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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, 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 160.3 (158.9, 161.7) 10,674 falling falling trend -1.8 (-1.9, -1.8)
United States Yes 161.0 (160.8, 161.1) 590,623 falling falling trend -1.5 (-1.6, -1.5)
Baltimore City No 218.4 (213.2, 223.7) 1,422 falling falling trend -1.6 (-1.8, -1.4)
Wicomico County No 196.2 (184.7, 208.3) 225 falling falling trend -1.1 (-1.6, -0.6)
Dorchester County No 194.5 (176.6, 213.8) 92 falling falling trend -1.7 (-2.2, -1.2)
Cecil County No 187.4 (176.0, 199.4) 213 falling falling trend -1.1 (-1.5, -0.8)
Somerset County No 183.8 (162.5, 207.2) 56 falling falling trend -1.9 (-2.5, -1.3)
Caroline County No 182.5 (163.9, 202.8) 73 falling falling trend -1.6 (-2.2, -0.9)
St. Marys County No 180.5 (169.1, 192.5) 194 falling falling trend -1.0 (-1.4, -0.6)
Worcester County No 176.1 (163.6, 189.5) 162 falling falling trend -1.4 (-1.7, -1.0)
Washington County No 172.6 (164.2, 181.4) 321 falling falling trend -1.2 (-1.5, -0.9)
Harford County No 170.4 (163.5, 177.4) 490 falling falling trend -1.4 (-1.6, -1.2)
Charles County No 169.7 (159.9, 179.9) 242 falling falling trend -1.8 (-2.2, -1.3)
Allegany County No 167.2 (156.1, 178.9) 178 falling falling trend -1.1 (-1.5, -0.7)
Calvert County No 166.9 (155.3, 179.2) 163 falling falling trend -1.7 (-2.2, -1.2)
Anne Arundel County No 165.7 (161.0, 170.5) 999 falling falling trend -1.7 (-1.9, -1.5)
Baltimore County No 163.3 (159.8, 166.9) 1,717 stable stable trend 0.5 (-5.5, 6.9)
Prince Georges County No 162.3 (158.3, 166.4) 1,357 falling falling trend -2.1 (-2.3, -1.9)
Carroll County Yes 161.3 (153.4, 169.5) 328 falling falling trend -1.5 (-1.8, -1.2)
Queen Annes County Yes 158.7 (144.8, 173.6) 101 falling falling trend -1.5 (-2.1, -0.9)
Frederick County Yes 151.7 (144.9, 158.7) 394 falling falling trend -1.5 (-1.8, -1.3)
Kent County Yes 151.0 (132.6, 171.9) 53 falling falling trend -2.0 (-2.8, -1.2)
Garrett County Yes 140.3 (124.9, 157.3) 63 falling falling trend -0.8 (-1.4, -0.3)
Talbot County Yes 136.4 (124.0, 149.9) 99 stable stable trend -11.3 (-24.0, 3.5)
Howard County Yes 123.5 (117.7, 129.5) 368 falling falling trend -2.5 (-2.9, -2.1)
Montgomery County Yes 117.0 (114.2, 119.9) 1,365 falling falling trend -2.1 (-2.2, -1.9)
Notes:
Created by statecancerprofiles.cancer.gov on 04/02/2020 4:21 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 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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