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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Pennsylvania Counties versus United States

Bladder

All Races, Both Sexes

Sorted by trend
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend ascending
United States - falling falling trend - 16,684 4.2 (4.1, 4.2) - -2.5 (-3.2, -1.7)
Pennsylvania - falling falling trend - 834 4.5 (4.4, 4.6) - -2.2 (-4.0, -0.3)
Jefferson County 1 rising rising trend higher 6 8.2 (5.5, 12.1) 2.0 2.2 (0.5, 4.0)
Mercer County 2 rising rising trend similar 10 5.3 (3.9, 7.2) 1.3 1.5 (0.1, 2.9)
Luzerne County 1 rising rising trend higher 26 5.2 (4.4, 6.3) 1.3 1.4 (0.5, 2.3)
Lawrence County 6 stable stable trend similar 9 5.7 (4.1, 7.9) 1.4 1.0 (-0.5, 2.6)
Lackawanna County 6 stable stable trend similar 16 4.8 (3.8, 6.0) 1.1 0.8 (-0.1, 1.7)
Beaver County 6 stable stable trend similar 14 5.0 (3.8, 6.4) 1.2 0.7 (-0.3, 1.7)
Erie County 4 stable stable trend higher 21 5.4 (4.4, 6.6) 1.3 0.5 (-0.5, 1.5)
Westmoreland County 4 stable stable trend higher 37 6.0 (5.2, 7.0) 1.4 0.5 (-0.3, 1.3)
Schuylkill County 6 stable stable trend similar 11 4.9 (3.7, 6.5) 1.2 0.4 (-0.8, 1.5)
Lycoming County 6 stable stable trend similar 7 4.2 (2.9, 5.9) 1.0 0.3 (-1.2, 1.8)
Lebanon County 6 stable stable trend similar 8 3.7 (2.7, 5.2) 0.9 0.2 (-1.2, 1.7)
Cambria County 6 stable stable trend similar 10 4.5 (3.3, 6.1) 1.1 0.2 (-0.9, 1.3)
Northampton County 6 stable stable trend similar 24 5.1 (4.2, 6.1) 1.2 0.2 (-0.8, 1.2)
Columbia County 6 stable stable trend similar 6 5.9 (4.0, 8.7) 1.4 0.1 (-2.1, 2.2)
Bradford County 6 stable stable trend similar 5 5.2 (3.4, 7.9) 1.2 0.0 (-2.0, 2.0)
Blair County 6 stable stable trend similar 10 4.9 (3.6, 6.6) 1.2 0.0 (-1.5, 1.6)
Washington County 6 stable stable trend similar 15 4.6 (3.6, 5.9) 1.1 0.0 (-1.2, 1.3)
Allegheny County 8 falling falling trend similar 80 4.2 (3.8, 4.7) 1.0 -4.1 (-7.3, -0.8)
Cumberland County 8 falling falling trend similar 12 3.4 (2.6, 4.4) 0.8 -1.7 (-2.7, -0.6)
Armstrong County 6 stable stable trend similar 4 3.7 (2.3, 5.9) 0.9 -1.0 (-2.5, 0.5)
Adams County 6 stable stable trend similar 6 3.4 (2.2, 5.0) 0.8 -0.9 (-2.4, 0.5)
Dauphin County 6 stable stable trend similar 13 3.5 (2.7, 4.5) 0.8 -0.9 (-1.9, 0.2)
Venango County 6 stable stable trend similar 4 5.0 (3.0, 8.1) 1.2 -0.8 (-2.6, 1.1)
Butler County 6 stable stable trend similar 13 4.4 (3.3, 5.6) 1.0 -0.8 (-1.8, 0.1)
Fayette County 6 stable stable trend similar 9 4.1 (3.0, 5.7) 1.0 -0.8 (-1.8, 0.1)
Philadelphia County 8 falling falling trend similar 70 4.1 (3.7, 4.6) 1.0 -0.8 (-1.3, -0.4)
Clearfield County 6 stable stable trend similar 6 4.7 (3.2, 6.9) 1.1 -0.7 (-2.4, 1.0)
Chester County 6 stable stable trend similar 28 4.2 (3.5, 5.0) 1.0 -0.7 (-1.6, 0.2)
Somerset County 6 stable stable trend similar 6 4.6 (3.1, 6.8) 1.1 -0.6 (-2.4, 1.2)
Mifflin County 6 stable stable trend similar 5 6.1 (3.9, 9.5) 1.5 -0.6 (-2.3, 1.2)
Lancaster County 6 stable stable trend similar 32 4.0 (3.4, 4.7) 1.0 -0.6 (-1.2, 0.1)
Franklin County 6 stable stable trend similar 9 3.8 (2.8, 5.2) 0.9 -0.5 (-1.9, 1.0)
Bucks County 6 stable stable trend similar 38 4.1 (3.5, 4.8) 1.0 -0.3 (-1.1, 0.5)
Monroe County 6 stable stable trend similar 11 5.3 (3.9, 6.9) 1.3 -0.2 (-1.6, 1.1)
Northumberland County 6 stable stable trend similar 9 5.5 (4.0, 7.6) 1.3 -0.2 (-1.4, 1.1)
Delaware County 6 stable stable trend similar 37 4.9 (4.2, 5.6) 1.2 -0.2 (-0.8, 0.4)
Berks County 6 stable stable trend similar 26 4.4 (3.7, 5.3) 1.1 -0.1 (-1.0, 0.8)
Lehigh County 6 stable stable trend similar 24 4.9 (4.0, 5.8) 1.2 -0.1 (-0.9, 0.8)
York County 6 stable stable trend similar 26 4.4 (3.7, 5.3) 1.1 -0.1 (-0.9, 0.7)
Montgomery County 6 stable stable trend similar 52 4.3 (3.8, 4.8) 1.0 -0.1 (-0.7, 0.4)
Bedford County
**
 		** similar 3 4.1 (2.3, 7.2) 1.0
**
Carbon County
**
 		** higher 7 6.4 (4.4, 9.3) 1.5
**
Centre County
**
 		** similar 7 3.9 (2.7, 5.4) 0.9
**
Clarion County
**
 		** similar 3 5.4 (3.1, 9.1) 1.3
**
Crawford County
**
 		** similar 5 3.7 (2.4, 5.7) 0.9
**
Greene County
**
 		** higher 4 8.0 (4.9, 12.7) 1.9
**
Huntingdon County
**
 		** similar 4 5.9 (3.6, 9.3) 1.4
**
Indiana County
**
 		** similar 7 5.8 (4.1, 8.2) 1.4
**
Perry County
**
 		** similar 4 6.0 (3.6, 9.7) 1.4
**
Susquehanna County
**
 		** similar 4 6.1 (3.8, 9.8) 1.5
**
Tioga County
**
 		** similar 3 5.1 (2.8, 8.6) 1.2
**
Wayne County
**
 		** similar 4 4.4 (2.7, 7.2) 1.0
**
Cameron County
**
 		**
*
3 or fewer
*
*
**
Clinton County
**
 		**
*
3 or fewer
*
*
**
Elk County
**
 		**
*
3 or fewer
*
*
**
Forest County
**
 		**
*
3 or fewer
*
*
**
Fulton County
**
 		**
*
3 or fewer
*
*
**
Juniata County
**
 		**
*
3 or fewer
*
*
**
McKean County
**
 		**
*
3 or fewer
*
*
**
Montour County
**
 		**
*
3 or fewer
*
*
**
Pike County
**
 		**
*
3 or fewer
*
*
**
Potter County
**
 		**
*
3 or fewer
*
*
**
Snyder County
**
 		**
*
3 or fewer
*
*
**
Sullivan County
**
 		**
*
3 or fewer
*
*
**
Union County
**
 		**
*
3 or fewer
*
*
**
Warren County
**
 		**
*
3 or fewer
*
*
**
Wyoming County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/16/2024 8:37 am.

Trend2
     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.
Rate Comparison
     Above    when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar    when unable to conclude above or below with confidence.
     Below    when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Cameron County, Clinton County, Elk County, Forest County, Fulton County, Juniata County, McKean County, Montour County, Pike County, Potter County, Snyder County, Sullivan County, Union County, Warren County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Bedford County, Carbon County, Centre County, Clarion County, Crawford County, Greene County, Huntingdon County, Indiana County, Perry County, Susquehanna County, Tioga County, Wayne County


Interpret Rankings provides insight into interpreting cancer 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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