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Death Rates Table

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Death Rate Report for South Carolina by County

Colon & Rectum, 2016-2020

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

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of 74.4?
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 ascending
South Carolina Yes 13.4 (13.0, 13.9) N/A 867 falling falling trend -2.5 (-2.8, -2.2)
United States Yes 13.1 (13.1, 13.2) N/A 52,152 falling falling trend -1.9 (-2.1, -1.8)
Lee County Yes 18.5 (11.2, 29.3) 7 (1, 44) 4 stable stable trend -0.1 (-1.8, 1.5)
Williamsburg County Yes 18.0 (13.0, 24.6) 12 (1, 42) 9 stable stable trend -0.4 (-1.7, 0.8)
Orangeburg County Yes 20.8 (17.0, 25.1) 4 (1, 20) 24 stable stable trend -0.6 (-1.4, 0.2)
Clarendon County Yes 18.2 (12.8, 25.3) 10 (1, 42) 9 stable stable trend -0.7 (-2.0, 0.6)
Chesterfield County Yes 20.1 (15.4, 26.0) 5 (1, 31) 13 stable stable trend -0.8 (-2.0, 0.5)
Union County Yes 21.5 (15.5, 29.3) 3 (1, 32) 9 stable stable trend -0.8 (-2.0, 0.4)
Laurens County Yes 16.6 (12.8, 21.2) 15 (2, 41) 14 stable stable trend -1.0 (-2.2, 0.1)
Darlington County Yes 16.6 (13.0, 21.0) 14 (3, 40) 15 stable stable trend -1.2 (-2.5, 0.1)
Dillon County Yes 15.7 (10.7, 22.5) 19 (1, 44) 6 stable stable trend -1.2 (-2.7, 0.4)
Lancaster County Yes 12.8 (10.1, 16.1) 35 (12, 44) 16 falling falling trend -1.3 (-2.4, -0.2)
Marion County Yes 20.0 (14.4, 27.2) 6 (1, 39) 9 stable stable trend -1.3 (-2.8, 0.3)
Marlboro County Yes 18.0 (12.0, 26.2) 11 (1, 44) 6 falling falling trend -1.4 (-2.7, -0.1)
Newberry County Yes 18.5 (13.4, 25.0) 8 (1, 41) 9 falling falling trend -1.4 (-2.6, -0.2)
Cherokee County Yes 16.3 (12.2, 21.4) 17 (2, 43) 11 falling falling trend -1.5 (-2.6, -0.3)
Saluda County Yes 16.4 (10.5, 24.8) 16 (1, 44) 5 falling falling trend -1.5 (-2.9, -0.1)
Florence County Yes 13.8 (11.4, 16.6) 28 (11, 43) 24 falling falling trend -1.6 (-2.4, -0.8)
Horry County Yes 13.7 (12.2, 15.3) 29 (15, 40) 72 falling falling trend -1.6 (-2.2, -1.0)
Abbeville County Yes 15.2 (9.8, 23.0) 22 (1, 44) 5 stable stable trend -1.7 (-3.5, 0.1)
Colleton County Yes 18.3 (13.3, 24.8) 9 (1, 42) 9 falling falling trend -1.7 (-2.9, -0.4)
Fairfield County Yes 15.7 (10.2, 23.8) 18 (1, 44) 5 stable stable trend -1.7 (-3.6, 0.3)
Greenwood County Yes 13.3 (10.1, 17.3) 32 (9, 44) 12 falling falling trend -1.7 (-2.8, -0.5)
Kershaw County Yes 12.6 (9.5, 16.6) 37 (10, 44) 11 falling falling trend -1.8 (-3.1, -0.4)
Pickens County Yes 14.1 (11.5, 17.2) 26 (10, 43) 21 falling falling trend -1.9 (-3.0, -0.8)
Chester County Yes 15.1 (10.5, 21.5) 23 (2, 44) 7 falling falling trend -2.1 (-3.5, -0.6)
Spartanburg County Yes 13.4 (11.8, 15.2) 31 (15, 41) 50 falling falling trend -2.1 (-2.6, -1.6)
Lexington County Yes 12.9 (11.2, 14.8) 33 (18, 43) 45 falling falling trend -2.2 (-3.0, -1.5)
Oconee County Yes 12.4 (9.7, 15.8) 39 (13, 44) 15 falling falling trend -2.2 (-3.3, -1.1)
Georgetown County Yes 11.9 (8.8, 15.9) 41 (11, 44) 12 falling falling trend -2.3 (-3.5, -1.0)
York County Yes 13.8 (12.0, 15.9) 27 (13, 41) 41 falling falling trend -2.4 (-3.2, -1.5)
Beaufort County Yes 10.0 (8.3, 12.0) 44 (32, 44) 30 falling falling trend -2.5 (-3.3, -1.7)
Berkeley County Yes 12.1 (10.1, 14.4) 40 (18, 44) 27 falling falling trend -2.5 (-3.6, -1.3)
Edgefield County Yes 12.8 (8.2, 19.5) 34 (5, 44) 5 falling falling trend -2.5 (-4.2, -0.7)
Greenville County Yes 10.9 (9.7, 12.2) 43 (32, 44) 66 falling falling trend -2.5 (-3.1, -1.9)
Richland County Yes 12.7 (11.1, 14.4) 36 (19, 43) 52 falling falling trend -2.5 (-3.1, -1.9)
Sumter County Yes 14.6 (11.8, 18.0) 24 (7, 43) 19 falling falling trend -2.5 (-3.5, -1.6)
Dorchester County Yes 13.6 (11.1, 16.4) 30 (11, 44) 23 falling falling trend -2.7 (-3.5, -1.9)
Aiken County Yes 12.5 (10.4, 14.8) 38 (16, 44) 29 falling falling trend -2.8 (-3.6, -2.0)
Charleston County Yes 11.8 (10.4, 13.3) 42 (25, 44) 57 falling falling trend -3.4 (-3.9, -2.9)
Anderson County Yes 14.6 (12.6, 16.8) 25 (10, 39) 39 falling falling trend -4.0 (-5.2, -2.8)
Bamberg County Yes 17.0 (10.3, 27.6) 13 (1, 44) 4
*
*
Barnwell County Yes 15.5 (9.8, 23.8) 20 (1, 44) 5
*
*
Calhoun County Yes 22.9 (14.3, 35.4) 2 (1, 43) 5
*
*
Hampton County Yes 22.9 (15.0, 33.7) 1 (1, 41) 6
*
*
Jasper County Yes 15.4 (10.2, 22.6) 21 (1, 44) 6
*
*
Allendale County ***
*
*
3 or fewer
*
*
McCormick County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 01/29/2023 4:41 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.
* 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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