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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Oklahoma Counties versus United States

All Cancer Sites

All Races, Both Sexes

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


United States


Oklahoma


Texas County


Atoka County


Beckham County


Blaine County


Caddo County


Cherokee County


Choctaw County


Cotton County


Custer County


Garvin County


Grant County


Greer County


Hughes County


Jackson County


Kay County


Kiowa County


Love County


Marshall County


McIntosh County


Nowata County


Okfuskee County


Okmulgee County


Pawnee County


Pushmataha County


Seminole County


Washington County


Adair County


Carter County


Comanche County


Craig County


Creek County


Delaware County


Garfield County


Grady County


Haskell County


Johnston County


Le Flore County


Lincoln County


Mayes County


McClain County


McCurtain County


Murray County


Muskogee County


Oklahoma County


Ottawa County


Payne County


Pittsburg County


Pontotoc County


Pottawatomie County


Rogers County


Sequoyah County


Stephens County


Tulsa County


Alfalfa County


Cimarron County


Ellis County


Harmon County


Harper County


Jefferson County


Kingfisher County


Major County


Roger Mills County


Tillman County


Washita County


Woods County


Beaver County


Bryan County


Canadian County


Cleveland County


Coal County


Dewey County


Latimer County


Logan County


Noble County


Osage County


Wagoner County


Woodward County




Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 11:22 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 Version 4.8.0.0. 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 (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 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).


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 does not include Puerto Rico.