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Interpretation of Death Rates Data

Death Rate Report for Arkansas 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


    Arkansas


    United States


    Phillips County


    Poinsett County


    Cross County


    Chicot County


    Jackson County


    Monroe County


    Dallas County


    Clay County


    Crittenden County


    Mississippi County


    Marion County


    Grant County


    Union County


    Randolph County


    Woodruff County


    Lee County


    Ashley County


    Scott County


    Logan County


    Miller County


    Columbia County


    Jefferson County


    Ouachita County


    Searcy County


    St. Francis County


    Calhoun County


    White County


    Yell County


    Bradley County


    Arkansas County


    Lawrence County


    Perry County


    Lonoke County


    Nevada County


    Polk County


    Pope County


    Crawford County


    Madison County


    Prairie County


    Hot Spring County


    Garland County


    Howard County


    Independence County


    Cleburne County


    Baxter County


    Izard County


    Boone County


    Drew County


    Greene County


    Franklin County


    Newton County


    Sebastian County


    Sharp County


    Craighead County


    Pike County


    Lincoln County


    Sevier County


    Pulaski County


    Stone County


    Conway County


    Hempstead County


    Desha County


    Johnson County


    Faulkner County


    Saline County


    Washington County


    Van Buren County


    Benton County


    Little River County


    Clark County


    Lafayette County


    Carroll County


    Fulton County


    Montgomery County


    Cleveland County




    Notes:
    Created by statecancerprofiles.cancer.gov on 06/20/2019 1:06 pm.

    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.