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Death Rates Table

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Death Rate Report for Pennsylvania by County

Uterus (Corpus & Uterus, NOS), 2015-2019

All Races (includes Hispanic), Female, 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
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania *** 5.7 (5.5, 5.9) N/A 559 rising rising trend 0.7 (0.5, 1.0)
United States *** 5.0 (4.9, 5.0) N/A 10,923 rising rising trend 1.0 (0.3, 1.7)
Carbon County *** 9.0 (5.5, 14.4) 1 (1, 38) 4
*
*
Philadelphia County *** 7.8 (7.0, 8.6) 2 (1, 12) 79 stable stable trend -6.9 (-16.4, 3.6)
Fayette County *** 7.7 (5.5, 10.7) 3 (1, 36) 9 stable stable trend 1.0 (-0.2, 2.2)
Mifflin County *** 7.6 (4.3, 13.3) 4 (1, 41) 3
*
*
Monroe County *** 7.5 (5.4, 10.2) 5 (1, 35) 9 stable stable trend 0.6 (-1.2, 2.5)
Lawrence County *** 7.1 (4.2, 11.4) 6 (1, 41) 4
*
*
Wayne County *** 7.0 (3.9, 12.3) 7 (1, 41) 3
*
*
Crawford County *** 6.9 (4.4, 10.6) 8 (1, 41) 5
*
*
Schuylkill County *** 6.7 (4.8, 9.4) 9 (1, 39) 8 stable stable trend 0.4 (-0.9, 1.8)
Lebanon County *** 6.6 (4.5, 9.4) 10 (1, 41) 7 stable stable trend 1.1 (-0.6, 2.8)
Mercer County *** 6.4 (4.3, 9.4) 11 (1, 41) 6
*
*
Delaware County *** 6.3 (5.3, 7.6) 12 (3, 31) 27 rising rising trend 1.8 (0.9, 2.6)
Butler County *** 6.3 (4.5, 8.6) 13 (1, 40) 9 stable stable trend 0.6 (-1.0, 2.3)
Beaver County *** 6.2 (4.5, 8.5) 14 (1, 40) 9 stable stable trend 0.7 (-0.9, 2.4)
Montgomery County *** 6.0 (5.2, 7.0) 15 (5, 32) 38 rising rising trend 1.6 (0.5, 2.7)
Luzerne County *** 6.0 (4.7, 7.6) 16 (3, 38) 16 stable stable trend 0.0 (-1.5, 1.4)
Lackawanna County *** 6.0 (4.4, 7.9) 17 (2, 40) 11 stable stable trend 1.2 (-0.1, 2.6)
Lehigh County *** 5.8 (4.6, 7.4) 18 (4, 38) 15 rising rising trend 1.7 (0.5, 2.8)
Northampton County *** 5.8 (4.5, 7.4) 19 (3, 39) 14 stable stable trend 0.9 (-0.7, 2.4)
Somerset County *** 5.7 (3.4, 9.5) 20 (1, 41) 4 stable stable trend 0.7 (-1.3, 2.7)
Lycoming County *** 5.6 (3.7, 8.5) 21 (1, 41) 5 stable stable trend 0.9 (-0.7, 2.6)
Armstrong County *** 5.5 (3.2, 9.5) 22 (1, 41) 3
*
*
Allegheny County *** 5.4 (4.7, 6.1) 23 (11, 35) 55 rising rising trend 0.8 (0.3, 1.4)
Dauphin County *** 5.3 (4.0, 7.1) 24 (5, 41) 11 stable stable trend 0.5 (-1.0, 2.1)
Indiana County *** 5.2 (2.9, 9.0) 25 (1, 41) 3
*
*
York County *** 5.1 (4.0, 6.4) 26 (9, 40) 16 stable stable trend -0.4 (-1.4, 0.7)
Cumberland County *** 5.0 (3.6, 6.8) 27 (6, 41) 9 rising rising trend 2.1 (0.1, 4.1)
Cambria County *** 5.0 (3.3, 7.4) 28 (4, 41) 6 stable stable trend -0.4 (-2.0, 1.2)
Washington County *** 5.0 (3.5, 6.9) 29 (6, 41) 8 stable stable trend -0.5 (-1.7, 0.7)
Clearfield County *** 5.0 (2.8, 8.6) 30 (2, 41) 3
*
*
Northumberland County *** 4.9 (3.0, 8.0) 31 (3, 41) 4
*
*
Erie County *** 4.9 (3.6, 6.6) 32 (7, 41) 10 stable stable trend -0.6 (-2.0, 0.9)
Franklin County *** 4.8 (3.1, 7.2) 33 (4, 41) 6
*
*
Adams County *** 4.8 (2.8, 7.8) 34 (2, 41) 4
*
*
Lancaster County *** 4.7 (3.8, 5.9) 35 (12, 41) 18 stable stable trend 0.0 (-1.1, 1.1)
Westmoreland County *** 4.7 (3.7, 6.0) 36 (12, 41) 16 stable stable trend 0.2 (-0.6, 1.1)
Chester County *** 4.5 (3.6, 5.7) 37 (15, 41) 17 stable stable trend 0.7 (-0.8, 2.3)
Blair County *** 4.5 (2.8, 7.1) 38 (5, 41) 5
*
*
Berks County *** 4.4 (3.4, 5.6) 39 (15, 41) 13 rising rising trend 1.3 (0.2, 2.4)
Centre County *** 4.4 (2.6, 6.9) 40 (6, 41) 4
*
*
Bucks County *** 4.2 (3.4, 5.1) 41 (22, 41) 21 stable stable trend -0.5 (-1.7, 0.6)
Bedford County ***
*
*
3 or fewer
*
*
Bradford County ***
*
*
3 or fewer
*
*
Cameron County ***
*
*
3 or fewer
*
*
Clarion County ***
*
*
3 or fewer
*
*
Clinton County ***
*
*
3 or fewer
*
*
Columbia County ***
*
*
3 or fewer
*
*
Elk County ***
*
*
3 or fewer
*
*
Forest County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
*
*
Greene County ***
*
*
3 or fewer
*
*
Huntingdon County ***
*
*
3 or fewer
*
*
Jefferson County ***
*
*
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
*
*
Snyder County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Susquehanna County ***
*
*
3 or fewer
*
*
Tioga County ***
*
*
3 or fewer
*
*
Union County ***
*
*
3 or fewer
*
*
Venango County ***
*
*
3 or fewer
*
*
Warren County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/29/2022 3:09 am.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Bedford, Bradford, Cameron, Clarion, Clinton, Columbia, Elk, Forest, Fulton, Greene, Huntingdon, Jefferson, Juniata, McKean, Montour, Perry, Pike, Potter, Snyder, Sullivan, Susquehanna, Tioga, Union, Venango, Warren, Wyoming

† 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 1969-2018 US Population Data File is used with mortality data.
* 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).


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.

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