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Rate/Trend Comparison by Cancer Table

Data Options

Death Rate/Trend Comparison by Cancer, 2019-2023

Oklahoma Counties versus United States

All Cancer Sites

All Races, Male

  Above US Rate Similar to US Rate Below US Rate
Rising
Trend
Priority 1: rising and above

Love County
Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Beckham County
Blaine County
Bryan County
Caddo County
Carter County
Cherokee County
Coal County
Cotton County
Garvin County
Grant County
Haskell County
Hughes County
Jefferson County
Kiowa County
Le Flore County
Marshall County
Mayes County
McIntosh County
Muskogee County
Nowata County
Okfuskee County
Okmulgee County
Pawnee County
Pittsburg County
Pottawatomie County
Pushmataha County
Seminole County
Priority 6: stable and similar

Alfalfa County
Atoka County
Beaver County
Dewey County
Ellis County
Greer County
Jackson County
Johnston County
Kingfisher County
Latimer County
Major County
McClain County
Noble County
Texas County
Tillman County
Washita County
Woods County
Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Adair County
Choctaw County
Comanche County
Creek County
Custer County
Garfield County
Grady County
Kay County
Lincoln County
McCurtain County
Oklahoma County
Ottawa County
Payne County
Rogers County
Sequoyah County
Stephens County
Tulsa County
Washington County
Priority 8: falling and similar

Canadian County
Cleveland County
Craig County
Delaware County
Logan County
Murray County
Osage County
Pontotoc County
Wagoner County
Woodward County
Priority 9: falling and below

Notes:
Created by statecancerprofiles.cancer.gov on 03/11/2026 10:24 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Cimarron County, Harmon County

Trend for the following could not be reliably determined due to small number of deaths per year:
Harper County, Roger Mills County

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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