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Death Rates Table

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Death Rate Report for Pennsylvania by County

Pancreas, 2015-2019

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

Sorted by Count
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
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 ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania *** 12.1 (11.8, 12.3) N/A 2,147 rising rising trend 0.6 (0.5, 0.7)
United States *** 11.1 (11.0, 11.1) N/A 43,836 rising rising trend 0.3 (0.2, 0.3)
Allegheny County *** 13.2 (12.5, 14.1) 13 (5, 33) 232 rising rising trend 0.9 (0.6, 1.1)
Philadelphia County *** 13.1 (12.3, 13.9) 15 (6, 35) 222 stable stable trend 0.0 (-0.3, 0.3)
Montgomery County *** 11.4 (10.6, 12.4) 39 (18, 56) 131 stable stable trend 0.3 (-0.1, 0.7)
Bucks County *** 10.9 (9.9, 12.0) 51 (23, 59) 97 stable stable trend 0.4 (-0.1, 0.9)
Delaware County *** 12.4 (11.2, 13.6) 25 (7, 50) 91 rising rising trend 0.8 (0.3, 1.3)
Lancaster County *** 11.0 (10.0, 12.2) 50 (18, 59) 81 rising rising trend 0.7 (0.1, 1.2)
York County *** 12.4 (11.2, 13.8) 22 (6, 51) 74 rising rising trend 1.2 (0.5, 2.0)
Chester County *** 11.3 (10.1, 12.5) 46 (15, 59) 73 rising rising trend 0.7 (0.2, 1.3)
Westmoreland County *** 12.2 (10.9, 13.6) 28 (7, 54) 72 stable stable trend 0.5 (0.0, 1.1)
Berks County *** 11.2 (9.9, 12.5) 47 (15, 60) 61 stable stable trend 0.7 (0.0, 1.5)
Luzerne County *** 11.8 (10.4, 13.3) 33 (8, 58) 57 stable stable trend 0.6 (0.0, 1.2)
Northampton County *** 12.4 (10.9, 14.0) 24 (5, 53) 53 stable stable trend 0.7 (0.0, 1.5)
Lehigh County *** 10.2 (9.0, 11.6) 58 (25, 62) 49 stable stable trend -0.1 (-0.8, 0.7)
Erie County *** 12.9 (11.3, 14.8) 17 (3, 52) 48 rising rising trend 0.9 (0.3, 1.4)
Cumberland County *** 12.9 (11.3, 14.8) 18 (2, 52) 44 rising rising trend 1.6 (0.6, 2.7)
Dauphin County *** 12.1 (10.5, 13.9) 30 (5, 58) 43 stable stable trend 0.4 (-0.4, 1.2)
Lackawanna County *** 12.3 (10.6, 14.2) 26 (4, 56) 40 stable stable trend 0.5 (-0.4, 1.5)
Washington County *** 11.4 (9.8, 13.3) 38 (8, 61) 36 rising rising trend 1.0 (0.1, 1.9)
Beaver County *** 12.7 (10.8, 14.9) 20 (2, 57) 34 rising rising trend 1.1 (0.4, 1.9)
Schuylkill County *** 15.3 (13.0, 17.9) 1 (1, 34) 34 rising rising trend 1.8 (0.8, 2.7)
Cambria County *** 14.1 (11.9, 16.6) 6 (1, 47) 31 stable stable trend 1.0 (-0.1, 2.1)
Franklin County *** 12.8 (10.8, 15.2) 19 (2, 57) 29 stable stable trend 0.8 (-0.1, 1.7)
Butler County *** 10.8 (9.1, 12.8) 53 (11, 62) 29 stable stable trend 0.6 (-0.4, 1.6)
Fayette County *** 13.6 (11.4, 16.2) 10 (1, 53) 28 rising rising trend 1.4 (0.4, 2.5)
Monroe County *** 12.5 (10.4, 14.8) 21 (3, 59) 28 stable stable trend 0.1 (-1.0, 1.1)
Lebanon County *** 11.9 (9.9, 14.3) 31 (4, 60) 25 stable stable trend 0.4 (-0.6, 1.4)
Blair County *** 11.3 (9.2, 13.8) 43 (5, 62) 21 stable stable trend 0.9 (-0.2, 1.9)
Adams County *** 13.2 (10.7, 16.2) 14 (1, 59) 20 stable stable trend 1.2 (-0.4, 2.9)
Mercer County *** 10.7 (8.7, 13.3) 54 (7, 63) 19 stable stable trend -0.4 (-1.6, 0.8)
Lawrence County *** 13.5 (10.9, 16.7) 11 (1, 58) 19 rising rising trend 1.4 (0.3, 2.5)
Lycoming County *** 11.3 (9.1, 13.9) 45 (4, 62) 19 rising rising trend 1.4 (0.3, 2.4)
Centre County *** 10.7 (8.6, 13.2) 55 (8, 63) 18 stable stable trend 0.4 (-0.9, 1.7)
Northumberland County *** 11.8 (9.4, 14.8) 32 (3, 62) 17 stable stable trend 0.6 (-0.6, 1.8)
Crawford County *** 11.7 (9.2, 14.8) 35 (2, 63) 16 stable stable trend 1.0 (-0.1, 2.2)
Clearfield County *** 11.4 (8.8, 14.5) 42 (2, 63) 14 stable stable trend 1.3 (-0.1, 2.7)
Somerset County *** 11.1 (8.6, 14.3) 49 (3, 63) 14 stable stable trend 1.0 (-0.2, 2.2)
Bradford County *** 14.0 (10.8, 18.1) 7 (1, 60) 13 stable stable trend 1.1 (-0.5, 2.7)
Armstrong County *** 11.6 (8.9, 15.2) 36 (2, 63) 12 stable stable trend 0.4 (-1.1, 1.9)
Columbia County *** 12.1 (9.2, 15.9) 29 (1, 63) 12 stable stable trend 1.1 (-0.3, 2.5)
Indiana County *** 9.4 (7.1, 12.3) 61 (11, 63) 12 stable stable trend 0.5 (-0.8, 1.9)
Carbon County *** 11.1 (8.4, 14.6) 48 (3, 63) 11 stable stable trend 0.6 (-0.8, 2.1)
Venango County *** 12.4 (9.3, 16.6) 23 (1, 63) 11 stable stable trend 1.2 (-0.3, 2.7)
Mifflin County *** 14.2 (10.7, 18.9) 5 (1, 61) 11 stable stable trend 1.4 (-0.1, 2.9)
Wayne County *** 11.6 (8.5, 15.6) 37 (1, 63) 10 stable stable trend -0.2 (-1.8, 1.3)
Susquehanna County *** 14.8 (10.8, 20.1) 2 (1, 61) 10 stable stable trend 1.1 (-0.7, 2.9)
Tioga County *** 14.0 (10.1, 19.2) 8 (1, 62) 9 stable stable trend 1.5 (-0.1, 3.2)
Pike County *** 8.9 (6.4, 12.3) 62 (15, 63) 9 stable stable trend -0.8 (-2.3, 0.8)
Bedford County *** 9.8 (7.0, 13.7) 59 (5, 63) 8 stable stable trend 0.3 (-1.8, 2.4)
Perry County *** 13.0 (9.3, 18.0) 16 (1, 63) 8 rising rising trend 2.2 (0.5, 3.9)
Jefferson County *** 11.4 (8.1, 15.9) 40 (1, 63) 8
*
*
McKean County *** 12.3 (8.5, 17.2) 27 (1, 63) 7 stable stable trend 1.2 (-0.5, 2.9)
Clinton County *** 13.4 (9.4, 18.9) 12 (1, 63) 7 rising rising trend 2.1 (0.2, 4.0)
Union County *** 11.4 (7.9, 16.0) 41 (1, 63) 7 stable stable trend -0.3 (-2.3, 1.7)
Warren County *** 11.3 (7.7, 16.2) 44 (1, 63) 7 stable stable trend -0.2 (-1.8, 1.5)
Huntingdon County *** 9.4 (6.5, 13.4) 60 (6, 63) 7 stable stable trend 0.1 (-1.9, 2.1)
Clarion County *** 11.7 (7.9, 17.1) 34 (1, 63) 6
*
*
Elk County *** 10.9 (7.2, 16.3) 52 (1, 63) 6 stable stable trend 1.4 (-0.5, 3.3)
Greene County *** 10.4 (6.9, 15.4) 57 (1, 63) 6 stable stable trend 0.2 (-2.0, 2.3)
Wyoming County *** 14.6 (9.6, 21.7) 3 (1, 63) 6 stable stable trend 0.2 (-2.0, 2.3)
Snyder County *** 8.4 (5.4, 12.6) 63 (10, 63) 5 stable stable trend -0.7 (-3.0, 1.6)
Juniata County *** 10.7 (6.4, 17.1) 56 (1, 63) 4
*
*
Montour County *** 13.7 (8.1, 22.3) 9 (1, 63) 4
*
*
Fulton County *** 14.4 (8.3, 24.2) 4 (1, 63) 3
*
*
Cameron County ***
*
*
3 or fewer
*
*
Forest County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/18/2021 6:15 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 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
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 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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