Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for South Carolina by County

All Cancer Sites, 2019-2023

All Races (includes Hispanic), Female, All Ages

Sorted by Recentaapc

Explanation of Column Headers

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

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


South Carolina


United States


Berkeley County


Oconee County


Jasper County


Allendale County


Williamsburg County


Charleston County


McCormick County


Beaufort County


York County


Cherokee County


Florence County


Dillon County


Dorchester County


Kershaw County


Spartanburg County


Aiken County


Greenville County


Richland County


Clarendon County


Edgefield County


Georgetown County


Sumter County


Chesterfield County


Greenwood County


Lexington County


Pickens County


Darlington County


Horry County


Lee County


Anderson County


Chester County


Lancaster County


Marion County


Calhoun County


Marlboro County


Orangeburg County


Saluda County


Colleton County


Union County


Abbeville County


Fairfield County


Hampton County


Bamberg County


Newberry County


Barnwell County


Laurens County





Notes:
Created by statecancerprofiles.cancer.gov on 03/21/2026 8:25 pm.

State Cancer Registries may provide more current or more local data.

Trend
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.


† 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.

‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural–urban county classifications are based on the 2023 USDA Rural–Urban Continuum Codes (except for Connecticut Counties which use 2013 codes). State-level cancer rates for rural areas are calculated using cancer cases registered exclusively in rural counties, while state-level cancer rates for urban areas are calculated using cases registered exclusively in urban counties.

Data for United States does not include Puerto Rico.