Interpretation of Death Rates Data
Death Rate Report for Maryland by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Count
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 141.7 with a 95% confidence interval from 140.5 to 142.9 and 10,766 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 146.0 with a 95% confidence interval from 145.8 to 146.2 and 602,955 average annual deaths over 2018-2022.
- CI*Rank ⋔ : N/A
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.6 to -1.4.
Kent County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 137.1 with a 95% confidence interval from 119.8 to 156.8 and 51 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 18 (8, 23)
- Recent Trend : The trend is falling because the trend is -2.1 with a 95% confidence interval from -2.7 to -1.4.
Garrett County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 131.5 with a 95% confidence interval from 116.9 to 147.7 and 64 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 21 (11, 23)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.5 to -0.5.
Somerset County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 200.7 with a 95% confidence interval from 179.0 to 224.6 and 65 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 1 (1, 6)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -2.0 to -1.0.
Caroline County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 180.0 with a 95% confidence interval from 162.3 to 199.2 and 79 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 3 (1, 11)
- Recent Trend : The trend is falling because the trend is -1.4 with a 95% confidence interval from -1.8 to -0.9.
Dorchester County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 168.5 with a 95% confidence interval from 152.4 to 186.1 and 87 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 7 (1, 15)
- Recent Trend : The trend is stable because the trend is -1.4 with a 95% confidence interval from -2.7 to 0.5.
Queen Annes County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 145.0 with a 95% confidence interval from 132.6 to 158.3 and 106 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 15 (8, 21)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.1 to -1.2.
Talbot County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 133.1 with a 95% confidence interval from 121.4 to 145.9 and 108 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 20 (13, 22)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.1 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 143.6 with a 95% confidence interval from 132.6 to 155.5 and 147 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 16 (8, 21)
- Recent Trend : The trend is falling because the trend is -3.8 with a 95% confidence interval from -7.6 to -1.9.
Allegany County
- 2023 Rural-Urban Continuum Codes Φ : Rural
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 158.1 with a 95% confidence interval from 147.2 to 169.7 and 164 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 9 (4, 17)
- Recent Trend : The trend is falling because the trend is -1.1 with a 95% confidence interval from -1.5 to -0.8.
Calvert County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 155.5 with a 95% confidence interval from 145.3 to 166.3 and 179 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 10 (5, 17)
- Recent Trend : The trend is falling because the trend is -1.6 with a 95% confidence interval from -2.0 to -1.2.
St. Marys County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 169.4 with a 95% confidence interval from 159.0 to 180.2 and 209 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 6 (2, 11)
- Recent Trend : The trend is falling because the trend is -1.0 with a 95% confidence interval from -1.3 to -0.7.
Wicomico County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 175.3 with a 95% confidence interval from 164.9 to 186.3 and 221 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 4 (2, 8)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.6 to -0.8.
Cecil County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 171.3 with a 95% confidence interval from 161.1 to 182.1 and 221 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 -3.1 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 152.4 with a 95% confidence interval from 144.1 to 160.9 and 271 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 12 (7, 17)
- Recent Trend : The trend is falling because the trend is -2.2 with a 95% confidence interval from -6.1 to -1.7.
Washington County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 160.2 with a 95% confidence interval from 152.6 to 168.2 and 337 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 8 (5, 14)
- Recent Trend : The trend is falling because the trend is -1.2 with a 95% confidence interval from -1.4 to -1.0.
Carroll County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 154.1 with a 95% confidence interval from 146.9 to 161.6 and 355 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 11 (7, 16)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.7 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 127.1 with a 95% confidence interval from 121.5 to 132.8 and 407 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 22 (18, 22)
- Recent Trend : The trend is falling because the trend is -2.3 with a 95% confidence interval from -5.0 to -1.8.
Howard County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 112.6 with a 95% confidence interval from 107.7 to 117.6 and 414 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 -2.5 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 148.3 with a 95% confidence interval from 142.4 to 154.4 and 492 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 14 (9, 18)
- Recent Trend : The trend is falling because the trend is -1.5 with a 95% confidence interval from -1.6 to -1.3.
Anne Arundel County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 142.6 with a 95% confidence interval from 138.6 to 146.7 and 995 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 17 (13, 19)
- Recent Trend : The trend is falling because the trend is -2.4 with a 95% confidence interval from -3.2 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 186.0 with a 95% confidence interval from 181.3 to 190.8 and 1,245 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 2 (1, 4)
- Recent Trend : The trend is falling because the trend is -1.7 with a 95% confidence interval from -1.9 to -1.5.
Prince Georges County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 133.4 with a 95% confidence interval from 130.2 to 136.6 and 1,394 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 19 (17, 22)
- Recent Trend : The trend is falling because the trend is -2.5 with a 95% confidence interval from -2.8 to -2.4.
Montgomery County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : Yes
- Rate : The death rate is 106.9 with a 95% confidence interval from 104.4 to 109.5 and 1,418 average annual deaths over 2018-2022.
- CI*Rank ⋔ : 24 (23, 24)
- Recent Trend : The trend is stable because the trend is -1.5 with a 95% confidence interval from -1.9 to 0.5.
Baltimore County
- 2023 Rural-Urban Continuum Codes Φ : Urban
- Met Healthy People Objective of 122.7? : No
- Rate : The death rate is 151.8 with a 95% confidence interval from 148.6 to 155.2 and 1,737 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 -1.4.
Notes:
Created by statecancerprofiles.cancer.gov on 10/04/2024 2:01 pm.
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.