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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

Leukemia

All Races, Both Sexes

Sorted by count

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 ascending
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 - 23,489 5.8 (5.8, 5.9) - -1.8 (-2.0, -1.7)
Pennsylvania - falling - 1,091 6.1 (6.0, 6.3) - -1.7 (-2.2, -1.4)
Allegheny County 8 falling similar 114 6.4 (5.9, 7.0) 1.1 -0.8 (-1.5, -0.1)
Philadelphia County 9 falling lower 85 5.0 (4.5, 5.5) 0.9 -2.4 (-3.2, -1.7)
Montgomery County 8 falling similar 65 5.5 (4.9, 6.2) 0.9 -1.6 (-2.7, -0.5)
Bucks County 6 stable similar 59 6.3 (5.5, 7.0) 1.1 -1.1 (-2.2, 0.0)
Lancaster County 8 falling similar 50 6.3 (5.5, 7.2) 1.1 -1.1 (-2.1, 0.0)
Westmoreland County 6 stable similar 40 6.7 (5.7, 7.7) 1.1 -0.8 (-1.6, 0.0)
Chester County 6 stable similar 40 5.9 (5.1, 6.8) 1.0 -1.2 (-2.5, 0.1)
Delaware County 8 falling similar 39 5.3 (4.6, 6.2) 0.9 -1.9 (-3.0, -0.9)
York County 8 falling similar 36 6.0 (5.1, 6.9) 1.0 -1.4 (-2.8, -0.1)
Berks County 8 falling similar 34 6.0 (5.1, 7.1) 1.0 -1.3 (-2.4, -0.2)
Luzerne County 6 stable similar 29 6.5 (5.4, 7.7) 1.1 -0.8 (-1.8, 0.2)
Lehigh County 8 falling similar 28 6.1 (5.1, 7.2) 1.0 -1.5 (-3.0, 0.0)
Northampton County 8 falling similar 27 6.0 (5.0, 7.2) 1.0 -2.9 (-15.4, -0.7)
Butler County 4 stable higher 26 9.3 (7.7, 11.1) 1.6 1.4 (0.0, 3.0)
Erie County 6 stable similar 24 6.6 (5.4, 7.9) 1.1 0.1 (-1.5, 1.8)
Dauphin County 6 stable similar 21 5.8 (4.7, 7.0) 1.0 -1.0 (-2.4, 0.5)
Lackawanna County 6 stable similar 21 6.6 (5.4, 8.1) 1.1 -1.0 (-2.5, 0.5)
Washington County 6 stable similar 21 6.6 (5.4, 8.2) 1.1 -1.2 (-2.8, 0.4)
Cumberland County 9 falling lower 18 4.8 (3.9, 6.0) 0.8 -2.0 (-3.6, -0.5)
Schuylkill County 6 stable similar 16 7.5 (5.9, 9.4) 1.3 -0.9 (-2.4, 0.4)
Beaver County 6 stable similar 15 5.8 (4.5, 7.5) 1.0 -1.4 (-3.5, 0.6)
Franklin County 6 stable similar 15 6.5 (5.1, 8.3) 1.1 -0.9 (-2.6, 0.7)
Blair County 6 stable similar 13 7.3 (5.6, 9.5) 1.3 -1.3 (-3.3, 0.6)
Lebanon County 6 stable similar 13 5.9 (4.5, 7.7) 1.0 -2.0 (-4.3, 0.2)
Monroe County 6 stable similar 12 5.4 (4.1, 7.1) 0.9 -0.9 (-3.2, 1.6)
Cambria County 8 falling similar 11 5.2 (3.9, 6.9) 0.9 -1.7 (-3.7, -0.1)
Fayette County 6 stable similar 11 5.5 (4.1, 7.3) 0.9 -1.0 (-3.4, 1.1)
Clearfield County 4 stable higher 10 9.0 (6.6, 12.0) 1.5 0.6 (-2.4, 3.7)
Mercer County 6 stable similar 10 5.7 (4.2, 7.6) 1.0 -1.3 (-3.0, 0.3)
Crawford County 1 rising higher 10 8.2 (6.0, 11.0) 1.4 16.0 (1.8, 32.6)
Adams County 6 stable similar 10 6.6 (4.9, 8.9) 1.1 -1.3 (-3.8, 1.2)
Northumberland County 6 stable similar 10 6.9 (5.0, 9.3) 1.2 -1.1 (-3.2, 0.9)
Lawrence County 6 stable similar 9 6.6 (4.8, 9.0) 1.1 -0.8 (-2.8, 1.1)
Lycoming County 6 stable similar 8 5.1 (3.7, 7.1) 0.9 -0.4 (-2.7, 2.1)
Centre County 9 falling lower 8 4.4 (3.1, 6.1) 0.8 -3.7 (-6.2, -1.5)
Indiana County 6 stable similar 8 6.8 (4.7, 9.5) 1.2 0.3 (-1.8, 2.6)
Somerset County 6 stable similar 8 6.3 (4.4, 9.0) 1.1 -1.6 (-4.5, 1.0)
Columbia County 6 stable similar 7 8.3 (5.7, 11.9) 1.4 -0.3 (-3.7, 3.2)
Carbon County 6 stable similar 7 7.2 (4.9, 10.4) 1.2 -2.8 (-31.5, 0.6)
Pike County 6 stable similar 7 7.3 (5.0, 10.5) 1.2 0.3 (-2.0, 3.2)
Bradford County 6 stable similar 6 7.1 (4.7, 10.5) 1.2 0.2 (-2.6, 3.0)
Armstrong County 6 stable similar 5 5.4 (3.4, 8.1) 0.9 0.1 (-2.8, 3.0)
Clarion County 4 stable higher 5 10.0 (6.4, 15.1) 1.7 1.1 (-3.3, 5.9)
Mifflin County 6 stable similar 5 6.7 (4.4, 10.1) 1.2 -1.7 (-5.4, 2.1)
Warren County 6 stable similar 5 7.4 (4.8, 11.4) 1.3 0.0 (-2.4, 2.7)
Wayne County 6 stable similar 5 5.9 (3.8, 9.2) 1.0 -3.0 (-7.2, 0.8)
Bedford County 8 falling similar 5 5.3 (3.4, 8.4) 0.9 -2.9 (-6.0, 0.0)
Tioga County 8 falling similar 5 6.5 (4.1, 10.2) 1.1 -3.3 (-5.8, -1.0)
Elk County 6 stable similar 4 7.8 (4.8, 12.4) 1.3 -0.2 (-3.0, 2.8)
Venango County 6 stable similar 4 5.3 (3.1, 8.5) 0.9 -1.6 (-5.4, 1.9)
Perry County 6 stable similar 4 6.3 (3.8, 10.1) 1.1 -2.6 (-5.8, 0.4)
Clinton County
**
** similar 4 7.4 (4.6, 11.6) 1.3
**
Greene County
**
** similar 4 7.6 (4.4, 12.5) 1.3
**
Huntingdon County
**
** similar 4 5.7 (3.5, 9.1) 1.0
**
Jefferson County
**
** similar 6 7.8 (5.2, 11.6) 1.3
**
McKean County
**
** similar 3 5.2 (2.9, 8.8) 0.9
**
Snyder County
**
** similar 3 5.5 (3.1, 9.3) 0.9
**
Susquehanna County
**
** similar 4 5.5 (3.1, 9.2) 0.9
**
Union County
**
** similar 4 6.2 (3.7, 10.0) 1.1
**
Cameron County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Juniata County
**
**
*
3 or fewer
*
*
**
Montour County
**
**
*
3 or fewer
*
*
**
Potter County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/16/2026 11:44 pm.

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.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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, Juniata County, Montour County, Potter County, Sullivan County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Clinton County, Greene County, Huntingdon County, Jefferson County, McKean County, Snyder County, Susquehanna County, Union 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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