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Death Rates Table

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Death Rate Report for Oklahoma by County

Prostate, 2011-2015

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 21.8?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Oklahoma Yes 20.5 (19.6, 21.5) 360 falling falling trend -2.7 (-2.9, -2.5)
United States Yes 19.5 (19.4, 19.6) 28,017 falling falling trend -2.0 (-3.7, -0.3)
Mayes County No 27.1 (17.9, 39.4) 6
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*
Sequoyah County No 26.9 (17.7, 39.1) 6 falling falling trend -3.4 (-5.4, -1.3)
Seminole County No 26.6 (15.7, 42.4) 4
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*
Okmulgee County No 26.4 (17.3, 38.7) 5 stable stable trend -0.5 (-2.4, 1.4)
Carter County No 26.1 (17.5, 37.4) 6 stable stable trend -0.4 (-2.3, 1.5)
Grady County No 25.4 (16.5, 37.1) 5 falling falling trend -3.2 (-5.6, -0.7)
Cherokee County No 25.0 (16.6, 36.1) 6 falling falling trend -2.5 (-4.5, -0.5)
Comanche County No 24.0 (17.7, 31.6) 10 falling falling trend -2.8 (-4.3, -1.2)
Pottawatomie County No 23.4 (16.5, 32.2) 8 stable stable trend -1.7 (-3.3, 0.0)
Le Flore County No 23.3 (15.5, 33.5) 6 falling falling trend -2.8 (-4.8, -0.7)
McClain County No 22.4 (13.1, 35.5) 4
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Tulsa County No 22.2 (19.6, 25.0) 56 falling falling trend -2.2 (-3.0, -1.5)
Muskogee County No 22.0 (15.4, 30.4) 7 falling falling trend -2.9 (-4.6, -1.2)
Cleveland County Yes 21.5 (17.4, 26.1) 21 stable stable trend -1.7 (-3.5, 0.2)
Creek County Yes 21.3 (15.0, 29.3) 8 falling falling trend -2.9 (-4.8, -1.0)
McCurtain County Yes 21.2 (12.1, 34.4) 3 falling falling trend -4.9 (-7.5, -2.2)
Delaware County Yes 21.0 (13.9, 30.9) 6
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Pittsburg County Yes 21.0 (13.8, 30.8) 5 falling falling trend -3.1 (-4.9, -1.4)
Payne County Yes 20.9 (14.1, 29.6) 6 falling falling trend -2.0 (-3.7, -0.4)
Kay County Yes 20.6 (13.6, 30.1) 6 falling falling trend -2.1 (-3.9, -0.2)
Stephens County Yes 19.9 (13.0, 29.5) 5 falling falling trend -3.5 (-5.2, -1.7)
Wagoner County Yes 19.8 (13.5, 28.0) 7 falling falling trend -4.2 (-6.7, -1.7)
Ottawa County Yes 19.8 (11.5, 31.9) 3
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Oklahoma County Yes 19.6 (17.4, 22.0) 58 falling falling trend -2.6 (-3.3, -1.9)
Rogers County Yes 18.0 (12.8, 24.6) 8 falling falling trend -3.4 (-5.3, -1.6)
Washington County Yes 17.8 (11.9, 25.9) 6 falling falling trend -4.3 (-5.9, -2.6)
Lincoln County Yes 17.7 (10.0, 29.2) 3 falling falling trend -3.7 (-6.3, -0.9)
Bryan County Yes 17.2 (10.1, 27.3) 4 falling falling trend -3.4 (-5.8, -1.0)
Canadian County Yes 16.6 (11.4, 23.2) 7 falling falling trend -4.4 (-6.4, -2.3)
Logan County Yes 16.4 (9.5, 26.3) 4 falling falling trend -3.9 (-6.4, -1.3)
Garfield County Yes 15.1 (9.7, 22.5) 5 falling falling trend -2.4 (-4.5, -0.3)
Osage County Yes 14.8 (8.9, 23.2) 4 falling falling trend -4.6 (-6.8, -2.3)
Adair County ***
*
3 or fewer
*
*
Alfalfa County ***
*
3 or fewer
*
*
Atoka County ***
*
3 or fewer
*
*
Beaver County ***
*
3 or fewer
*
*
Beckham County ***
*
3 or fewer
*
*
Blaine County ***
*
3 or fewer
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*
Caddo County ***
*
3 or fewer
*
*
Choctaw County ***
*
3 or fewer
*
*
Cimarron County ***
*
3 or fewer
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*
Coal County ***
*
3 or fewer
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*
Cotton County ***
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3 or fewer
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*
Craig County ***
*
3 or fewer
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*
Custer County ***
*
3 or fewer
*
*
Dewey County ***
*
3 or fewer
*
*
Ellis County ***
*
3 or fewer
*
*
Garvin County ***
*
3 or fewer
*
*
Grant County ***
*
3 or fewer
*
*
Greer County ***
*
3 or fewer
*
*
Harmon County ***
*
3 or fewer
*
*
Harper County ***
*
3 or fewer
*
*
Haskell County ***
*
3 or fewer
*
*
Hughes County ***
*
3 or fewer
*
*
Jackson County ***
*
3 or fewer
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*
Jefferson County ***
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3 or fewer
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*
Johnston County ***
*
3 or fewer
*
*
Kingfisher County ***
*
3 or fewer
*
*
Kiowa County ***
*
3 or fewer
*
*
Latimer County ***
*
3 or fewer
*
*
Love County ***
*
3 or fewer
*
*
Major County ***
*
3 or fewer
*
*
Marshall County ***
*
3 or fewer
*
*
McIntosh County ***
*
3 or fewer
*
*
Murray County ***
*
3 or fewer
*
*
Noble County ***
*
3 or fewer
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*
Nowata County ***
*
3 or fewer
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*
Okfuskee County ***
*
3 or fewer
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*
Pawnee County ***
*
3 or fewer
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*
Pontotoc County ***
*
3 or fewer
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*
Pushmataha County ***
*
3 or fewer
*
*
Roger Mills County ***
*
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 ***
*
3 or fewer
*
*
Woods County ***
*
3 or fewer
*
*
Woodward County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/24/2019 4:36 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 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 calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

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 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.

Data for United States does not include Puerto Rico.

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