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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), Female, 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 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 No 135.9 (134.8, 136.9) N/A 13,521 falling falling trend -1.5 (-1.6, -1.4)
United States No 128.7 (128.5, 129.0) N/A 283,896 falling falling trend -1.9 (-2.2, -1.7)
Centre County Yes 103.0 (93.9, 112.9) 67 (61, 67) 99 falling falling trend -1.8 (-2.2, -1.5)
Union County Yes 104.1 (88.2, 122.5) 66 (42, 67) 35 falling falling trend -1.3 (-2.0, -0.6)
Pike County Yes 114.0 (100.1, 129.6) 65 (29, 67) 54 falling falling trend -1.5 (-2.2, -0.8)
Chester County Yes 118.2 (113.1, 123.5) 64 (49, 66) 431 falling falling trend -3.0 (-4.3, -1.7)
Adams County Yes 120.5 (109.7, 132.3) 63 (29, 66) 99 falling falling trend -1.2 (-1.7, -0.6)
Armstrong County Yes 121.7 (108.9, 136.0) 62 (21, 67) 72 falling falling trend -0.9 (-1.5, -0.3)
Bedford County Yes 122.0 (107.6, 138.2) 61 (16, 67) 55 falling falling trend -0.8 (-1.4, -0.2)
Snyder County Yes 122.6 (105.8, 141.7) 60 (11, 67) 40 falling falling trend -1.2 (-1.8, -0.7)
Fulton County No 123.4 (97.1, 156.4) 59 (2, 67) 15 stable stable trend -0.1 (-1.3, 1.0)
Cumberland County No 123.5 (116.3, 131.0) 58 (35, 65) 241 falling falling trend -1.0 (-1.3, -0.7)
Bucks County No 124.2 (119.7, 128.8) 57 (40, 64) 626 falling falling trend -1.6 (-1.8, -1.4)
Montgomery County No 124.7 (120.7, 128.8) 56 (41, 63) 808 falling falling trend -1.4 (-1.5, -1.2)
Juniata County No 124.8 (103.0, 150.5) 55 (4, 67) 25 stable stable trend -0.8 (-1.6, 0.0)
Lancaster County No 125.5 (120.5, 130.6) 54 (38, 63) 515 falling falling trend -1.3 (-1.5, -1.0)
Blair County No 126.2 (116.2, 136.8) 53 (23, 65) 134 falling falling trend -1.1 (-1.5, -0.7)
Lehigh County No 127.7 (121.5, 134.1) 52 (31, 63) 342 falling falling trend -1.1 (-1.3, -0.9)
Indiana County No 127.8 (115.1, 141.6) 51 (12, 66) 83 falling falling trend -1.2 (-1.6, -0.8)
Venango County No 128.2 (113.1, 145.2) 50 (7, 66) 60 falling falling trend -1.0 (-1.7, -0.4)
Clinton County No 129.8 (111.3, 150.9) 49 (4, 67) 38 falling falling trend -1.4 (-2.1, -0.7)
Somerset County No 130.0 (117.1, 144.2) 48 (10, 65) 85 falling falling trend -0.6 (-1.0, -0.2)
Dauphin County No 130.2 (122.9, 137.7) 47 (22, 62) 260 falling falling trend -1.3 (-1.5, -1.1)
Franklin County No 130.2 (121.0, 139.9) 46 (18, 64) 162 falling falling trend -1.1 (-1.5, -0.8)
Butler County No 131.6 (123.3, 140.5) 45 (17, 62) 198 falling falling trend -1.1 (-1.5, -0.8)
Wayne County No 131.6 (116.2, 149.0) 44 (5, 65) 59 falling falling trend -1.4 (-2.1, -0.8)
Beaver County No 131.7 (123.1, 140.8) 43 (16, 62) 195 falling falling trend -1.9 (-2.7, -1.0)
Columbia County No 132.3 (118.4, 147.7) 42 (7, 65) 70 falling falling trend -0.6 (-1.0, -0.1)
Lebanon County No 132.3 (122.6, 142.7) 41 (13, 62) 150 falling falling trend -0.8 (-1.1, -0.4)
Berks County No 132.5 (126.6, 138.7) 40 (21, 58) 406 falling falling trend -1.1 (-1.3, -0.9)
Susquehanna County No 132.7 (115.9, 151.9) 39 (3, 66) 48 falling falling trend -1.0 (-1.6, -0.4)
Mifflin County No 135.6 (119.3, 153.8) 38 (3, 65) 55 falling falling trend -0.7 (-1.2, -0.1)
Westmoreland County No 136.2 (130.3, 142.3) 37 (17, 53) 450 falling falling trend -0.9 (-1.1, -0.7)
Allegheny County No 136.9 (133.6, 140.4) 36 (20, 44) 1,384 falling falling trend -1.8 (-2.1, -1.6)
Tioga County No 137.1 (119.0, 157.5) 35 (2, 65) 46 falling falling trend -0.7 (-1.4, -0.1)
Monroe County No 137.4 (128.0, 147.5) 34 (8, 58) 164 stable stable trend -1.0 (-1.9, 0.0)
Montour County No 138.0 (111.8, 169.4) 33 (1, 67) 22 stable stable trend -0.7 (-1.7, 0.4)
Bradford County No 138.0 (123.0, 154.7) 32 (3, 64) 68 stable stable trend -0.1 (-0.7, 0.5)
York County No 138.2 (132.4, 144.2) 31 (14, 49) 453 falling falling trend -1.0 (-1.2, -0.8)
Jefferson County No 138.6 (121.0, 158.3) 30 (2, 65) 50 stable stable trend -0.6 (-1.2, 0.0)
Potter County No 139.2 (110.6, 174.0) 29 (1, 67) 20 stable stable trend -0.9 (-1.9, 0.0)
Northampton County No 139.9 (133.1, 147.1) 28 (10, 49) 342 falling falling trend -0.9 (-1.1, -0.6)
Lawrence County No 140.5 (128.4, 153.6) 27 (4, 59) 112 falling falling trend -0.7 (-1.0, -0.3)
Mercer County No 141.0 (130.2, 152.6) 26 (4, 57) 141 falling falling trend -0.6 (-1.0, -0.2)
Clearfield County No 141.1 (128.1, 155.2) 25 (3, 60) 94 falling falling trend -0.5 (-0.8, -0.1)
Lycoming County No 141.4 (130.3, 153.4) 24 (4, 55) 129 falling falling trend -0.6 (-1.0, -0.2)
Huntingdon County No 141.6 (123.5, 161.9) 23 (1, 64) 50 falling falling trend -0.7 (-1.3, -0.1)
Luzerne County No 142.4 (135.7, 149.3) 22 (8, 45) 379 falling falling trend -0.8 (-1.0, -0.6)
Elk County No 142.8 (123.1, 165.6) 21 (1, 65) 41 falling falling trend -1.1 (-1.9, -0.4)
Carbon County No 143.4 (128.9, 159.3) 20 (2, 60) 78 falling falling trend -0.8 (-1.3, -0.2)
Delaware County No 143.6 (138.3, 149.1) 19 (8, 37) 605 falling falling trend -1.2 (-1.3, -1.0)
Perry County No 144.9 (126.7, 165.3) 18 (1, 62) 48 stable stable trend -0.5 (-1.2, 0.2)
Lackawanna County No 145.1 (136.9, 153.7) 17 (4, 42) 260 falling falling trend -0.9 (-1.2, -0.6)
Warren County No 145.6 (127.6, 165.8) 16 (1, 62) 52 falling falling trend -0.6 (-1.2, -0.1)
Cambria County No 145.6 (135.5, 156.4) 15 (3, 47) 179 falling falling trend -0.7 (-1.0, -0.4)
Northumberland County No 146.4 (134.3, 159.6) 14 (2, 50) 118 falling falling trend -0.8 (-1.1, -0.4)
Erie County No 146.8 (139.1, 154.7) 13 (4, 38) 300 falling falling trend -0.7 (-1.0, -0.5)
Cameron County No 147.7 (95.4, 226.1) 12 (1, 67) 7
*
*
Fayette County No 149.0 (138.6, 160.0) 11 (2, 40) 171 falling falling trend -0.8 (-1.1, -0.5)
Washington County No 150.4 (142.0, 159.1) 10 (2, 32) 265 falling falling trend -0.7 (-0.9, -0.4)
Clarion County No 151.8 (131.8, 174.3) 9 (1, 58) 45 stable stable trend -0.5 (-1.2, 0.2)
McKean County No 152.6 (133.3, 174.4) 8 (1, 56) 49 falling falling trend -1.1 (-1.7, -0.5)
Crawford County No 153.6 (140.3, 168.1) 7 (1, 42) 105 stable stable trend -0.3 (-0.7, 0.1)
Philadelphia County No 153.7 (150.2, 157.3) 6 (2, 17) 1,544 falling falling trend -2.0 (-2.4, -1.6)
Sullivan County No 154.8 (112.5, 218.1) 5 (1, 67) 10 stable stable trend -0.7 (-2.2, 0.9)
Greene County No 159.4 (137.8, 183.8) 4 (1, 55) 43 stable stable trend 0.0 (-0.7, 0.6)
Wyoming County No 160.5 (136.7, 187.9) 3 (1, 54) 35 stable stable trend -0.3 (-1.1, 0.5)
Schuylkill County No 162.9 (152.3, 174.3) 2 (1, 17) 192 falling falling trend -0.3 (-0.6, -0.1)
Forest County No 183.5 (126.7, 289.3) 1 (1, 67) 9 stable stable trend -0.4 (-1.9, 1.1)
Notes:
Created by statecancerprofiles.cancer.gov on 05/17/2024 7:45 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.
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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