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Death Rates Table

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Death Rate Report for Oklahoma by County

All Cancer Sites, 2011-2015

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
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 No 192.9 (185.3, 200.8) 538 stable stable trend -0.3 (-2.3, 1.7)
United States Yes 110.3 (108.4, 112.2) 3,090 falling falling trend -1.6 (-1.9, -1.3)
Carter County No 266.6 (194.5, 354.8) 10 rising rising trend 3.6 (1.4, 5.8)
Mayes County No 266.5 (214.0, 327.3) 20 rising rising trend 3.4 (2.0, 4.8)
Hughes County No 265.6 (179.9, 376.3) 6 rising rising trend 2.9 (0.3, 5.5)
Okmulgee County No 260.1 (200.4, 331.0) 15 stable stable trend 1.4 (-0.1, 2.9)
Kay County No 257.9 (182.0, 352.5) 8
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Seminole County No 252.1 (188.9, 328.9) 11 stable stable trend 1.2 (-1.1, 3.5)
Cherokee County No 249.8 (208.5, 296.1) 32 stable stable trend 0.6 (-0.8, 2.0)
Okfuskee County No 247.9 (154.3, 373.1) 5 stable stable trend -0.8 (-3.2, 1.7)
Delaware County No 247.8 (198.1, 305.2) 20 stable stable trend 1.4 (-0.4, 3.3)
Adair County No 246.3 (197.3, 302.9) 20 rising rising trend 1.2 (0.3, 2.2)
Choctaw County No 238.6 (155.4, 348.1) 6
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*
Pontotoc County No 234.6 (175.9, 305.3) 12 rising rising trend 2.7 (0.4, 5.0)
Pottawatomie County No 229.5 (174.1, 295.1) 14 stable stable trend 1.7 (0.0, 3.5)
Ottawa County No 221.1 (168.7, 284.0) 13 stable stable trend 1.5 (-0.4, 3.5)
Nowata County No 219.8 (131.5, 341.9) 4
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Rogers County No 218.0 (170.0, 273.7) 18 rising rising trend 3.0 (0.9, 5.1)
Payne County No 213.2 (125.2, 332.0) 4
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Atoka County No 212.1 (127.2, 330.3) 4
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Osage County No 211.5 (162.3, 270.2) 14 rising rising trend 1.6 (0.1, 3.2)
Comanche County No 209.6 (156.7, 273.2) 12 stable stable trend 0.7 (-1.0, 2.5)
Caddo County No 205.5 (156.6, 263.9) 13 stable stable trend 0.4 (-1.5, 2.3)
Lincoln County No 199.9 (121.2, 307.3) 4
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Pushmataha County No 198.0 (117.5, 310.2) 4
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Creek County No 196.3 (147.2, 255.3) 12 rising rising trend 3.4 (1.3, 5.6)
Washington County No 195.5 (143.2, 259.8) 10 rising rising trend 4.7 (2.3, 7.1)
Wagoner County No 191.7 (137.4, 258.2) 11 stable stable trend 1.4 (-1.6, 4.4)
Muskogee County No 188.2 (149.7, 232.8) 18 stable stable trend -3.4 (-10.4, 4.2)
Tulsa County No 187.1 (163.3, 213.0) 53 stable stable trend -2.5 (-7.5, 2.7)
McCurtain County No 180.1 (128.4, 244.5) 9 stable stable trend -0.0 (-2.0, 2.0)
Oklahoma County No 174.4 (149.0, 202.6) 38 rising rising trend 2.6 (1.5, 3.7)
Pittsburg County No 173.9 (130.6, 226.4) 11 stable stable trend 0.9 (-1.7, 3.5)
McIntosh County No 168.0 (114.0, 238.2) 7
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*
Le Flore County No 161.5 (118.1, 214.8) 10 rising rising trend 2.4 (0.1, 4.8)
Sequoyah County Yes 157.0 (120.7, 200.4) 14 stable stable trend 0.1 (-1.7, 1.9)
Canadian County Yes 154.6 (89.9, 242.7) 5 stable stable trend 0.3 (-3.3, 3.9)
Garvin County Yes 153.3 (86.2, 249.4) 3
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Craig County Yes 153.0 (96.5, 229.9) 5
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Bryan County Yes 147.3 (104.2, 201.5) 8
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Grady County Yes 147.1 (86.4, 231.2) 4
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Cleveland County Yes 138.7 (103.0, 181.7) 12
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Alfalfa County ***
*
3 or fewer
*
*
Beaver County ***
*
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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*
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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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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*
Garfield County ***
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3 or fewer
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*
Grant County ***
*
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 ***
*
3 or fewer
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*
Haskell 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 ***
*
3 or fewer
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*
Kingfisher County ***
*
3 or fewer
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*
Kiowa County ***
*
3 or fewer
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*
Latimer County ***
*
3 or fewer
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*
Logan 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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*
McClain County ***
*
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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*
Pawnee 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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*
Stephens 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 ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/27/2019 12:02 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.

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.

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