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Incidence Rates Table

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Incidence Rate Report for Oklahoma by County

Lung & Bronchus, 2009-2013

All Races (includes Hispanic), Female, 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 rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Oklahoma 6,10 58.5 (57.1, 60.0) 1,346 stable stable trend -0.8 (-3.1, 1.5)
US (SEER+NPCR) 1,10 53.4 (53.2, 53.5) 100,643 falling falling trend -1.8 (-2.5, -1.1)
Murray County 6,10 96.1 (70.4, 129.5) 9 stable stable trend 7.2 (-19.1, 41.9)
Okmulgee County 6,10 86.6 (71.6, 104.2) 24 stable stable trend -2.8 (-23.3, 23.1)
Muskogee County 6,10 82.0 (70.7, 94.8) 38 stable stable trend 5.3 (-10.9, 24.5)
Seminole County 6,10 79.8 (62.4, 101.2) 14 stable stable trend -6.8 (-17.7, 5.6)
Atoka County 6,10 78.7 (55.1, 110.0) 7 stable stable trend -4.5 (-39.2, 49.9)
Pawnee County 6,10 76.8 (55.4, 104.6) 9 stable stable trend 9.6 (-33.0, 79.5)
Jefferson County 6,10 75.0 (41.2, 127.0) 3
*
*
Hughes County 6,10 74.6 (52.2, 104.9) 8 stable stable trend -2.3 (-29.6, 35.7)
McClain County 6,10 73.9 (58.2, 92.8) 16 stable stable trend -5.0 (-26.4, 22.7)
Bryan County 6,10 72.8 (59.3, 88.6) 21 stable stable trend 1.3 (-31.5, 49.8)
McCurtain County 6,10 71.3 (56.0, 89.8) 15 stable stable trend -0.2 (-24.9, 32.6)
Marshall County 6,10 70.8 (51.4, 96.4) 9 stable stable trend -13.4 (-36.1, 17.4)
Creek County 6,10 69.2 (58.9, 80.9) 33 stable stable trend 2.3 (-29.5, 48.3)
Coal County 6,10 69.0 (39.4, 116.2) 3
*
*
Delaware County 6,10 68.6 (56.1, 83.4) 22 stable stable trend -1.9 (-14.9, 13.1)
Washington County 6,10 67.8 (56.5, 81.1) 26 stable stable trend -4.0 (-28.7, 29.1)
Caddo County 6,10 67.3 (51.6, 86.6) 13 stable stable trend -3.1 (-30.4, 34.9)
Craig County 6,10 66.5 (46.3, 93.7) 7 stable stable trend -0.8 (-37.1, 56.5)
Pittsburg County 6,10 65.3 (53.4, 79.4) 21 stable stable trend -9.8 (-28.2, 13.4)
Logan County 6,10 65.1 (51.5, 81.3) 16 stable stable trend 5.9 (-16.5, 34.4)
Stephens County 6,10 64.8 (52.7, 79.0) 21 stable stable trend 3.6 (-7.5, 16.0)
McIntosh County 6,10 64.4 (48.0, 85.7) 11 stable stable trend -11.0 (-35.6, 22.9)
Mayes County 6,10 64.0 (51.5, 79.0) 18 stable stable trend 1.0 (-19.2, 26.1)
Pottawatomie County 6,10 63.8 (53.7, 75.4) 29 stable stable trend -1.5 (-12.7, 11.2)
Garvin County 6,10 63.2 (48.4, 81.7) 13 stable stable trend -2.5 (-24.6, 26.0)
Adair County 6,10 63.2 (45.1, 86.4) 8 stable stable trend -11.1 (-42.2, 36.8)
Carter County 6,10 62.7 (50.8, 76.8) 20 stable stable trend -7.9 (-15.7, 0.6)
Kingfisher County 6,10 62.6 (42.0, 90.4) 6 stable stable trend -21.8 (-55.7, 38.1)
Pontotoc County 6,10 62.6 (49.2, 78.7) 15 stable stable trend 2.6 (-8.8, 15.5)
Comanche County 6,10 60.7 (52.1, 70.3) 36 stable stable trend 3.1 (-26.1, 43.8)
Pushmataha County 6,10 59.8 (39.7, 88.8) 6 stable stable trend -12.5 (-44.1, 36.9)
Ottawa County 6,10 59.6 (46.0, 76.4) 14 stable stable trend -10.4 (-23.7, 5.3)
Nowata County 6,10 59.4 (37.3, 91.6) 5 stable stable trend -27.1 (-65.6, 54.6)
Kay County 6,10 59.3 (48.1, 72.7) 20 stable stable trend -4.5 (-25.9, 23.0)
Oklahoma County 6,10 58.6 (55.3, 62.1) 241 stable stable trend 0.5 (-3.5, 4.5)
Canadian County 6,10 58.2 (50.0, 67.4) 37 stable stable trend 4.1 (-7.2, 16.7)
Cherokee County 6,10 57.3 (45.3, 71.7) 16 stable stable trend -0.5 (-17.6, 20.2)
Grady County 6,10 56.6 (45.4, 70.0) 18 stable stable trend -4.6 (-11.9, 3.3)
Major County 6,10 56.4 (31.2, 96.0) 3
*
*
Choctaw County 6,10 55.6 (37.8, 79.9) 6 stable stable trend 9.1 (-38.7, 93.9)
Beckham County 6,10 55.6 (38.2, 78.2) 7 stable stable trend -1.3 (-10.5, 8.9)
Tulsa County 6,10 55.1 (51.6, 58.7) 193 stable stable trend 1.8 (-8.5, 13.2)
Sequoyah County 6,10 54.9 (43.0, 69.3) 15 stable stable trend 1.7 (-17.9, 26.0)
Latimer County 6,10 54.1 (33.3, 84.7) 4 stable stable trend 3.6 (-36.3, 68.5)
Cleveland County 6,10 53.3 (47.7, 59.4) 68 falling falling trend -12.6 (-21.2, -3.1)
Kiowa County 6,10 53.2 (32.0, 85.5) 4 stable stable trend 16.0 (-54.7, 197.5)
Le Flore County 6,10 52.8 (42.2, 65.5) 17 stable stable trend 1.0 (-29.9, 45.6)
Blaine County 6,10 52.4 (30.8, 85.0) 4 stable stable trend 20.4 (-24.0, 90.6)
Garfield County 6,10 51.1 (41.6, 62.4) 21 stable stable trend 3.3 (-8.2, 16.2)
Rogers County 6,10 50.8 (42.5, 60.5) 27 stable stable trend 0.3 (-6.2, 7.3)
Haskell County 6,10 50.3 (30.7, 78.8) 4
*
*
Wagoner County 6,10 49.8 (40.6, 60.5) 22 stable stable trend -1.5 (-20.9, 22.6)
Custer County 6,10 48.8 (34.4, 67.6) 8 stable stable trend -3.3 (-20.2, 17.1)
Washita County 6,10 47.4 (28.6, 75.3) 4 stable stable trend -2.9 (-36.7, 49.1)
Jackson County 6,10 46.6 (32.6, 64.9) 7 stable stable trend -8.8 (-41.2, 41.7)
Payne County 6,10 45.6 (36.3, 56.7) 17 stable stable trend -1.0 (-18.3, 20.0)
Osage County 6,10 44.7 (35.0, 56.6) 15 stable stable trend -4.7 (-17.0, 9.4)
Noble County 6,10 44.7 (26.3, 72.3) 4 stable stable trend -11.7 (-54.2, 70.3)
Okfuskee County 6,10 41.8 (23.7, 69.6) 3
*
*
Lincoln County 6,10 41.5 (30.8, 55.2) 10 stable stable trend 5.2 (-26.8, 51.0)
Woodward County 6,10 39.3 (25.1, 59.2) 5 stable stable trend -16.8 (-52.1, 44.5)
Alfalfa County 6,10
*
3 or fewer
*
*
Beaver County 6,10
*
3 or fewer
*
*
Cimarron County 6,10
*
3 or fewer
*
*
Cotton County 6,10
*
3 or fewer
*
*
Dewey County 6,10
*
3 or fewer
*
*
Ellis County 6,10
*
3 or fewer
*
*
Grant County 6,10
*
3 or fewer
*
*
Greer County 6,10
*
3 or fewer
*
*
Harmon County 6,10
*
3 or fewer
*
*
Harper County 6,10
*
3 or fewer
*
*
Johnston County 6,10
*
3 or fewer
*
*
Love County 6,10
*
3 or fewer
*
*
Roger Mills County 6,10
*
3 or fewer
*
*
Texas County 6,10
*
3 or fewer
*
*
Tillman County 6,10
*
3 or fewer
*
*
Woods County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/05/2016 7:47 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 1969-2014 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records 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 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
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 1969-2014 US Population Data File is used with NPCR November 2015 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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