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Death Rates Table

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Death Rate Report for Maryland by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages <65

Sorted by Rate

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Maryland N/A Yes 43.0 (42.3, 43.7) N/A 2,998 falling falling trend -2.1 (-2.3, -1.4)
United States N/A Yes 45.0 (44.9, 45.1) N/A 161,722 falling falling trend -2.1 (-2.4, -1.9)
Baltimore City Urban Yes 65.7 (62.8, 68.8) 1 (1, 4) 411 falling falling trend -2.2 (-2.5, -2.1)
Somerset County Urban Yes 62.9 (50.2, 78.4) 2 (1, 12) 18 falling falling trend -2.1 (-3.1, -1.2)
Dorchester County Rural Yes 62.8 (51.4, 76.3) 3 (1, 10) 25 stable stable trend -1.3 (-2.2, 1.4)
Wicomico County Urban Yes 58.6 (52.0, 65.8) 4 (1, 9) 63 falling falling trend -1.5 (-2.1, -0.9)
Allegany County Rural Yes 55.9 (48.3, 64.4) 5 (1, 12) 43 falling falling trend -1.4 (-2.0, -0.8)
St. Marys County Urban Yes 53.2 (47.4, 59.5) 6 (3, 12) 67 falling falling trend -1.5 (-2.0, -1.0)
Caroline County Rural Yes 52.3 (42.5, 63.9) 7 (1, 20) 22 falling falling trend -2.1 (-2.9, -1.3)
Cecil County Urban Yes 51.0 (45.3, 57.3) 8 (3, 14) 65 falling falling trend -1.6 (-2.0, -1.1)
Kent County Rural Yes 50.0 (37.2, 66.7) 9 (1, 22) 12 falling falling trend -2.4 (-3.6, -1.4)
Washington County Urban Yes 47.1 (42.6, 52.1) 10 (6, 18) 85 falling falling trend -1.7 (-2.2, -1.2)
Worcester County Rural Yes 46.7 (38.5, 56.3) 11 (4, 22) 29 stable stable trend -1.6 (-7.5, 2.8)
Baltimore County Urban Yes 45.7 (43.7, 47.8) 12 (8, 16) 436 falling falling trend -2.0 (-2.3, -1.7)
Carroll County Urban Yes 44.7 (40.5, 49.3) 13 (7, 20) 92 falling falling trend -2.0 (-2.5, -1.5)
Anne Arundel County Urban Yes 42.7 (40.4, 45.1) 14 (11, 20) 282 falling falling trend -2.2 (-2.4, -2.0)
Charles County Urban Yes 42.1 (38.1, 46.6) 15 (9, 21) 84 falling falling trend -2.3 (-2.9, -1.7)
Prince Georges County Urban Yes 41.3 (39.6, 43.1) 16 (13, 21) 439 falling falling trend -2.5 (-2.7, -2.3)
Calvert County Urban Yes 41.1 (35.9, 46.9) 17 (9, 22) 49 falling falling trend -2.4 (-2.9, -1.9)
Talbot County Rural Yes 41.1 (32.6, 51.4) 18 (6, 24) 20 falling falling trend -2.3 (-3.3, -1.4)
Garrett County Rural Yes 40.9 (31.4, 52.9) 19 (5, 24) 15 stable stable trend -0.9 (-2.1, 0.2)
Harford County Urban Yes 40.7 (37.5, 44.2) 20 (11, 22) 128 falling falling trend -2.0 (-2.3, -1.7)
Queen Annes County Urban Yes 37.2 (30.5, 45.2) 21 (10, 24) 25 falling falling trend -2.3 (-3.4, -1.3)
Frederick County Urban Yes 35.6 (32.6, 38.8) 22 (18, 23) 111 falling falling trend -2.5 (-2.9, -2.1)
Howard County Urban Yes 31.6 (29.0, 34.4) 23 (21, 24) 115 stable stable trend -0.4 (-2.4, 6.5)
Montgomery County Urban Yes 31.4 (29.9, 32.9) 24 (22, 24) 362 stable stable trend -1.1 (-1.7, 0.3)
Notes:
Created by statecancerprofiles.cancer.gov on 12/04/2024 1:47 pm.

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


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.

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