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Death Rates Table

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Death Rate Report for South Carolina by County

All Cancer Sites, 2011-2015

Asian or Pacific Islander (includes Hispanic), Both Sexes, 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 87.6 (75.7, 100.7) 48 stable stable trend -1.6 (-3.1, 0.0)
United States Yes 102.0 (101.3, 102.7) 15,970 falling falling trend -1.3 (-1.4, -1.2)
Richland County Yes 121.7 (84.1, 168.6) 8
*
*
Greenville County Yes 118.3 (73.2, 177.2) 7
*
*
Berkeley County Yes 99.5 (63.1, 148.7) 5
*
*
Charleston County Yes 77.0 (46.3, 120.0) 4
*
*
Spartanburg County Yes 75.7 (45.0, 118.4) 4
*
*
Abbeville County ***
*
3 or fewer
*
*
Aiken County ***
*
3 or fewer
*
*
Allendale County ***
*
3 or fewer
*
*
Anderson County ***
*
3 or fewer
*
*
Bamberg County ***
*
3 or fewer
*
*
Barnwell County ***
*
3 or fewer
*
*
Beaufort County ***
*
3 or fewer
*
*
Calhoun County ***
*
3 or fewer
*
*
Cherokee County ***
*
3 or fewer
*
*
Chester County ***
*
3 or fewer
*
*
Chesterfield County ***
*
3 or fewer
*
*
Clarendon County ***
*
3 or fewer
*
*
Colleton County ***
*
3 or fewer
*
*
Darlington County ***
*
3 or fewer
*
*
Dillon County ***
*
3 or fewer
*
*
Dorchester County ***
*
3 or fewer
*
*
Edgefield County ***
*
3 or fewer
*
*
Fairfield County ***
*
3 or fewer
*
*
Florence County ***
*
3 or fewer
*
*
Georgetown County ***
*
3 or fewer
*
*
Greenwood County ***
*
3 or fewer
*
*
Hampton County ***
*
3 or fewer
*
*
Horry County ***
*
3 or fewer
*
*
Jasper County ***
*
3 or fewer
*
*
Kershaw County ***
*
3 or fewer
*
*
Lancaster County ***
*
3 or fewer
*
*
Laurens County ***
*
3 or fewer
*
*
Lee County ***
*
3 or fewer
*
*
Lexington County ***
*
3 or fewer
*
*
Marion County ***
*
3 or fewer
*
*
Marlboro County ***
*
3 or fewer
*
*
McCormick County ***
*
3 or fewer
*
*
Newberry County ***
*
3 or fewer
*
*
Oconee County ***
*
3 or fewer
*
*
Orangeburg County ***
*
3 or fewer
*
*
Pickens County ***
*
3 or fewer
*
*
Saluda County ***
*
3 or fewer
*
*
Sumter County ***
*
3 or fewer
*
*
Union County ***
*
3 or fewer
*
*
Williamsburg County ***
*
3 or fewer
*
*
York County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/21/2019 8:21 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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


Please note that the data comes from different sources. Due to different years of data availablility, 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.

Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.
Data for United States does not include Puerto Rico.

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