Mortality > Table > Interpret

## Interpretation of Death Rates Data

### Death Rate Report for Delaware by CountyAll Cancer Sites, 2016-2020All Races (includes Hispanic), Both Sexes, Ages 50+Sorted by CI*Rank

Explanation of Column Headers

Objective - 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

#### Delaware

• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 531.9 with a 95% confidence interval from 521.5 to 542.5 and 2,019 average annual deaths over 2016-2020.
• CI*Rank⋔ : N/A
• Recent Trend : The trend is because the trend is -1.6 with a 95% confidence interval from -1.7 to -1.5.

#### United States

• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 501.7 with a 95% confidence interval from 501.1 to 502.3 and 569,776 average annual deaths over 2016-2020.
• CI*Rank⋔ : N/A
• Recent Trend : The trend is because the trend is -2.1 with a 95% confidence interval from -2.3 to -1.8.

#### Sussex County

• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 516.4 with a 95% confidence interval from 498.0 to 535.2 and 634 average annual deaths over 2016-2020.
• CI*Rank⋔ : 3 (2, 3)
• Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.4.

#### New Castle County

• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 534.0 with a 95% confidence interval from 519.3 to 549.1 and 1,022 average annual deaths over 2016-2020.
• CI*Rank⋔ : 2 (1, 3)
• Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -1.8 to -1.5.

#### Kent County

• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 563.2 with a 95% confidence interval from 537.3 to 590.0 and 364 average annual deaths over 2016-2020.
• CI*Rank⋔ : 1 (1, 2)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.5 to -0.9.

Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2023 6:48 pm.

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.

† 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.

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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

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.