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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

South Carolina Counties versus United States

Colon & Rectum

All Races, Both Sexes

Sorted by name

Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling - 52,648 12.9 (12.8, 12.9) - -0.8 (-1.5, -0.4)
South Carolina - falling - 914 13.7 (13.3, 14.1) - -1.6 (-2.0, -0.2)
York County 8 falling similar 42 13.6 (11.8, 15.6) 1.1 -3.0 (-4.3, -1.5)
Williamsburg County 4 stable higher 10 20.1 (14.6, 27.3) 1.6 -1.3 (-3.7, 1.0)
Union County 8 falling similar 7 18.5 (12.8, 26.3) 1.4 -23.8 (-38.2, -2.1)
Sumter County 8 falling similar 20 15.1 (12.2, 18.5) 1.2 -2.1 (-3.2, -1.1)
Spartanburg County 8 falling similar 58 14.3 (12.7, 16.1) 1.1 -1.4 (-2.2, -0.6)
Saluda County 6 stable similar 5 17.6 (11.1, 27.0) 1.4 -0.1 (-2.7, 2.5)
Richland County 8 falling similar 61 14.4 (12.8, 16.1) 1.1 -1.6 (-2.7, -0.5)
Pickens County 6 stable similar 18 11.7 (9.4, 14.5) 0.9 -1.4 (-3.4, 0.7)
Orangeburg County 4 stable higher 22 18.8 (15.2, 22.9) 1.5 -0.7 (-2.0, 0.6)
Oconee County 8 falling similar 15 12.0 (9.2, 15.4) 0.9 -2.8 (-4.8, -0.8)
Newberry County 4 stable higher 11 23.8 (17.7, 31.3) 1.8 1.6 (-1.2, 12.4)
McCormick County
**
**
*
3 or fewer
*
*
**
Marlboro County 8 falling similar 6 17.1 (11.5, 24.8) 1.3 -3.1 (-5.3, -1.1)
Marion County 4 stable higher 8 19.4 (13.7, 27.0) 1.5 -0.7 (-3.4, 2.2)
Lexington County 6 stable similar 45 12.6 (11.0, 14.4) 1.0 0.2 (-1.7, 7.8)
Lee County 6 stable similar 4 15.5 (9.1, 25.1) 1.2 -0.9 (-4.7, 2.8)
Laurens County 4 stable higher 16 18.6 (14.6, 23.3) 1.4 -0.6 (-3.0, 1.8)
Lancaster County 6 stable similar 19 13.1 (10.5, 16.2) 1.0 -1.2 (-2.6, 0.3)
Kershaw County 8 falling similar 10 12.6 (9.3, 16.8) 1.0 -3.7 (-5.5, -2.1)
Jasper County 6 stable similar 6 14.6 (9.7, 21.4) 1.1 -2.7 (-5.6, 0.6)
Horry County 8 falling similar 79 13.9 (12.4, 15.5) 1.1 -2.0 (-2.7, -1.1)
Hampton County
**
** similar 5 21.1 (13.6, 31.6) 1.6
**
Greenwood County 6 stable similar 13 15.1 (11.4, 19.5) 1.2 -1.7 (-3.8, 0.2)
Greenville County 9 falling lower 68 10.7 (9.6, 12.0) 0.8 -2.9 (-4.0, -1.9)
Georgetown County 6 stable similar 15 12.6 (9.5, 16.4) 1.0 -1.3 (-3.5, 0.9)
Florence County 8 falling similar 24 13.4 (11.0, 16.1) 1.0 -2.9 (-4.1, -1.8)
Fairfield County 4 stable higher 7 22.7 (15.1, 33.2) 1.8 -0.4 (-4.5, 3.8)
Edgefield County 6 stable similar 5 12.4 (7.8, 19.3) 1.0 -2.5 (-5.4, 0.4)
Dorchester County 6 stable similar 25 13.8 (11.5, 16.6) 1.1 -0.6 (-1.9, 3.8)
Dillon County 6 stable similar 7 18.8 (13.0, 26.5) 1.5 -1.4 (-3.8, 1.0)
Darlington County 6 stable similar 14 16.5 (12.8, 21.1) 1.3 -1.0 (-3.3, 1.1)
Colleton County 6 stable similar 9 15.7 (11.2, 21.6) 1.2 -1.6 (-3.6, 0.5)
Clarendon County 4 stable higher 9 19.6 (13.9, 27.0) 1.5 -1.3 (-2.9, 0.4)
Chesterfield County 8 falling similar 10 17.9 (13.2, 23.8) 1.4 -26.0 (-47.2, -0.3)
Chester County 8 falling similar 7 14.8 (10.1, 21.3) 1.2 -3.0 (-5.6, -0.6)
Cherokee County 8 falling similar 11 16.6 (12.4, 21.8) 1.3 -1.7 (-3.5, -0.1)
Charleston County 9 falling lower 54 10.7 (9.5, 12.1) 0.8 -3.2 (-4.2, -2.2)
Calhoun County 4 stable higher 5 24.2 (15.3, 37.2) 1.9 -0.9 (-3.0, 1.4)
Berkeley County 6 stable similar 36 14.6 (12.5, 17.0) 1.1 -1.6 (-3.4, 0.6)
Beaufort County 8 falling similar 37 11.8 (10.0, 13.8) 0.9 -1.7 (-3.1, -0.2)
Barnwell County
**
** similar 5 18.9 (12.2, 28.1) 1.5
**
Bamberg County 6 stable similar 3 16.4 (9.2, 27.9) 1.3 -2.1 (-6.3, 1.8)
Anderson County 6 stable similar 40 14.7 (12.7, 17.0) 1.1 -0.7 (-2.6, 6.3)
Allendale County
**
**
*
3 or fewer
*
*
**
Aiken County 6 stable similar 32 13.3 (11.3, 15.7) 1.0 1.3 (-0.9, 9.7)
Abbeville County 6 stable similar 6 15.9 (10.3, 23.9) 1.2 -1.1 (-4.8, 2.6)
Notes:
Created by statecancerprofiles.cancer.gov on 03/17/2026 8:00 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Allendale County, McCormick County

Trend for the following could not be reliably determined due to small number of deaths per year:
Barnwell County, Hampton County

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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