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Death Rates Table

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Death Rate Report for West Virginia by County

Lung & Bronchus, 2008 - 2012

All Races (includes Hispanic), Both Sexes, All Ages


Healthy People 2020 Objective Number: C-2
Reduce the lung cancer death rate

Sorted by Count
County
sort ascending
Met Healthy People Objective of 45.5? 1 Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
sort descending
Average Deaths per Year
sorted descending, sort ascending
Recent Trend 2 Recent 5-Year Trend2
in Death Rates
(95% Confidence Interval)
sort descending
West Virginia (State) No 62.7 (61.3, 64.1) 1,514 falling falling trend -1.4 (-1.8, -0.9)
United States No 47.2 (47.1, 47.3) 157,859 falling falling trend -2.3 (-2.5, -2.1)
Kanawha County No 65.0 (60.6, 69.6) 170 falling falling trend -1.1 (-1.7, -0.5)
Cabell County No 64.5 (58.1, 71.3) 78 stable stable trend -0.3 (-1.0, 0.4)
Wood County No 61.9 (55.6, 68.7) 72 falling falling trend -1.2 (-2.1, -0.2)
Berkeley County No 69.3 (62.1, 77.2) 70 stable stable trend -0.5 (-1.6, 0.6)
Raleigh County No 56.5 (50.2, 63.5) 59 stable stable trend -0.9 (-1.7, 0.0)
Harrison County No 61.7 (54.6, 69.4) 57 stable stable trend -0.8 (-1.8, 0.1)
Mercer County No 62.2 (55.0, 70.1) 56 stable stable trend -0.2 (-1.2, 0.8)
Marion County No 64.5 (56.5, 73.4) 48 stable stable trend -0.2 (-1.1, 0.7)
Fayette County No 68.8 (59.9, 78.7) 44 stable stable trend -0.4 (-1.5, 0.7)
Logan County No 93.0 (80.8, 106.7) 44 stable stable trend -1.0 (-2.2, 0.2)
Wayne County No 69.2 (59.6, 80.1) 38 stable stable trend -0.7 (-1.7, 0.3)
Monongalia County No 46.0 (39.6, 53.2) 38 stable stable trend -1.5 (-2.9, 0.0)
Putnam County No 52.7 (45.0, 61.4) 35 falling falling trend -3.3 (-4.9, -1.8)
Ohio County No 49.5 (42.1, 58.0) 33 stable stable trend -0.9 (-2.0, 0.2)
Jefferson County No 54.6 (46.0, 64.3) 30 falling falling trend -1.6 (-3.0, -0.2)
Hancock County No 63.0 (53.1, 74.6) 29 stable stable trend -0.4 (-1.7, 0.9)
Boone County No 92.0 (77.1, 109.2) 28 stable stable trend -0.1 (-1.6, 1.4)
Greenbrier County No 52.8 (44.4, 62.7) 28 falling falling trend -2.0 (-3.2, -0.8)
Jackson County No 67.1 (56.2, 79.7) 27 stable stable trend 0.1 (-1.4, 1.6)
Mason County No 72.5 (60.7, 86.2) 27 stable stable trend -0.5 (-1.6, 0.7)
McDowell County No 86.9 (72.5, 103.7) 26 stable stable trend 0.6 (-0.6, 1.8)
Mingo County No 83.8 (69.8, 99.9) 26 stable stable trend -0.7 (-2.1, 0.9)
Nicholas County No 72.1 (60.1, 86.0) 26 stable stable trend -0.5 (-1.6, 0.6)
Marshall County No 52.8 (43.7, 63.4) 25 falling falling trend -1.4 (-2.7, -0.1)
Wyoming County No 81.0 (66.9, 97.4) 24 stable stable trend -0.0 (-1.5, 1.4)
Lincoln County No 82.2 (67.7, 99.1) 23 stable stable trend -0.3 (-2.2, 1.6)
Brooke County No 59.3 (48.7, 71.9) 22 stable stable trend -0.1 (-1.6, 1.4)
Mineral County No 56.7 (46.4, 68.7) 22 stable stable trend 0.5 (-1.1, 2.0)
Hampshire County No 70.0 (57.1, 85.1) 22 stable stable trend -0.1 (-1.7, 1.5)
Preston County No 46.5 (37.6, 57.0) 19 stable stable trend -1.2 (-2.5, 0.2)
Randolph County Yes 44.8 (35.9, 55.5) 18 falling falling trend -2.6 (-4.1, -1.0)
Upshur County No 54.6 (43.6, 67.9) 17 stable stable trend -0.3 (-1.9, 1.3)
Taylor County No 72.8 (57.5, 91.2) 16 stable stable trend -1.5 (-3.6, 0.5)
Wetzel County No 66.0 (52.3, 82.8) 16 stable stable trend -0.5 (-2.3, 1.4)
Lewis County No 65.4 (51.3, 82.7) 15 stable stable trend -1.0 (-2.6, 0.7)
Morgan County No 59.3 (46.6, 75.0) 15 stable stable trend 0.7 (-1.3, 2.8)
Braxton County No 61.8 (47.6, 79.6) 13 stable stable trend -0.9 (-2.6, 0.8)
Roane County No 64.0 (49.4, 82.1) 13 stable stable trend -1.5 (-3.2, 0.3)
Barbour County No 51.4 (38.8, 67.2) 11 falling falling trend -2.1 (-3.7, -0.5)
Monroe County No 58.9 (44.5, 77.3) 12 stable stable trend -0.1 (-1.5, 1.3)
Ritchie County No 79.3 (59.6, 104.1) 11 stable stable trend 1.4 (-1.3, 4.0)
Webster County No 83.6 (62.2, 110.8) 11 stable stable trend -0.1 (-1.8, 1.6)
Calhoun County No 81.8 (59.9, 110.5) 9 stable stable trend -0.2 (-2.3, 1.9)
Clay County No 74.4 (54.4, 100.1) 9 stable stable trend -0.7 (-2.8, 1.5)
Summers County Yes 44.0 (32.1, 59.6) 9 falling falling trend -2.4 (-4.4, -0.3)
Hardy County Yes 42.9 (30.5, 59.3) 8 stable stable trend -0.7 (-3.7, 2.3)
Tyler County No 61.7 (44.4, 84.6) 9 stable stable trend -0.6 (-2.7, 1.6)
Pleasants County No 69.9 (48.6, 98.3) 7 stable stable trend -1.0 (-3.8, 1.8)
Doddridge County No 62.9 (43.1, 89.6) 7 stable stable trend -1.6 (-5.0, 1.9)
Gilmer County No 60.4 (40.6, 87.3) 6 stable stable trend -0.3 (-3.9, 3.4)
Grant County Yes 37.2 (25.3, 53.6) 6 stable stable trend -0.1 (-2.8, 2.7)
Pocahontas County No 51.6 (35.6, 73.6) 7 stable stable trend -0.2 (-2.9, 2.5)
Pendleton County Yes 40.3 (25.8, 61.7) 5 stable stable trend 0.5 (-2.1, 3.1)
Tucker County No 50.4 (33.6, 74.6) 6 stable stable trend 0.6 (-1.5, 2.8)
Wirt County No 65.6 (42.0, 99.2) 5 falling falling trend -2.4 (-4.7, -0.1)
Notes:
Created by statecancerprofiles.cancer.gov on 06/28/2016 10:01 pm.
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).

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.
1 Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.
2 The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint Regression Program (Version 4.2). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

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 1969-2013 US Population Data File is used with mortality data.