Interpretation of Death Rates Data
Death Rate Report for Maryland by County
Pancreas, 2018-2022
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Count
Explanation of Column HeadersObjective - The objective of *** 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
Maryland
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.1 with a 95% confidence interval from 10.8 to 11.5 and 856 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is stable because the trend is -0.8 with a 95% confidence interval from -3.0 to 0.0.
United States
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.2 with a 95% confidence interval from 11.1 to 11.2 and 46,760 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is rising because the trend is 0.3 with a 95% confidence interval from 0.2 to 0.3.
Baltimore County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.6 with a 95% confidence interval from 10.8 to 12.6 and 133 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (5, 17)
- Recent Trend : The trend is stable because the trend is 0.3 with a 95% confidence interval from -0.2 to 0.8.
Montgomery County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 9.3 with a 95% confidence interval from 8.6 to 10.1 and 125 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 21 (15, 24)
- Recent Trend : The trend is stable because the trend is -0.2 with a 95% confidence interval from -0.7 to 0.3.
Prince Georges County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 10.5 with a 95% confidence interval from 9.6 to 11.4 and 112 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 16 (9, 21)
- Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -4.2 to -0.8.
Baltimore City
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 15.1 with a 95% confidence interval from 13.8 to 16.5 and 102 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 7)
- Recent Trend : The trend is stable because the trend is 0.3 with a 95% confidence interval from -0.1 to 0.8.
Anne Arundel County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 10.8 with a 95% confidence interval from 9.8 to 12.0 and 77 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (7, 21)
- Recent Trend : The trend is falling because the trend is -3.4 with a 95% confidence interval from -9.3 to -0.9.
Harford County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.1 with a 95% confidence interval from 9.5 to 12.9 and 37 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (5, 22)
- Recent Trend : The trend is stable because the trend is 0.5 with a 95% confidence interval from -0.1 to 1.3.
Howard County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 9.8 with a 95% confidence interval from 8.4 to 11.4 and 36 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 19 (9, 24)
- Recent Trend : The trend is stable because the trend is -0.2 with a 95% confidence interval from -0.9 to 0.8.
Frederick County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 9.3 with a 95% confidence interval from 7.9 to 11.0 and 30 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 20 (11, 24)
- Recent Trend : The trend is stable because the trend is -0.5 with a 95% confidence interval from -1.5 to 0.8.
Carroll County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 12.0 with a 95% confidence interval from 10.1 to 14.3 and 28 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (2, 20)
- Recent Trend : The trend is stable because the trend is 0.1 with a 95% confidence interval from -0.8 to 1.2.
Charles County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 13.7 with a 95% confidence interval from 11.3 to 16.4 and 25 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (1, 16)
- Recent Trend : The trend is stable because the trend is 0.2 with a 95% confidence interval from -0.7 to 1.5.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.3 with a 95% confidence interval from 9.3 to 13.5 and 24 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (4, 22)
- Recent Trend : The trend is stable because the trend is 0.4 with a 95% confidence interval from -0.5 to 1.4.
Cecil County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 13.3 with a 95% confidence interval from 10.6 to 16.6 and 18 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (1, 19)
- Recent Trend : The trend is stable because the trend is 1.1 with a 95% confidence interval from -0.1 to 2.9.
St. Marys County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 13.1 with a 95% confidence interval from 10.4 to 16.4 and 17 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (1, 20)
- Recent Trend : * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Calvert County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 12.0 with a 95% confidence interval from 9.4 to 15.2 and 15 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (1, 23)
- Recent Trend : The trend is stable because the trend is 1.3 with a 95% confidence interval from -0.2 to 3.4.
Worcester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 12.9 with a 95% confidence interval from 9.8 to 17.0 and 14 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (1, 22)
- Recent Trend : The trend is stable because the trend is 0.1 with a 95% confidence interval from -1.6 to 2.3.
Wicomico County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 10.4 with a 95% confidence interval from 8.0 to 13.3 and 13 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 17 (4, 24)
- Recent Trend : The trend is stable because the trend is 0.3 with a 95% confidence interval from -1.1 to 2.2.
Queen Annes County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 14.0 with a 95% confidence interval from 10.4 to 18.7 and 10 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 22)
- Recent Trend : * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Allegany County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 8.9 with a 95% confidence interval from 6.5 to 12.1 and 9 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 22 (6, 24)
- Recent Trend : The trend is stable because the trend is 0.0 with a 95% confidence interval from -1.5 to 1.5.
Talbot County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 11.0 with a 95% confidence interval from 8.0 to 15.3 and 9 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (2, 24)
- Recent Trend : The trend is stable because the trend is 0.4 with a 95% confidence interval from -0.9 to 2.0.
Somerset County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 17.6 with a 95% confidence interval from 11.5 to 25.9 and 6 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 20)
- Recent Trend : * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Caroline County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 10.6 with a 95% confidence interval from 6.7 to 16.2 and 5 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 15 (1, 24)
- Recent Trend : The trend is stable because the trend is -1.6 with a 95% confidence interval from -3.9 to 0.8.
Dorchester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 8.0 with a 95% confidence interval from 4.8 to 13.0 and 4 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 24 (5, 24)
- Recent Trend : The trend is stable because the trend is 0.0 with a 95% confidence interval from -1.7 to 1.9.
Kent County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 9.9 with a 95% confidence interval from 5.8 to 16.8 and 4 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 18 (1, 24)
- Recent Trend : * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Garrett County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of ***? : ***
- Rate : The death rate is 8.7 with a 95% confidence interval from 4.9 to 14.7 and 4 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 23 (2, 24)
- Recent Trend : * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Notes:
Created by statecancerprofiles.cancer.gov on 10/15/2024 4:38 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.
*** No Healthy People 2030 Objective for this cancer.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
Φ Rural-Urban Continuum Codes provided by the USDA.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
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.