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Interpretation of Death Rates Data

Death Rate Report by State

Uterus (Corpus & Uterus, NOS), 2019-2023

All Races (includes Hispanic), Female, All Ages

Sorted by CI*Rank

Explanation of Column Headers

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


District of Columbia


Maryland


Vermont


Delaware


Illinois


New York


Michigan


New Jersey


Pennsylvania


Wisconsin


Ohio


Indiana


Maine


Hawaii


Nebraska


California


North Carolina


Mississippi


Virginia


Oregon


Iowa


Georgia


Missouri


South Carolina


Massachusetts


Washington


Texas


New Hampshire


Minnesota


Rhode Island


Oklahoma


Connecticut


Kansas


Florida


Utah


West Virginia


Wyoming


Tennessee


New Mexico


Kentucky


Louisiana


North Dakota


Montana


Arizona


Nevada


Idaho


Arkansas


Alabama


Colorado


South Dakota


Alaska


Puerto Rico





Notes:
Created by statecancerprofiles.cancer.gov on 03/23/2026 2:37 am.

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

† 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+).

Population counts for denominators are based on Census populations as modified by NCI.

The 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).

Data for United States does not include Puerto Rico.

CI*Rank data for Puerto Rico is not available.