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Incidence Rates Table

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Incidence Rate Report for Wisconsin by County

All Races (includes Hispanic), Female, Colon & Rectum, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Wisconsin 6,10 35.7 (34.8, 36.6) 1,278 2008-2012 falling falling trend -5.7 (-8.2, -3.1)
US (SEER+NPCR) 1,10 36.6 (36.5, 36.7) 67,886 § 2008-2012 falling falling trend -3.8 (-4.4, -3.2)
Vernon County 6,10 20.9 (13.0, 32.4) 5 2008-2012 * *
Door County 6,10 22.2 (14.9, 33.1) 6 2008-2012 * *
Monroe County 6,10 24.1 (16.4, 34.4) 7 2008-2012 * *
Taylor County 6,10 24.7 (14.2, 40.7) 4 2008-2012 * *
Waushara County 6,10 24.8 (15.7, 38.5) 5 2008-2012 * *
Marinette County 6,10 26.2 (18.9, 36.0) 9 2008-2012 * *
Green County 6,10 26.5 (17.9, 38.1) 6 2008-2012 * *
Pierce County 6,10 27.0 (17.3, 40.0) 5 2008-2012 * *
Crawford County 6,10 28.4 (16.6, 46.8) 4 2008-2012 * *
Dunn County 6,10 28.4 (19.6, 40.0) 7 2008-2012 * *
Juneau County 6,10 28.4 (18.4, 42.8) 5 2008-2012 * *
La Crosse County 6,10 28.8 (23.3, 35.3) 21 2008-2012 stable stable trend -5.4 (-30.6, 29.1)
Jackson County 6,10 29.0 (17.6, 46.0) 4 2008-2012 * *
St. Croix County 6,10 29.6 (22.6, 38.2) 13 2008-2012 * *
Manitowoc County 6,10 29.6 (23.8, 36.7) 19 2008-2012 stable stable trend -14.7 (-31.9, 6.8)
Polk County 6,10 29.7 (21.7, 40.1) 9 2008-2012 * *
Calumet County 6,10 30.3 (21.7, 41.2) 8 2008-2012 * *
Dodge County 6,10 30.8 (24.6, 38.3) 18 2008-2012 stable stable trend -14.8 (-37.1, 15.5)
Douglas County 6,10 30.8 (22.4, 41.7) 9 2008-2012 * *
Portage County 6,10 31.1 (23.7, 40.1) 13 2008-2012 * *
Kewaunee County 6,10 31.4 (20.0, 48.0) 5 2008-2012 * *
Ozaukee County 6,10 32.4 (26.4, 39.7) 21 2008-2012 stable stable trend 6.5 (-8.6, 24.0)
Rock County 6,10 32.5 (27.6, 38.0) 33 2008-2012 stable stable trend -0.7 (-24.6, 30.7)
Burnett County 6,10 32.7 (20.4, 52.1) 4 2008-2012 * *
Dane County 6,10 32.7 (29.6, 36.1) 84 2008-2012 stable stable trend -3.7 (-10.7, 3.8)
Outagamie County 6,10 33.2 (28.3, 38.7) 34 2008-2012 stable stable trend 2.6 (-4.9, 10.7)
Jefferson County 6,10 33.4 (26.5, 41.6) 17 2008-2012 falling falling trend -15.5 (-28.1, -0.7)
Winnebago County 6,10 33.6 (28.6, 39.2) 34 2008-2012 stable stable trend -8.5 (-30.5, 20.6)
Bayfield County 6,10 33.8 (21.1, 54.2) 5 2008-2012 * *
Green Lake County 6,10 33.9 (21.4, 52.2) 5 2008-2012 * *
Grant County 6,10 34.1 (25.6, 44.7) 12 2008-2012 * *
Eau Claire County 6,10 34.3 (27.6, 42.1) 20 2008-2012 stable stable trend 6.6 (-14.0, 32.1)
Sawyer County 6,10 34.3 (20.2, 55.6) 4 2008-2012 * *
Wood County 6,10 34.4 (27.5, 42.6) 19 2008-2012 stable stable trend 2.0 (-22.0, 33.4)
Marathon County 6,10 34.4 (29.0, 40.7) 30 2008-2012 stable stable trend -7.8 (-24.9, 13.4)
Iowa County 6,10 34.5 (22.1, 51.7) 5 2008-2012 * *
Marquette County 6,10 34.8 (21.4, 55.5) 4 2008-2012 * *
Barron County 6,10 35.3 (26.8, 46.1) 12 2008-2012 * *
Oconto County 6,10 35.5 (25.7, 48.1) 9 2008-2012 * *
Price County 6,10 35.5 (22.0, 57.0) 4 2008-2012 * *
Washington County 6,10 36.2 (30.4, 42.7) 30 2008-2012 rising rising trend 6.3 (3.5, 9.1)
Brown County 6,10 36.6 (32.2, 41.4) 52 2008-2012 stable stable trend -11.1 (-21.1, 0.2)
Fond du Lac County 6,10 36.9 (30.4, 44.5) 24 2008-2012 stable stable trend -3.6 (-13.9, 7.9)
Racine County 6,10 37.6 (32.8, 42.9) 46 2008-2012 stable stable trend -2.6 (-12.5, 8.4)
Chippewa County 6,10 37.8 (29.5, 48.0) 15 2008-2012 stable stable trend 9.4 (-11.7, 35.4)
Waukesha County 6,10 38.3 (34.9, 41.9) 99 2008-2012 stable stable trend -1.6 (-15.6, 14.7)
Waupaca County 6,10 38.6 (30.1, 49.1) 16 2008-2012 stable stable trend -7.1 (-31.6, 26.1)
Shawano County 6,10 39.1 (29.5, 51.2) 12 2008-2012 * *
Milwaukee County 6,10 39.3 (36.9, 41.8) 213 2008-2012 stable stable trend -6.7 (-13.8, 1.0)
Kenosha County 6,10 39.4 (33.8, 45.8) 36 2008-2012 stable stable trend -4.5 (-18.0, 11.4)
Adams County 6,10 41.2 (25.8, 63.3) 6 2008-2012 * *
Lincoln County 6,10 41.7 (30.4, 56.5) 10 2008-2012 * *
Sheboygan County 6,10 41.9 (35.5, 49.2) 32 2008-2012 falling falling trend -18.3 (-33.3, -0.1)
Langlade County 6,10 41.9 (28.1, 61.0) 7 2008-2012 * *
Trempealeau County 6,10 43.0 (30.8, 58.9) 9 2008-2012 * *
Walworth County 6,10 43.1 (35.9, 51.3) 27 2008-2012 stable stable trend -2.4 (-22.8, 23.5)
Sauk County 6,10 43.6 (34.9, 53.9) 19 2008-2012 stable stable trend -9.3 (-27.6, 13.7)
Lafayette County 6,10 43.9 (27.5, 67.1) 5 2008-2012 * *
Washburn County 6,10 44.4 (29.3, 66.3) 6 2008-2012 * *
Oneida County 6,10 44.9 (35.2, 57.3) 15 2008-2012 stable stable trend -11.0 (-24.4, 4.7)
Vilas County 6,10 47.7 (34.7, 65.9) 9 2008-2012 * *
Columbia County 6,10 48.9 (38.8, 60.9) 17 2008-2012 stable stable trend -3.2 (-29.5, 32.9)
Richland County 6,10 50.2 (33.8, 72.6) 7 2008-2012 * *
Clark County 6,10 50.2 (37.6, 66.0) 11 2008-2012 * *
Rusk County 6,10 52.0 (33.1, 78.9) 6 2008-2012 * *
Ashland County 6,10
*
3 or fewer
2008-2012 * *
Buffalo County 6,10
*
3 or fewer
2008-2012 * *
Florence County 6,10
*
3 or fewer
2008-2012 * *
Forest County 6,10
*
3 or fewer
2008-2012 * *
Iron County 6,10
*
3 or fewer
2008-2012 * *
Menominee County 6,10
*
3 or fewer
2008-2012 * *
Pepin County 6,10
*
3 or fewer
2008-2012 * *
Notes:
Created by statecancerprofiles.cancer.gov on 07/30/2015 2:11 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 1969-2013 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.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2013 US Population Data File is used with NPCR November 2014 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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