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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 <50

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 Yes 17.0 (16.4, 17.7) N/A 518 falling falling trend -1.9 (-2.1, -1.7)
United States Yes 14.9 (14.8, 15.0) N/A 29,891 falling falling trend -1.7 (-1.9, -1.6)
Florence County Yes 18.2 (14.3, 22.7) 17 (4, 31) 15 falling falling trend -3.8 (-4.9, -2.6)
York County Yes 13.2 (11.0, 15.8) 31 (20, 33) 24 falling falling trend -2.8 (-3.7, -1.9)
Kershaw County Yes 16.7 (11.4, 23.6) 24 (3, 33) 6 falling falling trend -2.6 (-3.6, -1.7)
Charleston County Yes 13.7 (11.7, 15.9) 30 (20, 33) 34 falling falling trend -2.4 (-3.2, -1.6)
Clarendon County Yes 20.2 (11.9, 32.0) 12 (1, 33) 4 falling falling trend -2.4 (-4.1, -0.7)
Dorchester County Yes 12.2 (9.4, 15.6) 32 (20, 33) 13 falling falling trend -2.4 (-3.5, -1.4)
Beaufort County Yes 12.2 (9.2, 15.8) 33 (20, 33) 11 falling falling trend -2.3 (-3.6, -1.1)
Greenwood County Yes 17.2 (12.0, 23.9) 21 (3, 33) 7 falling falling trend -2.3 (-3.3, -1.3)
Greenville County Yes 16.4 (14.5, 18.5) 26 (12, 30) 53 falling falling trend -2.0 (-2.6, -1.4)
Richland County Yes 17.7 (15.4, 20.2) 20 (8, 29) 44 falling falling trend -2.0 (-2.6, -1.4)
Spartanburg County Yes 18.0 (15.4, 20.9) 18 (6, 29) 34 falling falling trend -1.9 (-2.5, -1.3)
Darlington County Yes 18.9 (13.2, 26.0) 15 (2, 33) 7 falling falling trend -1.8 (-2.9, -0.7)
Orangeburg County Yes 22.2 (16.4, 29.3) 7 (1, 29) 10 falling falling trend -1.8 (-2.6, -1.1)
Dillon County Yes 25.4 (15.9, 38.4) 2 (1, 32) 4 falling falling trend -1.7 (-3.2, -0.1)
Horry County Yes 18.0 (15.4, 20.9) 19 (7, 29) 34 falling falling trend -1.7 (-2.4, -0.9)
Oconee County Yes 16.5 (11.5, 22.9) 25 (4, 33) 7 falling falling trend -1.6 (-2.7, -0.6)
Marion County Yes 20.4 (11.9, 32.5) 11 (1, 33) 3 falling falling trend -1.5 (-2.9, -0.1)
Aiken County Yes 19.0 (15.3, 23.3) 14 (4, 30) 18 falling falling trend -1.4 (-2.4, -0.4)
Anderson County Yes 16.3 (13.2, 19.9) 27 (8, 32) 20 falling falling trend -1.3 (-2.0, -0.5)
Cherokee County Yes 23.1 (16.4, 31.5) 6 (1, 30) 8 stable stable trend -1.3 (-2.8, 0.3)
Chester County Yes 16.7 (9.7, 27.0) 22 (2, 33) 3 stable stable trend -1.3 (-3.4, 0.9)
Laurens County Yes 24.2 (17.8, 32.2) 4 (1, 27) 10 stable stable trend -1.3 (-2.7, 0.0)
Lexington County Yes 15.8 (13.4, 18.6) 28 (12, 32) 30 falling falling trend -1.3 (-2.1, -0.6)
Sumter County Yes 20.6 (15.7, 26.4) 10 (2, 29) 12 falling falling trend -1.3 (-2.4, -0.1)
Berkeley County Yes 16.7 (13.8, 20.0) 23 (8, 32) 24 falling falling trend -1.2 (-2.1, -0.3)
Georgetown County Yes 21.5 (14.9, 30.2) 8 (1, 32) 7 stable stable trend -1.2 (-2.6, 0.3)
Lancaster County Yes 15.1 (11.0, 20.2) 29 (8, 33) 9 stable stable trend -1.2 (-2.6, 0.2)
Colleton County Yes 23.4 (15.1, 34.6) 5 (1, 32) 5 stable stable trend -1.0 (-2.9, 0.8)
Chesterfield County Yes 19.6 (12.9, 28.4) 13 (1, 33) 6 stable stable trend -0.9 (-1.9, 0.2)
Marlboro County Yes 30.7 (19.8, 45.4) 1 (1, 26) 5 stable stable trend -0.9 (-2.5, 0.8)
Newberry County Yes 18.8 (11.4, 29.1) 16 (1, 33) 4 stable stable trend -0.9 (-2.5, 0.8)
Pickens County Yes 21.0 (16.3, 26.5) 9 (1, 28) 14 stable stable trend -0.6 (-1.8, 0.6)
Union County Yes 24.8 (15.3, 38.1) 3 (1, 33) 4 stable stable trend 1.2 (-0.8, 3.1)
Abbeville County ***
*
*
3 or fewer
*
*
Allendale County ***
*
*
3 or fewer
*
*
Bamberg County ***
*
*
3 or fewer
*
*
Barnwell County ***
*
*
3 or fewer
*
*
Calhoun County ***
*
*
3 or fewer
*
*
Edgefield County ***
*
*
3 or fewer
*
*
Fairfield County ***
*
*
3 or fewer
*
*
Hampton County ***
*
*
3 or fewer
*
*
Jasper County ***
*
*
3 or fewer
*
*
Lee County ***
*
*
3 or fewer
*
*
McCormick County ***
*
*
3 or fewer
*
*
Saluda County ***
*
*
3 or fewer
*
*
Williamsburg County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/06/2022 9:41 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 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


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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