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Interpretation of Death Rates Data

Death Rate Report for South Carolina by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 122.7 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

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


Colleton County


Dillon County


Bamberg County


Hampton County


Newberry County


Chester County


Marlboro County


Fairfield County


Marion County


Union County


Laurens County


Allendale County


Chesterfield County


Kershaw County


Barnwell County


Williamsburg County


Clarendon County


Darlington County


Cherokee County


Sumter County


Orangeburg County


Abbeville County


Lee County


Calhoun County


Richland County


Greenwood County


Saluda County


Spartanburg County


Horry County


Florence County


Anderson County


Lexington County


Georgetown County


York County


Aiken County


Pickens County


Berkeley County


Dorchester County


Jasper County


Lancaster County


Oconee County


Edgefield County


McCormick County


Charleston County


Greenville County


Beaufort County




Notes:
Created by statecancerprofiles.cancer.gov on 10/14/2024 3:57 am.

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 (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). 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.

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

Φ Rural-Urban Continuum Codes provided by the USDA.


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Data for United States does not include Puerto Rico.