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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 Name
County
sort sort alphabetically by namedescending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
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)
Alcona County 6,10 35.8 # (25.2, 51.9) 9
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*
Alger County 6,10 32.3 # (20.1, 50.6) 5
*
*
Allegan County 6,10 32.8 # (28.4, 37.6) 41 stable stable trend -2.8 (-15.0, 11.1)
Alpena County 6,10 50.1 # (41.0, 61.0) 22 stable stable trend 0.3 (-21.4, 28.1)
Antrim County 6,10 32.3 # (24.6, 42.1) 12
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*
Arenac County 6,10 27.4 # (18.9, 39.2) 7
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*
Baraga County 6,10 42.0 # (26.3, 64.3) 5
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*
Barry County 6,10 20.5 # (16.0, 26.0) 14
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*
Bay County 6,10 41.0 # (36.3, 46.2) 57 stable stable trend -7.1 (-17.9, 5.2)
Benzie County 6,10 38.9 # (28.6, 52.1) 10
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*
Berrien County 6,10 45.8 # (41.7, 50.3) 92 stable stable trend -5.3 (-18.9, 10.6)
Branch County 6,10 38.7 # (31.6, 47.1) 21 stable stable trend -12.5 (-32.8, 13.8)
Calhoun County 6,10 36.4 # (32.3, 40.9) 59 stable stable trend -11.0 (-27.5, 9.2)
Cass County 6,10 29.2 # (23.6, 35.8) 20 stable stable trend 7.3 (-28.3, 60.6)
Charlevoix County 6,10 41.6 # (32.7, 52.5) 16 stable stable trend -2.0 (-29.3, 35.8)
Cheboygan County 6,10 37.0 # (28.4, 47.8) 14
*
*
Chippewa County 6,10 28.7 # (22.2, 36.6) 13
*
*
Clare County 6,10 37.7 # (30.0, 47.1) 17 stable stable trend -2.0 (-32.9, 43.0)
Clinton County 6,10 22.1 # (17.8, 27.1) 19 stable stable trend -10.5 (-29.9, 14.2)
Crawford County 6,10 28.9 # (19.8, 41.7) 7
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*
Delta County 6,10 33.0 # (26.2, 41.1) 18 rising rising trend 12.5 (2.7, 23.1)
Dickinson County 6,10 31.0 # (23.4, 40.5) 12
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*
Eaton County 6,10 30.3 # (26.0, 35.0) 38 stable stable trend -13.8 (-32.9, 10.8)
Emmet County 6,10 36.6 # (29.1, 45.6) 17 stable stable trend 9.0 (-2.5, 21.9)
Genesee County 6,10 41.9 # (39.3, 44.6) 200 stable stable trend -5.2 (-13.8, 4.4)
Gladwin County 6,10 40.0 # (31.5, 50.4) 17 stable stable trend -12.0 (-37.0, 22.9)
Gogebic County 6,10 32.4 # (23.0, 45.1) 8
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*
Grand Traverse County 6,10 43.0 # (37.5, 49.1) 46 stable stable trend -4.1 (-18.4, 12.7)
Gratiot County 6,10 56.8 # (47.7, 67.3) 28 stable stable trend -9.2 (-24.0, 8.5)
Hillsdale County 6,10 33.8 # (27.3, 41.5) 19 stable stable trend -4.1 (-31.9, 35.1)
Houghton County 6,10 37.9 # (29.9, 47.5) 16 stable stable trend -0.3 (-16.5, 19.0)
Huron County 6,10 44.9 # (37.1, 54.1) 24 stable stable trend -11.1 (-21.6, 0.7)
Ingham County 6,10 41.6 # (38.1, 45.4) 108 stable stable trend -2.8 (-13.2, 8.9)
Ionia County 6,10 40.0 # (33.2, 47.8) 25 falling falling trend -16.2 (-28.7, -1.6)
Iosco County 6,10 45.2 # (35.9, 56.7) 20 stable stable trend 2.4 (-32.9, 56.2)
Iron County 6,10 24.1 # (16.2, 36.5) 6
*
*
Isabella County 6,10 45.7 # (38.1, 54.4) 27 stable stable trend -12.7 (-31.7, 11.7)
Jackson County 6,10 37.7 # (33.8, 41.9) 71 stable stable trend -4.1 (-16.4, 10.0)
Kalamazoo County 6,10 37.5 # (34.1, 41.0) 97 stable stable trend -4.2 (-10.4, 2.5)
Kalkaska County 6,10 44.6 # (32.7, 59.6) 10
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*
Kent County 6,10 37.5 # (35.3, 39.8) 222 stable stable trend -5.7 (-12.2, 1.3)
Keweenaw County 6,10
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3 or fewer
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*
Lake County 6,10 27.2 # (17.4, 42.0) 5
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*
Lapeer County 6,10 45.1 # (39.2, 51.6) 45 stable stable trend 2.7 (-13.5, 21.9)
Leelanau County 6,10 30.7 # (22.5, 41.4) 11
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*
Lenawee County 6,10 40.5 # (35.5, 45.9) 50 stable stable trend 3.7 (-14.0, 24.9)
Livingston County 6,10 38.9 # (34.9, 43.2) 75 stable stable trend -2.4 (-17.4, 15.3)
Luce County 6,10 35.3 # (20.1, 59.2) 3
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*
Mackinac County 6,10 42.7 # (30.3, 59.8) 8
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*
Macomb County 7,8 43.6 (41.8, 45.5) 432 falling falling trend -2.0 (-2.4, -1.6)
Manistee County 6,10 41.3 # (32.4, 52.2) 16 stable stable trend 4.0 (-24.2, 42.6)
Marquette County 6,10 32.0 # (26.6, 38.3) 26 stable stable trend -9.1 (-37.1, 31.4)
Mason County 6,10 28.2 # (21.2, 37.0) 11
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*
Mecosta County 6,10 30.2 # (23.8, 38.0) 16 stable stable trend -11.9 (-41.9, 33.6)
Menominee County 6,10 31.0 # (23.6, 40.5) 12
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*
Midland County 6,10 34.9 # (29.8, 40.6) 35 stable stable trend -3.0 (-26.9, 28.7)
Missaukee County 6,10 28.0 # (18.5, 41.1) 6
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*
Monroe County 6,10 34.6 # (30.7, 38.9) 60 falling falling trend -10.8 (-16.9, -4.3)
Montcalm County 6,10 34.6 # (28.8, 41.3) 25 falling falling trend -11.1 (-19.2, -2.3)
Montmorency County 6,10 41.6 # (28.9, 60.2) 8
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*
Muskegon County 6,10 39.4 # (35.5, 43.7) 76 stable stable trend -6.4 (-13.4, 1.1)
Newaygo County 6,10 35.5 # (29.0, 43.1) 21 stable stable trend 10.5 (-30.8, 76.3)
Oakland County 7,8 39.9 (38.4, 41.4) 550 falling falling trend -2.1 (-2.5, -1.7)
Oceana County 6,10 38.9 # (30.1, 49.7) 14
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*
Ogemaw County 6,10 35.6 # (26.8, 46.8) 12
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*
Ontonagon County 6,10 46.5 # (30.0, 72.3) 6
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*
Osceola County 6,10 50.4 # (39.6, 63.5) 15 stable stable trend -4.4 (-26.6, 24.5)
Oscoda County 6,10 46.4 # (31.7, 67.4) 7
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*
Otsego County 6,10 37.1 # (28.3, 47.9) 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)
Presque Isle County 6,10 38.0 # (27.6, 52.4) 10
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*
Roscommon County 6,10 40.1 # (32.1, 50.3) 19 stable stable trend -7.6 (-45.0, 55.1)
Saginaw County 6,10 44.9 # (41.2, 48.9) 112 stable stable trend -14.7 (-27.9, 1.0)
Sanilac County 6,10 41.2 # (34.0, 49.6) 24 stable stable trend -6.7 (-16.7, 4.6)
Schoolcraft County 6,10 50.6 # (34.1, 73.8) 7
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*
Shiawassee County 6,10 44.6 # (38.3, 51.7) 37 stable stable trend -8.5 (-27.0, 14.6)
St. Clair County 6,10 48.4 # (44.1, 53.1) 94 falling falling trend -8.1 (-14.7, -1.1)
St. Joseph County 6,10 39.7 # (33.5, 46.8) 29 stable stable trend -2.4 (-7.0, 2.4)
Tuscola County 6,10 49.4 # (42.2, 57.6) 34 falling falling trend -12.9 (-17.8, -7.7)
Van Buren County 6,10 40.5 # (34.6, 47.1) 35 stable stable trend -2.7 (-11.9, 7.5)
Washtenaw County 6,10 38.5 # (35.4, 41.8) 120 falling falling trend -12.0 (-14.6, -9.3)
Wayne County 7,8 47.7 (46.3, 49.1) 942 falling falling trend -3.7 (-5.0, -2.4)
Wexford County 6,10 43.2 # (34.4, 53.7) 17 stable stable trend 15.2 (-17.1, 60.0)
Notes:
Created by statecancerprofiles.cancer.gov on 05/25/2016 7:04 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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