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Rate/Trend Comparison by Cancer Table

Data Options
Death Rate/Trend Comparison by Cancer, 2019-2023

Wisconsin Counties versus United States

Lung & Bronchus

All Races, Both Sexes
  Above US Rate Similar to US Rate Below US Rate
Rising
Trend		 Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend		 Priority 4: stable and above

Adams County
Clark County
Crawford County
Langlade County
Manitowoc County
Menominee County
Sauk County		 Priority 6: stable and similar

Buffalo County
Dunn County
Green County
Green Lake County
Iowa County
Iron County
Jackson County
Kewaunee County
Lafayette County
Price County
Richland County
Rusk County
Taylor County
Trempealeau County
Washburn County		 Priority 7: stable and below

Calumet County
Falling
Trend		 Priority 5: falling and above

Barron County
Douglas County
Juneau County
Kenosha County
Marquette County
Milwaukee County
Racine County
Rock County
Sawyer County		 Priority 8: falling and similar

Ashland County
Bayfield County
Burnett County
Chippewa County
Columbia County
Dodge County
Door County
Eau Claire County
Forest County
Grant County
La Crosse County
Lincoln County
Marathon County
Marinette County
Monroe County
Oconto County
Oneida County
Outagamie County
Pierce County
Polk County
Shawano County
Sheboygan County
Vernon County
Vilas County
Walworth County
Waupaca County
Waushara County
Winnebago County
Wood County		 Priority 9: falling and below

Brown County
Dane County
Fond du Lac County
Jefferson County
Ozaukee County
Portage County
St. Croix County
Washington County
Waukesha County
Notes:
Created by statecancerprofiles.cancer.gov on 03/13/2026 7:51 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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Florence County, Pepin 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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