Interpretation of Death Rates Data
Death Rate Report for Vermont by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Female, All Ages
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? : No
- Rate : The death rate is 127.6 with a 95% confidence interval from 123.1 to 132.3 and 650 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 -1.3 to -1.0.
United States
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 126.4 with a 95% confidence interval from 126.2 to 126.6 and 285,526 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.4 to -1.1.
Windsor County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 119.8 with a 95% confidence interval from 106.3 to 135.0 and 63 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (4, 14)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.7 to -0.6.
Windham County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 135.2 with a 95% confidence interval from 118.7 to 153.8 and 54 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (2, 13)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.6 to -0.5.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 124.2 with a 95% confidence interval from 110.1 to 140.0 and 60 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.9 to -0.9.
Rutland County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 140.2 with a 95% confidence interval from 125.5 to 156.5 and 74 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (1, 11)
- Recent Trend : The trend is stable because the trend is -0.5 with a 95% confidence interval from -1.0 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 159.1 with a 95% confidence interval from 135.8 to 185.9 and 37 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 7)
- Recent Trend : The trend is stable because the trend is -0.5 with a 95% confidence interval from -1.2 to 0.3.
Orange County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 122.1 with a 95% confidence interval from 102.9 to 144.7 and 31 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.2 to -0.8.
Lamoille County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 123.2 with a 95% confidence interval from 100.8 to 149.6 and 22 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (2, 14)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.9 to -0.2.
Grand Isle County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 163.0 with a 95% confidence interval from 113.5 to 229.3 and 8 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 14)
- Recent Trend : The trend is stable because the trend is -0.8 with a 95% confidence interval from -2.5 to 1.2.
Franklin County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 119.8 with a 95% confidence interval from 103.8 to 137.9 and 42 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (4, 14)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.2 to -0.8.
Essex County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 165.5 with a 95% confidence interval from 121.4 to 227.0 and 10 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 14)
- Recent Trend : The trend is stable because the trend is -1.1 with a 95% confidence interval from -2.4 to 0.4.
Chittenden County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 120.9 with a 95% confidence interval from 111.8 to 130.7 and 136 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (6, 14)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.8 to -1.1.
Caledonia County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 121.7 with a 95% confidence interval from 102.2 to 144.6 and 30 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (3, 14)
- Recent Trend : The trend is stable because the trend is -0.8 with a 95% confidence interval from -1.5 to 0.0.
Bennington County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 136.5 with a 95% confidence interval from 118.2 to 157.4 and 46 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (2, 13)
- Recent Trend : The trend is falling because the trend is -0.9 with a 95% confidence interval from -1.5 to -0.4.
Addison County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 121.8 with a 95% confidence interval from 103.8 to 142.6 and 36 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -2.0 to -0.5.
Notes:
Created by statecancerprofiles.cancer.gov on 12/04/2024 3:51 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.
⋔ 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.
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.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.