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Incidence Rates Table

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Incidence Rate Report for by County

Breast, 2008-2012

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
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
Illinois 6,10 127.7 (126.5, 128.8) 9,349 stable stable trend 0.1 (-1.4, 1.5)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Putnam County 6,10 70.4 (39.8, 119.9) 3
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Gallatin County 6,10 75.2 (42.4, 127.3) 3
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Hamilton County 6,10 80.0 (51.4, 121.1) 5
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Cumberland County 6,10 83.7 (55.3, 122.3) 6
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*
Clark County 6,10 87.4 (64.3, 116.8) 10
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*
Lawrence County 6,10 89.6 (65.1, 121.2) 9
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Jersey County 6,10 92.3 (71.7, 117.4) 14
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Stephenson County 6,10 94.9 (80.1, 111.9) 32 stable stable trend 2.7 (-12.6, 20.6)
Randolph County 6,10 96.0 (77.7, 117.8) 21 stable stable trend -7.9 (-31.5, 23.7)
Edgar County 6,10 97.8 (75.8, 125.1) 14
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Shelby County 6,10 100.4 (78.7, 126.7) 16 stable stable trend 10.7 (-18.6, 50.6)
Cass County 6,10 103.5 (74.8, 140.2) 9
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Jo Daviess County 6,10 103.8 (82.8, 129.4) 19 rising rising trend 15.4 (8.7, 22.6)
Saline County 6,10 106.4 (85.9, 130.9) 20 stable stable trend -7.0 (-14.3, 0.9)
Lee County 6,10 109.2 (90.1, 131.3) 24 stable stable trend -0.8 (-26.2, 33.3)
Edwards County 6,10 110.0 (73.2, 162.0) 6
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Douglas County 6,10 110.1 (84.1, 141.8) 13
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McDonough County 6,10 110.5 (88.0, 137.0) 19 stable stable trend -1.8 (-32.7, 43.1)
Bureau County 6,10 110.6 (91.9, 132.3) 27 stable stable trend 9.8 (-20.6, 51.8)
Williamson County 6,10 111.4 (97.2, 127.2) 48 stable stable trend -8.9 (-23.5, 8.5)
Jefferson County 6,10 111.5 (93.2, 132.7) 28 stable stable trend 2.5 (-16.8, 26.5)
Henderson County 6,10 111.9 (73.8, 165.4) 6
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Wabash County 6,10 112.2 (80.7, 152.7) 9
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Calhoun County 6,10 112.4 (62.8, 186.8) 3
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Kankakee County 6,10 113.2 (101.8, 125.6) 75 stable stable trend 1.0 (-12.3, 16.2)
Massac County 6,10 113.2 (85.8, 147.3) 12
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Marion County 6,10 113.5 (95.2, 134.5) 29 stable stable trend 4.6 (-16.4, 30.9)
Fayette County 6,10 114.0 (88.1, 145.4) 14
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Pike County 6,10 114.3 (86.2, 149.1) 12
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Schuyler County 6,10 115.8 (75.8, 171.2) 6
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De Witt County 6,10 116.0 (87.6, 151.1) 12
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Mason County 6,10 117.4 (88.4, 153.7) 12
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Effingham County 6,10 117.9 (97.1, 142.0) 25 stable stable trend 3.8 (-15.6, 27.7)
Clay County 6,10 118.0 (88.6, 154.8) 12
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White County 6,10 118.1 (89.0, 154.3) 13
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Grundy County 6,10 118.1 (100.1, 138.5) 31 stable stable trend 1.6 (-13.6, 19.3)
Winnebago County 6,10 118.4 (111.2, 126.0) 209 stable stable trend -1.1 (-6.5, 4.6)
Hancock County 6,10 118.7 (92.3, 150.9) 16 stable stable trend -8.9 (-42.4, 44.2)
Jasper County 6,10 118.7 (81.9, 167.3) 7
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Washington County 6,10 118.9 (89.2, 156.0) 12
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Boone County 6,10 119.4 (102.2, 138.7) 35 stable stable trend -0.7 (-5.6, 4.4)
Knox County 6,10 120.2 (104.1, 138.2) 45 stable stable trend -1.0 (-19.6, 22.0)
Henry County 6,10 120.3 (103.9, 138.7) 41 stable stable trend 1.5 (-14.1, 19.9)
Johnson County 6,10 120.7 (88.3, 162.6) 10
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DeKalb County 6,10 120.9 (107.2, 135.7) 59 stable stable trend 2.1 (-14.5, 21.9)
Logan County 6,10 120.9 (99.9, 145.3) 25 stable stable trend 8.2 (-25.6, 57.3)
Jackson County 6,10 121.4 (104.0, 141.0) 37 stable stable trend -0.7 (-15.1, 16.2)
Livingston County 6,10 121.5 (102.5, 143.2) 31 stable stable trend 4.3 (-9.5, 20.3)
Ogle County 6,10 121.9 (105.3, 140.5) 40 stable stable trend 1.5 (-3.4, 6.7)
Adams County 6,10 122.0 (107.3, 138.2) 54 stable stable trend -0.4 (-9.8, 10.0)
Scott County 6,10 122.4 (72.2, 195.0) 4
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Brown County 6,10 122.5 (74.8, 192.2) 4
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Franklin County 6,10 122.8 (104.1, 144.0) 34 stable stable trend 3.4 (-3.0, 10.2)
Whiteside County 6,10 124.1 (108.5, 141.4) 50 stable stable trend -1.0 (-9.9, 8.7)
Iroquois County 6,10 124.1 (103.6, 147.9) 28 stable stable trend -1.0 (-11.2, 10.3)
Wayne County 6,10 124.1 (96.1, 158.3) 15 stable stable trend -2.8 (-37.8, 52.0)
Stark County 6,10 124.3 (80.2, 187.0) 6
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St. Clair County 6,10 124.4 (116.6, 132.6) 195 stable stable trend -2.8 (-12.9, 8.4)
McLean County 6,10 124.6 (114.0, 136.0) 105 stable stable trend -2.0 (-11.1, 8.1)
La Salle County 6,10 125.0 (113.3, 137.5) 91 falling falling trend -8.9 (-15.1, -2.3)
Tazewell County 6,10 125.0 (114.4, 136.3) 108 stable stable trend 1.9 (-9.7, 14.9)
Madison County 6,10 125.1 (117.4, 133.3) 204 stable stable trend -3.9 (-7.8, 0.2)
Rock Island County 6,10 125.7 (115.4, 136.6) 120 stable stable trend -4.4 (-13.7, 5.9)
Kendall County 6,10 125.7 (111.8, 140.9) 63 stable stable trend 6.1 (-6.3, 20.2)
Kane County 6,10 126.0 (119.9, 132.5) 321 stable stable trend -1.5 (-5.7, 2.8)
Morgan County 6,10 126.1 (105.7, 149.6) 29 stable stable trend 6.7 (-17.0, 37.0)
Perry County 6,10 126.4 (99.7, 158.5) 17 stable stable trend 2.2 (-27.8, 44.8)
Alexander County 6,10 126.8 (85.9, 181.7) 7
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Warren County 6,10 127.4 (99.1, 161.8) 15 stable stable trend -0.0 (-27.9, 38.6)
Cook County 6,10 127.5 (125.7, 129.4) 3,707 stable stable trend -0.2 (-1.2, 0.8)
Union County 6,10 127.7 (99.8, 161.7) 16 stable stable trend 0.0 (-29.8, 42.5)
Macoupin County 6,10 128.0 (110.7, 147.5) 42 stable stable trend -1.6 (-16.7, 16.3)
Montgomery County 6,10 128.6 (106.3, 154.6) 25 stable stable trend 2.4 (-16.8, 26.0)
Greene County 6,10 128.7 (95.5, 170.1) 11
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Will County 6,10 128.8 (123.3, 134.4) 434 stable stable trend -0.4 (-5.0, 4.4)
Fulton County 6,10 128.8 (108.4, 152.3) 31 stable stable trend 13.0 (-16.1, 52.3)
McHenry County 6,10 129.9 (122.1, 138.1) 217 stable stable trend 2.9 (-4.4, 10.7)
Ford County 6,10 131.3 (100.8, 169.1) 14
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Coles County 6,10 131.6 (113.1, 152.3) 39 stable stable trend -3.9 (-25.3, 23.6)
Peoria County 6,10 131.8 (122.2, 142.0) 147 stable stable trend -2.6 (-14.8, 11.3)
Mercer County 6,10 132.6 (103.7, 167.8) 16 stable stable trend -2.1 (-35.6, 48.8)
Christian County 6,10 132.9 (111.6, 157.3) 30 stable stable trend -3.4 (-19.5, 15.8)
Monroe County 6,10 133.7 (111.8, 159.0) 27 stable stable trend 5.6 (-15.0, 31.1)
Macon County 6,10 134.2 (122.2, 147.1) 99 stable stable trend -1.3 (-7.5, 5.4)
Champaign County 6,10 134.2 (123.7, 145.4) 125 stable stable trend -3.2 (-12.2, 6.9)
Vermilion County 6,10 134.8 (120.3, 150.5) 69 stable stable trend 0.1 (-22.3, 29.0)
Richland County 6,10 135.5 (106.5, 170.8) 16 stable stable trend 12.1 (-16.4, 50.2)
Lake County 6,10 136.1 (130.7, 141.6) 512 stable stable trend 0.3 (-5.8, 6.8)
Menard County 6,10 138.4 (103.6, 181.8) 12
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Crawford County 6,10 138.6 (110.8, 171.8) 18 stable stable trend 2.4 (-36.9, 66.0)
Sangamon County 6,10 139.4 (130.0, 149.2) 175 stable stable trend 1.1 (-3.6, 5.9)
Clinton County 6,10 141.4 (120.0, 165.8) 32 rising rising trend 7.3 (0.8, 14.4)
Woodford County 6,10 141.9 (120.6, 166.0) 33 stable stable trend 0.0 (-6.9, 7.5)
DuPage County 6,10 143.3 (138.7, 148.0) 762 stable stable trend 2.8 (-2.0, 7.8)
Pulaski County 6,10 145.4 (95.1, 214.0) 6
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Carroll County 6,10 145.6 (111.9, 186.8) 16 stable stable trend -2.0 (-26.8, 31.3)
Marshall County 6,10 147.2 (110.3, 193.1) 12
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Moultrie County 6,10 148.0 (114.5, 188.8) 15 stable stable trend 11.1 (-10.0, 37.2)
Bond County 6,10 150.2 (117.8, 189.3) 16 stable stable trend -10.3 (-34.0, 22.0)
Piatt County 6,10 155.0 (123.0, 193.4) 17 stable stable trend -17.9 (-35.2, 4.0)
Hardin County 6,10
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3 or fewer
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Pope County 6,10
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3 or fewer
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Notes:
Created by statecancerprofiles.cancer.gov on 06/27/2016 6:15 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. 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.
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.


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