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Death Rates Table

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Death Rate Report for West Virginia by County

Breast, 2013-2017

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 20.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
West Virginia No 21.8 (20.6, 23.0) N/A 289 falling falling trend -1.4 (-1.6, -1.1)
United States Yes 20.3 (20.2, 20.4) N/A 41,416 falling falling trend -1.4 (-1.6, -1.3)
Roane County No 37.9 (23.0, 60.3) 1 (1, 27) 4
*
*
Lewis County No 35.2 (20.8, 56.6) 2 (1, 30) 4 stable stable trend 1.3 (-0.7, 3.4)
Cabell County No 31.1 (24.9, 38.5) 3 (1, 17) 19 stable stable trend -0.9 (-2.0, 0.2)
Boone County No 28.5 (18.0, 43.8) 4 (1, 31) 5 stable stable trend 1.8 (-0.6, 4.3)
Ohio County No 27.9 (19.8, 38.5) 5 (1, 28) 9 stable stable trend -0.2 (-2.1, 1.8)
McDowell County No 27.9 (17.3, 43.7) 6 (1, 31) 4 stable stable trend 0.2 (-2.6, 3.1)
Marion County No 27.4 (20.2, 36.4) 7 (1, 27) 11 stable stable trend -0.6 (-2.1, 1.0)
Upshur County No 25.9 (16.2, 40.0) 8 (1, 31) 5
*
*
Logan County No 25.9 (17.8, 37.0) 9 (1, 30) 7 stable stable trend -1.1 (-3.2, 1.0)
Mason County No 25.1 (15.9, 38.3) 10 (1, 31) 5 stable stable trend -1.0 (-2.8, 0.7)
Preston County No 24.9 (15.8, 37.6) 11 (1, 31) 5 stable stable trend -1.0 (-2.9, 0.9)
Wayne County No 24.7 (17.1, 34.9) 12 (1, 30) 7 stable stable trend -0.5 (-2.3, 1.4)
Wood County No 24.0 (18.7, 30.4) 13 (3, 28) 15 stable stable trend 0.3 (-1.2, 1.7)
Putnam County No 23.5 (16.9, 32.1) 14 (2, 30) 9 stable stable trend -0.3 (-2.3, 1.7)
Jefferson County No 23.5 (16.5, 32.5) 15 (2, 30) 8 stable stable trend -1.2 (-3.0, 0.7)
Mineral County No 23.0 (14.9, 34.9) 16 (1, 31) 5 stable stable trend -1.8 (-4.0, 0.5)
Mingo County No 22.8 (13.9, 35.9) 17 (1, 31) 4 stable stable trend -0.3 (-3.4, 2.9)
Greenbrier County No 22.3 (15.1, 32.3) 18 (2, 31) 7 stable stable trend -0.5 (-2.5, 1.5)
Berkeley County No 22.3 (17.2, 28.3) 19 (5, 29) 14 stable stable trend -1.4 (-2.8, 0.0)
Raleigh County Yes 20.3 (15.3, 26.6) 20 (6, 31) 12 falling falling trend -2.0 (-3.1, -0.8)
Fayette County Yes 20.3 (14.2, 28.5) 21 (5, 31) 8 falling falling trend -2.0 (-3.6, -0.4)
Hancock County Yes 20.2 (13.1, 30.6) 22 (3, 31) 5 falling falling trend -1.8 (-3.2, -0.4)
Kanawha County Yes 19.8 (16.7, 23.5) 23 (11, 30) 30 falling falling trend -1.7 (-2.5, -0.9)
Marshall County Yes 19.3 (12.2, 29.8) 24 (4, 31) 5 stable stable trend -0.9 (-2.8, 0.9)
Mercer County Yes 19.2 (13.8, 26.2) 25 (6, 31) 9 falling falling trend -2.1 (-3.8, -0.4)
Randolph County Yes 19.2 (11.5, 30.7) 26 (3, 31) 4 stable stable trend 0.9 (-1.5, 3.3)
Nicholas County Yes 18.7 (10.7, 31.1) 27 (3, 31) 4 falling falling trend -3.3 (-5.3, -1.3)
Brooke County Yes 17.7 (9.9, 30.5) 28 (3, 31) 3 stable stable trend -1.4 (-4.0, 1.2)
Jackson County Yes 17.5 (10.5, 28.1) 29 (5, 31) 4
*
*
Monongalia County Yes 17.1 (12.3, 23.2) 30 (10, 31) 9 falling falling trend -2.0 (-3.6, -0.4)
Harrison County Yes 15.1 (10.4, 21.2) 31 (15, 31) 7 falling falling trend -2.1 (-3.3, -0.8)
Barbour County ***
*
*
3 or fewer
*
*
Braxton County ***
*
*
3 or fewer
*
*
Calhoun County ***
*
*
3 or fewer
*
*
Clay County ***
*
*
3 or fewer
*
*
Doddridge County ***
*
*
3 or fewer
*
*
Gilmer County ***
*
*
3 or fewer
*
*
Grant County ***
*
*
3 or fewer
*
*
Hampshire County ***
*
*
3 or fewer
*
*
Hardy County ***
*
*
3 or fewer
*
*
Lincoln County ***
*
*
3 or fewer
*
*
Monroe County ***
*
*
3 or fewer
*
*
Morgan County ***
*
*
3 or fewer
*
*
Pendleton County ***
*
*
3 or fewer
*
*
Pleasants County ***
*
*
3 or fewer
*
*
Pocahontas County ***
*
*
3 or fewer
*
*
Ritchie County ***
*
*
3 or fewer
*
*
Summers County ***
*
*
3 or fewer
*
*
Taylor County ***
*
*
3 or fewer
*
*
Tucker County ***
*
*
3 or fewer
*
*
Tyler County ***
*
*
3 or fewer
*
*
Webster County ***
*
*
3 or fewer
*
*
Wetzel County ***
*
*
3 or fewer
*
*
Wirt County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/07/2020 6:06 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2017 US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

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).


Please note that the data comes 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 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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