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Interpretation of Death Rates Data

Death Rate Report by State

Esophagus, 2019-2023

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Count

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


California


Florida


Texas


Pennsylvania


New York


Ohio


Illinois


Michigan


North Carolina


Georgia


Indiana


Virginia


Massachusetts


Washington


Tennessee


Missouri


New Jersey


Wisconsin


Arizona


Minnesota


South Carolina


Maryland


Kentucky


Oregon


Alabama


Colorado


Oklahoma


Louisiana


Iowa


Connecticut


Arkansas


Nevada


Kansas


Mississippi


West Virginia


Maine


Nebraska


New Mexico


Puerto Rico


New Hampshire


Idaho


Utah


Montana


Rhode Island


South Dakota


Hawaii


Vermont


Delaware


North Dakota


Wyoming


Alaska


District of Columbia





Notes:
Created by statecancerprofiles.cancer.gov on 03/30/2026 5:49 pm.

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 for United States does not include Puerto Rico.

CI*Rank data for Puerto Rico is not available.