Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Ohio by County

Breast, 2015-2019

All Races (includes Hispanic), Female, 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


United States

Guernsey County

Fulton County

Crawford County

Defiance County

Jackson County

Brown County

Seneca County

Gallia County

Mercer County

Mahoning County

Coshocton County

Union County

Perry County

Jefferson County

Knox County

Medina County

Huron County

Adams County

Wood County

Shelby County

Muskingum County

Van Wert County

Greene County

Delaware County

Williams County

Lucas County

Ashland County

Darke County

Athens County

Richland County

Butler County

Geauga County

Portage County

Belmont County

Hancock County

Clermont County

Columbiana County

Lake County

Champaign County

Pickaway County

Miami County

Trumbull County

Allen County

Marion County

Wyandot County

Warren County

Licking County

Logan County

Montgomery County

Lorain County

Hocking County

Erie County

Tuscarawas County

Ross County

Ottawa County

Franklin County

Ashtabula County

Fairfield County

Summit County

Hamilton County

Wayne County

Holmes County

Stark County

Scioto County

Henry County

Cuyahoga County

Hardin County

Auglaize County

Washington County

Fayette County

Morrow County

Clinton County

Meigs County

Sandusky County

Putnam County

Clark County

Highland County

Preble County

Pike County

Lawrence County

Madison County

Carroll County Harrison County Monroe County Morgan County Noble County Paulding County Vinton County

Created by on 09/29/2022 8:41 pm.

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

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Carroll, Harrison, Monroe, Morgan, Noble, Paulding, Vinton

† 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.

* 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).

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.