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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2014-2018

Arkansas Counties versus United States

All Cancer Sites

All Races, Both Sexes

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

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


Line by Line Interpretation of the Report


United States


Arkansas


Bradley County


Calhoun County


Chicot County


Clay County


Cleburne County


Cross County


Dallas County


Fulton County


Grant County


Greene County


Jackson County


Johnson County


Lawrence County


Lincoln County


Logan County


Madison County


Monroe County


Ouachita County


Poinsett County


Randolph County


Sharp County


Woodruff County


Arkansas County


Ashley County


Baxter County


Boone County


Columbia County


Crawford County


Crittenden County


Drew County


Franklin County


Hot Spring County


Independence County


Jefferson County


Lee County


Lonoke County


Marion County


Miller County


Mississippi County


Nevada County


Phillips County


Polk County


Pope County


Sebastian County


Union County


White County


Yell County


Montgomery County


Newton County


Perry County


Pike County


Scott County


Benton County


Carroll County


Clark County


Cleveland County


Conway County


Craighead County


Desha County


Faulkner County


Garland County


Hempstead County


Howard County


Izard County


Lafayette County


Little River County


Prairie County


Pulaski County


Saline County


Searcy County


Sevier County


St. Francis County


Stone County


Van Buren County


Washington County




Notes:
Created by statecancerprofiles.cancer.gov on 03/08/2021 5:14 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2017 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).


Interpret Rankings provides insight into interpreting cancer 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.