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Death Rates Table

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Death Rate Report for South Carolina by County

Colon & Rectum, 2012-2016

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 14.5?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 No 14.7 (14.2, 15.1) 838 falling falling trend -2.0 (-2.3, -1.8)
United States Yes 14.2 (14.1, 14.2) 51,932 falling falling trend -1.8 (-2.3, -1.3)
Lee County No 28.5 (19.3, 41.0) 6 stable stable trend 0.7 (-1.0, 2.5)
Marlboro County No 23.0 (16.2, 31.7) 8 stable stable trend -0.9 (-2.5, 0.6)
Darlington County No 22.9 (18.3, 28.2) 19 stable stable trend -0.3 (-1.7, 1.1)
Marion County No 22.5 (16.3, 30.5) 9 stable stable trend -1.5 (-3.4, 0.5)
Union County No 21.3 (15.0, 29.5) 8 stable stable trend -0.6 (-2.1, 1.0)
McCormick County No 21.3 (11.7, 37.6) 3
*
*
Hampton County No 21.1 (13.7, 31.4) 5
*
*
Orangeburg County No 20.9 (17.2, 25.2) 24 stable stable trend -0.9 (-1.8, 0.0)
Chester County No 20.5 (14.7, 28.0) 9 stable stable trend -1.7 (-3.5, 0.1)
Cherokee County No 20.0 (15.4, 25.5) 14 stable stable trend -1.2 (-2.4, 0.0)
Kershaw County No 19.9 (15.6, 25.2) 15 stable stable trend -0.9 (-2.3, 0.7)
Calhoun County No 19.9 (12.4, 31.0) 5
*
*
Laurens County No 19.3 (15.2, 24.2) 16 stable stable trend -0.8 (-2.2, 0.7)
Chesterfield County No 18.7 (13.8, 24.9) 10 stable stable trend -0.8 (-2.5, 1.0)
Fairfield County No 18.6 (12.4, 27.3) 6 stable stable trend -1.6 (-4.0, 0.9)
Saluda County No 18.3 (11.9, 27.3) 5 stable stable trend -1.1 (-2.8, 0.7)
Edgefield County No 18.2 (12.3, 26.4) 6 stable stable trend -2.0 (-4.2, 0.3)
Dillon County No 17.5 (11.8, 25.0) 6 stable stable trend -0.6 (-2.6, 1.4)
Clarendon County No 17.4 (12.1, 24.4) 8 stable stable trend -0.6 (-2.2, 1.1)
Newberry County No 17.3 (12.5, 23.5) 9 falling falling trend -1.8 (-3.3, -0.2)
Bamberg County No 17.1 (10.0, 27.9) 4
*
*
Lancaster County No 16.9 (13.5, 21.0) 18 stable stable trend -0.7 (-2.0, 0.6)
Anderson County No 16.0 (13.8, 18.5) 39 falling falling trend -4.4 (-6.0, -2.7)
Florence County No 16.0 (13.3, 19.1) 26 falling falling trend -1.2 (-2.1, -0.3)
Williamsburg County No 15.7 (10.7, 22.4) 7 stable stable trend -0.4 (-2.0, 1.3)
Colleton County No 15.5 (11.1, 21.4) 8 falling falling trend -2.0 (-3.6, -0.4)
Abbeville County No 15.4 (10.0, 23.0) 5 falling falling trend -2.3 (-4.3, -0.1)
Georgetown County No 15.3 (11.7, 19.7) 14 stable stable trend 0.9 (-2.6, 4.7)
Jasper County No 15.2 (9.3, 23.4) 4
*
*
Sumter County No 14.9 (12.0, 18.4) 18 falling falling trend -3.0 (-4.0, -2.0)
Dorchester County No 14.9 (12.1, 18.1) 21 falling falling trend -2.9 (-3.9, -1.9)
Oconee County No 14.7 (11.6, 18.5) 16 falling falling trend -2.3 (-3.6, -1.0)
Spartanburg County Yes 14.4 (12.6, 16.3) 50 falling falling trend -2.2 (-2.8, -1.6)
Horry County Yes 14.1 (12.5, 15.9) 59 falling falling trend -1.3 (-2.2, -0.5)
York County Yes 14.0 (12.0, 16.2) 37 falling falling trend -2.2 (-3.4, -1.1)
Richland County Yes 14.0 (12.3, 15.9) 50 falling falling trend -2.6 (-3.4, -1.9)
Greenwood County Yes 13.9 (10.5, 18.1) 12 stable stable trend -1.2 (-2.7, 0.2)
Barnwell County Yes 13.5 (8.2, 21.4) 4
*
*
Greenville County Yes 13.4 (12.0, 14.9) 71 falling falling trend -2.1 (-2.8, -1.4)
Pickens County Yes 13.1 (10.5, 16.2) 18 falling falling trend -2.4 (-3.7, -0.9)
Aiken County Yes 12.3 (10.2, 14.7) 25 falling falling trend -3.4 (-4.2, -2.5)
Charleston County Yes 11.9 (10.5, 13.5) 50 stable stable trend 6.1 (-8.8, 23.3)
Berkeley County Yes 11.7 (9.5, 14.2) 22 falling falling trend -3.3 (-4.5, -2.0)
Lexington County Yes 11.6 (9.9, 13.4) 36 falling falling trend -3.5 (-4.6, -2.4)
Beaufort County Yes 10.6 (8.8, 12.7) 28 falling falling trend -2.5 (-3.5, -1.5)
Allendale County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 01/22/2020 1:08 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 1969-2016 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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.

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