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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2019-2023

Wisconsin Counties versus United States

All Cancer Sites

All Races, Both Sexes

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


United States


Wisconsin


Menominee County


Clark County


Grant County


Langlade County


Marquette County


Sauk County


Vernon County


Washburn County


Adams County


Barron County


Crawford County


Douglas County


Juneau County


Milwaukee County


Oneida County


Polk County


Waupaca County


Buffalo County


Florence County


Forest County


Iowa County


Iron County


Portage County


Price County


Richland County


Rusk County


Shawano County


Sheboygan County


Taylor County


Vilas County


Ashland County


Bayfield County


Brown County


Burnett County


Chippewa County


Columbia County


Dane County


Dodge County


Door County


Dunn County


Eau Claire County


Fond du Lac County


Green County


Green Lake County


Jackson County


Jefferson County


Kenosha County


Kewaunee County


La Crosse County


Lafayette County


Lincoln County


Manitowoc County


Marathon County


Marinette County


Monroe County


Oconto County


Outagamie County


Ozaukee County


Pepin County


Pierce County


Racine County


Rock County


Sawyer County


St. Croix County


Trempealeau County


Walworth County


Washington County


Waukesha County


Waushara County


Winnebago County


Wood County


Calumet County




Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2026 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

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).

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.