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Incidence Rates Table

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Incidence Rate Report for by County

Lung & Bronchus, 2008-2012

All Races (includes Hispanic), Both Sexes, 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
Indiana 6,10 75.2 (74.3, 76.2) 5,285 falling falling trend -2.9 (-4.5, -1.4)
US (SEER+NPCR) 1,10 63.7 (63.6, 63.8) 213,812 § falling falling trend -2.7 (-3.1, -2.3)
Hamilton County 6,10 47.1 (42.8, 51.5) 98 stable stable trend -3.9 (-16.4, 10.5)
Adams County 6,10 49.8 (40.1, 61.1) 19 stable stable trend 3.8 (-10.6, 20.5)
Wells County 6,10 54.7 (44.1, 67.1) 19 stable stable trend -9.3 (-31.4, 19.9)
Dubois County 6,10 57.4 (48.3, 67.8) 29 stable stable trend 4.6 (-2.9, 12.7)
Marshall County 6,10 60.7 (51.8, 70.7) 34 stable stable trend -2.2 (-11.8, 8.4)
Carroll County 6,10 61.6 (48.5, 77.4) 16 stable stable trend -0.0 (-25.9, 34.9)
Posey County 6,10 62.7 (50.6, 77.1) 19 stable stable trend 1.9 (-20.7, 30.9)
Pike County 6,10 62.8 (47.5, 82.1) 11
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Allen County 6,10 63.1 (59.4, 66.9) 227 falling falling trend -3.8 (-6.4, -1.1)
Franklin County 6,10 63.4 (50.8, 78.4) 18 stable stable trend -9.6 (-31.5, 19.2)
Huntington County 6,10 64.3 (54.0, 76.1) 28 stable stable trend 0.1 (-21.5, 27.6)
Monroe County 6,10 64.7 (58.2, 71.6) 76 stable stable trend 4.7 (-10.3, 22.2)
Warrick County 6,10 64.7 (56.2, 74.1) 44 stable stable trend 2.8 (-10.7, 18.2)
LaGrange County 6,10 65.7 (54.1, 79.0) 23 stable stable trend 4.9 (-14.6, 29.0)
Wabash County 6,10 66.0 (55.5, 78.1) 29 stable stable trend 0.9 (-17.7, 23.7)
Brown County 6,10 66.1 (51.0, 84.9) 14
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Noble County 6,10 66.5 (56.6, 77.6) 33 stable stable trend -4.8 (-16.6, 8.7)
Steuben County 6,10 67.0 (56.3, 79.3) 29 stable stable trend 4.3 (-19.6, 35.2)
Gibson County 6,10 68.1 (57.3, 80.5) 28 stable stable trend 3.7 (-11.8, 21.8)
Tippecanoe County 6,10 68.2 (62.1, 74.7) 95 falling falling trend -9.6 (-18.0, -0.3)
Boone County 6,10 68.3 (58.8, 78.8) 39 stable stable trend -8.8 (-30.2, 19.2)
Whitley County 6,10 68.7 (57.4, 81.6) 27 stable stable trend 3.1 (-21.5, 35.4)
Daviess County 6,10 68.7 (57.0, 82.2) 25 stable stable trend 0.4 (-17.3, 21.9)
Union County 6,10 69.5 (48.1, 98.2) 7
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Elkhart County 6,10 70.1 (65.0, 75.6) 141 stable stable trend -3.5 (-14.1, 8.4)
Kosciusko County 6,10 71.0 (63.2, 79.6) 62 stable stable trend -1.7 (-8.8, 6.1)
Jay County 6,10 71.5 (57.5, 88.1) 18 stable stable trend -6.7 (-34.9, 33.7)
Hendricks County 6,10 71.7 (65.3, 78.6) 97 stable stable trend -4.7 (-11.6, 2.7)
Newton County 6,10 71.9 (55.4, 92.2) 13
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Pulaski County 6,10 72.1 (55.6, 92.6) 13
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Clay County 6,10 72.2 (59.8, 86.5) 24 stable stable trend 1.4 (-23.8, 35.0)
Knox County 6,10 72.4 (61.9, 84.3) 35 stable stable trend 3.0 (-11.2, 19.4)
St. Joseph County 6,10 72.4 (68.0, 77.0) 213 stable stable trend -0.8 (-9.1, 8.2)
Tipton County 6,10 72.4 (56.9, 91.3) 15 stable stable trend 5.2 (-6.6, 18.6)
Decatur County 6,10 72.7 (59.6, 87.9) 22 falling falling trend -4.8 (-9.0, -0.4)
Warren County 6,10 72.9 (51.6, 100.8) 8
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Johnson County 6,10 73.3 (67.1, 80.0) 105 stable stable trend -6.2 (-15.4, 4.0)
Lake County 6,10 73.8 (70.6, 77.2) 405 stable stable trend -3.6 (-8.5, 1.6)
DeKalb County 6,10 74.0 (63.2, 86.2) 34 stable stable trend 3.0 (-1.3, 7.4)
Jefferson County 6,10 75.5 (63.7, 89.1) 29 stable stable trend -4.4 (-20.8, 15.4)
Bartholomew County 6,10 76.5 (68.4, 85.3) 67 stable stable trend -4.6 (-11.9, 3.2)
Howard County 6,10 76.8 (69.4, 84.8) 82 stable stable trend -4.5 (-13.2, 5.0)
Porter County 6,10 77.0 (71.2, 83.2) 135 falling falling trend -6.2 (-11.4, -0.6)
Martin County 6,10 78.0 (57.9, 103.3) 10
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Sullivan County 6,10 78.1 (63.6, 95.1) 21 stable stable trend 1.9 (-14.0, 20.7)
LaPorte County 6,10 78.3 (71.6, 85.5) 103 stable stable trend -0.0 (-10.8, 12.1)
Blackford County 6,10 78.4 (60.8, 100.0) 14
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Fountain County 6,10 78.8 (63.6, 96.9) 19 stable stable trend -9.2 (-36.5, 29.8)
Vanderburgh County 6,10 78.8 (73.5, 84.5) 166 stable stable trend -2.4 (-10.2, 6.0)
Spencer County 6,10 78.9 (64.4, 95.9) 21 stable stable trend -0.2 (-32.8, 48.3)
Grant County 6,10 79.7 (71.6, 88.5) 72 stable stable trend -5.0 (-13.2, 4.0)
Jackson County 6,10 79.9 (69.3, 91.9) 41 stable stable trend 1.5 (-13.0, 18.6)
Ripley County 6,10 80.1 (67.2, 95.0) 28 stable stable trend -3.8 (-18.5, 13.4)
Henry County 6,10 80.1 (70.5, 90.8) 51 stable stable trend 2.0 (-13.9, 20.9)
Montgomery County 6,10 80.2 (68.9, 92.8) 37 falling falling trend -14.3 (-24.8, -2.4)
Dearborn County 6,10 80.3 (70.1, 91.7) 46 stable stable trend 3.3 (-16.8, 28.3)
Shelby County 6,10 80.3 (69.7, 92.3) 41 stable stable trend -3.5 (-16.7, 11.8)
Rush County 6,10 80.4 (64.5, 99.3) 18 stable stable trend -0.8 (-18.1, 20.2)
Madison County 6,10 80.6 (74.4, 87.1) 130 stable stable trend 1.4 (-13.1, 18.2)
Marion County 6,10 81.6 (78.8, 84.4) 686 stable stable trend -3.0 (-7.5, 1.8)
Morgan County 6,10 81.7 (72.7, 91.6) 62 stable stable trend 1.2 (-10.6, 14.7)
White County 6,10 82.0 (68.8, 97.2) 28 stable stable trend -2.2 (-19.6, 19.0)
Clinton County 6,10 82.0 (69.4, 96.3) 31 stable stable trend -7.0 (-20.7, 9.1)
Miami County 6,10 82.0 (70.2, 95.4) 35 stable stable trend -0.7 (-9.4, 8.9)
Greene County 6,10 82.2 (70.5, 95.5) 36 stable stable trend 0.7 (-12.7, 16.2)
Vigo County 6,10 82.3 (75.0, 90.0) 97 falling falling trend -6.7 (-12.3, -0.6)
Hancock County 6,10 82.4 (73.3, 92.3) 63 stable stable trend 3.5 (-5.5, 13.3)
Benton County 6,10 82.8 (60.4, 111.3) 9
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Randolph County 6,10 83.3 (70.3, 98.4) 29 stable stable trend -5.5 (-17.6, 8.3)
Switzerland County 6,10 83.8 (61.9, 111.1) 10
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Cass County 6,10 84.0 (72.5, 96.8) 39 stable stable trend 0.3 (-12.6, 15.0)
Harrison County 6,10 84.4 (72.6, 97.5) 38 rising rising trend 8.7 (4.0, 13.5)
Delaware County 6,10 84.6 (77.7, 92.0) 113 stable stable trend -1.0 (-10.0, 9.0)
Floyd County 6,10 84.7 (75.9, 94.3) 70 stable stable trend -5.7 (-13.8, 3.1)
Lawrence County 6,10 85.2 (75.0, 96.6) 52 stable stable trend 2.4 (-9.2, 15.5)
Parke County 6,10 85.8 (69.3, 105.4) 19 falling falling trend -17.7 (-29.2, -4.4)
Starke County 6,10 87.5 (73.0, 104.3) 26 stable stable trend -6.6 (-20.8, 10.2)
Fulton County 6,10 87.6 (72.3, 105.3) 24 stable stable trend -6.3 (-15.3, 3.7)
Vermillion County 6,10 88.5 (71.6, 108.5) 19 stable stable trend -6.7 (-16.5, 4.4)
Wayne County 6,10 88.7 (80.1, 98.1) 79 stable stable trend -5.6 (-15.5, 5.4)
Crawford County 6,10 88.8 (67.0, 115.9) 12
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Clark County 6,10 90.6 (83.0, 98.7) 108 stable stable trend -2.4 (-9.8, 5.5)
Fayette County 6,10 92.0 (77.7, 108.5) 30 stable stable trend 1.8 (-16.7, 24.4)
Scott County 6,10 92.4 (76.8, 110.4) 26 stable stable trend -10.1 (-19.6, 0.5)
Jasper County 6,10 92.6 (79.3, 107.7) 35 stable stable trend -6.9 (-14.0, 0.7)
Owen County 6,10 93.3 (77.1, 112.0) 25 falling falling trend -15.1 (-25.6, -3.2)
Perry County 6,10 96.1 (79.0, 116.0) 23 stable stable trend -7.4 (-31.0, 24.4)
Putnam County 6,10 96.3 (83.5, 110.6) 41 falling falling trend -5.7 (-9.1, -2.2)
Orange County 6,10 97.8 (81.1, 117.1) 25 stable stable trend -8.7 (-21.4, 6.1)
Jennings County 6,10 97.8 (82.3, 115.3) 30 stable stable trend -3.1 (-21.0, 19.0)
Washington County 6,10 98.6 (83.7, 115.4) 32 stable stable trend -3.8 (-17.7, 12.3)
Ohio County 6,10 116.4 (85.0, 156.8) 9
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Notes:
Created by statecancerprofiles.cancer.gov on 06/30/2016 10:08 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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