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Incidence Rates Table

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Incidence Rate Report for South Dakota by County

All Cancer Sites, 2009-2013

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

Sorted by Count
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
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Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
South Dakota 6,10 444.2 (438.1, 450.4) 4,203 stable stable trend -0.5 (-3.3, 2.4)
US (SEER+NPCR) 1,10 448.4 (448.1, 448.7) 1,540,559 falling falling trend -1.9 (-2.6, -1.2)
Minnehaha County 6,10 508.4 (493.1, 524.1) 871 stable stable trend 1.3 (-1.9, 4.5)
Pennington County 6,10 431.4 (414.3, 449.1) 496 stable stable trend -3.9 (-11.2, 4.0)
Brown County 6,10 407.1 (380.5, 435.2) 184 stable stable trend 2.9 (-0.3, 6.2)
Lincoln County 6,10 393.8 (365.9, 423.2) 158 stable stable trend -3.2 (-13.0, 7.7)
Codington County 6,10 445.8 (412.9, 480.5) 142 stable stable trend 5.9 (-0.5, 12.7)
Davison County 6,10 492.3 (452.2, 535.2) 121 stable stable trend 3.3 (-5.8, 13.4)
Lawrence County 6,10 378.9 (347.8, 412.2) 119 stable stable trend 1.3 (-15.5, 21.3)
Yankton County 6,10 409.2 (375.8, 445.0) 116 stable stable trend -3.7 (-12.1, 5.5)
Brookings County 6,10 421.6 (386.6, 458.8) 112 stable stable trend 3.8 (-2.3, 10.2)
Meade County 6,10 405.9 (372.1, 442.0) 112 stable stable trend -1.3 (-5.0, 2.4)
Hughes County 6,10 503.0 (459.1, 550.0) 102 stable stable trend -5.5 (-12.2, 1.7)
Beadle County 6,10 433.5 (395.0, 474.8) 100 stable stable trend 2.3 (-3.2, 8.2)
Union County 6,10 532.7 (483.2, 585.9) 90 stable stable trend 1.4 (-8.0, 11.7)
Lake County 6,10 424.4 (377.5, 475.8) 65 stable stable trend -10.8 (-23.8, 4.4)
Fall River County 6,10 476.6 (418.9, 541.7) 58 stable stable trend -5.0 (-18.0, 10.0)
Butte County 6,10 426.3 (376.2, 481.6) 56 stable stable trend -4.9 (-21.6, 15.4)
Charles Mix County 6,10 472.6 (416.3, 534.7) 55 stable stable trend 1.8 (-8.7, 13.5)
Turner County 6,10 472.4 (415.7, 535.3) 55 stable stable trend 2.3 (-15.9, 24.4)
Roberts County 6,10 393.8 (345.4, 447.3) 51 stable stable trend 5.9 (-9.4, 23.8)
Hutchinson County 6,10 438.9 (381.5, 503.4) 50 stable stable trend 0.1 (-18.0, 22.2)
Custer County 6,10 364.9 (316.9, 419.4) 50 stable stable trend 1.4 (-17.3, 24.4)
Clay County 6,10 417.2 (365.2, 474.4) 49 stable stable trend 2.0 (-8.6, 13.7)
Kingsbury County 6,10 599.9 (519.9, 690.0) 46 stable stable trend -7.8 (-19.1, 5.2)
Grant County 6,10 438.6 (380.7, 503.5) 45 stable stable trend 2.8 (-9.5, 16.8)
Spink County 6,10 442.0 (381.1, 510.8) 42 stable stable trend 1.9 (-21.5, 32.4)
Day County 6,10 435.8 (372.7, 507.8) 40 stable stable trend -11.0 (-22.0, 1.4)
Gregory County 6,10 539.6 (456.6, 635.0) 37 stable stable trend 11.6 (-8.1, 35.5)
Bon Homme County 6,10 373.2 (319.1, 434.6) 36 stable stable trend -12.4 (-39.4, 26.5)
McCook County 6,10 483.0 (411.7, 563.9) 36 stable stable trend 2.2 (-18.9, 29.0)
Tripp County 6,10 410.4 (348.4, 481.4) 35 stable stable trend 3.7 (-11.8, 21.9)
Shannon County 6,10 392.5 (333.3, 458.6) 35 stable stable trend -0.8 (-7.7, 6.5)
Walworth County 6,10 364.1 (307.5, 429.7) 33 stable stable trend -0.9 (-16.7, 18.0)
Moody County 6,10 397.6 (336.4, 467.3) 32 stable stable trend -6.7 (-23.9, 14.3)
Brule County 6,10 441.1 (372.1, 520.0) 31 stable stable trend -9.4 (-33.1, 22.8)
Hamlin County 6,10 419.4 (353.0, 495.1) 30 stable stable trend -1.8 (-16.7, 15.8)
Edmunds County 6,10 456.5 (380.7, 544.9) 28 stable stable trend 7.3 (-16.2, 37.4)
Dewey County 6,10 583.0 (487.9, 690.7) 27 rising rising trend 12.1 (3.9, 21.0)
Deuel County 6,10 422.8 (351.4, 506.0) 27 stable stable trend -6.7 (-26.3, 18.1)
Marshall County 6,10 398.0 (329.5, 477.7) 26 stable stable trend -5.0 (-35.3, 39.5)
Todd County 6,10 414.5 (341.2, 497.7) 25 stable stable trend -6.2 (-19.5, 9.3)
Douglas County 6,10 493.2 (396.6, 608.4) 23 stable stable trend -7.0 (-33.5, 30.2)
Clark County 6,10 422.0 (341.8, 516.9) 23 stable stable trend 0.9 (-20.7, 28.3)
Stanley County 6,10 517.8 (419.2, 634.6) 21 stable stable trend -1.4 (-5.4, 2.8)
Hand County 6,10 364.1 (289.5, 454.5) 21 stable stable trend -7.9 (-29.1, 19.6)
Potter County 6,10 501.8 (396.1, 631.3) 20 rising rising trend 26.1 (0.4, 58.4)
Lyman County 6,10 465.0 (376.9, 568.0) 20 stable stable trend -9.2 (-22.5, 6.5)
Perkins County 6,10 423.5 (338.1, 526.7) 20 stable stable trend -6.2 (-17.6, 6.9)
Aurora County 6,10 496.2 (398.3, 613.2) 19 stable stable trend -0.0 (-10.6, 11.8)
Faulk County 6,10 471.6 (373.7, 591.1) 19 stable stable trend -1.5 (-16.0, 15.5)
Sanborn County 6,10 579.3 (459.3, 723.1) 19 stable stable trend -1.5 (-26.3, 31.8)
Miner County 6,10 481.0 (379.2, 605.1) 18 stable stable trend 11.8 (-12.5, 42.8)
Haakon County 6,10 558.1 (436.7, 707.7) 17 stable stable trend 5.8 (-13.3, 29.0)
Hanson County 6,10 471.1 (372.8, 587.8) 17 stable stable trend -6.9 (-21.9, 11.0)
Bennett County 6,10 434.7 (339.1, 548.8) 14 stable stable trend 5.7 (-20.0, 39.6)
McPherson County 6,10 314.9 (237.8, 414.4) 14 stable stable trend 12.2 (-16.9, 51.4)
Corson County 6,10 371.4 (287.3, 472.0) 14 stable stable trend -15.9 (-42.3, 22.6)
Jerauld County 6,10 394.3 (297.0, 518.1) 13 stable stable trend 9.0 (-30.5, 71.0)
Mellette County 6,10 493.0 (369.1, 645.7) 11 stable stable trend -7.9 (-42.5, 47.4)
Jackson County 6,10 303.9 (224.3, 402.9) 10 stable stable trend -12.7 (-32.2, 12.5)
Hyde County 6,10 436.7 (303.1, 612.6) 9 stable stable trend 22.0 (-6.7, 59.4)
Campbell County 6,10 298.8 (201.2, 439.4) 8 stable stable trend 12.6 (-20.3, 59.0)
Sully County 6,10 366.4 (255.0, 516.8) 7 stable stable trend -9.2 (-49.7, 64.0)
Buffalo County 6,10 513.0 (341.3, 735.1) 7 stable stable trend -11.3 (-46.2, 46.3)
Jones County 6,10 315.9 (204.6, 479.1) 5 stable stable trend -5.5 (-36.1, 39.7)
Harding County 6,10 274.5 (173.0, 420.5) 5 stable stable trend 10.8 (-24.0, 61.5)
Ziebach County 6,10 197.2 (119.2, 305.2) 4 stable stable trend -14.0 (-45.6, 36.1)
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2016 9:07 am.
Data for the United States does not include data from Nevada
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 1969-2014 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.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission and SEER November 2015 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 2015 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 1969-2014 US Population Data File is used with NPCR November 2015 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.


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