.0 -1.5 (-2.6, -0.4)
Walworth County 8 falling falling trend similar 7 145.1 (98.2, 210.7) 0.8 -1.9 (-3.3, -0.4)
Lawrence County 9 falling falling trend lower 25 144.6 (119.9, 173.4) 0.8 -1.5 (-2.2, -0.8)
Lincoln County 9 falling falling trend lower 36 138.1 (118.2, 160.4) 0.8 -3.7 (-5.2, -2.1)
Marshall County 9 falling falling trend lower 4 112.7 (68.8, 177.4) 0.6 -1.8 (-3.1, -0.5)
Yankton County 9 falling falling trend lower 20 133.1 (107.8, 163.1) 0.8 -1.8 (-2.7, -0.9)
Aurora County
**
 		** similar 5 206.2 (130.3, 318.5) 1.2
**
Bennett County
**
 		** similar 4 224.3 (130.1, 359.5) 1.3
**
Clark County
**
 		** similar 6 265.4 (176.6, 385.7) 1.5
**
Hanson County
**
 		** higher 5 362.8 (216.1, 562.5) 2.0
**
Lyman County
**
 		** similar 5 216.1 (137.6, 324.7) 1.2
**
Mellette County
**
 		** similar 4 304.2 (174.7, 497.0) 1.7
**
Miner County
**
 		** similar 5 295.5 (182.0, 460.9) 1.7
**
Stanley County
**
 		** similar 5 202.2 (126.5, 312.3) 1.1
**
Todd County
**
 		** higher 8 292.6 (205.4, 401.3) 1.6
**
Buffalo County
**
 		**
*
3 or fewer
*
*
**
Campbell County
**
 		**
*
3 or fewer
*
*
**
Douglas County
**
 		**
*
3 or fewer
*
*
**
Edmunds County
**
 		**
*
3 or fewer
*
*
**
Faulk County
**
 		**
*
3 or fewer
*
*
**
Haakon County
**
 		**
*
3 or fewer
*
*
**
Harding County
**
 		**
*
3 or fewer
*
*
**
Hyde County
**
 		**
*
3 or fewer
*
*
**
Jerauld County
**
 		**
*
3 or fewer
*
*
**
Jones County
**
 		**
*
3 or fewer
*
*
**
Potter County
**
 		**
*
3 or fewer
*
*
**
Sanborn County
**
 		**
*
3 or fewer
*
*
**
Sully County
**
 		**
*
3 or fewer
*
*
**
Ziebach County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/24/2024 8:17 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.

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:
Buffalo County, Campbell County, Douglas County, Edmunds County, Faulk County, Haakon County, Harding County, Hyde County, Jerauld County, Jones County, Potter County, Sanborn County, Sully County, Ziebach County

Trend for the following could not be reliably determined due to small number of deaths per year:
Aurora County, Bennett County, Clark County, Hanson County, Lyman County, Mellette County, Miner County, Stanley 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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