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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

Non-Hodgkin Lymphoma

All Races, Both Sexes

Sorted by priority index

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

 sort by priority index ascending
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 - 20,047 4.9 (4.9, 4.9) - -2.6 (-2.8, -2.3)
Pennsylvania - falling - 942 5.2 (5.1, 5.4) - -2.3 (-2.5, -2.1)
Bucks County 9 falling lower 41 4.3 (3.7, 5.0) 0.9 -3.0 (-3.9, -2.2)
Philadelphia County 9 falling lower 71 4.1 (3.7, 4.6) 0.8 -3.1 (-3.8, -2.6)
Adams County 8 falling similar 8 5.2 (3.7, 7.1) 1.0 -2.8 (-5.0, -0.6)
Armstrong County 8 falling similar 5 4.9 (3.2, 7.5) 1.0 -3.0 (-4.9, -1.3)
Beaver County 8 falling similar 13 4.8 (3.7, 6.3) 1.0 -2.7 (-4.8, -0.9)
Berks County 8 falling similar 31 5.6 (4.7, 6.5) 1.1 -1.3 (-2.5, -0.1)
Carbon County 8 falling similar 4 4.1 (2.5, 6.5) 0.8 -3.9 (-6.3, -2.0)
Centre County 8 falling similar 11 6.0 (4.5, 8.0) 1.2 -2.3 (-4.3, -0.2)
Chester County 8 falling similar 31 4.7 (4.0, 5.5) 1.0 -2.4 (-3.6, -1.2)
Columbia County 8 falling similar 4 4.1 (2.4, 6.5) 0.8 -2.7 (-5.6, 0.0)
Cumberland County 8 falling similar 21 5.6 (4.6, 6.9) 1.1 -1.8 (-3.6, -0.1)
Delaware County 8 falling similar 31 4.3 (3.6, 5.0) 0.9 -20.0 (-36.6, -1.9)
Erie County 8 falling similar 22 5.8 (4.7, 7.0) 1.2 -2.1 (-3.7, -0.6)
Fayette County 8 falling similar 13 6.1 (4.7, 7.9) 1.2 -2.7 (-4.1, -1.5)
Franklin County 8 falling similar 13 5.8 (4.4, 7.4) 1.2 -2.4 (-3.9, -1.0)
Indiana County 8 falling similar 5 4.4 (2.8, 6.7) 0.9 -3.5 (-6.6, -1.0)
Jefferson County 8 falling similar 5 7.4 (4.7, 11.3) 1.5 -38.8 (-61.3, -2.2)
Lackawanna County 8 falling similar 18 5.6 (4.5, 7.0) 1.1 -1.8 (-3.3, -0.4)
Lawrence County 8 falling similar 8 5.5 (3.9, 7.7) 1.1 -2.9 (-4.9, -1.1)
Lehigh County 8 falling similar 21 4.3 (3.5, 5.3) 0.9 -2.6 (-4.0, -1.3)
Luzerne County 8 falling similar 21 4.5 (3.7, 5.5) 0.9 -2.7 (-3.9, -1.8)
Mercer County 8 falling similar 9 4.6 (3.4, 6.3) 0.9 -2.2 (-4.5, -0.1)
Monroe County 8 falling similar 9 4.3 (3.1, 5.8) 0.9 -3.4 (-5.8, -1.2)
Montgomery County 8 falling similar 59 4.9 (4.4, 5.5) 1.0 -2.8 (-3.8, -1.8)
Northampton County 8 falling similar 23 4.9 (4.1, 6.0) 1.0 -18.5 (-34.4, -2.5)
Perry County 8 falling similar 3 5.0 (2.8, 8.4) 1.0 -6.1 (-8.9, -4.0)
Washington County 8 falling similar 16 4.8 (3.8, 6.1) 1.0 -2.8 (-4.2, -1.6)
Wayne County 8 falling similar 6 5.9 (3.9, 9.0) 1.2 -3.4 (-6.6, -0.5)
York County 8 falling similar 36 5.8 (4.9, 6.7) 1.2 -2.4 (-3.4, -1.4)
Bedford County 6 stable similar 4 5.2 (3.1, 8.4) 1.0 -0.7 (-4.0, 2.4)
Bradford County 6 stable similar 5 5.5 (3.6, 8.3) 1.1 -1.1 (-3.4, 1.3)
Butler County 6 stable similar 15 5.5 (4.3, 6.9) 1.1 13.1 (-1.1, 25.0)
Clearfield County 6 stable similar 8 6.2 (4.3, 8.7) 1.3 -2.1 (-4.8, 0.3)
Crawford County 6 stable similar 9 6.5 (4.6, 8.9) 1.3 -0.6 (-2.7, 1.6)
Dauphin County 6 stable similar 21 5.7 (4.6, 6.9) 1.2 -1.6 (-3.3, 0.0)
Lebanon County 6 stable similar 14 6.3 (4.9, 8.1) 1.3 -1.4 (-3.1, 0.3)
Lycoming County 6 stable similar 11 6.4 (4.8, 8.5) 1.3 -0.2 (-2.1, 1.7)
Mifflin County 6 stable similar 5 6.7 (4.3, 10.1) 1.4 -1.7 (-4.2, 0.8)
Northumberland County 6 stable similar 10 6.7 (4.9, 9.0) 1.4 -0.6 (-3.2, 2.0)
Schuylkill County 6 stable similar 10 4.9 (3.6, 6.5) 1.0 -1.2 (-3.1, 0.5)
Somerset County 6 stable similar 8 6.5 (4.5, 9.0) 1.3 -1.4 (-4.8, 1.8)
Venango County 6 stable similar 5 5.9 (3.7, 9.1) 1.2 -2.8 (-6.2, 0.3)
Warren County 6 stable similar 4 5.8 (3.5, 9.4) 1.2 -0.6 (-4.1, 2.9)
Allegheny County 5 falling higher 96 5.4 (4.9, 6.0) 1.1 -2.6 (-3.2, -2.1)
Westmoreland County 5 falling higher 38 6.3 (5.4, 7.3) 1.3 -1.7 (-2.8, -0.5)
Cambria County 4 stable higher 14 6.8 (5.2, 8.7) 1.4 -0.7 (-2.8, 1.2)
Huntingdon County 4 stable higher 6 8.4 (5.5, 12.5) 1.7 -0.8 (-2.9, 1.6)
Lancaster County 4 stable higher 47 5.8 (5.1, 6.6) 1.2 2.1 (-2.5, 12.4)
Blair County 1 rising higher 17 8.8 (7.0, 11.0) 1.8 17.3 (6.2, 40.3)
Clarion County
**
** similar 3 6.6 (3.6, 11.1) 1.3
**
McKean County
**
** similar 3 4.8 (2.7, 8.2) 1.0
**
Pike County
**
** similar 4 4.2 (2.6, 6.6) 0.8
**
Susquehanna County
**
** similar 5 6.8 (4.3, 10.7) 1.4
**
Cameron County
**
**
*
3 or fewer
*
*
**
Clinton County
**
**
*
3 or fewer
*
*
**
Elk County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Greene County
**
**
*
3 or fewer
*
*
**
Juniata County
**
**
*
3 or fewer
*
*
**
Montour County
**
**
*
3 or fewer
*
*
**
Potter County
**
**
*
3 or fewer
*
*
**
Snyder County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Tioga County
**
**
*
3 or fewer
*
*
**
Union County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/14/2026 2:55 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.
** 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, Clinton County, Elk County, Forest County, Fulton County, Greene County, Juniata County, Montour County, Potter County, Snyder County, Sullivan County, Tioga County, Union County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Clarion County, McKean County, Pike County, Susquehanna 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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