Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for South Carolina by County

All Cancer Sites, 2013-2017

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
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 Yes 58.9 (57.9, 59.8) N/A 3,198 falling falling trend -1.6 (-1.6, -1.5)
United States Yes 50.4 (50.3, 50.5) N/A 175,590 falling falling trend -1.8 (-2.4, -1.3)
Lee County Yes 93.1 (74.1, 115.8) 1 (1, 22) 19 stable stable trend 0.2 (-1.4, 1.8)
Marlboro County Yes 86.5 (72.4, 102.9) 2 (1, 21) 28 stable stable trend -0.6 (-1.7, 0.6)
Chester County Yes 85.3 (72.7, 99.7) 3 (1, 20) 35 stable stable trend -0.4 (-1.1, 0.3)
Williamsburg County Yes 81.6 (68.7, 96.6) 4 (1, 26) 31 stable stable trend -0.6 (-1.5, 0.4)
Hampton County Yes 80.9 (64.8, 100.2) 5 (1, 35) 19 stable stable trend -0.7 (-2.0, 0.5)
Dillon County Yes 79.6 (66.3, 94.8) 6 (1, 29) 27 falling falling trend -1.2 (-2.2, -0.1)
Laurens County Yes 78.1 (69.2, 87.9) 7 (1, 22) 61 stable stable trend -0.8 (-1.7, 0.1)
Marion County Yes 74.3 (61.5, 89.2) 8 (1, 36) 27 falling falling trend -1.2 (-2.2, -0.3)
Orangeburg County Yes 73.3 (65.6, 81.7) 9 (2, 28) 73 falling falling trend -1.1 (-1.6, -0.7)
Clarendon County Yes 73.1 (61.0, 87.1) 10 (1, 37) 30 falling falling trend -1.2 (-1.9, -0.4)
Chesterfield County Yes 71.6 (61.5, 83.0) 11 (2, 36) 39 falling falling trend -1.2 (-1.8, -0.7)
Sumter County Yes 71.1 (64.2, 78.7) 12 (4, 30) 81 falling falling trend -1.0 (-1.6, -0.3)
Colleton County Yes 70.8 (60.1, 83.1) 13 (2, 37) 34 stable stable trend -1.1 (-2.1, 0.0)
Cherokee County Yes 70.4 (61.2, 80.6) 14 (3, 35) 44 falling falling trend -2.0 (-3.1, -0.8)
Fairfield County Yes 70.3 (56.8, 86.6) 15 (1, 43) 22 falling falling trend -1.6 (-2.6, -0.7)
Bamberg County Yes 69.8 (51.8, 92.6) 16 (1, 46) 12 falling falling trend -1.4 (-2.6, -0.1)
Darlington County Yes 69.3 (61.0, 78.6) 17 (4, 35) 54 falling falling trend -1.7 (-2.3, -1.0)
Union County Yes 67.9 (55.2, 82.9) 18 (2, 44) 22 falling falling trend -1.1 (-2.0, -0.1)
Allendale County Yes 67.7 (47.1, 95.4) 19 (1, 46) 8 falling falling trend -2.6 (-3.8, -1.3)
Newberry County Yes 66.5 (55.5, 79.1) 20 (3, 42) 29 falling falling trend -1.5 (-2.3, -0.6)
Kershaw County Yes 65.3 (57.1, 74.5) 21 (6, 38) 50 falling falling trend -1.6 (-2.2, -1.0)
Greenwood County Yes 65.0 (56.8, 74.2) 22 (6, 40) 48 falling falling trend -1.9 (-2.6, -1.2)
Lancaster County Yes 64.1 (56.9, 72.1) 23 (8, 39) 60 falling falling trend -1.2 (-2.0, -0.4)
Spartanburg County Yes 63.6 (59.7, 67.7) 24 (13, 34) 209 falling falling trend -1.4 (-1.8, -1.0)
Saluda County Yes 63.2 (49.5, 79.9) 25 (3, 46) 16 falling falling trend -1.5 (-2.5, -0.6)
Barnwell County Yes 63.1 (49.7, 79.4) 26 (3, 46) 16 falling falling trend -1.4 (-2.5, -0.2)
Horry County Yes 61.1 (57.3, 65.0) 27 (17, 37) 222 falling falling trend -1.2 (-1.5, -0.9)
Florence County Yes 60.9 (55.3, 66.9) 28 (14, 40) 93 falling falling trend -1.8 (-2.3, -1.2)
Calhoun County Yes 60.5 (44.6, 81.2) 29 (2, 46) 11 stable stable trend -1.5 (-3.4, 0.4)
Aiken County Yes 60.2 (55.0, 65.7) 30 (15, 40) 111 falling falling trend -1.4 (-2.0, -0.8)
Anderson County Yes 59.8 (55.2, 64.8) 31 (18, 40) 132 falling falling trend -0.8 (-1.4, -0.3)
Pickens County Yes 59.5 (53.4, 66.3) 32 (15, 42) 74 falling falling trend -0.7 (-1.3, -0.1)
Oconee County Yes 58.6 (51.4, 66.7) 33 (14, 45) 54 falling falling trend -0.9 (-1.5, -0.3)
Georgetown County Yes 57.9 (49.7, 67.2) 34 (12, 45) 43 falling falling trend -1.9 (-2.7, -1.1)
Richland County Yes 57.8 (54.5, 61.4) 35 (23, 40) 229 falling falling trend -2.0 (-2.4, -1.7)
Abbeville County Yes 57.6 (45.3, 72.6) 36 (7, 46) 17 falling falling trend -1.5 (-2.5, -0.5)
Berkeley County Yes 55.5 (51.0, 60.3) 37 (23, 44) 118 falling falling trend -1.7 (-2.1, -1.2)
Jasper County Yes 55.3 (44.2, 68.6) 38 (11, 46) 18 stable stable trend -1.4 (-2.9, 0.1)
York County Yes 52.5 (48.7, 56.5) 39 (30, 45) 146 falling falling trend -2.1 (-2.5, -1.7)
Lexington County Yes 51.5 (47.9, 55.2) 40 (33, 45) 164 falling falling trend -1.6 (-2.0, -1.1)
Dorchester County Yes 51.4 (46.6, 56.7) 41 (30, 46) 85 falling falling trend -2.0 (-2.5, -1.4)
McCormick County Yes 50.7 (34.0, 75.8) 42 (5, 46) 7 falling falling trend -3.6 (-5.0, -2.1)
Greenville County Yes 50.4 (47.7, 53.2) 43 (36, 45) 267 falling falling trend -1.8 (-2.1, -1.5)
Charleston County Yes 49.9 (46.8, 53.1) 44 (36, 46) 213 falling falling trend -2.1 (-2.5, -1.7)
Edgefield County Yes 49.0 (38.8, 61.5) 45 (20, 46) 17 falling falling trend -2.7 (-3.8, -1.5)
Beaufort County Yes 43.6 (39.2, 48.5) 46 (40, 46) 82 falling falling trend -1.7 (-2.3, -1.0)
Notes:
Created by statecancerprofiles.cancer.gov on 08/12/2020 11:53 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 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 1969-2017 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 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.

Return to Top