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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 65+

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
South Carolina No 875.3 (866.2, 884.4) N/A 7,358 falling falling trend -1.6 (-1.7, -1.5)
United States No 855.4 (854.2, 856.5) N/A 431,628 falling falling trend -2.0 (-2.2, -1.7)
Colleton County No 1,138.1 (1,028.4, 1,256.3) 1 (1, 12) 81 stable stable trend 0.0 (-0.4, 0.4)
Williamsburg County No 1,034.5 (921.1, 1,157.8) 2 (1, 32) 63 stable stable trend -0.3 (-0.9, 0.3)
Union County No 1,033.5 (912.8, 1,165.6) 3 (1, 36) 54 stable stable trend -0.2 (-0.7, 0.4)
Chester County No 1,033.3 (916.5, 1,160.8) 4 (1, 34) 58 falling falling trend -0.7 (-1.2, -0.2)
Marlboro County No 1,028.7 (898.1, 1,172.8) 5 (1, 38) 46 falling falling trend -0.9 (-1.6, -0.2)
Laurens County No 1,020.1 (939.4, 1,105.9) 6 (1, 26) 121 stable stable trend -0.2 (-0.6, 0.3)
Barnwell County No 1,016.2 (874.2, 1,174.9) 7 (1, 42) 38 stable stable trend -0.2 (-0.9, 0.4)
Lee County No 1,006.1 (851.6, 1,180.5) 8 (1, 43) 31 stable stable trend -9.0 (-18.4, 1.6)
Abbeville County No 977.8 (859.1, 1,108.2) 9 (1, 41) 50 stable stable trend -0.6 (-1.3, 0.1)
Allendale County No 976.4 (767.9, 1,223.8) 10 (1, 46) 16 stable stable trend -0.7 (-1.7, 0.3)
Calhoun County No 974.6 (824.2, 1,144.3) 11 (1, 44) 31 stable stable trend -0.2 (-1.1, 0.8)
Sumter County No 972.6 (906.6, 1,042.2) 12 (3, 32) 163 falling falling trend -0.8 (-1.2, -0.4)
Kershaw County No 958.4 (879.0, 1,043.0) 13 (2, 37) 110 falling falling trend -2.9 (-4.3, -1.4)
Hampton County No 949.2 (807.3, 1,108.8) 14 (1, 44) 33 stable stable trend -0.5 (-1.4, 0.4)
Cherokee County No 947.8 (858.8, 1,043.5) 15 (2, 40) 86 falling falling trend -1.9 (-2.9, -0.9)
Newberry County No 946.8 (847.3, 1,054.6) 16 (2, 42) 67 falling falling trend -0.6 (-1.1, -0.1)
Richland County No 939.6 (900.7, 979.6) 17 (7, 30) 459 falling falling trend -1.1 (-1.4, -0.8)
Darlington County No 928.9 (852.0, 1,010.7) 18 (4, 41) 111 falling falling trend -2.2 (-3.2, -1.1)
Dorchester County No 914.2 (855.2, 976.1) 19 (7, 39) 188 falling falling trend -1.6 (-2.0, -1.2)
York County No 908.5 (863.9, 954.9) 20 (9, 38) 324 falling falling trend -2.4 (-3.3, -1.5)
Horry County No 908.1 (875.8, 941.3) 21 (11, 35) 653 falling falling trend -1.0 (-1.3, -0.7)
Spartanburg County No 905.5 (867.3, 944.9) 22 (11, 36) 433 falling falling trend -1.7 (-2.1, -1.2)
Greenwood County No 903.2 (830.8, 980.2) 23 (6, 42) 117 falling falling trend -0.9 (-1.4, -0.5)
Bamberg County No 901.3 (754.6, 1,068.1) 24 (1, 46) 27 stable stable trend -0.9 (-1.9, 0.0)
Marion County No 897.8 (790.0, 1,016.3) 25 (3, 44) 52 falling falling trend -1.2 (-1.8, -0.6)
Saluda County No 895.6 (768.5, 1,037.6) 26 (2, 45) 36 falling falling trend -1.0 (-1.8, -0.3)
McCormick County No 891.9 (740.3, 1,065.0) 27 (1, 46) 26 falling falling trend -1.5 (-2.4, -0.7)
Chesterfield County No 889.8 (797.8, 989.5) 28 (4, 44) 71 falling falling trend -1.0 (-1.5, -0.4)
Berkeley County No 883.9 (833.2, 936.8) 29 (12, 41) 242 falling falling trend -1.8 (-2.1, -1.5)
Pickens County No 883.9 (826.3, 944.4) 30 (10, 42) 177 falling falling trend -0.9 (-1.2, -0.6)
Anderson County No 882.6 (838.4, 928.4) 31 (13, 40) 305 stable stable trend -0.9 (-1.8, 0.0)
Orangeburg County No 880.2 (816.5, 947.6) 32 (10, 42) 144 falling falling trend -0.9 (-1.2, -0.6)
Lexington County No 876.5 (837.2, 917.3) 33 (15, 40) 385 falling falling trend -1.4 (-1.7, -1.1)
Aiken County No 874.3 (828.0, 922.5) 34 (14, 41) 273 falling falling trend -1.2 (-2.1, -0.4)
Fairfield County No 872.4 (750.9, 1,007.7) 35 (4, 46) 39 falling falling trend -1.2 (-2.0, -0.4)
Dillon County No 870.8 (757.3, 996.7) 36 (3, 45) 43 falling falling trend -1.4 (-2.0, -0.7)
Florence County No 854.4 (799.7, 911.9) 37 (15, 44) 187 falling falling trend -1.3 (-1.6, -1.0)
Charleston County No 847.2 (814.4, 880.9) 38 (24, 42) 524 falling falling trend -2.3 (-3.0, -1.6)
Oconee County No 843.7 (781.4, 909.5) 39 (14, 44) 141 falling falling trend -1.2 (-1.7, -0.7)
Georgetown County No 825.0 (761.5, 892.4) 40 (16, 45) 131 falling falling trend -1.1 (-1.5, -0.6)
Greenville County No 809.7 (781.1, 839.1) 41 (33, 44) 620 falling falling trend -3.2 (-4.4, -1.9)
Clarendon County No 792.0 (703.3, 888.8) 42 (16, 46) 59 falling falling trend -1.2 (-1.9, -0.5)
Lancaster County No 775.0 (718.5, 834.8) 43 (32, 46) 145 falling falling trend -1.3 (-1.8, -0.8)
Edgefield County No 746.0 (640.2, 864.1) 44 (18, 46) 36 falling falling trend -1.9 (-2.8, -1.1)
Jasper County No 715.1 (610.1, 832.8) 45 (28, 46) 36 falling falling trend -3.7 (-5.6, -1.7)
Beaufort County No 686.8 (653.5, 721.4) 46 (43, 46) 327 falling falling trend -2.4 (-2.9, -1.9)
Notes:
Created by statecancerprofiles.cancer.gov on 05/22/2024 4:30 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.


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.

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.

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