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Incidence Rates Table

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Incidence Rate Report for Oklahoma by County

All Races (includes Hispanic), Female, Lung & Bronchus, All Ages
Sorted by Count
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)
sort sort by trenddescending
Oklahoma 6,10 60.2 (58.8, 61.7) 1,364 2008-2012 stable stable trend -3.0 (-7.7, 2.0)
US (SEER+NPCR) 1,10 54.1 (53.9, 54.2) 99,801 § 2008-2012 falling falling trend -2.0 (-2.6, -1.5)
Oklahoma County 6,10 59.8 (56.4, 63.3) 242 2008-2012 stable stable trend -0.5 (-5.8, 5.1)
Tulsa County 6,10 56.9 (53.3, 60.6) 198 2008-2012 stable stable trend -7.6 (-18.6, 4.9)
Cleveland County 6,10 59.2 (53.2, 65.7) 73 2008-2012 falling falling trend -10.2 (-17.9, -1.9)
Comanche County 6,10 62.7 (53.9, 72.5) 37 2008-2012 stable stable trend 6.6 (-18.0, 38.5)
Canadian County 6,10 59.7 (51.2, 69.3) 36 2008-2012 stable stable trend -5.8 (-17.3, 7.3)
Muskogee County 6,10 74.7 (63.9, 86.9) 35 2008-2012 stable stable trend 2.9 (-14.7, 24.2)
Creek County 6,10 69.7 (59.3, 81.5) 33 2008-2012 stable stable trend 13.2 (-12.5, 46.5)
Rogers County 6,10 55.4 (46.6, 65.6) 28 2008-2012 stable stable trend -10.8 (-22.1, 2.2)
Washington County 6,10 72.9 (60.7, 86.9) 27 2008-2012 stable stable trend 4.5 (-13.9, 26.7)
Pottawatomie County 6,10 61.8 (51.7, 73.3) 27 2008-2012 stable stable trend 2.1 (-10.9, 17.1)
Pittsburg County 6,10 71.3 (58.8, 86.0) 23 2008-2012 stable stable trend -7.2 (-25.4, 15.3)
Wagoner County 6,10 53.6 (43.9, 64.9) 22 2008-2012 stable stable trend -1.7 (-19.3, 19.8)
Delaware County 6,10 67.5 (55.2, 82.2) 22 2008-2012 stable stable trend 2.3 (-11.7, 18.4)
Okmulgee County 6,10 79.7 (65.3, 96.7) 22 2008-2012 stable stable trend 1.5 (-28.3, 43.8)
Carter County 6,10 69.1 (56.3, 84.1) 21 2008-2012 falling falling trend -11.7 (-15.1, -8.1)
Kay County 6,10 63.1 (51.5, 76.8) 21 2008-2012 stable stable trend 2.4 (-16.5, 25.6)
Garfield County 6,10 51.4 (41.9, 62.7) 21 2008-2012 stable stable trend -2.7 (-14.8, 11.0)
Stephens County 6,10 62.7 (51.1, 76.5) 21 2008-2012 stable stable trend 1.0 (-11.6, 15.5)
Bryan County 6,10 71.8 (58.3, 87.7) 20 2008-2012 stable stable trend 14.1 (-13.7, 51.0)
Grady County 6,10 63.5 (51.5, 77.5) 20 2008-2012 falling falling trend -12.0 (-22.2, -0.4)
Le Flore County 6,10 57.5 (46.5, 70.6) 19 2008-2012 stable stable trend -11.8 (-39.6, 28.7)
Mayes County 6,10 61.3 (49.1, 76.0) 17 2008-2012 stable stable trend -5.4 (-21.7, 14.2)
Osage County 6,10 52.1 (41.5, 65.0) 17 2008-2012 stable stable trend -7.2 (-21.6, 9.8)
Cherokee County 6,10 61.5 (48.9, 76.4) 17 2008-2012 stable stable trend -4.4 (-22.1, 17.3)
McClain County 6,10 78.4 (62.0, 98.0) 16 2008-2012 stable stable trend -2.3 (-22.6, 23.2)
Payne County 6,10 44.3 (35.1, 55.3) 16 2008-2012 stable stable trend -4.1 (-19.7, 14.6)
Logan County 6,10 63.7 (50.0, 80.1) 15 2008-2012 stable stable trend -9.2 (-24.9, 9.9)
McCurtain County 6,10 71.5 (56.1, 90.1) 15 2008-2012 stable stable trend 1.0 (-22.4, 31.4)
Pontotoc County 6,10 59.7 (46.7, 75.6) 14 2008-2012 * *
Sequoyah County 6,10 53.6 (41.8, 68.0) 14 2008-2012 * *
Seminole County 6,10 80.0 (62.4, 101.6) 14 2008-2012 * *
Ottawa County 6,10 61.2 (47.4, 78.0) 14 2008-2012 * *
Caddo County 6,10 68.0 (52.1, 87.5) 13 2008-2012 * *
Garvin County 6,10 63.9 (48.5, 83.0) 12 2008-2012 * *
McIntosh County 6,10 72.3 (54.5, 95.2) 12 2008-2012 * *
Lincoln County 6,10 47.3 (35.4, 62.2) 11 2008-2012 * *
Marshall County 6,10 74.2 (54.1, 100.7) 9 2008-2012 * *
Craig County 6,10 80.9 (58.3, 110.6) 9 2008-2012 * *
Jackson County 6,10 56.6 (40.9, 76.6) 9 2008-2012 * *
Murray County 6,10 88.8 (64.0, 121.2) 9 2008-2012 * *
Custer County 6,10 50.7 (36.1, 69.5) 8 2008-2012 * *
Adair County 6,10 61.9 (43.8, 85.1) 8 2008-2012 * *
Hughes County 6,10 75.6 (52.9, 106.4) 8 2008-2012 * *
Choctaw County 6,10 63.6 (44.3, 89.5) 7 2008-2012 * *
Beckham County 6,10 54.9 (37.4, 77.9) 7 2008-2012 * *
Atoka County 6,10 68.0 (46.3, 97.5) 6 2008-2012 * *
Pawnee County 6,10 53.9 (36.4, 77.8) 6 2008-2012 * *
Kingfisher County 6,10 61.6 (41.1, 89.4) 6 2008-2012 * *
Pushmataha County 6,10 60.4 (40.1, 89.5) 6 2008-2012 * *
Haskell County 6,10 63.9 (41.6, 94.8) 6 2008-2012 * *
Woodward County 6,10 46.7 (30.9, 68.3) 6 2008-2012 * *
Nowata County 6,10 66.1 (42.9, 99.2) 5 2008-2012 * *
Washita County 6,10 62.5 (40.4, 93.6) 5 2008-2012 * *
Jefferson County 6,10 89.8 (53.4, 143.7) 4 2008-2012 * *
Kiowa County 6,10 55.8 (34.1, 88.8) 4 2008-2012 * *
Noble County 6,10 47.1 (28.2, 75.2) 4 2008-2012 * *
Okfuskee County 6,10 46.8 (28.1, 74.9) 4 2008-2012 * *
Blaine County 6,10 50.4 (29.6, 82.2) 4 2008-2012 * *
Johnston County 6,10 45.5 (26.4, 74.4) 3 2008-2012 * *
Latimer County 6,10 42.1 (23.9, 70.3) 3 2008-2012 * *
Tillman County 6,10 56.4 (31.8, 94.7) 3 2008-2012 * *
Alfalfa County 6,10
*
3 or fewer
2008-2012 * *
Beaver County 6,10
*
3 or fewer
2008-2012 * *
Cimarron County 6,10
*
3 or fewer
2008-2012 * *
Coal County 6,10
*
3 or fewer
2008-2012 * *
Cotton County 6,10
*
3 or fewer
2008-2012 * *
Dewey County 6,10
*
3 or fewer
2008-2012 * *
Ellis County 6,10
*
3 or fewer
2008-2012 * *
Grant County 6,10
*
3 or fewer
2008-2012 * *
Greer County 6,10
*
3 or fewer
2008-2012 * *
Harmon County 6,10
*
3 or fewer
2008-2012 * *
Harper County 6,10
*
3 or fewer
2008-2012 * *
Love County 6,10
*
3 or fewer
2008-2012 * *
Major County 6,10
*
3 or fewer
2008-2012 * *
Roger Mills County 6,10
*
3 or fewer
2008-2012 * *
Texas County 6,10
*
3 or fewer
2008-2012 * *
Woods County 6,10
*
3 or fewer
2008-2012 * *
Notes:
Created by statecancerprofiles.cancer.gov on 08/01/2015 12:12 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 1969-2013 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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