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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, Both Sexes

Sorted by rateratio

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


Monroe County


Calhoun County


Crittenden County


Lawrence County


Clay County


Cross County


Arkansas County


Mississippi County


Union County


Jackson County


Poinsett County


Sharp County


Dallas County


Chicot County


Woodruff County


Ashley County


Scott County


Randolph County


Lee County


Ouachita County


Phillips County


Miller County


Jefferson County


Drew County


Polk County


Lincoln County


Johnson County


Fulton County


Cleveland County


Lonoke County


Baxter County


Franklin County


Clark County


Columbia County


Nevada County


Bradley County


Greene County


Hot Spring County


Crawford County


Logan County


Marion County


Montgomery County


Madison County


Perry County


Stone County


White County


Searcy County


Pike County


Boone County


Grant County


Yell County


Conway County


Cleburne County


Desha County


Carroll County


Pope County


Craighead County


St. Francis County


Newton County


Little River County


Sebastian County


Prairie County


Izard County


Garland County


Sevier County


Howard County


Lafayette County


Pulaski County


Saline County


Faulkner County


Van Buren County


Hempstead County


Independence County


Washington County


Benton County




Notes:
Created by statecancerprofiles.cancer.gov on 05/09/2024 9:39 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 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.