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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), Male, All Ages

Sorted by Recentaapc
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 descending
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 193.7 (191.4, 196.1) N/A 5,686 falling falling trend -2.1 (-2.3, -2.0)
United States No 177.5 (177.2, 177.8) N/A 315,770 falling falling trend -2.2 (-2.5, -2.0)
Lee County No 259.1 (216.2, 308.5) 3 (1, 32) 28 stable stable trend -12.5 (-23.8, 0.6)
Greenville County No 170.6 (163.5, 178.0) 41 (38, 45) 460 falling falling trend -4.3 (-5.4, -3.1)
McCormick County No 159.4 (126.6, 202.9) 45 (17, 46) 18 falling falling trend -2.8 (-3.8, -1.8)
Cherokee County No 223.7 (200.3, 249.2) 14 (3, 35) 72 falling falling trend -2.6 (-3.4, -1.7)
Edgefield County No 163.4 (137.4, 193.3) 44 (24, 46) 30 falling falling trend -2.6 (-3.4, -1.8)
Anderson County No 202.5 (190.8, 214.7) 27 (15, 38) 241 falling falling trend -2.5 (-3.3, -1.7)
Beaufort County No 141.9 (133.3, 150.9) 46 (43, 46) 228 falling falling trend -2.3 (-2.6, -1.9)
Berkeley County No 189.4 (177.2, 202.2) 36 (20, 42) 198 falling falling trend -2.3 (-2.6, -2.0)
Charleston County No 183.7 (175.5, 192.2) 40 (29, 43) 401 falling falling trend -2.2 (-2.4, -1.9)
Lancaster County No 168.3 (153.9, 183.8) 42 (33, 45) 106 falling falling trend -2.2 (-2.8, -1.6)
Dorchester County No 191.2 (176.8, 206.4) 35 (18, 43) 145 falling falling trend -2.1 (-2.5, -1.6)
Saluda County No 192.0 (160.5, 228.4) 32 (7, 45) 27 falling falling trend -2.0 (-2.8, -1.1)
Florence County No 208.5 (193.2, 224.7) 24 (9, 38) 151 falling falling trend -1.9 (-2.2, -1.5)
Lexington County No 187.9 (178.1, 198.0) 38 (24, 42) 297 falling falling trend -1.9 (-2.2, -1.6)
York County No 187.1 (176.2, 198.5) 39 (23, 42) 246 falling falling trend -1.9 (-2.3, -1.6)
Darlington County No 207.5 (187.1, 229.6) 25 (8, 41) 82 falling falling trend -1.8 (-2.2, -1.5)
Dillon County No 235.8 (202.7, 272.9) 8 (1, 38) 39 falling falling trend -1.8 (-2.5, -1.1)
Georgetown County No 188.4 (170.6, 207.8) 37 (17, 44) 96 falling falling trend -1.8 (-2.4, -1.2)
Jasper County No 166.2 (139.3, 197.0) 43 (20, 46) 30 falling falling trend -1.8 (-2.8, -0.8)
Kershaw County No 214.1 (193.7, 236.3) 19 (6, 38) 87 falling falling trend -1.8 (-2.2, -1.4)
Richland County No 201.8 (192.0, 212.0) 28 (16, 37) 349 falling falling trend -1.7 (-2.0, -1.4)
Bamberg County No 211.2 (171.0, 259.1) 20 (1, 45) 21 falling falling trend -1.6 (-2.5, -0.8)
Calhoun County No 191.5 (154.4, 236.1) 33 (5, 46) 20 falling falling trend -1.6 (-2.7, -0.6)
Clarendon County No 208.7 (183.3, 237.2) 23 (5, 42) 52 falling falling trend -1.6 (-2.2, -0.9)
Greenwood County No 221.6 (201.6, 243.1) 16 (4, 34) 94 falling falling trend -1.6 (-2.1, -1.1)
Horry County No 192.0 (183.9, 200.4) 31 (22, 41) 481 falling falling trend -1.6 (-1.9, -1.3)
Marion County No 221.8 (190.4, 257.2) 15 (2, 42) 40 falling falling trend -1.6 (-2.4, -0.8)
Orangeburg County No 210.1 (192.4, 229.1) 21 (7, 39) 112 falling falling trend -1.5 (-1.9, -1.2)
Spartanburg County No 206.2 (196.3, 216.4) 26 (13, 34) 351 falling falling trend -1.5 (-1.8, -1.3)
Abbeville County No 209.3 (178.9, 243.9) 22 (4, 43) 36 falling falling trend -1.4 (-2.3, -0.5)
Aiken County No 193.3 (181.3, 206.0) 30 (18, 42) 205 falling falling trend -1.4 (-2.2, -0.5)
Chesterfield County No 216.8 (192.2, 243.9) 18 (4, 40) 61 falling falling trend -1.4 (-1.9, -0.9)
Oconee County No 191.3 (174.8, 209.2) 34 (17, 44) 108 falling falling trend -1.4 (-1.9, -0.9)
Allendale County No 273.7 (211.7, 349.0) 2 (1, 40) 15 falling falling trend -1.3 (-2.3, -0.2)
Newberry County No 216.9 (190.6, 246.0) 17 (3, 40) 53 falling falling trend -1.3 (-1.9, -0.7)
Sumter County No 231.3 (213.3, 250.4) 12 (3, 26) 129 falling falling trend -1.3 (-1.8, -0.8)
Barnwell County No 234.2 (197.4, 276.4) 10 (1, 40) 31 falling falling trend -1.2 (-2.0, -0.4)
Fairfield County No 225.3 (190.9, 264.7) 13 (1, 41) 35 falling falling trend -1.2 (-2.0, -0.4)
Marlboro County No 237.5 (202.5, 276.9) 7 (1, 37) 36 falling falling trend -1.2 (-1.9, -0.4)
Pickens County No 198.6 (183.8, 214.4) 29 (14, 41) 139 falling falling trend -1.1 (-1.5, -0.6)
Chester County No 257.1 (225.3, 292.4) 5 (1, 22) 51 falling falling trend -1.0 (-1.4, -0.6)
Colleton County No 247.5 (219.8, 278.0) 6 (1, 25) 63 falling falling trend -1.0 (-1.6, -0.4)
Williamsburg County No 258.0 (225.4, 294.2) 4 (1, 21) 50 falling falling trend -1.0 (-1.7, -0.4)
Hampton County No 235.4 (196.6, 280.0) 9 (1, 40) 28 falling falling trend -0.9 (-1.8, -0.1)
Laurens County No 232.9 (212.0, 255.5) 11 (3, 27) 97 falling falling trend -0.9 (-1.5, -0.3)
Union County No 278.1 (242.9, 317.3) 1 (1, 15) 49 falling falling trend -0.6 (-1.1, -0.1)
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 9:50 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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