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	Incidence Rate Report for Idaho by County All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages Sorted by Rate County Annual Incidence Rate† over rate period (95% Confidence Interval) Average Annual Count Rate Period Idaho 6 454.4 (449.5, 459.3) 6,676 2005-2009 US (SEER+NPCR) 1 465.0 (464.7, 465.4) § 2005-2009 Franklin County 6 336.5 (289.8, 388.4) 38 2005-2009 Cassia County 6 343.3 (309.3, 380.2) 76 2005-2009 Madison County 6 345.3 (307.7, 385.9) 66 2005-2009 Butte County 6 345.8 (261.0, 451.2) 12 2005-2009 Oneida County 6 354.7 (282.2, 440.9) 18 2005-2009 Clark County 6 369.7 (214.1, 595.0) 3 2005-2009 Caribou County 6 372.7 (314.9, 438.4) 30 2005-2009 Latah County 6 380.5 (350.2, 412.8) 122 2005-2009 Bannock County 6 391.6 (371.2, 412.7) 284 2005-2009 Bear Lake County 6 393.7 (329.8, 467.1) 29 2005-2009 Power County 6 393.8 (331.6, 464.2) 29 2005-2009 Lemhi County 6 401.5 (350.1, 459.4) 48 2005-2009 Idaho County 6 403.9 (366.0, 445.1) 91 2005-2009 Blaine County 6 404.0 (365.0, 446.0) 89 2005-2009 Fremont County 6 407.2 (357.7, 461.6) 50 2005-2009 Adams County 6 410.4 (329.4, 507.6) 20 2005-2009 Custer County 6 412.5 (337.0, 501.6) 23 2005-2009 Minidoka County 6 415.7 (377.2, 457.3) 87 2005-2009 Bonneville County 6 417.3 (398.2, 437.1) 364 2005-2009 Lincoln County 6 423.1 (341.2, 518.7) 19 2005-2009 Bingham County 6 430.8 (402.1, 460.9) 171 2005-2009 Teton County 6 434.0 (349.9, 530.5) 23 2005-2009 Jefferson County 6 435.4 (393.5, 480.4) 82 2005-2009 Washington County 6 436.6 (387.1, 491.1) 60 2005-2009 Owyhee County 6 453.7 (400.0, 512.6) 52 2005-2009 Benewah County 6 453.9 (401.0, 512.4) 56 2005-2009 Nez Perce County 6 463.5 (436.9, 491.3) 237 2005-2009 Canyon County 6 468.5 (453.2, 484.2) 721 2005-2009 Camas County 6 469.3 (307.8, 687.2) 6 2005-2009 Bonner County 6 473.1 (445.6, 502.0) 239 2005-2009 Payette County 6 473.6 (435.4, 514.4) 116 2005-2009 Ada County 6 477.1 (466.5, 488.0) 1,571 2005-2009 Boise County 6 479.1 (408.6, 558.7) 39 2005-2009 Twin Falls County 6 480.3 (458.7, 502.6) 383 2005-2009 Kootenai County 6 480.5 (464.7, 496.7) 718 2005-2009 Jerome County 6 483.1 (439.7, 529.6) 92 2005-2009 Gooding County 6 483.5 (436.3, 534.5) 78 2005-2009 Gem County 6 485.8 (443.8, 531.0) 103 2005-2009 Valley County 6 492.2 (431.2, 559.8) 52 2005-2009 Boundary County 6 492.4 (437.5, 552.5) 62 2005-2009 Clearwater County 6 493.3 (437.3, 555.5) 61 2005-2009 Shoshone County 6 501.2 (455.4, 550.9) 92 2005-2009 Lewis County 6 509.6 (427.1, 606.1) 30 2005-2009 Elmore County 6 534.1 (490.2, 580.7) 113 2005-2009 Notes: Created by statecancerprofiles.cancer.gov on 05/21/2013 9:17 pm. 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 US populations included with the data release have been adjusted for the population shifts due to hurricanes Katrina and Rita for 62 counties and parishes in Alabama, Mississippi, Louisiana, and Texas. The 1969-2009 US Population Data File is used for SEER and NPCR incidence rates. § Because of the impact on Louisiana's population for the July - December 2005 time period due to Hurricanes Katrina/Rita, SEER excluded Louisiana cases diagnosed for that six month time period. The count has been suppressed due to data consistency issues. 1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2012 data submission and SEER November 2011 submission. 6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2012 data submission. State rates include rates from metropolitan areas funded by SEER. 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.	Export Data Interpret Make Map Printable View

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