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Interpretation of Death Rates Data

Death Rate Report for Ohio by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 122.7 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


United States

Noble County

Delaware County

Geauga County

Warren County

Putnam County

Medina County

Greene County

Wayne County

Monroe County

Mercer County

Portage County

Franklin County

Holmes County

Fairfield County

Mahoning County

Miami County

Wyandot County

Lake County

Auglaize County

Licking County

Trumbull County

Lorain County

Erie County

Wood County

Ashland County

Summit County

Defiance County

Hamilton County

Van Wert County

Knox County

Butler County

Huron County

Ottawa County

Hancock County

Union County

Madison County

Clermont County

Belmont County

Henry County

Washington County

Morgan County

Athens County

Cuyahoga County

Stark County

Carroll County

Tuscarawas County

Montgomery County

Seneca County

Richland County

Sandusky County

Guernsey County

Hardin County

Champaign County

Coshocton County

Clark County

Darke County

Logan County

Shelby County

Marion County

Lucas County

Hocking County

Ashtabula County

Highland County

Morrow County

Allen County

Harrison County

Clinton County

Perry County

Preble County

Williams County

Brown County

Crawford County

Muskingum County

Columbiana County

Pike County

Meigs County

Paulding County

Jefferson County

Ross County

Fulton County

Scioto County

Jackson County

Pickaway County

Fayette County

Vinton County

Gallia County

Lawrence County

Adams County

Created by on 09/22/2023 2:49 pm.

State Cancer Registries may provide more current or more local data.
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 2030 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.
‡ 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.

Healthy People 2030 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 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.