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Death Rates Table

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Death Rate Report for Pennsylvania by County

Colon & Rectum, 2018-2022

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

Sorted by Ruralurban
County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban ascending
Met Healthy People Objective of 74.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
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 N/A Yes 13.1 (12.8, 13.3) N/A 2,346 falling falling trend -2.5 (-2.6, -2.3)
United States N/A Yes 12.9 (12.8, 12.9) N/A 52,325 falling falling trend -1.2 (-1.7, -0.8)
Adams County Urban Yes 11.8 (9.5, 14.6) 51 (12, 62) 18 falling falling trend -2.8 (-3.6, -2.0)
Allegheny County Urban Yes 12.6 (11.8, 13.4) 43 (27, 54) 223 falling falling trend -2.7 (-3.0, -2.4)
Armstrong County Urban Yes 14.6 (11.5, 18.5) 22 (1, 60) 16 falling falling trend -2.1 (-3.0, -1.3)
Beaver County Urban Yes 12.1 (10.2, 14.2) 48 (14, 62) 32 falling falling trend -2.8 (-3.5, -2.2)
Berks County Urban Yes 11.3 (10.1, 12.7) 59 (32, 61) 64 falling falling trend -3.1 (-3.5, -2.7)
Blair County Urban Yes 14.1 (11.7, 16.8) 26 (4, 58) 26 falling falling trend -2.5 (-3.3, -1.8)
Bucks County Urban Yes 11.7 (10.7, 12.8) 53 (32, 60) 111 falling falling trend -3.4 (-3.8, -2.9)
Butler County Urban Yes 12.6 (10.8, 14.7) 42 (14, 61) 36 falling falling trend -2.5 (-3.0, -1.9)
Cambria County Urban Yes 15.6 (13.3, 18.3) 15 (1, 47) 35 falling falling trend -1.5 (-2.3, -0.7)
Carbon County Urban Yes 16.2 (12.7, 20.5) 7 (1, 56) 16 falling falling trend -2.1 (-3.1, -1.1)
Centre County Urban Yes 9.7 (7.8, 12.1) 61 (33, 62) 17 falling falling trend -3.4 (-4.4, -2.5)
Chester County Urban Yes 10.2 (9.1, 11.3) 60 (45, 62) 70 falling falling trend -3.8 (-5.4, -3.2)
Cumberland County Urban Yes 11.5 (9.9, 13.2) 57 (25, 62) 41 falling falling trend -2.7 (-3.1, -2.3)
Dauphin County Urban Yes 11.8 (10.2, 13.5) 52 (21, 61) 43 falling falling trend -2.8 (-3.4, -2.2)
Delaware County Urban Yes 13.7 (12.5, 14.9) 32 (12, 50) 102 falling falling trend -2.8 (-5.3, -2.3)
Erie County Urban Yes 13.0 (11.3, 14.9) 38 (12, 59) 47 falling falling trend -2.1 (-2.8, -1.5)
Fayette County Urban Yes 14.7 (12.3, 17.4) 21 (3, 56) 30 falling falling trend -2.4 (-3.2, -1.6)
Franklin County Urban Yes 13.2 (11.1, 15.6) 36 (8, 60) 30 falling falling trend -2.3 (-2.9, -1.7)
Lackawanna County Urban Yes 15.0 (13.1, 17.2) 19 (3, 45) 48 falling falling trend -3.0 (-3.7, -2.4)
Lancaster County Urban Yes 11.6 (10.6, 12.8) 55 (31, 60) 91 falling falling trend -2.8 (-3.3, -2.4)
Lawrence County Urban Yes 14.0 (11.3, 17.3) 28 (3, 60) 20 falling falling trend -2.5 (-3.4, -1.7)
Lebanon County Urban Yes 13.6 (11.4, 16.2) 33 (5, 59) 28 falling falling trend -2.5 (-3.4, -1.7)
Lehigh County Urban Yes 12.4 (11.0, 13.9) 45 (19, 60) 59 falling falling trend -2.1 (-2.5, -1.7)
Luzerne County Urban Yes 15.0 (13.4, 16.7) 20 (5, 42) 71 falling falling trend -2.5 (-3.1, -2.0)
Lycoming County Urban Yes 13.6 (11.1, 16.5) 34 (4, 60) 23 falling falling trend -2.5 (-3.3, -1.8)
Montgomery County Urban Yes 11.7 (10.8, 12.6) 54 (34, 60) 139 falling falling trend -2.8 (-3.1, -2.4)
Northampton County Urban Yes 12.2 (10.8, 13.9) 46 (19, 60) 54 falling falling trend -2.4 (-3.0, -1.9)
Perry County Urban Yes 16.3 (11.9, 21.9) 6 (1, 61) 10 falling falling trend -2.1 (-3.9, -0.4)
Philadelphia County Urban Yes 14.5 (13.7, 15.4) 23 (10, 36) 246 falling falling trend -3.3 (-4.0, -2.9)
Washington County Urban Yes 13.5 (11.7, 15.5) 35 (9, 57) 43 falling falling trend -2.1 (-2.6, -1.7)
Westmoreland County Urban Yes 12.1 (10.8, 13.6) 47 (23, 60) 69 falling falling trend -2.3 (-2.8, -1.9)
Wyoming County Urban Yes 15.9 (10.7, 23.2) 9 (1, 62) 6 stable stable trend -1.2 (-2.9, 0.5)
York County Urban Yes 14.1 (12.8, 15.5) 25 (9, 47) 86 falling falling trend -2.7 (-3.3, -2.2)
Bedford County Rural Yes 13.9 (10.1, 18.9) 29 (1, 62) 10 falling falling trend -2.1 (-3.5, -0.8)
Bradford County Rural Yes 13.0 (9.8, 16.9) 40 (3, 62) 12 falling falling trend -2.0 (-3.1, -0.9)
Clarion County Rural Yes 17.3 (12.5, 23.7) 3 (1, 61) 9 falling falling trend -2.1 (-3.5, -0.9)
Clearfield County Rural Yes 15.9 (12.8, 19.7) 10 (1, 53) 19 falling falling trend -1.8 (-2.5, -1.0)
Clinton County Rural Yes 17.0 (12.1, 23.4) 4 (1, 60) 9 falling falling trend -1.8 (-3.0, -0.6)
Columbia County Rural Yes 17.6 (13.8, 22.1) 2 (1, 51) 16 falling falling trend -1.2 (-2.1, -0.3)
Crawford County Rural Yes 13.0 (10.2, 16.3) 39 (4, 62) 16 falling falling trend -1.8 (-3.0, -0.7)
Elk County Rural Yes 15.7 (11.2, 21.7) 14 (1, 61) 9 stable stable trend -1.2 (-2.8, 0.4)
Greene County Rural Yes 13.9 (9.7, 19.5) 30 (1, 62) 8 stable stable trend -0.5 (-2.2, 1.2)
Huntingdon County Rural Yes 11.6 (8.3, 16.0) 56 (5, 62) 8 falling falling trend -2.6 (-3.6, -1.8)
Indiana County Rural Yes 13.1 (10.2, 16.7) 37 (4, 62) 15 falling falling trend -2.5 (-3.4, -1.7)
Jefferson County Rural Yes 15.1 (10.9, 20.4) 18 (1, 61) 10 falling falling trend -1.5 (-2.6, -0.4)
Juniata County Rural Yes 15.6 (10.0, 23.6) 16 (1, 62) 5 falling falling trend -2.7 (-4.4, -1.2)
McKean County Rural Yes 11.9 (8.0, 17.1) 49 (3, 62) 7 falling falling trend -1.7 (-2.9, -0.7)
Mercer County Rural Yes 15.8 (13.2, 18.8) 12 (1, 50) 29 falling falling trend -1.3 (-2.0, -0.6)
Mifflin County Rural Yes 19.7 (15.3, 25.2) 1 (1, 37) 14 stable stable trend -1.0 (-2.2, 0.2)
Monroe County Rural Yes 16.1 (13.8, 18.8) 8 (1, 42) 36 stable stable trend 2.6 (-2.7, 15.6)
Northumberland County Rural Yes 15.6 (12.7, 19.0) 17 (1, 56) 22 falling falling trend -2.2 (-3.2, -1.4)
Pike County Rural Yes 11.8 (8.9, 15.6) 50 (7, 62) 12 falling falling trend -2.0 (-3.2, -0.6)
Potter County Rural Yes 15.7 (9.3, 25.5) 13 (1, 62) 4 falling falling trend -2.2 (-3.8, -0.8)
Schuylkill County Rural Yes 15.8 (13.5, 18.5) 11 (1, 43) 35 falling falling trend -2.5 (-3.2, -2.0)
Snyder County Rural Yes 12.7 (8.9, 17.7) 41 (2, 62) 8 falling falling trend -2.4 (-3.7, -1.0)
Somerset County Rural Yes 13.8 (10.8, 17.5) 31 (3, 61) 16 falling falling trend -1.9 (-2.7, -1.1)
Susquehanna County Rural Yes 16.9 (12.4, 22.6) 5 (1, 59) 11 falling falling trend -2.3 (-3.6, -1.1)
Tioga County Rural Yes 14.4 (10.4, 19.6) 24 (1, 62) 9 falling falling trend -2.5 (-4.0, -1.0)
Union County Rural Yes 8.8 (5.6, 13.3) 62 (19, 62) 5 falling falling trend -3.5 (-5.1, -2.1)
Venango County Rural Yes 11.4 (8.3, 15.5) 58 (7, 62) 10 falling falling trend -1.9 (-3.2, -0.8)
Warren County Rural Yes 12.5 (8.7, 17.8) 44 (2, 62) 8 stable stable trend -1.7 (-3.4, 0.0)
Wayne County Rural Yes 14.0 (10.5, 18.6) 27 (1, 62) 12 falling falling trend -2.9 (-4.2, -1.7)
Cameron County Rural ***
*
*
3 or fewer
*
*
Forest County Rural ***
*
*
3 or fewer
*
*
Fulton County Rural ***
*
*
3 or fewer
*
*
Montour County Rural ***
*
*
3 or fewer
*
*
Sullivan County Rural ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/14/2024 8:20 am.

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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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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