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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2016-2020

Oklahoma Counties versus United States

Thyroid

All Races, Both Sexes

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

Priority 2: rising and similar

Oklahoma County
Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Priority 6: stable and similar

Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Priority 8: falling and similar

Priority 9: falling and below

Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 9:14 am.

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).

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, Beckham County, Blaine County, Bryan County, Caddo County, Canadian County, Carter County, Cherokee County, Choctaw County, Cimarron County, Cleveland County, Coal County, Comanche County, Cotton County, Craig County, Creek County, Custer County, Delaware County, Dewey County, Ellis County, Garfield County, Garvin County, Grady County, Grant County, Greer County, Harmon County, Harper County, Haskell County, Hughes County, Jackson County, Jefferson County, Johnston County, Kay County, Kingfisher County, Kiowa County, Latimer County, Le Flore County, Lincoln County, Logan County, Love County, Major County, Marshall County, Mayes County, McClain County, McCurtain County, McIntosh County, Murray County, Muskogee County, Noble County, Nowata County, Okfuskee County, Okmulgee County, Osage County, Ottawa County, Pawnee County, Payne County, Pittsburg County, Pontotoc County, Pottawatomie County, Pushmataha County, Roger Mills County, Rogers County, Seminole County, Sequoyah County, Stephens County, Texas County, Tillman County, Tulsa County, Wagoner County, Washington County, Washita County, Woods 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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