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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), Female, All Ages

Sorted by Name

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 descending
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 No 124.8 (123.3, 126.3) N/A 5,314 falling falling trend -1.7 (-1.8, -1.6)
United States N/A No 126.4 (126.2, 126.6) N/A 285,526 falling falling trend -1.3 (-1.4, -1.1)
Worcester County Rural No 125.0 (111.0, 140.7) 17 (5, 21) 69 falling falling trend -1.4 (-2.0, -0.8)
Wicomico County Urban No 144.4 (131.7, 158.1) 6 (2, 15) 100 falling falling trend -1.2 (-1.7, -0.7)
Washington County Urban No 137.7 (127.9, 148.1) 8 (3, 17) 157 falling falling trend -1.0 (-1.4, -0.6)
Talbot County Rural Yes 121.7 (106.3, 139.5) 18 (5, 23) 54 falling falling trend -1.2 (-2.0, -0.4)
St. Marys County Urban No 156.4 (142.8, 170.9) 3 (1, 9) 101 stable stable trend -0.5 (-1.0, 0.0)
Somerset County Urban No 176.5 (148.0, 209.7) 1 (1, 9) 30 stable stable trend -0.4 (-1.5, 5.5)
Queen Annes County Urban No 127.1 (111.5, 144.6) 16 (4, 21) 50 falling falling trend -1.7 (-2.2, -1.0)
Prince Georges County Urban Yes 117.0 (113.1, 121.0) 19 (16, 21) 705 falling falling trend -2.3 (-2.8, -2.0)
Montgomery County Urban Yes 100.2 (96.9, 103.5) 22 (20, 24) 748 falling falling trend -1.6 (-1.8, -1.4)
Kent County Rural Yes 99.1 (79.5, 123.8) 24 (12, 24) 20 falling falling trend -2.1 (-3.3, -0.9)
Howard County Urban Yes 100.1 (94.0, 106.6) 23 (20, 24) 204 falling falling trend -2.2 (-2.4, -1.8)
Harford County Urban No 128.1 (120.7, 135.8) 13 (7, 19) 236 falling falling trend -1.3 (-1.6, -0.9)
Garrett County Rural Yes 101.0 (84.2, 121.0) 21 (15, 24) 27 falling falling trend -1.2 (-1.8, -0.5)
Frederick County Urban Yes 109.3 (102.4, 116.6) 20 (18, 23) 193 falling falling trend -2.4 (-6.3, -1.6)
Dorchester County Rural No 146.6 (125.9, 170.2) 4 (1, 18) 40 stable stable trend -0.7 (-3.9, 2.6)
Charles County Urban No 127.3 (117.4, 137.8) 14 (6, 19) 128 falling falling trend -1.8 (-2.2, -1.3)
Cecil County Urban No 142.3 (129.7, 156.0) 7 (2, 17) 97 falling falling trend -1.3 (-1.8, -0.7)
Carroll County Urban No 132.5 (123.5, 142.1) 12 (5, 18) 169 falling falling trend -1.2 (-1.5, -0.9)
Caroline County Rural No 144.9 (123.9, 168.9) 5 (1, 19) 35 falling falling trend -1.4 (-2.2, -0.6)
Calvert County Urban No 135.6 (122.8, 149.5) 9 (3, 18) 86 falling falling trend -1.3 (-1.9, -0.6)
Baltimore County Urban No 135.6 (131.4, 139.8) 10 (5, 14) 882 falling falling trend -1.3 (-1.5, -1.1)
Baltimore City Urban No 158.0 (152.3, 163.8) 2 (1, 5) 618 falling falling trend -1.6 (-2.9, -1.4)
Anne Arundel County Urban No 127.2 (122.1, 132.4) 15 (9, 18) 489 falling falling trend -1.7 (-1.9, -1.4)
Allegany County Rural No 134.0 (120.0, 149.5) 11 (3, 19) 75 falling falling trend -1.1 (-1.5, -0.6)
Notes:
Created by statecancerprofiles.cancer.gov on 10/22/2024 4:04 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.

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.

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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