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Incidence Rates Table

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Incidence Rate Report for Pennsylvania by County

Non-Hodgkin Lymphoma (All Stages^), 2015-2019

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

Sorted by Rate
County
 sort alphabetically by name ascending
Age-Adjusted Incidence Rate
cases 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 Incidence Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania 6 20.4 (20.0, 20.7) N/A 3,387 falling falling trend -2.5 (-4.0, -1.0)
US (SEER+NPCR) 1 19.0 (18.9, 19.0) N/A 71,841 falling falling trend -1.8 (-2.4, -1.3)
Montour County 6 30.8 (21.8, 42.6) 1 (1, 57) 8 stable stable trend 0.3 (-3.6, 4.3)
Perry County 6 26.4 (20.8, 33.2) 2 (1, 52) 16 stable stable trend 0.5 (-1.0, 2.0)
Northumberland County 6 25.0 (21.1, 29.5) 3 (1, 46) 33 stable stable trend 1.0 (-0.8, 2.9)
Fulton County 6 24.9 (15.8, 37.9) 4 (1, 64) 5 stable stable trend -30.1 (-65.7, 42.8)
Juniata County 6 24.0 (17.2, 33.0) 5 (1, 63) 8 stable stable trend -0.5 (-3.8, 3.0)
Columbia County 6 23.4 (18.8, 28.9) 6 (1, 58) 20 stable stable trend 1.5 (-0.2, 3.3)
Greene County 6 23.0 (17.0, 30.5) 7 (1, 63) 11 stable stable trend 1.2 (-1.7, 4.1)
Franklin County 6 22.8 (19.9, 26.1) 8 (2, 49) 47 stable stable trend 0.2 (-1.1, 1.5)
Jefferson County 6 22.8 (17.5, 29.2) 9 (1, 62) 14 stable stable trend 1.4 (-1.8, 4.7)
Crawford County 6 22.7 (18.9, 27.2) 10 (1, 57) 27 stable stable trend 0.6 (-1.4, 2.6)
Northampton County 6 22.4 (20.3, 24.7) 11 (3, 43) 91 stable stable trend -5.1 (-10.5, 0.6)
Mifflin County 6 22.4 (17.6, 28.3) 12 (1, 62) 16 stable stable trend -0.4 (-2.4, 1.6)
Somerset County 6 22.2 (18.4, 26.7) 13 (1, 59) 26 stable stable trend -0.3 (-2.6, 2.0)
Montgomery County 6 22.2 (20.9, 23.5) 14 (4, 35) 234 stable stable trend 0.3 (-0.5, 1.0)
Berks County 6 22.0 (20.2, 24.0) 15 (3, 43) 115 stable stable trend -0.1 (-0.9, 0.8)
Erie County 6 21.8 (19.5, 24.2) 16 (3, 51) 75 stable stable trend 0.1 (-0.9, 1.1)
Beaver County 6 21.5 (18.9, 24.5) 17 (3, 56) 53 stable stable trend 0.5 (-0.9, 2.0)
Delaware County 6 21.3 (19.7, 22.9) 18 (6, 47) 145 stable stable trend 0.0 (-0.8, 0.9)
Luzerne County 6 21.3 (19.3, 23.4) 19 (4, 51) 93 stable stable trend 0.6 (-0.6, 1.9)
Dauphin County 6 21.0 (18.8, 23.4) 20 (4, 54) 71 stable stable trend -0.2 (-1.2, 0.8)
Washington County 6 21.0 (18.7, 23.6) 21 (4, 55) 63 stable stable trend -0.4 (-1.3, 0.6)
Armstrong County 6 20.7 (16.7, 25.5) 22 (2, 62) 21 stable stable trend 0.3 (-2.0, 2.7)
Lancaster County 6 20.6 (19.1, 22.3) 23 (8, 52) 140 stable stable trend -0.4 (-1.5, 0.8)
Schuylkill County 6 20.5 (17.7, 23.6) 24 (4, 59) 42 stable stable trend 0.6 (-0.7, 1.9)
Allegheny County 6 20.5 (19.5, 21.6) 25 (13, 46) 335 stable stable trend -0.6 (-1.2, 0.0)
Cambria County 6 20.5 (17.7, 23.6) 26 (4, 60) 43 stable stable trend -0.5 (-1.8, 0.8)
Venango County 6 20.5 (15.9, 26.1) 27 (2, 63) 16 stable stable trend 1.0 (-1.8, 3.8)
Snyder County 6 20.3 (15.3, 26.7) 28 (1, 64) 11 stable stable trend -0.1 (-3.2, 3.0)
Blair County 6 20.1 (17.1, 23.6) 29 (4, 61) 36 stable stable trend 0.3 (-1.0, 1.7)
Butler County 6 20.1 (17.6, 22.8) 30 (5, 60) 52 stable stable trend -0.2 (-1.6, 1.3)
Lehigh County 6 20.1 (18.2, 22.0) 31 (8, 56) 91 stable stable trend -0.8 (-1.8, 0.2)
Bucks County 6 20.0 (18.7, 21.5) 32 (13, 53) 174 falling falling trend -4.3 (-8.3, -0.2)
York County 6 20.0 (18.4, 21.7) 33 (11, 56) 115 stable stable trend -0.4 (-1.4, 0.6)
Lebanon County 6 20.0 (17.2, 23.1) 34 (5, 61) 39 stable stable trend -0.4 (-1.9, 1.1)
Wayne County 6 19.8 (15.6, 25.0) 35 (2, 63) 17 stable stable trend -0.2 (-2.1, 1.7)
Monroe County 6 19.8 (17.1, 22.8) 36 (5, 61) 43 stable stable trend -0.4 (-1.3, 0.5)
Chester County 6 19.8 (18.2, 21.5) 37 (11, 56) 121 falling falling trend -5.9 (-11.1, -0.4)
Warren County 6 19.7 (14.9, 25.8) 38 (2, 64) 13 stable stable trend -0.2 (-3.3, 2.9)
Lycoming County 6 19.6 (16.5, 23.1) 39 (4, 62) 31 stable stable trend 0.3 (-1.5, 2.1)
Potter County 6 19.5 (12.1, 30.4) 40 (1, 64) 5
*
*
Mercer County 6 19.4 (16.4, 22.9) 41 (5, 62) 32 stable stable trend -0.6 (-1.8, 0.7)
Lackawanna County 6 19.3 (17.1, 21.9) 42 (9, 60) 57 stable stable trend 5.7 (-1.8, 13.7)
Centre County 6 19.1 (16.2, 22.4) 43 (6, 62) 33 stable stable trend -0.5 (-1.7, 0.6)
Huntingdon County 6 19.0 (14.4, 24.8) 44 (2, 64) 12 stable stable trend -0.8 (-3.7, 2.3)
Union County 6 19.0 (14.3, 24.9) 45 (2, 64) 11 stable stable trend 0.1 (-3.2, 3.6)
Fayette County 6 19.0 (16.2, 22.2) 46 (7, 62) 36 falling falling trend -2.2 (-3.9, -0.5)
Clarion County 6 19.0 (13.8, 25.6) 47 (2, 64) 10 stable stable trend -0.7 (-4.1, 2.9)
Philadelphia County 6 18.9 (17.9, 19.9) 48 (28, 57) 312 falling falling trend -5.8 (-11.1, -0.2)
Clearfield County 6 18.8 (15.2, 23.0) 49 (5, 63) 21 falling falling trend -2.2 (-4.1, -0.2)
Indiana County 6 18.7 (15.0, 23.0) 50 (4, 63) 20 stable stable trend 0.4 (-1.3, 2.1)
Pike County 6 18.4 (14.3, 23.4) 51 (3, 64) 16 stable stable trend -0.6 (-3.4, 2.3)
Tioga County 6 18.3 (13.5, 24.3) 52 (3, 64) 11 stable stable trend -2.5 (-6.3, 1.3)
Cumberland County 6 18.2 (16.2, 20.5) 53 (15, 62) 60 stable stable trend -0.9 (-2.6, 1.0)
Westmoreland County 6 18.2 (16.6, 20.0) 54 (24, 61) 102 falling falling trend -1.5 (-2.6, -0.4)
Bradford County 6 18.2 (14.3, 23.0) 55 (5, 64) 16 stable stable trend -0.7 (-3.1, 1.7)
Adams County 6 18.2 (15.1, 21.7) 56 (8, 63) 27 stable stable trend -2.0 (-4.2, 0.3)
Lawrence County 6 18.1 (14.8, 21.9) 57 (8, 64) 24 stable stable trend -1.5 (-3.5, 0.5)
Carbon County 6 17.6 (13.8, 22.3) 58 (6, 64) 16 stable stable trend -1.1 (-3.6, 1.4)
Elk County 6 17.0 (11.6, 24.4) 59 (2, 64) 7 stable stable trend -0.7 (-4.4, 3.1)
Bedford County 6 16.7 (12.6, 21.8) 60 (7, 64) 13 falling falling trend -2.7 (-5.2, -0.2)
Susquehanna County 6 16.7 (12.2, 22.5) 61 (5, 64) 10 stable stable trend 0.2 (-3.6, 4.2)
Clinton County 6 15.0 (10.4, 21.0) 62 (8, 64) 7 stable stable trend -1.2 (-4.3, 2.0)
Wyoming County 6 14.7 (9.5, 22.0) 63 (6, 64) 6 stable stable trend -3.3 (-6.9, 0.4)
McKean County 6 13.0 (8.9, 18.5) 64 (21, 64) 7 falling falling trend -4.4 (-7.3, -1.5)
Cameron County 6
*
*
3 or fewer
*
*
Forest County 6
*
*
3 or fewer
*
*
Sullivan County 6
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2022 3:49 pm.

State Cancer Registries may provide more current or more local data.

Data cannot be shown for the following areas. For more information on what areas are suppressed or not available, please refer to the table.
Cameron, Forest, Sullivan

⋔ 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.

† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.
Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
* 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).

Source: SEER and NPCR data. For more specific information please see the table.

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 the United States does not include data from Nevada.
Data for the 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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