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Death Rates Table

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Death Rate Report for Oklahoma by County

Breast, 2016-2020

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 15.3?
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 (21.6, 23.3) N/A 562 falling falling trend -1.1 (-1.3, -0.9)
United States No 19.6 (19.5, 19.7) N/A 42,101 falling falling trend -1.3 (-1.4, -1.1)
Garvin County No 33.2 (22.4, 47.9) 1 (1, 34) 6 stable stable trend -1.0 (-2.9, 0.9)
McClain County No 29.5 (20.8, 40.9) 2 (1, 36) 8 stable stable trend -1.0 (-2.8, 0.8)
Carter County No 28.4 (20.9, 38.0) 3 (1, 35) 10 stable stable trend -1.2 (-2.6, 0.1)
Creek County No 28.4 (21.9, 36.3) 4 (1, 31) 14 stable stable trend 0.4 (-0.7, 1.6)
McCurtain County No 28.0 (18.5, 40.7) 5 (1, 38) 6 stable stable trend 1.6 (-0.2, 3.4)
Le Flore County No 27.4 (19.7, 37.4) 6 (1, 36) 9 stable stable trend -0.5 (-1.8, 0.9)
Rogers County No 27.4 (21.5, 34.4) 7 (1, 32) 16 stable stable trend -1.0 (-2.4, 0.4)
Beckham County No 27.4 (16.5, 43.4) 8 (1, 39) 4
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Comanche County No 27.0 (21.5, 33.6) 9 (1, 31) 17 stable stable trend -1.2 (-2.3, 0.0)
Sequoyah County No 26.3 (18.4, 36.7) 10 (1, 38) 8 stable stable trend -0.6 (-2.3, 1.1)
Caddo County No 25.7 (16.7, 38.5) 11 (1, 39) 5 stable stable trend 0.0 (-1.8, 1.7)
Delaware County No 25.3 (17.5, 35.7) 12 (1, 38) 8 stable stable trend -1.6 (-3.4, 0.2)
Adair County No 25.0 (14.1, 41.4) 13 (1, 39) 3 falling falling trend -2.7 (-4.3, -1.2)
Washington County No 24.5 (17.4, 33.7) 14 (1, 38) 9 stable stable trend -0.4 (-1.7, 1.0)
Muskogee County No 24.5 (18.1, 32.5) 15 (1, 37) 11 falling falling trend -1.8 (-3.1, -0.5)
Oklahoma County No 24.2 (22.2, 26.3) 16 (6, 26) 111 falling falling trend -0.7 (-1.1, -0.3)
Stephens County No 23.9 (16.8, 33.2) 17 (1, 39) 8 stable stable trend -1.3 (-2.7, 0.0)
Pottawatomie County No 23.8 (18.0, 31.1) 18 (2, 37) 12 stable stable trend -1.3 (-2.6, 0.1)
Lincoln County No 22.9 (14.5, 34.6) 19 (1, 39) 5 falling falling trend -1.7 (-3.3, -0.1)
Payne County No 22.3 (15.9, 30.4) 20 (2, 39) 9 stable stable trend -1.3 (-2.6, 0.0)
Jackson County No 22.1 (12.6, 36.1) 21 (1, 39) 3 stable stable trend 0.4 (-1.3, 2.2)
Wagoner County No 21.9 (16.5, 28.7) 22 (3, 38) 11 stable stable trend -1.0 (-2.6, 0.7)
Osage County No 21.8 (15.0, 30.9) 23 (2, 39) 8 stable stable trend -0.2 (-1.7, 1.3)
Bryan County No 21.2 (14.4, 30.3) 24 (2, 39) 7 stable stable trend -1.1 (-2.7, 0.5)
Tulsa County No 21.1 (19.1, 23.2) 25 (14, 34) 85 falling falling trend -1.7 (-2.2, -1.1)
Cleveland County No 20.9 (17.8, 24.4) 26 (10, 37) 33 falling falling trend -1.2 (-2.1, -0.2)
Kay County No 20.9 (14.2, 30.0) 27 (2, 39) 7
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Pontotoc County No 20.4 (13.3, 30.3) 28 (2, 39) 5 stable stable trend -1.5 (-3.6, 0.6)
Canadian County No 20.3 (16.0, 25.4) 29 (8, 39) 16 falling falling trend -1.9 (-3.2, -0.5)
Logan County No 20.1 (13.3, 29.2) 30 (3, 39) 6 stable stable trend -1.0 (-2.7, 0.7)
Cherokee County No 19.5 (13.2, 28.2) 31 (4, 39) 6 stable stable trend -1.1 (-2.6, 0.5)
Seminole County No 19.4 (11.7, 31.3) 32 (2, 39) 4
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Mayes County No 19.2 (12.5, 28.6) 33 (3, 39) 5 stable stable trend -1.0 (-3.0, 1.0)
Garfield County No 19.1 (13.5, 26.4) 34 (6, 39) 8 stable stable trend -1.2 (-2.7, 0.3)
McIntosh County No 18.5 (11.1, 31.1) 35 (3, 39) 4
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Okmulgee County No 18.1 (11.6, 27.4) 36 (5, 39) 5 falling falling trend -2.0 (-3.2, -0.8)
Pittsburg County No 18.0 (11.8, 26.7) 37 (6, 39) 6 falling falling trend -2.5 (-3.7, -1.3)
Ottawa County No 17.4 (10.4, 27.8) 38 (4, 39) 4 falling falling trend -1.8 (-3.4, -0.2)
Grady County No 16.2 (10.6, 23.8) 39 (11, 39) 6 stable stable trend -0.7 (-2.3, 0.9)
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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Custer 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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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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Okfuskee 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
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Woodward County ***
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 9:55 pm.

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 2030 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 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 2030 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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