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Death Rates Table

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Death Rate Report for Maryland by County

All Cancer Sites, 2016-2020

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

Sorted by CI*Rank
County
 sort alphabetically by name ascending
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 No 148.9 (147.6, 150.1) N/A 10,835 falling falling trend -1.9 (-2.0, -1.8)
United States No 149.4 (149.3, 149.6) N/A 599,666 falling falling trend -2.0 (-2.2, -1.8)
Baltimore City No 191.3 (186.6, 196.2) 1 (1, 4) 1,287 falling falling trend -1.7 (-1.9, -1.5)
Wicomico County No 186.6 (175.8, 197.9) 2 (1, 6) 231 falling falling trend -1.2 (-1.6, -0.8)
Somerset County No 186.5 (165.7, 209.3) 3 (1, 12) 61 falling falling trend -1.7 (-2.2, -1.2)
Dorchester County No 182.2 (165.2, 200.7) 4 (1, 12) 91 falling falling trend -1.6 (-2.0, -1.2)
Cecil County No 179.4 (168.8, 190.6) 5 (1, 8) 225 falling falling trend -1.6 (-1.9, -1.2)
Caroline County No 175.0 (157.5, 194.1) 6 (1, 15) 75 falling falling trend -1.5 (-2.0, -1.0)
Calvert County No 166.2 (155.3, 177.7) 7 (4, 15) 183 falling falling trend -1.5 (-2.0, -1.1)
St. Marys County No 164.7 (154.4, 175.5) 8 (4, 15) 198 falling falling trend -1.1 (-1.5, -0.8)
Washington County No 161.7 (153.8, 170.0) 9 (5, 16) 324 falling falling trend -1.2 (-1.4, -1.0)
Baltimore County No 161.5 (158.1, 165.0) 10 (6, 13) 1,785 falling falling trend -1.5 (-1.7, -1.3)
Allegany County No 159.8 (149.0, 171.2) 11 (5, 18) 172 falling falling trend -1.1 (-1.4, -0.8)
Charles County No 157.8 (149.1, 166.8) 12 (6, 18) 262 falling falling trend -1.8 (-2.2, -1.5)
Harford County No 155.7 (149.5, 162.1) 13 (8, 18) 494 falling falling trend -1.5 (-1.6, -1.3)
Carroll County No 152.7 (145.3, 160.4) 14 (8, 19) 335 falling falling trend -1.5 (-1.8, -1.3)
Worcester County No 152.5 (141.2, 164.7) 15 (6, 20) 153 falling falling trend -1.6 (-1.8, -1.3)
Anne Arundel County No 149.6 (145.4, 153.9) 16 (12, 19) 997 falling falling trend -2.3 (-2.8, -1.8)
Prince Georges County No 147.4 (143.9, 151.0) 17 (14, 19) 1,409 falling falling trend -2.2 (-2.3, -2.0)
Queen Annes County No 142.9 (130.5, 156.3) 18 (10, 21) 102 falling falling trend -1.7 (-2.2, -1.2)
Kent County No 139.5 (122.5, 158.9) 19 (8, 22) 52 falling falling trend -2.1 (-2.7, -1.5)
Frederick County No 139.0 (133.0, 145.3) 20 (16, 21) 410 falling falling trend -1.6 (-1.9, -1.4)
Talbot County No 123.9 (112.5, 136.6) 21 (19, 24) 97 falling falling trend -1.8 (-2.2, -1.3)
Garrett County No 123.7 (109.7, 139.4) 22 (18, 24) 60 stable stable trend -11.4 (-24.8, 4.4)
Howard County Yes 115.2 (110.1, 120.5) 23 (21, 24) 397 falling falling trend -2.3 (-2.6, -2.1)
Montgomery County Yes 111.8 (109.2, 114.5) 24 (22, 24) 1,435 falling falling trend -1.9 (-2.1, -1.7)
Notes:
Created by statecancerprofiles.cancer.gov on 11/27/2022 11:26 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.



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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