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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

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
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 141.4 (139.5, 143.3) 4,526 falling falling trend -1.1 (-1.3, -0.9)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Union County No 175.6 (151.0, 203.5) 39 stable stable trend 0.0 (-0.8, 0.7)
Lee County No 172.8 (140.7, 210.8) 22 stable stable trend 0.9 (-0.4, 2.3)
Williamsburg County No 171.6 (147.9, 198.2) 42 stable stable trend 0.6 (-0.4, 1.6)
Marlboro County No 171.3 (145.3, 201.2) 32 stable stable trend 0.4 (-0.8, 1.6)
Colleton County No 169.1 (147.7, 193.1) 47 stable stable trend 0.0 (-0.8, 0.8)
Barnwell County No 168.9 (140.5, 201.9) 26 stable stable trend -0.2 (-1.3, 0.9)
Chester County No 168.3 (145.2, 194.3) 40 stable stable trend -0.4 (-1.3, 0.5)
Allendale County No 165.9 (122.9, 220.8) 11 stable stable trend -1.4 (-2.9, 0.1)
Kershaw County No 163.7 (147.0, 181.9) 73 stable stable trend -0.5 (-1.2, 0.2)
McCormick County No 162.9 (122.2, 216.9) 14 stable stable trend -1.6 (-3.1, 0.0)
Dillon County No 161.5 (137.3, 189.0) 33 stable stable trend -0.7 (-1.8, 0.4)
Hampton County Yes 159.1 (130.2, 193.3) 22 stable stable trend -0.7 (-1.9, 0.5)
Darlington County Yes 158.2 (142.5, 175.4) 78 falling falling trend -0.5 (-1.0, -0.1)
Newberry County Yes 154.9 (134.3, 178.1) 43 stable stable trend -0.4 (-0.9, 0.2)
Abbeville County Yes 154.0 (129.6, 182.4) 30 stable stable trend -0.2 (-1.2, 0.8)
Richland County Yes 153.4 (145.9, 161.3) 322 stable stable trend -3.6 (-8.4, 1.4)
Laurens County Yes 153.0 (137.1, 170.3) 73 stable stable trend -0.3 (-0.8, 0.3)
Chesterfield County Yes 152.8 (133.6, 174.1) 48 stable stable trend -0.5 (-1.3, 0.3)
Orangeburg County Yes 150.8 (137.2, 165.4) 98 falling falling trend -0.6 (-1.2, -0.1)
York County Yes 149.9 (140.9, 159.4) 213 falling falling trend -0.6 (-1.1, -0.2)
Fairfield County Yes 149.9 (124.7, 179.3) 27 falling falling trend -1.5 (-2.7, -0.3)
Marion County Yes 147.0 (125.3, 171.8) 36 stable stable trend -0.8 (-1.5, 0.0)
Aiken County Yes 146.4 (136.5, 156.9) 171 falling falling trend -0.8 (-1.3, -0.2)
Horry County Yes 146.1 (138.8, 153.7) 329 falling falling trend -0.6 (-1.0, -0.2)
Jasper County Yes 145.9 (119.6, 176.5) 24 stable stable trend -0.3 (-1.5, 0.9)
Spartanburg County Yes 145.5 (137.8, 153.5) 277 falling falling trend -0.8 (-1.2, -0.4)
Cherokee County Yes 144.9 (127.9, 163.7) 54 stable stable trend -0.4 (-1.4, 0.6)
Oconee County Yes 142.9 (129.2, 157.9) 86 falling falling trend -1.1 (-1.9, -0.3)
Sumter County Yes 142.1 (129.7, 155.4) 100 falling falling trend -0.7 (-1.4, -0.1)
Florence County Yes 141.8 (130.9, 153.4) 130 falling falling trend -0.9 (-1.4, -0.4)
Berkeley County Yes 141.0 (130.6, 152.1) 144 falling falling trend -1.4 (-1.8, -1.0)
Dorchester County Yes 140.0 (128.2, 152.5) 110 falling falling trend -1.2 (-1.9, -0.4)
Clarendon County Yes 137.5 (117.1, 160.9) 36 falling falling trend -1.4 (-2.3, -0.5)
Georgetown County Yes 137.2 (122.8, 153.2) 74 stable stable trend -0.5 (-1.0, 0.1)
Bamberg County Yes 136.0 (106.3, 172.6) 16 stable stable trend -0.5 (-1.9, 1.0)
Greenwood County Yes 136.0 (121.5, 151.8) 68 falling falling trend -1.2 (-1.8, -0.6)
Saluda County Yes 134.9 (109.6, 165.0) 21 stable stable trend -0.6 (-1.7, 0.5)
Edgefield County Yes 134.8 (111.6, 162.0) 25 stable stable trend -1.2 (-2.4, 0.0)
Lancaster County Yes 134.6 (121.5, 149.0) 82 falling falling trend -0.8 (-1.3, -0.3)
Anderson County Yes 134.0 (125.3, 143.2) 182 stable stable trend 2.6 (-6.2, 12.3)
Greenville County Yes 133.8 (127.9, 139.9) 403 falling falling trend -0.8 (-1.2, -0.4)
Charleston County Yes 132.7 (126.1, 139.5) 321 falling falling trend -1.0 (-1.4, -0.7)
Pickens County Yes 132.7 (121.1, 145.1) 101 falling falling trend -1.0 (-1.5, -0.5)
Lexington County Yes 129.4 (121.7, 137.4) 222 falling falling trend -1.1 (-1.6, -0.6)
Calhoun County Yes 123.7 (96.8, 157.1) 15 stable stable trend 0.0 (-1.7, 1.8)
Beaufort County Yes 115.5 (107.3, 124.2) 168 falling falling trend -1.9 (-2.4, -1.4)
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 5:11 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 1969-2016 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.


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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