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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

Lung & Bronchus

All Races, Both Sexes

Sorted by rate

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


Calhoun County


Franklin County


Jackson County


Poinsett County


Chicot County


Monroe County


Lawrence County


Sharp County


Mississippi County


Clay County


Nevada County


Lincoln County


Randolph County


Scott County


Ashley County


Crittenden County


Clark County


Jefferson County


Woodruff County


Miller County


Cleveland County


Baxter County


Fulton County


Stone County


Perry County


Pike County


Johnson County


Bradley County


Lonoke County


Ouachita County


Union County


St. Francis County


Marion County


Cleburne County


Greene County


Logan County


Searcy County


Grant County


Dallas County


Madison County


Hot Spring County


Crawford County


Cross County


Polk County


Pope County


Little River County


White County


Conway County


Arkansas County


Craighead County


Van Buren County


Desha County


Drew County


Columbia County


Boone County


Yell County


Izard County


Prairie County


Hempstead County


Montgomery County


Sevier County


Lafayette County


Lee County


Saline County


Newton County


Sebastian County


Garland County


Phillips County


Independence County


Faulkner County


Carroll County


Howard County


Pulaski County


Benton County


Washington County




Notes:
Created by statecancerprofiles.cancer.gov on 06/01/2024 3:59 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.