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Interpretation of Death Rates Data

Death Rate Report for Ohio by County

Kidney & Renal Pelvis, 2015-2019

All Races (includes Hispanic), Both Sexes, 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


Defiance County


Union County


Lawrence County


Tuscarawas County


Ottawa County


Logan County


Crawford County


Pickaway County


Brown County


Allen County


Seneca County


Muskingum County


Ashtabula County


Ross County


Miami County


Clermont County


Clark County


Huron County


Lucas County


Jefferson County


Montgomery County


Washington County


Medina County


Columbiana County


Scioto County


Geauga County


Portage County


Warren County


Butler County


Richland County


Fairfield County


Hamilton County


Stark County


Lake County


Marion County


Wood County


Greene County


Franklin County


Delaware County


Summit County


Wayne County


Licking County


Lorain County


Cuyahoga County


Mahoning County


Erie County


Trumbull County


Adams County Ashland County Athens County Auglaize County Belmont County Carroll County Champaign County Clinton County Coshocton County Darke County Fayette County Fulton County Gallia County Guernsey County Hancock County Hardin County Harrison County Henry County Highland County Hocking County Holmes County Jackson County Knox County Madison County Meigs County Mercer County Monroe County Morgan County Morrow County Noble County Paulding County Perry County Pike County Preble County Putnam County Sandusky County Shelby County Van Wert County Vinton County Williams County Wyandot County

Notes:
Created by statecancerprofiles.cancer.gov on 07/02/2022 10:10 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:
Adams, Ashland, Athens, Auglaize, Belmont, Carroll, Champaign, Clinton, Coshocton, Darke, Fayette, Fulton, Gallia, Guernsey, Hancock, Hardin, Harrison, Henry, Highland, Hocking, Holmes, Jackson, Knox, Madison, Meigs, Mercer, Monroe, Morgan, Morrow, Noble, Paulding, Perry, Pike, Preble, Putnam, Sandusky, Shelby, Van Wert, Vinton, 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.