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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 name
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)
Pennsylvania - rising rising trend - 2,167 12.0 (11.8, 12.3) - 0.6 (0.5, 0.7)
York County 1 rising rising trend higher 76 12.6 (11.4, 14.0) 1.1 1.3 (0.6, 2.0)
Wyoming County 6 stable stable trend similar 6 13.8 (9.0, 20.6) 1.2 0.0 (-2.1, 2.1)
Westmoreland County 6 stable stable trend similar 71 11.8 (10.6, 13.1) 1.1 0.4 (-0.2, 1.0)
Wayne County 6 stable stable trend similar 10 10.9 (8.0, 14.7) 1.0 -0.3 (-1.7, 1.2)
Washington County 2 rising rising trend similar 40 12.6 (10.9, 14.6) 1.1 1.1 (0.3, 2.0)
Warren County 6 stable stable trend similar 8 12.0 (8.4, 17.0) 1.1 0.3 (-1.2, 1.9)
Venango County 6 stable stable trend similar 11 12.8 (9.5, 17.1) 1.2 1.1 (-0.3, 2.6)
Union County 6 stable stable trend similar 8 12.5 (8.9, 17.3) 1.1 -0.5 (-2.4, 1.4)
Tioga County 6 stable stable trend similar 9 13.6 (9.6, 18.9) 1.2 1.3 (-0.3, 3.0)
Susquehanna County 6 stable stable trend similar 9 12.4 (8.9, 17.1) 1.1 0.8 (-1.0, 2.6)
Sullivan County
**
 		**
*
3 or fewer
*
*
**
Somerset County 6 stable stable trend similar 14 11.1 (8.6, 14.3) 1.0 1.0 (-0.1, 2.1)
Snyder County 6 stable stable trend similar 5 9.2 (6.0, 13.7) 0.8 -0.2 (-2.4, 1.9)
Schuylkill County 1 rising rising trend higher 34 15.2 (12.9, 17.7) 1.4 1.7 (0.8, 2.6)
Potter County
**
 		**
*
3 or fewer
*
*
**
Pike County 6 stable stable trend similar 10 10.1 (7.5, 13.6) 0.9 -0.3 (-1.8, 1.1)
Philadelphia County 4 stable stable trend higher 222 12.9 (12.1, 13.7) 1.2 -0.1 (-0.3, 0.2)
Perry County 2 rising rising trend similar 9 13.4 (9.6, 18.3) 1.2 1.9 (0.4, 3.5)
Northumberland County 6 stable stable trend similar 18 12.6 (10.1, 15.7) 1.1 0.4 (-0.7, 1.6)
Northampton County 2 rising rising trend similar 55 12.5 (11.1, 14.2) 1.1 0.7 (0.1, 1.4)
Montour County
**
 		**
*
3 or fewer
*
*
**
Montgomery County 6 stable stable trend similar 133 11.4 (10.6, 12.4) 1.0 0.2 (-0.2, 0.6)
Monroe County 6 stable stable trend similar 26 11.1 (9.2, 13.3) 1.0 -0.1 (-1.0, 0.9)
Mifflin County 1 rising rising trend higher 12 15.7 (11.9, 20.5) 1.4 1.6 (0.2, 3.0)
Mercer County 6 stable stable trend similar 21 11.2 (9.1, 13.7) 1.0 -0.3 (-1.4, 0.8)
McKean County 6 stable stable trend similar 8 12.4 (8.7, 17.4) 1.1 1.0 (-0.7, 2.6)
Lycoming County 2 rising rising trend similar 22 12.9 (10.5, 15.6) 1.2 1.7 (0.7, 2.8)
Luzerne County 2 rising rising trend similar 60 12.3 (10.9, 13.8) 1.1 0.7 (0.2, 1.3)
Lehigh County 6 stable stable trend similar 52 10.9 (9.6, 12.3) 1.0 0.1 (-0.6, 0.9)
Lebanon County 6 stable stable trend similar 25 11.9 (9.9, 14.3) 1.1 0.3 (-0.7, 1.2)
Lawrence County 2 rising rising trend similar 19 13.2 (10.6, 16.3) 1.2 1.2 (0.2, 2.3)
Lancaster County 2 rising rising trend similar 84 11.2 (10.1, 12.4) 1.0 0.7 (0.2, 1.2)
Lackawanna County 6 stable stable trend similar 41 12.5 (10.8, 14.5) 1.1 0.7 (-0.2, 1.6)
Juniata County
**
 		** similar 4 11.2 (6.8, 17.8) 1.0
**
Jefferson County
**
 		** similar 8 12.1 (8.6, 16.8) 1.1
**
Indiana County 6 stable stable trend similar 14 10.9 (8.4, 14.0) 1.0 1.0 (-0.3, 2.3)
Huntingdon County 6 stable stable trend similar 6 8.5 (5.8, 12.3) 0.8 -0.2 (-2.0, 1.7)
Greene County 6 stable stable trend similar 5 9.2 (5.9, 14.0) 0.8 -0.1 (-2.1, 2.0)
Fulton County
**
 		**
*
3 or fewer
*
*
**
Franklin County 6 stable stable trend similar 28 12.1 (10.2, 14.4) 1.1 0.7 (-0.2, 1.5)
Forest County
**
 		**
*
3 or fewer
*
*
**
Fayette County 2 rising rising trend similar 28 13.1 (10.9, 15.6) 1.2 1.3 (0.3, 2.3)
Erie County 2 rising rising trend similar 47 12.7 (11.1, 14.5) 1.1 0.8 (0.3, 1.3)
Elk County 6 stable stable trend similar 5 9.9 (6.4, 15.1) 0.9 1.0 (-0.8, 2.9)
Delaware County 2 rising rising trend similar 88 11.9 (10.8, 13.1) 1.1 0.7 (0.2, 1.1)
Dauphin County 6 stable stable trend similar 42 11.6 (10.1, 13.4) 1.1 0.3 (-0.4, 1.1)
Cumberland County 2 rising rising trend similar 44 12.6 (11.0, 14.5) 1.1 1.5 (0.5, 2.5)
Crawford County 6 stable stable trend similar 16 12.1 (9.5, 15.3) 1.1 1.0 (-0.1, 2.1)
Columbia County 6 stable stable trend similar 12 13.1 (9.9, 17.0) 1.2 1.1 (-0.1, 2.4)
Clinton County 2 rising rising trend similar 8 14.2 (10.1, 19.7) 1.3 2.0 (0.3, 3.8)
Clearfield County 6 stable stable trend similar 14 11.4 (8.8, 14.5) 1.0 1.1 (-0.3, 2.4)
Clarion County
**
 		** similar 6 11.5 (7.8, 16.7) 1.0
**
Chester County 2 rising rising trend similar 75 11.2 (10.0, 12.4) 1.0 0.7 (0.2, 1.2)
Centre County 6 stable stable trend similar 17 10.0 (8.0, 12.4) 0.9 0.2 (-1.0, 1.4)
Carbon County 6 stable stable trend similar 11 10.9 (8.2, 14.4) 1.0 0.9 (-0.5, 2.3)
Cameron County
**
 		**
*
3 or fewer
*
*
**
Cambria County 6 stable stable trend similar 29 13.0 (10.9, 15.4) 1.2 0.9 (-0.2, 2.0)
Butler County 6 stable stable trend similar 30 10.8 (9.1, 12.7) 1.0 0.5 (-0.5, 1.4)
Bucks County 6 stable stable trend similar 104 11.4 (10.4, 12.4) 1.0 0.4 (0.0, 0.9)
Bradford County 6 stable stable trend similar 13 13.4 (10.1, 17.4) 1.2 0.9 (-0.6, 2.5)
Blair County 6 stable stable trend similar 21 11.0 (9.0, 13.5) 1.0 0.8 (-0.1, 1.8)
Berks County 2 rising rising trend similar 64 11.5 (10.2, 12.9) 1.0 0.8 (0.1, 1.5)
Bedford County 6 stable stable trend similar 8 9.3 (6.6, 13.0) 0.8 0.4 (-1.5, 2.3)
Beaver County 2 rising rising trend similar 34 12.7 (10.8, 14.9) 1.1 1.0 (0.3, 1.7)
Armstrong County 6 stable stable trend similar 14 12.9 (9.9, 16.7) 1.2 0.5 (-0.9, 1.9)
Allegheny County 1 rising rising trend higher 225 12.7 (12.0, 13.5) 1.1 0.8 (0.5, 1.1)
Adams County 6 stable stable trend similar 19 12.1 (9.7, 15.0) 1.1 1.3 (-0.2, 2.7)
Notes:
Created by statecancerprofiles.cancer.gov on 06/10/2024 12:08 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:
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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