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 Name
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? : Yes
- Rate : The death rate is 45.2 with a 95% confidence interval from 43.0 to 47.5 and 353 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is stable because the trend is -1.2 with a 95% confidence interval from -1.7 to 0.2.
United States
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 45.0 with a 95% confidence interval from 44.9 to 45.1 and 161,722 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -2.1 with a 95% confidence interval from -2.4 to -1.9.
Addison County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 41.5 with a 95% confidence interval from 32.8 to 52.1 and 18 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -2.7 to -0.9.
Bennington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 51.4 with a 95% confidence interval from 41.5 to 63.1 and 23 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (1, 12)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.9 to -0.1.
Caledonia County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 57.3 with a 95% confidence interval from 46.2 to 70.7 and 21 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 9)
- Recent Trend : The trend is stable because the trend is -1.1 with a 95% confidence interval from -2.0 to 0.0.
Chittenden County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 40.0 with a 95% confidence interval from 35.8 to 44.6 and 72 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (7, 14)
- Recent Trend : The trend is falling because the trend is -2.3 with a 95% confidence interval from -2.8 to -1.8.
Essex County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 40.8 with a 95% confidence interval from 24.3 to 69.7 and 4 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (1, 14)
- Recent Trend : The trend is falling because the trend is -3.3 with a 95% confidence interval from -5.4 to -1.5.
Franklin County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 47.8 with a 95% confidence interval from 40.1 to 56.6 and 30 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (1, 13)
- Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -2.7 to -0.9.
Grand Isle County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 54.0 with a 95% confidence interval from 33.3 to 85.0 and 5 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 14)
- Recent Trend : The trend is stable because the trend is -1.3 with a 95% confidence interval from -3.5 to 1.1.
Lamoille County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 36.8 with a 95% confidence interval from 27.5 to 48.5 and 12 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (5, 14)
- Recent Trend : The trend is stable because the trend is -1.2 with a 95% confidence interval from -2.3 to 0.0.
Orange County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 41.4 with a 95% confidence interval from 32.5 to 52.4 and 17 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.6 to -0.4.
Orleans County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 48.7 with a 95% confidence interval from 37.6 to 62.4 and 15 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (1, 14)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.4 to -0.7.
Rutland County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 52.4 with a 95% confidence interval from 44.8 to 61.0 and 42 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 10)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -2.1 to -0.8.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 41.5 with a 95% confidence interval from 34.9 to 49.1 and 32 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (4, 14)
- Recent Trend : The trend is stable because the trend is -0.6 with a 95% confidence interval from -2.4 to 8.4.
Windham County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 47.6 with a 95% confidence interval from 38.9 to 57.8 and 26 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (1, 13)
- Recent Trend : The trend is falling because the trend is -2.0 with a 95% confidence interval from -3.0 to -0.9.
Windsor County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 48.0 with a 95% confidence interval from 40.5 to 56.8 and 35 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (1, 12)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.7 to -1.2.
Notes:
Created by statecancerprofiles.cancer.gov on 10/07/2024 8:03 pm.
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.
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.