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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 Count
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 countascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Oklahoma 6,10 73.2 (72.0, 74.4) 3,049 stable stable trend -3.3 (-7.1, 0.6)
US (SEER+NPCR) 1,10 63.7 (63.6, 63.8) 213,812 § falling falling trend -2.7 (-3.1, -2.3)
Oklahoma County 6,10 70.7 (67.9, 73.5) 511 stable stable trend -1.9 (-4.6, 0.9)
Tulsa County 6,10 69.7 (66.7, 72.7) 429 stable stable trend -3.9 (-9.5, 2.1)
Cleveland County 6,10 72.3 (67.3, 77.5) 164 falling falling trend -8.0 (-9.7, -6.3)
Comanche County 6,10 76.0 (68.8, 83.8) 82 stable stable trend -0.9 (-16.6, 17.8)
Canadian County 6,10 71.9 (64.8, 79.6) 78 stable stable trend -1.4 (-14.4, 13.6)
Creek County 6,10 89.7 (80.9, 99.3) 78 stable stable trend 1.9 (-10.6, 16.1)
Muskogee County 6,10 90.2 (81.3, 99.8) 77 stable stable trend 1.7 (-12.4, 18.1)
Pottawatomie County 6,10 84.4 (75.6, 94.0) 68 stable stable trend 2.0 (-4.4, 9.0)
Rogers County 6,10 66.0 (58.9, 73.8) 64 stable stable trend -5.2 (-12.8, 3.1)
Wagoner County 6,10 72.0 (63.5, 81.3) 57 stable stable trend -1.3 (-18.9, 20.1)
Washington County 6,10 80.3 (71.0, 90.6) 56 stable stable trend 6.0 (-2.6, 15.4)
Pittsburg County 6,10 81.4 (71.6, 92.3) 50 falling falling trend -7.3 (-10.4, -4.0)
Okmulgee County 6,10 95.9 (84.0, 109.1) 48 stable stable trend -0.2 (-16.3, 18.9)
Bryan County 6,10 89.1 (77.9, 101.5) 47 stable stable trend 4.2 (-12.3, 23.9)
Carter County 6,10 82.1 (71.7, 93.5) 46 stable stable trend -8.7 (-23.4, 8.8)
Delaware County 6,10 71.6 (62.3, 81.9) 46 stable stable trend -4.2 (-15.8, 8.9)
Kay County 6,10 72.2 (63.0, 82.6) 44 stable stable trend 9.3 (-2.4, 22.4)
Le Flore County 6,10 70.4 (61.3, 80.6) 44 stable stable trend -18.3 (-38.7, 8.8)
Garfield County 6,10 59.5 (51.8, 68.1) 44 stable stable trend -0.3 (-10.2, 10.7)
Mayes County 6,10 83.4 (72.5, 95.5) 44 stable stable trend 0.0 (-10.7, 12.1)
Grady County 6,10 72.0 (62.6, 82.5) 43 stable stable trend -7.2 (-15.7, 2.2)
Stephens County 6,10 71.0 (61.8, 81.3) 43 stable stable trend -6.7 (-14.4, 1.6)
Payne County 6,10 64.6 (56.2, 74.0) 43 stable stable trend -6.3 (-19.6, 9.2)
Cherokee County 6,10 79.5 (68.8, 91.4) 41 stable stable trend -0.3 (-16.3, 18.8)
Osage County 6,10 63.8 (55.1, 73.5) 40 stable stable trend -11.1 (-22.4, 1.8)
McCurtain County 6,10 86.6 (74.2, 100.7) 36 stable stable trend -1.0 (-14.7, 14.8)
Sequoyah County 6,10 67.3 (57.5, 78.4) 35 stable stable trend -11.0 (-30.2, 13.3)
Ottawa County 6,10 80.1 (68.4, 93.4) 34 stable stable trend -6.6 (-18.0, 6.5)
McClain County 6,10 86.2 (73.2, 101.0) 33 stable stable trend -1.0 (-17.5, 18.7)
Garvin County 6,10 87.3 (74.0, 102.5) 31 stable stable trend -6.8 (-26.6, 18.4)
Lincoln County 6,10 70.3 (59.5, 82.6) 31 stable stable trend -3.8 (-20.4, 16.2)
Pontotoc County 6,10 69.9 (59.3, 81.9) 31 stable stable trend 1.5 (-15.8, 22.2)
Logan County 6,10 66.0 (55.7, 77.7) 30 stable stable trend -6.2 (-13.2, 1.3)
Caddo County 6,10 87.2 (73.7, 102.6) 30 stable stable trend 3.4 (-17.9, 30.3)
McIntosh County 6,10 87.5 (73.3, 104.1) 29 stable stable trend -12.1 (-22.6, 0.0)
Seminole County 6,10 87.7 (73.9, 103.5) 29 stable stable trend -0.6 (-7.9, 7.3)
Custer County 6,10 73.0 (59.7, 88.6) 21 stable stable trend -5.6 (-23.0, 15.6)
Craig County 6,10 93.5 (75.5, 114.9) 19 stable stable trend -2.4 (-23.6, 24.5)
Murray County 6,10 101.0 (81.6, 124.2) 19 stable stable trend -1.9 (-16.7, 15.4)
Choctaw County 6,10 87.0 (70.1, 107.3) 19 stable stable trend 1.0 (-10.8, 14.3)
Marshall County 6,10 75.4 (60.5, 93.4) 18 stable stable trend -4.9 (-23.8, 18.8)
Jackson County 6,10 62.5 (50.1, 77.1) 18 stable stable trend 1.9 (-19.0, 28.1)
Adair County 6,10 70.6 (56.2, 87.6) 17 stable stable trend -8.0 (-36.1, 32.5)
Hughes County 6,10 90.2 (71.8, 112.2) 17 stable stable trend 2.7 (-18.4, 29.3)
Haskell County 6,10 89.6 (70.1, 113.2) 15 falling falling trend -18.4 (-28.9, -6.5)
Pawnee County 6,10 65.4 (51.2, 82.6) 15 stable stable trend -9.8 (-32.9, 21.2)
Beckham County 6,10 60.9 (47.4, 77.1) 14
*
*
Kingfisher County 6,10 78.2 (60.7, 99.4) 14
*
*
Pushmataha County 6,10 76.3 (58.5, 98.4) 13
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*
Atoka County 6,10 73.0 (56.1, 93.8) 13
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*
Woodward County 6,10 48.8 (36.9, 63.4) 11
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*
Okfuskee County 6,10 68.8 (51.9, 90.0) 11
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*
Blaine County 6,10 73.8 (54.5, 98.2) 10
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*
Johnston County 6,10 67.9 (50.1, 90.6) 10
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*
Nowata County 6,10 66.3 (49.0, 88.5) 10
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*
Washita County 6,10 64.6 (47.4, 86.6) 10
*
*
Kiowa County 6,10 68.6 (50.2, 92.5) 9
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*
Jefferson County 6,10 94.4 (67.7, 129.3) 9
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*
Noble County 6,10 56.5 (40.8, 76.7) 9
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*
Texas County 6,10 47.4 (34.1, 64.1) 8
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*
Latimer County 6,10 53.2 (37.9, 73.2) 8
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*
Love County 6,10 57.2 (40.1, 79.9) 7
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*
Greer County 6,10 90.7 (63.1, 127.1) 7
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*
Alfalfa County 6,10 79.0 (54.7, 112.6) 7
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*
Coal County 6,10 80.2 (55.4, 113.7) 7
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*
Tillman County 6,10 59.4 (40.5, 85.0) 6
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*
Cotton County 6,10 68.3 (45.7, 99.7) 6
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*
Woods County 6,10 50.9 (33.4, 75.1) 6
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*
Major County 6,10 53.0 (34.2, 79.1) 5
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*
Grant County 6,10 67.5 (41.4, 105.9) 4
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*
Ellis County 6,10 68.2 (41.7, 108.1) 4
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*
Harper County 6,10 73.2 (43.9, 117.1) 4
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*
Dewey County 6,10 46.0 (26.7, 76.4) 3
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*
Beaver County 6,10
*
3 or fewer
*
*
Cimarron County 6,10
*
3 or fewer
*
*
Harmon County 6,10
*
3 or fewer
*
*
Roger Mills County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/05/2016 10:17 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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