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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 65+

Sorted by Name
County
 sort alphabetically by name descending
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 No 913.8 (904.3, 923.3) N/A 7,235 falling falling trend -1.7 (-1.9, -1.5)
United States No 855.4 (854.2, 856.5) N/A 431,628 falling falling trend -2.0 (-2.2, -1.7)
Autauga County No 838.0 (751.5, 931.6) 56 (19, 67) 69 falling falling trend -1.7 (-2.4, -1.0)
Baldwin County No 884.4 (844.0, 926.3) 43 (25, 59) 369 falling falling trend -1.2 (-1.4, -0.9)
Barbour County No 992.0 (866.6, 1,130.4) 15 (1, 60) 46 falling falling trend -1.0 (-1.8, -0.1)
Bibb County No 970.0 (829.5, 1,127.6) 24 (1, 65) 35 stable stable trend -0.5 (-1.2, 0.1)
Blount County No 1,013.3 (927.1, 1,105.4) 9 (2, 48) 103 falling falling trend -1.0 (-1.4, -0.5)
Bullock County No 1,213.7 (984.4, 1,480.5) 1 (1, 54) 20 stable stable trend 0.4 (-0.7, 1.6)
Butler County No 853.6 (727.6, 994.9) 52 (6, 67) 33 stable stable trend -0.7 (-1.4, 0.0)
Calhoun County No 983.8 (921.3, 1,049.3) 18 (4, 44) 189 falling falling trend -1.7 (-2.1, -1.2)
Chambers County No 990.1 (882.0, 1,107.7) 16 (2, 57) 62 stable stable trend -0.5 (-1.0, 0.0)
Cherokee County No 923.6 (814.9, 1,042.8) 35 (4, 65) 53 stable stable trend -0.6 (-1.2, 0.0)
Chilton County No 912.4 (814.4, 1,018.9) 38 (6, 63) 65 falling falling trend -0.7 (-1.3, -0.2)
Choctaw County No 707.9 (576.1, 860.7) 67 (31, 67) 20 falling falling trend -2.8 (-3.5, -2.1)
Clarke County No 989.6 (866.2, 1,125.6) 17 (1, 61) 46 falling falling trend -0.9 (-1.6, -0.1)
Clay County No 887.4 (735.8, 1,060.9) 42 (2, 67) 24 stable stable trend -0.8 (-1.6, 0.0)
Cleburne County No 815.4 (671.7, 980.7) 61 (7, 67) 23 falling falling trend -1.7 (-2.6, -0.7)
Coffee County No 863.5 (776.8, 957.1) 49 (15, 65) 74 falling falling trend -1.0 (-1.5, -0.5)
Colbert County No 928.3 (847.6, 1,014.5) 33 (6, 61) 98 falling falling trend -0.8 (-1.3, -0.4)
Conecuh County No 840.6 (693.3, 1,009.9) 55 (5, 67) 23 falling falling trend -1.8 (-2.5, -1.0)
Coosa County No 845.1 (687.6, 1,028.1) 54 (4, 67) 20 falling falling trend -1.3 (-2.2, -0.4)
Covington County No 965.0 (869.5, 1,068.2) 27 (3, 58) 75 stable stable trend -0.6 (-1.1, 0.0)
Crenshaw County No 1,074.2 (899.0, 1,273.6) 5 (1, 60) 27 stable stable trend 0.2 (-0.6, 0.9)
Cullman County No 858.2 (791.8, 928.6) 50 (22, 64) 126 falling falling trend -0.6 (-1.1, -0.2)
Dale County No 970.5 (875.9, 1,072.4) 23 (3, 57) 78 falling falling trend -0.7 (-1.2, -0.2)
Dallas County No 1,003.7 (897.5, 1,119.0) 11 (1, 56) 66 falling falling trend -1.0 (-1.4, -0.5)
DeKalb County No 888.1 (812.8, 968.6) 41 (12, 64) 105 stable stable trend 1.4 (-1.1, 4.1)
Elmore County No 953.2 (874.5, 1,036.9) 29 (5, 58) 112 falling falling trend -0.7 (-1.1, -0.4)
Escambia County No 969.3 (864.3, 1,083.6) 25 (2, 59) 62 falling falling trend -1.2 (-1.7, -0.8)
Etowah County No 946.4 (884.5, 1,011.5) 30 (7, 53) 178 falling falling trend -1.1 (-1.5, -0.8)
Fayette County No 976.0 (831.4, 1,138.5) 21 (1, 64) 33 stable stable trend -0.4 (-1.1, 0.4)
Franklin County No 979.4 (860.5, 1,109.9) 19 (2, 61) 49 falling falling trend -0.7 (-1.3, -0.1)
Geneva County No 1,042.3 (920.9, 1,175.1) 7 (1, 51) 54 stable stable trend -0.4 (-1.1, 0.3)
Greene County No 788.3 (610.7, 1,001.1) 64 (4, 67) 14 falling falling trend -1.5 (-2.6, -0.4)
Hale County No 735.1 (598.4, 893.6) 66 (22, 67) 20 falling falling trend -1.2 (-2.4, -0.1)
Henry County No 875.7 (744.6, 1,023.1) 45 (5, 67) 33 stable stable trend -0.5 (-1.2, 0.2)
Houston County No 853.4 (793.7, 916.4) 53 (24, 64) 154 falling falling trend -2.3 (-3.2, -1.4)
Jackson County No 1,003.4 (915.9, 1,097.0) 12 (2, 49) 99 falling falling trend -0.8 (-1.2, -0.3)
Jefferson County No 923.2 (896.4, 950.6) 36 (20, 47) 927 falling falling trend -1.4 (-1.7, -1.1)
Lamar County No 925.7 (778.0, 1,093.3) 34 (2, 67) 28 falling falling trend -1.9 (-2.7, -1.0)
Lauderdale County No 857.2 (797.4, 920.3) 51 (25, 64) 154 falling falling trend -2.9 (-4.4, -1.4)
Lawrence County No 967.3 (857.0, 1,088.0) 26 (2, 61) 57 stable stable trend -0.6 (-1.3, 0.1)
Lee County No 1,004.1 (937.9, 1,073.6) 10 (3, 41) 178 falling falling trend -0.7 (-1.1, -0.2)
Limestone County No 806.6 (740.7, 876.8) 63 (35, 67) 114 falling falling trend -2.7 (-4.1, -1.3)
Lowndes County No 1,078.2 (876.6, 1,312.4) 4 (1, 63) 20 stable stable trend -0.4 (-1.3, 0.5)
Macon County No 999.3 (856.1, 1,159.6) 13 (1, 63) 36 falling falling trend -0.8 (-1.5, -0.1)
Madison County No 868.9 (833.5, 905.4) 47 (31, 60) 460 falling falling trend -1.5 (-1.9, -1.1)
Marengo County No 941.0 (805.1, 1,093.1) 32 (2, 65) 35 falling falling trend -1.1 (-1.8, -0.4)
Marion County No 958.9 (853.5, 1,073.8) 28 (2, 61) 60 stable stable trend -0.3 (-0.9, 0.4)
Marshall County No 898.9 (833.8, 967.8) 40 (14, 60) 143 falling falling trend -1.9 (-2.5, -1.2)
Mobile County No 916.6 (883.4, 950.7) 37 (20, 51) 588 falling falling trend -2.0 (-2.3, -1.6)
Monroe County No 882.1 (758.8, 1,019.8) 44 (5, 67) 37 falling falling trend -0.9 (-1.7, -0.2)
Montgomery County No 905.2 (859.1, 953.3) 39 (17, 56) 294 falling falling trend -1.8 (-2.2, -1.4)
Morgan County No 943.4 (883.6, 1,006.2) 31 (8, 54) 188 falling falling trend -0.5 (-1.0, -0.1)
Perry County No 817.4 (640.4, 1,028.3) 60 (3, 67) 15 falling falling trend -5.3 (-9.3, -1.2)
Pickens County No 809.1 (684.1, 950.3) 62 (10, 67) 30 falling falling trend -1.3 (-2.1, -0.4)
Pike County No 869.1 (755.5, 994.9) 46 (7, 67) 42 falling falling trend -1.4 (-2.0, -0.9)
Randolph County No 830.2 (716.2, 957.2) 57 (12, 67) 38 stable stable trend -0.7 (-1.4, 0.0)
Russell County No 1,124.4 (1,020.2, 1,236.4) 2 (1, 25) 88 stable stable trend -0.3 (-0.8, 0.2)
Shelby County No 746.8 (703.7, 791.9) 65 (56, 67) 232 falling falling trend -1.4 (-1.9, -0.9)
St. Clair County No 974.8 (901.3, 1,052.6) 22 (4, 49) 135 falling falling trend -0.8 (-1.2, -0.3)
Sumter County No 993.6 (813.6, 1,201.1) 14 (1, 66) 22 stable stable trend -0.5 (-1.5, 0.4)
Talladega County No 1,018.9 (943.9, 1,098.3) 8 (2, 42) 141 falling falling trend -0.7 (-1.1, -0.3)
Tallapoosa County No 976.5 (882.1, 1,078.2) 20 (2, 56) 80 falling falling trend -0.7 (-1.4, -0.1)
Tuscaloosa County No 825.7 (776.6, 877.1) 59 (37, 65) 218 falling falling trend -2.3 (-2.9, -1.8)
Walker County No 1,108.8 (1,023.7, 1,199.2) 3 (1, 21) 129 stable stable trend -0.2 (-0.5, 0.2)
Washington County No 829.3 (688.4, 990.5) 58 (6, 67) 25 stable stable trend -0.8 (-1.7, 0.2)
Wilcox County No 1,051.8 (858.6, 1,275.4) 6 (1, 63) 21 stable stable trend -0.7 (-1.9, 0.4)
Winston County No 867.6 (755.9, 991.2) 48 (7, 67) 44 falling falling trend -1.2 (-1.8, -0.5)
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 10:39 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.


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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