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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Pennsylvania Counties versus United States

Pancreas

All Races, Both Sexes

Sorted by rate
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 ascending
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)
Pennsylvania - rising rising trend - 2,167 12.0 (11.8, 12.3) - 0.6 (0.5, 0.7)
Mifflin County 1 rising rising trend higher 12 15.7 (11.9, 20.5) 1.4 1.6 (0.2, 3.0)
Schuylkill County 1 rising rising trend higher 34 15.2 (12.9, 17.7) 1.4 1.7 (0.8, 2.6)
Clinton County 2 rising rising trend similar 8 14.2 (10.1, 19.7) 1.3 2.0 (0.3, 3.8)
Wyoming County 6 stable stable trend similar 6 13.8 (9.0, 20.6) 1.2 0.0 (-2.1, 2.1)
Tioga County 6 stable stable trend similar 9 13.6 (9.6, 18.9) 1.2 1.3 (-0.3, 3.0)
Perry County 2 rising rising trend similar 9 13.4 (9.6, 18.3) 1.2 1.9 (0.4, 3.5)
Bradford County 6 stable stable trend similar 13 13.4 (10.1, 17.4) 1.2 0.9 (-0.6, 2.5)
Lawrence County 2 rising rising trend similar 19 13.2 (10.6, 16.3) 1.2 1.2 (0.2, 2.3)
Fayette County 2 rising rising trend similar 28 13.1 (10.9, 15.6) 1.2 1.3 (0.3, 2.3)
Columbia County 6 stable stable trend similar 12 13.1 (9.9, 17.0) 1.2 1.1 (-0.1, 2.4)
Cambria County 6 stable stable trend similar 29 13.0 (10.9, 15.4) 1.2 0.9 (-0.2, 2.0)
Armstrong County 6 stable stable trend similar 14 12.9 (9.9, 16.7) 1.2 0.5 (-0.9, 1.9)
Philadelphia County 4 stable stable trend higher 222 12.9 (12.1, 13.7) 1.2 -0.1 (-0.3, 0.2)
Lycoming County 2 rising rising trend similar 22 12.9 (10.5, 15.6) 1.2 1.7 (0.7, 2.8)
Venango County 6 stable stable trend similar 11 12.8 (9.5, 17.1) 1.2 1.1 (-0.3, 2.6)
Allegheny County 1 rising rising trend higher 225 12.7 (12.0, 13.5) 1.1 0.8 (0.5, 1.1)
Erie County 2 rising rising trend similar 47 12.7 (11.1, 14.5) 1.1 0.8 (0.3, 1.3)
Beaver County 2 rising rising trend similar 34 12.7 (10.8, 14.9) 1.1 1.0 (0.3, 1.7)
Cumberland County 2 rising rising trend similar 44 12.6 (11.0, 14.5) 1.1 1.5 (0.5, 2.5)
Washington County 2 rising rising trend similar 40 12.6 (10.9, 14.6) 1.1 1.1 (0.3, 2.0)
York County 1 rising rising trend higher 76 12.6 (11.4, 14.0) 1.1 1.3 (0.6, 2.0)
Northumberland County 6 stable stable trend similar 18 12.6 (10.1, 15.7) 1.1 0.4 (-0.7, 1.6)
Lackawanna County 6 stable stable trend similar 41 12.5 (10.8, 14.5) 1.1 0.7 (-0.2, 1.6)
Northampton County 2 rising rising trend similar 55 12.5 (11.1, 14.2) 1.1 0.7 (0.1, 1.4)
Union County 6 stable stable trend similar 8 12.5 (8.9, 17.3) 1.1 -0.5 (-2.4, 1.4)
McKean County 6 stable stable trend similar 8 12.4 (8.7, 17.4) 1.1 1.0 (-0.7, 2.6)
Susquehanna County 6 stable stable trend similar 9 12.4 (8.9, 17.1) 1.1 0.8 (-1.0, 2.6)
Luzerne County 2 rising rising trend similar 60 12.3 (10.9, 13.8) 1.1 0.7 (0.2, 1.3)
Adams County 6 stable stable trend similar 19 12.1 (9.7, 15.0) 1.1 1.3 (-0.2, 2.7)
Franklin County 6 stable stable trend similar 28 12.1 (10.2, 14.4) 1.1 0.7 (-0.2, 1.5)
Crawford County 6 stable stable trend similar 16 12.1 (9.5, 15.3) 1.1 1.0 (-0.1, 2.1)
Warren County 6 stable stable trend similar 8 12.0 (8.4, 17.0) 1.1 0.3 (-1.2, 1.9)
Lebanon County 6 stable stable trend similar 25 11.9 (9.9, 14.3) 1.1 0.3 (-0.7, 1.2)
Delaware County 2 rising rising trend similar 88 11.9 (10.8, 13.1) 1.1 0.7 (0.2, 1.1)
Westmoreland County 6 stable stable trend similar 71 11.8 (10.6, 13.1) 1.1 0.4 (-0.2, 1.0)
Dauphin County 6 stable stable trend similar 42 11.6 (10.1, 13.4) 1.1 0.3 (-0.4, 1.1)
Berks County 2 rising rising trend similar 64 11.5 (10.2, 12.9) 1.0 0.8 (0.1, 1.5)
Montgomery County 6 stable stable trend similar 133 11.4 (10.6, 12.4) 1.0 0.2 (-0.2, 0.6)
Bucks County 6 stable stable trend similar 104 11.4 (10.4, 12.4) 1.0 0.4 (0.0, 0.9)
Clearfield County 6 stable stable trend similar 14 11.4 (8.8, 14.5) 1.0 1.1 (-0.3, 2.4)
Lancaster County 2 rising rising trend similar 84 11.2 (10.1, 12.4) 1.0 0.7 (0.2, 1.2)
Mercer County 6 stable stable trend similar 21 11.2 (9.1, 13.7) 1.0 -0.3 (-1.4, 0.8)
Chester County 2 rising rising trend similar 75 11.2 (10.0, 12.4) 1.0 0.7 (0.2, 1.2)
Somerset County 6 stable stable trend similar 14 11.1 (8.6, 14.3) 1.0 1.0 (-0.1, 2.1)
Monroe County 6 stable stable trend similar 26 11.1 (9.2, 13.3) 1.0 -0.1 (-1.0, 0.9)
Blair County 6 stable stable trend similar 21 11.0 (9.0, 13.5) 1.0 0.8 (-0.1, 1.8)
Carbon County 6 stable stable trend similar 11 10.9 (8.2, 14.4) 1.0 0.9 (-0.5, 2.3)
Indiana County 6 stable stable trend similar 14 10.9 (8.4, 14.0) 1.0 1.0 (-0.3, 2.3)
Lehigh County 6 stable stable trend similar 52 10.9 (9.6, 12.3) 1.0 0.1 (-0.6, 0.9)
Wayne County 6 stable stable trend similar 10 10.9 (8.0, 14.7) 1.0 -0.3 (-1.7, 1.2)
Butler County 6 stable stable trend similar 30 10.8 (9.1, 12.7) 1.0 0.5 (-0.5, 1.4)
Pike County 6 stable stable trend similar 10 10.1 (7.5, 13.6) 0.9 -0.3 (-1.8, 1.1)
Centre County 6 stable stable trend similar 17 10.0 (8.0, 12.4) 0.9 0.2 (-1.0, 1.4)
Elk County 6 stable stable trend similar 5 9.9 (6.4, 15.1) 0.9 1.0 (-0.8, 2.9)
Bedford County 6 stable stable trend similar 8 9.3 (6.6, 13.0) 0.8 0.4 (-1.5, 2.3)
Greene County 6 stable stable trend similar 5 9.2 (5.9, 14.0) 0.8 -0.1 (-2.1, 2.0)
Snyder County 6 stable stable trend similar 5 9.2 (6.0, 13.7) 0.8 -0.2 (-2.4, 1.9)
Huntingdon County 6 stable stable trend similar 6 8.5 (5.8, 12.3) 0.8 -0.2 (-2.0, 1.7)
Clarion County
**
** similar 6 11.5 (7.8, 16.7) 1.0
**
Jefferson County
**
** similar 8 12.1 (8.6, 16.8) 1.1
**
Juniata County
**
** similar 4 11.2 (6.8, 17.8) 1.0
**
Cameron County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Montour County
**
**
*
3 or fewer
*
*
**
Potter County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/19/2024 4:57 am.

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:
Cameron County, Forest County, Fulton County, Montour County, Potter County, Sullivan County

Trend for the following could not be reliably determined due to small number of deaths per year:
Clarion County, Jefferson County, Juniata 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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