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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
Ohio 6,10 120.5 (119.3, 121.6) 8,541 stable stable trend -0.4 (-3.0, 2.3)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Knox County 6,10 155.7 (137.7, 175.5) 57 falling falling trend -2.0 (-3.4, -0.6)
Auglaize County 6,10 139.2 (120.0, 160.9) 40 stable stable trend 4.5 (-9.1, 20.0)
Lake County 6,10 135.7 (127.3, 144.5) 209 stable stable trend 2.8 (-1.5, 7.3)
Erie County 6,10 134.7 (120.5, 150.2) 70 stable stable trend 2.7 (-16.3, 26.0)
Delaware County 6,10 134.2 (123.5, 145.6) 121 stable stable trend -2.1 (-11.5, 8.4)
Van Wert County 6,10 134.1 (110.9, 160.8) 26 stable stable trend 5.2 (-19.9, 38.1)
Warren County 6,10 133.5 (124.1, 143.4) 154 stable stable trend 6.3 (-4.3, 18.0)
Hamilton County 6,10 131.1 (126.5, 135.9) 634 stable stable trend 0.1 (-7.5, 8.3)
Clark County 6,10 130.5 (119.8, 142.0) 119 stable stable trend 1.9 (-13.1, 19.5)
Cuyahoga County 6,10 130.5 (126.9, 134.1) 1,108 stable stable trend -0.7 (-1.7, 0.4)
Medina County 6,10 129.1 (119.3, 139.4) 135 stable stable trend -2.2 (-6.7, 2.6)
Athens County 6,10 128.3 (110.2, 148.7) 37 stable stable trend 2.7 (-5.1, 11.1)
Greene County 6,10 127.1 (117.1, 137.8) 124 stable stable trend 3.8 (-9.7, 19.2)
Franklin County 6,10 126.5 (122.5, 130.7) 755 stable stable trend 1.8 (-3.3, 7.2)
Ashland County 6,10 125.7 (108.8, 144.6) 42 stable stable trend 0.2 (-14.3, 17.1)
Ottawa County 6,10 125.4 (107.6, 145.7) 39 stable stable trend 2.8 (-12.9, 21.3)
Mahoning County 6,10 125.0 (117.2, 133.2) 213 stable stable trend -3.5 (-13.9, 8.1)
Butler County 6,10 123.9 (117.1, 131.1) 251 stable stable trend -2.9 (-8.2, 2.7)
Geauga County 6,10 123.6 (111.3, 137.1) 78 stable stable trend 3.0 (-14.1, 23.3)
Licking County 6,10 123.1 (113.4, 133.5) 122 stable stable trend 0.0 (-4.7, 5.0)
Montgomery County 6,10 123.1 (117.8, 128.6) 429 stable stable trend 1.2 (-2.2, 4.8)
Hocking County 6,10 123.1 (100.8, 149.0) 22 stable stable trend -14.2 (-37.0, 16.8)
Clinton County 6,10 122.7 (103.7, 144.2) 31 stable stable trend -1.1 (-23.4, 27.7)
Pickaway County 6,10 122.6 (105.8, 141.5) 39 stable stable trend 1.9 (-4.0, 8.1)
Union County 6,10 122.2 (103.6, 143.1) 32 stable stable trend 1.8 (-12.8, 18.7)
Clermont County 6,10 122.1 (113.0, 131.7) 140 stable stable trend 4.8 (-11.1, 23.6)
Logan County 6,10 120.8 (103.2, 140.6) 35 stable stable trend -7.6 (-21.6, 8.9)
Crawford County 6,10 120.6 (103.0, 140.5) 36 stable stable trend -0.6 (-14.8, 16.0)
Columbiana County 6,10 120.5 (108.8, 133.1) 85 stable stable trend 0.5 (-8.8, 10.9)
Trumbull County 6,10 119.5 (111.4, 128.1) 176 stable stable trend -3.4 (-11.0, 4.8)
Champaign County 6,10 119.5 (100.6, 141.1) 30 stable stable trend -6.4 (-16.0, 4.2)
Fairfield County 6,10 119.3 (108.9, 130.3) 101 stable stable trend -0.5 (-6.7, 6.1)
Lorain County 6,10 118.3 (111.3, 125.7) 223 stable stable trend 4.5 (-3.1, 12.7)
Hardin County 6,10 118.1 (96.4, 143.5) 21 stable stable trend -4.5 (-30.9, 32.0)
Washington County 6,10 118.0 (103.2, 134.6) 50 stable stable trend -1.6 (-12.7, 10.9)
Jefferson County 6,10 117.7 (103.8, 133.1) 58 stable stable trend -3.3 (-14.7, 9.7)
Scioto County 6,10 117.1 (103.7, 131.8) 59 stable stable trend 6.5 (-8.0, 23.2)
Seneca County 6,10 116.7 (101.0, 134.4) 42 stable stable trend -5.6 (-18.6, 9.5)
Williams County 6,10 116.5 (97.4, 138.5) 28 stable stable trend 1.7 (-25.2, 38.2)
Putnam County 6,10 116.2 (96.0, 139.7) 24 stable stable trend -3.7 (-20.6, 16.8)
Allen County 6,10 116.2 (104.2, 129.1) 74 stable stable trend 3.7 (-7.6, 16.2)
Hancock County 6,10 116.1 (102.1, 131.5) 53 stable stable trend 2.9 (-7.6, 14.7)
Ashtabula County 6,10 116.1 (104.3, 128.9) 75 stable stable trend -1.0 (-9.5, 8.3)
Summit County 6,10 115.8 (110.7, 121.2) 401 stable stable trend 0.4 (-7.5, 9.0)
Coshocton County 6,10 115.2 (96.6, 136.4) 29 stable stable trend -3.2 (-21.8, 20.0)
Stark County 6,10 115.1 (109.0, 121.5) 288 stable stable trend -3.2 (-8.0, 1.8)
Marion County 6,10 115.0 (100.3, 131.5) 46 stable stable trend -3.6 (-19.5, 15.5)
Portage County 6,10 114.0 (104.2, 124.4) 104 stable stable trend 0.7 (-10.9, 13.8)
Miami County 6,10 113.7 (102.2, 126.2) 75 stable stable trend 2.4 (-10.5, 17.2)
Huron County 6,10 113.4 (98.0, 130.6) 40 falling falling trend -10.4 (-14.0, -6.6)
Sandusky County 6,10 113.2 (98.6, 129.6) 45 stable stable trend -3.6 (-19.5, 15.5)
Richland County 6,10 112.5 (102.1, 123.7) 92 stable stable trend -1.9 (-14.0, 11.9)
Defiance County 6,10 112.3 (93.4, 133.9) 27 stable stable trend -0.0 (-26.4, 35.9)
Madison County 6,10 111.4 (93.1, 132.4) 27 stable stable trend -4.1 (-26.7, 25.5)
Wyandot County 6,10 111.2 (86.8, 140.5) 15 stable stable trend 17.2 (-17.1, 65.8)
Tuscarawas County 6,10 111.1 (99.3, 124.1) 69 stable stable trend -4.0 (-14.6, 7.8)
Ross County 6,10 110.1 (96.8, 124.9) 51 stable stable trend -0.5 (-18.5, 21.5)
Pike County 6,10 109.7 (88.5, 134.6) 19 stable stable trend 12.0 (0.0, 25.5)
Adams County 6,10 109.7 (88.3, 134.9) 19 stable stable trend -4.0 (-34.0, 39.8)
Wayne County 6,10 108.7 (97.7, 120.5) 76 stable stable trend -8.1 (-20.6, 6.5)
Lawrence County 6,10 108.5 (94.3, 124.4) 44 stable stable trend -8.7 (-28.6, 16.9)
Mercer County 6,10 108.4 (90.3, 129.1) 27 stable stable trend 8.0 (-8.6, 27.5)
Darke County 6,10 107.3 (91.8, 124.8) 37 stable stable trend 7.6 (-4.8, 21.6)
Preble County 6,10 107.0 (89.9, 126.5) 29 stable stable trend -10.7 (-24.4, 5.4)
Morgan County 6,10 106.1 (79.3, 139.8) 11
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*
Harrison County 6,10 105.6 (79.5, 138.4) 12
*
*
Wood County 6,10 104.8 (94.1, 116.3) 74 stable stable trend -0.7 (-12.6, 12.8)
Shelby County 6,10 104.7 (88.2, 123.6) 29 stable stable trend -9.8 (-28.5, 13.7)
Muskingum County 6,10 103.5 (91.6, 116.5) 58 stable stable trend 3.3 (-19.0, 31.8)
Guernsey County 6,10 103.1 (86.0, 122.8) 27 stable stable trend -9.9 (-20.8, 2.4)
Morrow County 6,10 103.1 (84.0, 125.5) 21 stable stable trend -9.3 (-26.6, 12.1)
Highland County 6,10 103.1 (86.0, 122.7) 27 stable stable trend 1.0 (-12.5, 16.5)
Henry County 6,10 103.0 (83.1, 126.6) 19 stable stable trend -8.7 (-19.0, 3.0)
Paulding County 6,10 102.3 (77.8, 132.4) 12
*
*
Meigs County 6,10 101.8 (79.9, 128.2) 15 stable stable trend -4.0 (-20.5, 16.0)
Perry County 6,10 101.7 (83.4, 123.1) 22 stable stable trend 17.2 (-5.4, 45.2)
Vinton County 6,10 100.7 (71.0, 139.1) 8
*
*
Brown County 6,10 98.4 (82.0, 117.2) 26 stable stable trend 6.6 (-12.9, 30.5)
Noble County 6,10 96.9 (67.0, 136.1) 8
*
*
Belmont County 6,10 96.6 (84.2, 110.4) 49 stable stable trend -10.0 (-46.6, 52.0)
Jackson County 6,10 96.0 (78.0, 117.1) 21 stable stable trend -1.4 (-10.2, 8.3)
Fayette County 6,10 95.9 (76.7, 118.8) 18 stable stable trend 8.6 (-20.7, 48.9)
Lucas County 6,10 91.9 (86.7, 97.3) 243 stable stable trend -8.1 (-17.1, 1.9)
Gallia County 6,10 91.1 (72.8, 112.8) 18 stable stable trend -18.2 (-37.9, 7.9)
Carroll County 6,10 88.2 (70.1, 109.9) 17 stable stable trend -8.0 (-21.6, 7.9)
Fulton County 6,10 80.7 (66.0, 97.8) 22 stable stable trend -7.0 (-30.7, 24.8)
Holmes County 6,10 80.4 (63.9, 99.8) 17 stable stable trend -11.2 (-22.8, 2.1)
Monroe County 6,10 79.1 (56.2, 109.4) 9
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/01/2016 7:48 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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