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Incidence Rates Table

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Incidence Rate Report for by County

All Cancer Sites, 2008-2012

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

Sorted by Rate
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
South Dakota 6,10 442.0 (435.9, 448.2) 4,109 stable stable trend -0.5 (-3.5, 2.7)
US (SEER+NPCR) 1,10 453.8 (453.5, 454.1) 1,526,274 § falling falling trend -2.1 (-2.9, -1.2)
Campbell County 6,10 279.0 (197.5, 399.7) 8
*
*
Ziebach County 6,10 281.0 (180.9, 413.2) 5
*
*
McPherson County 6,10 284.8 (212.7, 379.3) 13
*
*
Jackson County 6,10 296.6 (217.5, 395.3) 10
*
*
Harding County 6,10 305.7 (195.9, 461.0) 5
*
*
Hand County 6,10 348.6 (275.3, 437.9) 19 stable stable trend -6.7 (-33.1, 30.2)
Jones County 6,10 352.8 (234.8, 522.7) 6
*
*
Custer County 6,10 364.5 (316.2, 419.3) 48 stable stable trend -5.6 (-22.9, 15.6)
Roberts County 6,10 365.5 (319.0, 417.2) 47 stable stable trend 1.0 (-11.7, 15.5)
Corson County 6,10 379.3 (294.2, 480.8) 14
*
*
Lawrence County 6,10 383.6 (352.2, 417.3) 118 stable stable trend 3.3 (-11.0, 20.0)
Spink County 6,10 388.8 (332.8, 452.7) 38 stable stable trend 1.3 (-26.4, 39.4)
Bon Homme County 6,10 391.4 (336.3, 453.8) 38 stable stable trend -0.3 (-30.9, 43.8)
Walworth County 6,10 391.7 (332.2, 460.2) 35 stable stable trend -8.6 (-23.7, 9.6)
Clay County 6,10 393.5 (343.0, 449.2) 46 stable stable trend 5.9 (-7.3, 20.9)
Shannon County 6,10 394.5 (333.7, 462.5) 33 stable stable trend -3.4 (-8.1, 1.5)
Deuel County 6,10 395.0 (326.8, 474.7) 25 stable stable trend -4.9 (-32.4, 33.7)
Bennett County 6,10 399.0 (308.4, 508.0) 13
*
*
Hamlin County 6,10 403.4 (338.8, 477.2) 29 stable stable trend -4.4 (-17.3, 10.5)
Moody County 6,10 403.5 (341.9, 473.5) 32 stable stable trend 0.2 (-19.9, 25.4)
Yankton County 6,10 403.8 (370.6, 439.4) 114 stable stable trend 1.4 (-10.3, 14.6)
Hyde County 6,10 404.0 (282.3, 565.6) 9
*
*
Lincoln County 6,10 404.9 (376.0, 435.4) 155 stable stable trend -6.8 (-14.9, 2.2)
Brown County 6,10 405.4 (378.6, 433.6) 181 stable stable trend 0.8 (-5.0, 6.9)
Meade County 6,10 408.2 (373.9, 444.9) 109 falling falling trend -2.4 (-4.3, -0.4)
Tripp County 6,10 410.9 (348.5, 482.4) 34 stable stable trend 0.8 (-15.5, 20.2)
Potter County 6,10 411.7 (321.2, 525.2) 18 rising rising trend 26.9 (0.4, 60.5)
Todd County 6,10 414.3 (340.5, 498.2) 25 stable stable trend -5.8 (-20.3, 11.5)
Brookings County 6,10 415.4 (380.6, 452.5) 110 stable stable trend 2.9 (-4.5, 10.9)
Marshall County 6,10 415.7 (346.4, 496.2) 27 stable stable trend 8.9 (-13.0, 36.3)
Sully County 6,10 416.6 (294.5, 579.0) 8
*
*
Codington County 6,10 423.9 (391.8, 458.0) 133 stable stable trend 1.9 (-5.3, 9.7)
Beadle County 6,10 424.4 (386.6, 465.3) 98 stable stable trend 1.3 (-3.6, 6.4)
Miner County 6,10 425.6 (330.0, 543.6) 15 stable stable trend -1.3 (-17.2, 17.5)
Perkins County 6,10 426.4 (341.5, 529.1) 20 stable stable trend 5.2 (-7.4, 19.5)
Clark County 6,10 429.4 (352.7, 519.9) 24 stable stable trend -4.8 (-22.6, 17.2)
Grant County 6,10 429.5 (372.9, 493.0) 45 stable stable trend 1.0 (-11.3, 14.9)
Hutchinson County 6,10 430.4 (373.3, 494.7) 49 stable stable trend 6.8 (-10.8, 28.0)
Faulk County 6,10 432.0 (338.5, 547.2) 17 stable stable trend 14.3 (-13.1, 50.3)
Turner County 6,10 436.0 (381.9, 496.3) 51 stable stable trend 3.9 (-17.8, 31.4)
Lake County 6,10 439.7 (391.5, 492.7) 65 stable stable trend -8.3 (-25.1, 12.4)
Pennington County 6,10 442.5 (424.9, 460.6) 494 stable stable trend -1.9 (-9.4, 6.3)
Brule County 6,10 447.1 (376.9, 527.3) 31 stable stable trend -4.7 (-33.0, 35.6)
McCook County 6,10 448.1 (379.1, 526.9) 33 stable stable trend 7.5 (-19.0, 42.6)
Butte County 6,10 449.2 (397.6, 506.1) 58 stable stable trend 1.0 (-10.6, 14.1)
Jerauld County 6,10 451.7 (343.2, 587.3) 14
*
*
Edmunds County 6,10 459.6 (384.6, 546.9) 29 stable stable trend 3.9 (-18.5, 32.5)
Aurora County 6,10 460.2 (365.5, 574.2) 18 stable stable trend 6.4 (-11.8, 28.3)
Charles Mix County 6,10 464.7 (408.6, 526.6) 54 stable stable trend -3.9 (-9.4, 2.0)
Lyman County 6,10 468.1 (379.2, 572.0) 20 stable stable trend -7.3 (-24.6, 14.0)
Day County 6,10 473.4 (407.2, 548.5) 42 stable stable trend -6.3 (-14.4, 2.6)
Davison County 6,10 476.9 (437.5, 519.1) 116 stable stable trend 0.6 (-7.8, 9.8)
Mellette County 6,10 486.5 (362.1, 640.3) 11
*
*
Douglas County 6,10 492.4 (398.2, 604.6) 23 stable stable trend -4.8 (-32.7, 34.5)
Hanson County 6,10 501.1 (401.5, 618.4) 18 stable stable trend 5.7 (-1.6, 13.6)
Minnehaha County 6,10 503.1 (487.7, 518.8) 840 stable stable trend -1.0 (-3.2, 1.3)
Hughes County 6,10 507.7 (463.3, 555.3) 101 stable stable trend -1.0 (-10.8, 9.9)
Fall River County 6,10 515.1 (454.4, 583.1) 61 stable stable trend -8.9 (-20.8, 4.7)
Union County 6,10 518.1 (469.0, 571.0) 86 stable stable trend 6.0 (-1.8, 14.3)
Sanborn County 6,10 521.4 (409.4, 657.0) 17 stable stable trend 0.5 (-31.1, 46.5)
Gregory County 6,10 521.9 (443.0, 612.7) 37 stable stable trend -0.9 (-20.7, 23.8)
Buffalo County 6,10 531.6 (352.1, 763.7) 7
*
*
Haakon County 6,10 532.8 (415.8, 677.4) 16 rising rising trend 15.5 (7.6, 23.9)
Stanley County 6,10 542.1 (439.5, 663.4) 21 stable stable trend -2.6 (-8.2, 3.3)
Dewey County 6,10 555.7 (461.2, 663.3) 25 stable stable trend 2.8 (-13.3, 21.9)
Kingsbury County 6,10 577.0 (499.5, 664.5) 45 stable stable trend 3.3 (-23.5, 39.6)
Notes:
Created by statecancerprofiles.cancer.gov on 05/27/2016 6:21 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 1969-2013 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.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases 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 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2013 US Population Data File is used with NPCR November 2014 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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