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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), Both Sexes, Ages <65

Sorted by Recentaapc
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 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 59.7 (58.7, 60.7) 3,201 falling falling trend -1.6 (-1.6, -1.5)
United States Yes 51.3 (51.2, 51.4) 177,172 falling falling trend -1.4 (-1.6, -1.3)
Lee County Yes 89.6 (71.4, 111.5) 18 stable stable trend 0.4 (-1.3, 2.1)
Chester County Yes 84.9 (72.4, 99.2) 35 stable stable trend -0.4 (-1.2, 0.4)
Marlboro County Yes 84.4 (70.6, 100.4) 28 stable stable trend -0.5 (-1.7, 0.7)
Williamsburg County Yes 84.8 (71.6, 100.1) 33 stable stable trend -0.5 (-1.6, 0.5)
Anderson County Yes 61.8 (57.1, 66.9) 135 falling falling trend -0.7 (-1.3, -0.2)
Pickens County Yes 58.1 (52.0, 64.7) 72 falling falling trend -0.7 (-1.4, -0.1)
Colleton County Yes 70.9 (60.1, 83.3) 33 stable stable trend -0.9 (-2.0, 0.1)
Hampton County Yes 73.9 (58.8, 92.2) 17 stable stable trend -0.9 (-2.2, 0.4)
Oconee County Yes 59.9 (52.7, 68.1) 55 falling falling trend -0.9 (-1.6, -0.3)
Sumter County Yes 70.7 (63.8, 78.2) 81 falling falling trend -0.9 (-1.7, -0.2)
Jasper County Yes 60.6 (48.7, 74.8) 19 stable stable trend -1.1 (-2.6, 0.4)
Laurens County Yes 72.5 (64.0, 82.0) 57 falling falling trend -1.1 (-2.0, -0.2)
Orangeburg County Yes 72.1 (64.5, 80.4) 73 falling falling trend -1.1 (-1.6, -0.7)
Chesterfield County Yes 71.4 (61.3, 82.9) 38 falling falling trend -1.2 (-1.8, -0.6)
Clarendon County Yes 68.2 (56.5, 81.8) 27 falling falling trend -1.2 (-2.0, -0.4)
Dillon County Yes 82.5 (69.1, 97.9) 29 falling falling trend -1.2 (-2.3, -0.1)
Horry County Yes 60.9 (57.1, 64.9) 214 falling falling trend -1.2 (-1.5, -0.8)
Lancaster County Yes 62.8 (55.6, 70.9) 57 falling falling trend -1.2 (-2.0, -0.3)
Marion County Yes 80.5 (67.2, 95.7) 30 falling falling trend -1.2 (-2.2, -0.1)
Barnwell County Yes 65.1 (51.4, 81.7) 17 falling falling trend -1.3 (-2.6, -0.1)
Newberry County Yes 70.8 (59.6, 83.8) 31 falling falling trend -1.3 (-2.2, -0.4)
Union County Yes 67.7 (55.3, 82.4) 23 falling falling trend -1.3 (-2.3, -0.3)
Abbeville County Yes 56.4 (44.3, 71.1) 17 falling falling trend -1.5 (-2.6, -0.4)
Aiken County Yes 59.3 (54.2, 64.8) 109 falling falling trend -1.5 (-2.1, -0.8)
Darlington County Yes 75.2 (66.4, 84.9) 58 falling falling trend -1.5 (-2.2, -0.8)
Kershaw County Yes 69.0 (60.5, 78.5) 52 falling falling trend -1.5 (-2.2, -0.9)
Spartanburg County Yes 63.5 (59.6, 67.6) 205 falling falling trend -1.5 (-1.9, -1.1)
Beaufort County Yes 45.6 (41.1, 50.5) 85 falling falling trend -1.6 (-2.4, -0.9)
Berkeley County Yes 57.3 (52.7, 62.2) 119 falling falling trend -1.6 (-2.1, -1.2)
Cherokee County Yes 73.3 (64.0, 83.8) 46 falling falling trend -1.6 (-2.7, -0.5)
Fairfield County Yes 71.3 (57.8, 87.5) 22 falling falling trend -1.6 (-2.6, -0.6)
Lexington County Yes 51.2 (47.7, 55.0) 161 falling falling trend -1.6 (-2.1, -1.1)
Florence County Yes 63.6 (57.9, 69.8) 98 falling falling trend -1.7 (-2.3, -1.1)
Saluda County Yes 63.0 (49.3, 79.8) 15 falling falling trend -1.7 (-2.7, -0.7)
Greenville County Yes 52.4 (49.6, 55.3) 272 falling falling trend -1.8 (-2.1, -1.4)
Bamberg County Yes 67.8 (50.3, 89.9) 12 falling falling trend -1.9 (-3.3, -0.5)
Dorchester County Yes 51.6 (46.6, 56.9) 83 falling falling trend -2.0 (-2.6, -1.4)
Georgetown County Yes 59.3 (51.1, 68.5) 44 falling falling trend -2.0 (-2.8, -1.1)
Greenwood County Yes 62.4 (54.3, 71.4) 45 falling falling trend -2.0 (-2.8, -1.3)
Calhoun County Yes 48.9 (35.4, 66.9) 10 falling falling trend -2.1 (-4.0, -0.1)
Charleston County Yes 51.6 (48.5, 54.9) 216 falling falling trend -2.1 (-2.5, -1.6)
Richland County Yes 58.7 (55.3, 62.3) 231 falling falling trend -2.1 (-2.5, -1.7)
York County Yes 54.2 (50.3, 58.4) 147 falling falling trend -2.1 (-2.5, -1.7)
Allendale County Yes 63.3 (43.9, 89.5) 7 falling falling trend -2.7 (-4.0, -1.4)
Edgefield County Yes 52.2 (41.5, 65.3) 17 falling falling trend -2.8 (-4.0, -1.5)
McCormick County Yes 52.9 (35.2, 79.0) 7 falling falling trend -3.3 (-4.8, -1.7)
Notes:
Created by statecancerprofiles.cancer.gov on 07/07/2020 5:59 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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