State Cancer Profiles

Interpretation of Death Rates Data

Death Rate Report for South Carolina by County

All Cancer Sites, 2019-2023

Hispanic (any race), Both Sexes, 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:

• 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.

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

• Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
• Data is currently being suppressed if there are fewer than 16 counts for the time period.

Line by Line Interpretation of the Report

South Carolina

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 79.5 with a 95% confidence interval from 73.1 to 86.2 and 143 average annual counts over 2019-2023.
• CI*Rank ⋔ : N/A
• Recent Trend : The trend is stable because the trend is -0.6 with a 95% confidence interval from -1.8 to 1.2.

United States

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 106.0 with a 95% confidence interval from 105.5 to 106.4 and 45,560 average annual counts over 2019-2023.
• CI*Rank ⋔ : N/A
• Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.2 to -1.1.

Greenville County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 79.7 with a 95% confidence interval from 63.7 to 98.1 and 22 average annual counts over 2019-2023.
• CI*Rank ⋔ : 7 (3, 12)
• Recent Trend : The trend is stable because the trend is -2.7 with a 95% confidence interval from -5.6 to 1.8.

Charleston County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 68.3 with a 95% confidence interval from 49.0 to 91.9 and 10 average annual counts over 2019-2023.
• CI*Rank ⋔ : 11 (4, 13)
• Recent Trend : The trend is falling because the trend is -3.9 with a 95% confidence interval from -6.3 to -0.5.

Aiken County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 55.1 with a 95% confidence interval from 32.9 to 85.5 and 4 average annual counts over 2019-2023.
• CI*Rank ⋔ : 12 (5, 13)
• Recent Trend :

Anderson County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 52.6 with a 95% confidence interval from 30.0 to 85.1 and 3 average annual counts over 2019-2023.
• CI*Rank ⋔ : 13 (5, 13)
• Recent Trend :

Beaufort County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 73.8 with a 95% confidence interval from 50.9 to 102.5 and 9 average annual counts over 2019-2023.
• CI*Rank ⋔ : 10 (2, 13)
• Recent Trend :

Berkeley County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 99.0 with a 95% confidence interval from 65.5 to 141.5 and 7 average annual counts over 2019-2023.
• CI*Rank ⋔ : 3 (1, 12)
• Recent Trend :

Dorchester County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 112.5 with a 95% confidence interval from 68.9 to 170.2 and 5 average annual counts over 2019-2023.
• CI*Rank ⋔ : 1 (1, 11)
• Recent Trend :

Horry County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 74.3 with a 95% confidence interval from 54.9 to 97.9 and 11 average annual counts over 2019-2023.
• CI*Rank ⋔ : 8 (3, 13)
• Recent Trend :

Lancaster County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 98.4 with a 95% confidence interval from 56.9 to 155.8 and 4 average annual counts over 2019-2023.
• CI*Rank ⋔ : 4 (1, 13)
• Recent Trend :

Lexington County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 100.9 with a 95% confidence interval from 72.2 to 135.9 and 10 average annual counts over 2019-2023.
• CI*Rank ⋔ : 2 (1, 11)
• Recent Trend :

Richland County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 88.6 with a 95% confidence interval from 63.2 to 119.5 and 9 average annual counts over 2019-2023.
• CI*Rank ⋔ : 6 (1, 12)
• Recent Trend :

Spartanburg County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 73.9 with a 95% confidence interval from 52.2 to 100.5 and 11 average annual counts over 2019-2023.
• CI*Rank ⋔ : 9 (2, 13)
• Recent Trend :

York County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 96.9 with a 95% confidence interval from 69.4 to 130.5 and 9 average annual counts over 2019-2023.
• CI*Rank ⋔ : 5 (1, 11)
• Recent Trend :

Abbeville County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Allendale County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Bamberg County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Barnwell County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Calhoun County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Cherokee County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Chester County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Chesterfield County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Clarendon County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Colleton County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Darlington County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Dillon County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Edgefield County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Fairfield County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Florence County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Georgetown County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Greenwood County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Hampton County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Jasper County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Kershaw County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Laurens County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Lee County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Marion County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Marlboro County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

McCormick County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Newberry County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Oconee County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Orangeburg County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Pickens County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Saluda County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Sumter County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Union County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Williamsburg County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : ***
• Rate :
• CI*Rank ⋔ : *
• Recent Trend : *

Notes:
Created by statecancerprofiles.cancer.gov on 03/18/2026 8:13 am.

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



† 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 has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category.

If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

NHIA (NAACCR Hispanic Identification Algorithm) was used for Hispanic Ethnicity (see Technical Notes section of the USCS).

Data for United States does not include Puerto Rico.