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Incidence Rates Table

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Incidence Rate Report for by County

Colon & Rectum, 2008-2012

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

Sorted by Rate
County
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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
Michigan 5,10 40.7 # (40.2, 41.3) 4,596 falling falling trend -4.4 (-5.1, -3.7)
US (SEER+NPCR) 1,10 41.9 (41.8, 42.0) 140,433 § falling falling trend -3.9 (-4.7, -3.0)
Gratiot County 6,10 56.8 # (47.7, 67.3) 28 stable stable trend -9.2 (-24.0, 8.5)
Schoolcraft County 6,10 50.6 # (34.1, 73.8) 7
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Osceola County 6,10 50.4 # (39.6, 63.5) 15 stable stable trend -4.4 (-26.6, 24.5)
Alpena County 6,10 50.1 # (41.0, 61.0) 22 stable stable trend 0.3 (-21.4, 28.1)
Tuscola County 6,10 49.4 # (42.2, 57.6) 34 falling falling trend -12.9 (-17.8, -7.7)
St. Clair County 6,10 48.4 # (44.1, 53.1) 94 falling falling trend -8.1 (-14.7, -1.1)
Wayne County 7,8 47.7 (46.3, 49.1) 942 falling falling trend -3.7 (-5.0, -2.4)
Ontonagon County 6,10 46.5 # (30.0, 72.3) 6
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Oscoda County 6,10 46.4 # (31.7, 67.4) 7
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Berrien County 6,10 45.8 # (41.7, 50.3) 92 stable stable trend -5.3 (-18.9, 10.6)
Isabella County 6,10 45.7 # (38.1, 54.4) 27 stable stable trend -12.7 (-31.7, 11.7)
Iosco County 6,10 45.2 # (35.9, 56.7) 20 stable stable trend 2.4 (-32.9, 56.2)
Lapeer County 6,10 45.1 # (39.2, 51.6) 45 stable stable trend 2.7 (-13.5, 21.9)
Saginaw County 6,10 44.9 # (41.2, 48.9) 112 stable stable trend -14.7 (-27.9, 1.0)
Huron County 6,10 44.9 # (37.1, 54.1) 24 stable stable trend -11.1 (-21.6, 0.7)
Shiawassee County 6,10 44.6 # (38.3, 51.7) 37 stable stable trend -8.5 (-27.0, 14.6)
Kalkaska County 6,10 44.6 # (32.7, 59.6) 10
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Macomb County 7,8 43.6 (41.8, 45.5) 432 falling falling trend -2.0 (-2.4, -1.6)
Wexford County 6,10 43.2 # (34.4, 53.7) 17 stable stable trend 15.2 (-17.1, 60.0)
Grand Traverse County 6,10 43.0 # (37.5, 49.1) 46 stable stable trend -4.1 (-18.4, 12.7)
Mackinac County 6,10 42.7 # (30.3, 59.8) 8
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Baraga County 6,10 42.0 # (26.3, 64.3) 5
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Genesee County 6,10 41.9 # (39.3, 44.6) 200 stable stable trend -5.2 (-13.8, 4.4)
Montmorency County 6,10 41.6 # (28.9, 60.2) 8
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Ingham County 6,10 41.6 # (38.1, 45.4) 108 stable stable trend -2.8 (-13.2, 8.9)
Charlevoix County 6,10 41.6 # (32.7, 52.5) 16 stable stable trend -2.0 (-29.3, 35.8)
Manistee County 6,10 41.3 # (32.4, 52.2) 16 stable stable trend 4.0 (-24.2, 42.6)
Sanilac County 6,10 41.2 # (34.0, 49.6) 24 stable stable trend -6.7 (-16.7, 4.6)
Bay County 6,10 41.0 # (36.3, 46.2) 57 stable stable trend -7.1 (-17.9, 5.2)
Van Buren County 6,10 40.5 # (34.6, 47.1) 35 stable stable trend -2.7 (-11.9, 7.5)
Lenawee County 6,10 40.5 # (35.5, 45.9) 50 stable stable trend 3.7 (-14.0, 24.9)
Roscommon County 6,10 40.1 # (32.1, 50.3) 19 stable stable trend -7.6 (-45.0, 55.1)
Ionia County 6,10 40.0 # (33.2, 47.8) 25 falling falling trend -16.2 (-28.7, -1.6)
Gladwin County 6,10 40.0 # (31.5, 50.4) 17 stable stable trend -12.0 (-37.0, 22.9)
Oakland County 7,8 39.9 (38.4, 41.4) 550 falling falling trend -2.1 (-2.5, -1.7)
St. Joseph County 6,10 39.7 # (33.5, 46.8) 29 stable stable trend -2.4 (-7.0, 2.4)
Muskegon County 6,10 39.4 # (35.5, 43.7) 76 stable stable trend -6.4 (-13.4, 1.1)
Livingston County 6,10 38.9 # (34.9, 43.2) 75 stable stable trend -2.4 (-17.4, 15.3)
Benzie County 6,10 38.9 # (28.6, 52.1) 10
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Oceana County 6,10 38.9 # (30.1, 49.7) 14
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Branch County 6,10 38.7 # (31.6, 47.1) 21 stable stable trend -12.5 (-32.8, 13.8)
Washtenaw County 6,10 38.5 # (35.4, 41.8) 120 falling falling trend -12.0 (-14.6, -9.3)
Presque Isle County 6,10 38.0 # (27.6, 52.4) 10
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Houghton County 6,10 37.9 # (29.9, 47.5) 16 stable stable trend -0.3 (-16.5, 19.0)
Clare County 6,10 37.7 # (30.0, 47.1) 17 stable stable trend -2.0 (-32.9, 43.0)
Jackson County 6,10 37.7 # (33.8, 41.9) 71 stable stable trend -4.1 (-16.4, 10.0)
Kent County 6,10 37.5 # (35.3, 39.8) 222 stable stable trend -5.7 (-12.2, 1.3)
Kalamazoo County 6,10 37.5 # (34.1, 41.0) 97 stable stable trend -4.2 (-10.4, 2.5)
Otsego County 6,10 37.1 # (28.3, 47.9) 12
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Cheboygan County 6,10 37.0 # (28.4, 47.8) 14
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Emmet County 6,10 36.6 # (29.1, 45.6) 17 stable stable trend 9.0 (-2.5, 21.9)
Calhoun County 6,10 36.4 # (32.3, 40.9) 59 stable stable trend -11.0 (-27.5, 9.2)
Alcona County 6,10 35.8 # (25.2, 51.9) 9
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Ogemaw County 6,10 35.6 # (26.8, 46.8) 12
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Ottawa County 6,10 35.5 # (32.3, 39.0) 91 stable stable trend -2.4 (-14.3, 11.2)
Newaygo County 6,10 35.5 # (29.0, 43.1) 21 stable stable trend 10.5 (-30.8, 76.3)
Luce County 6,10 35.3 # (20.1, 59.2) 3
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Midland County 6,10 34.9 # (29.8, 40.6) 35 stable stable trend -3.0 (-26.9, 28.7)
Montcalm County 6,10 34.6 # (28.8, 41.3) 25 falling falling trend -11.1 (-19.2, -2.3)
Monroe County 6,10 34.6 # (30.7, 38.9) 60 falling falling trend -10.8 (-16.9, -4.3)
Hillsdale County 6,10 33.8 # (27.3, 41.5) 19 stable stable trend -4.1 (-31.9, 35.1)
Delta County 6,10 33.0 # (26.2, 41.1) 18 rising rising trend 12.5 (2.7, 23.1)
Allegan County 6,10 32.8 # (28.4, 37.6) 41 stable stable trend -2.8 (-15.0, 11.1)
Gogebic County 6,10 32.4 # (23.0, 45.1) 8
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Antrim County 6,10 32.3 # (24.6, 42.1) 12
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Alger County 6,10 32.3 # (20.1, 50.6) 5
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Marquette County 6,10 32.0 # (26.6, 38.3) 26 stable stable trend -9.1 (-37.1, 31.4)
Menominee County 6,10 31.0 # (23.6, 40.5) 12
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Dickinson County 6,10 31.0 # (23.4, 40.5) 12
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Leelanau County 6,10 30.7 # (22.5, 41.4) 11
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Eaton County 6,10 30.3 # (26.0, 35.0) 38 stable stable trend -13.8 (-32.9, 10.8)
Mecosta County 6,10 30.2 # (23.8, 38.0) 16 stable stable trend -11.9 (-41.9, 33.6)
Cass County 6,10 29.2 # (23.6, 35.8) 20 stable stable trend 7.3 (-28.3, 60.6)
Crawford County 6,10 28.9 # (19.8, 41.7) 7
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Chippewa County 6,10 28.7 # (22.2, 36.6) 13
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Mason County 6,10 28.2 # (21.2, 37.0) 11
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Missaukee County 6,10 28.0 # (18.5, 41.1) 6
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Arenac County 6,10 27.4 # (18.9, 39.2) 7
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Lake County 6,10 27.2 # (17.4, 42.0) 5
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Iron County 6,10 24.1 # (16.2, 36.5) 6
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Clinton County 6,10 22.1 # (17.8, 27.1) 19 stable stable trend -10.5 (-29.9, 14.2)
Barry County 6,10 20.5 # (16.0, 26.0) 14
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Keweenaw County 6,10
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3 or fewer
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Notes:
Created by statecancerprofiles.cancer.gov on 07/01/2016 12:33 am.
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 do not include cases diagnosed in other states for those states in which the data exchange agreement specifically prohibits the release of data to third parties.
* 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. 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 2014 data submission and SEER November 2014 submission.
5 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.
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.
7 Source: SEER November 2014 submission.
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The 1969-2013 US Population Data File is used with SEER November 2014 data.
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.


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