Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above |
Priority 2: rising and similar  Carter County Cleveland County Stephens County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above |
Priority 6: stable and similar Bryan County Caddo County Canadian County Cherokee County Comanche County Creek County Garfield County Grady County Kay County Le Flore County Lincoln County McCurtain County Muskogee County Oklahoma County Okmulgee County Osage County Ottawa County Payne County Pittsburg County Pontotoc County Pottawatomie County Seminole County Sequoyah County Tulsa County Washington County |
Priority 7: stable and below Delaware County Rogers County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar |
Priority 9: falling and below |
| Notes: Created by statecancerprofiles.cancer.gov on 04/26/2024 1:09 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Adair County, Alfalfa County, Atoka County, Beaver County, Blaine County, Choctaw County, Cimarron County, Coal County, Cotton County, Craig County, Dewey County, Ellis County, Grant County, Greer County, Harmon County, Harper County, Hughes County, Jackson County, Jefferson County, Johnston County, Kingfisher County, Kiowa County, Latimer County, Love County, Major County, McIntosh County, Murray County, Noble County, Nowata County, Okfuskee County, Pushmataha County, Roger Mills County, Texas County, Tillman County, Washita County, Woods County Trend for the following could not be reliably determined due to small number of deaths per year: Beckham County, Custer County, Garvin County, Haskell County, Logan County, Marshall County, Mayes County, McClain County, Pawnee County, Wagoner County, Woodward 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 does not include Puerto Rico. |
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