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Death Rates Table

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Death Rate Report for Pennsylvania by County

Stomach, 2014-2018

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
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 *** 2.6 (2.5, 2.7) N/A 443 falling falling trend -3.6 (-3.8, -3.5)
United States *** 3.0 (3.0, 3.0) N/A 11,255 falling falling trend -2.1 (-2.4, -1.9)
Philadelphia County *** 4.3 (3.9, 4.8) 1 (1, 4) 71 falling falling trend -3.3 (-3.7, -3.0)
Cambria County *** 3.3 (2.2, 4.8) 2 (1, 31) 7 falling falling trend -2.8 (-3.9, -1.7)
Fayette County *** 3.2 (2.2, 4.6) 3 (1, 31) 7 falling falling trend -3.1 (-4.5, -1.6)
Carbon County *** 3.2 (1.9, 5.5) 4 (1, 35) 3 falling falling trend -3.5 (-5.7, -1.2)
Luzerne County *** 3.2 (2.5, 4.1) 5 (1, 25) 15 falling falling trend -3.4 (-4.1, -2.6)
Lackawanna County *** 3.1 (2.3, 4.2) 6 (1, 29) 10 falling falling trend -3.3 (-4.2, -2.3)
Somerset County *** 3.1 (1.7, 5.2) 7 (1, 35) 3
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*
Allegheny County *** 2.9 (2.5, 3.3) 8 (3, 21) 51 falling falling trend -3.8 (-4.2, -3.3)
Northampton County *** 2.8 (2.1, 3.7) 9 (2, 31) 12 falling falling trend -4.1 (-5.2, -2.9)
Indiana County *** 2.8 (1.6, 4.6) 10 (1, 35) 4 falling falling trend -2.2 (-4.1, -0.2)
Adams County *** 2.8 (1.7, 4.4) 11 (1, 35) 4 falling falling trend -2.0 (-3.6, -0.3)
Westmoreland County *** 2.7 (2.1, 3.4) 12 (3, 31) 16 falling falling trend -3.9 (-4.8, -3.1)
Delaware County *** 2.7 (2.1, 3.3) 13 (3, 31) 19 falling falling trend -3.6 (-4.6, -2.6)
Schuylkill County *** 2.6 (1.7, 3.8) 14 (2, 35) 6 falling falling trend -3.7 (-5.2, -2.1)
Lawrence County *** 2.5 (1.4, 4.3) 15 (1, 35) 3 falling falling trend -3.7 (-5.8, -1.6)
Centre County *** 2.5 (1.5, 3.9) 16 (2, 35) 4
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*
Lehigh County *** 2.5 (1.9, 3.3) 17 (3, 34) 12 falling falling trend -4.0 (-5.2, -2.7)
Lancaster County *** 2.4 (1.9, 3.0) 18 (5, 33) 16 falling falling trend -1.4 (-2.5, -0.4)
Berks County *** 2.4 (1.8, 3.1) 19 (4, 34) 12 falling falling trend -3.2 (-4.3, -2.1)
Washington County *** 2.3 (1.6, 3.3) 20 (3, 35) 7 falling falling trend -4.3 (-5.4, -3.2)
Montgomery County *** 2.3 (1.9, 2.8) 21 (8, 33) 26 falling falling trend -3.5 (-4.4, -2.6)
Lycoming County *** 2.3 (1.4, 3.7) 22 (2, 35) 4
*
*
Chester County *** 2.2 (1.7, 2.8) 23 (7, 35) 14 falling falling trend -4.1 (-5.3, -2.9)
Erie County *** 2.2 (1.6, 3.0) 24 (5, 35) 8 falling falling trend -5.4 (-8.2, -2.5)
Franklin County *** 2.2 (1.4, 3.4) 25 (3, 35) 5 stable stable trend -1.6 (-3.4, 0.2)
Beaver County *** 2.2 (1.4, 3.2) 26 (4, 35) 6 falling falling trend -5.3 (-6.3, -4.3)
Bucks County *** 2.1 (1.7, 2.7) 27 (10, 35) 18 falling falling trend -3.0 (-4.2, -1.8)
Northumberland County *** 2.1 (1.2, 3.6) 28 (2, 35) 3 falling falling trend -5.1 (-6.5, -3.5)
Mercer County *** 2.1 (1.3, 3.4) 29 (3, 35) 4 falling falling trend -3.8 (-5.6, -2.0)
Monroe County *** 2.1 (1.3, 3.3) 30 (3, 35) 4 falling falling trend -4.2 (-6.1, -2.3)
Blair County *** 2.1 (1.2, 3.4) 31 (3, 35) 4 falling falling trend -1.9 (-3.5, -0.3)
Dauphin County *** 2.1 (1.4, 2.9) 32 (6, 35) 7 falling falling trend -4.0 (-5.1, -2.9)
Cumberland County *** 1.9 (1.3, 2.7) 33 (8, 35) 6 falling falling trend -2.0 (-3.8, -0.3)
Butler County *** 1.9 (1.2, 2.9) 34 (7, 35) 5 falling falling trend -3.1 (-5.0, -1.3)
York County *** 1.7 (1.3, 2.3) 35 (17, 35) 10 falling falling trend -3.9 (-4.9, -2.9)
Armstrong County ***
*
*
3 or fewer
*
*
Bedford County ***
*
*
3 or fewer
*
*
Bradford County ***
*
*
3 or fewer
*
*
Cameron County ***
*
*
3 or fewer
*
*
Clarion County ***
*
*
3 or fewer
*
*
Clearfield County ***
*
*
3 or fewer
*
*
Clinton County ***
*
*
3 or fewer
*
*
Columbia County ***
*
*
3 or fewer
*
*
Crawford 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
*
*
Lebanon County ***
*
*
3 or fewer
*
*
McKean County ***
*
*
3 or fewer
*
*
Mifflin 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
*
*
Wayne County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 11/24/2020 7:03 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 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 1969-2017 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 2020 Objective for this cancer.
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 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.

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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