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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Pennsylvania Counties versus United States

Uterus (Corpus & Uterus, NOS)

All Races, Female

Sorted by priority index
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 - rising rising trend - 11,303 5.1 (5.0, 5.1) - 0.7 (0.1, 1.4)
Pennsylvania - rising rising trend - 576 5.8 (5.5, 6.0) - 0.8 (0.5, 1.1)
Delaware County 1 rising rising trend higher 29 6.8 (5.7, 8.1) 1.3 1.8 (1.0, 2.6)
Lackawanna County 1 rising rising trend higher 13 6.9 (5.2, 9.0) 1.4 1.5 (0.3, 2.8)
Philadelphia County 1 rising rising trend higher 81 7.9 (7.1, 8.7) 1.6 1.6 (1.0, 2.2)
Allegheny County 2 rising rising trend similar 57 5.5 (4.9, 6.2) 1.1 0.8 (0.4, 1.3)
Berks County 2 rising rising trend similar 14 4.6 (3.6, 5.9) 0.9 1.2 (0.2, 2.3)
Cumberland County 2 rising rising trend similar 11 5.6 (4.2, 7.4) 1.1 2.3 (0.5, 4.1)
Lehigh County 2 rising rising trend similar 16 5.8 (4.5, 7.3) 1.1 1.5 (0.4, 2.6)
Montgomery County 2 rising rising trend similar 37 5.7 (4.9, 6.6) 1.1 1.5 (0.5, 2.5)
Northampton County 4 stable stable trend higher 17 6.8 (5.4, 8.5) 1.3 1.2 (-0.2, 2.7)
Beaver County 6 stable stable trend similar 9 6.2 (4.5, 8.5) 1.2 0.6 (-1.0, 2.2)
Bucks County 6 stable stable trend similar 24 4.7 (3.9, 5.7) 0.9 0.0 (-1.2, 1.2)
Butler County 6 stable stable trend similar 10 6.7 (4.9, 9.0) 1.3 0.7 (-0.8, 2.3)
Cambria County 6 stable stable trend similar 5 4.1 (2.6, 6.3) 0.8 -0.6 (-2.2, 0.9)
Chester County 6 stable stable trend similar 16 4.3 (3.4, 5.4) 0.9 1.0 (-0.4, 2.4)
Dauphin County 6 stable stable trend similar 12 5.9 (4.5, 7.7) 1.2 1.2 (-0.3, 2.7)
Erie County 6 stable stable trend similar 11 5.1 (3.7, 6.8) 1.0 -0.5 (-1.8, 0.8)
Fayette County 6 stable stable trend similar 8 7.2 (5.0, 10.0) 1.4 0.9 (-0.2, 2.1)
Lancaster County 6 stable stable trend similar 22 5.6 (4.5, 6.8) 1.1 0.5 (-0.6, 1.6)
Lebanon County 6 stable stable trend similar 7 6.6 (4.5, 9.3) 1.3 1.1 (-0.4, 2.7)
Luzerne County 6 stable stable trend similar 15 5.7 (4.4, 7.3) 1.1 -0.1 (-1.4, 1.3)
Lycoming County 6 stable stable trend similar 5 5.5 (3.5, 8.4) 1.1 0.9 (-0.6, 2.4)
Monroe County 6 stable stable trend similar 9 7.2 (5.1, 9.9) 1.4 0.6 (-1.2, 2.4)
Schuylkill County 6 stable stable trend similar 8 6.9 (4.9, 9.6) 1.4 0.4 (-0.8, 1.7)
Somerset County 6 stable stable trend similar 4 5.7 (3.4, 9.4) 1.1 0.7 (-1.1, 2.5)
Washington County 6 stable stable trend similar 8 4.8 (3.4, 6.7) 1.0 -0.5 (-1.5, 0.7)
Westmoreland County 6 stable stable trend similar 16 4.7 (3.7, 6.0) 0.9 0.3 (-0.5, 1.1)
York County 6 stable stable trend similar 17 5.1 (4.0, 6.4) 1.0 -0.4 (-1.3, 0.6)
Adams County
**
** similar 3 3.8 (2.2, 6.5) 0.8
**
Armstrong County
**
** similar 3 5.2 (3.0, 9.0) 1.0
**
Blair County
**
** similar 4 3.8 (2.3, 6.2) 0.8
**
Carbon County
**
** similar 4 7.4 (4.3, 12.3) 1.5
**
Centre County
**
** similar 5 5.3 (3.4, 7.9) 1.0
**
Clearfield County
**
** similar 4 5.6 (3.3, 9.3) 1.1
**
Crawford County
**
** similar 4 6.6 (4.0, 10.4) 1.3
**
Franklin County
**
** similar 5 4.7 (3.0, 7.1) 0.9
**
Indiana County
**
** similar 4 7.1 (4.3, 11.2) 1.4
**
Lawrence County
**
** similar 5 7.5 (4.5, 11.9) 1.5
**
Mercer County
**
** similar 6 5.6 (3.7, 8.5) 1.1
**
Northumberland County
**
** similar 4 4.8 (3.0, 7.8) 1.0
**
Wayne County
**
** similar 3 7.7 (4.3, 13.5) 1.5
**
Bedford County
**
**
*
3 or fewer
*
*
**
Bradford County
**
**
*
3 or fewer
*
*
**
Cameron County
**
**
*
3 or fewer
*
*
**
Clarion County
**
**
*
3 or fewer
*
*
**
Clinton County
**
**
*
3 or fewer
*
*
**
Columbia County
**
**
*
3 or fewer
*
*
**
Elk County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Greene County
**
**
*
3 or fewer
*
*
**
Huntingdon County
**
**
*
3 or fewer
*
*
**
Jefferson County
**
**
*
3 or fewer
*
*
**
Juniata County
**
**
*
3 or fewer
*
*
**
McKean County
**
**
*
3 or fewer
*
*
**
Mifflin County
**
**
*
3 or fewer
*
*
**
Montour County
**
**
*
3 or fewer
*
*
**
Perry County
**
**
*
3 or fewer
*
*
**
Pike County
**
**
*
3 or fewer
*
*
**
Potter County
**
**
*
3 or fewer
*
*
**
Snyder County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Susquehanna County
**
**
*
3 or fewer
*
*
**
Tioga County
**
**
*
3 or fewer
*
*
**
Union County
**
**
*
3 or fewer
*
*
**
Venango County
**
**
*
3 or fewer
*
*
**
Warren County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 2:04 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 Version 4.8.0.0. 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 (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 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:
Bedford County, Bradford County, Cameron County, Clarion County, Clinton County, Columbia County, Elk County, Forest County, Fulton County, Greene County, Huntingdon County, Jefferson County, Juniata County, McKean County, Mifflin County, Montour County, Perry County, Pike County, Potter County, Snyder County, Sullivan County, Susquehanna County, Tioga County, Union County, Venango County, Warren County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Adams County, Armstrong County, Blair County, Carbon County, Centre County, Clearfield County, Crawford County, Franklin County, Indiana County, Lawrence County, Mercer County, Northumberland County, Wayne 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 does not include Puerto Rico.

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