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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Wisconsin Counties versus United States

Ovary

All Races, Female

Sorted by name
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 falling trend - 13,809 6.3 (6.3, 6.4) - -3.4 (-4.6, -2.2)
Wisconsin - falling falling trend - 252 6.2 (5.8, 6.5) - -3.6 (-4.5, -2.7)
Wood County
**
** similar 5 8.2 (5.1, 12.7) 1.3
**
Winnebago County 6 stable stable trend similar 7 6.6 (4.6, 9.3) 1.1 -1.0 (-2.3, 0.4)
Waushara County
**
**
*
3 or fewer
*
*
**
Waupaca County
**
**
*
3 or fewer
*
*
**
Waukesha County 8 falling falling trend similar 23 7.5 (6.1, 9.1) 1.2 -1.2 (-2.2, -0.2)
Washington County 8 falling falling trend similar 7 7.0 (4.9, 9.9) 1.1 -2.3 (-3.8, -0.7)
Washburn County
**
**
*
3 or fewer
*
*
**
Walworth County 8 falling falling trend similar 6 8.5 (5.6, 12.4) 1.3 -2.6 (-4.3, -1.0)
Vilas County
**
**
*
3 or fewer
*
*
**
Vernon County
**
**
*
3 or fewer
*
*
**
Trempealeau County
**
**
*
3 or fewer
*
*
**
Taylor County
**
**
*
3 or fewer
*
*
**
St. Croix County
**
** similar 3 6.6 (3.8, 10.7) 1.0
**
Sheboygan County 6 stable stable trend similar 7 8.6 (6.0, 12.2) 1.4 -0.8 (-2.0, 0.4)
Shawano County
**
**
*
3 or fewer
*
*
**
Sawyer County
**
**
*
3 or fewer
*
*
**
Sauk County
**
** similar 3 6.7 (3.8, 11.4) 1.1
**
Rusk County
**
**
*
3 or fewer
*
*
**
Rock County 8 falling falling trend similar 8 6.5 (4.6, 9.0) 1.0 -1.9 (-3.4, -0.3)
Richland County
**
**
*
3 or fewer
*
*
**
Racine County 8 falling falling trend similar 7 5.0 (3.4, 7.2) 0.8 -2.7 (-4.1, -1.3)
Price County
**
**
*
3 or fewer
*
*
**
Portage County
**
**
*
3 or fewer
*
*
**
Polk County
**
**
*
3 or fewer
*
*
**
Pierce County
**
**
*
3 or fewer
*
*
**
Pepin County
**
**
*
3 or fewer
*
*
**
Ozaukee County 8 falling falling trend similar 6 8.7 (5.9, 12.6) 1.4 -2.2 (-4.0, -0.4)
Outagamie County 8 falling falling trend similar 7 5.6 (3.8, 7.9) 0.9 -2.1 (-3.5, -0.7)
Oneida County
**
**
*
3 or fewer
*
*
**
Oconto County
**
**
*
3 or fewer
*
*
**
Monroe County
**
**
*
3 or fewer
*
*
**
Milwaukee County 8 falling falling trend similar 39 6.7 (5.8, 7.7) 1.1 -2.0 (-2.6, -1.5)
Menominee County
**
**
*
3 or fewer
*
*
**
Marquette County
**
**
*
3 or fewer
*
*
**
Marinette County
**
**
*
3 or fewer
*
*
**
Marathon County 6 stable stable trend similar 8 8.0 (5.7, 11.1) 1.3 0.0 (-1.7, 1.6)
Manitowoc County 6 stable stable trend similar 6 9.0 (5.9, 13.6) 1.4 -1.2 (-2.9, 0.4)
Lincoln County
**
**
*
3 or fewer
*
*
**
Langlade County
**
**
*
3 or fewer
*
*
**
Lafayette County
**
**
*
3 or fewer
*
*
**
La Crosse County 6 stable stable trend similar 4 5.2 (3.2, 8.2) 0.8 -1.6 (-3.4, 0.3)
Kewaunee County
**
**
*
3 or fewer
*
*
**
Kenosha County 6 stable stable trend similar 5 5.0 (3.2, 7.4) 0.8 -1.7 (-3.6, 0.3)
Juneau County
**
**
*
3 or fewer
*
*
**
Jefferson County 8 falling falling trend similar 3 5.1 (3.0, 8.5) 0.8 -2.6 (-4.7, -0.5)
Jackson County
**
**
*
3 or fewer
*
*
**
Iron County
**
**
*
3 or fewer
*
*
**
Iowa County
**
**
*
3 or fewer
*
*
**
Green Lake County
**
**
*
3 or fewer
*
*
**
Green County
**
**
*
3 or fewer
*
*
**
Grant County
**
**
*
3 or fewer
*
*
**
Forest County
**
**
*
3 or fewer
*
*
**
Fond du Lac County 8 falling falling trend similar 5 6.1 (3.9, 9.4) 1.0 -2.6 (-4.9, -0.2)
Florence County
**
**
*
3 or fewer
*
*
**
Eau Claire County
**
** similar 4 5.9 (3.4, 9.4) 0.9
**
Dunn County
**
**
*
3 or fewer
*
*
**
Douglas County
**
**
*
3 or fewer
*
*
**
Door County
**
**
*
3 or fewer
*
*
**
Dodge County
**
**
*
3 or fewer
*
*
**
Dane County 8 falling falling trend similar 19 5.8 (4.7, 7.2) 0.9 -9.2 (-15.2, -2.8)
Crawford County
**
**
*
3 or fewer
*
*
**
Columbia County
**
**
*
3 or fewer
*
*
**
Clark County
**
**
*
3 or fewer
*
*
**
Chippewa County
**
**
*
3 or fewer
*
*
**
Calumet County
**
**
*
3 or fewer
*
*
**
Burnett County
**
**
*
3 or fewer
*
*
**
Buffalo County
**
**
*
3 or fewer
*
*
**
Brown County 9 falling falling trend lower 8 4.4 (3.1, 6.1) 0.7 -2.1 (-3.9, -0.4)
Bayfield County
**
**
*
3 or fewer
*
*
**
Barron County
**
**
*
3 or fewer
*
*
**
Ashland County
**
**
*
3 or fewer
*
*
**
Adams County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/23/2024 10:45 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:
Adams County, Ashland County, Barron County, Bayfield County, Buffalo County, Burnett County, Calumet County, Chippewa County, Clark County, Columbia County, Crawford County, Dodge County, Door County, Douglas County, Dunn County, Florence County, Forest County, Grant County, Green County, Green Lake County, Iowa County, Iron County, Jackson County, Juneau County, Kewaunee County, Lafayette County, Langlade County, Lincoln County, Marinette County, Marquette County, Menominee County, Monroe County, Oconto County, Oneida County, Pepin County, Pierce County, Polk County, Portage County, Price County, Richland County, Rusk County, Sawyer County, Shawano County, Taylor County, Trempealeau County, Vernon County, Vilas County, Washburn County, Waupaca County, Waushara County

Trend for the following could not be reliably determined due to small number of deaths per year:
Eau Claire County, Sauk County, St. Croix County, Wood 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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