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Death Rates Table

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Death Rate Report for Pennsylvania by County

Liver & Bile Duct, 2016-2020

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

Sorted by CI*Rank
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 ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania *** 6.5 (6.3, 6.6) N/A 1,179 rising rising trend 2.3 (2.0, 2.5)
United States *** 6.6 (6.6, 6.7) N/A 27,509 stable stable trend -0.6 (-1.2, 0.0)
Pike County *** 3.8 (2.3, 6.3) 54 (17, 54) 4 stable stable trend -1.1 (-3.2, 1.1)
Centre County *** 4.1 (2.9, 5.8) 53 (24, 54) 8
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*
Crawford County *** 4.4 (2.9, 6.5) 52 (10, 54) 6 stable stable trend 0.6 (-1.2, 2.4)
Wayne County *** 4.8 (3.0, 7.6) 51 (5, 54) 5
*
*
Lancaster County *** 5.0 (4.3, 5.8) 50 (23, 53) 38 rising rising trend 2.9 (1.9, 3.8)
Armstrong County *** 5.0 (3.3, 7.6) 49 (4, 54) 6 stable stable trend 1.4 (-0.3, 3.1)
Jefferson County *** 5.1 (3.0, 8.4) 48 (3, 54) 4
*
*
Carbon County *** 5.1 (3.3, 7.7) 47 (4, 54) 5 stable stable trend 1.1 (-1.2, 3.4)
Columbia County *** 5.1 (3.2, 7.8) 46 (4, 54) 5
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*
Lebanon County *** 5.1 (3.8, 6.8) 45 (9, 54) 10 stable stable trend 1.6 (-0.1, 3.4)
Bradford County *** 5.3 (3.5, 7.9) 44 (3, 54) 5
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*
Chester County *** 5.3 (4.6, 6.2) 43 (19, 52) 37 rising rising trend 1.7 (0.6, 2.8)
Erie County *** 5.5 (4.4, 6.7) 42 (12, 53) 21 rising rising trend 2.1 (1.1, 3.1)
Bucks County *** 5.5 (4.8, 6.2) 41 (18, 51) 51 rising rising trend 1.6 (0.9, 2.4)
Franklin County *** 5.5 (4.2, 7.1) 40 (6, 54) 13 stable stable trend 1.3 (-0.2, 2.7)
Adams County *** 5.5 (3.9, 7.6) 39 (4, 54) 8
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*
Susquehanna County *** 5.6 (3.5, 9.1) 38 (2, 54) 4
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*
Cumberland County *** 5.6 (4.6, 6.9) 37 (8, 52) 20 rising rising trend 2.2 (0.9, 3.6)
Indiana County *** 5.7 (3.9, 8.0) 36 (3, 54) 7 stable stable trend 0.9 (-0.9, 2.6)
Huntingdon County *** 5.7 (3.3, 9.3) 35 (1, 54) 4
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*
Berks County *** 5.8 (4.9, 6.7) 34 (11, 50) 34 rising rising trend 2.9 (1.7, 4.1)
Tioga County *** 5.9 (3.4, 9.8) 33 (1, 54) 4
*
*
Luzerne County *** 5.9 (4.9, 7.1) 32 (8, 51) 28 rising rising trend 1.8 (0.9, 2.8)
Lackawanna County *** 5.9 (4.8, 7.3) 31 (5, 52) 19 rising rising trend 2.3 (1.3, 3.3)
Warren County *** 5.9 (3.7, 9.5) 30 (1, 54) 4
*
*
Blair County *** 5.9 (4.5, 7.8) 29 (4, 53) 11 rising rising trend 2.3 (0.6, 4.0)
York County *** 6.0 (5.1, 6.9) 28 (9, 49) 37 rising rising trend 4.3 (2.9, 5.6)
Westmoreland County *** 6.0 (5.2, 7.1) 27 (8, 48) 36 rising rising trend 2.2 (1.1, 3.3)
Fayette County *** 6.1 (4.6, 7.9) 26 (4, 52) 13 rising rising trend 2.7 (1.4, 4.0)
Montgomery County *** 6.1 (5.5, 6.8) 25 (10, 44) 70 rising rising trend 2.9 (2.4, 3.5)
Monroe County *** 6.2 (4.9, 7.8) 24 (4, 51) 16 rising rising trend 2.9 (1.2, 4.6)
Northumberland County *** 6.2 (4.5, 8.5) 23 (2, 53) 9
*
*
Greene County *** 6.3 (3.5, 10.6) 22 (1, 54) 3
*
*
Lehigh County *** 6.4 (5.4, 7.5) 21 (5, 47) 30 rising rising trend 2.2 (1.1, 3.4)
Mercer County *** 6.4 (4.8, 8.5) 20 (3, 52) 12 rising rising trend 2.7 (1.4, 4.0)
Cambria County *** 6.5 (5.0, 8.4) 19 (2, 51) 14 rising rising trend 2.4 (1.1, 3.7)
Venango County *** 6.5 (4.4, 9.7) 18 (1, 54) 6 rising rising trend 4.0 (2.2, 5.9)
Somerset County *** 6.5 (4.6, 9.1) 17 (2, 53) 8 rising rising trend 2.4 (0.7, 4.1)
Beaver County *** 6.6 (5.3, 8.2) 16 (3, 49) 19 rising rising trend 3.3 (1.8, 4.8)
Butler County *** 6.7 (5.3, 8.3) 15 (3, 49) 18 rising rising trend 2.5 (1.1, 3.9)
Delaware County *** 6.7 (5.9, 7.6) 14 (5, 39) 51 rising rising trend 2.0 (1.2, 2.8)
Washington County *** 6.7 (5.5, 8.2) 13 (3, 46) 22 rising rising trend 2.8 (1.7, 3.8)
Allegheny County *** 6.8 (6.2, 7.4) 12 (6, 32) 120 rising rising trend 2.5 (2.1, 3.0)
McKean County *** 6.9 (4.2, 10.9) 11 (1, 54) 4
*
*
Lawrence County *** 7.1 (5.2, 9.5) 10 (1, 51) 10 rising rising trend 2.7 (1.2, 4.2)
Schuylkill County *** 7.1 (5.6, 8.9) 9 (2, 45) 16 rising rising trend 2.2 (0.9, 3.5)
Perry County *** 7.2 (4.5, 11.1) 8 (1, 54) 5
*
*
Northampton County *** 7.6 (6.4, 8.9) 7 (2, 31) 33 rising rising trend 2.7 (1.8, 3.6)
Clearfield County *** 7.7 (5.6, 10.5) 6 (1, 50) 9
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*
Dauphin County *** 8.1 (6.8, 9.5) 5 (1, 28) 30 rising rising trend 3.1 (2.1, 4.1)
Lycoming County *** 8.1 (6.2, 10.5) 4 (1, 41) 13
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*
Bedford County *** 8.2 (5.6, 11.8) 3 (1, 50) 7
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*
Elk County *** 9.4 (5.7, 14.9) 2 (1, 52) 4
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*
Philadelphia County *** 10.1 (9.5, 10.8) 1 (1, 5) 181 stable stable trend -1.3 (-3.5, 1.0)
Cameron County ***
*
*
3 or fewer
*
*
Clarion County ***
*
*
3 or fewer
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*
Clinton County ***
*
*
3 or fewer
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*
Forest County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
*
*
Juniata County ***
*
*
3 or fewer
*
*
Mifflin County ***
*
*
3 or fewer
*
*
Montour County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Snyder County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Union County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/29/2024 7:04 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 2030 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.
‡ 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.

* 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.
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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