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Incidence Rates Table

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Incidence Rate Report for South Dakota by County

Breast, 2010-2014

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
South Dakota 6,10 *** 130.7 (126.1, 135.6) 633 stable stable trend 2.9 (-8.8, 16.2)
US (SEER+NPCR) 1,10 *** 123.5 (123.3, 123.8) 228,664 stable stable trend 0.5 (-0.3, 1.2)
Moody County 6,10 *** 79.9 (47.1, 129.7) 4 stable stable trend -15.3 (-60.0, 79.4)
Custer County 6,10 *** 92.6 (59.3, 141.2) 6 stable stable trend 1.2 (-29.4, 45.3)
Hamlin County 6,10 *** 101.2 (58.3, 164.5) 4 stable stable trend 2.6 (-49.2, 107.3)
Meade County 6,10 *** 104.0 (81.0, 131.5) 15 stable stable trend 13.0 (-4.1, 33.1)
Lake County 6,10 *** 107.8 (77.6, 147.4) 9 stable stable trend 7.2 (-24.4, 51.9)
Spink County 6,10 *** 108.6 (69.8, 164.1) 6 stable stable trend 2.3 (-54.0, 127.4)
Davison County 6,10 *** 109.1 (83.6, 140.3) 14 stable stable trend -6.2 (-28.2, 22.5)
Lawrence County 6,10 *** 110.9 (86.8, 139.9) 17 stable stable trend 2.0 (-19.3, 29.0)
Walworth County 6,10 *** 112.1 (63.6, 184.0) 4 stable stable trend 30.2 (-17.7, 105.8)
Brule County 6,10 *** 114.8 (67.3, 183.9) 4
*
*
Brown County 6,10 *** 117.2 (97.4, 140.1) 27 stable stable trend 9.4 (-3.6, 24.1)
Bon Homme County 6,10 *** 117.6 (72.9, 182.7) 5 stable stable trend 3.0 (-50.5, 114.3)
Clay County 6,10 *** 118.5 (82.0, 165.8) 7 stable stable trend 12.7 (-52.7, 168.6)
Roberts County 6,10 *** 119.6 (82.3, 168.4) 7 stable stable trend 13.3 (-47.5, 144.7)
Butte County 6,10 *** 121.0 (84.1, 169.3) 8 stable stable trend -2.5 (-34.6, 45.4)
Codington County 6,10 *** 121.0 (97.7, 148.4) 20 stable stable trend -3.0 (-44.9, 70.5)
Tripp County 6,10 *** 126.3 (75.9, 198.8) 5 stable stable trend 43.6 (-22.8, 167.2)
Pennington County 6,10 *** 126.4 (113.5, 140.3) 75 stable stable trend -1.5 (-10.0, 7.7)
Hand County 6,10 *** 127.3 (71.0, 218.7) 3
*
*
Yankton County 6,10 *** 128.4 (102.1, 159.7) 18 stable stable trend -9.0 (-32.4, 22.6)
Day County 6,10 *** 129.7 (79.6, 201.9) 5 falling falling trend -40.3 (-61.1, -8.3)
Gregory County 6,10 *** 132.6 (77.4, 217.0) 4 stable stable trend 23.3 (-38.3, 146.4)
Beadle County 6,10 *** 132.9 (101.7, 170.7) 14 stable stable trend 5.5 (-10.2, 23.8)
Charles Mix County 6,10 *** 137.2 (95.2, 191.8) 8 stable stable trend 15.5 (-44.2, 139.1)
McCook County 6,10 *** 137.8 (81.9, 217.2) 4 stable stable trend 8.6 (-18.6, 44.8)
Lincoln County 6,10 *** 141.1 (119.4, 165.4) 32 rising rising trend 10.4 (7.3, 13.5)
Shannon County 6,10 *** 143.5 (97.2, 202.7) 7 stable stable trend 18.4 (-8.9, 54.0)
Hutchinson County 6,10 *** 144.8 (96.2, 210.4) 8 stable stable trend 6.8 (-50.8, 132.0)
Union County 6,10 *** 145.1 (110.1, 188.0) 12 stable stable trend 11.9 (-41.9, 115.6)
Clark County 6,10 *** 147.6 (79.6, 251.6) 4 stable stable trend 23.4 (-27.8, 111.0)
Brookings County 6,10 *** 148.1 (119.8, 181.0) 20 rising rising trend 36.7 (9.6, 70.5)
Kingsbury County 6,10 *** 151.4 (94.2, 232.6) 5 stable stable trend -6.6 (-53.6, 87.9)
Grant County 6,10 *** 153.1 (105.8, 216.4) 8 stable stable trend 4.9 (-8.0, 19.5)
Minnehaha County 6,10 *** 155.9 (144.5, 167.9) 146 stable stable trend 0.4 (-16.1, 20.2)
Hughes County 6,10 *** 160.9 (127.9, 200.2) 17 stable stable trend -4.3 (-18.5, 12.3)
Turner County 6,10 *** 162.7 (118.0, 220.4) 10 stable stable trend 18.9 (-47.7, 170.4)
Fall River County 6,10 *** 174.6 (125.2, 241.0) 10 stable stable trend 17.0 (-11.9, 55.3)
Lyman County 6,10 *** 188.5 (112.9, 297.3) 4 stable stable trend -3.0 (-23.5, 22.9)
Potter County 6,10 *** 207.6 (115.2, 355.0) 4 stable stable trend 6.9 (-66.1, 237.3)
Haakon County 6,10 *** 229.5 (128.5, 395.0) 4 stable stable trend -3.6 (-34.9, 42.9)
Aurora County 6,10 *
*
3 or fewer
*
*
Bennett County 6,10 *
*
3 or fewer
*
*
Buffalo County 6,10 *
*
3 or fewer
*
*
Campbell County 6,10 *
*
3 or fewer
*
*
Corson County 6,10 *
*
3 or fewer
*
*
Deuel County 6,10 *
*
3 or fewer
*
*
Dewey County 6,10 *
*
3 or fewer
*
*
Douglas County 6,10 *
*
3 or fewer
*
*
Edmunds County 6,10 *
*
3 or fewer
*
*
Faulk County 6,10 *
*
3 or fewer
*
*
Hanson County 6,10 *
*
3 or fewer
*
*
Harding County 6,10 *
*
3 or fewer
*
*
Hyde County 6,10 *
*
3 or fewer
*
*
Jackson County 6,10 *
*
3 or fewer
*
*
Jerauld County 6,10 *
*
3 or fewer
*
*
Jones County 6,10 *
*
3 or fewer
*
*
Marshall County 6,10 *
*
3 or fewer
*
*
McPherson County 6,10 *
*
3 or fewer
*
*
Mellette County 6,10 *
*
3 or fewer
*
*
Miner County 6,10 *
*
3 or fewer
*
*
Perkins County 6,10 *
*
3 or fewer
*
*
Sanborn County 6,10 *
*
3 or fewer
*
*
Stanley County 6,10 *
*
3 or fewer
*
*
Sully County 6,10 *
*
3 or fewer
*
*
Todd County 6,10 *
*
3 or fewer
*
*
Ziebach County 6,10 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/25/2017 6:22 pm.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, Shannon County was renamed Oglala Lakota County (FIPS Code=46102) (effective May 1, 2015). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with our next data release in 2018.

State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2016 data submission and SEER November 2016 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2016 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used with NPCR November 2016 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.

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