Interpretation of Death Rates Data
Death Rate Report for Vermont by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, Ages 65+
Sorted by Rate
Explanation of Column HeadersObjective - The objective of 122.7 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:
- 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 876.3 with a 95% confidence interval from 852.6 to 900.4 and 1,066 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling
because the trend is -1.1 with a 95% confidence interval from -1.2 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 844.0 with a 95% confidence interval from 842.9 to 845.1 and 441,232 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling
because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.5.
Essex County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 1,049.1 with a 95% confidence interval from 828.0 to 1,310.9 and 16 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 13)
- Recent Trend : The trend is stable
because the trend is -0.7 with a 95% confidence interval from -1.8 to 0.6.
Lamoille County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 970.5 with a 95% confidence interval from 842.6 to 1,112.4 and 42 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 13)
- Recent Trend : The trend is falling
because the trend is -0.9 with a 95% confidence interval from -1.7 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 960.9 with a 95% confidence interval from 722.3 to 1,251.7 and 12 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 14)
- Recent Trend : The trend is stable
because the trend is -1.5 with a 95% confidence interval from -2.8 to 0.0.
Orleans County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 951.5 with a 95% confidence interval from 842.0 to 1,071.3 and 56 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (1, 12)
- Recent Trend : The trend is falling
because the trend is -0.9 with a 95% confidence interval from -1.3 to -0.4.
Franklin County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 950.0 with a 95% confidence interval from 853.9 to 1,053.8 and 74 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (1, 12)
- Recent Trend : The trend is falling
because the trend is -0.8 with a 95% confidence interval from -1.3 to -0.3.
Rutland County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 941.4 with a 95% confidence interval from 867.7 to 1,019.6 and 124 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (1, 10)
- Recent Trend : The trend is falling
because the trend is -3.6 with a 95% confidence interval from -8.0 to -0.5.
Bennington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 914.0 with a 95% confidence interval from 824.3 to 1,010.7 and 77 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (1, 13)
- Recent Trend : The trend is falling
because the trend is -1.2 with a 95% confidence interval from -1.6 to -0.7.
Caledonia County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 883.2 with a 95% confidence interval from 778.8 to 997.6 and 54 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (2, 14)
- Recent Trend : The trend is stable
because the trend is -0.7 with a 95% confidence interval from -1.3 to 0.1.
Windham County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 879.4 with a 95% confidence interval from 797.5 to 967.3 and 88 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (2, 14)
- Recent Trend : The trend is falling
because the trend is -1.2 with a 95% confidence interval from -1.7 to -0.6.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 870.4 with a 95% confidence interval from 793.9 to 952.2 and 98 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (3, 14)
- Recent Trend : The trend is falling
because the trend is -1.2 with a 95% confidence interval from -1.6 to -0.7.
Chittenden County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 849.7 with a 95% confidence interval from 798.8 to 902.9 and 214 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (5, 13)
- Recent Trend : The trend is falling
because the trend is -1.3 with a 95% confidence interval from -1.6 to -1.0.
Orange County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 815.0 with a 95% confidence interval from 713.3 to 927.0 and 49 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (4, 14)
- Recent Trend : The trend is falling
because the trend is -1.4 with a 95% confidence interval from -1.9 to -0.7.
Addison County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 795.8 with a 95% confidence interval from 706.4 to 893.3 and 59 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (6, 14)
- Recent Trend : The trend is falling
because the trend is -1.4 with a 95% confidence interval from -2.0 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 781.1 with a 95% confidence interval from 714.4 to 852.3 and 103 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (9, 14)
- Recent Trend : The trend is falling
because the trend is -1.1 with a 95% confidence interval from -1.5 to -0.6.
Notes:
Created by statecancerprofiles.cancer.gov on 04/27/2025 10:39 am.
State Cancer Registries may provide more current or more local data.
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.
† 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 2030 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ 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.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
Φ Rural-Urban Continuum Codes provided by the USDA.
Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.
Data for United States does not include Puerto Rico.