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Death Rates Table

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Death Rate Report for Maryland by County

All Cancer Sites, 2013-2017

All Races (includes Hispanic), Both Sexes, Ages <65

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
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 Yes 49.5 (48.7, 50.3) N/A 3,333 falling falling trend -1.2 (-1.9, -0.5)
United States Yes 50.4 (50.3, 50.5) N/A 175,590 falling falling trend -1.8 (-2.4, -1.3)
Baltimore City Yes 75.8 (72.8, 79.0) 1 (1, 2) 499 falling falling trend -2.2 (-2.4, -2.0)
Wicomico County Yes 65.0 (58.1, 72.5) 2 (1, 9) 70 falling falling trend -1.4 (-2.1, -0.8)
Dorchester County Yes 64.8 (53.0, 78.7) 3 (1, 16) 24 falling falling trend -2.3 (-3.1, -1.4)
Worcester County Yes 62.7 (53.4, 73.4) 4 (1, 14) 39 stable stable trend 0.7 (-1.8, 3.2)
Caroline County Yes 61.3 (50.5, 74.0) 5 (1, 18) 24 falling falling trend -2.0 (-3.0, -1.0)
Cecil County Yes 58.6 (52.4, 65.3) 6 (2, 13) 71 falling falling trend -1.4 (-1.9, -1.0)
Washington County Yes 58.3 (53.1, 63.8) 7 (2, 12) 99 falling falling trend -1.5 (-2.1, -1.0)
Allegany County Yes 55.5 (48.2, 63.8) 8 (2, 19) 45 falling falling trend -1.7 (-2.4, -1.0)
St. Marys County Yes 55.0 (49.2, 61.3) 9 (3, 17) 67 falling falling trend -1.7 (-2.3, -1.1)
Somerset County Yes 52.4 (40.5, 67.1) 10 (2, 22) 14 falling falling trend -2.6 (-3.7, -1.5)
Baltimore County Yes 51.7 (49.6, 53.9) 11 (7, 16) 483 falling falling trend -1.9 (-2.2, -1.6)
Prince Georges County Yes 50.5 (48.5, 52.6) 12 (8, 17) 498 falling falling trend -2.2 (-2.4, -2.0)
Garrett County Yes 49.9 (39.8, 62.1) 13 (3, 22) 19 stable stable trend -0.7 (-1.9, 0.4)
Charles County Yes 49.2 (44.6, 54.1) 14 (7, 20) 86 falling falling trend -2.2 (-2.8, -1.6)
Anne Arundel County Yes 48.7 (46.3, 51.3) 15 (10, 19) 312 falling falling trend -2.1 (-2.3, -1.9)
Calvert County Yes 48.2 (42.5, 54.7) 16 (7, 21) 54 falling falling trend -2.4 (-2.9, -1.8)
Carroll County Yes 47.3 (43.0, 52.0) 17 (9, 21) 96 falling falling trend -2.2 (-2.7, -1.6)
Harford County Yes 46.4 (42.9, 50.1) 18 (11, 21) 138 falling falling trend -1.8 (-2.2, -1.5)
Queen Annes County Yes 45.2 (37.9, 53.8) 19 (8, 23) 29 falling falling trend -2.0 (-3.1, -1.0)
Frederick County Yes 43.2 (39.8, 46.9) 20 (15, 22) 122 falling falling trend -2.3 (-2.8, -1.9)
Kent County Yes 41.1 (29.4, 56.6) 21 (6, 24) 10 falling falling trend -3.1 (-4.5, -1.7)
Montgomery County Yes 35.4 (33.8, 37.0) 22 (21, 24) 402 stable stable trend 1.3 (-0.9, 3.6)
Talbot County Yes 35.0 (27.1, 44.8) 23 (16, 24) 15 falling falling trend -2.7 (-3.8, -1.6)
Howard County Yes 33.3 (30.6, 36.2) 24 (21, 24) 116 falling falling trend -3.2 (-3.7, -2.6)
Notes:
Created by statecancerprofiles.cancer.gov on 08/12/2020 11:26 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 1969-2017 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 2020 Objectives provided by the Centers for Disease Control and Prevention.



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.

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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