State Cancer Profiles

Interpretation of Death Rates Data

Death Rate Report for Vermont by County

All Cancer Sites, 2019-2023

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Name

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:

• 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.

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

• Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
• Data is currently being suppressed if there are fewer than 16 counts for the time period.

Line by Line Interpretation of the Report

Vermont

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 508.7 with a 95% confidence interval from 496.6 to 521.1 and 1,388 average annual counts over 2019-2023.
• CI*Rank ⋔ : N/A
• Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.3 to -0.9.

United States

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 488.7 with a 95% confidence interval from 488.1 to 489.2 and 576,743 average annual counts over 2019-2023.
• CI*Rank ⋔ : N/A
• Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.7 to -1.3.

Addison County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 452.4 with a 95% confidence interval from 406.4 to 502.2 and 73 average annual counts over 2019-2023.
• CI*Rank ⋔ : 14 (8, 14)
• Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.3 to -0.8.

Bennington County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 520.0 with a 95% confidence interval from 474.1 to 569.1 and 96 average annual counts over 2019-2023.
• CI*Rank ⋔ : 7 (2, 13)
• Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -2.0 to -0.6.

Caledonia County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 568.8 with a 95% confidence interval from 511.5 to 630.8 and 76 average annual counts over 2019-2023.
• CI*Rank ⋔ : 2 (1, 10)
• Recent Trend : The trend is stable because the trend is -0.7 with a 95% confidence interval from -1.5 to 0.1.

Chittenden County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 480.0 with a 95% confidence interval from 454.7 to 506.3 and 277 average annual counts over 2019-2023.
• CI*Rank ⋔ : 13 (7, 14)
• Recent Trend : The trend is stable because the trend is -1.1 with a 95% confidence interval from -1.9 to 0.7.

Essex County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 596.9 with a 95% confidence interval from 483.8 to 729.1 and 20 average annual counts over 2019-2023.
• CI*Rank ⋔ : 1 (1, 14)
• Recent Trend : The trend is stable because the trend is -0.8 with a 95% confidence interval from -2.6 to 1.2.

Franklin County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 537.7 with a 95% confidence interval from 490.1 to 588.6 and 98 average annual counts over 2019-2023.
• CI*Rank ⋔ : 5 (1, 12)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -2.2 to -0.1.

Grand Isle County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 533.4 with a 95% confidence interval from 415.3 to 674.6 and 16 average annual counts over 2019-2023.
• CI*Rank ⋔ : 6 (1, 14)
• Recent Trend : The trend is stable because the trend is -0.8 with a 95% confidence interval from -3.4 to 1.9.

Lamoille County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 517.0 with a 95% confidence interval from 454.6 to 585.6 and 51 average annual counts over 2019-2023.
• CI*Rank ⋔ : 8 (1, 14)
• Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -2.3 to -0.4.

Orange County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 480.4 with a 95% confidence interval from 428.5 to 537.0 and 66 average annual counts over 2019-2023.
• CI*Rank ⋔ : 12 (4, 14)
• Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.8 to -0.2.

Orleans County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 552.5 with a 95% confidence interval from 494.5 to 615.5 and 69 average annual counts over 2019-2023.
• CI*Rank ⋔ : 3 (1, 12)
• Recent Trend : The trend is stable because the trend is -0.6 with a 95% confidence interval from -1.2 to 0.0.

Rutland County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 551.2 with a 95% confidence interval from 512.9 to 591.7 and 160 average annual counts over 2019-2023.
• CI*Rank ⋔ : 4 (1, 9)
• Recent Trend : The trend is falling because the trend is -0.6 with a 95% confidence interval from -1.1 to -0.2.

Washington County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 505.3 with a 95% confidence interval from 466.4 to 546.5 and 129 average annual counts over 2019-2023.
• CI*Rank ⋔ : 10 (3, 14)
• Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.8 to -0.4.

Windham County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 512.2 with a 95% confidence interval from 469.5 to 557.6 and 113 average annual counts over 2019-2023.
• CI*Rank ⋔ : 9 (2, 13)
• Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.9 to -0.8.

Windsor County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 490.1 with a 95% confidence interval from 453.5 to 528.8 and 139 average annual counts over 2019-2023.
• CI*Rank ⋔ : 11 (5, 14)
• Recent Trend : The trend is falling because the trend is -0.9 with a 95% confidence interval from -1.5 to -0.3.

Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2026 8:18 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.

Φ Rural–urban county classifications are based on the 2023 USDA Rural–Urban Continuum Codes (except for Connecticut Counties which use 2013 codes). State-level cancer rates for rural areas are calculated using cancer cases registered exclusively in rural counties, while state-level cancer rates for urban areas are calculated using cases registered exclusively in urban counties.

Data for United States does not include Puerto Rico.