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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Arkansas Counties versus United States

All Cancer Sites

All Races, Male

Sorted by trend

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


Jackson County


Chicot County


Clay County


Randolph County


Sharp County


Drew County


Greene County


Lincoln County


Lawrence County


Cross County


Ouachita County


Pike County


Stone County


Calhoun County


Fulton County


Grant County


Mississippi County


Scott County


Woodruff County


Arkansas County


Clark County


Garland County


Marion County


Monroe County


Poinsett County


Polk County


Union County


Lonoke County


Montgomery County


Saline County


Baxter County


Benton County


Cleburne County


Franklin County


Johnson County


Madison County


Ashley County


Perry County


Van Buren County


Boone County


Columbia County


Hot Spring County


Howard County


Logan County


Sebastian County


Conway County


Craighead County


Crittenden County


Dallas County


Jefferson County


Bradley County


Faulkner County


Searcy County


Crawford County


Lafayette County


Miller County


Prairie County


Sevier County


White County


Carroll County


Desha County


Hempstead County


Independence County


Lee County


Izard County


Newton County


Nevada County


Pulaski County


Yell County


Phillips County


Washington County


Cleveland County


St. Francis County


Little River County


Pope County




Notes:
Created by statecancerprofiles.cancer.gov on 06/02/2024 4:40 am.

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 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.