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Incidence Rates Table

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Incidence Rate Report for Wisconsin by County

Melanoma of the Skin, 2009-2013

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

Sorted by Rate
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Wisconsin 6,10 21.5 (21.0, 22.1) 1,367 stable stable trend 1.7 (-3.9, 7.6)
US (SEER+NPCR) 1,10 20.3 (20.2, 20.3) 68,242 stable stable trend 0.7 (-0.4, 1.9)
Door County 6,10 39.7 (31.1, 50.3) 17 stable stable trend 7.1 (-18.8, 41.1)
Outagamie County 6,10 35.1 (31.3, 39.2) 64 stable stable trend 2.3 (-17.8, 27.2)
Calumet County 6,10 32.1 (25.3, 40.0) 16 stable stable trend 3.0 (-22.5, 37.0)
Brown County 6,10 31.8 (28.7, 35.1) 82 stable stable trend -9.8 (-21.3, 3.3)
Fond du Lac County 6,10 31.3 (26.8, 36.4) 36 falling falling trend -11.3 (-18.1, -3.8)
Kewaunee County 6,10 30.7 (21.4, 42.9) 8 stable stable trend -2.2 (-24.8, 27.1)
Manitowoc County 6,10 29.4 (24.7, 34.8) 30 stable stable trend -3.2 (-20.3, 17.5)
Winnebago County 6,10 28.6 (25.2, 32.3) 53 stable stable trend 1.1 (-13.3, 18.0)
La Crosse County 6,10 27.2 (23.2, 31.8) 33 stable stable trend -2.8 (-9.3, 4.2)
Dane County 6,10 26.3 (24.2, 28.5) 127 stable stable trend 4.7 (-13.7, 27.0)
Green Lake County 6,10 26.2 (18.0, 37.3) 7 stable stable trend 4.2 (-20.7, 36.9)
Sawyer County 6,10 26.2 (16.0, 40.5) 5 stable stable trend -23.3 (-42.2, 1.8)
Ozaukee County 6,10 26.0 (21.8, 30.9) 28 stable stable trend 6.1 (-12.8, 29.2)
Walworth County 6,10 25.9 (21.8, 30.6) 29 stable stable trend -7.5 (-21.3, 8.7)
Marinette County 6,10 25.8 (19.5, 33.5) 13 stable stable trend -7.8 (-31.0, 23.3)
Eau Claire County 6,10 25.7 (21.3, 30.7) 26 stable stable trend 8.0 (-15.0, 37.4)
Waukesha County 6,10 25.1 (23.1, 27.3) 116 stable stable trend 3.5 (-3.8, 11.3)
Waupaca County 6,10 25.0 (19.7, 31.3) 17 stable stable trend 2.0 (-34.1, 58.0)
Adams County 6,10 24.4 (16.4, 35.4) 7 stable stable trend 3.5 (-23.0, 39.1)
Oconto County 6,10 24.2 (17.9, 32.1) 11 stable stable trend 2.8 (-19.7, 31.7)
Monroe County 6,10 24.1 (18.2, 31.3) 12 stable stable trend -3.9 (-30.1, 32.2)
Washington County 6,10 23.9 (20.4, 27.7) 36 stable stable trend 2.7 (-16.7, 26.7)
Sheboygan County 6,10 23.9 (20.2, 28.0) 32 stable stable trend -8.0 (-23.6, 10.7)
Marathon County 6,10 23.5 (20.1, 27.4) 36 stable stable trend 8.4 (-19.8, 46.5)
Shawano County 6,10 23.4 (17.5, 30.6) 12 stable stable trend 2.9 (-30.5, 52.3)
Chippewa County 6,10 23.3 (18.5, 29.0) 17 stable stable trend 6.6 (-0.7, 14.4)
Portage County 6,10 23.2 (18.3, 29.1) 16 stable stable trend -2.1 (-25.9, 29.4)
Trempealeau County 6,10 23.2 (16.4, 31.9) 8 stable stable trend 9.0 (-33.5, 78.7)
Columbia County 6,10 22.8 (17.8, 28.8) 15 stable stable trend 0.2 (-17.4, 21.5)
Iowa County 6,10 22.8 (15.1, 32.9) 6 stable stable trend -11.4 (-46.3, 46.3)
Lincoln County 6,10 22.4 (15.7, 31.1) 8 stable stable trend -4.6 (-35.1, 40.2)
Crawford County 6,10 21.5 (13.1, 33.7) 4 stable stable trend 2.9 (-28.7, 48.4)
Dodge County 6,10 20.9 (17.1, 25.3) 22 stable stable trend 1.8 (-4.1, 8.1)
Grant County 6,10 20.8 (15.7, 27.0) 12 stable stable trend 11.4 (-15.3, 46.7)
Rock County 6,10 20.6 (17.6, 23.8) 36 stable stable trend -6.3 (-12.4, 0.3)
Waushara County 6,10 20.5 (13.9, 29.3) 7 rising rising trend 27.4 (7.9, 50.5)
Rusk County 6,10 20.2 (11.7, 33.0) 4 stable stable trend -7.8 (-23.2, 10.7)
Lafayette County 6,10 20.2 (12.3, 31.5) 4
*
*
Buffalo County 6,10 19.7 (10.9, 33.1) 3
*
*
Wood County 6,10 19.2 (15.3, 23.9) 18 stable stable trend 16.3 (-4.0, 41.0)
Marquette County 6,10 19.0 (10.7, 31.4) 4 stable stable trend 7.5 (-10.5, 29.2)
Green County 6,10 18.4 (13.0, 25.5) 8 stable stable trend -10.4 (-43.1, 41.2)
Barron County 6,10 18.0 (13.1, 24.1) 10 stable stable trend 7.0 (-26.0, 54.9)
Jefferson County 6,10 17.7 (14.0, 22.0) 16 stable stable trend 10.2 (-8.2, 32.3)
Juneau County 6,10 17.7 (11.7, 25.7) 6 stable stable trend 21.0 (-25.7, 96.8)
Bayfield County 6,10 16.9 (9.0, 29.3) 3
*
*
Douglas County 6,10 16.8 (12.0, 23.1) 8 stable stable trend 3.2 (-47.1, 101.6)
Clark County 6,10 16.4 (10.7, 23.8) 6 stable stable trend 18.3 (-49.8, 178.4)
Pierce County 6,10 16.3 (11.0, 23.2) 6 stable stable trend 0.4 (-47.7, 92.9)
Dunn County 6,10 15.5 (10.7, 21.8) 7 stable stable trend 3.8 (-34.1, 63.4)
Langlade County 6,10 15.0 (8.7, 24.3) 4 stable stable trend 5.1 (-44.1, 97.5)
Racine County 6,10 14.4 (12.2, 16.9) 32 rising rising trend 22.2 (9.9, 35.8)
Sauk County 6,10 14.3 (10.6, 18.8) 11 stable stable trend 12.0 (-20.9, 58.7)
Taylor County 6,10 14.0 (8.1, 22.7) 4
*
*
Oneida County 6,10 14.0 (9.2, 20.4) 7 stable stable trend -4.3 (-35.9, 42.7)
Kenosha County 6,10 13.8 (11.4, 16.5) 24 stable stable trend -7.2 (-25.3, 15.3)
Vernon County 6,10 13.7 (8.4, 21.0) 5 stable stable trend 10.3 (-18.6, 49.6)
Milwaukee County 6,10 13.6 (12.6, 14.8) 128 stable stable trend 3.9 (-2.0, 10.3)
Polk County 6,10 13.3 (9.3, 18.7) 7 stable stable trend 3.8 (-29.2, 52.2)
Richland County 6,10 12.2 (6.8, 20.6) 3
*
*
St. Croix County 6,10 11.0 (8.1, 14.7) 10 stable stable trend -2.2 (-23.0, 24.2)
Vilas County 6,10 10.8 (6.4, 17.8) 4 stable stable trend 11.6 (-35.0, 91.7)
Ashland County 6,10
*
3 or fewer
*
*
Burnett County 6,10
*
3 or fewer
*
*
Florence County 6,10
*
3 or fewer
*
*
Forest County 6,10
*
3 or fewer
*
*
Iron County 6,10
*
3 or fewer
*
*
Jackson County 6,10
*
3 or fewer
*
*
Menominee County 6,10
*
3 or fewer
*
*
Pepin County 6,10
*
3 or fewer
*
*
Price County 6,10
*
3 or fewer
*
*
Washburn County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/27/2016 12:56 pm.
Data for the United States does not include data from Nevada
State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
* 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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used with NPCR November 2015 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.


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