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Interpretation of Death Rates Data

Death Rate Report for Ohio by County

Uterus (Corpus & Uterus, NOS), 2015-2019

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

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


Ohio


United States


Ashtabula County


Knox County


Lawrence County


Cuyahoga County


Erie County


Hamilton County


Wood County


Hancock County


Licking County


Lake County


Butler County


Franklin County


Tuscarawas County


Lorain County


Richland County


Greene County


Clark County


Wayne County


Portage County


Muskingum County


Fairfield County


Geauga County


Summit County


Clermont County


Medina County


Mahoning County


Warren County


Stark County


Lucas County


Montgomery County


Trumbull County


Columbiana County


Allen County


Delaware County


Adams County Ashland County Athens County Auglaize County Belmont County Brown County Carroll County Champaign County Clinton County Coshocton County Crawford County Darke County Defiance County Fayette County Fulton County Gallia County Guernsey County Hardin County Harrison County Henry County Highland County Hocking County Holmes County Huron County Jackson County Jefferson County Logan County Madison County Marion County Meigs County Mercer County Miami County Monroe County Morgan County Morrow County Noble County Ottawa County Paulding County Perry County Pickaway County Pike County Preble County Putnam County Ross County Sandusky County Scioto County Seneca County Shelby County Union County Van Wert County Vinton County Washington County Williams County Wyandot County

Notes:
Created by statecancerprofiles.cancer.gov on 01/20/2022 7:20 am.

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:
Adams, Ashland, Athens, Auglaize, Belmont, Brown, Carroll, Champaign, Clinton, Coshocton, Crawford, Darke, Defiance, Fayette, Fulton, Gallia, Guernsey, Hardin, Harrison, Henry, Highland, Hocking, Holmes, Huron, Jackson, Jefferson, Logan, Madison, Marion, Meigs, Mercer, Miami, Monroe, Morgan, Morrow, Noble, Ottawa, Paulding, Perry, Pickaway, Pike, Preble, Putnam, Ross, Sandusky, Scioto, Seneca, Shelby, Union, Van Wert, Vinton, Washington, Williams, Wyandot

† 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.
* 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.