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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 Rate
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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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)
Brown County 6,10 94.8 (79.1, 112.9) 26 2008-2012 stable stable trend -6.0 (-28.1, 23.1)
Vinton County 6,10 88.9 (62.3, 123.7) 7 2008-2012 * *
Paulding County 6,10 84.9 (63.6, 111.5) 11 2008-2012 * *
Adams County 6,10 83.3 (65.7, 104.6) 16 2008-2012 stable stable trend 1.0 (-21.6, 30.2)
Scioto County 6,10 80.6 (70.0, 92.5) 43 2008-2012 stable stable trend -10.7 (-36.6, 25.7)
Pike County 6,10 79.3 (62.0, 100.2) 15 2008-2012 stable stable trend -1.2 (-11.1, 9.8)
Morgan County 6,10 78.2 (55.9, 107.6) 8 2008-2012 * *
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)
Noble County 6,10 75.6 (51.5, 108.1) 6 2008-2012 * *
Ashtabula County 6,10 73.9 (65.0, 83.9) 51 2008-2012 stable stable trend -9.1 (-20.9, 4.6)
Perry County 6,10 73.8 (58.3, 92.4) 16 2008-2012 stable stable trend 10.7 (-0.7, 23.4)
Lake County 6,10 71.5 (65.8, 77.6) 119 2008-2012 stable stable trend -2.8 (-14.5, 10.5)
Marion County 6,10 70.8 (59.6, 83.6) 29 2008-2012 stable stable trend -5.5 (-19.6, 11.0)
Athens County 6,10 70.6 (57.6, 85.8) 21 2008-2012 stable stable trend -8.4 (-27.0, 14.9)
Meigs County 6,10 69.2 (52.0, 90.8) 11 2008-2012 * *
Hocking County 6,10 69.1 (53.0, 88.8) 13 2008-2012 * *
Lawrence County 6,10 68.4 (57.5, 80.8) 29 2008-2012 stable stable trend -6.2 (-23.3, 14.8)
Preble County 6,10 68.3 (55.2, 83.9) 19 2008-2012 stable stable trend -2.1 (-16.2, 14.4)
Fayette County 6,10 68.0 (52.0, 87.7) 13 2008-2012 * *
Montgomery County 6,10 67.7 (64.0, 71.7) 249 2008-2012 stable stable trend 2.4 (-0.7, 5.5)
Coshocton County 6,10 67.3 (53.8, 83.6) 17 2008-2012 stable stable trend 2.7 (-14.5, 23.2)
Muskingum County 6,10 66.4 (57.3, 76.6) 39 2008-2012 stable stable trend 9.6 (-18.0, 46.4)
Jefferson County 6,10 66.3 (56.6, 77.4) 35 2008-2012 stable stable trend 4.4 (-8.4, 18.9)
Hamilton County 6,10 66.2 (63.0, 69.5) 331 2008-2012 stable stable trend 0.4 (-5.9, 7.1)
Guernsey County 6,10 65.8 (52.9, 81.3) 18 2008-2012 stable stable trend -2.8 (-28.9, 32.8)
Trumbull County 6,10 65.4 (59.7, 71.6) 103 2008-2012 stable stable trend -4.6 (-14.5, 6.4)
Licking County 6,10 65.3 (58.4, 72.9) 66 2008-2012 stable stable trend -6.1 (-23.8, 15.8)
Gallia County 6,10 63.9 (49.5, 81.6) 14 2008-2012 * *
Pickaway County 6,10 63.6 (51.8, 77.3) 21 2008-2012 stable stable trend 4.5 (-6.4, 16.7)
Portage County 6,10 63.3 (56.2, 71.0) 59 2008-2012 stable stable trend -4.9 (-19.1, 11.8)
Butler County 6,10 63.0 (58.2, 68.1) 128 2008-2012 stable stable trend 2.0 (-5.4, 10.0)
Ross County 6,10 62.6 (52.9, 73.7) 30 2008-2012 stable stable trend -4.3 (-22.5, 18.2)
Jackson County 6,10 62.0 (47.6, 79.8) 13 2008-2012 * *
Madison County 6,10 61.9 (48.7, 77.8) 15 2008-2012 stable stable trend 3.8 (-7.6, 16.6)
Clark County 6,10 61.1 (54.3, 68.6) 61 2008-2012 stable stable trend -2.6 (-11.7, 7.4)
Lorain County 6,10 61.0 (56.1, 66.2) 120 2008-2012 stable stable trend -3.1 (-8.4, 2.5)
Franklin County 6,10 60.3 (57.5, 63.3) 348 2008-2012 falling falling trend -4.6 (-7.5, -1.7)
Fairfield County 6,10 60.1 (52.9, 68.1) 51 2008-2012 stable stable trend -2.3 (-6.3, 1.9)
Highland County 6,10 60.0 (47.9, 74.5) 17 2008-2012 stable stable trend -3.7 (-8.3, 1.1)
Washington County 6,10 59.7 (49.9, 71.0) 27 2008-2012 stable stable trend 3.8 (-12.4, 23.0)
Cuyahoga County 6,10 59.6 (57.3, 61.9) 545 2008-2012 stable stable trend -2.5 (-7.3, 2.7)
Logan County 6,10 59.2 (47.5, 73.3) 18 2008-2012 stable stable trend -0.5 (-21.1, 25.6)
Belmont County 6,10 58.8 (49.7, 69.3) 31 2008-2012 stable stable trend -15.5 (-31.0, 3.4)
Columbiana County 6,10 58.4 (50.9, 66.9) 45 2008-2012 stable stable trend -1.8 (-17.0, 16.0)
Miami County 6,10 58.3 (50.4, 67.2) 40 2008-2012 stable stable trend -2.7 (-17.4, 14.6)
Delaware County 6,10 57.8 (50.5, 66.0) 46 2008-2012 stable stable trend -8.0 (-19.5, 5.2)
Warren County 6,10 57.4 (51.2, 64.3) 63 2008-2012 stable stable trend -5.3 (-17.3, 8.4)
Richland County 6,10 57.2 (50.2, 64.9) 51 2008-2012 stable stable trend -3.4 (-20.3, 17.3)
Defiance County 6,10 57.0 (44.2, 72.6) 14 2008-2012 * *
Summit County 6,10 56.2 (52.8, 59.8) 207 2008-2012 stable stable trend -3.1 (-9.0, 3.1)
Huron County 6,10 56.1 (45.7, 68.2) 21 2008-2012 stable stable trend 0.7 (-14.9, 19.3)
Mahoning County 6,10 55.9 (51.1, 61.1) 105 2008-2012 stable stable trend -4.2 (-14.1, 7.0)
Harrison County 6,10 55.8 (38.5, 79.6) 7 2008-2012 * *
Greene County 6,10 55.7 (49.2, 62.8) 55 2008-2012 stable stable trend -4.0 (-14.6, 8.0)
Allen County 6,10 55.3 (47.5, 64.0) 38 2008-2012 stable stable trend -5.5 (-16.5, 6.8)
Union County 6,10 55.2 (42.7, 70.2) 14 2008-2012 * *
Auglaize County 6,10 54.9 (43.8, 68.3) 17 2008-2012 stable stable trend 7.3 (-15.8, 36.7)
Hardin County 6,10 53.7 (40.0, 71.0) 10 2008-2012 * *
Stark County 6,10 53.5 (49.6, 57.7) 144 2008-2012 stable stable trend 0.4 (-9.2, 11.1)
Knox County 6,10 53.5 (43.3, 65.4) 20 2008-2012 stable stable trend -4.0 (-21.4, 17.2)
Lucas County 6,10 53.1 (49.2, 57.3) 143 2008-2012 falling falling trend -13.0 (-20.3, -5.0)
Medina County 6,10 52.9 (46.7, 59.8) 54 2008-2012 stable stable trend -1.9 (-12.6, 10.2)
Wayne County 6,10 52.5 (45.2, 60.7) 38 2008-2012 stable stable trend -2.0 (-13.5, 11.1)
Darke County 6,10 51.5 (41.4, 63.6) 19 2008-2012 stable stable trend 11.8 (-3.4, 29.3)
Seneca County 6,10 51.4 (41.4, 63.3) 19 2008-2012 stable stable trend 20.2 (-5.4, 52.7)
Geauga County 6,10 51.0 (43.3, 59.7) 33 2008-2012 stable stable trend -1.9 (-20.3, 20.9)
Williams County 6,10 50.3 (38.5, 64.9) 13 2008-2012 * *
Erie County 6,10 50.0 (41.9, 59.4) 28 2008-2012 stable stable trend -7.0 (-23.0, 12.5)
Shelby County 6,10 49.8 (38.8, 63.1) 14 2008-2012 * *
Champaign County 6,10 49.6 (37.9, 64.0) 12 2008-2012 * *
Crawford County 6,10 49.2 (39.1, 61.5) 17 2008-2012 stable stable trend 6.2 (-14.3, 31.6)
Morrow County 6,10 49.2 (37.0, 64.6) 11 2008-2012 * *
Ashland County 6,10 49.2 (39.3, 61.0) 18 2008-2012 stable stable trend 9.6 (-9.5, 32.7)
Henry County 6,10 48.6 (35.3, 65.7) 9 2008-2012 * *
Ottawa County 6,10 48.1 (37.9, 60.7) 16 2008-2012 stable stable trend 14.6 (-11.9, 49.2)
Wyandot County 6,10 47.2 (32.7, 66.5) 7 2008-2012 * *
Carroll County 6,10 46.6 (34.1, 62.9) 10 2008-2012 * *
Sandusky County 6,10 46.4 (37.5, 57.1) 19 2008-2012 stable stable trend -1.9 (-14.8, 12.9)
Van Wert County 6,10 45.5 (33.3, 61.3) 9 2008-2012 * *
Tuscarawas County 6,10 45.3 (38.2, 53.4) 30 2008-2012 stable stable trend -1.1 (-12.5, 11.7)
Hancock County 6,10 44.6 (36.3, 54.2) 21 2008-2012 stable stable trend 16.5 (-13.7, 57.2)
Fulton County 6,10 42.8 (32.3, 55.8) 12 2008-2012 * *
Monroe County 6,10 38.5 (23.9, 60.3) 4 2008-2012 * *
Wood County 6,10 38.0 (31.9, 45.0) 28 2008-2012 stable stable trend -6.2 (-26.5, 19.8)
Putnam County 6,10 37.2 (26.5, 51.1) 8 2008-2012 * *
Mercer County 6,10 31.7 (23.0, 43.0) 9 2008-2012 * *
Holmes County 6,10 25.5 (16.7, 37.1) 5 2008-2012 * *
Notes:
Created by statecancerprofiles.cancer.gov on 07/31/2015 5:21 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.

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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