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Interpretation of Death Rates Data

Death Rate Report for Oklahoma by County

Breast, 2015-2019

All Races (includes Hispanic), Female, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 0.0 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

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

Ottawa County

Pittsburg County

Okmulgee County

McIntosh County

Canadian County

Kay County

Seminole County

Payne County

Cherokee County

Caddo County

Garfield County

Cleveland County

Grady County

Wagoner County

Tulsa County

Osage County

Mayes County

Logan County

Lincoln County

Muskogee County

Jackson County

Delaware County

Comanche County

McClain County

Pontotoc County

Oklahoma County

Stephens County

Bryan County

Sequoyah County

Rogers County

Pottawatomie County

Washington County

Creek County

Carter County

Le Flore County

Beckham County

Garvin County

McCurtain County

Adair County Alfalfa County Atoka County Beaver County Blaine County Choctaw County Cimarron County Coal County Cotton County Craig County Custer County Dewey County Ellis County Grant County Greer County Harmon County Harper County Haskell County Hughes County Jefferson County Johnston County Kingfisher County Kiowa County Latimer County Love County Major County Marshall County Murray County Noble County Nowata County Okfuskee County Pawnee County Pushmataha County Roger Mills County Texas County Tillman County Washita County Woods County Woodward County

Created by on 09/29/2022 7:06 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Adair, Alfalfa, Atoka, Beaver, Blaine, Choctaw, Cimarron, Coal, Cotton, Craig, Custer, Dewey, Ellis, Grant, Greer, Harmon, Harper, Haskell, Hughes, Jefferson, Johnston, Kingfisher, Kiowa, Latimer, Love, Major, Marshall, Murray, Noble, Nowata, Okfuskee, Pawnee, Pushmataha, Roger Mills, Texas, Tillman, Washita, Woods, Woodward

† 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 1969-2018 US Population Data File is used with mortality data.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

* 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).

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.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.