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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), Both Sexes, Ages 50+

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


Ohio


United States


Adams County


Lawrence County


Fayette County


Vinton County


Jackson County


Brown County


Pike County


Gallia County


Pickaway County


Scioto County


Logan County


Paulding County


Clinton County


Crawford County


Jefferson County


Meigs County


Ross County


Preble County


Guernsey County


Williams County


Hocking County


Highland County


Perry County


Ashtabula County


Hardin County


Lucas County


Marion County


Columbiana County


Richland County


Fulton County


Clark County


Madison County


Ottawa County


Morgan County


Champaign County


Sandusky County


Muskingum County


Darke County


Seneca County


Tuscarawas County


Coshocton County


Morrow County


Allen County


Montgomery County


Licking County


Washington County


Athens County


Cuyahoga County


Knox County


Stark County


Defiance County


Huron County


Wood County


Clermont County


Portage County


Hamilton County


Carroll County


Van Wert County


Ashland County


Miami County


Belmont County


Butler County


Shelby County


Summit County


Lorain County


Wyandot County


Hancock County


Harrison County


Erie County


Union County


Lake County


Monroe County


Holmes County


Fairfield County


Trumbull County


Franklin County


Henry County


Auglaize County


Mercer County


Mahoning County


Wayne County


Greene County


Medina County


Warren County


Putnam County


Geauga County


Delaware County


Noble County




Notes:
Created by statecancerprofiles.cancer.gov on 02/07/2023 12:18 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 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.



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.