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Interpretation of Death Rates Data

Death Rate Report for Oklahoma by County

All Cancer Sites, 2011-2015

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

Sorted by Rate

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

    Roger Mills County

    Woodward County

    Harper County

    Beaver County

    Woods County

    Washita County

    Coal County

    Logan County

    Texas County

    Alfalfa County

    Osage County

    Noble County

    Harmon County

    Cleveland County

    Canadian County

    Payne County

    Wagoner County

    Rogers County

    McIntosh County

    Johnston County

    Kingfisher County

    Blaine County

    Beckham County

    Greer County

    Atoka County

    Garfield County

    McClain County

    Grant County

    Latimer County

    Tulsa County

    Comanche County

    Delaware County

    Stephens County

    Oklahoma County

    Washington County

    Haskell County

    Dewey County

    Major County

    Lincoln County

    Ellis County

    Craig County

    Pontotoc County

    Tillman County

    Bryan County

    Pawnee County

    Murray County

    Love County

    Pottawatomie County

    Cherokee County

    Grady County

    Nowata County

    Caddo County

    Mayes County

    Creek County

    Marshall County

    Carter County

    Kay County

    Muskogee County

    Custer County

    Pittsburg County

    Garvin County

    Cotton County

    Sequoyah County

    McCurtain County

    Le Flore County

    Pushmataha County

    Seminole County

    Jackson County

    Ottawa County

    Okmulgee County

    Adair County

    Kiowa County

    Hughes County

    Jefferson County

    Choctaw County

    Okfuskee County

    Cimarron County

    Created by on 07/20/2019 10:14 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.