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Incidence Rates Report
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Incidence Rate Report for Oregon by County
All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages
Sorted by Rate
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County
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Annual Incidence Rate†
over rate period
(95% Confidence Interval)
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Average Annual Count
|
Rate Period
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| Oregon6 |
464.6 (461.6, 467.6) |
19,076 |
2005-2009 |
| US (SEER+NPCR)1 |
465.0 (464.7, 465.4) |
§ |
2005-2009 |
| Sherman County6 |
545.7 (413.2, 712.1) |
13 |
2005-2009 |
| Gilliam County6 |
510.9 (389.5, 664.2) |
13 |
2005-2009 |
| Lake County6 |
505.0 (443.8, 573.4) |
53 |
2005-2009 |
| Wallowa County6 |
493.5 (433.4, 561.3) |
56 |
2005-2009 |
| Columbia County6 |
490.3 (463.1, 518.7) |
256 |
2005-2009 |
| Josephine County6 |
484.7 (466.7, 503.3) |
597 |
2005-2009 |
| Jackson County6 |
482.5 (470.4, 495.0) |
1,244 |
2005-2009 |
| Marion County6 |
482.3 (471.4, 493.4) |
1,517 |
2005-2009 |
| Crook County6 |
481.8 (445.2, 520.8) |
136 |
2005-2009 |
| Clatsop County6 |
480.2 (452.4, 509.4) |
233 |
2005-2009 |
| Benton County6 |
479.0 (456.9, 501.8) |
374 |
2005-2009 |
| Multnomah County6 |
477.3 (469.7, 484.9) |
3,164 |
2005-2009 |
| Wasco County6 |
477.1 (442.6, 513.7) |
150 |
2005-2009 |
| Deschutes County6 |
476.3 (461.5, 491.4) |
819 |
2005-2009 |
| Yamhill County6 |
476.0 (456.9, 495.8) |
475 |
2005-2009 |
| Lincoln County6 |
474.7 (451.3, 499.3) |
334 |
2005-2009 |
| Douglas County6 |
472.3 (456.4, 488.7) |
715 |
2005-2009 |
| Coos County6 |
470.9 (451.2, 491.4) |
458 |
2005-2009 |
| Linn County6 |
469.4 (453.0, 486.3) |
635 |
2005-2009 |
| Union County6 |
469.0 (433.7, 506.5) |
139 |
2005-2009 |
| Curry County6 |
463.3 (431.2, 497.9) |
184 |
2005-2009 |
| Polk County6 |
457.6 (437.3, 478.5) |
403 |
2005-2009 |
| Clackamas County6 |
457.1 (447.7, 466.6) |
1,884 |
2005-2009 |
| Klamath County6 |
454.3 (433.5, 475.8) |
374 |
2005-2009 |
| Lane County6 |
452.9 (443.4, 462.6) |
1,787 |
2005-2009 |
| Morrow County6 |
448.6 (394.6, 508.0) |
52 |
2005-2009 |
| Umatilla County6 |
447.2 (426.0, 469.3) |
340 |
2005-2009 |
| Tillamook County6 |
439.9 (409.4, 472.4) |
166 |
2005-2009 |
| Jefferson County6 |
435.7 (395.7, 478.7) |
94 |
2005-2009 |
| Washington County6 |
435.1 (426.4, 444.0) |
1,976 |
2005-2009 |
| Hood River County6 |
431.1 (393.3, 471.6) |
97 |
2005-2009 |
| Baker County6 |
417.2 (380.2, 457.3) |
103 |
2005-2009 |
| Malheur County6 |
416.4 (386.3, 448.2) |
146 |
2005-2009 |
| Grant County6 |
396.5 (340.4, 460.5) |
42 |
2005-2009 |
| Harney County6 |
393.8 (339.0, 456.2) |
39 |
2005-2009 |
| Wheeler County6 |
352.0 (253.0, 492.5) |
9 |
2005-2009 |
Notes:
Created by statecancerprofiles.cancer.gov on 05/23/2013 11:10 am.
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.
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