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Death Rates Table

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Death Rate Report for Maryland by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate 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 Yes 139.9 (138.2, 141.7) 5,270 falling falling trend -1.7 (-1.8, -1.5)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Baltimore City No 182.5 (176.4, 188.8) 698 falling falling trend -1.1 (-1.4, -0.9)
Dorchester County No 163.9 (141.9, 188.9) 43 falling falling trend -1.3 (-2.0, -0.6)
Caroline County No 163.3 (139.8, 189.9) 36 falling falling trend -1.4 (-2.4, -0.4)
Wicomico County Yes 161.1 (147.2, 176.0) 104 falling falling trend -1.1 (-1.7, -0.5)
Somerset County Yes 159.1 (131.6, 191.1) 25 falling falling trend -1.8 (-2.6, -1.0)
Cecil County Yes 157.4 (143.3, 172.5) 97 falling falling trend -1.2 (-1.9, -0.6)
Washington County Yes 152.7 (141.9, 164.1) 157 falling falling trend -0.9 (-1.4, -0.4)
St. Marys County Yes 148.6 (134.4, 163.8) 84 falling falling trend -0.8 (-1.4, -0.1)
Worcester County Yes 148.2 (132.6, 165.5) 74 falling falling trend -1.3 (-2.0, -0.6)
Charles County Yes 147.8 (135.8, 160.5) 119 falling falling trend -1.6 (-2.1, -1.1)
Calvert County Yes 147.2 (132.6, 162.9) 78 falling falling trend -1.3 (-2.0, -0.6)
Allegany County Yes 145.4 (131.1, 161.1) 85 falling falling trend -0.9 (-1.5, -0.3)
Baltimore County Yes 143.9 (139.5, 148.4) 872 falling falling trend -1.2 (-1.5, -0.9)
Prince Georges County Yes 143.6 (138.7, 148.6) 695 falling falling trend -1.5 (-1.7, -1.3)
Anne Arundel County Yes 142.8 (137.0, 148.8) 477 falling falling trend -1.5 (-1.9, -1.2)
Harford County Yes 142.7 (134.4, 151.4) 231 falling falling trend -1.1 (-1.5, -0.7)
Carroll County Yes 142.5 (132.7, 153.0) 162 falling falling trend -1.2 (-1.6, -0.9)
Kent County Yes 137.3 (113.6, 165.8) 27 falling falling trend -1.8 (-3.1, -0.5)
Frederick County Yes 130.0 (121.6, 138.8) 188 falling falling trend -1.2 (-1.6, -0.9)
Queen Annes County Yes 127.2 (110.6, 145.8) 44 falling falling trend -1.8 (-2.5, -1.1)
Garrett County Yes 112.5 (94.2, 133.9) 28 falling falling trend -0.9 (-1.6, -0.2)
Howard County Yes 110.4 (103.2, 118.0) 184 falling falling trend -2.4 (-2.7, -2.0)
Talbot County Yes 109.7 (94.9, 126.8) 44 stable stable trend -14.6 (-31.3, 6.3)
Montgomery County Yes 108.7 (105.1, 112.4) 721 falling falling trend -1.7 (-2.0, -1.5)
Notes:
Created by statecancerprofiles.cancer.gov on 06/03/2020 12:10 am.

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 2020 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 1969-2016 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.


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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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