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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2016-2020

Black Non-Hispanic, Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
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 No 179.0 (175.8, 182.2) N/A 2,600 falling falling trend -1.9 (-2.1, -1.7)
United States No 174.7 (174.1, 175.3) N/A 70,283 falling falling trend -2.1 (-2.1, -2.0)
Newberry County No 255.6 (217.2, 299.0) 1 (1, 14) 34 stable stable trend -0.5 (-1.2, 0.2)
Union County No 223.0 (183.0, 269.5) 2 (1, 39) 24 stable stable trend -0.6 (-1.4, 0.2)
Colleton County No 222.4 (192.6, 256.0) 3 (1, 26) 43 falling falling trend -0.9 (-1.5, -0.2)
Calhoun County No 217.1 (173.7, 269.3) 4 (1, 42) 19 stable stable trend -0.7 (-1.8, 0.4)
Chester County No 209.1 (176.2, 246.7) 5 (1, 40) 31 falling falling trend -1.3 (-1.9, -0.7)
Laurens County No 208.7 (180.6, 240.0) 6 (1, 37) 43 falling falling trend -1.5 (-2.1, -0.9)
Marlboro County No 203.9 (172.7, 239.4) 7 (1, 41) 32 stable stable trend -0.8 (-1.6, 0.0)
Pickens County No 202.7 (158.9, 254.4) 8 (1, 45) 16 falling falling trend -2.2 (-3.4, -1.0)
Lancaster County No 196.9 (169.5, 227.4) 9 (2, 42) 40 falling falling trend -1.2 (-2.0, -0.4)
Williamsburg County No 195.6 (172.3, 221.4) 10 (2, 40) 55 falling falling trend -0.9 (-1.5, -0.3)
Lee County No 194.4 (160.8, 233.1) 11 (1, 44) 26 stable stable trend -0.7 (-1.9, 0.4)
Kershaw County No 192.4 (165.7, 222.4) 12 (2, 43) 40 falling falling trend -1.6 (-2.1, -1.1)
Abbeville County No 192.1 (153.4, 238.5) 13 (1, 46) 18 falling falling trend -1.5 (-2.5, -0.6)
Barnwell County No 191.7 (156.1, 233.5) 14 (1, 45) 22 stable stable trend -0.6 (-1.4, 0.2)
Richland County No 190.1 (180.4, 200.2) 15 (7, 29) 325 falling falling trend -1.8 (-2.0, -1.5)
Fairfield County No 188.5 (159.3, 221.9) 16 (2, 44) 32 falling falling trend -1.5 (-2.3, -0.8)
Sumter County No 186.7 (171.1, 203.4) 17 (5, 38) 111 falling falling trend -1.3 (-1.9, -0.8)
Dillon County No 186.4 (155.4, 221.6) 18 (2, 45) 28 falling falling trend -1.8 (-2.8, -0.9)
Saluda County No 184.8 (141.3, 238.7) 19 (1, 46) 13 stable stable trend -1.0 (-2.2, 0.1)
Clarendon County No 183.4 (158.0, 212.0) 20 (3, 44) 41 falling falling trend -1.3 (-2.0, -0.5)
Charleston County No 183.2 (172.4, 194.4) 21 (9, 36) 236 falling falling trend -1.7 (-2.0, -1.4)
McCormick County No 181.5 (137.0, 238.4) 22 (1, 46) 12 falling falling trend -2.0 (-3.1, -0.8)
Bamberg County No 181.0 (147.0, 221.2) 23 (2, 46) 22 stable stable trend -1.0 (-2.0, 0.0)
Greenwood County No 181.0 (156.8, 207.9) 24 (4, 45) 43 falling falling trend -1.2 (-2.0, -0.5)
Orangeburg County No 179.0 (164.5, 194.6) 25 (8, 42) 119 falling falling trend -1.4 (-1.8, -1.1)
Hampton County No 178.6 (146.3, 216.2) 26 (2, 46) 23 falling falling trend -1.5 (-2.4, -0.7)
Allendale County No 178.0 (137.0, 228.0) 27 (2, 46) 14 falling falling trend -1.3 (-2.5, -0.1)
Georgetown County No 177.9 (154.2, 204.4) 28 (4, 45) 44 falling falling trend -1.8 (-2.4, -1.2)
Spartanburg County No 176.9 (161.9, 192.8) 29 (9, 42) 113 falling falling trend -3.0 (-3.9, -2.2)
Horry County No 173.9 (155.8, 193.5) 30 (9, 44) 75 falling falling trend -1.7 (-2.3, -1.1)
Aiken County No 172.8 (155.4, 191.7) 31 (10, 44) 76 falling falling trend -1.6 (-2.3, -0.8)
Oconee County No 172.0 (130.0, 223.7) 32 (1, 46) 12 stable stable trend -1.3 (-2.5, 0.0)
Darlington County No 172.0 (151.6, 194.5) 33 (7, 45) 56 falling falling trend -1.5 (-2.1, -0.9)
Marion County No 170.1 (145.4, 197.9) 34 (6, 46) 37 falling falling trend -1.7 (-2.4, -1.1)
Beaufort County No 169.8 (150.9, 190.3) 35 (10, 45) 64 falling falling trend -1.6 (-2.1, -1.0)
Greenville County No 169.7 (157.1, 183.0) 36 (15, 44) 148 falling falling trend -1.7 (-2.2, -1.2)
Anderson County No 169.0 (149.6, 190.2) 37 (10, 45) 58 falling falling trend -1.5 (-2.1, -0.9)
Lexington County No 167.1 (146.8, 189.1) 38 (10, 46) 58 falling falling trend -2.3 (-2.9, -1.7)
York County No 165.0 (147.6, 183.8) 39 (13, 45) 75 falling falling trend -2.0 (-2.5, -1.5)
Florence County No 164.0 (149.7, 179.3) 40 (18, 45) 103 falling falling trend -2.1 (-2.6, -1.6)
Chesterfield County No 162.9 (136.7, 192.9) 41 (8, 46) 29 falling falling trend -1.7 (-2.3, -1.0)
Berkeley County No 157.7 (142.2, 174.4) 42 (20, 46) 82 falling falling trend -1.7 (-2.3, -1.2)
Edgefield County No 156.4 (124.9, 193.7) 43 (6, 46) 18 falling falling trend -1.4 (-2.3, -0.5)
Cherokee County No 155.1 (122.9, 192.9) 44 (6, 46) 17 falling falling trend -4.2 (-5.6, -2.7)
Dorchester County No 142.0 (124.6, 161.0) 45 (32, 46) 53 falling falling trend -2.9 (-3.6, -2.2)
Jasper County No 136.8 (110.8, 167.4) 46 (22, 46) 20 falling falling trend -1.6 (-2.6, -0.5)
Notes:
Created by statecancerprofiles.cancer.gov on 04/26/2024 1:46 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 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.
‡ 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.

Healthy People 2030 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.
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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