Health Outcomes
South Carolina Mortality - Table
All Causes of Death
County | Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) | Average Annual Count | Recent Trend | Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval) |
|---|---|---|---|---|
| South Carolina | 918.8 (915.4, 922.2) | 57,859 | rising  | 3.0 (1.3, 5.7) |
| United States | 793.7 (793.3, 794.1) | 3,164,251 | rising | 1.9 (1.0, 3.6) |
| Dillon County | 1,306.3 (1,251.0, 1,363.5) | 446 | rising | 3.1 (1.4, 8.5) |
| Marion County | 1,288.9 (1,235.6, 1,344.1) | 485 | rising | 5.0 (1.9, 9.0) |
| Chester County | 1,246.9 (1,197.3, 1,298.2) | 513 | rising | 5.7 (2.3, 11.0) |
| Darlington County | 1,243.8 (1,207.9, 1,280.6) | 983 | rising | 5.3 (2.3, 7.3) |
| Colleton County | 1,239.3 (1,194.2, 1,285.7) | 624 | rising | 4.2 (1.5, 7.4) |
| Lee County | 1,233.3 (1,166.0, 1,303.8) | 274 | stable  | 2.9 (0.0, 8.9) |
| Allendale County | 1,228.4 (1,132.4, 1,331.0) | 132 | stable | 0.7 (-0.4, 1.8) |
| Marlboro County | 1,198.4 (1,145.0, 1,253.9) | 402 | rising | 5.2 (0.5, 8.7) |
| Union County | 1,197.8 (1,146.6, 1,251.0) | 450 | rising | 6.6 (1.4, 9.9) |
| Fairfield County | 1,182.2 (1,122.5, 1,244.4) | 340 | rising | 2.7 (1.3, 5.3) |
| Cherokee County | 1,166.0 (1,128.7, 1,204.3) | 778 | rising | 3.5 (1.9, 7.0) |
| Barnwell County | 1,146.8 (1,086.9, 1,209.3) | 298 | rising | 3.9 (0.4, 9.3) |
| Hampton County | 1,145.9 (1,084.2, 1,210.4) | 271 | rising | 3.2 (1.0, 8.4) |
| Bamberg County | 1,145.1 (1,074.5, 1,219.6) | 228 | rising | 3.9 (1.1, 10.9) |
| Williamsburg County | 1,143.8 (1,096.4, 1,192.9) | 486 | rising | 3.8 (0.2, 9.2) |
| Chesterfield County | 1,136.2 (1,095.5, 1,178.2) | 630 | rising | 4.8 (1.8, 8.5) |
| Florence County | 1,132.1 (1,108.6, 1,156.0) | 1,853 | rising | 2.8 (0.6, 4.5) |
| Orangeburg County | 1,124.4 (1,095.4, 1,154.1) | 1,263 | rising | 5.3 (2.3, 8.8) |
| Laurens County | 1,116.3 (1,084.2, 1,149.3) | 970 | rising | 2.7 (0.9, 6.4) |
| Clarendon County | 1,068.7 (1,024.1, 1,115.0) | 499 | rising | 5.7 (2.7, 10.8) |
| Sumter County | 1,042.6 (1,016.8, 1,068.8) | 1,310 | rising | 2.6 (1.3, 5.3) |
| Anderson County | 1,018.5 (1,000.7, 1,036.5) | 2,627 | rising | 2.8 (1.2, 6.7) |
| Newberry County | 1,018.5 (978.1, 1,060.3) | 516 | rising | 5.4 (0.6, 10.6) |
| Greenwood County | 1,002.4 (972.7, 1,032.9) | 925 | rising | 3.0 (2.0, 4.7) |
| Abbeville County | 997.9 (949.5, 1,048.5) | 353 | rising | 1.0 (0.3, 1.7) |
| Calhoun County | 988.8 (925.4, 1,055.9) | 210 | rising | 4.2 (0.4, 10.2) |
| Kershaw County | 988.4 (957.5, 1,020.1) | 826 | rising | 5.4 (1.4, 9.9) |
| Spartanburg County | 980.6 (966.3, 995.1) | 3,710 | rising | 2.9 (1.2, 5.7) |
| McCormick County | 961.4 (882.2, 1,047.2) | 163 | stable | -0.2 (-1.1, 0.7) |
| Saluda County | 953.8 (900.8, 1,009.4) | 259 | rising | 8.6 (1.5, 13.1) |
| Aiken County | 952.7 (934.2, 971.5) | 2,163 | rising | 3.6 (1.6, 7.9) |
| Pickens County | 928.9 (907.1, 951.0) | 1,463 | rising | 4.5 (0.8, 7.2) |
| Oconee County | 924.7 (898.5, 951.5) | 1,068 | rising | 2.6 (1.2, 4.8) |
| Jasper County | 922.2 (875.8, 970.5) | 338 | rising | 6.4 (0.5, 10.8) |
| Georgetown County | 919.1 (889.9, 949.1) | 948 | rising | 2.9 (0.6, 7.0) |
| Horry County | 918.9 (906.1, 931.8) | 4,573 | rising | 1.2 (0.6, 2.3) |
| Richland County | 883.1 (869.9, 896.5) | 3,551 | rising | 0.9 (0.1, 3.3) |
| York County | 882.5 (866.8, 898.4) | 2,541 | rising | 3.0 (0.3, 4.8) |
| Edgefield County | 871.0 (826.2, 917.9) | 303 | rising | 8.8 (4.1, 14.6) |
| Lexington County | 871.0 (856.8, 885.4) | 2,980 | rising | 3.8 (1.6, 5.2) |
| Dorchester County | 851.6 (831.3, 872.2) | 1,403 | rising | 1.5 (0.6, 3.1) |
| Greenville County | 851.1 (840.6, 861.7) | 5,164 | rising | 4.0 (1.9, 5.7) |
| Lancaster County | 846.5 (823.6, 870.0) | 1,112 | stable | 0.2 (-0.3, 2.1) |
| Berkeley County | 820.9 (803.8, 838.3) | 1,869 | rising | 0.9 (0.1, 2.7) |
| Charleston County | 750.8 (739.7, 762.0) | 3,657 | stable | 0.6 (-0.1, 1.6) |
| Beaufort County | 614.4 (600.9, 628.1) | 1,904 | rising | 3.3 (0.7, 4.9) |
Suggested Citation:
HDPulse: An Ecosystem of Minority Health and Health Disparities Resources. National Institute on Minority Health and Health Disparities. Created 5/4/2025. Available from https://hdpulse.nimhd.nih.gov
Notes:
Source: Death data provided by the National Vital Statistics System.
† Death rates (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for mortality data.
State Health Departments may provide more current or more local data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint Regression Program (Version 4.9.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
For more detailed information about which causes of death are included in All Causes of Death, see the definitions.
Data for United States does not include Puerto Rico.
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.
Interpret Rankings provides insight into interpreting mortality 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 deaths) has a dramatic effect on the calculated rate.
Rural-Urban Continuum Codes (developed by the United States Department of Agriculture (USDA) ) are used on this website to distinguish which counties are rural and urban; additionally, how much of a state’s population is classified as rural or urban. For more information about using Rural-Urban Continuum Codes, go to the rural urban page.
HDPulse: An Ecosystem of Minority Health and Health Disparities Resources. National Institute on Minority Health and Health Disparities. Created 5/4/2025. Available from https://hdpulse.nimhd.nih.gov
Notes:
Source: Death data provided by the National Vital Statistics System.
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.
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 rates (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for mortality data.
State Health Departments may provide more current or more local data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint Regression Program (Version 4.9.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
For more detailed information about which causes of death are included in All Causes of Death, see the definitions.
Data for United States does not include Puerto Rico.
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.
Interpret Rankings provides insight into interpreting mortality 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 deaths) has a dramatic effect on the calculated rate.
Rural-Urban Continuum Codes (developed by the United States Department of Agriculture (USDA) ) are used on this website to distinguish which counties are rural and urban; additionally, how much of a state’s population is classified as rural or urban. For more information about using Rural-Urban Continuum Codes, go to the rural urban page.