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Death Rates Table

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Death Rate Report for Alabama by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages <50

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
Alabama Yes 18.4 (17.7, 19.1) N/A 542 falling falling trend -1.6 (-1.8, -1.4)
United States Yes 14.9 (14.8, 15.0) N/A 29,891 falling falling trend -1.7 (-1.9, -1.6)
Macon County Yes 35.9 (20.4, 58.1) 1 (1, 41) 3
*
*
Marengo County Yes 30.9 (17.9, 49.5) 2 (1, 41) 3
*
*
Jackson County Yes 30.6 (22.4, 40.8) 3 (1, 25) 9 stable stable trend 0.1 (-1.4, 1.5)
Randolph County Yes 30.2 (18.1, 47.2) 4 (1, 41) 4 stable stable trend -0.7 (-2.7, 1.3)
Tallapoosa County Yes 28.8 (19.5, 41.0) 5 (1, 38) 6 stable stable trend 0.3 (-1.1, 1.7)
Pike County Yes 27.8 (17.4, 41.9) 6 (1, 41) 4
*
*
Bibb County Yes 27.3 (16.6, 42.3) 7 (1, 42) 4 falling falling trend -2.3 (-4.0, -0.5)
Clarke County Yes 24.8 (14.4, 39.7) 8 (1, 43) 3 stable stable trend -1.6 (-3.4, 0.2)
Dallas County Yes 24.1 (15.4, 35.7) 9 (1, 42) 5 stable stable trend -0.2 (-1.8, 1.5)
Escambia County Yes 24.0 (15.8, 34.9) 10 (1, 41) 5 stable stable trend 0.1 (-1.5, 1.8)
Franklin County Yes 23.9 (15.1, 35.9) 11 (1, 42) 5 stable stable trend -1.3 (-2.9, 0.4)
Etowah County Yes 22.1 (17.2, 27.9) 12 (3, 37) 14 falling falling trend -1.0 (-1.9, -0.1)
Elmore County Yes 22.0 (16.7, 28.4) 13 (3, 39) 12 falling falling trend -2.4 (-3.6, -1.2)
Cullman County Yes 21.6 (16.1, 28.2) 14 (3, 40) 11 stable stable trend -1.1 (-2.4, 0.3)
Colbert County Yes 21.2 (14.6, 29.6) 15 (2, 42) 7 stable stable trend -1.1 (-2.6, 0.3)
Walker County Yes 21.2 (15.1, 28.9) 16 (3, 41) 8 falling falling trend -1.4 (-2.6, -0.2)
Morgan County Yes 20.9 (16.4, 26.2) 17 (5, 38) 15 stable stable trend -0.8 (-2.0, 0.4)
Chambers County Yes 20.6 (12.5, 32.0) 18 (2, 43) 4 stable stable trend -1.3 (-2.9, 0.4)
Geneva County Yes 20.6 (11.7, 33.5) 19 (1, 43) 3
*
*
Marion County Yes 20.2 (11.9, 32.1) 20 (2, 43) 4
*
*
Covington County Yes 20.0 (12.3, 30.6) 21 (2, 43) 4 stable stable trend -0.4 (-1.9, 1.2)
Mobile County Yes 19.9 (17.5, 22.6) 22 (9, 34) 48 falling falling trend -1.7 (-2.2, -1.3)
Marshall County Yes 19.8 (15.0, 25.6) 23 (5, 41) 12 falling falling trend -1.4 (-2.1, -0.7)
Blount County Yes 19.7 (13.7, 27.4) 24 (4, 42) 7 stable stable trend -0.9 (-2.4, 0.6)
Calhoun County Yes 19.2 (14.8, 24.5) 25 (7, 41) 13 stable stable trend -1.0 (-2.0, 0.0)
Houston County Yes 19.2 (14.6, 24.6) 26 (7, 41) 12 stable stable trend -1.0 (-2.0, 0.0)
Montgomery County Yes 18.7 (15.6, 22.2) 27 (10, 39) 25 falling falling trend -1.6 (-2.3, -0.9)
Talladega County Yes 18.7 (13.6, 24.9) 28 (6, 42) 9 falling falling trend -1.3 (-2.5, -0.1)
St. Clair County Yes 18.5 (13.8, 24.2) 29 (6, 42) 11 falling falling trend -1.9 (-3.1, -0.6)
Jefferson County Yes 17.6 (15.8, 19.5) 30 (16, 38) 70 falling falling trend -1.8 (-2.3, -1.4)
Russell County Yes 16.6 (11.1, 23.8) 31 (6, 43) 6 falling falling trend -2.1 (-3.3, -0.9)
Autauga County Yes 16.4 (11.1, 23.5) 32 (7, 43) 6 falling falling trend -2.2 (-4.0, -0.4)
Madison County Yes 16.3 (14.0, 18.9) 33 (19, 41) 36 falling falling trend -1.5 (-2.2, -0.9)
Lauderdale County Yes 16.3 (11.8, 22.0) 34 (9, 43) 9 falling falling trend -1.5 (-2.7, -0.3)
Lee County Yes 16.3 (12.9, 20.3) 35 (14, 42) 16 falling falling trend -1.7 (-2.4, -0.9)
Coffee County Yes 16.1 (10.6, 23.4) 36 (7, 43) 5 falling falling trend -1.9 (-3.3, -0.6)
Tuscaloosa County Yes 15.9 (12.9, 19.4) 37 (16, 42) 20 falling falling trend -2.4 (-3.3, -1.6)
Baldwin County Yes 15.9 (13.0, 19.2) 38 (17, 42) 21 falling falling trend -1.9 (-2.8, -1.0)
Chilton County Yes 15.5 (9.6, 23.7) 39 (7, 43) 4
*
*
Limestone County Yes 15.4 (11.4, 20.3) 40 (12, 43) 10 stable stable trend -1.6 (-3.1, 0.1)
DeKalb County Yes 14.9 (10.2, 21.1) 41 (10, 43) 6 falling falling trend -2.6 (-3.4, -1.7)
Dale County Yes 10.3 (5.9, 16.8) 42 (23, 43) 3 falling falling trend -7.8 (-10.6, -4.9)
Shelby County Yes 9.9 (7.7, 12.6) 43 (39, 43) 14 falling falling trend -2.2 (-3.3, -1.0)
Barbour County ***
*
*
3 or fewer
*
*
Bullock County ***
*
*
3 or fewer
*
*
Butler County ***
*
*
3 or fewer
*
*
Cherokee County ***
*
*
3 or fewer
*
*
Choctaw County ***
*
*
3 or fewer
*
*
Clay County ***
*
*
3 or fewer
*
*
Cleburne County ***
*
*
3 or fewer
*
*
Conecuh County ***
*
*
3 or fewer
*
*
Coosa County ***
*
*
3 or fewer
*
*
Crenshaw County ***
*
*
3 or fewer
*
*
Fayette County ***
*
*
3 or fewer
*
*
Greene County ***
*
*
3 or fewer
*
*
Hale County ***
*
*
3 or fewer
*
*
Henry County ***
*
*
3 or fewer
*
*
Lamar County ***
*
*
3 or fewer
*
*
Lawrence County ***
*
*
3 or fewer
*
*
Lowndes County ***
*
*
3 or fewer
*
*
Monroe County ***
*
*
3 or fewer
*
*
Perry County ***
*
*
3 or fewer
*
*
Pickens County ***
*
*
3 or fewer
*
*
Sumter County ***
*
*
3 or fewer
*
*
Washington County ***
*
*
3 or fewer
*
*
Wilcox County ***
*
*
3 or fewer
*
*
Winston County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 5:19 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 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


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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