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Interpretation of Death Rates Data

Death Rate Report for Ohio by County

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Name

Explanation of Column Headers

Objective - The objective of 161.4 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

  • Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
  • Data is currently being suppressed if there are fewer than 16 counts for the time period.

  • Line by Line Interpretation of the Report


    United States

    Adams County

    Allen County

    Ashland County

    Ashtabula County

    Athens County

    Auglaize County

    Belmont County

    Brown County

    Butler County

    Carroll County

    Champaign County

    Clark County

    Clermont County

    Clinton County

    Columbiana County

    Coshocton County

    Crawford County

    Cuyahoga County

    Darke County

    Defiance County

    Delaware County

    Erie County

    Fairfield County

    Fayette County

    Franklin County

    Fulton County

    Gallia County

    Geauga County

    Greene County

    Guernsey County

    Hamilton County

    Hancock County

    Hardin County

    Harrison County

    Henry County

    Highland County

    Hocking County

    Holmes County

    Huron County

    Jackson County

    Jefferson County

    Knox County

    Lake County

    Lawrence County

    Licking County

    Logan County

    Lorain County

    Lucas County

    Madison County

    Mahoning County

    Marion County

    Medina County

    Meigs County

    Mercer County

    Miami County

    Monroe County

    Montgomery County

    Morgan County

    Morrow County

    Muskingum County

    Noble County

    Ottawa County

    Paulding County

    Perry County

    Pickaway County

    Pike County

    Portage County

    Preble County

    Putnam County

    Richland County

    Ross County

    Sandusky County

    Scioto County

    Seneca County

    Shelby County

    Stark County

    Summit County

    Trumbull County

    Tuscarawas County

    Union County

    Van Wert County

    Vinton County

    Warren County

    Washington County

    Wayne County

    Williams County

    Wood County

    Wyandot County

    Created by on 07/18/2019 12:51 am.

    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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

    Healthy People 2020 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 availablility, 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.