State Cancer Profiles

Interpretation of Death Rates Data

Death Rate Report for Maryland by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Female, All Ages

Sorted by Name

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

Maryland

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 124.8 with a 95% confidence interval from 123.3 to 126.3 and 5,314 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 -1.8 to -1.6.

United States

• 2023 Rural-Urban Continuum Codes Φ : N/A
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 126.4 with a 95% confidence interval from 126.2 to 126.6 and 285,526 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 -1.4 to -1.1.

Worcester County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 125.0 with a 95% confidence interval from 111.0 to 140.7 and 69 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 17 (5, 21)
• Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -2.0 to -0.8.

Wicomico County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 144.4 with a 95% confidence interval from 131.7 to 158.1 and 100 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 6 (2, 15)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.7 to -0.7.

Washington County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 137.7 with a 95% confidence interval from 127.9 to 148.1 and 157 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 8 (3, 17)
• Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.4 to -0.6.

Talbot County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 121.7 with a 95% confidence interval from 106.3 to 139.5 and 54 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 18 (5, 23)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -2.0 to -0.4.

St. Marys County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 156.4 with a 95% confidence interval from 142.8 to 170.9 and 101 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 3 (1, 9)
• Recent Trend : The trend is stable because the trend is -0.5 with a 95% confidence interval from -1.0 to 0.0.

Somerset County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 176.5 with a 95% confidence interval from 148.0 to 209.7 and 30 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 1 (1, 9)
• Recent Trend : The trend is stable because the trend is -0.4 with a 95% confidence interval from -1.5 to 5.5.

Queen Annes County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 127.1 with a 95% confidence interval from 111.5 to 144.6 and 50 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 16 (4, 21)
• Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -2.2 to -1.0.

Prince Georges County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 117.0 with a 95% confidence interval from 113.1 to 121.0 and 705 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 19 (16, 21)
• Recent Trend : The trend is falling because the trend is -2.3 with a 95% confidence interval from -2.8 to -2.0.

Montgomery County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 100.2 with a 95% confidence interval from 96.9 to 103.5 and 748 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 22 (20, 24)
• Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -1.8 to -1.4.

Kent County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 99.1 with a 95% confidence interval from 79.5 to 123.8 and 20 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 24 (12, 24)
• Recent Trend : The trend is falling because the trend is -2.1 with a 95% confidence interval from -3.3 to -0.9.

Howard County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 100.1 with a 95% confidence interval from 94.0 to 106.6 and 204 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 23 (20, 24)
• Recent Trend : The trend is falling because the trend is -2.2 with a 95% confidence interval from -2.4 to -1.8.

Harford County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 128.1 with a 95% confidence interval from 120.7 to 135.8 and 236 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 13 (7, 19)
• Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.6 to -0.9.

Garrett County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 101.0 with a 95% confidence interval from 84.2 to 121.0 and 27 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 21 (15, 24)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.8 to -0.5.

Frederick County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : Yes
• Rate : The death rate is 109.3 with a 95% confidence interval from 102.4 to 116.6 and 193 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 20 (18, 23)
• Recent Trend : The trend is falling because the trend is -2.4 with a 95% confidence interval from -6.3 to -1.6.

Dorchester County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 146.6 with a 95% confidence interval from 125.9 to 170.2 and 40 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 4 (1, 18)
• Recent Trend : The trend is stable because the trend is -0.7 with a 95% confidence interval from -3.9 to 2.6.

Charles County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 127.3 with a 95% confidence interval from 117.4 to 137.8 and 128 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 14 (6, 19)
• Recent Trend : The trend is falling because the trend is -1.8 with a 95% confidence interval from -2.2 to -1.3.

Cecil County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 142.3 with a 95% confidence interval from 129.7 to 156.0 and 97 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 7 (2, 17)
• Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.8 to -0.7.

Carroll County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 132.5 with a 95% confidence interval from 123.5 to 142.1 and 169 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 12 (5, 18)
• Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.5 to -0.9.

Caroline County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 144.9 with a 95% confidence interval from 123.9 to 168.9 and 35 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 5 (1, 19)
• Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -2.2 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 135.6 with a 95% confidence interval from 122.8 to 149.5 and 86 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 9 (3, 18)
• Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.9 to -0.6.

Baltimore County

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 135.6 with a 95% confidence interval from 131.4 to 139.8 and 882 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 10 (5, 14)
• Recent Trend : The trend is falling because the trend is -1.3 with a 95% confidence interval from -1.5 to -1.1.

Baltimore City

• 2023 Rural-Urban Continuum Codes Φ : Urban
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 158.0 with a 95% confidence interval from 152.3 to 163.8 and 618 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 2 (1, 5)
• Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.9 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 127.2 with a 95% confidence interval from 122.1 to 132.4 and 489 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 15 (9, 18)
• Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -1.9 to -1.4.

Allegany County

• 2023 Rural-Urban Continuum Codes Φ : Rural
• Met Healthy People Objective of 122.7? : No
• Rate : The death rate is 134.0 with a 95% confidence interval from 120.0 to 149.5 and 75 average annual deaths over 2018-2022.
• CI*Rank ⋔ : 11 (3, 19)
• Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.5 to -0.6.

Notes:
Created by statecancerprofiles.cancer.gov on 12/11/2024 2:22 pm.

State Cancer Registries may provide more current or more local data.

† 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.


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.

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.