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Death Rates Table

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Death Rate Report for Pennsylvania by County

Esophagus, 2015-2019

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 *** 4.5 (4.3, 4.6) N/A 797 falling falling trend -1.1 (-1.5, -0.7)
United States *** 3.9 (3.8, 3.9) N/A 15,474 falling falling trend -1.1 (-1.2, -1.0)
Centre County *** 3.3 (2.2, 4.9) 53 (17, 53) 6 stable stable trend -1.4 (-3.3, 0.5)
Northampton County *** 3.4 (2.7, 4.4) 52 (25, 53) 15 stable stable trend -0.7 (-1.9, 0.6)
Indiana County *** 3.4 (2.1, 5.4) 51 (11, 53) 4 stable stable trend -0.3 (-2.4, 1.7)
Somerset County *** 3.6 (2.3, 5.7) 50 (9, 53) 4
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*
Montgomery County *** 3.7 (3.2, 4.2) 49 (30, 53) 43 stable stable trend -0.3 (-1.1, 0.6)
Delaware County *** 3.7 (3.1, 4.4) 48 (25, 53) 27 stable stable trend -0.1 (-0.9, 0.8)
Lehigh County *** 3.7 (2.9, 4.5) 47 (22, 53) 18 falling falling trend -3.6 (-6.5, -0.6)
Bradford County *** 3.8 (2.2, 6.3) 46 (5, 53) 3
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*
Pike County *** 3.8 (2.2, 6.5) 45 (4, 53) 3
*
*
Berks County *** 3.8 (3.1, 4.7) 44 (20, 53) 21 stable stable trend -1.6 (-3.6, 0.4)
Carbon County *** 3.9 (2.4, 6.2) 43 (5, 53) 4 stable stable trend 1.5 (-0.8, 3.9)
Lebanon County *** 3.9 (2.8, 5.5) 42 (10, 53) 8 stable stable trend -0.4 (-1.5, 0.7)
Philadelphia County *** 4.0 (3.6, 4.4) 41 (25, 51) 69 falling falling trend -2.1 (-2.6, -1.7)
Cambria County *** 4.0 (2.9, 5.5) 40 (10, 53) 9 stable stable trend -0.2 (-1.4, 0.9)
Lancaster County *** 4.0 (3.3, 4.7) 39 (20, 52) 29 stable stable trend -0.4 (-1.3, 0.5)
Bucks County *** 4.1 (3.5, 4.7) 38 (21, 51) 37 stable stable trend -0.2 (-1.0, 0.5)
Chester County *** 4.2 (3.5, 5.0) 37 (17, 52) 27 stable stable trend -0.2 (-1.4, 0.9)
Dauphin County *** 4.3 (3.3, 5.4) 36 (11, 53) 15 stable stable trend 0.9 (-1.9, 3.8)
Bedford County *** 4.3 (2.6, 7.2) 35 (3, 53) 4
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Mercer County *** 4.3 (3.1, 6.0) 34 (6, 53) 8 rising rising trend 2.4 (0.1, 4.7)
Adams County *** 4.4 (3.0, 6.3) 33 (4, 53) 7
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*
Allegheny County *** 4.4 (4.0, 4.9) 32 (19, 45) 78 stable stable trend -0.3 (-0.9, 0.3)
Washington County *** 4.5 (3.5, 5.8) 31 (8, 52) 14 stable stable trend 0.7 (-0.6, 2.0)
Tioga County *** 4.6 (2.6, 7.8) 30 (2, 53) 3
*
*
Cumberland County *** 4.6 (3.6, 5.8) 29 (9, 52) 16 stable stable trend -0.4 (-1.8, 0.9)
Wayne County *** 4.8 (2.9, 7.7) 28 (2, 53) 4
*
*
Erie County *** 4.8 (3.8, 6.0) 27 (6, 49) 18 stable stable trend 0.9 (-0.2, 2.1)
York County *** 4.8 (4.1, 5.7) 26 (9, 45) 29 stable stable trend 1.0 (-0.2, 2.2)
Beaver County *** 5.0 (3.8, 6.4) 25 (5, 50) 13 stable stable trend -0.2 (-1.5, 1.1)
Lawrence County *** 5.0 (3.3, 7.3) 24 (2, 53) 6 stable stable trend 0.8 (-0.6, 2.2)
Lycoming County *** 5.1 (3.7, 6.9) 23 (3, 52) 9 stable stable trend 0.8 (-0.5, 2.2)
Butler County *** 5.1 (4.0, 6.6) 22 (4, 49) 14 stable stable trend 0.5 (-1.0, 2.1)
Blair County *** 5.2 (3.8, 6.9) 21 (3, 52) 10 stable stable trend 1.1 (-0.1, 2.3)
Franklin County *** 5.2 (3.9, 6.8) 20 (2, 50) 11 stable stable trend 1.1 (-1.0, 3.3)
Westmoreland County *** 5.3 (4.5, 6.3) 19 (5, 39) 31 rising rising trend 2.0 (1.0, 3.1)
Monroe County *** 5.4 (4.1, 7.1) 18 (2, 48) 12 stable stable trend 0.6 (-0.6, 1.8)
Fayette County *** 5.4 (4.0, 7.3) 17 (2, 51) 10 rising rising trend 1.7 (0.3, 3.1)
Union County *** 5.6 (3.2, 9.2) 16 (1, 53) 3
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*
Venango County *** 5.6 (3.6, 8.6) 15 (1, 53) 5 stable stable trend 1.6 (-0.3, 3.5)
Armstrong County *** 5.6 (3.7, 8.3) 14 (1, 52) 6 stable stable trend 0.1 (-2.0, 2.3)
Northumberland County *** 5.8 (4.1, 8.1) 13 (1, 50) 8 rising rising trend 2.0 (0.2, 3.8)
Perry County *** 5.9 (3.5, 9.4) 12 (1, 53) 4
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*
Clarion County *** 5.9 (3.3, 10.1) 11 (1, 53) 3
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*
Lackawanna County *** 6.0 (4.8, 7.4) 10 (2, 37) 18 stable stable trend 1.1 (0.0, 2.1)
Clearfield County *** 6.1 (4.3, 8.6) 9 (1, 49) 8 stable stable trend 1.3 (-0.1, 2.7)
Luzerne County *** 6.2 (5.2, 7.3) 8 (2, 28) 30 rising rising trend 2.3 (1.5, 3.2)
Schuylkill County *** 6.3 (4.9, 8.0) 7 (1, 37) 14 rising rising trend 2.4 (1.4, 3.5)
Jefferson County *** 6.3 (3.9, 9.8) 6 (1, 53) 4
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*
Susquehanna County *** 6.3 (3.9, 10.0) 5 (1, 53) 4
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*
Columbia County *** 6.7 (4.6, 9.7) 4 (1, 48) 6 stable stable trend 1.5 (-0.3, 3.3)
Crawford County *** 6.8 (4.9, 9.3) 3 (1, 42) 9 stable stable trend 0.8 (-0.6, 2.2)
Mifflin County *** 7.9 (5.1, 11.7) 2 (1, 43) 6
*
*
Warren County *** 8.4 (5.5, 12.6) 1 (1, 45) 6
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*
Cameron County ***
*
*
3 or fewer
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*
Clinton County ***
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*
3 or fewer
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*
Elk County ***
*
*
3 or fewer
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*
Forest County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
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*
Greene County ***
*
*
3 or fewer
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*
Huntingdon County ***
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*
3 or fewer
*
*
Juniata County ***
*
*
3 or fewer
*
*
McKean County ***
*
*
3 or fewer
*
*
Montour County ***
*
*
3 or fewer
*
*
Potter County ***
*
*
3 or fewer
*
*
Snyder County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/01/2022 1:04 pm.

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:
Cameron, Clinton, Elk, Forest, Fulton, Greene, Huntingdon, Juniata, McKean, Montour, Potter, Snyder, Sullivan, 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.
⋔ 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.

* 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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