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Interpretation of Death Rates Data

Death Rate Report for Arkansas by County

Lung & Bronchus, 2011-2015

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

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 45.5 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

    Poinsett County

    Jackson County

    Clay County

    Lawrence County

    Cross County

    Woodruff County

    Howard County

    Cleveland County

    Phillips County

    Calhoun County

    Monroe County

    Grant County

    Perry County

    Hot Spring County

    White County

    Nevada County

    Pike County

    Desha County

    Randolph County

    Logan County

    Lonoke County

    Mississippi County

    Arkansas County

    Greene County

    Chicot County

    Crittenden County

    Madison County

    Cleburne County

    Marion County

    Bradley County

    Sebastian County

    Union County

    Jefferson County

    Ouachita County

    Sharp County

    Dallas County

    Johnson County

    Crawford County

    Lafayette County

    Yell County

    Miller County

    Pope County

    Independence County

    Columbia County

    Prairie County

    Baxter County

    Garland County

    Boone County

    Faulkner County

    Stone County

    Scott County

    Ashley County

    Polk County

    Searcy County

    Clark County

    St. Francis County

    Saline County

    Franklin County

    Fulton County

    Newton County

    Drew County

    Hempstead County

    Sevier County

    Izard County

    Lee County

    Pulaski County

    Craighead County

    Van Buren County

    Montgomery County

    Washington County

    Lincoln County

    Conway County

    Benton County

    Carroll County

    Little River County

    Created by on 07/21/2019 2:54 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.