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Death Rates Table

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Death Rate Report for Alabama by County

All Cancer Sites, 2011-2015

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

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 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 20.0 (19.3, 20.7) 605 falling falling trend -2.6 (-3.8, -1.5)
United States Yes 16.3 (16.2, 16.3) 33,020 falling falling trend -2.1 (-2.2, -2.0)
Shelby County Yes 14.4 (11.7, 17.4) 20 falling falling trend -1.6 (-3.1, -0.1)
Cullman County Yes 15.6 (11.1, 21.3) 8 falling falling trend -2.2 (-3.8, -0.5)
Madison County Yes 15.7 (13.4, 18.1) 36 falling falling trend -1.8 (-2.7, -1.0)
Colbert County Yes 16.4 (10.9, 23.8) 6 stable stable trend -1.7 (-3.5, 0.2)
Montgomery County Yes 16.7 (13.9, 20.0) 24 falling falling trend -1.7 (-2.6, -0.8)
Elmore County Yes 16.9 (12.3, 22.6) 9 falling falling trend -3.6 (-5.2, -2.0)
Tuscaloosa County Yes 17.0 (13.7, 20.7) 19 falling falling trend -2.7 (-3.8, -1.6)
Blount County Yes 17.0 (11.6, 24.0) 6 stable stable trend -1.1 (-3.2, 1.0)
Limestone County Yes 17.5 (13.2, 22.8) 11 stable stable trend -1.4 (-3.5, 0.7)
DeKalb County Yes 17.5 (12.5, 23.9) 8 falling falling trend -2.4 (-3.4, -1.4)
Baldwin County Yes 17.6 (14.4, 21.3) 21 falling falling trend -2.0 (-3.1, -0.9)
Dale County Yes 17.6 (11.6, 25.7) 5 stable stable trend -1.8 (-3.7, 0.2)
Coffee County Yes 17.7 (12.0, 25.3) 6 stable stable trend -1.8 (-3.5, 0.0)
Lee County Yes 18.0 (14.2, 22.3) 16 falling falling trend -1.5 (-2.6, -0.4)
Morgan County Yes 19.2 (15.1, 24.1) 15 stable stable trend -1.0 (-2.6, 0.6)
Calhoun County Yes 19.5 (15.1, 24.6) 14 stable stable trend -0.7 (-2.0, 0.7)
Franklin County Yes 19.5 (11.9, 30.1) 4 stable stable trend -1.4 (-3.7, 1.0)
Geneva County Yes 20.0 (11.6, 32.2) 3
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*
Jefferson County Yes 20.1 (18.2, 22.2) 82 falling falling trend -1.7 (-2.3, -1.1)
Bibb County Yes 20.2 (11.5, 33.0) 3 falling falling trend -3.6 (-6.1, -1.1)
Lauderdale County Yes 20.8 (15.8, 26.9) 12 stable stable trend -1.5 (-3.0, 0.1)
Mobile County Yes 21.1 (18.6, 23.8) 53 falling falling trend -1.7 (-2.3, -1.1)
St. Clair County Yes 21.7 (16.7, 27.8) 13 stable stable trend 11.8 (-2.1, 27.7)
Talladega County Yes 21.7 (16.4, 28.3) 11 stable stable trend -1.0 (-2.6, 0.6)
Winston County Yes 21.8 (12.7, 35.3) 3
*
*
Barbour County Yes 21.9 (13.1, 34.3) 4 stable stable trend -1.6 (-3.7, 0.5)
Marion County Yes 21.9 (13.5, 33.6) 4
*
*
Escambia County Yes 22.1 (14.6, 32.2) 5 stable stable trend 0.1 (-2.1, 2.3)
Walker County Yes 22.5 (16.4, 30.2) 9 stable stable trend -1.3 (-2.9, 0.3)
Autauga County Yes 22.7 (16.4, 30.6) 9 stable stable trend -1.6 (-4.0, 0.8)
Marshall County Yes 23.1 (18.0, 29.3) 14 falling falling trend -1.2 (-2.2, -0.2)
Chambers County Yes 23.5 (15.1, 34.7) 5 stable stable trend -1.1 (-3.2, 1.1)
Chilton County Yes 23.6 (16.3, 33.2) 7
*
*
Clarke County Yes 24.1 (14.5, 37.8) 4 falling falling trend -2.7 (-4.6, -0.7)
Russell County Yes 24.9 (18.2, 33.3) 9 stable stable trend -1.4 (-2.9, 0.1)
Etowah County Yes 25.2 (20.1, 31.3) 17 stable stable trend -0.9 (-2.1, 0.3)
Houston County Yes 25.5 (20.3, 31.7) 16 stable stable trend -0.6 (-1.9, 0.7)
Jackson County Yes 26.3 (19.0, 35.5) 9 stable stable trend -0.5 (-2.4, 1.4)
Tallapoosa County Yes 27.3 (18.7, 38.5) 7 stable stable trend -0.4 (-2.0, 1.3)
Covington County Yes 28.8 (19.5, 40.9) 6 stable stable trend 0.1 (-1.8, 2.0)
Cherokee County Yes 29.4 (18.8, 44.1) 5 stable stable trend 0.9 (-1.4, 3.2)
Lawrence County Yes 33.0 (23.1, 45.7) 7 stable stable trend 0.4 (-1.7, 2.5)
Monroe County Yes 35.7 (22.8, 53.3) 5
*
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Dallas County Yes 36.6 (26.5, 49.1) 9 stable stable trend 0.6 (-1.5, 2.8)
Marengo County Yes 39.7 (25.6, 58.7) 5
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Bullock County ***
*
3 or fewer
*
*
Butler 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
*
*
Lowndes County ***
*
3 or fewer
*
*
Macon County ***
*
3 or fewer
*
*
Perry County ***
*
3 or fewer
*
*
Pickens County ***
*
3 or fewer
*
*
Pike County ***
*
3 or fewer
*
*
Randolph County ***
*
3 or fewer
*
*
Sumter County ***
*
3 or fewer
*
*
Washington County ***
*
3 or fewer
*
*
Wilcox County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/22/2019 6:11 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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

Healthy People 2020 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 availablility, 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.

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