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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

Pennsylvania Counties versus United States

Colon & Rectum

All Races, Both Sexes

Sorted by rateratio

Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling - 52,648 12.9 (12.8, 12.9) - -0.8 (-1.5, -0.4)
Pennsylvania - falling - 2,327 13.0 (12.7, 13.2) - -1.1 (-2.3, -0.5)
Union County 7 stable lower 4 6.5 (4.0, 10.3) 0.5 -2.3 (-5.5, 0.7)
Centre County 9 falling lower 16 9.2 (7.3, 11.5) 0.7 -2.7 (-4.1, -1.3)
Chester County 9 falling lower 70 10.0 (8.9, 11.1) 0.8 -3.6 (-4.3, -2.9)
McKean County 8 falling similar 6 10.1 (6.6, 15.0) 0.8 -2.5 (-4.7, -0.7)
Snyder County 6 stable similar 6 10.2 (6.8, 15.0) 0.8 -2.4 (-5.1, 0.2)
Montour County 8 falling similar 3 11.0 (6.0, 18.9) 0.9 -5.1 (-10.1, -1.5)
Berks County 9 falling lower 62 11.2 (9.9, 12.5) 0.9 -3.0 (-3.9, -2.3)
Bucks County 7 stable lower 109 11.3 (10.4, 12.4) 0.9 -2.1 (-7.7, 3.6)
Warren County 6 stable similar 7 11.4 (7.6, 16.5) 0.9 -1.9 (-5.3, 1.0)
Lancaster County 8 falling similar 90 11.6 (10.5, 12.8) 0.9 -3.1 (-3.7, -2.4)
Huntingdon County 6 stable similar 8 11.6 (8.3, 16.0) 0.9 -1.7 (-3.4, 0.0)
Indiana County 8 falling similar 14 11.7 (9.0, 15.0) 0.9 -2.5 (-4.1, -1.2)
Montgomery County 6 stable similar 140 11.8 (10.9, 12.7) 0.9 -1.5 (-2.2, 1.4)
Adams County 8 falling similar 18 11.8 (9.4, 14.6) 0.9 -1.8 (-3.2, -0.4)
Pike County 6 stable similar 12 11.8 (8.9, 15.6) 0.9 -1.9 (-3.9, 0.4)
Cumberland County 8 falling similar 42 11.9 (10.3, 13.7) 0.9 -2.3 (-3.0, -1.5)
Westmoreland County 8 falling similar 68 11.9 (10.6, 13.4) 0.9 -2.5 (-3.4, -1.7)
Beaver County 8 falling similar 32 12.1 (10.2, 14.3) 0.9 -2.6 (-3.9, -1.6)
Dauphin County 8 falling similar 44 12.1 (10.5, 13.8) 0.9 -2.8 (-3.9, -1.8)
Northampton County 8 falling similar 55 12.2 (10.7, 13.8) 0.9 -1.7 (-2.6, -0.9)
Butler County 8 falling similar 34 12.2 (10.4, 14.3) 0.9 -2.9 (-3.9, -1.9)
Lebanon County 8 falling similar 26 12.3 (10.2, 14.7) 1.0 -2.9 (-4.3, -1.6)
Lehigh County 8 falling similar 59 12.5 (11.1, 14.0) 1.0 -1.7 (-2.5, -1.0)
Somerset County 8 falling similar 15 12.7 (9.8, 16.2) 1.0 -1.9 (-3.7, -0.3)
Allegheny County 8 falling similar 224 12.8 (12.1, 13.7) 1.0 -2.7 (-3.1, -2.3)
Erie County 8 falling similar 46 12.9 (11.2, 14.8) 1.0 -2.4 (-3.3, -1.6)
Franklin County 8 falling similar 30 13.2 (11.1, 15.6) 1.0 -1.6 (-3.0, -0.3)
Wayne County 8 falling similar 12 13.4 (10.1, 17.6) 1.0 -4.4 (-7.1, -2.2)
Lycoming County 6 stable similar 22 13.4 (10.9, 16.3) 1.0 -1.8 (-6.0, 4.6)
Crawford County 8 falling similar 17 13.4 (10.7, 16.8) 1.0 -2.3 (-4.2, -0.7)
Fayette County 8 falling similar 27 13.5 (11.3, 16.2) 1.1 -1.5 (-2.9, -0.2)
Washington County 8 falling similar 45 13.6 (11.9, 15.6) 1.1 -2.1 (-3.3, -1.1)
Lawrence County 8 falling similar 20 13.7 (11.0, 17.0) 1.1 -2.6 (-3.9, -1.3)
Delaware County 8 falling similar 104 13.9 (12.7, 15.2) 1.1 -2.7 (-3.3, -2.1)
Cambria County 8 falling similar 32 14.1 (11.9, 16.6) 1.1 -2.2 (-3.8, -0.9)
Bradford County 6 stable similar 13 14.1 (10.8, 18.3) 1.1 -1.6 (-3.6, 0.2)
Philadelphia County 5 falling higher 242 14.3 (13.5, 15.1) 1.1 -3.2 (-3.6, -2.8)
York County 4 stable higher 87 14.3 (13.0, 15.8) 1.1 -1.3 (-2.2, 1.4)
Bedford County 6 stable similar 11 14.3 (10.5, 19.3) 1.1 -2.1 (-4.6, 0.3)
Tioga County 6 stable similar 10 14.4 (10.6, 19.4) 1.1 -2.0 (-5.3, 7.8)
Luzerne County 5 falling higher 69 14.6 (13.1, 16.3) 1.1 -2.2 (-3.3, -1.2)
Venango County 6 stable similar 12 14.9 (11.2, 19.7) 1.2 -1.4 (-3.6, 0.7)
Schuylkill County 8 falling similar 33 14.9 (12.7, 17.5) 1.2 -2.2 (-3.4, -1.1)
Potter County 8 falling similar 4 14.9 (8.4, 25.0) 1.2 -2.8 (-5.7, -0.3)
Armstrong County 8 falling similar 16 14.9 (11.7, 18.9) 1.2 -2.5 (-3.7, -1.4)
Wyoming County 6 stable similar 6 15.0 (10.1, 21.9) 1.2 -1.0 (-4.3, 2.5)
Northumberland County 8 falling similar 22 15.3 (12.5, 18.7) 1.2 -2.5 (-4.2, -0.9)
Mercer County 8 falling similar 27 15.4 (12.8, 18.4) 1.2 -4.2 (-7.7, -2.3)
Lackawanna County 5 falling higher 49 15.4 (13.5, 17.6) 1.2 -2.8 (-4.1, -1.7)
Clearfield County 8 falling similar 19 15.5 (12.4, 19.2) 1.2 -1.8 (-3.2, -0.4)
Greene County 6 stable similar 8 15.6 (11.2, 21.5) 1.2 -0.5 (-3.7, 2.5)
Monroe County 4 stable higher 36 15.6 (13.4, 18.2) 1.2 0.2 (-1.9, 8.6)
Perry County 8 falling similar 10 15.7 (11.4, 21.1) 1.2 -2.9 (-5.6, -0.5)
Susquehanna County 6 stable similar 10 15.8 (11.6, 21.5) 1.2 2.4 (-2.2, 17.1)
Jefferson County 6 stable similar 10 16.1 (11.7, 21.8) 1.3 -1.3 (-3.3, 0.5)
Carbon County 8 falling similar 16 16.1 (12.6, 20.5) 1.3 -2.4 (-4.1, -0.9)
Columbia County 6 stable similar 15 16.3 (12.7, 20.6) 1.3 -0.9 (-2.6, 0.7)
Juniata County 8 falling similar 6 16.4 (10.7, 24.4) 1.3 -3.7 (-6.4, -1.3)
Clinton County 8 falling similar 8 16.5 (11.7, 22.8) 1.3 -3.2 (-5.3, -1.6)
Elk County 6 stable similar 9 16.6 (12.0, 22.7) 1.3 -1.0 (-3.6, 1.7)
Blair County 4 stable higher 30 16.7 (14.0, 19.8) 1.3 12.2 (-2.5, 23.1)
Clarion County 4 stable higher 10 19.2 (14.0, 25.8) 1.5 -2.4 (-11.4, 0.3)
Mifflin County 4 stable higher 14 19.7 (15.2, 25.3) 1.5 -0.4 (-2.6, 1.8)
Cameron County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/12/2026 11:25 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Cameron County, Forest County, Fulton County, Sullivan County

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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