Return to Home Mortality > Table > Interpret

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


    Oklahoma


    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




    Notes:
    Created by statecancerprofiles.cancer.gov on 07/20/2019 10:14 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.