Return to Home Mortality > Table > Data Table

Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

South Dakota Counties versus United States

All Cancer Sites

All Races, Male

Sorted by rateratio

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 - 318,737 171.5 (171.3, 171.8) - -1.8 (-1.8, -1.7)
South Dakota - falling - 916 176.8 (171.5, 182.2) - -1.4 (-1.6, -1.1)
Lincoln County 9 falling lower 40 120.5 (103.8, 139.1) 0.7 -3.4 (-4.6, -2.0)
Yankton County 9 falling lower 21 131.6 (107.1, 160.5) 0.8 -2.6 (-4.3, -1.0)
Spink County 6 stable similar 7 134.7 (91.3, 194.9) 0.8 -2.0 (-4.7, 0.4)
Moody County 6 stable similar 6 135.9 (89.7, 199.3) 0.8 -2.4 (-5.5, 0.5)
Lawrence County 9 falling lower 27 140.8 (117.1, 168.5) 0.8 -1.8 (-3.4, -0.3)
Brule County 6 stable similar 5 142.9 (88.6, 219.9) 0.8 -2.3 (-5.7, 0.6)
Davison County 8 falling similar 18 143.1 (114.6, 176.8) 0.8 -2.1 (-3.6, -0.6)
Edmunds County 6 stable similar 5 149.8 (95.9, 229.0) 0.9 0.3 (-3.8, 4.4)
Marshall County 6 stable similar 5 152.6 (98.2, 230.2) 0.9 -1.5 (-3.8, 0.7)
Lake County 6 stable similar 12 155.3 (114.3, 207.0) 0.9 -1.1 (-3.2, 0.9)
Brown County 8 falling similar 35 157.0 (134.0, 182.9) 0.9 -1.2 (-2.3, -0.2)
Potter County 6 stable similar 3 157.3 (90.0, 271.0) 0.9 -0.4 (-3.8, 2.7)
Walworth County 6 stable similar 7 157.7 (109.5, 224.2) 0.9 -1.7 (-4.3, 0.6)
Charles Mix County 6 stable similar 9 158.8 (113.5, 216.8) 0.9 -0.3 (-2.3, 1.8)
Custer County 6 stable similar 14 159.7 (122.2, 209.7) 0.9 -1.7 (-3.8, 0.6)
Roberts County 8 falling similar 12 164.5 (123.5, 215.8) 1.0 -2.2 (-4.6, -0.1)
Codington County 8 falling similar 31 168.9 (142.9, 198.6) 1.0 -1.8 (-3.0, -0.5)
Meade County 8 falling similar 29 171.4 (143.3, 203.7) 1.0 -2.6 (-4.1, -1.1)
Union County 8 falling similar 18 171.8 (136.4, 214.0) 1.0 -3.1 (-4.6, -1.6)
Brookings County 8 falling similar 28 173.2 (145.0, 205.3) 1.0 -1.3 (-2.4, -0.2)
Kingsbury County 8 falling similar 7 173.4 (120.0, 246.1) 1.0 -2.3 (-4.3, -0.6)
Bon Homme County 6 stable similar 9 173.7 (126.5, 234.5) 1.0 -1.1 (-4.2, 1.8)
Tripp County 8 falling similar 7 174.5 (120.5, 247.2) 1.0 -3.2 (-6.5, -0.4)
Day County 6 stable similar 8 176.4 (123.8, 247.8) 1.0 -1.1 (-3.7, 1.3)
Deuel County 6 stable similar 6 176.5 (118.0, 258.4) 1.0 -0.8 (-3.5, 1.8)
Gregory County 6 stable similar 6 180.2 (117.3, 269.3) 1.1 -1.0 (-3.3, 1.1)
Pennington County 8 falling similar 121 181.2 (166.3, 197.1) 1.1 -1.5 (-2.3, -0.7)
Perkins County 6 stable similar 5 186.0 (114.4, 295.6) 1.1 0.3 (-4.5, 4.9)
Turner County 6 stable similar 11 187.7 (141.0, 246.4) 1.1 14.4 (-1.4, 27.5)
Hand County 2 rising similar 5 192.3 (118.3, 301.0) 1.1 30.1 (5.0, 53.4)
Beadle County 6 stable similar 22 193.2 (157.7, 234.5) 1.1 -0.9 (-2.2, 0.4)
Hughes County 6 stable similar 22 199.4 (162.5, 242.6) 1.2 -0.3 (-2.4, 2.1)
Clay County 6 stable similar 12 199.6 (149.7, 260.5) 1.2 -0.9 (-3.2, 1.6)
Grant County 6 stable similar 12 206.8 (157.1, 269.4) 1.2 -0.4 (-2.6, 1.8)
Butte County 6 stable similar 15 210.5 (163.7, 267.6) 1.2 -1.1 (-4.0, 2.0)
Minnehaha County 5 falling higher 181 211.1 (196.6, 226.4) 1.2 -0.7 (-1.2, -0.2)
Hutchinson County 6 stable similar 12 223.6 (169.5, 291.3) 1.3 0.6 (-2.0, 3.1)
Corson County 6 stable similar 4 232.7 (113.2, 412.0) 1.4 2.2 (-1.5, 6.5)
McCook County 6 stable similar 8 234.3 (161.5, 328.9) 1.4 0.4 (-2.4, 3.1)
Hamlin County 4 stable higher 8 256.7 (182.9, 350.1) 1.5 0.3 (-2.6, 3.1)
Fall River County 4 stable higher 17 264.2 (206.6, 336.8) 1.5 -0.2 (-2.2, 1.6)
Todd County 4 stable higher 7 273.3 (183.2, 388.5) 1.6 0.6 (-2.5, 4.3)
Dewey County 6 stable similar 5 293.2 (177.1, 451.1) 1.7 -0.9 (-3.6, 1.6)
Jackson County 4 stable higher 4 326.4 (201.3, 499.7) 1.9 0.9 (-2.4, 4.6)
Hanson County 2 rising similar 3 492.7 (199.2, 939.2) 2.9 5.2 (1.1, 9.1)
Aurora County
**
** similar 3 161.4 (93.3, 266.7) 0.9
**
Clark County
**
** similar 5 202.3 (126.0, 309.4) 1.2
**
Douglas County
**
** similar 3 127.7 (70.8, 222.7) 0.7
**
Faulk County
**
** similar 5 222.3 (139.4, 351.1) 1.3
**
Lyman County
**
** similar 5 201.9 (126.2, 308.0) 1.2
**
Miner County
**
** similar 4 192.9 (110.5, 322.1) 1.1
**
Oglala Lakota County
**
** higher 10 284.9 (202.5, 387.1) 1.7
**
Stanley County
**
** similar 4 184.6 (112.0, 293.3) 1.1
**
Bennett County
**
**
*
3 or fewer
*
*
**
Buffalo County
**
**
*
3 or fewer
*
*
**
Campbell 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
*
*
**
McPherson County
**
**
*
3 or fewer
*
*
**
Mellette 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 03/13/2026 5:22 am.

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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
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:
Bennett County, Buffalo County, Campbell County, Haakon County, Harding County, Hyde County, Jerauld County, Jones County, McPherson County, Mellette 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, Clark County, Douglas County, Faulk County, Lyman County, Miner County, Oglala Lakota County, Stanley 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 do not include Puerto Rico.

Return to Top