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Death Rates Table

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Death Rate Report for Pennsylvania by County

Esophagus, 2016-2020

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

Sorted by CI*Rank
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 descending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank 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 *** 4.4 (4.3, 4.6) N/A 798 falling falling trend -1.1 (-1.4, -0.8)
United States *** 3.8 (3.8, 3.8) N/A 15,567 falling falling trend -1.2 (-1.3, -1.1)
Somerset County *** 2.8 (1.5, 4.8) 51 (17, 51) 3
*
*
Indiana County *** 3.4 (2.1, 5.4) 50 (11, 51) 4 stable stable trend -0.6 (-2.5, 1.4)
Wayne County *** 3.6 (2.0, 6.2) 49 (6, 51) 3
*
*
Bradford County *** 3.6 (2.1, 6.0) 48 (6, 51) 3
*
*
Montgomery County *** 3.6 (3.1, 4.1) 47 (27, 51) 42 stable stable trend -0.3 (-1.1, 0.5)
Northampton County *** 3.6 (2.8, 4.5) 46 (21, 51) 16 stable stable trend -0.6 (-1.7, 0.6)
Lancaster County *** 3.7 (3.1, 4.4) 45 (23, 51) 27 stable stable trend -0.6 (-1.4, 0.3)
Cumberland County *** 3.7 (2.9, 4.8) 44 (17, 51) 13 stable stable trend -0.6 (-1.9, 0.6)
Delaware County *** 3.8 (3.1, 4.5) 43 (23, 51) 28 stable stable trend -0.2 (-1.0, 0.6)
Lehigh County *** 3.8 (3.1, 4.7) 42 (19, 51) 19 falling falling trend -2.8 (-5.1, -0.4)
Bucks County *** 3.9 (3.3, 4.5) 41 (22, 50) 36 stable stable trend -0.3 (-1.0, 0.4)
Chester County *** 3.9 (3.3, 4.7) 40 (19, 50) 26 stable stable trend -0.4 (-1.5, 0.7)
Philadelphia County *** 3.9 (3.5, 4.4) 39 (25, 49) 69 falling falling trend -2.1 (-2.5, -1.7)
Berks County *** 3.9 (3.2, 4.8) 38 (18, 51) 21 stable stable trend -1.5 (-3.3, 0.3)
Lebanon County *** 4.0 (2.8, 5.6) 37 (8, 51) 8 stable stable trend -0.4 (-1.4, 0.6)
Pike County *** 4.1 (2.4, 6.8) 36 (3, 51) 4
*
*
Centre County *** 4.2 (2.9, 5.8) 35 (7, 51) 7 stable stable trend -0.9 (-2.7, 0.9)
Armstrong County *** 4.4 (2.8, 6.6) 34 (3, 51) 5 stable stable trend -0.2 (-2.2, 1.9)
Allegheny County *** 4.4 (4.0, 4.9) 33 (17, 42) 78 falling falling trend -1.7 (-2.8, -0.7)
Dauphin County *** 4.5 (3.5, 5.6) 32 (8, 50) 16 stable stable trend 1.2 (-1.2, 3.7)
Cambria County *** 4.5 (3.3, 6.0) 31 (6, 51) 10 stable stable trend 0.2 (-0.9, 1.3)
Blair County *** 4.5 (3.2, 6.1) 30 (4, 51) 9 stable stable trend 0.8 (-0.4, 2.0)
York County *** 4.7 (3.9, 5.5) 29 (10, 45) 28 stable stable trend 0.7 (-0.4, 1.9)
Adams County *** 4.7 (3.3, 6.6) 28 (3, 51) 7
*
*
Carbon County *** 4.8 (3.0, 7.4) 27 (1, 51) 5 stable stable trend 1.5 (-0.7, 3.7)
Washington County *** 4.8 (3.7, 6.1) 26 (5, 49) 15 stable stable trend 0.6 (-0.5, 1.8)
Lawrence County *** 4.8 (3.1, 7.1) 25 (2, 51) 6 stable stable trend 0.6 (-0.7, 1.9)
Butler County *** 4.9 (3.8, 6.3) 24 (4, 49) 13 stable stable trend 0.4 (-1.0, 1.8)
Erie County *** 4.9 (3.9, 6.0) 23 (5, 47) 18 stable stable trend 0.9 (-0.2, 2.0)
Beaver County *** 4.9 (3.7, 6.4) 22 (4, 49) 13 stable stable trend -0.3 (-1.5, 1.0)
Bedford County *** 4.9 (3.0, 7.9) 21 (1, 51) 4
*
*
Westmoreland County *** 5.1 (4.3, 6.1) 20 (5, 40) 30 rising rising trend 1.9 (0.9, 2.9)
Mercer County *** 5.2 (3.8, 7.0) 19 (2, 50) 9 rising rising trend 2.3 (0.2, 4.4)
Lycoming County *** 5.2 (3.8, 7.1) 18 (2, 50) 9 stable stable trend 1.0 (-0.2, 2.3)
Northumberland County *** 5.2 (3.6, 7.4) 17 (1, 50) 7 stable stable trend 1.6 (-0.3, 3.5)
Perry County *** 5.2 (3.1, 8.6) 16 (1, 51) 4
*
*
Crawford County *** 5.3 (3.6, 7.5) 15 (1, 50) 7 stable stable trend 0.6 (-1.0, 2.1)
Venango County *** 5.3 (3.3, 8.4) 14 (1, 51) 5 stable stable trend 1.5 (-0.3, 3.2)
Columbia County *** 5.6 (3.7, 8.3) 13 (1, 50) 6 stable stable trend 1.2 (-0.5, 2.9)
Monroe County *** 5.7 (4.3, 7.3) 12 (1, 43) 13 stable stable trend 0.6 (-0.5, 1.7)
Jefferson County *** 5.7 (3.5, 9.2) 11 (1, 51) 4
*
*
McKean County *** 5.9 (3.6, 9.6) 10 (1, 51) 4
*
*
Clarion County *** 6.0 (3.5, 9.8) 9 (1, 51) 4
*
*
Franklin County *** 6.0 (4.6, 7.7) 8 (1, 38) 13 stable stable trend 1.3 (-0.7, 3.2)
Luzerne County *** 6.0 (5.1, 7.1) 7 (1, 28) 30 rising rising trend 2.1 (1.2, 2.9)
Fayette County *** 6.2 (4.6, 8.2) 6 (1, 39) 11 rising rising trend 1.8 (0.5, 3.1)
Schuylkill County *** 6.4 (5.0, 8.2) 5 (1, 33) 14 rising rising trend 2.4 (1.3, 3.4)
Clearfield County *** 6.6 (4.7, 9.1) 4 (1, 42) 8 rising rising trend 1.5 (0.2, 2.8)
Lackawanna County *** 6.6 (5.4, 8.2) 3 (1, 26) 20 rising rising trend 1.5 (0.4, 2.5)
Mifflin County *** 6.9 (4.5, 10.3) 2 (1, 49) 5
*
*
Warren County *** 8.2 (5.3, 12.4) 1 (1, 39) 5
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*
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
*
*
Greene County ***
*
*
3 or fewer
*
*
Huntingdon County ***
*
*
3 or fewer
*
*
Juniata County ***
*
*
3 or fewer
*
*
Montour 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
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 3:32 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.

† 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.

*** No Healthy People 2030 Objective for this cancer.
Healthy People 2030 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 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.
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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