Interpretation of Death Rates Data
Death Rate Report for Maryland 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
Maryland
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 823.6 with a 95% confidence interval from 815.4 to 831.9 and 7,768 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -1.9 to -1.8.
United States
- 2023 Rural-Urban Continuum Codes Φ : N/A
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 844.0 with a 95% confidence interval from 842.9 to 845.1 and 441,232 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.5.
Allegany County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 864.8 with a 95% confidence interval from 797.1 to 936.7 and 121 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 15 (6, 19)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.4 to -0.7.
Anne Arundel County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 833.6 with a 95% confidence interval from 806.2 to 861.7 and 713 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 16 (13, 19)
- Recent Trend : The trend is falling because the trend is -2.4 with a 95% confidence interval from -3.4 to -2.0.
Baltimore City
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 1,017.1 with a 95% confidence interval from 986.0 to 1,049.0 and 835 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 7)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -3.2 to -1.4.
Baltimore County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 885.3 with a 95% confidence interval from 863.6 to 907.4 and 1,301 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (9, 16)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.5 to -1.2.
Calvert County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 946.3 with a 95% confidence interval from 874.2 to 1,022.7 and 130 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (2, 15)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.8 to -0.7.
Caroline County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 1,062.3 with a 95% confidence interval from 941.6 to 1,194.2 and 57 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 12)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.6 to -0.5.
Carroll County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 910.3 with a 95% confidence interval from 861.4 to 961.2 and 263 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (5, 16)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.6 to -1.0.
Cecil County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 1,002.9 with a 95% confidence interval from 932.6 to 1,077.2 and 156 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (1, 11)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -3.5 to -1.1.
Charles County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 914.2 with a 95% confidence interval from 855.7 to 975.6 and 187 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (4, 16)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.8 to -1.5.
Dorchester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 899.2 with a 95% confidence interval from 801.0 to 1,005.9 and 62 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (2, 20)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.0 to -1.2.
Frederick County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 759.2 with a 95% confidence interval from 720.6 to 799.3 and 296 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 20 (17, 22)
- Recent Trend : The trend is falling because the trend is -2.2 with a 95% confidence interval from -4.6 to -1.6.
Garrett County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 757.2 with a 95% confidence interval from 664.4 to 859.2 and 49 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 21 (12, 24)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.7 to -0.3.
Harford County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 891.9 with a 95% confidence interval from 851.0 to 934.3 and 365 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (7, 16)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.5 to -1.1.
Howard County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 672.4 with a 95% confidence interval from 638.4 to 707.7 and 299 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 23 (21, 24)
- Recent Trend : The trend is falling because the trend is -2.2 with a 95% confidence interval from -2.4 to -1.9.
Kent County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 738.8 with a 95% confidence interval from 638.0 to 851.0 and 39 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 22 (12, 24)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.6 to -1.2.
Montgomery County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 628.9 with a 95% confidence interval from 611.9 to 646.3 and 1,056 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 24 (23, 24)
- Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -2.0 to -1.6.
Prince Georges County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 769.6 with a 95% confidence interval from 747.4 to 792.2 and 955 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 18 (17, 22)
- Recent Trend : The trend is falling because the trend is -2.5 with a 95% confidence interval from -2.8 to -2.2.
Queen Annes County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 889.8 with a 95% confidence interval from 804.8 to 981.3 and 82 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (4, 19)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.9 to -0.7.
Somerset County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 1,153.0 with a 95% confidence interval from 1,007.7 to 1,313.2 and 46 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 8)
- Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.9 to -0.7.
St. Marys County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 972.4 with a 95% confidence interval from 901.4 to 1,047.5 and 142 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (2, 14)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -3.3 to -0.7.
Talbot County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 768.9 with a 95% confidence interval from 698.7 to 844.3 and 88 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 19 (14, 23)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.9 to -0.9.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 942.1 with a 95% confidence interval from 890.4 to 996.0 and 252 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (3, 14)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.3 to -0.6.
Wicomico County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 982.6 with a 95% confidence interval from 914.4 to 1,054.6 and 158 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (1, 13)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.6 to -0.6.
Worcester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 813.4 with a 95% confidence interval from 748.9 to 882.0 and 118 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 17 (10, 22)
- Recent Trend : The trend is falling because the trend is -3.2 with a 95% confidence interval from -9.2 to -1.7.
Notes:
Created by statecancerprofiles.cancer.gov on 11/12/2024 1:21 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.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
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.