Interpretation of Death Rates Data
Death Rate Report for Maryland by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, Ages 50+
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 475.6 with a 95% confidence interval from 471.4 to 479.8 and 10,227 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.0 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 490.4 with a 95% confidence interval from 489.9 to 491.0 and 573,761 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -1.9 to -1.6.
Worcester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 464.8 with a 95% confidence interval from 430.8 to 500.9 and 142 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 18 (12, 22)
- Recent Trend : The trend is falling because the trend is -4.4 with a 95% confidence interval from -9.2 to -2.0.
Wicomico County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 585.5 with a 95% confidence interval from 550.2 to 622.6 and 210 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (2, 9)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.6 to -0.8.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 545.2 with a 95% confidence interval from 518.8 to 572.6 and 325 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (4, 13)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.4 to -0.9.
Talbot County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 457.7 with a 95% confidence interval from 418.6 to 499.7 and 106 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 19 (12, 22)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.0 to -1.0.
St. Marys County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 563.0 with a 95% confidence interval from 527.5 to 600.2 and 195 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (3, 12)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -3.9 to -0.8.
Somerset County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 703.1 with a 95% confidence interval from 626.7 to 786.3 and 64 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 4)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.9 to -0.9.
Queen Annes County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 495.6 with a 95% confidence interval from 453.2 to 540.9 and 103 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 15 (7, 21)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.0 to -1.0.
Prince Georges County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 441.6 with a 95% confidence interval from 430.6 to 452.8 and 1,298 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 21 (17, 22)
- Recent Trend : The trend is falling because the trend is -2.6 with a 95% confidence interval from -2.9 to -2.4.
Montgomery County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 355.7 with a 95% confidence interval from 347.1 to 364.4 and 1,337 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 24 (23, 24)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.0 to -1.7.
Kent County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 468.8 with a 95% confidence interval from 410.7 to 532.9 and 50 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 17 (8, 22)
- Recent Trend : The trend is falling because the trend is -1.9 with a 95% confidence interval from -2.6 to -1.3.
Howard County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 374.3 with a 95% confidence interval from 357.5 to 391.7 and 386 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 23 (22, 24)
- Recent Trend : The trend is falling because the trend is -2.3 with a 95% confidence interval from -2.6 to -2.0.
Harford County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 503.4 with a 95% confidence interval from 482.9 to 524.4 and 472 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (9, 18)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.6 to -1.2.
Garrett County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 443.8 with a 95% confidence interval from 395.1 to 497.0 and 62 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 20 (12, 23)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.6 to -0.4.
Frederick County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 431.3 with a 95% confidence interval from 412.1 to 451.3 and 388 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 22 (18, 22)
- Recent Trend : The trend is falling because the trend is -2.2 with a 95% confidence interval from -4.7 to -1.8.
Dorchester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 562.9 with a 95% confidence interval from 509.4 to 620.5 and 84 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (2, 15)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.9 to -1.2.
Charles County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 520.0 with a 95% confidence interval from 491.2 to 550.0 and 258 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (6, 17)
- Recent Trend : The trend is falling because the trend is -2.0 with a 95% confidence interval from -4.0 to -1.7.
Cecil County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 578.9 with a 95% confidence interval from 543.6 to 615.8 and 211 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 5 (2, 10)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -3.3 to -1.2.
Carroll County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 513.7 with a 95% confidence interval from 489.2 to 539.1 and 338 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (7, 17)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.8 to -1.2.
Caroline County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 619.3 with a 95% confidence interval from 558.0 to 685.6 and 76 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 9)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.7 to -0.6.
Calvert County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 536.6 with a 95% confidence interval from 500.9 to 574.3 and 174 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (4, 16)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.9 to -1.1.
Baltimore County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 509.7 with a 95% confidence interval from 498.6 to 521.0 and 1,661 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 13 (9, 16)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.7 to -1.3.
Baltimore City
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 624.2 with a 95% confidence interval from 608.0 to 640.7 and 1,183 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 4)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.4.
Anne Arundel County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 480.5 with a 95% confidence interval from 466.7 to 494.6 and 944 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 16 (14, 19)
- Recent Trend : The trend is falling because the trend is -2.4 with a 95% confidence interval from -3.6 to -2.0.
Allegany County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 531.8 with a 95% confidence interval from 495.1 to 570.6 and 158 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (4, 16)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.4 to -0.8.
Notes:
Created by statecancerprofiles.cancer.gov on 01/20/2025 7:32 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.