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Incidence Rates Table

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Incidence Rate Report for Michigan by County

All Races (includes Hispanic), Female, Ovary, 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
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Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Michigan 5,10 12.7 # (12.3, 13.1) 755 2007-2011 falling falling trend -2.8 (-4.8, -0.7)
US (SEER+NPCR) 1,10 12.0 (12.0, 12.1) 21,341 § 2007-2011 falling falling trend -2.9 (-4.1, -1.7)
Monroe County 6,10 6.8 # (4.6, 9.7) 6 2007-2011 stable stable trend -17.8 (-46.5, 26.3)
Clinton County 6,10 8.1 # (4.6, 13.3) 3 2007-2011 stable stable trend 0 (0.0, 0.0)
Muskegon County 6,10 9.0 # (6.6, 12.1) 9 2007-2011 stable stable trend -8 (-37.0, 34.3)
Lapeer County 6,10 9.7 # (6.2, 14.6) 5 2007-2011 stable stable trend -1.7 (-33.0, 44.3)
Hillsdale County 6,10 10.2 # (5.8, 17.0) 3 2007-2011 stable stable trend -29.1 (-57.6, 18.7)
Tuscola County 6,10 10.9 # (6.3, 17.5) 4 2007-2011 stable stable trend -25.5 (-60.0, 38.9)
Lenawee County 6,10 11.0 # (7.5, 15.6) 7 2007-2011 falling falling trend -23.4 (-32.6, -12.9)
Livingston County 6,10 11.0 # (8.3, 14.4) 12 2007-2011 stable stable trend 0.8 (-5.8, 7.9)
Kent County 6,10 11.3 # (9.6, 13.1) 36 2007-2011 stable stable trend -2.4 (-20.5, 19.9)
Calhoun County 6,10 11.7 # (8.6, 15.6) 10 2007-2011 stable stable trend -16.7 (-37.4, 11.0)
Eaton County 6,10 11.7 # (8.3, 16.2) 8 2007-2011 stable stable trend -10.5 (-34.0, 21.4)
Montcalm County 6,10 12.0 # (7.4, 18.6) 4 2007-2011 stable stable trend 44.3 (-45.5, 282.1)
Washtenaw County 6,10 12.1 # (9.9, 14.6) 22 2007-2011 stable stable trend 6.8 (-12.7, 30.8)
Ingham County 6,10 12.3 # (9.8, 15.2) 17 2007-2011 stable stable trend 5 (-10.7, 23.6)
Jackson County 6,10 12.6 # (9.4, 16.4) 11 2007-2011 stable stable trend -11.4 (-30.3, 12.7)
Ottawa County 6,10 12.9 # (10.3, 15.9) 18 2007-2011 stable stable trend -16 (-35.2, 8.8)
Allegan County 6,10 12.9 # (9.1, 17.8) 8 2007-2011 stable stable trend -2.6 (-39.7, 57.4)
Van Buren County 6,10 12.9 # (8.5, 18.8) 6 2007-2011 stable stable trend -2.1 (-38.9, 57.0)
Branch County 6,10 13.1 # (7.8, 20.9) 4 2007-2011 stable stable trend -2.7 (-40.8, 59.9)
Shiawassee County 6,10 13.2 # (8.8, 19.2) 6 2007-2011 stable stable trend -1.3 (-20.1, 21.9)
Wayne County 7,8 13.4 (12.4, 14.4) 147 2007-2011 stable stable trend -0.3 (-0.8, 0.3)
Kalamazoo County 6,10 13.4 # (10.8, 16.5) 19 2007-2011 stable stable trend 1.4 (-23.4, 34.2)
Genesee County 6,10 13.5 # (11.6, 15.7) 35 2007-2011 stable stable trend -9.9 (-24.0, 6.7)
Sanilac County 6,10 13.6 # (7.7, 22.3) 3 2007-2011 stable stable trend 6.1 (-44.7, 103.8)
Oakland County 7,8 14.1 (12.8, 15.3) 104 2007-2011 stable stable trend -0.6 (-1.1, 0.0)
St. Joseph County 6,10 14.1 # (9.2, 20.8) 5 2007-2011 stable stable trend -11.9 (-39.7, 28.8)
St. Clair County 6,10 14.2 # (11.0, 17.9) 15 2007-2011 stable stable trend -13.4 (-26.4, 2.0)
Isabella County 6,10 14.3 # (8.9, 21.8) 4 2007-2011 stable stable trend 24 (-15.2, 81.3)
Macomb County 7,8 14.5 (13.1, 16.1) 77 2007-2011 stable stable trend -0.8 (-1.6, 0.0)
Grand Traverse County 6,10 14.8 # (10.7, 20.2) 9 2007-2011 stable stable trend 9.3 (-34.0, 81.1)
Emmet County 6,10 15.0 # (8.2, 25.3) 3 2007-2011 stable stable trend -15.4 (-54.4, 56.8)
Newaygo County 6,10 15.2 # (9.4, 23.2) 4 2007-2011 falling falling trend -22.3 (-28.6, -15.4)
Bay County 6,10 15.9 # (11.9, 20.8) 12 2007-2011 stable stable trend -10.2 (-31.4, 17.4)
Midland County 6,10 16.2 # (11.6, 22.1) 8 2007-2011 stable stable trend -8.1 (-32.8, 25.8)
Saginaw County 6,10 16.2 # (13.2, 19.8) 21 2007-2011 stable stable trend 13.9 (-30.2, 85.9)
Cass County 6,10 16.3 # (10.6, 24.1) 5 2007-2011 stable stable trend -13.3 (-43.6, 33.3)
Berrien County 6,10 16.9 # (13.5, 21.0) 18 2007-2011 falling falling trend -9.8 (-15.1, -4.1)
Chippewa County 6,10 17.6 # (10.5, 28.1) 4 2007-2011 stable stable trend 20.1 (-42.3, 149.7)
Gladwin County 6,10 19.8 # (10.9, 33.5) 3 2007-2011 stable stable trend 16.4 (-62.1, 257.7)
Huron County 6,10 20.1 # (12.6, 31.2) 5 2007-2011 stable stable trend 4.4 (-24.3, 44.1)
Alpena County 6,10 21.8 # (12.7, 35.1) 4 2007-2011 stable stable trend -27.2 (-65.7, 54.7)
Alcona County 6,10
*
3 or fewer
2007-2011 * *
Alger County 6,10
*
3 or fewer
2007-2011 * *
Antrim County 6,10
*
3 or fewer
2007-2011 * *
Arenac County 6,10
*
3 or fewer
2007-2011 * *
Baraga County 6,10
*
3 or fewer
2007-2011 * *
Barry County 6,10
*
3 or fewer
2007-2011 * *
Benzie County 6,10
*
3 or fewer
2007-2011 * *
Charlevoix County 6,10
*
3 or fewer
2007-2011 * *
Cheboygan County 6,10
*
3 or fewer
2007-2011 * *
Clare County 6,10
*
3 or fewer
2007-2011 * *
Crawford County 6,10
*
3 or fewer
2007-2011 * *
Delta County 6,10
*
3 or fewer
2007-2011 * *
Dickinson County 6,10
*
3 or fewer
2007-2011 * *
Gogebic County 6,10
*
3 or fewer
2007-2011 * *
Gratiot County 6,10
*
3 or fewer
2007-2011 * *
Houghton County 6,10
*
3 or fewer
2007-2011 * *
Ionia County 6,10
*
3 or fewer
2007-2011 * *
Iosco County 6,10
*
3 or fewer
2007-2011 stable stable trend 21.5 (-29.9, 110.7)
Iron County 6,10
*
3 or fewer
2007-2011 * *
Kalkaska County 6,10
*
3 or fewer
2007-2011 * *
Keweenaw County 6,10
*
3 or fewer
2007-2011 * *
Lake County 6,10
*
3 or fewer
2007-2011 * *
Leelanau County 6,10
*
3 or fewer
2007-2011 * *
Luce County 6,10
*
3 or fewer
2007-2011 * *
Mackinac County 6,10
*
3 or fewer
2007-2011 * *
Manistee County 6,10
*
3 or fewer
2007-2011 * *
Marquette County 6,10
*
3 or fewer
2007-2011 stable stable trend 17.2 (-16.4, 64.3)
Mason County 6,10
*
3 or fewer
2007-2011 * *
Mecosta County 6,10
*
3 or fewer
2007-2011 * *
Menominee County 6,10
*
3 or fewer
2007-2011 * *
Missaukee County 6,10
*
3 or fewer
2007-2011 * *
Montmorency County 6,10
*
3 or fewer
2007-2011 * *
Oceana County 6,10
*
3 or fewer
2007-2011 * *
Ogemaw County 6,10
*
3 or fewer
2007-2011 * *
Ontonagon County 6,10
*
3 or fewer
2007-2011 * *
Osceola County 6,10
*
3 or fewer
2007-2011 * *
Oscoda County 6,10
*
3 or fewer
2007-2011 * *
Otsego County 6,10
*
3 or fewer
2007-2011 * *
Presque Isle County 6,10
*
3 or fewer
2007-2011 * *
Roscommon County 6,10
*
3 or fewer
2007-2011 * *
Schoolcraft County 6,10
*
3 or fewer
2007-2011 * *
Wexford County 6,10
*
3 or fewer
2007-2011 * *
Notes:
Created by statecancerprofiles.cancer.gov on 11/26/2014 3:19 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 1969-2012 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 2013 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 2013 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.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission and SEER November 2013 submission.
5 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 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) January 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
7 Source: SEER November 2013 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 1969-2012 US Population Data File is used with SEER November 2013 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 1969-2012 US Population Data File is used with NPCR January 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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