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Death Rates Table

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Death Rate Report for Alabama by County

Pancreas, 2016-2020

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

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
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 *** 11.8 (11.5, 12.2) N/A 749 rising rising trend 0.4 (0.3, 0.6)
United States *** 11.1 (11.0, 11.1) N/A 44,868 stable stable trend 0.1 (0.0, 0.2)
Covington County *** 12.9 (9.1, 18.0) 14 (1, 47) 8 stable stable trend -1.1 (-2.8, 0.5)
Shelby County *** 8.7 (7.1, 10.5) 46 (28, 47) 22 stable stable trend -0.8 (-2.1, 0.6)
Chilton County *** 9.7 (6.3, 14.3) 40 (6, 47) 5 stable stable trend -0.7 (-2.4, 0.9)
Talladega County *** 12.7 (9.8, 16.2) 16 (2, 45) 14 stable stable trend -0.4 (-1.4, 0.6)
Escambia County *** 12.6 (8.7, 18.0) 17 (1, 47) 7 stable stable trend -0.3 (-1.8, 1.2)
Mobile County *** 12.2 (10.9, 13.7) 21 (8, 38) 62 stable stable trend -0.2 (-0.7, 0.3)
Blount County *** 13.3 (10.0, 17.6) 11 (1, 44) 11 stable stable trend -0.1 (-1.7, 1.5)
Etowah County *** 10.9 (8.6, 13.8) 34 (7, 47) 15 stable stable trend -0.1 (-1.3, 1.0)
Jefferson County *** 11.9 (10.8, 13.0) 25 (11, 38) 97 stable stable trend -0.1 (-0.5, 0.4)
Marshall County *** 9.6 (7.3, 12.4) 41 (13, 47) 12 stable stable trend -0.1 (-1.5, 1.3)
Pike County *** 11.8 (7.5, 18.0) 27 (1, 47) 5 stable stable trend 0.1 (-1.8, 2.0)
DeKalb County *** 9.6 (6.9, 12.9) 42 (10, 47) 9 stable stable trend 0.3 (-1.1, 1.7)
Madison County *** 11.9 (10.4, 13.4) 26 (9, 40) 52 stable stable trend 0.4 (-0.3, 1.1)
Tuscaloosa County *** 10.5 (8.7, 12.7) 37 (12, 46) 23 stable stable trend 0.4 (-0.9, 1.7)
Autauga County *** 9.9 (6.9, 13.9) 38 (6, 47) 7 stable stable trend 0.5 (-2.0, 3.1)
Baldwin County *** 12.2 (10.5, 14.1) 22 (7, 40) 39 stable stable trend 0.5 (-0.7, 1.7)
Jackson County *** 13.5 (9.9, 18.0) 10 (1, 45) 10 stable stable trend 0.5 (-1.1, 2.2)
Montgomery County *** 12.7 (10.8, 14.8) 15 (4, 39) 34 stable stable trend 0.5 (-0.3, 1.3)
Cullman County *** 11.2 (8.6, 14.4) 32 (6, 47) 13 stable stable trend 0.6 (-0.7, 1.9)
Dallas County *** 11.8 (8.0, 17.0) 28 (2, 47) 6 stable stable trend 0.6 (-1.2, 2.5)
Houston County *** 12.3 (9.8, 15.3) 19 (4, 44) 17 stable stable trend 0.6 (-0.7, 1.9)
Morgan County *** 12.1 (9.8, 14.8) 24 (5, 44) 20 stable stable trend 0.6 (-0.6, 1.9)
Russell County *** 9.0 (6.0, 13.0) 45 (9, 47) 6 stable stable trend 0.6 (-1.0, 2.3)
St. Clair County *** 11.7 (8.9, 15.0) 29 (4, 46) 13 stable stable trend 0.6 (-0.9, 2.1)
Colbert County *** 11.6 (8.5, 15.6) 31 (4, 47) 9 stable stable trend 0.7 (-0.4, 1.9)
Elmore County *** 16.4 (12.9, 20.6) 5 (1, 32) 16 stable stable trend 1.0 (-0.3, 2.3)
Chambers County *** 9.8 (6.2, 15.1) 39 (4, 47) 5 stable stable trend 1.1 (-0.7, 3.0)
Lauderdale County *** 13.2 (10.6, 16.3) 12 (2, 41) 18 stable stable trend 1.1 (-0.2, 2.4)
Tallapoosa County *** 16.8 (12.3, 22.6) 3 (1, 37) 10 stable stable trend 1.3 (-0.2, 2.8)
Dale County *** 14.9 (11.0, 20.0) 6 (1, 43) 10 stable stable trend 1.5 (-0.1, 3.1)
Walker County *** 14.5 (11.0, 18.7) 8 (1, 40) 13 rising rising trend 1.6 (0.4, 2.8)
Calhoun County *** 12.4 (10.0, 15.3) 18 (3, 44) 18 rising rising trend 1.8 (0.5, 3.1)
Lee County *** 12.2 (9.8, 15.1) 20 (4, 44) 19 rising rising trend 1.8 (0.2, 3.5)
Coffee County *** 14.0 (10.2, 18.9) 9 (1, 44) 9 rising rising trend 1.9 (0.5, 3.4)
Lawrence County *** 9.3 (5.8, 14.5) 44 (5, 47) 4 stable stable trend 21.2 (-18.1, 79.2)
Barbour County *** 16.7 (11.1, 24.5) 4 (1, 44) 6
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Butler County *** 10.7 (6.0, 18.2) 36 (1, 47) 3
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Cherokee County *** 11.0 (6.7, 17.5) 33 (2, 47) 5
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Clarke County *** 17.1 (11.7, 24.6) 2 (1, 43) 6
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Franklin County *** 12.1 (7.9, 18.1) 23 (1, 47) 5
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Geneva County *** 10.8 (6.8, 16.7) 35 (2, 47) 5
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*
Henry County *** 14.6 (9.0, 23.3) 7 (1, 47) 4
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Limestone County *** 11.6 (9.0, 14.8) 30 (4, 46) 14
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Marion County *** 9.5 (5.9, 14.9) 43 (5, 47) 4
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*
Pickens County *** 18.4 (11.9, 27.6) 1 (1, 43) 5
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Randolph County *** 8.4 (4.8, 14.4) 47 (6, 47) 3
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Winston County *** 12.9 (8.1, 20.0) 13 (1, 47) 5
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Bibb County ***
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3 or fewer
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*
Bullock County ***
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3 or fewer
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*
Choctaw County ***
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3 or fewer
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*
Clay County ***
*
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3 or fewer
*
*
Cleburne County ***
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3 or fewer
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*
Conecuh County ***
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3 or fewer
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*
Coosa County ***
*
*
3 or fewer
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*
Crenshaw County ***
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*
3 or fewer
*
*
Fayette County ***
*
*
3 or fewer
*
*
Greene County ***
*
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3 or fewer
*
*
Hale County ***
*
*
3 or fewer
*
*
Lamar County ***
*
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3 or fewer
*
*
Lowndes County ***
*
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3 or fewer
*
*
Macon County ***
*
*
3 or fewer
*
*
Marengo County ***
*
*
3 or fewer
*
*
Monroe County ***
*
*
3 or fewer
*
*
Perry County ***
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*
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 03/29/2024 2:50 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.

*** No Healthy People 2030 Objective for this cancer.
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.
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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