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Death Rates Table

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Death Rate Report for Pennsylvania by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate 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 Yes 145.0 (143.9, 146.1) 13,817 falling falling trend -1.3 (-1.5, -1.2)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Fulton County No 177.5 (143.4, 218.6) 20 stable stable trend 0.5 (-0.9, 2.0)
Carbon County No 173.1 (156.6, 191.2) 88 stable stable trend -0.5 (-1.2, 0.3)
Forest County No 172.8 (119.9, 250.3) 8 stable stable trend -0.7 (-2.5, 1.1)
Philadelphia County No 168.9 (165.1, 172.7) 1,618 falling falling trend -1.3 (-1.5, -1.1)
Warren County No 168.3 (148.1, 191.0) 56 stable stable trend -0.6 (-1.2, 0.1)
Sullivan County No 168.1 (124.5, 229.9) 11 stable stable trend -1.1 (-2.9, 0.8)
Clinton County No 166.3 (145.1, 190.1) 46 falling falling trend -0.9 (-1.6, -0.1)
Bradford County No 165.1 (148.7, 183.1) 79 stable stable trend 0.3 (-0.4, 1.0)
Jefferson County No 164.4 (145.5, 185.5) 59 stable stable trend -0.4 (-1.1, 0.3)
Schuylkill County No 162.3 (151.8, 173.5) 194 stable stable trend -0.3 (-0.7, 0.0)
Erie County No 161.4 (153.3, 169.9) 318 falling falling trend -0.5 (-0.8, -0.3)
Elk County Yes 158.6 (137.6, 182.7) 44 falling falling trend -0.9 (-1.8, -0.1)
Fayette County Yes 157.8 (147.1, 169.1) 179 falling falling trend -0.8 (-1.2, -0.4)
Greene County Yes 155.6 (134.6, 179.4) 42 stable stable trend 0.0 (-0.8, 0.8)
Potter County Yes 155.2 (127.2, 188.7) 23 stable stable trend -0.6 (-1.7, 0.6)
Juniata County Yes 154.8 (129.8, 183.7) 29 stable stable trend -0.6 (-1.4, 0.3)
Wayne County Yes 153.5 (136.6, 172.4) 65 falling falling trend -1.3 (-2.0, -0.5)
Washington County Yes 153.0 (144.5, 162.0) 262 falling falling trend -0.6 (-1.0, -0.3)
Lackawanna County Yes 152.7 (144.2, 161.7) 268 falling falling trend -0.9 (-1.1, -0.6)
Delaware County Yes 152.7 (147.1, 158.4) 622 falling falling trend -1.1 (-1.3, -0.8)
Venango County Yes 150.7 (134.7, 168.5) 70 stable stable trend -0.7 (-1.4, 0.1)
McKean County Yes 150.0 (130.9, 171.6) 48 falling falling trend -1.1 (-1.8, -0.3)
Luzerne County Yes 150.0 (143.1, 157.2) 396 falling falling trend -0.8 (-1.0, -0.5)
Lycoming County Yes 149.2 (137.6, 161.7) 132 falling falling trend -0.6 (-1.1, -0.1)
Allegheny County Yes 148.9 (145.3, 152.5) 1,485 falling falling trend -1.8 (-2.2, -1.4)
Crawford County Yes 148.5 (135.3, 162.8) 98 stable stable trend -0.2 (-0.8, 0.3)
Clarion County Yes 148.2 (128.2, 170.7) 43 stable stable trend -0.5 (-1.4, 0.4)
Monroe County Yes 148.0 (137.7, 158.8) 161 stable stable trend -0.2 (-1.8, 1.4)
Westmoreland County Yes 147.2 (141.0, 153.6) 472 falling falling trend -0.8 (-1.1, -0.6)
Mifflin County Yes 146.5 (128.8, 166.2) 55 stable stable trend -0.6 (-1.2, 0.1)
Lawrence County Yes 145.9 (133.5, 159.3) 116 falling falling trend -0.6 (-1.0, -0.2)
Perry County Yes 145.3 (126.5, 166.4) 45 stable stable trend -0.4 (-1.2, 0.5)
Wyoming County Yes 144.7 (122.3, 170.6) 31 stable stable trend -0.7 (-1.7, 0.3)
Northumberland County Yes 143.4 (131.3, 156.5) 113 falling falling trend -0.9 (-1.3, -0.5)
Clearfield County Yes 142.9 (129.9, 157.0) 94 stable stable trend -0.4 (-0.8, 0.0)
Cambria County Yes 142.8 (132.7, 153.5) 173 falling falling trend -0.8 (-1.2, -0.4)
Tioga County Yes 142.7 (124.6, 163.0) 47 stable stable trend -0.8 (-1.6, 0.0)
Armstrong County Yes 142.3 (128.4, 157.6) 82 stable stable trend -0.5 (-1.2, 0.2)
Mercer County Yes 142.3 (131.0, 154.3) 134 stable stable trend -0.4 (-0.9, 0.0)
Dauphin County Yes 141.6 (133.9, 149.7) 266 falling falling trend -1.2 (-1.5, -1.0)
Pike County Yes 140.2 (124.3, 157.9) 60 falling falling trend -1.1 (-1.9, -0.3)
Lebanon County Yes 140.1 (129.9, 151.0) 152 falling falling trend -0.6 (-0.9, -0.2)
Adams County Yes 139.5 (127.4, 152.5) 106 falling falling trend -1.1 (-1.8, -0.4)
Susquehanna County Yes 139.4 (121.8, 159.3) 48 stable stable trend -0.8 (-1.6, 0.0)
Beaver County Yes 139.0 (130.3, 148.2) 207 falling falling trend -1.1 (-1.4, -0.8)
Lehigh County Yes 138.9 (132.3, 145.7) 358 falling falling trend -1.0 (-1.2, -0.7)
Northampton County Yes 138.5 (131.6, 145.9) 323 falling falling trend -1.0 (-1.3, -0.8)
Huntingdon County Yes 138.3 (120.4, 158.6) 47 stable stable trend -0.3 (-1.0, 0.4)
Bucks County Yes 136.9 (132.0, 141.9) 641 falling falling trend -1.5 (-1.7, -1.3)
Columbia County Yes 136.7 (122.1, 152.7) 69 stable stable trend -0.5 (-1.1, 0.0)
York County Yes 136.6 (130.7, 142.8) 416 falling falling trend -1.0 (-1.3, -0.8)
Montour County Yes 136.4 (109.8, 168.5) 22 stable stable trend -0.8 (-2.1, 0.5)
Montgomery County Yes 135.9 (131.7, 140.3) 838 falling falling trend -1.2 (-1.4, -1.1)
Blair County Yes 135.3 (125.0, 146.4) 139 falling falling trend -0.9 (-1.4, -0.5)
Berks County Yes 134.0 (127.9, 140.3) 388 falling falling trend -1.1 (-1.4, -0.8)
Chester County Yes 133.4 (127.8, 139.2) 447 falling falling trend -1.3 (-1.6, -1.1)
Lancaster County Yes 131.8 (126.5, 137.2) 503 falling falling trend -1.3 (-1.5, -1.0)
Bedford County Yes 131.1 (115.7, 148.4) 56 stable stable trend -0.6 (-1.3, 0.0)
Somerset County Yes 129.8 (117.1, 143.9) 85 falling falling trend -0.6 (-1.0, -0.1)
Franklin County Yes 129.7 (120.3, 139.7) 151 falling falling trend -1.3 (-1.8, -0.8)
Cumberland County Yes 129.4 (121.8, 137.3) 234 falling falling trend -1.0 (-1.4, -0.6)
Union County Yes 125.9 (108.3, 145.9) 40 falling falling trend -1.1 (-1.9, -0.2)
Butler County Yes 125.5 (117.0, 134.6) 174 falling falling trend -2.3 (-3.0, -1.6)
Indiana County Yes 120.7 (108.6, 134.0) 79 falling falling trend -1.4 (-1.8, -1.0)
Snyder County Yes 116.9 (99.9, 136.3) 35 falling falling trend -1.6 (-2.2, -1.0)
Cameron County Yes 112.4 (70.9, 176.8) 6
*
*
Centre County Yes 112.4 (102.4, 123.1) 98 falling falling trend -1.8 (-2.2, -1.4)
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 6:19 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 2020 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 1969-2016 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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.

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