Death Rates Table
County
|
Met Healthy People Objective of ***? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) 
|
CI*Rank⋔ (95% Confidence Interval)
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval) 
|
|---|---|---|---|---|---|---|
| West Virginia | *** | 601.6 (593.7, 609.7) | N/A | 4,479 |
falling 
|
-1.1 (-1.2, -1.0) |
| United States | *** | 512.0 (511.4, 512.6) | N/A | 568,048 |
falling
|
-2.1 (-2.4, -1.8) |
| Webster County | *** | 659.8 (549.9, 785.4) | 11 (1, 52) | 26 |
stable 
|
0.1 (-0.7, 0.8) |
| Gilmer County | *** | 665.0 (537.6, 813.4) | 9 (1, 54) | 19 |
stable
|
-0.2 (-1.2, 0.9) |
| Roane County | *** | 699.1 (608.6, 799.4) | 6 (1, 44) | 44 |
stable
|
-0.2 (-0.9, 0.5) |
| Monroe County | *** | 614.8 (531.1, 707.9) | 20 (3, 52) | 40 |
stable
|
-0.3 (-1.0, 0.3) |
| Morgan County | *** | 659.9 (582.6, 744.5) | 10 (2, 45) | 54 |
stable
|
-0.3 (-0.9, 0.4) |
| Lewis County | *** | 750.3 (660.9, 848.5) | 3 (1, 26) | 52 |
stable
|
-0.4 (-0.9, 0.2) |
| McDowell County | *** | 772.7 (688.8, 864.0) | 2 (1, 14) | 65 |
stable
|
-0.4 (-0.9, 0.2) |
| Pleasants County | *** | 642.4 (520.2, 784.8) | 13 (1, 54) | 20 |
stable
|
-0.4 (-1.4, 0.7) |
| Fayette County | *** | 682.5 (629.8, 738.5) | 8 (2, 29) | 129 |
falling
|
-0.5 (-0.9, -0.1) |
| Hampshire County | *** | 602.7 (536.3, 675.1) | 24 (5, 52) | 62 |
stable
|
-0.5 (-1.2, 0.2) |
| Wetzel County | *** | 578.9 (503.5, 662.7) | 31 (6, 54) | 43 |
stable
|
-0.5 (-1.3, 0.2) |
| Raleigh County | *** | 630.0 (590.4, 671.7) | 16 (7, 40) | 196 |
falling
|
-0.6 (-1.0, -0.3) |
| Ritchie County | *** | 528.5 (438.4, 631.9) | 49 (8, 55) | 25 |
stable
|
-0.6 (-1.3, 0.2) |
| Marion County | *** | 621.4 (575.8, 669.7) | 18 (6, 44) | 142 |
falling
|
-0.7 (-1.2, -0.3) |
| Mercer County | *** | 606.4 (564.4, 650.7) | 23 (8, 47) | 161 |
falling
|
-0.7 (-1.0, -0.3) |
| Mineral County | *** | 612.6 (549.4, 681.1) | 21 (5, 50) | 70 |
falling
|
-0.7 (-1.2, -0.1) |
| Mingo County | *** | 705.9 (629.3, 789.2) | 4 (1, 32) | 66 |
falling
|
-0.7 (-1.2, -0.3) |
| Wirt County | *** | 572.0 (442.7, 727.1) | 42 (2, 55) | 14 |
stable
|
-0.7 (-2.1, 0.7) |
| Wood County | *** | 609.7 (573.7, 647.3) | 22 (9, 43) | 218 |
falling
|
-0.7 (-1.0, -0.3) |
| Wyoming County | *** | 631.4 (557.9, 711.8) | 15 (3, 49) | 57 |
falling
|
-0.7 (-1.3, -0.1) |
| Jackson County | *** | 601.2 (541.6, 665.6) | 25 (6, 50) | 75 |
falling
|
-0.8 (-1.3, -0.3) |
| Lincoln County | *** | 683.4 (605.1, 769.0) | 7 (1, 40) | 57 |
falling
|
-0.8 (-1.4, -0.1) |
| Logan County | *** | 801.2 (733.7, 873.2) | 1 (1, 7) | 110 |
falling
|
-0.8 (-1.3, -0.3) |
| Pocahontas County | *** | 542.3 (446.1, 653.2) | 47 (6, 55) | 23 |
stable
|
-0.8 (-1.8, 0.1) |
| Preston County | *** | 577.8 (521.5, 638.7) | 34 (9, 52) | 79 |
falling
|
-0.8 (-1.3, -0.3) |
| Randolph County | *** | 573.9 (515.6, 637.1) | 39 (9, 53) | 72 |
falling
|
-0.8 (-1.4, -0.2) |
| Barbour County | *** | 583.5 (504.0, 672.1) | 29 (5, 54) | 40 |
falling
|
-0.9 (-1.7, -0.2) |
| Braxton County | *** | 569.2 (488.9, 659.0) | 44 (6, 55) | 37 |
falling
|
-0.9 (-1.7, -0.2) |
| Harrison County | *** | 620.2 (579.2, 663.4) | 19 (7, 43) | 174 |
falling
|
-0.9 (-1.2, -0.5) |
| Jefferson County | *** | 624.6 (574.1, 678.4) | 17 (5, 44) | 120 |
falling
|
-0.9 (-1.4, -0.3) |
| Nicholas County | *** | 582.6 (519.7, 651.0) | 30 (7, 53) | 65 |
falling
|
-0.9 (-1.5, -0.4) |
| Brooke County | *** | 537.8 (476.9, 604.4) | 48 (15, 55) | 58 |
falling
|
-1.0 (-1.6, -0.5) |
| Cabell County | *** | 600.1 (564.6, 637.2) | 26 (10, 46) | 218 |
falling
|
-1.0 (-1.3, -0.8) |
| Marshall County | *** | 578.3 (522.6, 638.3) | 32 (9, 52) | 82 |
falling
|
-1.0 (-1.5, -0.5) |
| Pendleton County | *** | 467.0 (374.9, 575.2) | 54 (15, 55) | 18 |
stable
|
-1.0 (-2.1, 0.0) |
| Tucker County | *** | 570.8 (464.2, 694.5) | 43 (3, 55) | 20 |
falling
|
-1.0 (-1.9, -0.1) |
| Upshur County | *** | 574.1 (509.7, 644.5) | 38 (8, 53) | 59 |
falling
|
-1.0 (-1.6, -0.4) |
| Berkeley County | *** | 634.7 (597.1, 674.2) | 14 (6, 37) | 228 |
falling
|
-1.1 (-1.5, -0.6) |
| Hancock County | *** | 546.5 (492.0, 605.4) | 46 (15, 54) | 76 |
falling
|
-1.1 (-1.5, -0.6) |
| Putnam County | *** | 566.9 (521.8, 614.8) | 45 (13, 52) | 120 |
falling
|
-1.1 (-1.5, -0.6) |
| Greenbrier County | *** | 578.0 (526.9, 632.8) | 33 (10, 51) | 96 |
falling
|
-1.2 (-1.6, -0.7) |
| Hardy County | *** | 500.5 (421.9, 589.5) | 52 (16, 55) | 30 |
falling
|
-1.2 (-1.9, -0.5) |
| Summers County | *** | 574.6 (492.3, 666.6) | 37 (5, 54) | 36 |
falling
|
-1.2 (-1.9, -0.5) |
| Tyler County | *** | 575.7 (476.4, 689.8) | 36 (4, 55) | 24 |
falling
|
-1.2 (-2.0, -0.4) |
| Boone County | *** | 699.8 (623.2, 783.3) | 5 (1, 33) | 64 |
falling
|
-1.3 (-1.9, -0.6) |
| Calhoun County | *** | 512.5 (410.7, 631.8) | 50 (8, 55) | 18 |
falling
|
-1.3 (-2.3, -0.3) |
| Ohio County | *** | 591.8 (542.7, 644.2) | 27 (9, 50) | 113 |
falling
|
-1.3 (-1.6, -1.0) |
| Doddridge County | *** | 507.1 (407.6, 623.6) | 51 (9, 55) | 18 |
falling
|
-1.4 (-2.5, -0.3) |
| Taylor County | *** | 573.5 (496.7, 658.8) | 40 (6, 54) | 41 |
falling
|
-1.4 (-2.1, -0.7) |
| Grant County | *** | 449.5 (373.7, 536.4) | 55 (34, 55) | 25 |
falling
|
-1.5 (-2.5, -0.5) |
| Mason County | *** | 584.7 (523.4, 651.2) | 28 (7, 52) | 68 |
falling
|
-1.5 (-2.0, -1.0) |
| Monongalia County | *** | 495.3 (458.1, 534.6) | 53 (41, 55) | 138 |
falling
|
-1.5 (-2.0, -1.1) |
| Clay County | *** | 651.3 (538.2, 781.0) | 12 (1, 53) | 24 |
falling
|
-1.7 (-2.4, -0.9) |
| Wayne County | *** | 572.7 (522.9, 625.9) | 41 (12, 52) | 99 |
falling
|
-1.7 (-2.1, -1.3) |
| Kanawha County | *** | 577.0 (553.0, 601.7) | 35 (20, 47) | 450 |
falling
|
-2.8 (-3.9, -1.6) |
Notes:
Created by statecancerprofiles.cancer.gov on 05/26/2022 9:56 am.
State Cancer Registries may provide more current or more local data.
† 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 1969-2018 US Population Data File is used with mortality data.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
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.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.
Created by statecancerprofiles.cancer.gov on 05/26/2022 9:56 am.
State Cancer Registries may provide more current or more local data.
† 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 1969-2018 US Population Data File is used with mortality data.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
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.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.