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Death Rates Table

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Death Rate Report for Oklahoma by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages <50

Sorted by Name
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
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 Yes 18.5 (17.7, 19.3) N/A 431 falling falling trend -1.3 (-1.5, -1.1)
United States Yes 14.9 (14.8, 15.0) N/A 29,891 falling falling trend -1.7 (-1.9, -1.6)
Washington County Yes 24.4 (16.9, 33.9) 7 (1, 33) 7 stable stable trend -0.3 (-1.9, 1.2)
Wagoner County Yes 14.2 (9.9, 19.8) 34 (14, 35) 7 stable stable trend -0.9 (-2.2, 0.5)
Tulsa County Yes 16.3 (14.6, 18.2) 31 (19, 34) 65 falling falling trend -1.7 (-2.2, -1.2)
Stephens County Yes 22.7 (15.0, 33.0) 11 (1, 35) 5 stable stable trend -1.3 (-2.7, 0.1)
Sequoyah County Yes 24.6 (16.6, 35.2) 5 (1, 34) 6 stable stable trend -1.5 (-3.0, 0.0)
Seminole County Yes 25.0 (14.5, 39.8) 4 (1, 35) 3 stable stable trend -0.8 (-2.4, 0.9)
Rogers County Yes 13.2 (9.2, 18.2) 35 (18, 35) 7 falling falling trend -2.4 (-3.4, -1.4)
Pottawatomie County Yes 17.7 (12.6, 24.2) 28 (6, 35) 8 falling falling trend -1.3 (-2.3, -0.3)
Pontotoc County Yes 17.8 (10.8, 27.4) 27 (3, 35) 4 stable stable trend -0.9 (-2.7, 1.0)
Pittsburg County Yes 21.2 (13.8, 30.9) 16 (2, 35) 5 stable stable trend -0.8 (-2.0, 0.5)
Payne County Yes 23.4 (17.0, 31.4) 10 (1, 33) 9 stable stable trend -0.1 (-1.7, 1.5)
Ottawa County Yes 23.5 (14.3, 36.1) 9 (1, 35) 4 stable stable trend -0.3 (-2.3, 1.7)
Osage County Yes 24.3 (16.6, 34.3) 8 (1, 34) 6 stable stable trend -0.6 (-2.1, 1.0)
Okmulgee County Yes 21.9 (13.9, 32.8) 14 (1, 35) 5 falling falling trend -1.1 (-2.1, -0.1)
Oklahoma County Yes 17.9 (16.2, 19.7) 26 (15, 32) 85 falling falling trend -1.5 (-1.9, -1.1)
Muskogee County Yes 22.1 (16.0, 29.6) 13 (2, 33) 9 stable stable trend -1.2 (-2.5, 0.2)
McCurtain County Yes 32.9 (22.2, 46.9) 2 (1, 25) 6 stable stable trend 0.3 (-1.2, 1.8)
McClain County Yes 17.1 (10.6, 26.1) 30 (4, 35) 4 stable stable trend -0.1 (-1.6, 1.3)
Mayes County Yes 26.9 (18.4, 37.9) 3 (1, 32) 6
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Logan County Yes 15.1 (9.4, 23.1) 33 (7, 35) 4
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*
Lincoln County Yes 21.1 (13.0, 32.2) 17 (2, 35) 4 stable stable trend -0.4 (-2.1, 1.3)
Le Flore County Yes 19.1 (12.7, 27.6) 23 (3, 35) 6 stable stable trend -1.5 (-3.0, 0.0)
Kay County Yes 22.3 (14.5, 32.6) 12 (1, 35) 5 stable stable trend -1.4 (-2.9, 0.1)
Grady County Yes 17.5 (11.8, 25.0) 29 (5, 35) 6 stable stable trend -1.5 (-2.9, 0.0)
Garvin County Yes 35.4 (23.7, 50.8) 1 (1, 20) 6 stable stable trend 0.0 (-1.5, 1.5)
Garfield County Yes 19.7 (13.5, 27.5) 20 (3, 35) 7 stable stable trend -1.0 (-2.3, 0.4)
Delaware County Yes 19.4 (12.0, 29.7) 21 (2, 35) 4 falling falling trend -2.4 (-4.0, -0.8)
Creek County Yes 24.4 (18.2, 32.0) 6 (1, 30) 10 stable stable trend 0.2 (-0.9, 1.3)
Comanche County Yes 19.7 (15.3, 25.0) 19 (5, 34) 14 stable stable trend -0.7 (-1.9, 0.4)
Cleveland County Yes 18.0 (15.3, 21.1) 24 (11, 33) 30 stable stable trend 1.6 (-0.8, 4.1)
Cherokee County Yes 21.8 (14.5, 31.2) 15 (2, 35) 6 stable stable trend -1.1 (-2.9, 0.7)
Carter County Yes 19.2 (12.6, 27.9) 22 (3, 35) 5 stable stable trend -1.6 (-3.2, 0.2)
Canadian County Yes 16.0 (12.6, 20.1) 32 (13, 35) 15 stable stable trend -0.9 (-2.0, 0.2)
Caddo County Yes 20.3 (11.8, 32.3) 18 (1, 35) 3 stable stable trend -0.4 (-2.0, 1.2)
Bryan County Yes 18.0 (11.5, 26.6) 25 (3, 35) 5 falling falling trend -2.2 (-3.6, -0.7)
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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Beckham 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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Jackson 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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*
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 ***
*
*
3 or fewer
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*
Woodward County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 7:15 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 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.
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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