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Incidence Rates Table

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Incidence Rate Report for by County

Ovary, 2009-2013

All Races (includes Hispanic), Female, All Ages

Sorted by Count
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 countascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Washington 5,10 12.4 (11.9, 12.9) 483 falling falling trend -5.3 (-8.7, -1.9)
US (SEER+NPCR) 1,10 11.6 (11.5, 11.7) 21,294 falling falling trend -2.1 (-2.9, -1.3)
King County 7,8 12.1 (11.2, 13.1) 133 falling falling trend -3.1 (-4.3, -2.0)
Pierce County 7,8 13.4 (11.9, 15.1) 58 falling falling trend -1.1 (-2.0, -0.1)
Snohomish County 7,8 14.2 (12.5, 16.0) 54 falling falling trend -1.1 (-1.8, -0.3)
Spokane County 6,10 12.2 (10.4, 14.2) 34 stable stable trend 4.9 (-9.5, 21.6)
Clark County 6,10 10.5 (8.6, 12.5) 25 stable stable trend -5.2 (-24.2, 18.5)
Kitsap County 7,8 13.3 (10.7, 16.3) 20 stable stable trend -0.7 (-1.8, 0.4)
Thurston County 7,8 12.3 (9.9, 15.1) 20 stable stable trend -1.5 (-3.1, 0.1)
Whatcom County 7,8 13.3 (10.5, 16.7) 16 falling falling trend -2.5 (-4.0, -0.9)
Yakima County 6,10 11.5 (8.9, 14.5) 14 falling falling trend -22.3 (-27.5, -16.7)
Benton County 6,10 10.8 (8.1, 14.2) 11 stable stable trend -10.1 (-44.1, 44.5)
Skagit County 7,8 13.5 (9.9, 18.0) 10 stable stable trend -1.0 (-3.2, 1.2)
Clallam County 7,8 11.7 (8.1, 16.8) 8 stable stable trend -1.9 (-4.4, 0.8)
Lewis County 6,10 13.5 (9.1, 19.5) 7 stable stable trend 13.1 (-3.2, 32.2)
Mason County 7 16.7 (11.1, 24.3) 6
*
*
Island County 7,8 9.9 (6.6, 14.6) 6 stable stable trend -1.4 (-3.9, 1.1)
Cowlitz County 6,10 8.1 (5.2, 12.1) 5 stable stable trend 15.1 (-28.8, 85.9)
Grays Harbor County 7,8 10.1 (6.5, 15.2) 5 stable stable trend -1.8 (-3.8, 0.4)
Okanogan County 6,10 18.1 (11.4, 27.5) 5 falling falling trend -26.1 (-44.8, -1.0)
Walla Walla County 6,10 12.3 (7.6, 19.1) 5 stable stable trend 6.0 (-49.2, 121.3)
Grant County 6,10 10.1 (6.3, 15.3) 4 stable stable trend 18.6 (-41.6, 140.8)
Chelan County 6,10 7.7 (4.5, 12.4) 4
*
*
Franklin County 6,10 12.4 (7.4, 19.4) 4 stable stable trend -28.1 (-48.8, 0.9)
Stevens County 6,10 13.7 (7.7, 22.8) 4 stable stable trend 39.9 (-22.3, 152.1)
Kittitas County 6,10 15.5 (8.8, 25.5) 3
*
*
Adams County 6,10
*
3 or fewer
*
*
Asotin County 6,10
*
3 or fewer
*
*
Columbia County 6,10
*
3 or fewer
*
*
Douglas County 6,10
*
3 or fewer
*
*
Ferry County 6,10
*
3 or fewer
*
*
Garfield County 6,10
*
3 or fewer
*
*
Jefferson County 7,8
*
3 or fewer
*
*
Klickitat County 6,10
*
3 or fewer
*
*
Lincoln County 6,10
*
3 or fewer
*
*
Pacific County 6,10
*
3 or fewer
*
*
Pend Oreille County 6,10
*
3 or fewer
*
*
San Juan County 7
*
3 or fewer
*
*
Skamania County 6,10
*
3 or fewer
*
*
Wahkiakum County 6,10
*
3 or fewer
*
*
Whitman County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/29/2016 9:47 pm.
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 1969-2014 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records 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 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
5 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission. State rates include rates from metropolitan areas funded by SEER.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
7 Source: SEER November 2015 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 1969-2014 US Population Data File is used with SEER November 2015 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 1969-2014 US Population Data File is used with NPCR November 2015 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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