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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 rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Tennessee 6,10 120.6 (119.0, 122.2) 4,598 stable stable trend -0.3 (-1.8, 1.3)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Macon County 6,10 166.9 (136.1, 202.7) 21 stable stable trend -26.2 (-49.0, 6.6)
Clay County 6,10 155.5 (108.4, 217.2) 8
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Van Buren County 6,10 151.7 (99.7, 224.1) 6
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Fayette County 6,10 141.7 (121.1, 165.0) 36 stable stable trend -6.0 (-26.5, 20.3)
Hardeman County 6,10 141.5 (115.2, 172.4) 22 stable stable trend -5.1 (-23.6, 17.8)
Lewis County 6,10 137.7 (102.9, 181.4) 11
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Smith County 6,10 135.1 (106.0, 170.0) 15 stable stable trend -7.7 (-25.9, 14.9)
Cheatham County 6,10 134.8 (113.5, 159.1) 30 stable stable trend 2.0 (-3.5, 7.8)
Williamson County 6,10 134.4 (124.2, 145.3) 137 stable stable trend 5.9 (-6.5, 20.0)
Marion County 6,10 130.9 (107.8, 157.8) 24 stable stable trend 3.9 (-10.1, 20.0)
Haywood County 6,10 130.4 (102.0, 164.5) 15 stable stable trend 13.6 (-29.9, 84.2)
Fentress County 6,10 130.1 (101.8, 164.4) 16 stable stable trend 14.4 (-7.9, 42.1)
Knox County 6,10 129.9 (123.7, 136.4) 334 stable stable trend -2.7 (-6.0, 0.7)
Anderson County 6,10 129.9 (116.2, 144.9) 70 stable stable trend 5.4 (-7.6, 20.3)
Hickman County 6,10 129.3 (103.6, 159.8) 18 stable stable trend -5.2 (-36.1, 40.7)
Davidson County 6,10 129.0 (123.5, 134.7) 425 stable stable trend -1.9 (-11.6, 8.9)
Shelby County 6,10 128.3 (123.9, 132.9) 650 stable stable trend 1.2 (-1.2, 3.6)
Sumner County 6,10 127.7 (117.7, 138.4) 123 stable stable trend 3.9 (-4.0, 12.4)
Humphreys County 6,10 127.5 (99.1, 161.9) 15 stable stable trend 29.6 (-21.4, 113.7)
Blount County 6,10 125.2 (114.4, 136.9) 104 stable stable trend 0.2 (-6.8, 7.7)
Rhea County 6,10 124.9 (103.6, 149.6) 26 stable stable trend -8.0 (-28.6, 18.5)
Robertson County 6,10 123.9 (108.2, 141.2) 46 stable stable trend -1.7 (-14.9, 13.6)
Wilson County 6,10 123.1 (111.3, 135.9) 83 stable stable trend -1.9 (-9.5, 6.4)
Campbell County 6,10 122.8 (104.4, 143.7) 34 rising rising trend 6.6 (1.5, 11.9)
Marshall County 6,10 122.5 (100.2, 148.5) 22 stable stable trend 0.8 (-15.4, 20.1)
Madison County 6,10 122.2 (109.7, 135.8) 72 rising rising trend 6.9 (1.6, 12.4)
Washington County 6,10 121.2 (110.1, 133.1) 93 stable stable trend -0.4 (-12.1, 12.8)
Hamilton County 6,10 121.2 (114.5, 128.1) 263 stable stable trend -2.2 (-10.0, 6.3)
Perry County 6,10 121.0 (82.0, 174.0) 7
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Roane County 6,10 120.6 (105.5, 137.5) 49 falling falling trend -14.9 (-23.7, -5.2)
Gibson County 6,10 120.6 (103.8, 139.4) 39 stable stable trend 9.4 (-10.5, 33.7)
Putnam County 6,10 120.2 (105.6, 136.3) 52 stable stable trend -1.4 (-19.7, 21.0)
Union County 6,10 119.6 (92.7, 152.4) 14
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DeKalb County 6,10 119.1 (93.2, 150.6) 15 stable stable trend 12.7 (-20.0, 58.7)
Cumberland County 6,10 118.9 (103.7, 136.0) 54 stable stable trend -5.4 (-29.6, 27.3)
Hamblen County 6,10 118.8 (104.1, 135.1) 49 stable stable trend 0.2 (-8.7, 10.0)
Henderson County 6,10 118.6 (97.0, 143.8) 22 stable stable trend -1.6 (-8.3, 5.5)
White County 6,10 118.4 (95.9, 144.9) 21 stable stable trend 5.1 (-9.4, 21.9)
Greene County 6,10 117.9 (104.1, 133.2) 56 stable stable trend -10.4 (-22.1, 3.1)
Crockett County 6,10 117.8 (88.1, 154.8) 11
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Jackson County 6,10 117.4 (84.3, 160.3) 9
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Sullivan County 6,10 117.4 (108.4, 127.0) 135 stable stable trend -0.6 (-9.2, 8.7)
Wayne County 6,10 117.1 (89.1, 152.0) 12
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Loudon County 6,10 116.8 (101.1, 134.5) 45 stable stable trend 8.6 (-9.0, 29.6)
Grainger County 6,10 116.5 (92.5, 145.4) 17 stable stable trend -8.0 (-30.5, 21.9)
Lauderdale County 6,10 116.2 (93.0, 143.6) 18 stable stable trend -3.3 (-33.9, 41.4)
Morgan County 6,10 116.1 (90.6, 147.1) 15 stable stable trend -0.7 (-28.6, 38.1)
Maury County 6,10 114.5 (101.3, 128.9) 57 stable stable trend 0.9 (-11.0, 14.5)
Sevier County 6,10 114.1 (101.9, 127.5) 67 stable stable trend 6.8 (-3.8, 18.5)
Weakley County 6,10 113.9 (94.3, 136.6) 25 stable stable trend -0.5 (-23.2, 28.9)
Bradley County 6,10 113.3 (101.4, 126.2) 68 stable stable trend -3.9 (-16.9, 11.1)
Monroe County 6,10 113.2 (96.3, 132.4) 34 stable stable trend -8.6 (-18.8, 2.8)
Rutherford County 6,10 113.0 (104.5, 122.0) 136 stable stable trend 1.4 (-6.7, 10.2)
Claiborne County 6,10 112.1 (92.3, 135.1) 24 stable stable trend -5.6 (-20.2, 11.7)
Hardin County 6,10 111.9 (90.3, 137.5) 20 stable stable trend -3.9 (-27.7, 27.8)
McMinn County 6,10 111.6 (96.3, 128.8) 40 stable stable trend -8.0 (-15.4, 0.2)
Tipton County 6,10 111.1 (95.4, 128.8) 37 stable stable trend 1.4 (-7.5, 11.3)
Bedford County 6,10 110.9 (93.4, 130.9) 29 stable stable trend -1.0 (-19.9, 22.4)
Hawkins County 6,10 110.8 (96.0, 127.5) 42 stable stable trend -3.4 (-20.2, 17.0)
Franklin County 6,10 110.7 (92.8, 131.1) 30 stable stable trend -5.6 (-28.0, 23.8)
Obion County 6,10 110.5 (91.4, 132.8) 25 stable stable trend 11.7 (-11.0, 40.2)
Jefferson County 6,10 109.7 (93.9, 127.6) 37 stable stable trend 7.8 (-9.3, 28.1)
Dickson County 6,10 108.7 (92.3, 127.3) 32 stable stable trend 1.3 (-12.7, 17.5)
Montgomery County 6,10 108.0 (97.6, 119.2) 81 stable stable trend -0.1 (-13.4, 15.2)
Stewart County 6,10 108.0 (77.7, 146.8) 9
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Grundy County 6,10 107.0 (78.3, 143.5) 10
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Chester County 6,10 106.1 (79.2, 139.5) 11
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Scott County 6,10 105.9 (82.0, 134.9) 14
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Warren County 6,10 105.9 (88.0, 126.6) 26 stable stable trend 5.3 (-22.3, 42.7)
Carter County 6,10 105.3 (90.8, 121.6) 40 stable stable trend -0.3 (-13.6, 15.1)
Unicoi County 6,10 104.4 (80.2, 134.5) 14
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Giles County 6,10 104.2 (85.0, 126.9) 22 stable stable trend -2.7 (-17.3, 14.5)
Dyer County 6,10 103.9 (86.2, 124.4) 25 stable stable trend -2.3 (-6.5, 2.0)
Lincoln County 6,10 103.3 (85.0, 124.7) 24 stable stable trend -6.6 (-22.7, 12.8)
Cocke County 6,10 103.0 (85.0, 124.0) 25 stable stable trend -4.5 (-24.4, 20.7)
Moore County 6,10 102.8 (63.7, 159.5) 5
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Overton County 6,10 102.7 (80.9, 129.1) 16 stable stable trend -4.1 (-16.1, 9.8)
Carroll County 6,10 100.8 (81.0, 124.1) 20 stable stable trend -6.2 (-24.8, 16.9)
Decatur County 6,10 100.1 (70.4, 139.2) 8
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Hancock County 6,10 100.1 (62.8, 153.8) 5
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Coffee County 6,10 98.7 (84.0, 115.4) 33 stable stable trend 5.1 (-15.5, 30.7)
Benton County 6,10 98.2 (73.6, 129.2) 12
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Lawrence County 6,10 98.0 (81.6, 116.8) 27 stable stable trend 5.7 (-0.4, 12.3)
Sequatchie County 6,10 95.1 (68.5, 129.4) 9
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Johnson County 6,10 94.7 (70.8, 125.0) 12
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Henry County 6,10 93.0 (76.2, 112.9) 23 stable stable trend 10.7 (-9.0, 34.6)
McNairy County 6,10 92.9 (73.4, 116.5) 17 stable stable trend -7.7 (-20.6, 7.1)
Polk County 6,10 92.6 (68.0, 123.8) 10
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Meigs County 6,10 92.4 (63.1, 131.6) 7
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Cannon County 6,10 90.9 (65.0, 124.7) 8
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Lake County 6,10 90.7 (51.1, 150.9) 3
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Pickett County 6,10 90.0 (51.1, 151.9) 4
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Houston County 6,10 88.6 (55.6, 135.1) 5
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Bledsoe County 6,10 82.0 (56.1, 117.2) 7
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Trousdale County 6,10 74.1 (41.7, 122.0) 3
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Notes:
Created by statecancerprofiles.cancer.gov on 05/25/2016 9:02 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 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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