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Interpretation of Death Rates Data

Death Rate Report for West Virginia by County

All Cancer Sites, 2014-2018

White Non-Hispanic, Both Sexes, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 0.0 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


West Virginia


United States (6)


Logan County


Lewis County


Boone County


McDowell County


Mingo County


Roane County


Fayette County


Lincoln County


Clay County


Wyoming County


Pleasants County


Webster County


Monroe County


Marion County


Morgan County


Tyler County


Raleigh County


Berkeley County


Wood County


Wirt County


Wetzel County


Gilmer County


Jefferson County


Mineral County


Mercer County


Hampshire County


Cabell County


Barbour County


Upshur County


Kanawha County


Ohio County


Harrison County


Mason County


Summers County


Nicholas County


Preston County


Jackson County


Putnam County


Marshall County


Braxton County


Greenbrier County


Wayne County


Hancock County


Taylor County


Randolph County


Pocahontas County


Hardy County


Ritchie County


Tucker County


Brooke County


Calhoun County


Grant County


Monongalia County


Doddridge County


Pendleton County




Notes:
Created by statecancerprofiles.cancer.gov on 06/22/2021 10:03 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 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 1969-2017 US Population Data File is used with 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.
⋔ 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

6 Hispanic mortality recent trend data for the United States has been excluded for the following states: Louisiana, New Hampshire, and Oklahoma. The data on Hispanic and non-Hispanic mortality for these states may be unreliable for the time period used in the generation of the recent trend (1990 - 2018) and has been excluded from the calculation of the United States recent trend. This was based on the NCHS Policy.


Please note that the data comes 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 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.

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.