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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), Both Sexes, Ages <65

Sorted by Recentaapc
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 descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend ascending
Maryland Yes 50.2 (49.4, 51.0) 3,362 falling falling trend -1.2 (-2.1, -0.2)
United States Yes 51.3 (51.2, 51.4) 177,172 falling falling trend -1.4 (-1.6, -1.3)
Worcester County Yes 61.8 (52.7, 72.2) 39 stable stable trend 0.8 (-2.1, 3.7)
Garrett County Yes 45.1 (35.7, 56.7) 17 stable stable trend -1.0 (-2.3, 0.2)
Montgomery County Yes 34.5 (33.0, 36.1) 393 falling falling trend -1.1 (-2.1, -0.2)
Cecil County Yes 58.9 (52.7, 65.7) 71 falling falling trend -1.3 (-1.8, -0.9)
Wicomico County Yes 65.0 (58.1, 72.5) 70 falling falling trend -1.4 (-2.2, -0.7)
Washington County Yes 58.0 (52.8, 63.6) 97 falling falling trend -1.5 (-2.1, -0.9)
Allegany County Yes 56.6 (49.3, 64.8) 46 falling falling trend -1.6 (-2.3, -0.9)
Harford County Yes 48.4 (44.9, 52.2) 145 falling falling trend -1.8 (-2.2, -1.4)
Baltimore County Yes 51.8 (49.7, 54.0) 484 falling falling trend -1.9 (-2.3, -1.6)
St. Marys County Yes 54.2 (48.5, 60.6) 66 falling falling trend -1.9 (-2.5, -1.3)
Caroline County Yes 67.4 (55.9, 80.8) 26 falling falling trend -2.0 (-3.1, -0.9)
Anne Arundel County Yes 50.4 (47.9, 53.0) 319 falling falling trend -2.1 (-2.3, -1.9)
Carroll County Yes 49.5 (45.2, 54.3) 101 falling falling trend -2.1 (-2.6, -1.5)
Charles County Yes 52.1 (47.3, 57.2) 89 falling falling trend -2.1 (-2.7, -1.5)
Baltimore City Yes 77.5 (74.5, 80.7) 514 falling falling trend -2.2 (-2.4, -2.0)
Queen Annes County Yes 44.1 (36.9, 52.6) 28 falling falling trend -2.2 (-3.3, -1.0)
Dorchester County Yes 65.3 (53.6, 79.1) 25 falling falling trend -2.3 (-3.2, -1.5)
Frederick County Yes 44.6 (41.1, 48.4) 124 falling falling trend -2.3 (-2.8, -1.9)
Prince Georges County Yes 51.2 (49.2, 53.3) 498 falling falling trend -2.3 (-2.5, -2.1)
Calvert County Yes 47.9 (42.2, 54.3) 53 falling falling trend -2.5 (-3.1, -1.9)
Somerset County Yes 55.3 (43.3, 69.8) 16 falling falling trend -2.5 (-3.7, -1.3)
Talbot County Yes 36.1 (28.1, 46.1) 16 falling falling trend -2.8 (-3.9, -1.6)
Kent County Yes 44.6 (32.7, 60.3) 11 falling falling trend -2.9 (-4.3, -1.4)
Howard County Yes 33.7 (30.9, 36.6) 117 falling falling trend -3.3 (-3.9, -2.7)
Notes:
Created by statecancerprofiles.cancer.gov on 07/07/2020 5:27 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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