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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Georgia Counties versus United States

All Cancer Sites

All Races, Both Sexes

Sorted by priority index

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


Georgia


Atkinson County


Barrow County


Brantley County


Brooks County


Butts County


Carroll County


Clinch County


Crawford County


Dade County


Franklin County


Haralson County


Jasper County


Jefferson County


Lee County


Madison County


Montgomery County


Pierce County


Pike County


Seminole County


Stephens County


Treutlen County


Turner County


Upson County


Warren County


Washington County


Wilkes County


Bartow County


Ben Hill County


Bryan County


Bulloch County


Chattooga County


Colquitt County


Decatur County


Dougherty County


Effingham County


Elbert County


Emanuel County


Floyd County


Gordon County


Jackson County


Laurens County


McDuffie County


Mitchell County


Murray County


Muscogee County


Newton County


Peach County


Polk County


Richmond County


Screven County


Spalding County


Sumter County


Terrell County


Thomas County


Tift County


Toombs County


Troup County


Walker County


Walton County


Ware County


Wayne County


Baker County


Banks County


Calhoun County


Evans County


Glascock County


Habersham County


Heard County


Jenkins County


Miller County


Oglethorpe County


Quitman County


Stewart County


Taylor County


Towns County


Appling County


Bacon County


Baldwin County


Berrien County


Bibb County


Bleckley County


Burke County


Camden County


Candler County


Catoosa County


Charlton County


Chatham County


Chattahoochee County


Cherokee County


Clarke County


Clay County


Clayton County


Cobb County


Coffee County


Columbia County


Cook County


Coweta County


Crisp County


Dawson County


Dodge County


Dooly County


Douglas County


Early County


Echols County


Fannin County


Fulton County


Gilmer County


Glynn County


Grady County


Greene County


Gwinnett County


Hall County


Hancock County


Harris County


Hart County


Henry County


Houston County


Irwin County


Jeff Davis County


Johnson County


Jones County


Lamar County


Lanier County


Liberty County


Lincoln County


Long County


Lowndes County


Lumpkin County


Macon County


Marion County


McIntosh County


Meriwether County


Monroe County


Morgan County


Paulding County


Pickens County


Putnam County


Rabun County


Randolph County


Rockdale County


Schley County


Talbot County


Tattnall County


Telfair County


Twiggs County


Webster County


Wheeler County


White County


Whitfield County


Wilcox County


Wilkinson County


Worth County


DeKalb County


Fayette County


Forsyth County


Oconee County


Pulaski County


Union County


Taliaferro County

Notes:
Created by statecancerprofiles.cancer.gov on 04/30/2024 1:59 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

** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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).
Trend for the following could not be reliably determined due to small number of deaths per year:
Taliaferro County


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.