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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


    Ohio


    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




    Notes:
    Created by statecancerprofiles.cancer.gov on 07/18/2019 12:51 am.

    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 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.