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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2015-2019

White (includes Hispanic), Both Sexes, All Ages

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of ***?
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 *** 156.9 (155.3, 158.5) N/A 7,638 falling falling trend -1.4 (-1.6, -1.3)
United States *** 153.4 (153.2, 153.6) N/A 505,697 falling falling trend -2.0 (-2.2, -1.7)
Abbeville County *** 176.7 (154.2, 202.0) 16 (2, 40) 48 stable stable trend -0.2 (-1.0, 0.5)
Aiken County *** 162.3 (153.9, 171.0) 26 (15, 37) 302 stable stable trend -0.7 (-1.5, 0.2)
Allendale County *** 239.1 (173.5, 329.9) 1 (1, 42) 10 stable stable trend -0.8 (-2.5, 1.0)
Anderson County *** 163.9 (156.4, 171.7) 25 (15, 35) 373 falling falling trend -1.4 (-2.4, -0.3)
Bamberg County *** 171.4 (135.8, 216.1) 20 (1, 46) 18 falling falling trend -1.1 (-2.1, -0.1)
Barnwell County *** 189.6 (161.2, 222.3) 8 (1, 39) 34 stable stable trend -0.3 (-0.8, 0.3)
Beaufort County *** 117.3 (111.3, 123.7) 46 (44, 46) 331 falling falling trend -2.0 (-2.3, -1.6)
Berkeley County *** 164.6 (155.5, 174.1) 24 (12, 37) 265 falling falling trend -1.6 (-1.9, -1.3)
Calhoun County *** 143.6 (116.7, 176.5) 40 (8, 46) 21 stable stable trend -0.3 (-1.6, 0.9)
Charleston County *** 141.6 (135.9, 147.5) 42 (35, 45) 488 falling falling trend -2.5 (-3.2, -1.7)
Cherokee County *** 187.4 (171.7, 204.2) 9 (2, 27) 110 falling falling trend -1.3 (-2.1, -0.4)
Chester County *** 190.2 (168.5, 214.2) 7 (1, 32) 58 stable stable trend -0.4 (-1.0, 0.2)
Chesterfield County *** 181.4 (163.4, 200.9) 10 (2, 34) 79 falling falling trend -0.7 (-1.2, -0.1)
Clarendon County *** 150.4 (130.1, 173.6) 36 (10, 45) 46 falling falling trend -7.2 (-12.9, -1.1)
Colleton County *** 190.9 (170.1, 213.9) 6 (1, 30) 65 stable stable trend -0.1 (-0.6, 0.5)
Darlington County *** 179.6 (164.2, 196.3) 13 (3, 32) 105 falling falling trend -0.9 (-1.3, -0.6)
Dillon County *** 180.7 (155.5, 209.3) 12 (1, 40) 39 falling falling trend -0.8 (-1.5, -0.1)
Dorchester County *** 159.2 (149.2, 169.7) 28 (15, 41) 199 falling falling trend -1.4 (-1.8, -1.0)
Edgefield County *** 133.5 (113.6, 156.6) 45 (21, 46) 34 falling falling trend -2.3 (-3.2, -1.4)
Fairfield County *** 156.6 (128.7, 190.3) 31 (3, 46) 26 stable stable trend -0.9 (-1.9, 0.0)
Florence County *** 161.0 (150.2, 172.4) 27 (13, 40) 173 falling falling trend -1.1 (-1.5, -0.7)
Georgetown County *** 147.5 (135.3, 160.7) 37 (22, 45) 127 stable stable trend -4.2 (-8.4, 0.1)
Greenville County *** 144.4 (139.6, 149.2) 39 (33, 45) 718 falling falling trend -1.2 (-1.4, -1.0)
Greenwood County *** 177.0 (163.1, 192.1) 15 (4, 33) 126 falling falling trend -1.1 (-1.4, -0.7)
Hampton County *** 213.6 (179.0, 253.9) 2 (1, 27) 28 stable stable trend 0.8 (0.0, 1.6)
Horry County *** 166.9 (161.3, 172.7) 22 (14, 31) 766 falling falling trend -0.9 (-1.2, -0.7)
Jasper County *** 140.1 (118.0, 165.5) 43 (15, 46) 32 falling falling trend -2.9 (-4.5, -1.3)
Kershaw County *** 174.9 (160.7, 190.2) 17 (4, 35) 116 falling falling trend -0.9 (-1.3, -0.4)
Lancaster County *** 139.9 (129.9, 150.6) 44 (31, 45) 154 falling falling trend -1.3 (-1.7, -0.8)
Laurens County *** 194.4 (179.8, 210.1) 5 (1, 18) 136 stable stable trend 0.1 (-0.4, 0.5)
Lee County *** 203.3 (165.6, 249.2) 4 (1, 39) 21 stable stable trend 0.5 (-0.8, 1.9)
Lexington County *** 154.5 (148.2, 161.0) 34 (23, 40) 470 falling falling trend -1.3 (-1.6, -1.0)
Marion County *** 165.2 (141.0, 193.1) 23 (3, 45) 37 falling falling trend -0.8 (-1.6, -0.1)
Marlboro County *** 212.4 (182.1, 247.1) 3 (1, 21) 37 stable stable trend -0.1 (-0.8, 0.6)
McCormick County *** 146.2 (113.7, 193.9) 38 (3, 46) 21 falling falling trend -2.2 (-3.4, -1.0)
Newberry County *** 158.5 (141.0, 177.9) 30 (9, 45) 64 falling falling trend -1.0 (-1.6, -0.3)
Oconee County *** 158.5 (147.8, 169.9) 29 (15, 41) 179 falling falling trend -1.1 (-1.5, -0.7)
Orangeburg County *** 174.3 (157.9, 192.3) 19 (4, 37) 93 falling falling trend -0.6 (-1.0, -0.1)
Pickens County *** 156.3 (147.1, 166.1) 32 (18, 41) 221 falling falling trend -0.8 (-1.1, -0.5)
Richland County *** 153.1 (145.8, 160.7) 35 (23, 42) 340 falling falling trend -1.2 (-1.4, -0.9)
Saluda County *** 142.8 (121.5, 167.3) 41 (14, 46) 33 falling falling trend -1.7 (-2.4, -1.0)
Spartanburg County *** 169.4 (162.8, 176.2) 21 (12, 30) 513 falling falling trend -0.9 (-1.1, -0.7)
Sumter County *** 179.4 (165.3, 194.4) 14 (4, 30) 123 falling falling trend -0.5 (-0.9, -0.1)
Union County *** 180.7 (159.3, 204.7) 11 (2, 37) 54 stable stable trend -0.6 (-1.2, 0.0)
Williamsburg County *** 174.7 (146.6, 207.6) 18 (2, 44) 31 stable stable trend 0.0 (-1.0, 1.0)
York County *** 156.2 (149.0, 163.6) 33 (21, 40) 372 falling falling trend -2.6 (-3.6, -1.7)
Notes:
Created by statecancerprofiles.cancer.gov on 12/05/2021 6:03 pm.

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 2020 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 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.

Interpret Rankings provides insight into interpreting cancer incidence 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 cases) has a dramatic effect on the calculated rate.

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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