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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

South Carolina Counties versus United States

Pancreas

All Races, Both Sexes

Sorted by priority index
Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - rising rising trend - 44,868 11.1 (11.0, 11.1) - 0.1 (0.0, 0.2)
South Carolina - stable stable trend - 769 11.4 (11.1, 11.8) - 0.0 (-0.2, 0.2)
Chester County 2 rising rising trend similar 6 13.4 (8.9, 19.5) 1.2 1.9 (0.1, 3.8)
Williamsburg County 2 rising rising trend similar 7 15.6 (10.8, 22.2) 1.4 2.5 (0.8, 4.1)
Anderson County 4 stable stable trend higher 40 14.9 (12.8, 17.2) 1.3 0.8 (-0.2, 1.7)
Laurens County 4 stable stable trend higher 14 14.9 (11.5, 19.0) 1.3 0.6 (-0.9, 2.2)
Aiken County 6 stable stable trend similar 28 11.3 (9.5, 13.5) 1.0 0.3 (-0.7, 1.4)
Berkeley County 6 stable stable trend similar 28 11.7 (9.8, 14.0) 1.1 0.2 (-0.8, 1.3)
Charleston County 6 stable stable trend similar 63 12.2 (10.8, 13.7) 1.1 -0.2 (-0.9, 0.5)
Cherokee County 6 stable stable trend similar 7 8.8 (6.0, 12.6) 0.8 -0.5 (-2.1, 1.1)
Chesterfield County 6 stable stable trend similar 7 12.2 (8.5, 17.0) 1.1 -0.3 (-1.8, 1.2)
Clarendon County 6 stable stable trend similar 6 11.0 (7.3, 16.2) 1.0 -0.4 (-2.2, 1.6)
Darlington County 6 stable stable trend similar 12 12.3 (9.3, 16.1) 1.1 0.7 (-0.8, 2.1)
Dorchester County 6 stable stable trend similar 21 12.2 (9.9, 14.9) 1.1 -0.2 (-1.2, 0.9)
Florence County 6 stable stable trend similar 18 9.8 (7.8, 12.1) 0.9 -0.8 (-1.8, 0.3)
Georgetown County 6 stable stable trend similar 14 12.2 (9.5, 15.8) 1.1 0.4 (-1.1, 2.0)
Greenville County 6 stable stable trend similar 67 10.8 (9.6, 12.0) 1.0 0.0 (-0.7, 0.7)
Greenwood County 6 stable stable trend similar 10 9.9 (7.3, 13.3) 0.9 0.7 (-0.6, 2.1)
Horry County 6 stable stable trend similar 59 10.4 (9.2, 11.8) 0.9 -0.5 (-1.4, 0.3)
Lexington County 6 stable stable trend similar 40 11.2 (9.7, 12.9) 1.0 0.1 (-0.8, 1.0)
Marion County 6 stable stable trend similar 6 13.0 (8.6, 19.2) 1.2 -0.5 (-2.6, 1.6)
Newberry County 6 stable stable trend similar 8 15.3 (11.0, 21.0) 1.4 1.0 (-0.5, 2.5)
Oconee County 6 stable stable trend similar 15 11.9 (9.2, 15.3) 1.1 0.0 (-1.3, 1.4)
Orangeburg County 6 stable stable trend similar 18 13.9 (11.1, 17.3) 1.3 0.0 (-1.3, 1.2)
Pickens County 6 stable stable trend similar 18 11.5 (9.2, 14.3) 1.0 0.2 (-1.0, 1.4)
Richland County 6 stable stable trend similar 50 12.2 (10.7, 13.9) 1.1 -0.5 (-1.3, 0.3)
Sumter County 6 stable stable trend similar 19 13.8 (11.1, 17.1) 1.3 0.9 (-0.2, 2.0)
York County 6 stable stable trend similar 34 11.1 (9.5, 13.0) 1.0 0.0 (-1.1, 1.1)
Kershaw County 7 stable stable trend lower 7 7.4 (5.1, 10.5) 0.7 -1.3 (-2.8, 0.2)
Beaufort County 9 falling falling trend lower 33 9.2 (7.8, 10.9) 0.8 -1.5 (-2.5, -0.5)
Spartanburg County 9 falling falling trend lower 37 9.6 (8.2, 11.1) 0.9 -1.6 (-2.6, -0.6)
Abbeville County
**
** similar 6 14.9 (9.8, 22.2) 1.3
**
Barnwell County
**
** similar 4 13.8 (8.4, 21.7) 1.2
**
Colleton County
**
** similar 9 15.5 (11.3, 21.1) 1.4
**
Dillon County
**
** higher 7 18.0 (12.5, 25.4) 1.6
**
Edgefield County
**
** similar 5 12.0 (7.5, 18.6) 1.1
**
Fairfield County
**
** similar 4 11.9 (7.2, 19.0) 1.1
**
Hampton County
**
** similar 4 16.2 (10.0, 25.3) 1.5
**
Jasper County
**
** similar 3 8.3 (4.7, 13.7) 0.7
**
Lancaster County
**
** similar 14 10.4 (8.1, 13.3) 0.9
**
Marlboro County
**
** similar 4 12.0 (7.3, 18.8) 1.1
**
Union County
**
** similar 5 13.6 (8.8, 20.5) 1.2
**
Allendale County
**
**
*
3 or fewer
*
*
**
Bamberg County
**
**
*
3 or fewer
*
*
**
Calhoun County
**
**
*
3 or fewer
*
*
**
Lee County
**
**
*
3 or fewer
*
*
**
McCormick County
**
**
*
3 or fewer
*
*
**
Saluda County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 2:16 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Allendale County, Bamberg County, Calhoun County, Lee County, McCormick County, Saluda County

Trend for the following could not be reliably determined due to small number of deaths per year:
Abbeville County, Barnwell County, Colleton County, Dillon County, Edgefield County, Fairfield County, Hampton County, Jasper County, Lancaster County, Marlboro County, Union County


Interpret Rankings provides insight into interpreting cancer 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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