Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Maryland by County

Lung & Bronchus, 2016-2020

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

Sorted by Count
County
 sort alphabetically by name ascending
Met Healthy People Objective of 25.1?
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 ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Maryland No 33.5 (32.9, 34.1) N/A 2,460 falling falling trend -6.1 (-8.4, -3.7)
United States No 35.0 (34.9, 35.0) N/A 142,497 falling falling trend -4.8 (-5.1, -4.6)
Baltimore County No 39.1 (37.4, 40.8) 10 (7, 15) 435 falling falling trend -3.0 (-3.5, -2.4)
Baltimore City No 47.5 (45.2, 49.9) 4 (2, 8) 326 falling falling trend -3.2 (-3.9, -2.6)
Prince Georges County No 27.7 (26.2, 29.3) 20 (18, 22) 266 falling falling trend -10.0 (-15.8, -3.7)
Montgomery County Yes 18.7 (17.7, 19.9) 24 (22, 24) 243 falling falling trend -3.0 (-3.3, -2.7)
Anne Arundel County No 35.5 (33.5, 37.7) 15 (11, 18) 238 falling falling trend -4.9 (-5.9, -3.9)
Harford County No 38.8 (35.7, 42.0) 11 (6, 17) 123 falling falling trend -3.1 (-3.9, -2.4)
Frederick County No 29.6 (26.8, 32.5) 19 (17, 22) 88 falling falling trend -4.8 (-6.3, -3.3)
Washington County No 41.0 (37.1, 45.2) 9 (5, 16) 83 falling falling trend -1.5 (-2.1, -0.9)
Carroll County No 36.9 (33.4, 40.8) 14 (7, 18) 82 falling falling trend -3.4 (-4.7, -2.2)
Cecil County No 56.3 (50.5, 62.7) 2 (1, 4) 72 falling falling trend -1.2 (-1.8, -0.7)
Howard County Yes 20.4 (18.3, 22.8) 23 (21, 24) 69 falling falling trend -3.6 (-4.1, -3.1)
Wicomico County No 49.9 (44.4, 55.8) 3 (1, 8) 62 falling falling trend -1.8 (-2.5, -1.0)
Charles County No 33.9 (29.9, 38.2) 18 (10, 20) 56 falling falling trend -3.1 (-3.8, -2.3)
St. Marys County No 42.6 (37.5, 48.3) 8 (3, 16) 52 stable stable trend -11.2 (-22.3, 1.5)
Allegany County No 44.7 (39.1, 50.9) 6 (2, 14) 48 falling falling trend -1.3 (-1.9, -0.6)
Calvert County No 38.6 (33.5, 44.4) 12 (5, 18) 43 falling falling trend -2.3 (-3.0, -1.6)
Worcester County No 38.1 (32.9, 44.2) 13 (5, 18) 40 falling falling trend -7.2 (-11.3, -3.0)
Queen Annes County No 35.4 (29.5, 42.3) 16 (6, 21) 26 falling falling trend -2.7 (-3.6, -1.8)
Dorchester County No 45.1 (37.1, 54.7) 5 (1, 17) 23 falling falling trend -1.9 (-2.6, -1.2)
Talbot County No 26.2 (21.3, 32.5) 21 (17, 23) 21 falling falling trend -4.6 (-6.7, -2.3)
Somerset County No 57.9 (46.8, 71.2) 1 (1, 8) 20 falling falling trend -1.9 (-2.7, -1.1)
Caroline County No 43.7 (35.2, 53.7) 7 (2, 18) 19 falling falling trend -1.6 (-2.6, -0.6)
Kent County No 35.1 (27.1, 45.7) 17 (5, 22) 13 falling falling trend -2.5 (-3.6, -1.3)
Garrett County Yes 24.1 (18.2, 31.7) 22 (18, 24) 12 falling falling trend -9.3 (-15.2, -3.0)
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 7:37 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.


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