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Death Rates Table

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Death Rate Report for Maryland by County

Breast, 2018-2022

All Races (includes Hispanic), Female, All Ages

Sorted by CI*Rank
County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 15.3?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank ascending
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 No 20.0 (19.4, 20.6) N/A 827 falling falling trend -1.9 (-2.0, -1.7)
United States N/A No 19.3 (19.2, 19.4) N/A 42,308 falling falling trend -1.2 (-1.3, -1.1)
Dorchester County Rural Yes 11.7 (6.9, 19.5) 23 (11, 23) 4 falling falling trend -3.5 (-5.3, -2.0)
Talbot County Rural Yes 13.5 (9.1, 20.6) 22 (10, 23) 7 falling falling trend -3.6 (-5.1, -2.1)
Allegany County Rural Yes 13.8 (9.7, 19.4) 21 (11, 23) 8 falling falling trend -2.9 (-4.3, -1.7)
Frederick County Urban Yes 15.0 (12.4, 17.9) 20 (13, 23) 25 falling falling trend -14.6 (-26.3, -2.4)
Howard County Urban No 16.5 (14.1, 19.3) 19 (10, 22) 33 falling falling trend -1.9 (-2.6, -1.1)
Garrett County Rural No 17.0 (10.7, 26.9) 18 (2, 23) 5
*
*
Montgomery County Urban No 17.2 (15.8, 18.7) 17 (12, 21) 123 stable stable trend -0.9 (-1.8, 2.2)
Worcester County Rural No 17.9 (12.3, 25.6) 16 (2, 23) 9 stable stable trend -1.0 (-2.4, 0.5)
Anne Arundel County Urban No 18.2 (16.3, 20.2) 15 (9, 20) 70 falling falling trend -2.2 (-2.6, -1.7)
Harford County Urban No 19.4 (16.5, 22.6) 14 (5, 20) 35 falling falling trend -1.7 (-2.5, -0.7)
Carroll County Urban No 19.7 (16.3, 23.7) 13 (3, 21) 25 falling falling trend -1.7 (-2.3, -0.9)
Caroline County Rural No 19.8 (12.8, 29.9) 12 (1, 23) 5 falling falling trend -2.2 (-4.1, -0.5)
Baltimore County Urban No 20.6 (19.0, 22.4) 11 (5, 16) 131 falling falling trend -1.8 (-2.2, -1.4)
Wicomico County Urban No 21.2 (16.3, 27.1) 10 (1, 21) 14 falling falling trend -2.5 (-3.7, -1.4)
Cecil County Urban No 21.4 (16.6, 27.3) 9 (1, 21) 14 falling falling trend -1.7 (-2.5, -0.7)
Charles County Urban No 22.3 (18.2, 27.0) 8 (1, 18) 22 stable stable trend -1.2 (-2.4, 0.1)
Calvert County Urban No 22.6 (17.5, 28.9) 7 (1, 19) 14 stable stable trend -1.4 (-2.7, 0.3)
Queen Annes County Urban No 22.7 (16.0, 31.7) 6 (1, 21) 8 falling falling trend -2.5 (-4.0, -0.9)
Washington County Urban No 22.9 (18.9, 27.6) 5 (1, 17) 25 falling falling trend -1.0 (-1.8, -0.2)
Prince Georges County Urban No 23.4 (21.7, 25.3) 4 (1, 11) 140 falling falling trend -1.6 (-2.0, -1.3)
Baltimore City Urban No 23.7 (21.5, 26.1) 3 (1, 11) 89 falling falling trend -2.2 (-5.4, -1.8)
Somerset County Urban No 24.7 (14.9, 39.5) 2 (1, 23) 4
*
*
St. Marys County Urban No 28.2 (22.5, 35.0) 1 (1, 11) 18 stable stable trend 0.5 (-0.6, 1.8)
Kent County Rural ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/03/2024 1:52 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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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