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Incidence Rates Table

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Incidence Rate Report for Michigan by County

All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages
Sorted by Name
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 5,10 469.8 # (468.0, 471.6) 53,069 2008-2012 stable stable trend -2.0 (-4.8, 0.8)
US (SEER+NPCR) 1,10 453.8 (453.5, 454.1) 1,526,274 § 2008-2012 falling falling trend -2.1 (-2.9, -1.2)
Alcona County 6,10 408.2 # (366.6, 454.8) 92 2008-2012 stable stable trend -5.2 (-14.8, 5.4)
Alger County 6,10 419.3 # (372.1, 471.8) 62 2008-2012 stable stable trend -4.6 (-20.9, 15.1)
Allegan County 6,10 387.2 # (371.6, 403.3) 484 2008-2012 stable stable trend -4.9 (-10.3, 0.8)
Alpena County 6,10 537.3 # (505.3, 571.0) 228 2008-2012 stable stable trend -4.0 (-11.0, 3.6)
Antrim County 6,10 422.1 # (392.0, 454.2) 161 2008-2012 stable stable trend -0.1 (-12.2, 13.8)
Arenac County 6,10 467.3 # (428.3, 509.4) 114 2008-2012 stable stable trend 1.8 (-14.2, 20.8)
Baraga County 6,10 395.4 # (345.1, 451.7) 47 2008-2012 stable stable trend 5.1 (-10.3, 23.2)
Barry County 6,10 312.7 # (294.2, 332.2) 223 2008-2012 falling falling trend -7.7 (-14.0, -0.9)
Bay County 6,10 448.2 # (432.1, 464.7) 616 2008-2012 stable stable trend -4.6 (-14.4, 6.4)
Benzie County 6,10 472.8 # (434.9, 513.6) 125 2008-2012 stable stable trend 0.5 (-3.2, 4.4)
Berrien County 6,10 479.8 # (465.9, 494.0) 945 2008-2012 stable stable trend -0.8 (-9.8, 9.0)
Branch County 6,10 376.6 # (353.4, 401.0) 202 2008-2012 stable stable trend -3.6 (-10.5, 3.9)
Calhoun County 6,10 428.1 # (413.6, 442.9) 691 2008-2012 stable stable trend -4.1 (-12.6, 5.3)
Cass County 6,10 335.0 # (315.3, 355.7) 228 2008-2012 stable stable trend 6.4 (-9.2, 24.7)
Charlevoix County 6,10 483.4 # (450.8, 517.9) 177 2008-2012 stable stable trend -3.7 (-10.4, 3.4)
Cheboygan County 6,10 451.3 # (420.8, 483.7) 180 2008-2012 stable stable trend -4.3 (-19.8, 14.1)
Chippewa County 6,10 414.6 # (388.2, 442.5) 187 2008-2012 stable stable trend -1.4 (-11.0, 9.2)
Clare County 6,10 464.3 # (435.5, 494.7) 211 2008-2012 stable stable trend -2.5 (-7.9, 3.3)
Clinton County 6,10 345.3 # (327.3, 364.1) 286 2008-2012 stable stable trend -0.7 (-11.9, 12.0)
Crawford County 6,10 416.1 # (375.8, 459.9) 88 2008-2012 stable stable trend -7.6 (-21.0, 8.2)
Delta County 6,10 393.1 # (368.4, 419.3) 204 2008-2012 stable stable trend 4.1 (-10.8, 21.5)
Dickinson County 6,10 358.9 # (331.5, 388.3) 136 2008-2012 stable stable trend 7.6 (-6.3, 23.5)
Eaton County 6,10 413.5 # (397.4, 430.1) 523 2008-2012 stable stable trend 2.1 (-6.3, 11.3)
Emmet County 6,10 489.1 # (459.0, 520.8) 211 2008-2012 stable stable trend -1.0 (-14.3, 14.4)
Genesee County 6,10 514.3 # (505.1, 523.5) 2,484 2008-2012 stable stable trend -5.6 (-11.7, 1.0)
Gladwin County 6,10 475.7 # (444.5, 508.7) 195 2008-2012 stable stable trend -2.0 (-9.1, 5.7)
Gogebic County 6,10 324.9 # (293.4, 359.4) 84 2008-2012 stable stable trend 17.1 (-10.0, 52.3)
Grand Traverse County 6,10 521.2 # (501.4, 541.5) 551 2008-2012 stable stable trend -1.0 (-4.9, 2.9)
Gratiot County 6,10 447.1 # (420.7, 474.8) 219 2008-2012 falling falling trend -6.8 (-11.8, -1.5)
Hillsdale County 6,10 396.3 # (373.1, 420.5) 230 2008-2012 stable stable trend -6.1 (-17.8, 7.3)
Houghton County 6,10 373.8 # (347.0, 402.1) 153 2008-2012 stable stable trend -7.8 (-21.6, 8.5)
Huron County 6,10 448.5 # (421.6, 476.9) 228 2008-2012 stable stable trend -1.4 (-10.5, 8.7)
Ingham County 6,10 514.9 # (502.4, 527.7) 1,352 2008-2012 stable stable trend -5.5 (-16.1, 6.4)
Ionia County 6,10 417.8 # (395.6, 441.0) 275 2008-2012 stable stable trend -4.2 (-11.5, 3.7)
Iosco County 6,10 406.2 # (378.4, 435.9) 186 2008-2012 stable stable trend -3.6 (-14.1, 8.1)
Iron County 6,10 344.3 # (305.5, 387.6) 72 2008-2012 stable stable trend -0.4 (-19.9, 24.0)
Isabella County 6,10 446.7 # (422.3, 472.2) 260 2008-2012 stable stable trend -2.0 (-7.3, 3.5)
Jackson County 6,10 473.5 # (459.4, 487.9) 883 2008-2012 falling falling trend -3.4 (-5.0, -1.9)
Kalamazoo County 6,10 464.2 # (452.3, 476.4) 1,199 2008-2012 stable stable trend -1.9 (-7.5, 4.1)
Kalkaska County 6,10 469.6 # (428.6, 513.7) 103 2008-2012 stable stable trend -9.7 (-20.8, 3.0)
Kent County 6,10 473.3 # (465.4, 481.4) 2,809 2008-2012 stable stable trend -4.3 (-8.9, 0.6)
Keweenaw County 6,10 337.6 # (245.0, 458.2) 12 2008-2012 * *
Lake County 6,10 395.3 # (353.7, 441.3) 78 2008-2012 stable stable trend -2.0 (-17.5, 16.4)
Lapeer County 6,10 484.6 # (465.1, 504.9) 492 2008-2012 stable stable trend 0.8 (-5.9, 7.9)
Leelanau County 6,10 372.9 # (343.3, 404.9) 138 2008-2012 stable stable trend -6.9 (-20.4, 9.0)
Lenawee County 6,10 425.8 # (409.1, 443.0) 512 2008-2012 stable stable trend 1.6 (-2.0, 5.2)
Livingston County 6,10 433.5 # (420.1, 447.3) 855 2008-2012 rising rising trend 2.3 (0.4, 4.3)
Luce County 6,10 366.0 # (311.6, 428.1) 33 2008-2012 stable stable trend -7.1 (-19.9, 7.8)
Mackinac County 6,10 422.5 # (378.3, 471.3) 75 2008-2012 stable stable trend -2.0 (-14.8, 12.6)
Macomb County 7,8 506.5 (500.2, 513.0) 4,974 2008-2012 stable stable trend -0.2 (-0.4, 0.0)
Manistee County 6,10 494.9 # (462.1, 529.7) 186 2008-2012 stable stable trend -3.8 (-11.3, 4.3)
Marquette County 6,10 430.4 # (409.7, 451.9) 343 2008-2012 stable stable trend -2.7 (-12.5, 8.2)
Mason County 6,10 350.2 # (324.2, 377.9) 144 2008-2012 stable stable trend -10.4 (-23.6, 5.2)
Mecosta County 6,10 448.5 # (421.7, 476.6) 222 2008-2012 stable stable trend -1.2 (-12.7, 11.9)
Menominee County 6,10 310.1 # (283.3, 339.1) 108 2008-2012 stable stable trend 24.6 (-6.2, 65.5)
Midland County 6,10 438.7 # (420.2, 457.9) 436 2008-2012 stable stable trend -3.1 (-14.2, 9.3)
Missaukee County 6,10 417.3 # (377.5, 460.6) 84 2008-2012 stable stable trend -5.5 (-19.5, 10.8)
Monroe County 6,10 371.0 # (358.1, 384.2) 652 2008-2012 stable stable trend -5.2 (-10.7, 0.7)
Montcalm County 6,10 475.3 # (452.9, 498.5) 348 2008-2012 stable stable trend -4.2 (-12.6, 5.1)
Montmorency County 6,10 484.4 # (437.0, 536.9) 88 2008-2012 stable stable trend -7.2 (-14.3, 0.5)
Muskegon County 6,10 499.0 # (484.9, 513.5) 975 2008-2012 stable stable trend 1.3 (-3.4, 6.3)
Newaygo County 6,10 393.2 # (370.6, 416.8) 236 2008-2012 stable stable trend -5.6 (-14.2, 4.0)
Oakland County 7,8 495.7 (490.4, 501.1) 6,825 2008-2012 falling falling trend -0.9 (-1.4, -0.3)
Oceana County 6,10 370.2 # (341.2, 401.0) 128 2008-2012 stable stable trend -9.5 (-28.5, 14.6)
Ogemaw County 6,10 402.9 # (370.8, 437.2) 134 2008-2012 stable stable trend -8.7 (-17.6, 1.0)
Ontonagon County 6,10 396.0 # (343.4, 456.8) 49 2008-2012 stable stable trend -2.3 (-23.8, 25.3)
Osceola County 6,10 541.3 # (503.9, 580.8) 165 2008-2012 falling falling trend -8.5 (-14.5, -2.1)
Oscoda County 6,10 404.3 # (356.4, 458.0) 59 2008-2012 stable stable trend 4.3 (-6.0, 15.9)
Otsego County 6,10 457.0 # (423.5, 492.7) 145 2008-2012 falling falling trend -7.6 (-14.5, -0.2)
Ottawa County 6,10 404.1 # (393.1, 415.3) 1,060 2008-2012 stable stable trend -2.8 (-7.6, 2.3)
Presque Isle County 6,10 414.7 # (375.3, 458.0) 99 2008-2012 stable stable trend 0.9 (-14.8, 19.4)
Roscommon County 6,10 496.9 # (465.5, 530.4) 228 2008-2012 stable stable trend -2.5 (-8.3, 3.8)
Saginaw County 6,10 475.4 # (463.0, 488.0) 1,160 2008-2012 falling falling trend -3.3 (-6.1, -0.4)
Sanilac County 6,10 368.5 # (345.9, 392.2) 209 2008-2012 falling falling trend -6.2 (-9.9, -2.4)
Schoolcraft County 6,10 439.1 # (384.7, 499.9) 54 2008-2012 stable stable trend -5.8 (-20.4, 11.4)
Shiawassee County 6,10 505.0 # (483.3, 527.6) 421 2008-2012 stable stable trend -3.6 (-13.4, 7.3)
St. Clair County 6,10 488.0 # (474.0, 502.4) 953 2008-2012 falling falling trend -4.6 (-7.3, -1.9)
St. Joseph County 6,10 404.4 # (383.6, 426.1) 293 2008-2012 stable stable trend -2.6 (-7.5, 2.7)
Tuscola County 6,10 459.0 # (436.4, 482.5) 323 2008-2012 falling falling trend -5.4 (-8.6, -2.0)
Van Buren County 6,10 431.5 # (412.0, 451.7) 385 2008-2012 stable stable trend -0.8 (-8.9, 8.1)
Washtenaw County 6,10 463.9 # (453.1, 474.9) 1,490 2008-2012 stable stable trend -2.3 (-8.2, 4.0)
Wayne County 7,8 528.7 (524.1, 533.3) 10,411 2008-2012 stable stable trend -1.6 (-3.1, 0.1)
Wexford County 6,10 528.4 # (496.4, 562.1) 212 2008-2012 stable stable trend 0.8 (-9.3, 12.0)
Notes:
Created by statecancerprofiles.cancer.gov on 07/29/2015 6:02 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 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) 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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