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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

West Virginia Counties versus United States

Breast

All Races, Female

Sorted by priority index
Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling falling trend - 42,101 19.6 (19.5, 19.7) - -1.3 (-1.4, -1.1)
West Virginia - falling falling trend - 286 21.2 (20.0, 22.4) - -1.3 (-1.6, -1.1)
Boone County 6 stable stable trend similar 5 29.9 (19.1, 45.8) 1.5 1.8 (-0.1, 3.8)
Brooke County 6 stable stable trend similar 4 22.3 (12.8, 37.0) 1.1 -1.8 (-4.1, 0.6)
Cabell County 6 stable stable trend similar 16 25.3 (19.8, 32.0) 1.3 -0.9 (-1.8, 0.1)
Fayette County 6 stable stable trend similar 9 27.2 (19.6, 37.2) 1.4 -1.2 (-2.8, 0.4)
Greenbrier County 6 stable stable trend similar 6 18.3 (11.8, 27.9) 0.9 -0.7 (-2.4, 1.0)
Jefferson County 6 stable stable trend similar 8 22.5 (16.0, 31.0) 1.1 -0.9 (-2.6, 0.9)
Logan County 6 stable stable trend similar 7 27.3 (18.3, 39.6) 1.4 -0.9 (-2.9, 1.0)
Marion County 6 stable stable trend similar 8 22.7 (16.0, 31.5) 1.2 -0.5 (-1.9, 0.9)
Marshall County 6 stable stable trend similar 5 20.8 (12.8, 32.5) 1.1 -1.1 (-2.6, 0.5)
Mason County 6 stable stable trend similar 5 24.0 (15.0, 36.9) 1.2 -1.4 (-2.8, 0.1)
McDowell County 6 stable stable trend similar 3 21.1 (12.1, 36.1) 1.1 -0.9 (-3.5, 1.7)
Mercer County 6 stable stable trend similar 11 22.9 (16.8, 30.8) 1.2 -1.4 (-2.9, 0.1)
Mineral County 6 stable stable trend similar 6 26.5 (17.2, 39.9) 1.4 -1.6 (-3.5, 0.3)
Mingo County 6 stable stable trend similar 4 20.7 (12.3, 33.6) 1.1 -0.8 (-3.4, 1.8)
Morgan County 6 stable stable trend similar 3 20.8 (11.8, 36.1) 1.1 -1.5 (-3.6, 0.6)
Ohio County 6 stable stable trend similar 9 24.9 (17.4, 34.9) 1.3 -0.1 (-1.7, 1.5)
Preston County 6 stable stable trend similar 5 22.4 (14.1, 34.2) 1.1 -1.0 (-2.5, 0.6)
Putnam County 6 stable stable trend similar 9 23.7 (17.2, 32.1) 1.2 -0.7 (-2.4, 1.0)
Randolph County 6 stable stable trend similar 6 25.2 (16.6, 37.5) 1.3 0.6 (-1.3, 2.4)
Wayne County 6 stable stable trend similar 6 17.2 (11.1, 26.0) 0.9 -1.4 (-3.2, 0.3)
Wood County 6 stable stable trend similar 13 18.7 (14.4, 24.2) 1.0 -0.2 (-1.4, 1.1)
Berkeley County 8 falling falling trend similar 17 24.6 (19.5, 30.7) 1.3 -1.3 (-2.4, -0.1)
Harrison County 8 falling falling trend similar 10 19.4 (14.1, 26.2) 1.0 -1.5 (-2.6, -0.4)
Kanawha County 8 falling falling trend similar 28 18.9 (15.7, 22.6) 1.0 -1.8 (-2.5, -1.1)
Monongalia County 8 falling falling trend similar 10 17.7 (13.0, 23.8) 0.9 -2.1 (-3.5, -0.7)
Nicholas County 8 falling falling trend similar 4 21.5 (12.4, 35.2) 1.1 -2.6 (-4.4, -0.9)
Raleigh County 8 falling falling trend similar 14 23.8 (18.3, 30.6) 1.2 -1.5 (-2.5, -0.6)
Hampshire County
**
** similar 3 19.6 (10.6, 34.0) 1.0
**
Hancock County
**
** lower 3 11.1 (6.3, 19.6) 0.6
**
Jackson County
**
** similar 5 19.2 (12.1, 29.9) 1.0
**
Lewis County
**
** similar 3 30.2 (16.8, 51.0) 1.5
**
Upshur County
**
** similar 5 29.8 (19.1, 44.9) 1.5
**
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
*
*
**
Hardy County
**
**
*
3 or fewer
*
*
**
Lincoln County
**
**
*
3 or fewer
*
*
**
Monroe County
**
**
*
3 or fewer
*
*
**
Pendleton County
**
**
*
3 or fewer
*
*
**
Pleasants County
**
**
*
3 or fewer
*
*
**
Pocahontas County
**
**
*
3 or fewer
*
*
**
Ritchie County
**
**
*
3 or fewer
*
*
**
Roane 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 03/29/2024 6:20 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Barbour County, Braxton County, Calhoun County, Clay County, Doddridge County, Gilmer County, Grant County, Hardy County, Lincoln County, Monroe County, Pendleton County, Pleasants County, Pocahontas County, Ritchie County, Roane County, Summers County, Taylor County, Tucker County, Tyler County, Webster County, Wetzel County, Wirt County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Hampshire County, Hancock County, Jackson County, Lewis County, Upshur County


Interpret Rankings provides insight into interpreting cancer 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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