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Death Rates Table

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Death Rate Report for West Virginia by County

Lung & Bronchus, 2011-2015

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 45.5?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 58.8 (57.4, 60.2) 1,482 falling falling trend -1.5 (-1.8, -1.2)
United States Yes 43.4 (43.3, 43.5) 155,959 falling falling trend -3.1 (-3.6, -2.6)
Logan County No 84.3 (72.7, 97.3) 40 falling falling trend -1.4 (-2.4, -0.4)
Pleasants County No 82.4 (59.0, 113.0) 8 stable stable trend -1.0 (-3.2, 1.3)
McDowell County No 82.0 (67.6, 98.7) 24 stable stable trend 0.1 (-1.0, 1.1)
Boone County No 81.7 (67.7, 97.9) 25 stable stable trend -0.3 (-1.5, 0.9)
Wyoming County No 76.1 (62.4, 92.0) 23 stable stable trend -0.1 (-1.3, 1.1)
Fayette County No 75.2 (65.9, 85.6) 49 stable stable trend -0.2 (-1.1, 0.7)
Lincoln County No 74.4 (60.9, 90.3) 22 stable stable trend -0.5 (-1.9, 1.0)
Webster County No 73.4 (54.0, 98.6) 10 stable stable trend -0.4 (-1.8, 1.1)
Mingo County No 73.0 (60.0, 88.1) 24 stable stable trend -0.9 (-2.1, 0.3)
Clay County No 71.7 (52.1, 97.1) 9 stable stable trend -1.1 (-2.8, 0.6)
Lewis County No 69.7 (55.5, 87.0) 17 stable stable trend -0.5 (-1.9, 1.0)
Ritchie County No 66.9 (49.3, 89.7) 10 stable stable trend 0.3 (-2.0, 2.6)
Mason County No 65.9 (54.8, 78.8) 26 stable stable trend -1.0 (-2.0, 0.0)
Tyler County No 64.1 (46.6, 87.2) 9 stable stable trend -0.6 (-2.2, 1.0)
Taylor County No 63.8 (50.1, 80.6) 15 stable stable trend -1.4 (-3.1, 0.3)
Hancock County No 63.8 (53.8, 75.3) 30 stable stable trend -0.5 (-1.5, 0.6)
Doddridge County No 63.7 (43.8, 90.4) 7 stable stable trend -1.7 (-4.4, 1.0)
Wirt County No 63.2 (40.7, 95.3) 5 falling falling trend -1.9 (-3.6, -0.1)
Berkeley County No 62.9 (56.3, 70.0) 71 stable stable trend -0.9 (-1.8, 0.0)
Cabell County No 61.1 (55.0, 67.6) 76 stable stable trend -0.5 (-1.1, 0.0)
Mercer County No 60.9 (53.8, 68.8) 55 stable stable trend -0.3 (-1.2, 0.5)
Hampshire County No 60.5 (48.9, 74.3) 20 stable stable trend -0.1 (-1.4, 1.3)
Marion County No 60.2 (52.6, 68.6) 47 stable stable trend -0.4 (-1.1, 0.3)
Roane County No 60.1 (46.5, 77.1) 14 stable stable trend -1.4 (-2.7, 0.0)
Jackson County No 59.0 (49.0, 70.8) 25 stable stable trend -0.2 (-1.4, 1.0)
Brooke County No 58.6 (48.1, 71.2) 22 stable stable trend -0.4 (-1.6, 0.8)
Wood County No 58.5 (52.5, 65.1) 71 falling falling trend -1.2 (-1.9, -0.4)
Mineral County No 58.4 (48.2, 70.5) 24 stable stable trend 0.5 (-0.8, 1.8)
Kanawha County No 57.5 (53.4, 61.8) 154 falling falling trend -1.4 (-1.9, -0.9)
Wetzel County No 57.3 (44.9, 72.9) 15 stable stable trend -0.7 (-2.2, 0.9)
Harrison County No 57.3 (50.6, 64.7) 54 falling falling trend -1.1 (-1.9, -0.3)
Raleigh County No 57.0 (50.8, 63.9) 63 falling falling trend -0.9 (-1.5, -0.2)
Wayne County No 56.9 (48.5, 66.6) 33 falling falling trend -5.3 (-8.7, -1.7)
Marshall County No 56.7 (47.5, 67.3) 28 falling falling trend -1.2 (-2.3, -0.1)
Nicholas County No 56.6 (46.1, 69.0) 21 stable stable trend -1.0 (-1.9, 0.0)
Monroe County No 56.2 (42.4, 73.9) 12 stable stable trend -0.3 (-1.6, 1.0)
Randolph County No 55.8 (45.8, 67.5) 23 stable stable trend -1.4 (-2.8, 0.0)
Gilmer County No 55.4 (37.0, 80.6) 6 stable stable trend -0.6 (-3.3, 2.3)
Calhoun County No 54.4 (37.0, 78.8) 6 stable stable trend -31.6 (-61.4, 21.5)
Morgan County No 53.7 (41.9, 68.5) 14 stable stable trend 0.1 (-1.6, 1.7)
Greenbrier County No 53.6 (45.3, 63.4) 30 stable stable trend 6.3 (-3.5, 17.0)
Ohio County No 52.4 (44.6, 61.3) 34 falling falling trend -1.1 (-2.0, -0.2)
Putnam County No 52.1 (44.8, 60.3) 38 falling falling trend -2.5 (-3.6, -1.4)
Pocahontas County No 51.7 (36.2, 73.3) 7 stable stable trend -0.5 (-2.7, 1.8)
Upshur County No 51.6 (41.2, 64.2) 17 stable stable trend -0.9 (-2.2, 0.5)
Grant County No 50.9 (37.0, 69.2) 9 stable stable trend 0.0 (-2.0, 2.1)
Jefferson County No 47.8 (40.0, 56.7) 29 falling falling trend -1.9 (-3.0, -0.7)
Braxton County No 47.4 (35.3, 63.0) 11 stable stable trend -1.5 (-3.0, 0.0)
Preston County No 46.8 (38.2, 57.0) 21 falling falling trend -1.3 (-2.3, -0.2)
Barbour County Yes 45.0 (33.5, 59.6) 10 falling falling trend -2.2 (-3.5, -0.8)
Hardy County Yes 44.9 (32.7, 60.9) 9 stable stable trend -0.1 (-2.5, 2.3)
Monongalia County Yes 43.6 (37.5, 50.4) 39 falling falling trend -1.7 (-2.8, -0.5)
Tucker County Yes 40.2 (25.4, 62.7) 5 stable stable trend -0.3 (-2.2, 1.6)
Pendleton County Yes 39.3 (25.8, 59.8) 5 stable stable trend -0.0 (-2.1, 2.1)
Summers County Yes 32.9 (22.7, 46.9) 7 falling falling trend -2.7 (-4.4, -0.9)
Notes:
Created by statecancerprofiles.cancer.gov on 05/25/2019 5:57 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 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 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 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.

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



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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