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Death Rates Table

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Death Rate Report for Oklahoma by County

Breast, 2013-2017

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 20.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Oklahoma No 22.4 (21.5, 23.3) N/A 538 falling falling trend -1.2 (-1.4, -0.9)
United States Yes 20.3 (20.2, 20.4) N/A 41,416 falling falling trend -1.4 (-1.6, -1.3)
Okfuskee County No 38.7 (21.8, 65.2) 1 (1, 38) 3
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Sequoyah County No 30.1 (21.6, 41.2) 2 (1, 31) 9 stable stable trend -0.6 (-2.6, 1.5)
Le Flore County No 28.8 (20.9, 39.0) 3 (1, 32) 9 stable stable trend -0.2 (-1.8, 1.4)
Pottawatomie County No 26.3 (20.1, 34.0) 4 (1, 33) 12 stable stable trend -1.4 (-3.0, 0.3)
Washington County No 26.2 (19.3, 35.0) 5 (1, 35) 10 stable stable trend -0.2 (-1.4, 1.1)
Beckham County No 26.0 (15.3, 41.8) 6 (1, 39) 4
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McCurtain County No 25.3 (16.4, 37.6) 7 (1, 39) 5 stable stable trend 1.4 (-0.9, 3.7)
Oklahoma County No 25.2 (23.1, 27.5) 8 (3, 21) 110 falling falling trend -0.7 (-1.2, -0.2)
Creek County No 24.3 (18.0, 32.1) 9 (1, 36) 11 stable stable trend -0.2 (-1.5, 1.0)
Pontotoc County No 24.0 (16.1, 34.8) 10 (1, 39) 6 stable stable trend -0.9 (-3.3, 1.5)
Payne County No 23.9 (17.2, 32.4) 11 (1, 38) 9 stable stable trend -1.2 (-2.7, 0.3)
McClain County No 23.6 (15.6, 34.7) 12 (1, 39) 6 stable stable trend -1.6 (-3.7, 0.6)
Okmulgee County No 23.2 (15.5, 33.7) 13 (1, 39) 6 falling falling trend -1.9 (-3.4, -0.4)
Rogers County No 23.1 (17.6, 29.9) 14 (2, 37) 13 stable stable trend -1.5 (-3.2, 0.2)
Tulsa County No 23.0 (20.8, 25.3) 15 (6, 28) 87 falling falling trend -1.6 (-2.2, -1.0)
Comanche County No 22.3 (17.3, 28.3) 16 (3, 37) 14 falling falling trend -1.5 (-2.9, -0.1)
Pittsburg County No 22.0 (15.3, 31.0) 17 (2, 39) 7 falling falling trend -2.5 (-3.9, -1.1)
Osage County No 21.7 (14.6, 31.2) 18 (2, 39) 7 stable stable trend -0.1 (-1.9, 1.7)
Muskogee County No 21.3 (15.5, 28.5) 19 (2, 39) 10 falling falling trend -1.8 (-3.4, -0.3)
Garvin County No 21.3 (12.7, 33.8) 20 (1, 39) 4 stable stable trend -1.8 (-4.1, 0.6)
Jackson County No 21.2 (12.2, 34.6) 21 (1, 39) 3 stable stable trend 0.3 (-1.7, 2.3)
Garfield County No 21.2 (15.4, 28.7) 22 (3, 39) 9 stable stable trend -1.1 (-2.8, 0.7)
Logan County No 20.8 (13.8, 30.4) 23 (2, 39) 6 stable stable trend -1.3 (-3.3, 0.8)
Seminole County No 20.8 (12.4, 33.3) 24 (1, 39) 4
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Lincoln County Yes 20.5 (12.1, 32.4) 25 (1, 39) 4 stable stable trend -1.3 (-3.3, 0.7)
Bryan County Yes 20.4 (13.7, 29.4) 26 (2, 39) 6 stable stable trend -1.3 (-2.9, 0.4)
Carter County Yes 20.3 (14.2, 28.5) 27 (3, 39) 7 falling falling trend -2.3 (-3.6, -1.0)
Custer County Yes 20.2 (11.6, 33.0) 28 (1, 39) 3 stable stable trend -1.0 (-3.5, 1.5)
Stephens County Yes 20.2 (13.8, 28.9) 29 (3, 39) 7 falling falling trend -2.2 (-3.7, -0.8)
Caddo County Yes 19.9 (11.2, 32.9) 30 (1, 39) 3 stable stable trend -0.5 (-2.6, 1.6)
Grady County Yes 19.8 (13.4, 28.2) 31 (3, 39) 7 stable stable trend -0.1 (-2.0, 1.7)
Cherokee County Yes 19.5 (12.8, 28.7) 32 (3, 39) 6 stable stable trend -1.0 (-2.9, 1.0)
Kay County Yes 19.3 (12.9, 28.2) 33 (3, 39) 6
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Ottawa County Yes 19.0 (11.5, 30.0) 34 (2, 39) 4 stable stable trend -1.9 (-3.8, 0.0)
Cleveland County Yes 19.0 (16.0, 22.5) 35 (14, 38) 29 falling falling trend -1.5 (-2.7, -0.3)
Canadian County Yes 18.9 (14.6, 24.1) 36 (8, 39) 14 falling falling trend -2.4 (-4.1, -0.7)
Wagoner County Yes 17.9 (12.9, 24.4) 37 (8, 39) 9 stable stable trend -1.4 (-3.3, 0.5)
Delaware County Yes 17.2 (11.5, 25.5) 38 (7, 39) 6 falling falling trend -2.4 (-4.4, -0.3)
Mayes County Yes 14.7 (9.0, 23.1) 39 (12, 39) 4 stable stable trend -1.5 (-3.9, 0.8)
Adair County ***
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3 or fewer
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Alfalfa County ***
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3 or fewer
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Atoka County ***
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3 or fewer
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Beaver County ***
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3 or fewer
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Blaine County ***
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3 or fewer
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Choctaw County ***
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3 or fewer
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Cimarron County ***
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3 or fewer
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Coal County ***
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3 or fewer
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Cotton County ***
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*
3 or fewer
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*
Craig County ***
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3 or fewer
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Dewey County ***
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3 or fewer
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Ellis County ***
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3 or fewer
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Grant County ***
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3 or fewer
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Greer County ***
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*
3 or fewer
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Harmon County ***
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3 or fewer
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Harper County ***
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3 or fewer
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Haskell County ***
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3 or fewer
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Hughes County ***
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3 or fewer
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Jefferson County ***
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3 or fewer
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Johnston County ***
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3 or fewer
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Kingfisher County ***
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3 or fewer
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Kiowa County ***
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3 or fewer
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Latimer County ***
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3 or fewer
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Love County ***
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3 or fewer
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Major County ***
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*
3 or fewer
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*
Marshall County ***
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*
3 or fewer
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*
McIntosh County ***
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*
3 or fewer
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*
Murray County ***
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3 or fewer
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*
Noble County ***
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3 or fewer
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*
Nowata County ***
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*
3 or fewer
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*
Pawnee County ***
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*
3 or fewer
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*
Pushmataha County ***
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*
3 or fewer
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*
Roger Mills County ***
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3 or fewer
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Texas County ***
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3 or fewer
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*
Tillman County ***
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*
3 or fewer
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*
Washita County ***
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*
3 or fewer
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*
Woods County ***
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*
3 or fewer
*
*
Woodward County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/12/2020 11:44 am.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2017 US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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).


Please note that the data comes 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 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.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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