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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 Name
County
 sort alphabetically by name descending
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 Yes 55.0 (54.1, 55.9) N/A 3,112 falling falling trend -1.6 (-1.7, -1.6)
United States Yes 47.3 (47.2, 47.4) N/A 168,038 falling falling trend -2.3 (-2.6, -2.0)
Abbeville County Yes 59.0 (46.3, 74.4) 27 (4, 45) 17 falling falling trend -1.2 (-2.0, -0.4)
Aiken County Yes 54.8 (50.0, 60.0) 33 (20, 41) 106 falling falling trend -1.4 (-1.9, -0.9)
Allendale County Yes 82.8 (58.0, 115.8) 2 (1, 44) 8 falling falling trend -2.0 (-3.1, -0.9)
Anderson County Yes 57.3 (52.8, 62.1) 29 (17, 39) 131 falling falling trend -2.4 (-3.8, -1.0)
Bamberg County Yes 69.1 (51.1, 92.1) 15 (1, 45) 12 falling falling trend -1.2 (-2.2, -0.2)
Barnwell County Yes 73.0 (58.1, 90.9) 9 (1, 37) 19 falling falling trend -1.1 (-2.1, -0.2)
Beaufort County Yes 39.4 (35.4, 43.8) 46 (42, 46) 82 falling falling trend -1.9 (-2.4, -1.4)
Berkeley County Yes 53.2 (49.0, 57.7) 35 (23, 42) 124 falling falling trend -1.5 (-1.9, -1.1)
Calhoun County Yes 56.5 (41.0, 76.9) 30 (2, 46) 10 stable stable trend -1.4 (-2.9, 0.2)
Charleston County Yes 46.6 (43.7, 49.6) 43 (36, 45) 212 falling falling trend -2.3 (-2.6, -1.9)
Cherokee County Yes 64.7 (55.7, 74.7) 19 (4, 37) 41 falling falling trend -1.9 (-2.7, -1.0)
Chester County Yes 78.2 (66.0, 92.3) 3 (1, 24) 31 stable stable trend -0.6 (-1.2, 0.0)
Chesterfield County Yes 71.4 (61.4, 82.8) 12 (1, 31) 39 falling falling trend -1.1 (-1.5, -0.6)
Clarendon County Yes 71.6 (59.6, 85.7) 11 (1, 35) 29 falling falling trend -1.0 (-1.7, -0.4)
Colleton County Yes 73.2 (61.8, 86.4) 8 (1, 31) 33 falling falling trend -1.0 (-1.8, -0.2)
Darlington County Yes 62.7 (54.7, 71.7) 21 (6, 39) 48 falling falling trend -1.8 (-2.4, -1.2)
Dillon County Yes 76.8 (63.4, 92.4) 5 (1, 30) 25 falling falling trend -1.1 (-2.0, -0.2)
Dorchester County Yes 45.1 (40.7, 49.8) 45 (35, 46) 81 falling falling trend -2.2 (-2.7, -1.6)
Edgefield County Yes 47.6 (37.0, 60.6) 42 (16, 46) 16 falling falling trend -2.7 (-3.6, -1.7)
Fairfield County Yes 70.9 (56.8, 88.1) 13 (1, 38) 21 falling falling trend -1.3 (-2.1, -0.5)
Florence County Yes 60.5 (54.9, 66.6) 24 (12, 37) 92 falling falling trend -1.7 (-2.1, -1.2)
Georgetown County Yes 57.4 (49.2, 66.8) 28 (10, 44) 43 falling falling trend -1.8 (-2.5, -1.1)
Greenville County Yes 48.2 (45.5, 50.9) 41 (34, 45) 265 falling falling trend -1.9 (-2.2, -1.6)
Greenwood County Yes 62.1 (54.3, 70.9) 22 (6, 38) 48 falling falling trend -1.8 (-2.4, -1.2)
Hampton County Yes 85.9 (68.8, 106.4) 1 (1, 26) 19 stable stable trend -0.6 (-1.6, 0.4)
Horry County Yes 55.2 (51.8, 58.8) 32 (22, 39) 229 falling falling trend -1.3 (-1.6, -1.1)
Jasper County Yes 48.6 (38.2, 61.1) 39 (16, 46) 17 falling falling trend -1.4 (-2.6, -0.2)
Kershaw County Yes 60.8 (53.0, 69.6) 23 (8, 40) 47 falling falling trend -1.5 (-2.0, -1.0)
Lancaster County Yes 51.8 (45.6, 58.6) 37 (21, 45) 54 falling falling trend -1.5 (-2.2, -0.8)
Laurens County Yes 71.7 (63.2, 81.2) 10 (2, 27) 56 falling falling trend -0.8 (-1.6, -0.1)
Lee County Yes 74.2 (57.1, 95.3) 7 (1, 40) 15 stable stable trend -0.6 (-2.1, 0.9)
Lexington County Yes 50.4 (46.9, 54.1) 38 (30, 44) 168 falling falling trend -1.5 (-1.9, -1.1)
Marion County Yes 67.1 (54.9, 81.5) 16 (2, 40) 24 falling falling trend -1.2 (-2.0, -0.4)
Marlboro County Yes 77.7 (63.6, 94.3) 4 (1, 30) 23 stable stable trend -0.8 (-1.7, 0.1)
McCormick County Yes 52.8 (35.6, 79.1) 36 (2, 46) 7 falling falling trend -2.9 (-4.2, -1.6)
Newberry County Yes 66.4 (55.5, 79.1) 17 (2, 38) 29 falling falling trend -1.3 (-2.0, -0.5)
Oconee County Yes 55.6 (48.5, 63.5) 31 (16, 44) 52 falling falling trend -1.1 (-1.5, -0.6)
Orangeburg County Yes 70.6 (62.8, 79.2) 14 (2, 28) 68 falling falling trend -1.1 (-1.5, -0.7)
Pickens County Yes 59.4 (53.3, 66.1) 26 (12, 38) 75 falling falling trend -0.8 (-1.3, -0.2)
Richland County Yes 53.5 (50.3, 56.9) 34 (25, 40) 217 falling falling trend -2.0 (-2.4, -1.7)
Saluda County Yes 48.2 (36.8, 62.7) 40 (15, 46) 13 falling falling trend -1.9 (-2.8, -1.0)
Spartanburg County Yes 60.0 (56.3, 63.9) 25 (15, 34) 205 falling falling trend -1.5 (-1.8, -1.1)
Sumter County Yes 64.9 (58.1, 72.3) 18 (6, 34) 72 falling falling trend -1.1 (-1.7, -0.5)
Union County Yes 76.3 (63.0, 91.8) 6 (1, 31) 26 falling falling trend -1.1 (-1.9, -0.3)
Williamsburg County Yes 64.3 (52.7, 78.1) 20 (2, 42) 24 stable stable trend -0.8 (-1.7, 0.1)
York County Yes 45.2 (41.8, 48.8) 44 (36, 46) 138 falling falling trend -2.4 (-2.8, -2.0)
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 10:03 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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