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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, All Ages

Sorted by Rate
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 ascending
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 No 157.3 (156.5, 158.1) N/A 28,120 falling falling trend -1.6 (-1.6, -1.5)
United States No 149.4 (149.3, 149.6) N/A 599,666 falling falling trend -2.0 (-2.2, -1.8)
Schuylkill County No 192.0 (183.6, 200.7) 1 (1, 6) 417 falling falling trend -0.6 (-0.8, -0.4)
Greene County No 179.8 (163.4, 197.6) 2 (1, 45) 93 falling falling trend -0.6 (-1.0, -0.2)
Fayette County No 179.6 (171.2, 188.4) 3 (1, 22) 369 falling falling trend -0.9 (-1.2, -0.6)
Sullivan County No 178.9 (144.8, 222.0) 4 (1, 66) 21 stable stable trend -0.7 (-1.7, 0.3)
Warren County No 175.4 (161.1, 191.0) 5 (1, 47) 118 falling falling trend -0.8 (-1.2, -0.4)
Philadelphia County No 175.2 (172.4, 178.1) 6 (2, 17) 3,005 falling falling trend -2.2 (-2.5, -1.9)
Perry County No 175.1 (160.3, 191.0) 7 (1, 49) 110 falling falling trend -0.7 (-1.1, -0.4)
Northumberland County No 173.2 (163.5, 183.4) 8 (2, 38) 253 falling falling trend -1.1 (-1.3, -0.8)
Lackawanna County No 172.2 (165.5, 179.0) 9 (2, 31) 542 falling falling trend -0.9 (-1.1, -0.7)
Fulton County No 171.0 (147.6, 197.7) 10 (1, 64) 40 stable stable trend -0.4 (-1.3, 0.6)
Potter County No 171.0 (148.8, 196.1) 11 (1, 64) 48 falling falling trend -0.8 (-1.5, -0.2)
Mifflin County No 170.6 (157.4, 184.8) 12 (1, 52) 128 falling falling trend -0.5 (-0.9, -0.1)
Washington County No 170.6 (164.0, 177.3) 13 (3, 33) 545 falling falling trend -1.0 (-1.2, -0.8)
Lycoming County No 170.3 (161.3, 179.7) 14 (2, 42) 283 falling falling trend -0.7 (-1.0, -0.5)
Lawrence County No 169.1 (159.3, 179.4) 15 (2, 48) 240 falling falling trend -0.9 (-1.2, -0.7)
Elk County No 169.0 (153.1, 186.4) 16 (1, 57) 88 falling falling trend -1.0 (-1.4, -0.7)
Cambria County No 168.6 (160.7, 176.9) 17 (3, 42) 371 falling falling trend -0.9 (-1.1, -0.7)
Jefferson County No 168.6 (154.6, 183.7) 18 (1, 55) 114 falling falling trend -0.6 (-0.9, -0.3)
Mercer County No 168.4 (159.7, 177.5) 19 (3, 44) 303 falling falling trend -0.8 (-1.0, -0.5)
Clarion County No 167.8 (152.7, 184.2) 20 (1, 59) 95 falling falling trend -0.6 (-1.2, -0.1)
Erie County No 167.8 (161.8, 174.0) 21 (5, 38) 623 falling falling trend -1.0 (-1.1, -0.8)
Clearfield County No 167.7 (157.4, 178.6) 22 (2, 49) 206 falling falling trend -0.7 (-0.9, -0.4)
Crawford County No 165.7 (155.6, 176.5) 23 (3, 53) 212 falling falling trend -1.3 (-1.8, -0.8)
Wyoming County No 165.1 (147.6, 184.4) 24 (1, 63) 69 falling falling trend -0.7 (-1.2, -0.2)
McKean County No 165.0 (150.4, 180.8) 25 (2, 61) 100 falling falling trend -1.2 (-1.7, -0.8)
Luzerne County No 164.0 (158.8, 169.4) 26 (11, 44) 784 falling falling trend -1.0 (-1.1, -0.8)
Venango County No 162.3 (150.0, 175.5) 27 (3, 59) 140 falling falling trend -1.0 (-1.3, -0.6)
York County No 162.0 (157.4, 166.7) 28 (14, 45) 971 falling falling trend -1.0 (-1.2, -0.9)
Tioga County No 161.7 (147.7, 177.0) 29 (2, 62) 105 falling falling trend -0.9 (-1.4, -0.4)
Carbon County No 161.1 (149.9, 173.1) 30 (5, 59) 162 falling falling trend -1.0 (-1.4, -0.6)
Susquehanna County No 159.4 (146.1, 173.9) 31 (4, 63) 112 falling falling trend -1.3 (-1.7, -0.9)
Allegheny County No 159.3 (156.6, 162.0) 32 (23, 46) 2,816 falling falling trend -1.8 (-2.0, -1.7)
Armstrong County No 159.1 (148.4, 170.6) 33 (6, 60) 174 falling falling trend -1.1 (-1.5, -0.7)
Blair County No 159.1 (150.9, 167.6) 34 (11, 56) 302 falling falling trend -1.8 (-2.2, -1.3)
Westmoreland County No 158.5 (153.8, 163.3) 35 (20, 51) 943 falling falling trend -1.1 (-1.2, -1.0)
Beaver County No 158.2 (151.3, 165.4) 36 (15, 54) 422 falling falling trend -1.3 (-1.4, -1.1)
Delaware County No 157.4 (153.2, 161.6) 37 (24, 52) 1,155 falling falling trend -2.6 (-3.3, -1.9)
Lebanon County No 157.3 (149.6, 165.4) 38 (15, 57) 324 falling falling trend -1.0 (-1.2, -0.7)
Monroe County No 157.0 (149.5, 164.7) 39 (15, 57) 353 falling falling trend -2.0 (-2.5, -1.5)
Franklin County No 156.9 (149.6, 164.6) 40 (16, 57) 356 falling falling trend -1.0 (-1.2, -0.8)
Cameron County No 156.4 (118.3, 206.2) 41 (1, 67) 14 falling falling trend -1.5 (-2.9, -0.2)
Huntingdon County No 156.1 (142.8, 170.4) 42 (5, 64) 107 falling falling trend -0.8 (-1.2, -0.4)
Butler County No 156.0 (149.3, 163.0) 43 (20, 56) 426 falling falling trend -1.1 (-1.3, -0.9)
Northampton County No 155.2 (149.9, 160.7) 44 (25, 55) 684 falling falling trend -1.1 (-1.3, -1.0)
Berks County No 154.3 (149.6, 159.1) 45 (27, 55) 859 falling falling trend -1.1 (-1.3, -1.0)
Forest County No 154.1 (122.3, 202.7) 46 (1, 67) 17 falling falling trend -1.3 (-2.3, -0.2)
Montour County No 154.0 (133.7, 176.9) 47 (2, 66) 45 falling falling trend -1.0 (-1.7, -0.2)
Clinton County No 153.6 (139.0, 169.6) 48 (6, 66) 84 falling falling trend -5.4 (-9.4, -1.2)
Columbia County No 153.5 (142.4, 165.4) 49 (11, 64) 148 falling falling trend -0.8 (-1.2, -0.4)
Bradford County No 153.3 (141.9, 165.5) 50 (10, 64) 144 falling falling trend -0.7 (-1.1, -0.3)
Wayne County No 153.1 (141.4, 165.7) 51 (11, 64) 135 falling falling trend -2.3 (-3.1, -1.6)
Dauphin County No 151.7 (146.0, 157.7) 52 (28, 61) 544 falling falling trend -1.5 (-1.6, -1.3)
Juniata County No 151.1 (133.6, 170.4) 53 (4, 66) 57 falling falling trend -1.0 (-1.5, -0.4)
Somerset County No 149.4 (139.5, 160.0) 54 (20, 65) 182 falling falling trend -0.8 (-1.1, -0.5)
Lehigh County No 149.1 (144.2, 154.2) 55 (38, 62) 708 falling falling trend -1.2 (-1.3, -1.0)
Bedford County No 147.2 (135.3, 160.1) 56 (19, 66) 120 falling falling trend -0.9 (-1.5, -0.3)
Lancaster County No 144.9 (140.9, 148.9) 57 (47, 64) 1,085 falling falling trend -1.3 (-1.5, -1.2)
Bucks County No 144.8 (141.3, 148.5) 58 (48, 63) 1,318 falling falling trend -1.7 (-1.8, -1.5)
Adams County No 143.7 (135.1, 152.7) 59 (36, 66) 221 falling falling trend -1.2 (-1.5, -0.9)
Cumberland County No 142.7 (137.0, 148.5) 60 (48, 65) 504 falling falling trend -1.3 (-1.5, -1.1)
Montgomery County No 142.3 (139.2, 145.5) 61 (52, 65) 1,641 falling falling trend -1.7 (-1.9, -1.5)
Snyder County No 140.8 (127.3, 155.4) 62 (28, 67) 83 falling falling trend -1.5 (-1.9, -1.1)
Indiana County No 140.6 (131.1, 150.7) 63 (39, 66) 172 falling falling trend -1.4 (-1.6, -1.1)
Pike County No 138.4 (127.6, 150.2) 64 (39, 67) 128 falling falling trend -1.6 (-2.2, -1.1)
Chester County No 134.2 (130.2, 138.3) 65 (60, 66) 888 falling falling trend -1.7 (-1.9, -1.6)
Union County No 130.7 (118.0, 144.6) 66 (48, 67) 81 falling falling trend -1.0 (-1.4, -0.6)
Centre County Yes 119.5 (112.3, 127.0) 67 (65, 67) 213 falling falling trend -1.8 (-2.0, -1.5)
Notes:
Created by statecancerprofiles.cancer.gov on 11/27/2022 11:25 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.



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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