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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), Male, All Ages

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 No 187.7 (186.3, 189.1) N/A 14,598 falling falling trend -1.8 (-1.9, -1.7)
United States No 177.5 (177.2, 177.8) N/A 315,770 falling falling trend -2.2 (-2.5, -2.0)
Schuylkill County No 232.1 (218.4, 246.5) 1 (1, 12) 224 falling falling trend -1.0 (-1.3, -0.7)
Fulton County No 223.9 (185.1, 269.7) 2 (1, 60) 24 stable stable trend -0.7 (-1.9, 0.5)
Mifflin County No 220.3 (198.1, 244.6) 3 (1, 40) 73 stable stable trend -0.4 (-1.0, 0.1)
Fayette County No 219.6 (205.7, 234.3) 4 (1, 26) 198 falling falling trend -1.2 (-1.5, -0.8)
Perry County No 219.0 (193.9, 246.6) 5 (1, 50) 61 falling falling trend -0.9 (-1.4, -0.5)
Greene County No 211.7 (185.5, 240.8) 6 (1, 55) 50 falling falling trend -1.2 (-1.7, -0.6)
Lackawanna County No 211.1 (200.0, 222.8) 7 (2, 29) 282 falling falling trend -1.2 (-1.5, -0.9)
Warren County No 210.0 (187.3, 235.2) 8 (1, 50) 65 falling falling trend -1.2 (-1.7, -0.7)
Lycoming County No 209.5 (194.6, 225.3) 9 (1, 40) 154 falling falling trend -1.0 (-1.4, -0.7)
Philadelphia County No 209.2 (204.3, 214.2) 10 (5, 23) 1,460 falling falling trend -2.4 (-2.6, -2.2)
Northumberland County No 209.2 (193.4, 226.1) 11 (1, 41) 135 falling falling trend -1.5 (-2.0, -1.1)
Venango County No 209.0 (188.4, 231.5) 12 (1, 48) 80 falling falling trend -1.1 (-1.5, -0.6)
Sullivan County No 208.8 (155.8, 280.1) 13 (1, 67) 12 stable stable trend -0.8 (-2.0, 0.5)
Potter County No 208.6 (174.3, 248.8) 14 (1, 64) 28 falling falling trend -1.0 (-1.6, -0.4)
Jefferson County No 208.3 (185.5, 233.4) 15 (1, 54) 64 falling falling trend -0.6 (-1.1, -0.1)
Lawrence County No 208.2 (192.0, 225.6) 16 (1, 43) 128 falling falling trend -1.4 (-1.6, -1.1)
Armstrong County No 208.1 (190.0, 227.8) 17 (1, 47) 102 falling falling trend -1.4 (-1.8, -0.9)
Blair County No 207.3 (193.3, 222.2) 18 (2, 39) 168 falling falling trend -1.2 (-1.5, -0.9)
Mercer County No 206.1 (191.8, 221.3) 19 (2, 41) 162 falling falling trend -1.1 (-1.4, -0.7)
Elk County No 206.0 (179.8, 235.6) 20 (1, 61) 47 falling falling trend -1.2 (-1.7, -0.7)
Clearfield County No 202.8 (186.0, 220.7) 21 (2, 49) 112 falling falling trend -1.0 (-1.5, -0.6)
Cambria County No 202.1 (189.2, 215.8) 22 (3, 45) 193 falling falling trend -1.3 (-1.6, -1.0)
Washington County No 198.3 (187.8, 209.3) 23 (6, 45) 279 falling falling trend -1.4 (-1.6, -1.2)
Luzerne County No 197.5 (188.8, 206.5) 24 (10, 43) 405 falling falling trend -1.3 (-1.6, -1.1)
Beaver County No 197.4 (185.8, 209.6) 25 (7, 47) 226 falling falling trend -1.5 (-1.7, -1.2)
Erie County No 196.3 (186.6, 206.4) 26 (10, 45) 323 falling falling trend -1.3 (-1.6, -1.1)
York County No 194.9 (187.3, 202.7) 27 (14, 43) 519 falling falling trend -1.2 (-1.5, -1.0)
Allegheny County No 193.0 (188.4, 197.6) 28 (18, 42) 1,432 falling falling trend -1.7 (-1.8, -1.7)
Lebanon County No 192.4 (179.6, 205.9) 29 (9, 56) 174 falling falling trend -1.3 (-1.7, -1.0)
Montour County No 192.2 (158.1, 232.2) 30 (1, 67) 23 falling falling trend -1.3 (-2.2, -0.3)
Clarion County No 191.8 (168.4, 217.9) 31 (2, 65) 50 falling falling trend -0.9 (-1.6, -0.1)
Franklin County No 191.6 (179.6, 204.3) 32 (9, 54) 194 falling falling trend -1.0 (-1.3, -0.7)
Tioga County No 190.5 (168.7, 214.7) 33 (3, 64) 59 falling falling trend -1.3 (-2.0, -0.6)
Westmoreland County No 190.1 (182.5, 198.0) 34 (18, 49) 493 falling falling trend -1.3 (-1.5, -1.2)
Susquehanna County No 189.8 (168.9, 213.0) 35 (3, 64) 64 falling falling trend -1.7 (-2.3, -1.1)
Butler County No 188.2 (177.1, 199.8) 36 (13, 57) 227 falling falling trend -1.3 (-1.5, -1.0)
Clinton County No 185.3 (161.8, 211.5) 37 (4, 66) 46 falling falling trend -1.8 (-2.4, -1.3)
Dauphin County No 184.6 (174.9, 194.8) 38 (20, 57) 284 falling falling trend -1.7 (-1.9, -1.5)
Carbon County No 184.3 (166.6, 203.6) 39 (8, 64) 84 falling falling trend -2.7 (-3.7, -1.7)
Berks County No 184.2 (176.6, 192.1) 40 (24, 55) 453 falling falling trend -1.3 (-1.5, -1.1)
McKean County No 182.4 (160.0, 207.2) 41 (5, 66) 50 falling falling trend -1.5 (-2.1, -1.0)
Columbia County No 181.8 (163.8, 201.4) 42 (9, 65) 78 falling falling trend -1.2 (-1.7, -0.7)
Crawford County No 181.3 (165.7, 198.1) 43 (14, 64) 107 falling falling trend -1.2 (-1.7, -0.8)
Juniata County No 181.2 (153.6, 212.8) 44 (3, 67) 32 falling falling trend -1.3 (-2.0, -0.7)
Monroe County No 180.5 (168.7, 193.0) 45 (20, 62) 189 falling falling trend -1.8 (-2.1, -1.5)
Lehigh County No 180.4 (172.1, 189.0) 46 (29, 60) 366 falling falling trend -1.4 (-1.6, -1.2)
Wayne County No 180.4 (162.2, 200.4) 47 (12, 65) 77 falling falling trend -1.7 (-2.2, -1.2)
Delaware County No 178.4 (171.6, 185.4) 48 (33, 60) 550 falling falling trend -3.4 (-4.2, -2.5)
Northampton County No 178.0 (169.5, 186.9) 49 (29, 61) 342 falling falling trend -1.5 (-1.7, -1.3)
Bedford County No 177.6 (158.3, 199.0) 50 (10, 66) 65 falling falling trend -1.1 (-1.9, -0.4)
Huntingdon County No 176.1 (155.8, 198.6) 51 (11, 66) 57 falling falling trend -1.9 (-2.5, -1.3)
Somerset County No 175.2 (159.6, 192.1) 52 (21, 65) 97 falling falling trend -1.2 (-1.5, -0.8)
Adams County No 174.1 (160.3, 189.0) 53 (25, 65) 122 falling falling trend -1.5 (-1.9, -1.1)
Bucks County No 173.3 (167.4, 179.3) 54 (40, 62) 692 falling falling trend -1.9 (-2.1, -1.7)
Lancaster County No 171.2 (164.9, 177.7) 55 (42, 64) 570 falling falling trend -1.5 (-1.7, -1.3)
Wyoming County No 170.8 (145.1, 200.3) 56 (8, 67) 34 falling falling trend -1.3 (-2.0, -0.5)
Bradford County No 170.8 (153.6, 189.7) 57 (20, 66) 76 falling falling trend -1.4 (-1.9, -1.0)
Cumberland County No 170.6 (161.4, 180.3) 58 (37, 64) 262 falling falling trend -1.7 (-2.0, -1.4)
Montgomery County No 168.9 (163.8, 174.3) 59 (47, 64) 832 falling falling trend -1.7 (-1.9, -1.5)
Union County No 168.8 (147.5, 192.5) 60 (16, 67) 46 falling falling trend -0.9 (-1.6, -0.2)
Cameron County No 166.8 (112.0, 245.7) 61 (1, 67) 7 falling falling trend -2.1 (-3.5, -0.7)
Pike County No 165.5 (148.7, 184.1) 62 (29, 67) 75 falling falling trend -1.9 (-2.4, -1.3)
Snyder County No 165.4 (143.6, 189.7) 63 (19, 67) 43 falling falling trend -2.0 (-2.5, -1.4)
Indiana County No 159.1 (144.2, 175.2) 64 (40, 67) 88 falling falling trend -1.6 (-2.1, -1.2)
Chester County No 156.1 (149.6, 162.8) 65 (58, 66) 457 falling falling trend -2.1 (-2.4, -1.9)
Centre County No 140.4 (128.8, 152.6) 66 (61, 67) 114 falling falling trend -1.8 (-2.3, -1.4)
Forest County No 136.6 (98.0, 210.7) 67 (4, 67) 9 falling falling trend -2.3 (-3.7, -0.9)
Notes:
Created by statecancerprofiles.cancer.gov on 12/02/2022 11:39 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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