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Incidence Rates Table

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Incidence Rate Report for Iowa by County

All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
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Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Iowa 3,8 473.3 (470.1, 476.6) 16,935 2008-2012 stable stable trend -1.4 (-3.8, 1.1)
US (SEER+NPCR) 1,10 453.8 (453.5, 454.1) 1,526,274 § 2008-2012 falling falling trend -2.1 (-2.9, -1.2)
Poweshiek County 7,8 390.3 (355.6, 427.8) 100 2008-2012 stable stable trend -0.4 (-1.1, 0.4)
Wayne County 7,8 398.5 (341.1, 464.0) 38 2008-2012 stable stable trend -0.4 (-1.8, 1.0)
Humboldt County 7,8 408.5 (361.6, 460.6) 60 2008-2012 stable stable trend -0.6 (-1.4, 0.1)
Jefferson County 7,8 423.6 (382.6, 468.1) 90 2008-2012 stable stable trend 0.1 (-0.7, 1.0)
Lucas County 7,8 425.1 (375.2, 480.6) 56 2008-2012 stable stable trend -1.8 (-3.7, 0.3)
Buena Vista County 7,8 426.3 (388.8, 466.5) 102 2008-2012 falling falling trend -0.8 (-1.4, -0.2)
Mitchell County 7,8 426.7 (379.1, 479.3) 67 2008-2012 stable stable trend -0.2 (-1.2, 0.7)
Emmet County 7,8 426.9 (378.1, 480.7) 61 2008-2012 stable stable trend -0.3 (-1.2, 0.6)
Davis County 7,8 427.3 (373.0, 487.5) 47 2008-2012 stable stable trend 0.3 (-0.9, 1.6)
Sioux County 7,8 427.3 (397.5, 458.8) 160 2008-2012 stable stable trend -0.3 (-0.9, 0.3)
Allamakee County 7,8 428.5 (387.2, 473.4) 86 2008-2012 stable stable trend -9.2 (-21.1, 4.5)
Bremer County 7,8 430.9 (397.8, 466.2) 133 2008-2012 stable stable trend -0.5 (-1.2, 0.1)
Winneshiek County 7,8 431.4 (395.2, 470.2) 113 2008-2012 stable stable trend 0.4 (-0.5, 1.2)
Union County 7,8 431.6 (386.9, 480.5) 73 2008-2012 stable stable trend -0.7 (-1.4, 0.0)
Osceola County 7,8 432.9 (372.2, 501.5) 39 2008-2012 stable stable trend 0.5 (-0.7, 1.8)
Ringgold County 7,8 433.2 (369.1, 506.9) 37 2008-2012 stable stable trend -0.0 (-1.3, 1.3)
Madison County 7,8 434.2 (391.7, 480.2) 79 2008-2012 stable stable trend -0.0 (-1.0, 1.0)
Boone County 7,8 434.9 (402.8, 468.9) 143 2008-2012 stable stable trend -0.4 (-1.1, 0.4)
Guthrie County 7,8 437.9 (391.4, 489.1) 70 2008-2012 stable stable trend -0.4 (-1.1, 0.3)
Cherokee County 7,8 438.1 (394.3, 486.0) 83 2008-2012 stable stable trend -0.5 (-1.4, 0.4)
Dallas County 7,8 438.9 (415.2, 463.5) 267 2008-2012 stable stable trend -0.3 (-0.9, 0.2)
Adair County 7,8 440.7 (386.8, 501.0) 51 2008-2012 stable stable trend 0.7 (-0.6, 1.9)
Palo Alto County 7,8 442.3 (390.5, 499.6) 60 2008-2012 stable stable trend -0.6 (-1.5, 0.4)
Carroll County 7,8 443.1 (407.2, 481.4) 124 2008-2012 falling falling trend -0.8 (-1.2, -0.3)
Pocahontas County 7,8 443.6 (385.1, 509.5) 48 2008-2012 stable stable trend -0.0 (-0.8, 0.7)
Butler County 7,8 444.5 (403.4, 489.0) 95 2008-2012 falling falling trend -0.8 (-1.3, -0.2)
Jones County 7,8 445.7 (410.4, 483.4) 123 2008-2012 stable stable trend -0.4 (-1.0, 0.2)
Benton County 7,8 445.9 (413.0, 480.9) 141 2008-2012 stable stable trend -0.4 (-1.0, 0.2)
Winnebago County 7,8 446.6 (398.2, 499.8) 67 2008-2012 stable stable trend 0.5 (-0.3, 1.3)
Shelby County 7,8 446.8 (402.0, 495.7) 80 2008-2012 rising rising trend 0.9 (0.1, 1.7)
Hamilton County 7,8 449.8 (408.6, 494.2) 94 2008-2012 stable stable trend -0.6 (-1.2, 0.0)
Delaware County 7,8 451.7 (412.3, 494.1) 102 2008-2012 stable stable trend 0.1 (-0.6, 0.8)
Story County 7,8 451.8 (430.1, 474.3) 340 2008-2012 stable stable trend 0.1 (-0.4, 0.5)
Wright County 7,8 453.2 (409.5, 500.8) 87 2008-2012 stable stable trend -0.3 (-1.1, 0.5)
Sac County 7,8 456.2 (407.4, 509.8) 73 2008-2012 stable stable trend 0.4 (-0.4, 1.2)
Clayton County 7,8 456.7 (418.7, 497.5) 116 2008-2012 stable stable trend -0.1 (-0.8, 0.6)
Clarke County 7,8 457.8 (404.1, 517.2) 55 2008-2012 stable stable trend 0.4 (-0.8, 1.7)
Decatur County 7,8 458.3 (402.3, 520.6) 51 2008-2012 stable stable trend -0.1 (-0.9, 0.8)
O'Brien County 7,8 459.7 (417.5, 505.4) 97 2008-2012 stable stable trend -0.1 (-0.9, 0.7)
Crawford County 7,8 461.2 (420.2, 505.4) 98 2008-2012 stable stable trend 0.0 (-0.8, 0.9)
Iowa County 7,8 463.3 (422.1, 507.7) 99 2008-2012 stable stable trend 0.5 (-0.5, 1.6)
Van Buren County 7,8 463.5 (406.0, 527.6) 50 2008-2012 stable stable trend -0.2 (-1.0, 0.7)
Howard County 7,8 465.5 (412.3, 524.1) 60 2008-2012 stable stable trend 0.1 (-0.9, 1.2)
Jasper County 7,8 466.2 (438.6, 495.3) 221 2008-2012 stable stable trend -0.1 (-0.7, 0.4)
Keokuk County 7,8 466.9 (416.3, 522.4) 67 2008-2012 stable stable trend -0.3 (-1.2, 0.5)
Marshall County 7,8 467.0 (440.2, 495.2) 239 2008-2012 falling falling trend -0.6 (-1.1, -0.2)
Chickasaw County 7,8 467.7 (421.8, 517.6) 81 2008-2012 stable stable trend 0.4 (-0.4, 1.2)
Fayette County 7,8 467.8 (432.2, 505.9) 138 2008-2012 stable stable trend -0.2 (-0.6, 0.2)
Plymouth County 7,8 467.9 (433.6, 504.4) 146 2008-2012 stable stable trend -0.1 (-0.7, 0.5)
Woodbury County 7,8 469.7 (451.4, 488.6) 509 2008-2012 stable stable trend -0.3 (-0.7, 0.1)
Worth County 7,8 470.0 (410.7, 536.2) 49 2008-2012 stable stable trend 0.5 (-0.7, 1.6)
Cass County 7,8 470.8 (428.0, 517.1) 97 2008-2012 stable stable trend -0.0 (-0.8, 0.8)
Marion County 7,8 471.0 (441.1, 502.5) 191 2008-2012 stable stable trend 0.2 (-0.2, 0.7)
Johnson County 7,8 473.8 (455.0, 493.2) 511 2008-2012 stable stable trend -1.1 (-2.5, 0.2)
Linn County 7,8 474.8 (462.0, 487.7) 1,082 2008-2012 falling falling trend -0.8 (-1.3, -0.4)
Taylor County 7,8 475.5 (413.1, 545.7) 46 2008-2012 stable stable trend 0.2 (-0.9, 1.3)
Louisa County 7,8 475.6 (425.0, 530.9) 66 2008-2012 stable stable trend 0.3 (-0.6, 1.3)
Harrison County 7,8 477.6 (434.2, 524.5) 95 2008-2012 stable stable trend 0.0 (-0.7, 0.7)
Clay County 7,8 477.7 (436.7, 521.7) 108 2008-2012 stable stable trend 0.0 (-0.5, 0.6)
Audubon County 7,8 477.8 (414.5, 549.4) 47 2008-2012 stable stable trend 0.5 (-0.4, 1.5)
Lyon County 7,8 478.3 (428.0, 533.2) 70 2008-2012 stable stable trend 0.3 (-0.5, 1.0)
Washington County 7,8 479.6 (442.8, 518.7) 135 2008-2012 stable stable trend 0.6 (0.0, 1.3)
Kossuth County 7,8 480.0 (438.1, 525.3) 111 2008-2012 stable stable trend 0.4 (-0.2, 1.0)
Muscatine County 7,8 480.5 (452.8, 509.6) 232 2008-2012 stable stable trend -0.1 (-0.5, 0.3)
Polk County 7,8 481.1 (471.5, 490.8) 2,000 2008-2012 stable stable trend -0.1 (-0.3, 0.1)
Mahaska County 7,8 482.1 (445.3, 521.3) 133 2008-2012 stable stable trend 0.5 (-0.3, 1.2)
Montgomery County 7,8 482.3 (432.0, 537.5) 74 2008-2012 stable stable trend 0.2 (-0.4, 0.9)
Buchanan County 7,8 482.7 (444.3, 523.6) 121 2008-2012 stable stable trend -0.1 (-0.8, 0.6)
Clinton County 7,8 483.1 (458.6, 508.6) 305 2008-2012 stable stable trend -0.2 (-0.6, 0.3)
Monona County 7,8 483.2 (431.2, 540.6) 71 2008-2012 stable stable trend 0.0 (-0.7, 0.8)
Henry County 7,8 484.9 (446.3, 526.1) 122 2008-2012 stable stable trend 0.3 (-0.6, 1.1)
Mills County 7,8 486.0 (440.3, 535.5) 88 2008-2012 stable stable trend -0.3 (-1.1, 0.5)
Webster County 7,8 486.3 (458.1, 515.8) 234 2008-2012 falling falling trend -0.5 (-1.0, -0.1)
Fremont County 7,8 487.2 (426.5, 554.9) 51 2008-2012 stable stable trend 0.2 (-0.6, 1.0)
Hardin County 7,8 487.9 (447.5, 531.3) 122 2008-2012 stable stable trend -0.2 (-0.9, 0.5)
Dubuque County 7,8 488.1 (469.6, 507.2) 544 2008-2012 falling falling trend -0.4 (-0.7, -0.2)
Franklin County 7,8 488.4 (436.8, 544.9) 72 2008-2012 rising rising trend 1.0 (0.2, 1.8)
Black Hawk County 7,8 488.7 (472.3, 505.5) 705 2008-2012 stable stable trend -0.2 (-0.5, 0.1)
Appanoose County 7,8 489.7 (444.3, 538.9) 92 2008-2012 stable stable trend -11.1 (-25.3, 5.8)
Monroe County 7,8 490.5 (431.2, 556.3) 53 2008-2012 rising rising trend 0.7 (0.1, 1.3)
Hancock County 7,8 492.1 (442.5, 546.3) 78 2008-2012 rising rising trend 1.2 (0.2, 2.2)
Grundy County 7,8 492.9 (445.2, 544.7) 84 2008-2012 stable stable trend 0.6 (-0.4, 1.6)
Pottawattamie County 7,8 492.9 (474.0, 512.4) 530 2008-2012 stable stable trend -2.4 (-5.4, 0.7)
Cerro Gordo County 7,8 493.5 (468.0, 520.1) 299 2008-2012 stable stable trend 0.2 (-0.2, 0.6)
Tama County 7,8 493.6 (453.3, 536.7) 119 2008-2012 stable stable trend 0.0 (-0.6, 0.7)
Floyd County 7,8 494.0 (452.4, 538.6) 113 2008-2012 stable stable trend 0.1 (-0.7, 0.9)
Warren County 7,8 495.8 (468.5, 524.3) 254 2008-2012 stable stable trend 0.4 (-0.1, 0.9)
Cedar County 7,8 500.8 (460.2, 544.2) 119 2008-2012 rising rising trend 1.0 (0.1, 1.8)
Scott County 7,8 501.4 (486.7, 516.5) 913 2008-2012 stable stable trend 0.2 (-0.2, 0.5)
Greene County 7,8 506.1 (451.5, 566.1) 70 2008-2012 stable stable trend 1.1 (-0.2, 2.4)
Page County 7,8 506.9 (464.9, 552.1) 116 2008-2012 rising rising trend 1.0 (0.4, 1.7)
Des Moines County 7,8 508.3 (480.9, 537.0) 272 2008-2012 stable stable trend 0.4 (-0.2, 1.0)
Lee County 7,8 509.2 (480.0, 539.8) 241 2008-2012 stable stable trend 0.4 (-0.1, 0.8)
Wapello County 7,8 516.3 (486.3, 547.7) 231 2008-2012 stable stable trend 0.4 (-0.1, 0.8)
Calhoun County 7,8 528.1 (473.7, 587.7) 80 2008-2012 rising rising trend 1.0 (0.3, 1.7)
Dickinson County 7,8 528.4 (487.4, 572.3) 139 2008-2012 stable stable trend 0.3 (-0.4, 0.9)
Adams County 7,8 533.1 (449.8, 629.1) 32 2008-2012 rising rising trend 1.7 (0.7, 2.7)
Jackson County 7,8 543.5 (503.5, 586.1) 146 2008-2012 stable stable trend 0.5 (-0.2, 1.1)
Ida County 7,8 548.4 (483.0, 620.9) 57 2008-2012 rising rising trend 1.2 (0.3, 2.1)
Notes:
Created by statecancerprofiles.cancer.gov on 08/04/2015 5:43 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.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
3 Source: SEER November 2014 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2014 submission.
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The 1969-2013 US Population Data File is used with SEER November 2014 data.
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.

Suppression is used to avoid misinterpretation when rates are unstable.

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