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Incidence Rates Table

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Incidence Rate Report for West Virginia by County

Ovary, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Count
County
sort alphabetically by name ascending 		Met Healthy People Objective of ***?
 Age-Adjusted Incidence Rate†
cases per 100,000
(95% Confidence Interval)
sort by rate descending 		Average Annual Count
sort by count ascending 		Recent Trend
 Recent 5-Year Trend‡ in Incidence Rates
(95% Confidence Interval)
sort by trend descending
West Virginia 6,10 *** 12.7 (11.8, 13.7) 159 stable stable trend -1.6 (-7.1, 4.3)
US (SEER+NPCR) 1,10 *** 11.3 (11.3, 11.4) 21,476 falling falling trend -1.6 (-1.8, -1.5)
Kanawha County 6,10 *** 14.2 (11.4, 17.5) 20 stable stable trend -4.7 (-14.1, 5.7)
Cabell County 6,10 *** 15.1 (10.9, 20.4) 10 stable stable trend -4.4 (-18.2, 11.7)
Monongalia County 6,10 *** 14.3 (9.9, 20.1) 7 stable stable trend 18.8 (-21.5, 79.9)
Raleigh County 6,10 *** 13.5 (9.3, 19.2) 7 stable stable trend 0.9 (-19.1, 25.7)
Harrison County 6,10 *** 14.6 (10.0, 20.8) 7 stable stable trend 3.6 (-38.2, 73.6)
Berkeley County 6,10 *** 11.5 (7.9, 16.3) 7 stable stable trend -7.9 (-35.4, 31.4)
Marion County 6,10 *** 14.6 (9.3, 22.0) 5 stable stable trend 6.8 (-25.1, 52.3)
Mercer County 6,10 *** 11.6 (7.3, 17.8) 5 stable stable trend 13.5 (-43.4, 127.6)
Wood County 6,10 *** 8.7 (5.5, 13.2) 5 stable stable trend -26.1 (-47.7, 4.4)
Jefferson County 6,10 *** 13.6 (8.6, 20.6) 5 stable stable trend 6.3 (-35.5, 75.0)
Greenbrier County 6,10 *** 17.7 (10.8, 27.8) 5 stable stable trend -1.1 (-31.2, 42.0)
Logan County 6,10 *** 18.3 (11.2, 28.6) 4 stable stable trend 10.7 (-33.5, 84.3)
Fayette County 6,10 *** 12.5 (7.2, 20.5) 4 stable stable trend -12.9 (-42.4, 31.7)
Putnam County 6,10 *** 10.1 (6.0, 16.2) 4 stable stable trend -14.2 (-49.8, 46.5)
Ohio County 6,10 *** 10.6 (6.0, 17.8) 4 stable stable trend -13.5 (-49.2, 47.5)
Boone County 6,10 *** 20.0 (11.4, 33.4) 3
*
*
Wayne County 6,10 *** 13.2 (7.5, 21.7) 3
*
*
Mingo County 6,10 *** 20.3 (11.4, 33.9) 3
*
*
Barbour County 6,10 *
*
3 or fewer
*
*
Braxton County 6,10 *
*
3 or fewer
*
*
Brooke County 6,10 *
*
3 or fewer
*
*
Calhoun County 6,10 *
*
3 or fewer
*
*
Clay County 6,10 *
*
3 or fewer
*
*
Doddridge County 6,10 *
*
3 or fewer
*
*
Gilmer County 6,10 *
*
3 or fewer
*
*
Grant County 6,10 *
*
3 or fewer
*
*
Hampshire County 6,10 *
*
3 or fewer
*
*
Hancock County 6,10 *
*
3 or fewer
*
*
Hardy County 6,10 *
*
3 or fewer
*
*
Jackson County 6,10 *
*
3 or fewer
*
*
Lewis County 6,10 *
*
3 or fewer
*
*
Lincoln County 6,10 *
*
3 or fewer
*
*
Marshall County 6,10 *
*
3 or fewer
*
*
Mason County 6,10 *
*
3 or fewer
*
*
McDowell County 6,10 *
*
3 or fewer
*
*
Mineral County 6,10 *
*
3 or fewer
*
*
Monroe County 6,10 *
*
3 or fewer
*
*
Morgan County 6,10 *
*
3 or fewer
*
*
Nicholas County 6,10 *
*
3 or fewer
*
*
Pendleton County 6,10 *
*
3 or fewer
*
*
Pleasants County 6,10 *
*
3 or fewer
*
*
Pocahontas County 6,10 *
*
3 or fewer
*
*
Preston County 6,10 *
*
3 or fewer
*
*
Randolph County 6,10 *
*
3 or fewer
*
*
Ritchie County 6,10 *
*
3 or fewer
*
*
Roane County 6,10 *
*
3 or fewer
*
*
Summers County 6,10 *
*
3 or fewer
*
*
Taylor County 6,10 *
*
3 or fewer
*
*
Tucker County 6,10 *
*
3 or fewer
*
*
Tyler County 6,10 *
*
3 or fewer
*
*
Upshur County 6,10 *
*
3 or fewer
*
*
Webster County 6,10 *
*
3 or fewer
*
*
Wetzel County 6,10 *
*
3 or fewer
*
*
Wirt County 6,10 *
*
3 or fewer
*
*
Wyoming County 6,10 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/25/2018 1:32 pm.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

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 1969-2015 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.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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 2017 data submission and SEER November 2017 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission.
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 1969-2016 US Population Data File is used with NPCR November 2017 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.

Data for United States does not include Puerto Rico.

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