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Incidence Rates Table

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Incidence Rate Report for Oklahoma by County

All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages
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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)
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Oklahoma 6,10 450.8 (447.9, 453.7) 18,555 2008-2012 falling falling trend -1.9 (-2.7, -1.2)
US (SEER+NPCR) 1,10 453.8 (453.5, 454.1) 1,526,274 § 2008-2012 falling falling trend -2.1 (-2.9, -1.2)
Pushmataha County 6,10 354.7 (313.8, 399.9) 59 2008-2012 falling falling trend -14.2 (-24.7, -2.2)
Beaver County 6,10 360.4 (297.1, 433.7) 24 2008-2012 stable stable trend 6.3 (-14.5, 32.0)
Le Flore County 6,10 362.3 (340.7, 384.9) 219 2008-2012 falling falling trend -15.6 (-22.6, -7.9)
Roger Mills County 6,10 362.3 (289.9, 448.9) 18 2008-2012 stable stable trend -1.0 (-22.3, 26.2)
Coal County 6,10 372.0 (311.7, 441.3) 29 2008-2012 stable stable trend -1.8 (-22.4, 24.1)
Latimer County 6,10 374.7 (330.0, 424.1) 54 2008-2012 stable stable trend -12.5 (-24.4, 1.1)
Sequoyah County 6,10 375.8 (351.5, 401.3) 187 2008-2012 falling falling trend -12.8 (-21.9, -2.7)
Cotton County 6,10 376.6 (317.4, 444.4) 30 2008-2012 stable stable trend 0.2 (-24.6, 33.3)
Woodward County 6,10 378.2 (342.9, 416.2) 86 2008-2012 stable stable trend -3.7 (-16.2, 10.7)
Texas County 6,10 391.6 (352.0, 434.3) 73 2008-2012 stable stable trend 1.3 (-20.7, 29.4)
Nowata County 6,10 391.8 (345.7, 442.7) 55 2008-2012 stable stable trend -3.2 (-20.2, 17.5)
Lincoln County 6,10 393.5 (366.3, 422.4) 162 2008-2012 stable stable trend -1.6 (-6.8, 3.8)
Tillman County 6,10 398.1 (344.6, 458.0) 41 2008-2012 stable stable trend 1.3 (-15.3, 21.1)
Osage County 6,10 405.2 (382.1, 429.5) 242 2008-2012 stable stable trend -4.5 (-10.9, 2.5)
Delaware County 6,10 408.4 (384.3, 433.7) 241 2008-2012 stable stable trend -2.4 (-15.4, 12.6)
Ottawa County 6,10 413.3 (385.1, 443.1) 166 2008-2012 stable stable trend -6.4 (-16.9, 5.4)
Beckham County 6,10 415.1 (378.9, 453.9) 98 2008-2012 stable stable trend -1.1 (-16.6, 17.1)
Johnston County 6,10 415.2 (367.6, 467.6) 57 2008-2012 falling falling trend -7.5 (-14.0, -0.5)
Ellis County 6,10 415.5 (342.1, 501.6) 24 2008-2012 stable stable trend -11.8 (-35.3, 20.2)
Grady County 6,10 416.7 (393.2, 441.3) 244 2008-2012 stable stable trend -4.8 (-11.7, 2.5)
Adair County 6,10 416.8 (380.4, 455.8) 100 2008-2012 stable stable trend -4.5 (-20.1, 14.2)
Pittsburg County 6,10 418.2 (394.7, 442.8) 248 2008-2012 stable stable trend -5.7 (-11.3, 0.2)
Harmon County 6,10 419.5 (325.8, 532.7) 15 2008-2012 stable stable trend -3.7 (-19.6, 15.4)
Wagoner County 6,10 420.3 (399.7, 441.7) 336 2008-2012 stable stable trend 1.1 (-7.8, 10.9)
Caddo County 6,10 429.4 (398.4, 462.3) 145 2008-2012 stable stable trend 3.1 (-6.0, 13.0)
Comanche County 6,10 430.1 (412.7, 448.0) 473 2008-2012 stable stable trend -1.5 (-7.4, 4.8)
Pawnee County 6,10 430.4 (391.2, 472.8) 92 2008-2012 stable stable trend 0.8 (-10.1, 13.1)
Mayes County 6,10 434.6 (408.8, 461.7) 221 2008-2012 stable stable trend -2.0 (-12.1, 9.4)
Custer County 6,10 436.7 (402.4, 473.1) 124 2008-2012 stable stable trend 2.9 (-5.3, 11.9)
Cherokee County 6,10 438.1 (412.2, 465.2) 222 2008-2012 stable stable trend -5.6 (-14.2, 3.8)
Logan County 6,10 438.5 (411.4, 466.9) 204 2008-2012 stable stable trend -3.3 (-7.1, 0.6)
Bryan County 6,10 440.5 (414.4, 467.9) 221 2008-2012 stable stable trend -0.3 (-12.8, 14.0)
Stephens County 6,10 441.8 (417.5, 467.3) 257 2008-2012 stable stable trend -0.3 (-2.9, 2.5)
Atoka County 6,10 442.0 (397.8, 489.9) 76 2008-2012 stable stable trend 0.2 (-7.7, 8.7)
Washita County 6,10 442.3 (394.5, 494.6) 65 2008-2012 stable stable trend -7.0 (-15.7, 2.5)
Greer County 6,10 442.7 (378.8, 515.1) 35 2008-2012 stable stable trend -11.0 (-27.2, 8.8)
Choctaw County 6,10 445.2 (403.9, 489.9) 91 2008-2012 stable stable trend -6.1 (-11.9, 0.2)
Rogers County 6,10 445.5 (426.6, 465.0) 432 2008-2012 stable stable trend -0.1 (-3.1, 3.0)
Grant County 6,10 445.9 (374.4, 528.6) 30 2008-2012 stable stable trend -1.0 (-15.1, 15.4)
Alfalfa County 6,10 447.6 (382.2, 522.2) 36 2008-2012 stable stable trend -1.2 (-18.5, 19.8)
Jackson County 6,10 448.8 (413.7, 486.1) 124 2008-2012 stable stable trend -0.2 (-2.0, 1.6)
Garfield County 6,10 449.4 (427.3, 472.3) 322 2008-2012 stable stable trend -0.5 (-6.3, 5.7)
Payne County 6,10 449.8 (426.7, 473.7) 295 2008-2012 stable stable trend -3.4 (-13.2, 7.6)
Dewey County 6,10 451.5 (381.1, 532.5) 31 2008-2012 stable stable trend 3.5 (-16.5, 28.2)
Haskell County 6,10 452.5 (406.2, 503.1) 74 2008-2012 stable stable trend -8.9 (-17.1, 0.2)
Woods County 6,10 452.6 (395.1, 516.5) 48 2008-2012 stable stable trend -5.4 (-11.3, 0.8)
Oklahoma County 6,10 454.5 (447.5, 461.6) 3,322 2008-2012 stable stable trend -0.3 (-2.4, 1.8)
McCurtain County 6,10 454.6 (425.1, 485.7) 183 2008-2012 stable stable trend -5.2 (-21.3, 14.2)
McIntosh County 6,10 456.0 (421.6, 492.9) 145 2008-2012 stable stable trend -7.9 (-16.3, 1.4)
Love County 6,10 456.5 (402.6, 516.0) 55 2008-2012 stable stable trend -5.1 (-14.9, 5.9)
Cimarron County 6,10 456.9 (357.7, 577.7) 17 2008-2012 stable stable trend -4.2 (-21.9, 17.6)
Cleveland County 6,10 458.4 (445.9, 471.0) 1,083 2008-2012 falling falling trend -3.6 (-6.9, -0.3)
Marshall County 6,10 460.2 (418.7, 504.9) 99 2008-2012 stable stable trend 6.6 (-7.0, 22.1)
Pottawatomie County 6,10 460.2 (438.9, 482.3) 361 2008-2012 falling falling trend -4.7 (-7.9, -1.3)
Kay County 6,10 460.6 (435.6, 486.6) 269 2008-2012 stable stable trend -0.7 (-2.9, 1.5)
Washington County 6,10 461.0 (437.9, 485.2) 312 2008-2012 stable stable trend -1.1 (-4.7, 2.7)
Okfuskee County 6,10 463.9 (416.2, 515.9) 71 2008-2012 stable stable trend -3.2 (-9.0, 2.9)
Kingfisher County 6,10 465.5 (420.8, 513.8) 81 2008-2012 stable stable trend 0.2 (-7.7, 8.7)
Noble County 6,10 465.5 (416.8, 518.7) 69 2008-2012 stable stable trend -4.8 (-17.7, 10.3)
Harper County 6,10 466.5 (381.0, 566.5) 22 2008-2012 stable stable trend 11.4 (-3.7, 28.8)
Murray County 6,10 467.1 (422.3, 515.7) 84 2008-2012 stable stable trend -4.9 (-12.4, 3.2)
Jefferson County 6,10 470.4 (407.1, 541.6) 42 2008-2012 stable stable trend -3.3 (-21.9, 19.7)
Craig County 6,10 471.1 (428.1, 517.5) 91 2008-2012 stable stable trend 3.5 (-7.2, 15.5)
Carter County 6,10 472.0 (446.6, 498.5) 266 2008-2012 stable stable trend -0.7 (-5.5, 4.3)
Blaine County 6,10 472.6 (420.9, 529.3) 62 2008-2012 stable stable trend 4.4 (-10.5, 21.7)
Tulsa County 6,10 474.0 (466.3, 481.9) 2,938 2008-2012 falling falling trend -2.1 (-3.2, -0.9)
Pontotoc County 6,10 475.3 (446.1, 506.0) 203 2008-2012 stable stable trend -0.5 (-8.0, 7.6)
Major County 6,10 478.7 (420.4, 543.6) 51 2008-2012 stable stable trend 5.1 (-18.4, 35.4)
Muskogee County 6,10 483.4 (462.1, 505.4) 400 2008-2012 stable stable trend -1.6 (-7.8, 4.9)
Seminole County 6,10 484.1 (449.7, 520.6) 152 2008-2012 stable stable trend -2.9 (-8.6, 3.2)
Kiowa County 6,10 491.5 (436.9, 551.6) 62 2008-2012 stable stable trend 0.2 (-16.3, 19.8)
Okmulgee County 6,10 493.2 (465.0, 522.8) 238 2008-2012 stable stable trend 1.1 (-3.9, 6.3)
Creek County 6,10 495.5 (474.1, 517.6) 420 2008-2012 stable stable trend 3.4 (-2.8, 10.0)
Garvin County 6,10 496.9 (463.8, 532.0) 173 2008-2012 stable stable trend -4.5 (-15.1, 7.3)
Canadian County 6,10 499.8 (481.2, 518.9) 570 2008-2012 stable stable trend 2.0 (-10.4, 16.1)
Hughes County 6,10 508.2 (462.1, 557.9) 92 2008-2012 stable stable trend -2.3 (-11.2, 7.3)
McClain County 6,10 516.3 (483.6, 550.6) 196 2008-2012 stable stable trend 2.3 (-4.8, 9.9)
Notes:
Created by statecancerprofiles.cancer.gov on 07/31/2015 5:20 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.

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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