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Death Rates Table

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Death Rate Report for Wisconsin by County

Non-Hodgkin Lymphoma, 2016-2020

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by CI*Rank
County
sort alphabetically by name ascending 		Met Healthy People Objective of ***?
 Age-Adjusted Death Rate†
deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		CI*Rank⋔
(95% Confidence Interval)
sort by CI rank descending 		Average Annual Count
sort by count descending 		Recent Trend
 Recent 5-Year Trend‡ in Death Rates
(95% Confidence Interval)
sort by trend descending
Wisconsin *** 5.6 (5.4, 5.9) N/A 418 falling falling trend -2.4 (-2.8, -2.1)
United States *** 5.1 (5.1, 5.2) N/A 20,291 falling falling trend -2.2 (-2.3, -2.1)
Lincoln County *** 8.7 (5.0, 14.6) 1 (1, 39) 4
*
*
Polk County *** 8.1 (5.3, 12.2) 2 (1, 37) 5
*
*
Clark County *** 8.0 (4.8, 12.9) 3 (1, 39) 4 stable stable trend -1.3 (-3.5, 0.9)
Barron County *** 7.9 (5.3, 11.6) 4 (1, 37) 6 stable stable trend -1.4 (-3.1, 0.3)
Grant County *** 7.4 (4.8, 11.1) 5 (1, 38) 5 stable stable trend 0.3 (-1.6, 2.2)
Marinette County *** 7.4 (4.8, 11.2) 6 (1, 39) 5
*
*
Dunn County *** 7.1 (4.2, 11.3) 7 (1, 39) 4
*
*
La Crosse County *** 6.8 (5.1, 9.1) 8 (1, 36) 10 stable stable trend -0.8 (-2.0, 0.4)
Waupaca County *** 6.8 (4.5, 10.2) 9 (1, 39) 6 stable stable trend -0.7 (-2.6, 1.3)
Oneida County *** 6.7 (4.2, 10.7) 10 (1, 39) 5 stable stable trend -1.2 (-3.0, 0.6)
Portage County *** 6.6 (4.3, 9.8) 11 (1, 39) 5 stable stable trend -1.7 (-3.6, 0.2)
Green County *** 6.6 (3.8, 10.9) 12 (1, 39) 3 stable stable trend 0.3 (-1.1, 1.8)
Chippewa County *** 6.5 (4.3, 9.6) 13 (1, 39) 6 stable stable trend -1.7 (-3.3, 0.0)
Douglas County *** 6.4 (3.7, 10.3) 14 (1, 39) 4 stable stable trend 0.4 (-1.5, 2.4)
Ozaukee County *** 6.2 (4.5, 8.5) 15 (2, 38) 8 falling falling trend -3.6 (-5.4, -1.8)
Door County *** 6.1 (3.6, 10.8) 16 (1, 39) 3 stable stable trend -1.4 (-3.1, 0.3)
Manitowoc County *** 6.1 (4.1, 8.8) 17 (1, 39) 7 falling falling trend -2.5 (-3.8, -1.1)
Brown County *** 6.0 (4.8, 7.5) 18 (4, 36) 18 stable stable trend -13.1 (-33.4, 13.3)
Fond du Lac County *** 5.9 (4.3, 8.1) 19 (3, 39) 9 falling falling trend -2.7 (-3.8, -1.6)
Waukesha County *** 5.8 (5.0, 6.8) 20 (7, 34) 34 falling falling trend -2.6 (-3.5, -1.7)
Racine County *** 5.8 (4.5, 7.4) 21 (5, 38) 14 falling falling trend -2.3 (-3.2, -1.4)
Walworth County *** 5.8 (4.1, 8.0) 22 (3, 39) 8 falling falling trend -2.7 (-4.2, -1.1)
Dane County *** 5.7 (4.9, 6.7) 23 (8, 35) 31 falling falling trend -1.6 (-2.2, -0.9)
Shawano County *** 5.7 (3.3, 9.6) 24 (1, 39) 3
*
*
Jefferson County *** 5.6 (3.7, 8.1) 25 (3, 39) 6 stable stable trend -1.5 (-3.0, 0.0)
St. Croix County *** 5.5 (3.6, 8.1) 26 (3, 39) 5 stable stable trend -1.4 (-3.4, 0.7)
Wood County *** 5.4 (3.6, 8.0) 27 (3, 39) 6 falling falling trend -2.3 (-3.9, -0.7)
Columbia County *** 5.4 (3.3, 8.4) 28 (2, 39) 4 stable stable trend -1.8 (-3.6, 0.1)
Rock County *** 5.3 (3.9, 6.9) 29 (7, 39) 11 falling falling trend -1.4 (-2.5, -0.3)
Marathon County *** 5.2 (3.8, 7.0) 30 (6, 39) 9 falling falling trend -1.9 (-3.1, -0.6)
Milwaukee County *** 5.1 (4.5, 5.8) 31 (15, 37) 52 falling falling trend -2.9 (-3.4, -2.4)
Outagamie County *** 5.1 (3.8, 6.7) 32 (8, 39) 11 falling falling trend -2.1 (-3.2, -1.0)
Kenosha County *** 5.1 (3.7, 6.8) 33 (7, 39) 9 falling falling trend -2.3 (-3.4, -1.3)
Dodge County *** 5.0 (3.4, 7.3) 34 (5, 39) 6 falling falling trend -2.0 (-3.6, -0.3)
Sauk County *** 5.0 (3.1, 7.7) 35 (4, 39) 5 falling falling trend -2.5 (-4.2, -0.7)
Sheboygan County *** 4.9 (3.5, 6.8) 36 (7, 39) 8 falling falling trend -1.6 (-3.0, -0.3)
Winnebago County *** 4.8 (3.5, 6.3) 37 (10, 39) 10 falling falling trend -2.9 (-4.0, -1.8)
Eau Claire County *** 4.5 (2.9, 6.6) 38 (8, 39) 5 stable stable trend -1.3 (-2.7, 0.3)
Washington County *** 4.0 (2.8, 5.6) 39 (17, 39) 7 falling falling trend -3.1 (-4.6, -1.5)
Adams County ***
*
*
3 or fewer
*
*
Ashland County ***
*
*
3 or fewer
*
*
Bayfield County ***
*
*
3 or fewer
*
*
Buffalo County ***
*
*
3 or fewer
*
*
Burnett County ***
*
*
3 or fewer
*
*
Calumet County ***
*
*
3 or fewer
*
*
Crawford County ***
*
*
3 or fewer
*
*
Florence County ***
*
*
3 or fewer
*
*
Forest 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
*
*
Langlade County ***
*
*
3 or fewer
*
*
Marquette County ***
*
*
3 or fewer
*
*
Menominee County ***
*
*
3 or fewer
*
*
Monroe County ***
*
*
3 or fewer
*
*
Oconto 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
*
*
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
*
*
Waushara County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/08/2023 11:12 am.

State Cancer Registries may provide more current or more local data.
Trend
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.

† 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 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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