Interpretation of Death Rates Data
Death Rate Report for Connecticut by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Count
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
Connecticut
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 135.6 with a 95% confidence interval from 134.1 to 137.1 and 6,558 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 -1.7 to -0.7.
United States
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 146.0 with a 95% confidence interval from 145.8 to 146.2 and 602,955 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.6 to -1.4.
New Haven County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 142.7 with a 95% confidence interval from 139.6 to 145.9 and 1,651 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (2, 4)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.4 to -1.6.
Hartford County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 135.2 with a 95% confidence interval from 132.2 to 138.2 and 1,615 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (4, 7)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.7 to -1.6.
Fairfield County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 122.5 with a 95% confidence interval from 119.7 to 125.4 and 1,486 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (7, 8)
- Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -1.9 to -1.2.
New London County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 148.8 with a 95% confidence interval from 143.2 to 154.6 and 560 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 3)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.5 to -1.0.
Litchfield County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 139.1 with a 95% confidence interval from 133.0 to 145.5 and 412 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (3, 6)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.2 to -1.3.
Middlesex County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 129.0 with a 95% confidence interval from 122.7 to 135.5 and 336 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (5, 8)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.4.
Tolland County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 134.9 with a 95% confidence interval from 127.3 to 142.8 and 251 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (3, 7)
- Recent Trend : The trend is stable
because the trend is 2.5 with a 95% confidence interval from -1.8 to 5.5.
Windham County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 159.3 with a 95% confidence interval from 150.3 to 168.8 and 247 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 2)
- Recent Trend : The trend is stable because the trend is -0.6 with a 95% confidence interval from -1.2 to 0.8.
Notes:
Created by statecancerprofiles.cancer.gov on 12/07/2024 10:04 am.
State Cancer Registries may provide more current or more local data.
Trend
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.
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.
Note: This website still uses Connecticut counties instead of planning regions for consistency of geographies across data topics. If/when all data sources have new planning regions, then this website will switch to using them. 2013 Rural-Urban Continuum Codes will be used for Connecticut 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.