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Incidence Rates Table

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Incidence Rate Report for West Virginia by County

All Cancer Sites (All Stages^), 2013-2017

All Races (includes Hispanic), Both Sexes, Ages <50

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 6,8 *** 120.1 (117.2, 123.1) 1,302 stable stable trend 0.3 (-0.3, 0.8)
US (SEER+NPCR) 1,8 *** 105.4 (105.2, 105.6) 208,732 stable stable trend 0.0 (-0.3, 0.2)
Kanawha County 6,8 *** 132.5 (123.0, 142.6) 144 rising rising trend 1.1 (0.2, 2.1)
Berkeley County 6,8 *** 112.7 (102.0, 124.1) 82 stable stable trend -0.5 (-2.1, 1.1)
Cabell County 6,8 *** 131.8 (118.4, 146.2) 73 stable stable trend -6.1 (-15.3, 4.1)
Wood County 6,8 *** 127.8 (114.2, 142.6) 65 stable stable trend 1.2 (-0.5, 2.9)
Monongalia County 6,8 *** 109.9 (97.8, 123.0) 64 stable stable trend 1.6 (-0.6, 3.9)
Raleigh County 6,8 *** 118.4 (104.7, 133.4) 54 stable stable trend 0.9 (-0.5, 2.4)
Harrison County 6,8 *** 110.2 (96.2, 125.7) 45 stable stable trend -0.3 (-2.0, 1.5)
Marion County 6,8 *** 122.2 (105.9, 140.4) 40 stable stable trend 0.8 (-0.9, 2.6)
Mercer County 6,8 *** 118.4 (102.6, 136.0) 40 stable stable trend 0.8 (-1.2, 2.8)
Putnam County 6,8 *** 113.4 (98.2, 130.3) 40 stable stable trend 1.0 (-1.1, 3.1)
Jefferson County 6,8 *** 108.2 (93.5, 124.7) 39 stable stable trend -1.7 (-3.5, 0.1)
Wayne County 6,8 *** 138.9 (118.8, 161.5) 34 stable stable trend 1.0 (-0.8, 2.9)
Fayette County 6,8 *** 124.4 (105.9, 145.1) 32 stable stable trend 0.5 (-1.5, 2.6)
Logan County 6,8 *** 146.9 (124.5, 172.2) 31 stable stable trend 1.0 (-1.5, 3.5)
Ohio County 6,8 *** 116.2 (97.5, 137.5) 27 stable stable trend 0.0 (-2.5, 2.5)
Greenbrier County 6,8 *** 134.6 (112.4, 159.8) 26 stable stable trend 0.9 (-1.8, 3.7)
Hancock County 6,8 *** 140.5 (116.4, 168.1) 24 stable stable trend -5.9 (-22.4, 14.1)
Mingo County 6,8 *** 158.2 (131.2, 189.2) 24 stable stable trend 2.1 (-1.0, 5.3)
Boone County 6,8 *** 149.4 (122.3, 180.9) 21 stable stable trend 2.4 (-0.8, 5.6)
Randolph County 6,8 *** 120.1 (97.9, 145.9) 21 stable stable trend 1.7 (-0.5, 4.0)
Preston County 6,8 *** 93.6 (75.9, 114.3) 20 stable stable trend -0.7 (-3.1, 1.8)
Nicholas County 6,8 *** 128.4 (103.7, 157.3) 19 stable stable trend 0.9 (-1.9, 3.7)
Hampshire County 6,8 *** 133.2 (107.0, 164.0) 18 rising rising trend 2.8 (1.1, 4.5)
Lincoln County 6,8 *** 141.0 (113.3, 173.5) 18 stable stable trend 1.8 (-1.0, 4.7)
Marshall County 6,8 *** 99.9 (80.2, 122.9) 18 stable stable trend 1.6 (-0.8, 4.0)
Mineral County 6,8 *** 112.5 (90.1, 138.7) 18 stable stable trend 16.4 (-0.8, 36.6)
Jackson County 6,8 *** 100.5 (80.2, 124.4) 17 stable stable trend -0.8 (-4.0, 2.5)
Mason County 6,8 *** 111.3 (88.9, 137.7) 17 stable stable trend 2.2 (-1.0, 5.5)
Brooke County 6,8 *** 132.7 (105.7, 164.7) 17 stable stable trend 3.0 (-0.3, 6.4)
Upshur County 6,8 *** 102.1 (79.7, 128.7) 14 stable stable trend -2.7 (-5.7, 0.5)
Wyoming County 6,8 *** 100.2 (77.3, 127.8) 13 stable stable trend -1.3 (-3.8, 1.4)
Wetzel County 6,8 *** 143.4 (110.1, 183.7) 13 stable stable trend 1.8 (-0.8, 4.4)
McDowell County 6,8 *** 108.4 (82.6, 139.6) 12 stable stable trend -0.6 (-3.8, 2.8)
Roane County 6,8 *** 143.4 (109.0, 185.2) 12 stable stable trend 1.8 (-1.3, 4.9)
Braxton County 6,8 *** 142.7 (108.2, 184.8) 12 rising rising trend 5.3 (1.1, 9.7)
Taylor County 6,8 *** 105.3 (79.5, 137.1) 11 stable stable trend 1.1 (-2.1, 4.5)
Barbour County 6,8 *** 111.4 (83.2, 145.8) 11 stable stable trend 1.4 (-2.4, 5.3)
Lewis County 6,8 *** 107.2 (80.2, 140.5) 11 stable stable trend -2.0 (-6.1, 2.3)
Monroe County 6,8 *** 127.5 (93.4, 170.0) 9 stable stable trend 2.3 (-2.2, 6.9)
Morgan County 6,8 *** 89.1 (64.8, 119.6) 9 stable stable trend 0.0 (-3.1, 3.2)
Hardy County 6,8 *** 108.1 (78.6, 145.2) 9 stable stable trend 0.9 (-2.5, 4.4)
Clay County 6,8 *** 158.6 (113.6, 215.6) 8 stable stable trend 1.3 (-2.5, 5.1)
Webster County 6,8 *** 147.0 (102.7, 204.3) 7 stable stable trend 4.1 (-1.0, 9.5)
Ritchie County 6,8 *** 124.8 (86.2, 174.8) 7 stable stable trend 2.6 (-1.3, 6.6)
Summers County 6,8 *** 90.3 (62.4, 126.6) 7 rising rising trend 4.8 (0.6, 9.2)
Grant County 6,8 *** 92.0 (61.8, 131.9) 6 stable stable trend 0.5 (-4.5, 5.8)
Tucker County 6,8 *** 155.8 (104.5, 224.0) 6 stable stable trend -0.8 (-4.3, 2.8)
Gilmer County 6,8 *** 106.7 (70.6, 155.4) 6 stable stable trend 1.8 (-4.0, 7.9)
Pleasants County 6,8 *** 101.2 (65.3, 150.4) 5 stable stable trend 0.2 (-4.3, 5.0)
Tyler County 6,8 *** 96.4 (61.8, 143.5) 5 stable stable trend -0.2 (-3.5, 3.3)
Wirt County 6 *** 151.7 (97.9, 224.7) 5
*
*
Pocahontas County 6,8 *** 101.4 (64.0, 152.8) 5 stable stable trend -0.4 (-5.1, 4.6)
Calhoun County 6,8 *** 96.4 (59.4, 148.4) 4 stable stable trend 1.6 (-3.0, 6.4)
Doddridge County 6 *** 65.6 (38.7, 105.0) 4
*
*
Pendleton County 6,8 *** 89.8 (51.0, 146.6) 3 stable stable trend 0.4 (-4.8, 5.8)
Notes:
Created by statecancerprofiles.cancer.gov on 10/30/2020 10:22 am.

*** 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 1969-2017 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.

Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database (2001-2017) - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2019 submission.
6 Source: National Program of Cancer Registries SEER*Stat Database (2001-2017) - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2019 submission).
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The 1969-2017 US Population Data File is used with SEER November 2019 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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