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Death Rates Table

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Death Rate Report for Pennsylvania by County

Bladder, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
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 *** 4.9 (4.7, 5.0) 840 stable stable trend 0.1 (-0.1, 0.2)
United States *** 4.4 (4.4, 4.4) 15,609 stable stable trend -0.0 (-0.1, 0.0)
Clinton County *** 9.1 (5.8, 13.8) 5
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*
Elk County *** 8.1 (4.9, 12.9) 4
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*
Jefferson County *** 7.7 (5.0, 11.5) 5 stable stable trend 1.4 (-0.8, 3.7)
Venango County *** 7.5 (5.1, 10.8) 6 rising rising trend 14.5 (3.1, 27.2)
Clarion County *** 6.8 (4.0, 11.0) 4
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*
Snyder County *** 6.7 (3.9, 10.9) 3
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Mifflin County *** 6.4 (4.1, 9.7) 5 stable stable trend -0.7 (-2.9, 1.5)
Lycoming County *** 6.2 (4.6, 8.2) 10 stable stable trend 1.4 (-0.3, 3.3)
Susquehanna County *** 6.0 (3.6, 9.9) 4
*
*
Wayne County *** 6.0 (3.8, 9.3) 5
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*
Schuylkill County *** 5.9 (4.6, 7.6) 14 stable stable trend 0.6 (-0.9, 2.2)
Warren County *** 5.9 (3.6, 9.5) 4
*
*
Beaver County *** 5.6 (4.4, 7.1) 15 stable stable trend 1.2 (-0.1, 2.5)
Armstrong County *** 5.6 (3.8, 8.2) 6 stable stable trend -0.7 (-2.5, 1.1)
Westmoreland County *** 5.5 (4.7, 6.5) 33 stable stable trend -0.1 (-1.2, 1.1)
Erie County *** 5.5 (4.4, 6.7) 20 stable stable trend 0.7 (-0.7, 2.1)
Northumberland County *** 5.4 (3.9, 7.5) 8 stable stable trend -0.4 (-2.1, 1.4)
Crawford County *** 5.3 (3.6, 7.7) 6
*
*
Allegheny County *** 5.3 (4.8, 5.8) 96 stable stable trend 0.6 (0.0, 1.2)
Washington County *** 5.3 (4.2, 6.6) 17 stable stable trend 0.6 (-1.0, 2.2)
Philadelphia County *** 5.1 (4.6, 5.7) 82 stable stable trend -0.4 (-0.9, 0.2)
Dauphin County *** 5.1 (4.0, 6.4) 16 stable stable trend -0.1 (-1.5, 1.2)
Northampton County *** 5.0 (4.1, 6.1) 22 stable stable trend 0.2 (-1.1, 1.5)
Monroe County *** 5.0 (3.7, 6.7) 10 stable stable trend -0.7 (-2.5, 1.1)
Adams County *** 5.0 (3.5, 7.0) 7 stable stable trend 0.2 (-1.6, 2.1)
Lehigh County *** 5.0 (4.1, 6.0) 24 stable stable trend -0.4 (-1.5, 0.8)
York County *** 4.9 (4.1, 5.8) 26 stable stable trend 0.2 (-0.9, 1.3)
Luzerne County *** 4.9 (4.0, 5.9) 23 stable stable trend 0.6 (-0.5, 1.6)
Bradford County *** 4.8 (3.0, 7.5) 4 stable stable trend -0.3 (-3.0, 2.5)
Lawrence County *** 4.8 (3.3, 6.8) 7 stable stable trend 0.4 (-1.6, 2.6)
Blair County *** 4.7 (3.4, 6.4) 9 stable stable trend 0.3 (-1.9, 2.5)
Delaware County *** 4.6 (3.9, 5.3) 33 stable stable trend -0.8 (-1.6, 0.1)
Bucks County *** 4.5 (3.9, 5.3) 38 stable stable trend 0.2 (-0.8, 1.3)
Clearfield County *** 4.5 (3.0, 6.7) 6 stable stable trend -0.8 (-3.1, 1.6)
Mercer County *** 4.5 (3.2, 6.2) 9 stable stable trend 0.9 (-0.9, 2.7)
Columbia County *** 4.5 (2.7, 7.1) 4 stable stable trend -0.3 (-3.3, 2.9)
Butler County *** 4.5 (3.4, 5.8) 12 stable stable trend -1.1 (-2.4, 0.3)
Berks County *** 4.4 (3.6, 5.3) 24 stable stable trend -0.1 (-1.2, 1.1)
Lackawanna County *** 4.4 (3.4, 5.6) 14 stable stable trend 0.8 (-0.4, 2.1)
Cambria County *** 4.4 (3.3, 5.9) 11 stable stable trend 0.2 (-1.2, 1.7)
Chester County *** 4.4 (3.6, 5.2) 26 stable stable trend -0.8 (-1.9, 0.4)
Somerset County *** 4.3 (2.8, 6.5) 5 stable stable trend -1.0 (-3.6, 1.6)
Lebanon County *** 4.3 (3.1, 5.8) 9 stable stable trend 1.2 (-0.9, 3.3)
Lancaster County *** 4.3 (3.6, 5.0) 32 stable stable trend -0.4 (-1.3, 0.5)
Centre County *** 4.2 (2.8, 5.9) 6
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Franklin County *** 4.2 (3.0, 5.6) 9 stable stable trend -0.6 (-2.5, 1.3)
Montgomery County *** 4.1 (3.6, 4.7) 47 stable stable trend -0.2 (-0.9, 0.6)
Fayette County *** 4.0 (2.9, 5.5) 8 falling falling trend -1.3 (-2.6, -0.1)
Carbon County *** 3.9 (2.3, 6.3) 4
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*
Cumberland County *** 3.5 (2.7, 4.6) 12 falling falling trend -1.9 (-3.3, -0.5)
Indiana County *** 3.5 (2.1, 5.6) 4
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*
Bedford County ***
*
3 or fewer
*
*
Cameron County ***
*
3 or fewer
*
*
Forest County ***
*
3 or fewer
*
*
Fulton County ***
*
3 or fewer
*
*
Greene County ***
*
3 or fewer
*
*
Huntingdon County ***
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3 or fewer
*
*
Juniata County ***
*
3 or fewer
*
*
McKean County ***
*
3 or fewer
*
*
Montour County ***
*
3 or fewer
*
*
Perry County ***
*
3 or fewer
*
*
Pike County ***
*
3 or fewer
*
*
Potter County ***
*
3 or fewer
*
*
Sullivan County ***
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3 or fewer
*
*
Tioga County ***
*
3 or fewer
*
*
Union County ***
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3 or fewer
*
*
Wyoming County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/20/2019 5:29 am.

*** No Healthy People 2020 Objective for this cancer.
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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

* 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 availablility, 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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