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Death Rates Table

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Death Rate Report for Pennsylvania by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages <50

Sorted by CI*Rank
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
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 descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania Yes 15.0 (14.6, 15.4) N/A 1,124 falling falling trend -1.9 (-2.0, -1.8)
United States Yes 14.9 (14.8, 15.0) N/A 29,891 falling falling trend -1.7 (-1.9, -1.6)
Tioga County Yes 23.1 (14.9, 34.1) 1 (1, 53) 5
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*
Bradford County Yes 22.4 (15.7, 30.9) 2 (1, 48) 7 stable stable trend -0.2 (-1.7, 1.3)
Jefferson County Yes 21.6 (14.2, 31.5) 3 (1, 53) 5 stable stable trend 0.9 (-0.7, 2.5)
McKean County Yes 20.4 (13.1, 30.5) 4 (1, 55) 5
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*
Schuylkill County Yes 19.5 (15.5, 24.2) 5 (1, 42) 16 falling falling trend -1.2 (-2.1, -0.4)
Somerset County Yes 19.2 (13.8, 26.1) 6 (1, 52) 8 stable stable trend -0.6 (-1.9, 0.7)
Crawford County Yes 19.2 (14.0, 25.6) 7 (1, 51) 9 falling falling trend -1.4 (-2.4, -0.3)
Fayette County Yes 18.8 (14.6, 23.7) 8 (1, 46) 14 falling falling trend -1.1 (-1.9, -0.2)
Huntingdon County Yes 17.7 (11.2, 26.7) 9 (1, 55) 5 falling falling trend -1.5 (-2.7, -0.3)
Greene County Yes 17.5 (10.5, 27.4) 10 (1, 55) 4 falling falling trend -1.8 (-3.4, -0.1)
Luzerne County Yes 17.4 (14.8, 20.3) 11 (3, 43) 33 falling falling trend -1.3 (-1.9, -0.7)
Mercer County Yes 17.0 (12.7, 22.3) 12 (1, 54) 11 stable stable trend -0.6 (-1.4, 0.3)
Cambria County Yes 16.9 (12.9, 21.8) 13 (2, 52) 12 stable stable trend -0.9 (-1.7, 0.0)
Philadelphia County Yes 16.9 (15.7, 18.1) 14 (7, 32) 159 falling falling trend -2.8 (-3.1, -2.4)
Erie County Yes 16.7 (13.9, 19.8) 15 (3, 48) 26 falling falling trend -1.3 (-2.1, -0.6)
Carbon County Yes 16.6 (11.3, 23.6) 16 (1, 55) 6 stable stable trend -0.4 (-1.9, 1.2)
Lawrence County Yes 16.6 (11.8, 22.8) 17 (1, 55) 8 falling falling trend -1.4 (-2.5, -0.4)
Clarion County Yes 16.2 (9.4, 26.1) 18 (1, 55) 3 stable stable trend -0.2 (-1.7, 1.3)
Lackawanna County Yes 16.2 (13.1, 19.8) 19 (3, 51) 19 falling falling trend -1.4 (-2.1, -0.7)
Washington County Yes 16.2 (13.1, 19.8) 20 (4, 51) 19 falling falling trend -1.7 (-2.6, -0.8)
Union County Yes 16.2 (10.1, 24.5) 21 (1, 55) 4
*
*
Lycoming County Yes 15.9 (11.8, 20.9) 22 (2, 54) 10 falling falling trend -2.0 (-2.9, -1.0)
Beaver County Yes 15.8 (12.4, 19.9) 23 (3, 53) 14 falling falling trend -1.5 (-2.5, -0.4)
Northampton County Yes 15.7 (13.2, 18.6) 24 (5, 50) 28 falling falling trend -1.8 (-2.5, -1.1)
Warren County Yes 15.7 (9.3, 25.0) 25 (1, 55) 4 stable stable trend -1.2 (-2.8, 0.4)
Northumberland County Yes 15.5 (11.1, 21.1) 26 (2, 55) 8 falling falling trend -1.9 (-3.2, -0.5)
Westmoreland County Yes 15.4 (13.1, 18.1) 27 (7, 51) 31 falling falling trend -1.5 (-2.1, -1.0)
Armstrong County Yes 15.3 (10.2, 22.1) 28 (1, 55) 6 stable stable trend -1.0 (-2.1, 0.1)
Blair County Yes 15.3 (11.5, 20.0) 29 (3, 55) 11 falling falling trend -1.4 (-2.5, -0.3)
Delaware County Yes 15.3 (13.4, 17.3) 30 (9, 46) 51 falling falling trend -2.1 (-2.6, -1.5)
Venango County Yes 15.3 (9.4, 23.4) 31 (1, 55) 4 stable stable trend -0.9 (-2.5, 0.7)
Franklin County Yes 15.3 (11.9, 19.3) 32 (4, 54) 14 falling falling trend -1.6 (-2.3, -0.8)
Allegheny County Yes 14.8 (13.5, 16.1) 33 (16, 47) 102 falling falling trend -2.1 (-2.5, -1.8)
York County Yes 14.8 (12.8, 17.0) 34 (11, 51) 40 falling falling trend -1.4 (-2.0, -0.7)
Lancaster County Yes 14.8 (12.9, 16.8) 35 (11, 51) 45 falling falling trend -0.9 (-1.4, -0.4)
Dauphin County Yes 14.6 (12.1, 17.5) 36 (8, 53) 24 falling falling trend -2.1 (-2.7, -1.4)
Lebanon County Yes 14.6 (11.1, 18.8) 37 (4, 55) 12 falling falling trend -1.9 (-2.8, -0.9)
Berks County Yes 14.6 (12.5, 16.9) 38 (11, 51) 36 falling falling trend -1.2 (-1.9, -0.4)
Monroe County Yes 14.3 (11.1, 18.1) 39 (7, 55) 14 falling falling trend -1.3 (-2.5, -0.2)
Perry County Yes 14.2 (8.5, 22.2) 40 (1, 55) 4
*
*
Adams County Yes 14.1 (10.0, 19.2) 41 (4, 55) 8 falling falling trend -0.8 (-1.6, -0.1)
Clearfield County Yes 14.1 (9.7, 19.8) 42 (3, 55) 7 stable stable trend -1.4 (-2.9, 0.0)
Butler County Yes 13.9 (11.0, 17.4) 43 (8, 55) 16 falling falling trend -2.1 (-2.9, -1.2)
Lehigh County Yes 13.9 (11.8, 16.3) 44 (13, 54) 32 falling falling trend -1.7 (-2.5, -1.0)
Indiana County Yes 13.7 (9.3, 19.6) 45 (3, 55) 6 falling falling trend -1.7 (-2.9, -0.4)
Pike County Yes 13.4 (8.2, 20.7) 46 (3, 55) 4 falling falling trend -3.6 (-5.2, -2.0)
Wayne County Yes 13.0 (7.8, 20.5) 47 (3, 55) 4 falling falling trend -3.0 (-4.5, -1.5)
Bedford County Yes 12.9 (7.5, 20.8) 48 (2, 55) 3 stable stable trend -0.1 (-1.8, 1.6)
Cumberland County Yes 12.5 (10.1, 15.3) 49 (18, 55) 19 falling falling trend -1.6 (-2.4, -0.7)
Chester County Yes 12.4 (10.8, 14.3) 50 (28, 55) 40 falling falling trend -1.9 (-2.4, -1.4)
Bucks County Yes 12.4 (10.8, 14.1) 51 (29, 55) 47 falling falling trend -2.6 (-3.0, -2.1)
Montgomery County Yes 12.2 (10.9, 13.6) 52 (34, 55) 62 falling falling trend -2.2 (-2.5, -1.9)
Columbia County Yes 11.9 (7.6, 18.0) 53 (6, 55) 5 stable stable trend -0.2 (-1.9, 1.6)
Mifflin County Yes 11.6 (6.6, 18.9) 54 (4, 55) 3
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Centre County Yes 11.2 (8.3, 14.9) 55 (18, 55) 10 stable stable trend -1.3 (-2.6, 0.1)
Cameron County ***
*
*
3 or fewer
*
*
Clinton County ***
*
*
3 or fewer
*
*
Elk County ***
*
*
3 or fewer
*
*
Forest County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
*
*
Juniata County ***
*
*
3 or fewer
*
*
Montour County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Snyder County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Susquehanna County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/04/2022 8:02 pm.

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.

Healthy People 2030 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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