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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

All Cancer Sites

All Races, Male

Sorted by name
Counties
 sort alphabetically by name descending
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 - 315,770 177.5 (177.2, 177.8) - -2.2 (-2.5, -2.0)
West Virginia - falling falling trend - 2,529 211.3 (207.5, 215.1) - -1.5 (-1.6, -1.3)
Barbour County 8 falling falling trend similar 23 208.7 (171.0, 252.9) 1.2 -1.3 (-2.3, -0.3)
Berkeley County 5 falling falling trend higher 137 218.7 (201.9, 236.7) 1.2 -1.5 (-2.0, -1.0)
Boone County 5 falling falling trend higher 37 232.6 (198.6, 271.4) 1.3 -1.2 (-1.9, -0.5)
Braxton County 8 falling falling trend similar 20 182.2 (147.7, 223.8) 1.0 -1.6 (-2.6, -0.7)
Brooke County 8 falling falling trend similar 32 192.9 (163.2, 227.1) 1.1 -1.4 (-2.1, -0.6)
Cabell County 5 falling falling trend higher 129 232.2 (214.3, 251.4) 1.3 -1.1 (-1.5, -0.8)
Calhoun County 8 falling falling trend similar 11 184.9 (138.2, 246.0) 1.0 -1.9 (-2.9, -0.9)
Clay County 8 falling falling trend similar 14 219.5 (169.3, 281.8) 1.2 -2.4 (-3.5, -1.2)
Doddridge County 9 falling falling trend lower 8 112.6 (79.7, 157.1) 0.6 -3.1 (-4.6, -1.6)
Fayette County 5 falling falling trend higher 67 223.3 (199.1, 249.9) 1.3 -1.0 (-1.4, -0.5)
Gilmer County 6 stable stable trend similar 10 203.6 (151.8, 268.7) 1.1 -0.8 (-1.9, 0.4)
Grant County 9 falling falling trend lower 13 133.3 (102.4, 172.6) 0.8 -2.2 (-3.5, -0.8)
Greenbrier County 8 falling falling trend similar 49 189.6 (166.0, 216.2) 1.1 -1.5 (-2.1, -0.9)
Hampshire County 8 falling falling trend similar 35 196.1 (166.6, 230.0) 1.1 -1.2 (-2.0, -0.3)
Hancock County 5 falling falling trend higher 47 220.8 (192.7, 252.4) 1.2 -0.9 (-1.6, -0.3)
Hardy County 8 falling falling trend similar 19 188.9 (151.1, 234.2) 1.1 -1.8 (-2.7, -0.9)
Harrison County 5 falling falling trend higher 96 221.9 (201.9, 243.4) 1.3 -1.1 (-1.5, -0.7)
Jackson County 5 falling falling trend higher 44 215.5 (187.4, 247.1) 1.2 -1.2 (-1.9, -0.6)
Jefferson County 5 falling falling trend higher 69 215.7 (192.3, 241.2) 1.2 -1.4 (-2.1, -0.6)
Kanawha County 5 falling falling trend higher 248 206.9 (195.2, 219.2) 1.2 -2.6 (-3.3, -1.8)
Lewis County 5 falling falling trend higher 31 275.2 (232.9, 323.8) 1.6 -0.7 (-1.4, 0.0)
Lincoln County 4 stable stable trend higher 36 265.3 (226.7, 309.1) 1.5 -0.4 (-1.1, 0.3)
Logan County 5 falling falling trend higher 59 269.9 (238.5, 304.6) 1.5 -1.4 (-2.0, -0.7)
Marion County 5 falling falling trend higher 78 214.6 (193.3, 237.7) 1.2 -1.0 (-1.4, -0.5)
Marshall County 6 stable stable trend similar 43 192.2 (166.3, 221.3) 1.1 -0.9 (-2.3, 0.6)
Mason County 5 falling falling trend higher 40 217.0 (187.2, 250.6) 1.2 -1.6 (-2.2, -1.1)
McDowell County 5 falling falling trend higher 36 271.0 (231.4, 316.4) 1.5 -1.0 (-1.7, -0.4)
Mercer County 5 falling falling trend higher 95 237.8 (216.1, 261.2) 1.3 -0.9 (-1.2, -0.6)
Mineral County 5 falling falling trend higher 40 210.6 (181.8, 243.3) 1.2 -1.1 (-1.9, -0.4)
Mingo County 4 stable stable trend higher 39 253.7 (217.5, 294.5) 1.4 -0.4 (-1.0, 0.2)
Monongalia County 8 falling falling trend similar 75 162.2 (145.5, 180.1) 0.9 -1.8 (-2.8, -0.8)
Monroe County 8 falling falling trend similar 19 173.1 (138.9, 214.7) 1.0 -1.4 (-2.3, -0.4)
Morgan County 5 falling falling trend higher 32 231.1 (195.3, 272.6) 1.3 -1.1 (-2.0, -0.3)
Nicholas County 5 falling falling trend higher 37 210.1 (179.7, 244.8) 1.2 -1.3 (-2.0, -0.5)
Ohio County 5 falling falling trend higher 59 211.6 (187.3, 238.4) 1.2 -1.5 (-1.9, -1.0)
Pendleton County 8 falling falling trend similar 11 160.4 (119.4, 215.3) 0.9 -1.6 (-2.9, -0.3)
Pleasants County 4 stable stable trend higher 13 257.5 (194.9, 334.8) 1.5 -0.7 (-2.2, 0.9)
Pocahontas County 6 stable stable trend similar 15 211.5 (163.4, 271.8) 1.2 -1.1 (-2.3, 0.1)
Preston County 8 falling falling trend similar 44 196.9 (170.8, 226.1) 1.1 -1.1 (-1.7, -0.6)
Putnam County 8 falling falling trend similar 68 197.5 (176.4, 220.6) 1.1 -1.5 (-2.0, -1.0)
Raleigh County 5 falling falling trend higher 104 213.5 (195.0, 233.4) 1.2 -1.2 (-1.6, -0.7)
Randolph County 8 falling falling trend similar 36 173.4 (148.3, 201.9) 1.0 -1.5 (-2.2, -0.8)
Ritchie County 6 stable stable trend similar 16 220.1 (173.0, 277.8) 1.2 0.0 (-0.9, 0.9)
Roane County 4 stable stable trend higher 28 283.1 (236.0, 337.8) 1.6 -0.3 (-1.2, 0.7)
Summers County 5 falling falling trend higher 23 227.7 (186.2, 277.9) 1.3 -1.2 (-2.0, -0.4)
Taylor County 4 stable stable trend higher 26 216.9 (180.2, 259.6) 1.2 3.6 (-1.7, 9.2)
Tucker County 8 falling falling trend similar 11 187.2 (139.4, 250.0) 1.1 -1.5 (-2.5, -0.4)
Tyler County 8 falling falling trend similar 12 185.0 (139.5, 242.6) 1.0 -2.0 (-2.9, -1.1)
Upshur County 8 falling falling trend similar 31 176.8 (149.3, 208.4) 1.0 -1.5 (-2.4, -0.6)
Wayne County 5 falling falling trend higher 59 208.8 (185.1, 235.0) 1.2 -1.6 (-2.2, -1.0)
Webster County 6 stable stable trend similar 15 209.3 (163.0, 267.7) 1.2 -9.7 (-19.0, 0.6)
Wetzel County 8 falling falling trend similar 22 191.8 (156.6, 233.7) 1.1 -1.1 (-2.1, -0.1)
Wirt County 6 stable stable trend similar 8 198.5 (139.5, 276.9) 1.1 -1.7 (-3.5, 0.1)
Wood County 5 falling falling trend higher 126 225.4 (207.6, 244.4) 1.3 -1.1 (-1.5, -0.8)
Wyoming County 5 falling falling trend higher 31 221.8 (186.4, 262.5) 1.2 -0.8 (-1.6, 0.0)
Notes:
Created by statecancerprofiles.cancer.gov on 05/02/2024 2:37 pm.

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

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).


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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