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Incidence Rates Table

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Incidence Rate Report for Ohio by County

All Races (includes Hispanic), Female, Lung & Bronchus, 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
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Ohio 6,10 59.8 (59.0, 60.6) 4,422 2008-2012 stable stable trend -2.1 (-4.3, 0.1)
US (SEER+NPCR) 1,10 54.1 (53.9, 54.2) 99,801 § 2008-2012 falling falling trend -2.0 (-2.6, -1.5)
Adams County 6,10 83.3 (65.7, 104.6) 16 2008-2012 stable stable trend 1.0 (-21.6, 30.2)
Allen County 6,10 55.3 (47.5, 64.0) 38 2008-2012 stable stable trend -5.5 (-16.5, 6.8)
Ashland County 6,10 49.2 (39.3, 61.0) 18 2008-2012 stable stable trend 9.6 (-9.5, 32.7)
Ashtabula County 6,10 73.9 (65.0, 83.9) 51 2008-2012 stable stable trend -9.1 (-20.9, 4.6)
Athens County 6,10 70.6 (57.6, 85.8) 21 2008-2012 stable stable trend -8.4 (-27.0, 14.9)
Auglaize County 6,10 54.9 (43.8, 68.3) 17 2008-2012 stable stable trend 7.3 (-15.8, 36.7)
Belmont County 6,10 58.8 (49.7, 69.3) 31 2008-2012 stable stable trend -15.5 (-31.0, 3.4)
Brown County 6,10 94.8 (79.1, 112.9) 26 2008-2012 stable stable trend -6.0 (-28.1, 23.1)
Butler County 6,10 63.0 (58.2, 68.1) 128 2008-2012 stable stable trend 2.0 (-5.4, 10.0)
Carroll County 6,10 46.6 (34.1, 62.9) 10 2008-2012
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Champaign County 6,10 49.6 (37.9, 64.0) 12 2008-2012
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Clark County 6,10 61.1 (54.3, 68.6) 61 2008-2012 stable stable trend -2.6 (-11.7, 7.4)
Clermont County 6,10 76.9 (69.7, 84.7) 86 2008-2012 stable stable trend -0.2 (-10.5, 11.3)
Clinton County 6,10 76.3 (61.9, 93.1) 20 2008-2012 stable stable trend -4.7 (-27.9, 26.1)
Columbiana County 6,10 58.4 (50.9, 66.9) 45 2008-2012 stable stable trend -1.8 (-17.0, 16.0)
Coshocton County 6,10 67.3 (53.8, 83.6) 17 2008-2012 stable stable trend 2.7 (-14.5, 23.2)
Crawford County 6,10 49.2 (39.1, 61.5) 17 2008-2012 stable stable trend 6.2 (-14.3, 31.6)
Cuyahoga County 6,10 59.6 (57.3, 61.9) 545 2008-2012 stable stable trend -2.5 (-7.3, 2.7)
Darke County 6,10 51.5 (41.4, 63.6) 19 2008-2012 stable stable trend 11.8 (-3.4, 29.3)
Defiance County 6,10 57.0 (44.2, 72.6) 14 2008-2012
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Delaware County 6,10 57.8 (50.5, 66.0) 46 2008-2012 stable stable trend -8.0 (-19.5, 5.2)
Erie County 6,10 50.0 (41.9, 59.4) 28 2008-2012 stable stable trend -7.0 (-23.0, 12.5)
Fairfield County 6,10 60.1 (52.9, 68.1) 51 2008-2012 stable stable trend -2.3 (-6.3, 1.9)
Fayette County 6,10 68.0 (52.0, 87.7) 13 2008-2012
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Franklin County 6,10 60.3 (57.5, 63.3) 348 2008-2012 falling falling trend -4.6 (-7.5, -1.7)
Fulton County 6,10 42.8 (32.3, 55.8) 12 2008-2012
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Gallia County 6,10 63.9 (49.5, 81.6) 14 2008-2012
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Geauga County 6,10 51.0 (43.3, 59.7) 33 2008-2012 stable stable trend -1.9 (-20.3, 20.9)
Greene County 6,10 55.7 (49.2, 62.8) 55 2008-2012 stable stable trend -4.0 (-14.6, 8.0)
Guernsey County 6,10 65.8 (52.9, 81.3) 18 2008-2012 stable stable trend -2.8 (-28.9, 32.8)
Hamilton County 6,10 66.2 (63.0, 69.5) 331 2008-2012 stable stable trend 0.4 (-5.9, 7.1)
Hancock County 6,10 44.6 (36.3, 54.2) 21 2008-2012 stable stable trend 16.5 (-13.7, 57.2)
Hardin County 6,10 53.7 (40.0, 71.0) 10 2008-2012
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Harrison County 6,10 55.8 (38.5, 79.6) 7 2008-2012
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Henry County 6,10 48.6 (35.3, 65.7) 9 2008-2012
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Highland County 6,10 60.0 (47.9, 74.5) 17 2008-2012 stable stable trend -3.7 (-8.3, 1.1)
Hocking County 6,10 69.1 (53.0, 88.8) 13 2008-2012
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Holmes County 6,10 25.5 (16.7, 37.1) 5 2008-2012
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Huron County 6,10 56.1 (45.7, 68.2) 21 2008-2012 stable stable trend 0.7 (-14.9, 19.3)
Jackson County 6,10 62.0 (47.6, 79.8) 13 2008-2012
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Jefferson County 6,10 66.3 (56.6, 77.4) 35 2008-2012 stable stable trend 4.4 (-8.4, 18.9)
Knox County 6,10 53.5 (43.3, 65.4) 20 2008-2012 stable stable trend -4.0 (-21.4, 17.2)
Lake County 6,10 71.5 (65.8, 77.6) 119 2008-2012 stable stable trend -2.8 (-14.5, 10.5)
Lawrence County 6,10 68.4 (57.5, 80.8) 29 2008-2012 stable stable trend -6.2 (-23.3, 14.8)
Licking County 6,10 65.3 (58.4, 72.9) 66 2008-2012 stable stable trend -6.1 (-23.8, 15.8)
Logan County 6,10 59.2 (47.5, 73.3) 18 2008-2012 stable stable trend -0.5 (-21.1, 25.6)
Lorain County 6,10 61.0 (56.1, 66.2) 120 2008-2012 stable stable trend -3.1 (-8.4, 2.5)
Lucas County 6,10 53.1 (49.2, 57.3) 143 2008-2012 falling falling trend -13.0 (-20.3, -5.0)
Madison County 6,10 61.9 (48.7, 77.8) 15 2008-2012 stable stable trend 3.8 (-7.6, 16.6)
Mahoning County 6,10 55.9 (51.1, 61.1) 105 2008-2012 stable stable trend -4.2 (-14.1, 7.0)
Marion County 6,10 70.8 (59.6, 83.6) 29 2008-2012 stable stable trend -5.5 (-19.6, 11.0)
Medina County 6,10 52.9 (46.7, 59.8) 54 2008-2012 stable stable trend -1.9 (-12.6, 10.2)
Meigs County 6,10 69.2 (52.0, 90.8) 11 2008-2012
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Mercer County 6,10 31.7 (23.0, 43.0) 9 2008-2012
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Miami County 6,10 58.3 (50.4, 67.2) 40 2008-2012 stable stable trend -2.7 (-17.4, 14.6)
Monroe County 6,10 38.5 (23.9, 60.3) 4 2008-2012
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Montgomery County 6,10 67.7 (64.0, 71.7) 249 2008-2012 stable stable trend 2.4 (-0.7, 5.5)
Morgan County 6,10 78.2 (55.9, 107.6) 8 2008-2012
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Morrow County 6,10 49.2 (37.0, 64.6) 11 2008-2012
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Muskingum County 6,10 66.4 (57.3, 76.6) 39 2008-2012 stable stable trend 9.6 (-18.0, 46.4)
Noble County 6,10 75.6 (51.5, 108.1) 6 2008-2012
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Ottawa County 6,10 48.1 (37.9, 60.7) 16 2008-2012 stable stable trend 14.6 (-11.9, 49.2)
Paulding County 6,10 84.9 (63.6, 111.5) 11 2008-2012
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Perry County 6,10 73.8 (58.3, 92.4) 16 2008-2012 stable stable trend 10.7 (-0.7, 23.4)
Pickaway County 6,10 63.6 (51.8, 77.3) 21 2008-2012 stable stable trend 4.5 (-6.4, 16.7)
Pike County 6,10 79.3 (62.0, 100.2) 15 2008-2012 stable stable trend -1.2 (-11.1, 9.8)
Portage County 6,10 63.3 (56.2, 71.0) 59 2008-2012 stable stable trend -4.9 (-19.1, 11.8)
Preble County 6,10 68.3 (55.2, 83.9) 19 2008-2012 stable stable trend -2.1 (-16.2, 14.4)
Putnam County 6,10 37.2 (26.5, 51.1) 8 2008-2012
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Richland County 6,10 57.2 (50.2, 64.9) 51 2008-2012 stable stable trend -3.4 (-20.3, 17.3)
Ross County 6,10 62.6 (52.9, 73.7) 30 2008-2012 stable stable trend -4.3 (-22.5, 18.2)
Sandusky County 6,10 46.4 (37.5, 57.1) 19 2008-2012 stable stable trend -1.9 (-14.8, 12.9)
Scioto County 6,10 80.6 (70.0, 92.5) 43 2008-2012 stable stable trend -10.7 (-36.6, 25.7)
Seneca County 6,10 51.4 (41.4, 63.3) 19 2008-2012 stable stable trend 20.2 (-5.4, 52.7)
Shelby County 6,10 49.8 (38.8, 63.1) 14 2008-2012
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Stark County 6,10 53.5 (49.6, 57.7) 144 2008-2012 stable stable trend 0.4 (-9.2, 11.1)
Summit County 6,10 56.2 (52.8, 59.8) 207 2008-2012 stable stable trend -3.1 (-9.0, 3.1)
Trumbull County 6,10 65.4 (59.7, 71.6) 103 2008-2012 stable stable trend -4.6 (-14.5, 6.4)
Tuscarawas County 6,10 45.3 (38.2, 53.4) 30 2008-2012 stable stable trend -1.1 (-12.5, 11.7)
Union County 6,10 55.2 (42.7, 70.2) 14 2008-2012
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Van Wert County 6,10 45.5 (33.3, 61.3) 9 2008-2012
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Vinton County 6,10 88.9 (62.3, 123.7) 7 2008-2012
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Warren County 6,10 57.4 (51.2, 64.3) 63 2008-2012 stable stable trend -5.3 (-17.3, 8.4)
Washington County 6,10 59.7 (49.9, 71.0) 27 2008-2012 stable stable trend 3.8 (-12.4, 23.0)
Wayne County 6,10 52.5 (45.2, 60.7) 38 2008-2012 stable stable trend -2.0 (-13.5, 11.1)
Williams County 6,10 50.3 (38.5, 64.9) 13 2008-2012
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Wood County 6,10 38.0 (31.9, 45.0) 28 2008-2012 stable stable trend -6.2 (-26.5, 19.8)
Wyandot County 6,10 47.2 (32.7, 66.5) 7 2008-2012
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Notes:
Created by statecancerprofiles.cancer.gov on 08/29/2015 4:56 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.

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.

Suppression is used to avoid misinterpretation when rates are unstable.

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