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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2015-2019

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 descending
South Carolina *** 198.2 (195.8, 200.7) N/A 5,606 falling falling trend -2.1 (-2.3, -1.9)
United States *** 181.4 (181.1, 181.7) N/A 314,987 falling falling trend -2.3 (-2.6, -2.0)
Lee County *** 277.7 (232.9, 329.1) 1 (1, 25) 30 stable stable trend -0.7 (-1.4, 0.1)
Union County *** 271.5 (236.8, 310.4) 2 (1, 21) 47 falling falling trend -0.7 (-1.2, -0.1)
Marlboro County *** 259.2 (222.6, 300.3) 3 (1, 27) 40 falling falling trend -1.1 (-1.8, -0.3)
Williamsburg County *** 258.6 (225.4, 295.6) 4 (1, 25) 48 falling falling trend -1.1 (-1.8, -0.4)
Chester County *** 256.6 (224.8, 291.9) 5 (1, 24) 51 falling falling trend -0.9 (-1.3, -0.5)
Allendale County *** 254.3 (195.2, 326.4) 6 (1, 43) 14 falling falling trend -1.5 (-2.7, -0.4)
Laurens County *** 249.3 (227.5, 272.8) 7 (1, 21) 102 falling falling trend -0.8 (-1.5, -0.2)
Hampton County *** 248.7 (208.2, 295.0) 8 (1, 37) 29 stable stable trend -0.8 (-1.7, 0.0)
Colleton County *** 247.3 (219.3, 278.2) 9 (1, 26) 61 falling falling trend -0.9 (-1.6, -0.3)
Cherokee County *** 235.6 (211.2, 262.1) 10 (2, 30) 74 falling falling trend -2.2 (-3.0, -1.4)
Greenwood County *** 235.1 (214.3, 257.5) 11 (3, 28) 97 falling falling trend -1.5 (-2.0, -1.0)
Sumter County *** 234.2 (215.9, 253.6) 12 (3, 26) 128 falling falling trend -1.4 (-1.9, -0.8)
Dillon County *** 233.2 (199.9, 270.6) 13 (1, 40) 38 falling falling trend -1.8 (-2.5, -1.0)
Barnwell County *** 229.9 (192.8, 272.4) 14 (1, 43) 29 falling falling trend -1.2 (-2.0, -0.3)
Kershaw County *** 228.3 (206.4, 251.9) 15 (3, 33) 87 falling falling trend -1.7 (-2.1, -1.3)
Fairfield County *** 224.7 (190.0, 264.4) 16 (1, 42) 34 falling falling trend -1.2 (-2.0, -0.4)
Chesterfield County *** 224.6 (199.2, 252.5) 17 (3, 38) 62 falling falling trend -1.4 (-1.9, -0.8)
Newberry County *** 223.6 (196.3, 253.8) 18 (2, 40) 52 falling falling trend -1.3 (-1.9, -0.6)
Marion County *** 219.3 (187.9, 254.7) 19 (2, 43) 39 falling falling trend -1.7 (-2.5, -0.9)
Orangeburg County *** 217.3 (199.3, 236.6) 20 (7, 35) 115 falling falling trend -1.5 (-1.8, -1.1)
Darlington County *** 216.5 (195.3, 239.5) 21 (5, 38) 83 falling falling trend -1.7 (-2.1, -1.4)
Abbeville County *** 216.2 (185.4, 251.4) 22 (3, 43) 37 falling falling trend -1.3 (-2.2, -0.4)
Florence County *** 214.5 (198.8, 231.1) 23 (9, 34) 152 falling falling trend -1.8 (-2.2, -1.5)
Anderson County *** 212.7 (200.7, 225.4) 24 (12, 33) 247 falling falling trend -2.6 (-3.4, -1.7)
Bamberg County *** 208.8 (168.5, 256.9) 25 (2, 45) 20 falling falling trend -2.0 (-2.8, -1.2)
Spartanburg County *** 208.2 (198.1, 218.8) 26 (15, 34) 342 falling falling trend -1.5 (-1.8, -1.2)
Richland County *** 208.0 (197.9, 218.6) 27 (15, 33) 349 falling falling trend -1.6 (-1.9, -1.3)
Clarendon County *** 206.2 (180.6, 234.8) 28 (6, 43) 51 falling falling trend -1.8 (-2.5, -1.1)
Horry County *** 198.7 (190.1, 207.5) 29 (21, 38) 463 falling falling trend -1.5 (-1.8, -1.2)
Aiken County *** 197.8 (185.4, 210.9) 30 (18, 40) 202 stable stable trend -0.3 (-1.8, 1.3)
Georgetown County *** 194.1 (175.9, 214.1) 31 (17, 44) 95 falling falling trend -1.9 (-2.5, -1.3)
Berkeley County *** 193.9 (181.2, 207.3) 32 (20, 42) 194 falling falling trend -2.3 (-2.6, -1.9)
Oconee County *** 191.0 (174.3, 209.0) 33 (19, 44) 106 falling falling trend -1.5 (-2.0, -1.0)
Pickens County *** 190.9 (176.2, 206.6) 34 (21, 44) 131 falling falling trend -1.2 (-1.6, -0.7)
Calhoun County *** 189.8 (153.3, 233.7) 35 (6, 46) 20 falling falling trend -1.8 (-2.9, -0.7)
Charleston County *** 189.7 (181.2, 198.5) 36 (26, 42) 398 falling falling trend -2.1 (-2.4, -1.9)
Dorchester County *** 189.1 (174.3, 204.8) 37 (22, 44) 136 falling falling trend -2.2 (-2.6, -1.7)
York County *** 185.6 (174.4, 197.2) 38 (27, 44) 232 falling falling trend -3.2 (-4.1, -2.3)
Lexington County *** 185.2 (175.3, 195.6) 39 (28, 44) 281 falling falling trend -1.9 (-2.2, -1.6)
Saluda County *** 180.1 (148.9, 216.4) 40 (13, 46) 24 falling falling trend -2.2 (-3.1, -1.3)
Lancaster County *** 176.9 (161.7, 193.2) 41 (28, 45) 107 falling falling trend -2.1 (-2.8, -1.5)
Greenville County *** 175.7 (168.4, 183.3) 42 (35, 45) 458 falling falling trend -4.8 (-6.6, -3.0)
Jasper County *** 170.6 (142.8, 202.4) 43 (20, 46) 30 falling falling trend -1.7 (-2.8, -0.6)
Edgefield County *** 163.5 (137.0, 194.1) 44 (24, 46) 29 falling falling trend -2.6 (-3.5, -1.7)
McCormick County *** 155.3 (122.3, 198.8) 45 (21, 46) 16 falling falling trend -2.9 (-3.9, -1.8)
Beaufort County *** 148.2 (139.3, 157.7) 46 (43, 46) 227 falling falling trend -2.2 (-2.5, -1.8)
Notes:
Created by statecancerprofiles.cancer.gov on 12/09/2021 9:01 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 1969-2018 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.



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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