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Incidence Rates Table

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Incidence Rate Report for by County

Breast, 2008-2012

All Races (includes Hispanic), Female, 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
Oregon 6,10 128.4 (126.3, 130.6) 2,976 stable stable trend -0.7 (-3.1, 1.7)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Grant County 6,10 75.1 (45.6, 120.3) 5
*
*
Jefferson County 6,10 89.7 (67.2, 117.6) 11
*
*
Wallowa County 6,10 90.1 (58.9, 136.8) 6
*
*
Curry County 6,10 98.6 (78.5, 123.6) 21 stable stable trend -12.9 (-28.4, 6.1)
Douglas County 6,10 102.0 (92.1, 112.7) 86 stable stable trend -7.5 (-16.6, 2.6)
Crook County 6,10 103.4 (79.7, 132.3) 15 stable stable trend -6.1 (-16.6, 5.7)
Harney County 6,10 106.0 (65.3, 163.7) 5
*
*
Klamath County 6,10 110.7 (96.5, 126.5) 48 stable stable trend 5.3 (-0.7, 11.7)
Umatilla County 6,10 112.6 (98.3, 128.6) 46 stable stable trend -4.8 (-15.3, 7.0)
Coos County 6,10 112.9 (99.3, 128.1) 56 stable stable trend 0.5 (-9.1, 11.1)
Baker County 6,10 115.1 (89.5, 147.2) 15 rising rising trend 30.8 (6.8, 60.1)
Hood River County 6,10 115.5 (89.6, 146.7) 14
*
*
Tillamook County 6,10 115.8 (94.8, 141.0) 24 stable stable trend -8.3 (-25.2, 12.4)
Lane County 6,10 116.3 (109.8, 123.2) 256 falling falling trend -11.6 (-21.0, -1.0)
Lincoln County 6,10 117.2 (101.2, 135.5) 47 stable stable trend 1.8 (-8.3, 12.9)
Clatsop County 6,10 118.7 (99.7, 140.5) 30 stable stable trend -2.0 (-27.2, 32.1)
Union County 6,10 120.1 (96.5, 148.0) 20 stable stable trend -4.5 (-42.9, 59.9)
Marion County 6,10 120.9 (113.6, 128.5) 216 stable stable trend -3.9 (-9.0, 1.5)
Benton County 6,10 122.0 (107.7, 137.8) 56 stable stable trend -7.2 (-17.9, 4.8)
Wasco County 6,10 122.6 (98.6, 150.9) 20 stable stable trend -1.7 (-24.3, 27.8)
Morrow County 6,10 125.1 (87.2, 174.2) 7
*
*
Deschutes County 6,10 128.5 (118.5, 139.2) 129 stable stable trend -0.5 (-13.0, 13.8)
Malheur County 6,10 130.1 (106.3, 157.7) 22 stable stable trend 2.1 (-28.8, 46.3)
Columbia County 6,10 131.5 (113.6, 151.6) 41 stable stable trend 7.9 (-8.5, 27.3)
Linn County 6,10 131.9 (120.1, 144.5) 98 stable stable trend -2.7 (-11.5, 7.1)
Jackson County 6,10 133.5 (124.8, 142.8) 189 stable stable trend 1.4 (-10.9, 15.5)
Washington County 6,10 134.0 (127.9, 140.4) 372 stable stable trend 1.4 (-4.7, 7.8)
Josephine County 6,10 136.6 (123.2, 151.3) 90 stable stable trend 6.0 (-12.0, 27.6)
Multnomah County 6,10 137.8 (132.5, 143.2) 539 stable stable trend 1.1 (-2.5, 4.8)
Yamhill County 6,10 140.3 (126.6, 155.1) 81 stable stable trend -4.9 (-13.6, 4.7)
Clackamas County 6,10 141.3 (134.4, 148.5) 333 stable stable trend 3.5 (-2.5, 9.8)
Polk County 6,10 142.0 (126.5, 159.0) 65 stable stable trend 3.9 (-21.2, 37.1)
Lake County 6,10 149.7 (108.1, 205.5) 9
*
*
Gilliam County 6,10 216.4 (116.6, 383.3) 3
*
*
Sherman County 6,10
*
3 or fewer
*
*
Wheeler County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/04/2016 11:29 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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