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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 Name
County
sort sort alphabetically by namedescending
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
Alabama 6,10 73.4 (72.4, 74.5) 4,037 falling falling trend -2.8 (-3.3, -2.3)
US (SEER+NPCR) 1,10 63.7 (63.6, 63.8) 213,812 § falling falling trend -2.7 (-3.1, -2.3)
Autauga County 6,10 78.3 (68.1, 89.7) 43 stable stable trend 3.2 (-7.9, 15.5)
Baldwin County 6,10 65.9 (61.4, 70.7) 162 stable stable trend -1.3 (-14.2, 13.4)
Barbour County 6,10 80.3 (66.9, 95.7) 26 stable stable trend -4.7 (-17.8, 10.5)
Bibb County 6,10 96.8 (80.3, 115.8) 25 stable stable trend -4.4 (-26.8, 24.8)
Blount County 6,10 76.9 (67.9, 86.9) 55 stable stable trend -7.4 (-22.7, 11.1)
Bullock County 6,10 62.3 (44.4, 85.3) 8
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*
Butler County 6,10 58.8 (46.7, 73.3) 17 rising rising trend 6.2 (0.2, 12.5)
Calhoun County 6,10 83.5 (76.8, 90.6) 119 stable stable trend -2.3 (-14.6, 11.7)
Chambers County 6,10 80.1 (68.7, 93.1) 36 falling falling trend -6.2 (-9.9, -2.3)
Cherokee County 6,10 83.0 (70.3, 97.8) 32 stable stable trend 7.2 (-10.6, 28.4)
Chilton County 6,10 81.9 (71.0, 94.0) 42 stable stable trend -14.0 (-30.7, 6.7)
Choctaw County 6,10 47.8 (35.1, 64.3) 10
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*
Clarke County 6,10 69.5 (57.2, 83.7) 23 stable stable trend 2.1 (-7.3, 12.5)
Clay County 6,10 85.1 (67.2, 106.8) 16 stable stable trend -0.7 (-28.6, 38.2)
Cleburne County 6,10 76.5 (59.4, 97.3) 14
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*
Coffee County 6,10 77.3 (67.6, 88.1) 46 stable stable trend -4.8 (-16.9, 9.1)
Colbert County 6,10 75.3 (66.6, 85.0) 55 stable stable trend -0.9 (-15.9, 16.9)
Conecuh County 6,10 76.3 (59.4, 97.1) 15 stable stable trend -15.4 (-45.2, 30.4)
Coosa County 6,10 85.2 (65.9, 109.2) 14
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*
Covington County 6,10 77.3 (66.9, 89.0) 41 stable stable trend 1.7 (-14.7, 21.4)
Crenshaw County 6,10 55.0 (40.5, 73.4) 10
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*
Cullman County 6,10 68.4 (61.4, 76.1) 70 stable stable trend -3.4 (-21.7, 19.3)
Dale County 6,10 81.8 (71.5, 93.2) 47 stable stable trend -3.3 (-9.6, 3.4)
Dallas County 6,10 76.5 (65.9, 88.3) 39 stable stable trend -3.6 (-27.6, 28.4)
DeKalb County 6,10 64.2 (56.6, 72.5) 54 stable stable trend -2.8 (-11.6, 6.9)
Elmore County 6,10 81.9 (73.2, 91.3) 68 stable stable trend -4.3 (-14.6, 7.2)
Escambia County 6,10 85.8 (74.3, 98.7) 40 stable stable trend -1.3 (-18.3, 19.2)
Etowah County 6,10 82.1 (75.3, 89.4) 110 stable stable trend -3.2 (-11.5, 6.0)
Fayette County 6,10 79.7 (64.3, 98.0) 19 stable stable trend 3.6 (-24.7, 42.6)
Franklin County 6,10 79.5 (67.3, 93.5) 30 stable stable trend -2.4 (-14.7, 11.7)
Geneva County 6,10 92.8 (79.5, 108.0) 35 stable stable trend -1.6 (-14.8, 13.6)
Greene County 6,10 79.1 (57.5, 106.9) 9
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*
Hale County 6,10 72.7 (56.3, 92.6) 14
*
*
Henry County 6,10 67.9 (53.9, 84.8) 17 stable stable trend -9.0 (-29.0, 16.6)
Houston County 6,10 72.4 (65.7, 79.6) 87 stable stable trend -3.5 (-7.3, 0.5)
Jackson County 6,10 82.6 (73.2, 92.9) 59 stable stable trend -3.7 (-12.1, 5.5)
Jefferson County 6,10 66.8 (64.1, 69.5) 487 falling falling trend -2.8 (-5.0, -0.5)
Lamar County 6,10 79.9 (63.6, 99.8) 17 stable stable trend -0.6 (-20.6, 24.4)
Lauderdale County 6,10 71.7 (65.2, 78.8) 89 stable stable trend -6.2 (-12.9, 1.0)
Lawrence County 6,10 100.2 (86.7, 115.3) 41 stable stable trend -3.3 (-13.3, 7.8)
Lee County 6,10 56.7 (50.5, 63.4) 65 stable stable trend 2.2 (-5.4, 10.5)
Limestone County 6,10 73.1 (65.3, 81.6) 67 stable stable trend 1.6 (-8.3, 12.6)
Lowndes County 6,10 62.1 (44.9, 84.3) 9
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*
Macon County 6,10 57.7 (45.2, 73.0) 15 stable stable trend 9.7 (-26.2, 63.1)
Madison County 6,10 65.9 (62.1, 69.8) 232 stable stable trend -2.3 (-7.7, 3.4)
Marengo County 6,10 57.0 (45.2, 71.3) 16 stable stable trend 9.8 (-10.7, 34.9)
Marion County 6,10 72.0 (61.0, 84.5) 32 stable stable trend -3.9 (-12.2, 5.3)
Marshall County 6,10 85.3 (77.7, 93.5) 95 stable stable trend -3.8 (-8.7, 1.4)
Mobile County 6,10 77.4 (73.7, 81.2) 349 falling falling trend -4.0 (-7.5, -0.3)
Monroe County 6,10 62.7 (50.5, 77.3) 19 stable stable trend -0.7 (-24.3, 30.3)
Montgomery County 6,10 65.7 (61.1, 70.6) 153 falling falling trend -6.8 (-11.6, -1.7)
Morgan County 6,10 81.7 (75.1, 88.7) 116 stable stable trend 0.5 (-8.6, 10.4)
Perry County 6,10 83.3 (62.7, 109.1) 11
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*
Pickens County 6,10 66.7 (53.7, 82.2) 18 stable stable trend -3.5 (-28.6, 30.5)
Pike County 6,10 70.1 (58.0, 84.1) 24 stable stable trend -17.8 (-36.8, 6.7)
Randolph County 6,10 77.4 (63.8, 93.2) 24 stable stable trend 4.0 (-16.4, 29.2)
Russell County 6,10 81.9 (71.7, 93.2) 48 stable stable trend -0.2 (-11.3, 12.3)
Shelby County 6,10 62.4 (57.3, 68.0) 114 stable stable trend -4.9 (-12.0, 2.9)
St. Clair County 6,10 77.7 (69.7, 86.4) 72 stable stable trend -2.2 (-6.6, 2.4)
Sumter County 6,10 63.6 (47.5, 83.8) 11
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Talladega County 6,10 78.1 (70.4, 86.5) 77 stable stable trend -5.2 (-17.9, 9.4)
Tallapoosa County 6,10 73.5 (63.7, 84.6) 42 stable stable trend 0.3 (-14.1, 17.0)
Tuscaloosa County 6,10 73.4 (67.8, 79.3) 133 stable stable trend -5.1 (-11.0, 1.2)
Walker County 6,10 98.8 (89.7, 108.7) 89 stable stable trend 2.3 (-5.3, 10.5)
Washington County 6,10 80.8 (64.3, 100.6) 17 stable stable trend 4.5 (-7.8, 18.5)
Wilcox County 6,10 74.4 (55.6, 97.9) 11
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*
Winston County 6,10 97.4 (82.8, 114.0) 33 stable stable trend -5.2 (-20.1, 12.6)
Notes:
Created by statecancerprofiles.cancer.gov on 05/03/2016 6:36 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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