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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2019-2023

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


Bacon County


Barrow County


Brantley County


Butts County


Coffee County


Crawford County


Crisp County


Early County


Elbert County


Emanuel County


Evans County


Franklin County


Habersham County


Haralson County


Jeff Davis County


Jefferson County


Laurens County


Lee County


Liberty County


Lumpkin County


Madison County


Meriwether County


Mitchell County


Montgomery County


Pickens County


Pierce County


Pike County


Screven County


Spalding County


Stephens County


Stewart County


Sumter County


Tift County


Toombs County


Treutlen County


Twiggs County


Walton County


Wayne County


White County


Wilkes County


Bartow County


Ben Hill County


Berrien County


Bryan County


Camden County


Carroll County


Chattooga County


Dade County


Decatur County


Dodge County


Dougherty County


Effingham County


Floyd County


Gordon County


Murray County


Muscogee County


Newton County


Peach County


Polk County


Richmond County


Tattnall County


Terrell County


Thomas County


Troup County


Upson County


Walker County


Ware County


Washington County


Whitfield County


Banks County


Bleckley County


Brooks County


Calhoun County


Candler County


Charlton County


Chattahoochee County


Echols County


Glascock County


Hancock County


Jasper County


Jenkins County


Johnson County


Jones County


Lanier County


Long County


Macon County


Marion County


McIntosh County


Miller County


Morgan County


Oglethorpe County


Putnam County


Quitman County


Rabun County


Schley County


Telfair County


Towns County


Turner County


Warren County


Wheeler County


Wilkinson County


Worth County


Appling County


Baker County


Baldwin County


Bibb County


Bulloch County


Burke County


Catoosa County


Chatham County


Cherokee County


Clarke County


Clay County


Clayton County


Clinch County


Cobb County


Colquitt County


Columbia County


Cook County


Coweta County


Dawson County


DeKalb County


Dooly County


Douglas County


Fannin County


Fulton County


Gilmer County


Glynn County


Grady County


Greene County


Gwinnett County


Hall County


Harris County


Hart County


Heard County


Henry County


Houston County


Irwin County


Jackson County


Lamar County


Lincoln County


Lowndes County


McDuffie County


Monroe County


Paulding County


Pulaski County


Randolph County


Rockdale County


Seminole County


Talbot County


Taylor County


Union County


Webster County


Wilcox County


Fayette County


Forsyth County


Oconee County


Taliaferro County

Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2026 3:58 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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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 do not include Puerto Rico.