Death Rates Table
County
|
Met Healthy People Objective of 122.7? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) 
|
CI*Rank⋔ (95% Confidence Interval) 
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval)
|
|---|---|---|---|---|---|---|
| Pennsylvania | No | 157.3 (156.5, 158.1) | N/A | 28,120 |
falling 
|
-1.6 (-1.6, -1.5) |
| United States | No | 149.4 (149.3, 149.6) | N/A | 599,666 |
falling
|
-2.0 (-2.2, -1.8) |
| Centre County | Yes | 119.5 (112.3, 127.0) | 67 (65, 67) | 213 |
falling
|
-1.8 (-2.0, -1.5) |
| Union County | No | 130.7 (118.0, 144.6) | 66 (48, 67) | 81 |
falling
|
-1.0 (-1.4, -0.6) |
| Chester County | No | 134.2 (130.2, 138.3) | 65 (60, 66) | 888 |
falling
|
-1.7 (-1.9, -1.6) |
| Pike County | No | 138.4 (127.6, 150.2) | 64 (39, 67) | 128 |
falling
|
-1.6 (-2.2, -1.1) |
| Indiana County | No | 140.6 (131.1, 150.7) | 63 (39, 66) | 172 |
falling
|
-1.4 (-1.6, -1.1) |
| Snyder County | No | 140.8 (127.3, 155.4) | 62 (28, 67) | 83 |
falling
|
-1.5 (-1.9, -1.1) |
| Montgomery County | No | 142.3 (139.2, 145.5) | 61 (52, 65) | 1,641 |
falling
|
-1.7 (-1.9, -1.5) |
| Cumberland County | No | 142.7 (137.0, 148.5) | 60 (48, 65) | 504 |
falling
|
-1.3 (-1.5, -1.1) |
| Adams County | No | 143.7 (135.1, 152.7) | 59 (36, 66) | 221 |
falling
|
-1.2 (-1.5, -0.9) |
| Bucks County | No | 144.8 (141.3, 148.5) | 58 (48, 63) | 1,318 |
falling
|
-1.7 (-1.8, -1.5) |
| Lancaster County | No | 144.9 (140.9, 148.9) | 57 (47, 64) | 1,085 |
falling
|
-1.3 (-1.5, -1.2) |
| Bedford County | No | 147.2 (135.3, 160.1) | 56 (19, 66) | 120 |
falling
|
-0.9 (-1.5, -0.3) |
| Lehigh County | No | 149.1 (144.2, 154.2) | 55 (38, 62) | 708 |
falling
|
-1.2 (-1.3, -1.0) |
| Somerset County | No | 149.4 (139.5, 160.0) | 54 (20, 65) | 182 |
falling
|
-0.8 (-1.1, -0.5) |
| Juniata County | No | 151.1 (133.6, 170.4) | 53 (4, 66) | 57 |
falling
|
-1.0 (-1.5, -0.4) |
| Dauphin County | No | 151.7 (146.0, 157.7) | 52 (28, 61) | 544 |
falling
|
-1.5 (-1.6, -1.3) |
| Wayne County | No | 153.1 (141.4, 165.7) | 51 (11, 64) | 135 |
falling
|
-2.3 (-3.1, -1.6) |
| Bradford County | No | 153.3 (141.9, 165.5) | 50 (10, 64) | 144 |
falling
|
-0.7 (-1.1, -0.3) |
| Columbia County | No | 153.5 (142.4, 165.4) | 49 (11, 64) | 148 |
falling
|
-0.8 (-1.2, -0.4) |
| Clinton County | No | 153.6 (139.0, 169.6) | 48 (6, 66) | 84 |
falling
|
-5.4 (-9.4, -1.2) |
| Montour County | No | 154.0 (133.7, 176.9) | 47 (2, 66) | 45 |
falling
|
-1.0 (-1.7, -0.2) |
| Forest County | No | 154.1 (122.3, 202.7) | 46 (1, 67) | 17 |
falling
|
-1.3 (-2.3, -0.2) |
| Berks County | No | 154.3 (149.6, 159.1) | 45 (27, 55) | 859 |
falling
|
-1.1 (-1.3, -1.0) |
| Northampton County | No | 155.2 (149.9, 160.7) | 44 (25, 55) | 684 |
falling
|
-1.1 (-1.3, -1.0) |
| Butler County | No | 156.0 (149.3, 163.0) | 43 (20, 56) | 426 |
falling
|
-1.1 (-1.3, -0.9) |
| Huntingdon County | No | 156.1 (142.8, 170.4) | 42 (5, 64) | 107 |
falling
|
-0.8 (-1.2, -0.4) |
| Cameron County | No | 156.4 (118.3, 206.2) | 41 (1, 67) | 14 |
falling
|
-1.5 (-2.9, -0.2) |
| Franklin County | No | 156.9 (149.6, 164.6) | 40 (16, 57) | 356 |
falling
|
-1.0 (-1.2, -0.8) |
| Monroe County | No | 157.0 (149.5, 164.7) | 39 (15, 57) | 353 |
falling
|
-2.0 (-2.5, -1.5) |
| Lebanon County | No | 157.3 (149.6, 165.4) | 38 (15, 57) | 324 |
falling
|
-1.0 (-1.2, -0.7) |
| Delaware County | No | 157.4 (153.2, 161.6) | 37 (24, 52) | 1,155 |
falling
|
-2.6 (-3.3, -1.9) |
| Beaver County | No | 158.2 (151.3, 165.4) | 36 (15, 54) | 422 |
falling
|
-1.3 (-1.4, -1.1) |
| Westmoreland County | No | 158.5 (153.8, 163.3) | 35 (20, 51) | 943 |
falling
|
-1.1 (-1.2, -1.0) |
| Blair County | No | 159.1 (150.9, 167.6) | 34 (11, 56) | 302 |
falling
|
-1.8 (-2.2, -1.3) |
| Armstrong County | No | 159.1 (148.4, 170.6) | 33 (6, 60) | 174 |
falling
|
-1.1 (-1.5, -0.7) |
| Allegheny County | No | 159.3 (156.6, 162.0) | 32 (23, 46) | 2,816 |
falling
|
-1.8 (-2.0, -1.7) |
| Susquehanna County | No | 159.4 (146.1, 173.9) | 31 (4, 63) | 112 |
falling
|
-1.3 (-1.7, -0.9) |
| Carbon County | No | 161.1 (149.9, 173.1) | 30 (5, 59) | 162 |
falling
|
-1.0 (-1.4, -0.6) |
| Tioga County | No | 161.7 (147.7, 177.0) | 29 (2, 62) | 105 |
falling
|
-0.9 (-1.4, -0.4) |
| York County | No | 162.0 (157.4, 166.7) | 28 (14, 45) | 971 |
falling
|
-1.0 (-1.2, -0.9) |
| Venango County | No | 162.3 (150.0, 175.5) | 27 (3, 59) | 140 |
falling
|
-1.0 (-1.3, -0.6) |
| Luzerne County | No | 164.0 (158.8, 169.4) | 26 (11, 44) | 784 |
falling
|
-1.0 (-1.1, -0.8) |
| McKean County | No | 165.0 (150.4, 180.8) | 25 (2, 61) | 100 |
falling
|
-1.2 (-1.7, -0.8) |
| Wyoming County | No | 165.1 (147.6, 184.4) | 24 (1, 63) | 69 |
falling
|
-0.7 (-1.2, -0.2) |
| Crawford County | No | 165.7 (155.6, 176.5) | 23 (3, 53) | 212 |
falling
|
-1.3 (-1.8, -0.8) |
| Clearfield County | No | 167.7 (157.4, 178.6) | 22 (2, 49) | 206 |
falling
|
-0.7 (-0.9, -0.4) |
| Erie County | No | 167.8 (161.8, 174.0) | 21 (5, 38) | 623 |
falling
|
-1.0 (-1.1, -0.8) |
| Clarion County | No | 167.8 (152.7, 184.2) | 20 (1, 59) | 95 |
falling
|
-0.6 (-1.2, -0.1) |
| Mercer County | No | 168.4 (159.7, 177.5) | 19 (3, 44) | 303 |
falling
|
-0.8 (-1.0, -0.5) |
| Jefferson County | No | 168.6 (154.6, 183.7) | 18 (1, 55) | 114 |
falling
|
-0.6 (-0.9, -0.3) |
| Cambria County | No | 168.6 (160.7, 176.9) | 17 (3, 42) | 371 |
falling
|
-0.9 (-1.1, -0.7) |
| Elk County | No | 169.0 (153.1, 186.4) | 16 (1, 57) | 88 |
falling
|
-1.0 (-1.4, -0.7) |
| Lawrence County | No | 169.1 (159.3, 179.4) | 15 (2, 48) | 240 |
falling
|
-0.9 (-1.2, -0.7) |
| Lycoming County | No | 170.3 (161.3, 179.7) | 14 (2, 42) | 283 |
falling
|
-0.7 (-1.0, -0.5) |
| Washington County | No | 170.6 (164.0, 177.3) | 13 (3, 33) | 545 |
falling
|
-1.0 (-1.2, -0.8) |
| Mifflin County | No | 170.6 (157.4, 184.8) | 12 (1, 52) | 128 |
falling
|
-0.5 (-0.9, -0.1) |
| Potter County | No | 171.0 (148.8, 196.1) | 11 (1, 64) | 48 |
falling
|
-0.8 (-1.5, -0.2) |
| Fulton County | No | 171.0 (147.6, 197.7) | 10 (1, 64) | 40 |
stable 
|
-0.4 (-1.3, 0.6) |
| Lackawanna County | No | 172.2 (165.5, 179.0) | 9 (2, 31) | 542 |
falling
|
-0.9 (-1.1, -0.7) |
| Northumberland County | No | 173.2 (163.5, 183.4) | 8 (2, 38) | 253 |
falling
|
-1.1 (-1.3, -0.8) |
| Perry County | No | 175.1 (160.3, 191.0) | 7 (1, 49) | 110 |
falling
|
-0.7 (-1.1, -0.4) |
| Philadelphia County | No | 175.2 (172.4, 178.1) | 6 (2, 17) | 3,005 |
falling
|
-2.2 (-2.5, -1.9) |
| Warren County | No | 175.4 (161.1, 191.0) | 5 (1, 47) | 118 |
falling
|
-0.8 (-1.2, -0.4) |
| Sullivan County | No | 178.9 (144.8, 222.0) | 4 (1, 66) | 21 |
stable
|
-0.7 (-1.7, 0.3) |
| Fayette County | No | 179.6 (171.2, 188.4) | 3 (1, 22) | 369 |
falling
|
-0.9 (-1.2, -0.6) |
| Greene County | No | 179.8 (163.4, 197.6) | 2 (1, 45) | 93 |
falling
|
-0.6 (-1.0, -0.2) |
| Schuylkill County | No | 192.0 (183.6, 200.7) | 1 (1, 6) | 417 |
falling
|
-0.6 (-0.8, -0.4) |
Notes:
Created by statecancerprofiles.cancer.gov on 03/20/2023 7:34 pm.
State Cancer Registries may provide more current or more local data.
† 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.
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.
Created by statecancerprofiles.cancer.gov on 03/20/2023 7:34 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.
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.
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.