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Death Rates Table

Data Options

Death Rate Report for Oklahoma by County

All Cancer Sites, 2015-2019

Amer. Indian/Alaskan Native (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
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 *** 193.3 (186.2, 200.7) N/A 610 stable stable trend -0.5 (-1.5, 0.5)
United States *** 101.2 (99.6, 102.8) N/A 3,457 falling falling trend -2.1 (-2.5, -1.8)
Mayes County *** 322.1 (261.1, 391.9) 1 (1, 15) 23 rising rising trend 3.5 (2.5, 4.6)
Hughes County *** 321.7 (229.0, 438.3) 2 (1, 30) 9 rising rising trend 2.2 (0.2, 4.1)
Pontotoc County *** 305.7 (240.5, 381.8) 3 (1, 21) 17 rising rising trend 2.4 (0.8, 4.1)
Okfuskee County *** 282.2 (186.9, 406.4) 4 (1, 41) 6 stable stable trend 0.3 (-1.6, 2.1)
Ottawa County *** 278.2 (217.9, 349.2) 5 (1, 28) 16 rising rising trend 1.8 (0.4, 3.2)
Nowata County *** 260.0 (166.7, 384.8) 6 (1, 45) 5
*
*
Murray County *** 258.9 (156.4, 398.9) 7 (1, 47) 4
*
*
Choctaw County *** 249.5 (171.8, 349.6) 8 (1, 43) 7
*
*
Cherokee County *** 247.7 (210.7, 288.9) 9 (2, 28) 38 stable stable trend 0.5 (-0.5, 1.5)
Pottawatomie County *** 240.5 (186.7, 303.5) 10 (1, 36) 17 stable stable trend 1.4 (0.0, 2.9)
Johnston County *** 240.0 (149.3, 364.2) 11 (1, 47) 4
*
*
Muskogee County *** 239.2 (197.0, 287.0) 12 (2, 32) 26 rising rising trend 2.6 (1.3, 4.0)
Caddo County *** 234.3 (183.4, 294.3) 13 (2, 38) 15 stable stable trend 0.8 (-0.5, 2.2)
Marshall County *** 233.0 (147.4, 349.9) 14 (1, 47) 5
*
*
Comanche County *** 223.4 (169.8, 287.0) 15 (2, 41) 13 stable stable trend 0.4 (-1.1, 2.0)
Washington County *** 221.0 (161.6, 293.3) 16 (2, 43) 10 rising rising trend 3.8 (1.9, 5.8)
Kay County *** 217.7 (149.3, 304.0) 17 (1, 45) 7
*
*
Adair County *** 217.2 (173.5, 268.0) 18 (4, 39) 19 stable stable trend 0.7 (-0.1, 1.5)
McCurtain County *** 216.5 (161.7, 283.0) 19 (2, 43) 11 stable stable trend 0.2 (-1.2, 1.7)
Seminole County *** 211.0 (153.7, 281.8) 20 (3, 45) 9 stable stable trend 0.4 (-1.4, 2.2)
Creek County *** 207.5 (161.2, 262.4) 21 (4, 42) 15 rising rising trend 3.1 (1.5, 4.7)
Grady County *** 203.1 (132.8, 294.4) 22 (2, 47) 6
*
*
Lincoln County *** 201.5 (125.0, 304.6) 23 (1, 47) 5
*
*
Okmulgee County *** 200.2 (154.6, 254.8) 24 (6, 44) 14 stable stable trend 0.6 (-0.9, 2.0)
Wagoner County *** 200.0 (153.0, 255.9) 25 (5, 44) 14 stable stable trend 1.3 (-0.8, 3.5)
Payne County *** 197.0 (121.6, 297.3) 26 (1, 47) 5
*
*
Tulsa County *** 192.1 (169.1, 217.1) 27 (14, 38) 62 stable stable trend -2.0 (-4.4, 0.5)
Delaware County *** 189.1 (148.3, 236.8) 28 (8, 45) 18 stable stable trend 0.4 (-1.2, 1.9)
Pawnee County *** 186.8 (115.0, 285.6) 29 (2, 47) 4
*
*
Haskell County *** 185.4 (115.0, 282.4) 30 (2, 47) 4
*
*
Garvin County *** 179.7 (107.3, 279.5) 31 (3, 47) 4
*
*
Carter County *** 177.5 (122.8, 247.0) 32 (6, 47) 8 stable stable trend 1.8 (-0.1, 3.7)
Stephens County *** 172.9 (104.3, 266.8) 33 (3, 47) 4
*
*
Osage County *** 170.7 (128.7, 221.5) 34 (11, 47) 12 stable stable trend 0.9 (-0.4, 2.3)
Rogers County *** 169.9 (132.7, 213.5) 35 (13, 46) 17 stable stable trend 1.6 (-0.1, 3.3)
McIntosh County *** 167.3 (114.7, 235.6) 36 (7, 47) 7
*
*
Craig County *** 162.6 (103.0, 242.7) 37 (7, 47) 5
*
*
Pushmataha County *** 162.4 (100.1, 250.4) 38 (6, 47) 4
*
*
Oklahoma County *** 160.7 (139.0, 184.6) 39 (23, 45) 44 rising rising trend 1.8 (0.8, 2.8)
Le Flore County *** 151.0 (110.9, 200.4) 40 (16, 47) 10 stable stable trend 1.6 (-0.3, 3.5)
McClain County *** 148.0 (87.5, 232.4) 41 (7, 47) 4
*
*
Bryan County *** 147.8 (108.1, 196.8) 42 (18, 47) 10
*
*
Canadian County *** 142.6 (96.5, 202.2) 43 (16, 47) 7 stable stable trend -0.2 (-2.5, 2.2)
Pittsburg County *** 142.0 (104.8, 187.6) 44 (21, 47) 10 stable stable trend 0.1 (-1.9, 2.2)
Latimer County *** 132.4 (75.3, 215.2) 45 (12, 47) 3
*
*
Sequoyah County *** 126.7 (97.1, 162.4) 46 (30, 47) 13 stable stable trend -0.4 (-1.8, 1.0)
Cleveland County *** 125.3 (96.2, 159.7) 47 (30, 47) 14
*
*
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
*
*
Cimarron County ***
*
*
3 or fewer
*
*
Coal County ***
*
*
3 or fewer
*
*
Cotton County ***
*
*
3 or fewer
*
*
Custer County ***
*
*
3 or fewer
*
*
Dewey County ***
*
*
3 or fewer
*
*
Ellis County ***
*
*
3 or fewer
*
*
Garfield County ***
*
*
3 or fewer
*
*
Grant County ***
*
*
3 or fewer
*
*
Greer County ***
*
*
3 or fewer
*
*
Harmon County ***
*
*
3 or fewer
*
*
Harper County ***
*
*
3 or fewer
*
*
Jackson County ***
*
*
3 or fewer
*
*
Jefferson County ***
*
*
3 or fewer
*
*
Kingfisher County ***
*
*
3 or fewer
*
*
Kiowa County ***
*
*
3 or fewer
*
*
Logan County ***
*
*
3 or fewer
*
*
Love County ***
*
*
3 or fewer
*
*
Major County ***
*
*
3 or fewer
*
*
Noble County ***
*
*
3 or fewer
*
*
Roger Mills County ***
*
*
3 or fewer
*
*
Texas County ***
*
*
3 or fewer
*
*
Tillman County ***
*
*
3 or fewer
*
*
Washita County ***
*
*
3 or fewer
*
*
Woods County ***
*
*
3 or fewer
*
*
Woodward County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/24/2021 6:22 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 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
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.

Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.
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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