Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Maryland by County

Colon & Rectum, 2018-2022

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

Sorted by CI*Rank

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 8.9?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank 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 N/A No 12.7 (12.4, 13.1) N/A 962 falling falling trend -1.6 (-2.2, -0.8)
United States N/A No 12.9 (12.8, 12.9) N/A 52,325 falling falling trend -1.2 (-1.7, -0.8)
Howard County Urban Yes 8.8 (7.5, 10.3) 24 (19, 24) 32 falling falling trend -3.8 (-4.4, -3.0)
Queen Annes County Urban No 9.6 (6.5, 13.8) 23 (7, 24) 7 falling falling trend -3.4 (-5.1, -1.7)
Worcester County Rural No 9.8 (7.1, 13.5) 22 (8, 24) 10 falling falling trend -3.6 (-4.6, -2.6)
Talbot County Rural No 10.3 (7.1, 15.0) 21 (4, 24) 8 falling falling trend -4.2 (-6.1, -2.8)
Montgomery County Urban No 10.5 (9.7, 11.3) 20 (16, 23) 137 stable stable trend 1.6 (-1.4, 7.3)
Frederick County Urban No 11.5 (9.9, 13.3) 19 (9, 23) 38 falling falling trend -3.3 (-3.8, -2.7)
Somerset County Urban No 11.7 (6.8, 19.0) 18 (1, 24) 4 falling falling trend -3.7 (-6.1, -1.8)
Calvert County Urban No 12.1 (9.4, 15.4) 17 (3, 24) 14 falling falling trend -3.6 (-4.6, -2.5)
Anne Arundel County Urban No 12.3 (11.2, 13.6) 16 (8, 20) 85 falling falling trend -3.1 (-3.7, -2.5)
St. Marys County Urban No 13.0 (10.2, 16.3) 15 (2, 23) 16 stable stable trend -0.5 (-3.0, 7.4)
Prince Georges County Urban No 13.1 (12.1, 14.1) 14 (7, 19) 138 falling falling trend -3.5 (-5.5, -3.0)
Charles County Urban No 13.1 (10.8, 15.8) 13 (2, 21) 24 falling falling trend -4.8 (-10.7, -3.2)
Wicomico County Urban No 13.7 (10.8, 17.2) 12 (1, 22) 16 falling falling trend -2.7 (-3.6, -1.7)
Baltimore County Urban No 13.8 (12.8, 14.8) 11 (5, 17) 156 stable stable trend -0.6 (-2.8, 5.3)
Kent County Rural No 14.2 (8.8, 22.6) 10 (1, 24) 5 falling falling trend -2.1 (-4.0, -0.3)
Carroll County Urban No 14.3 (12.1, 16.8) 9 (1, 19) 33 falling falling trend -3.1 (-3.8, -2.4)
Harford County Urban No 14.6 (12.8, 16.6) 8 (2, 17) 49 falling falling trend -2.2 (-2.9, -1.4)
Cecil County Urban No 14.7 (11.7, 18.2) 7 (1, 20) 18 falling falling trend -2.2 (-3.0, -1.3)
Washington County Urban No 14.7 (12.4, 17.3) 6 (1, 19) 31 falling falling trend -2.4 (-3.1, -1.7)
Allegany County Rural No 15.2 (11.8, 19.4) 5 (1, 21) 15 falling falling trend -2.4 (-3.3, -1.6)
Garrett County Rural No 15.5 (10.8, 22.0) 4 (1, 23) 7 falling falling trend -1.8 (-3.1, -0.5)
Caroline County Rural No 15.6 (10.6, 22.4) 3 (1, 23) 6 falling falling trend -3.1 (-4.4, -2.1)
Baltimore City Urban No 15.8 (14.4, 17.3) 2 (1, 11) 104 falling falling trend -2.4 (-2.9, -2.1)
Dorchester County Rural No 18.6 (13.2, 25.6) 1 (1, 18) 9 falling falling trend -2.0 (-3.5, -0.7)
Notes:
Created by statecancerprofiles.cancer.gov on 12/13/2024 2:44 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.


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.

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.

Return to Top