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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by CI*Rank
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 descending
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 529.5 (524.7, 534.2) N/A 9,952 falling falling trend -1.6 (-1.7, -1.5)
United States No 501.7 (501.1, 502.3) N/A 569,776 falling falling trend -2.1 (-2.3, -1.8)
Colleton County No 690.6 (632.8, 752.2) 1 (1, 12) 109 stable stable trend -0.3 (-0.7, 0.2)
Chester County No 675.9 (612.6, 743.9) 2 (1, 18) 86 falling falling trend -0.5 (-0.9, -0.2)
Union County No 648.9 (584.4, 718.6) 3 (1, 27) 76 stable stable trend -0.5 (-0.9, 0.0)
Barnwell County No 646.6 (570.4, 730.1) 4 (1, 34) 54 stable stable trend -0.4 (-0.8, 0.1)
Hampton County No 645.9 (566.3, 733.6) 5 (1, 36) 49 stable stable trend -0.4 (-1.1, 0.3)
Marlboro County No 635.8 (567.1, 710.6) 6 (1, 33) 64 falling falling trend -0.9 (-1.5, -0.3)
Williamsburg County No 632.2 (571.8, 697.3) 7 (1, 30) 84 stable stable trend -0.3 (-0.9, 0.3)
Laurens County No 629.8 (587.3, 674.6) 8 (1, 21) 167 stable stable trend -0.3 (-0.7, 0.1)
Allendale County No 624.2 (511.3, 754.7) 9 (1, 44) 22 falling falling trend -1.2 (-2.0, -0.3)
Lee County No 618.4 (536.8, 709.0) 10 (1, 41) 43 falling falling trend -4.6 (-7.8, -1.3)
Sumter County No 596.0 (561.2, 632.4) 11 (4, 29) 223 falling falling trend -0.8 (-1.2, -0.5)
Newberry County No 593.7 (540.2, 651.2) 12 (2, 38) 93 falling falling trend -0.8 (-1.2, -0.3)
Abbeville County No 588.3 (524.7, 657.5) 13 (2, 42) 64 falling falling trend -0.7 (-1.3, -0.1)
Kershaw County No 586.9 (545.2, 631.0) 14 (4, 37) 151 falling falling trend -1.0 (-1.4, -0.6)
Chesterfield County No 581.4 (531.7, 634.6) 15 (3, 39) 104 falling falling trend -1.0 (-1.4, -0.5)
Bamberg County No 578.9 (497.6, 669.8) 16 (1, 44) 37 falling falling trend -0.9 (-1.6, -0.3)
Cherokee County No 577.4 (531.1, 626.7) 17 (5, 38) 118 falling falling trend -1.9 (-2.6, -1.1)
Dillon County No 574.5 (512.4, 642.0) 18 (2, 43) 64 falling falling trend -1.2 (-1.9, -0.6)
Darlington County No 573.7 (532.9, 616.8) 19 (6, 38) 152 falling falling trend -1.1 (-1.4, -0.8)
Calhoun County No 571.5 (493.2, 658.8) 20 (2, 44) 39 stable stable trend -0.5 (-1.3, 0.3)
Fairfield County No 570.5 (504.3, 642.9) 21 (2, 43) 57 falling falling trend -1.2 (-1.9, -0.6)
Marion County No 569.3 (511.0, 632.5) 22 (4, 43) 73 falling falling trend -1.1 (-1.6, -0.6)
Orangeburg County No 567.6 (532.6, 604.2) 23 (8, 38) 202 falling falling trend -0.9 (-1.1, -0.6)
Greenwood County No 564.3 (525.2, 605.6) 24 (7, 39) 158 falling falling trend -1.1 (-1.5, -0.7)
Spartanburg County No 556.6 (536.6, 577.1) 25 (14, 34) 604 falling falling trend -1.6 (-1.9, -1.2)
Richland County No 552.4 (532.8, 572.5) 26 (15, 36) 632 falling falling trend -1.3 (-1.5, -1.1)
McCormick County No 551.2 (466.7, 647.0) 27 (2, 45) 33 falling falling trend -1.7 (-2.3, -1.1)
Saluda County No 543.9 (476.8, 618.0) 28 (4, 45) 48 falling falling trend -1.2 (-1.9, -0.5)
Horry County No 542.9 (525.9, 560.2) 29 (18, 37) 848 falling falling trend -1.1 (-1.3, -0.8)
Anderson County No 542.0 (518.8, 566.1) 30 (16, 39) 416 falling falling trend -1.2 (-2.1, -0.2)
Pickens County No 537.2 (506.9, 568.8) 31 (14, 42) 239 falling falling trend -0.9 (-1.2, -0.6)
Clarendon County No 535.9 (485.0, 590.6) 32 (9, 44) 85 falling falling trend -1.8 (-2.7, -0.9)
Florence County No 534.6 (505.6, 564.7) 33 (16, 41) 264 falling falling trend -1.4 (-1.6, -1.1)
Berkeley County No 528.8 (503.1, 555.4) 34 (19, 41) 343 falling falling trend -1.7 (-2.0, -1.5)
Dorchester County No 528.7 (499.2, 559.4) 35 (17, 42) 255 falling falling trend -1.5 (-1.9, -1.2)
York County No 523.7 (501.4, 546.7) 36 (22, 42) 438 falling falling trend -2.6 (-3.4, -1.9)
Aiken County No 523.3 (499.1, 548.4) 37 (21, 42) 361 falling falling trend -1.9 (-2.4, -1.4)
Lexington County No 518.9 (498.8, 539.5) 38 (25, 42) 523 falling falling trend -1.4 (-1.7, -1.2)
Oconee County No 518.4 (484.7, 553.8) 39 (19, 44) 185 falling falling trend -1.1 (-1.5, -0.7)
Georgetown County No 502.5 (467.8, 539.0) 40 (22, 45) 167 falling falling trend -3.6 (-5.3, -1.8)
Charleston County No 498.9 (482.2, 516.1) 41 (32, 44) 701 falling falling trend -2.4 (-3.0, -1.7)
Greenville County No 479.6 (465.0, 494.6) 42 (39, 45) 832 falling falling trend -3.2 (-4.3, -2.1)
Lancaster County No 478.6 (448.0, 510.7) 43 (33, 45) 189 falling falling trend -1.4 (-1.8, -0.9)
Edgefield County No 449.2 (394.1, 509.9) 44 (29, 46) 49 falling falling trend -2.0 (-2.7, -1.4)
Jasper County No 448.9 (393.3, 510.2) 45 (29, 46) 51 falling falling trend -1.3 (-2.2, -0.5)
Beaufort County No 406.8 (388.5, 425.7) 46 (44, 46) 398 falling falling trend -2.0 (-2.3, -1.7)
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2022 4:12 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 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.



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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