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Incidence Rates Table

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Incidence Rate Report for by County

Breast, 2008-2012

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 ratedescending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Oklahoma 6,10 119.2 (117.1, 121.3) 2,590 falling falling trend -1.7 (-2.4, -0.9)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Coal County 6,10 67.2 (38.2, 113.6) 3
*
*
Pushmataha County 6,10 69.0 (45.5, 101.8) 6
*
*
Latimer County 6,10 76.0 (48.7, 113.8) 5
*
*
Le Flore County 6,10 78.7 (65.1, 94.4) 25 stable stable trend -18.5 (-39.9, 10.6)
Alfalfa County 6,10 82.6 (46.5, 142.3) 3
*
*
Adair County 6,10 83.1 (62.1, 109.2) 11
*
*
Atoka County 6,10 84.5 (59.4, 117.5) 8
*
*
Choctaw County 6,10 89.0 (65.6, 119.0) 10
*
*
Johnston County 6,10 91.2 (62.5, 129.5) 7
*
*
Caddo County 6,10 91.4 (71.6, 115.0) 16 stable stable trend -7.1 (-17.8, 4.9)
Murray County 6,10 92.2 (66.5, 125.6) 9
*
*
McIntosh County 6,10 94.7 (74.0, 120.5) 16 stable stable trend -10.1 (-33.6, 21.8)
Lincoln County 6,10 94.8 (76.3, 116.6) 19 falling falling trend -24.4 (-35.3, -11.7)
Love County 6,10 94.9 (62.1, 139.5) 6
*
*
Nowata County 6,10 95.3 (64.7, 136.3) 7
*
*
Delaware County 6,10 95.3 (78.8, 114.5) 27 stable stable trend 7.4 (-12.4, 31.7)
Jackson County 6,10 96.0 (74.2, 122.2) 14
*
*
Greer County 6,10 96.4 (56.0, 157.7) 4
*
*
Sequoyah County 6,10 97.5 (80.3, 117.4) 24 stable stable trend -15.1 (-33.1, 7.8)
Grady County 6,10 97.6 (82.4, 115.0) 30 stable stable trend -1.6 (-21.6, 23.6)
Ottawa County 6,10 99.9 (81.0, 122.1) 21 falling falling trend -15.3 (-25.2, -4.0)
Bryan County 6,10 100.4 (83.5, 119.7) 27 stable stable trend 7.4 (-7.0, 24.1)
Pittsburg County 6,10 102.3 (86.3, 120.6) 31 stable stable trend -8.6 (-34.2, 27.1)
Mayes County 6,10 102.7 (85.3, 122.7) 26 stable stable trend 1.6 (-1.7, 4.9)
Pontotoc County 6,10 102.7 (84.8, 123.4) 24 stable stable trend 3.6 (-10.4, 19.7)
Cherokee County 6,10 103.3 (86.4, 122.7) 28 stable stable trend 1.2 (-16.5, 22.5)
Pawnee County 6,10 103.6 (78.2, 135.4) 12
*
*
Dewey County 6,10 104.6 (62.3, 169.8) 4
*
*
Grant County 6,10 106.4 (60.7, 177.1) 4
*
*
Beckham County 6,10 106.6 (81.7, 137.0) 13
*
*
Woodward County 6,10 107.1 (81.6, 138.3) 12
*
*
Osage County 6,10 107.7 (91.2, 126.6) 32 stable stable trend 4.8 (-26.1, 48.7)
Seminole County 6,10 108.4 (86.4, 134.6) 18 stable stable trend -6.8 (-26.3, 17.9)
Cotton County 6,10 110.0 (68.8, 169.0) 5
*
*
Carter County 6,10 110.6 (93.8, 129.5) 33 stable stable trend -2.6 (-21.8, 21.3)
Stephens County 6,10 111.1 (94.3, 130.2) 34 stable stable trend -1.0 (-23.8, 28.6)
Tillman County 6,10 111.3 (73.8, 162.5) 6
*
*
Custer County 6,10 112.2 (88.8, 139.9) 17 stable stable trend -3.5 (-18.2, 13.7)
McClain County 6,10 113.8 (93.4, 137.5) 23 stable stable trend 4.0 (-8.9, 18.7)
Wagoner County 6,10 113.9 (99.6, 129.7) 48 stable stable trend 1.2 (-17.5, 24.0)
Noble County 6,10 115.2 (82.4, 157.3) 9
*
*
Garvin County 6,10 116.1 (93.7, 142.3) 20 stable stable trend -14.9 (-33.6, 9.2)
Craig County 6,10 116.6 (88.3, 152.0) 12
*
*
Comanche County 6,10 116.7 (104.7, 129.7) 70 stable stable trend 0.7 (-5.6, 7.5)
Okmulgee County 6,10 116.8 (98.2, 138.0) 30 stable stable trend 4.0 (-7.0, 16.1)
Garfield County 6,10 117.4 (102.0, 134.6) 44 stable stable trend 1.7 (-11.0, 16.2)
Haskell County 6,10 117.7 (84.4, 160.1) 9
*
*
Washita County 6,10 118.9 (86.7, 160.0) 10
*
*
Logan County 6,10 119.4 (100.6, 140.9) 30 stable stable trend 2.3 (-6.6, 12.1)
Muskogee County 6,10 119.5 (105.3, 135.2) 53 stable stable trend -5.2 (-17.5, 9.0)
Cleveland County 6,10 120.5 (112.0, 129.5) 153 stable stable trend 1.6 (-9.1, 13.5)
Texas County 6,10 121.0 (91.0, 157.4) 11
*
*
Pottawatomie County 6,10 123.0 (108.1, 139.4) 52 stable stable trend -7.4 (-31.5, 25.3)
Rogers County 6,10 123.0 (109.5, 137.7) 62 stable stable trend 1.8 (-13.0, 19.1)
Canadian County 6,10 124.7 (112.5, 137.9) 78 stable stable trend 0.9 (-5.0, 7.2)
Payne County 6,10 125.7 (109.2, 144.0) 43 stable stable trend 7.2 (-2.8, 18.2)
Ellis County 6,10 125.7 (68.0, 214.0) 3
*
*
Oklahoma County 6,10 127.0 (122.0, 132.1) 503 stable stable trend -1.5 (-5.9, 3.1)
Kay County 6,10 128.2 (109.6, 149.2) 37 stable stable trend -2.2 (-30.3, 37.3)
Marshall County 6,10 128.7 (97.5, 167.2) 13
*
*
Creek County 6,10 131.2 (116.4, 147.5) 59 stable stable trend 5.3 (-9.1, 21.9)
McCurtain County 6,10 132.7 (110.8, 157.9) 27 falling falling trend -14.7 (-20.5, -8.5)
Washington County 6,10 135.5 (118.4, 154.5) 49 stable stable trend 2.7 (-14.8, 23.8)
Tulsa County 6,10 136.1 (130.5, 141.9) 459 stable stable trend -2.7 (-8.7, 3.7)
Woods County 6,10 138.6 (92.0, 200.6) 7
*
*
Okfuskee County 6,10 138.7 (102.3, 184.7) 10
*
*
Blaine County 6,10 141.2 (104.9, 187.6) 10
*
*
Kiowa County 6,10 144.3 (105.0, 194.8) 10
*
*
Kingfisher County 6,10 146.0 (112.3, 187.0) 13
*
*
Hughes County 6,10 151.5 (116.8, 194.5) 14
*
*
Major County 6,10 173.2 (124.9, 235.4) 9
*
*
Beaver County 6,10
*
3 or fewer
*
*
Cimarron County 6,10
*
3 or fewer
*
*
Harmon County 6,10
*
3 or fewer
*
*
Harper County 6,10
*
3 or fewer
*
*
Jefferson County 6,10
*
3 or fewer
*
*
Roger Mills County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/04/2016 9:36 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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