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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

Wisconsin Counties versus United States

Liver & Bile Duct

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 - 28,750 6.6 (6.6, 6.7) - -0.3 (-0.5, -0.1)
Wisconsin - rising - 480 5.9 (5.7, 6.2) - 1.4 (1.0, 1.9)
Wood County 9 falling lower 5 4.1 (2.6, 6.2) 0.6 -12.4 (-37.5, -1.9)
Dane County 7 stable lower 30 4.9 (4.1, 5.8) 0.7 0.8 (-0.6, 2.5)
Dodge County 7 stable lower 6 4.8 (3.2, 7.1) 0.7 1.3 (-2.2, 5.5)
Ozaukee County 7 stable lower 7 4.9 (3.4, 7.0) 0.7 1.1 (-1.3, 4.2)
Sheboygan County 7 stable lower 8 5.0 (3.6, 6.9) 0.8 2.1 (-0.5, 5.5)
St. Croix County 7 stable lower 5 4.5 (2.9, 6.8) 0.7 -1.9 (-4.3, 0.9)
Waukesha County 7 stable lower 30 4.9 (4.1, 5.8) 0.7 0.2 (-1.5, 2.0)
Brown County 6 stable similar 18 5.6 (4.5, 7.0) 0.9 1.8 (-0.5, 4.6)
Columbia County 6 stable similar 6 7.0 (4.7, 10.2) 1.1 0.5 (-2.6, 4.1)
Fond du Lac County 6 stable similar 8 5.7 (4.1, 7.8) 0.9 2.1 (-0.7, 5.6)
Grant County 6 stable similar 4 4.6 (2.7, 7.6) 0.7 -0.1 (-2.7, 2.8)
Kenosha County 6 stable similar 14 6.8 (5.3, 8.7) 1.0 1.9 (-0.5, 5.1)
La Crosse County 6 stable similar 10 6.0 (4.4, 8.0) 0.9 0.9 (-1.5, 3.8)
Manitowoc County 6 stable similar 7 5.1 (3.5, 7.4) 0.8 1.0 (-1.2, 3.6)
Marathon County 6 stable similar 10 5.6 (4.1, 7.4) 0.8 1.5 (-0.5, 4.1)
Milwaukee County 6 stable similar 78 7.2 (6.5, 8.0) 1.1 -3.8 (-9.4, 0.1)
Oconto County 6 stable similar 5 8.0 (5.1, 12.3) 1.2 2.0 (-1.0, 6.5)
Polk County 6 stable similar 5 6.9 (4.4, 10.5) 1.0 1.3 (-1.6, 5.2)
Racine County 6 stable similar 19 6.8 (5.4, 8.4) 1.0 1.5 (-0.2, 3.7)
Sauk County 6 stable similar 6 6.3 (4.3, 9.2) 1.0 0.3 (-2.7, 3.9)
Walworth County 6 stable similar 9 6.3 (4.6, 8.5) 0.9 1.9 (-0.6, 5.3)
Waupaca County 6 stable similar 5 5.7 (3.6, 8.7) 0.9 2.6 (-0.7, 6.7)
Jefferson County 2 rising similar 9 7.4 (5.3, 10.1) 1.1 2.6 (0.2, 5.7)
Outagamie County 2 rising similar 13 5.8 (4.5, 7.4) 0.9 2.8 (0.9, 5.3)
Portage County 2 rising similar 6 7.0 (4.7, 10.1) 1.1 4.2 (2.0, 7.3)
Rock County 2 rising similar 16 7.2 (5.6, 9.0) 1.1 2.6 (1.3, 4.3)
Washington County 2 rising similar 13 6.7 (5.1, 8.6) 1.0 18.0 (2.2, 32.2)
Winnebago County 2 rising similar 15 6.8 (5.3, 8.6) 1.0 3.9 (1.9, 6.8)
Adams County
**
 		** similar 3 6.6 (3.7, 12.5) 1.0
**
Barron County
**
 		** similar 4 6.0 (3.7, 9.5) 0.9
**
Burnett County
**
 		** similar 3 7.9 (4.4, 14.9) 1.2
**
Chippewa County
**
 		** similar 4 4.8 (2.9, 7.4) 0.7
**
Douglas County
**
 		** similar 5 7.2 (4.5, 11.0) 1.1
**
Eau Claire County
**
 		** similar 7 5.5 (3.8, 7.7) 0.8
**
Langlade County
**
 		** similar 4 9.3 (5.5, 15.8) 1.4
**
Marinette County
**
 		** similar 5 6.8 (4.2, 10.8) 1.0
**
Monroe County
**
 		** similar 6 9.4 (6.2, 13.8) 1.4
**
Waushara County
**
 		** similar 3 6.5 (3.8, 11.4) 1.0
**
Ashland County
**
 		**
*
3 or fewer
*
*
**
Bayfield County
**
 		**
*
3 or fewer
*
*
**
Buffalo County
**
 		**
*
3 or fewer
*
*
**
Calumet County
**
 		**
*
3 or fewer
*
*
**
Clark County
**
 		**
*
3 or fewer
*
*
**
Crawford County
**
 		**
*
3 or fewer
*
*
**
Door County
**
 		**
*
3 or fewer
*
*
**
Dunn County
**
 		**
*
3 or fewer
*
*
**
Florence County
**
 		**
*
3 or fewer
*
*
**
Forest County
**
 		**
*
3 or fewer
*
*
**
Green County
**
 		**
*
3 or fewer
*
*
**
Green Lake County
**
 		**
*
3 or fewer
*
*
**
Iowa County
**
 		**
*
3 or fewer
*
*
**
Iron County
**
 		**
*
3 or fewer
*
*
**
Jackson County
**
 		**
*
3 or fewer
*
*
**
Juneau County
**
 		**
*
3 or fewer
*
*
**
Kewaunee County
**
 		**
*
3 or fewer
*
*
**
Lafayette County
**
 		**
*
3 or fewer
*
*
**
Lincoln County
**
 		**
*
3 or fewer
*
*
**
Marquette County
**
 		**
*
3 or fewer
*
*
**
Menominee County
**
 		**
*
3 or fewer
*
*
**
Oneida County
**
 		**
*
3 or fewer
*
*
**
Pepin County
**
 		**
*
3 or fewer
*
*
**
Pierce County
**
 		**
*
3 or fewer
*
*
**
Price County
**
 		**
*
3 or fewer
*
*
**
Richland County
**
 		**
*
3 or fewer
*
*
**
Rusk County
**
 		**
*
3 or fewer
*
*
**
Sawyer County
**
 		**
*
3 or fewer
*
*
**
Shawano County
**
 		**
*
3 or fewer
*
*
**
Taylor County
**
 		**
*
3 or fewer
*
*
**
Trempealeau County
**
 		**
*
3 or fewer
*
*
**
Vernon County
**
 		**
*
3 or fewer
*
*
**
Vilas County
**
 		**
*
3 or fewer
*
*
**
Washburn County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/13/2026 11:21 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:
Ashland County, Bayfield County, Buffalo County, Calumet County, Clark County, Crawford County, Door County, Dunn County, Florence County, Forest County, Green County, Green Lake County, Iowa County, Iron County, Jackson County, Juneau County, Kewaunee County, Lafayette County, Lincoln County, Marquette County, Menominee County, Oneida County, Pepin County, Pierce County, Price County, Richland County, Rusk County, Sawyer County, Shawano County, Taylor County, Trempealeau County, Vernon County, Vilas County, Washburn County

Trend for the following could not be reliably determined due to small number of deaths per year:
Adams County, Barron County, Burnett County, Chippewa County, Douglas County, Eau Claire County, Langlade County, Marinette County, Monroe County, Waushara 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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