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Death Rates Table

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Death Rate Report for Alabama by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages <65

Sorted by Count

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban 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 ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Alabama N/A Yes 54.8 (53.9, 55.7) N/A 3,047 falling falling trend -2.4 (-3.9, -1.8)
United States N/A Yes 45.0 (44.9, 45.1) N/A 161,722 falling falling trend -2.1 (-2.4, -1.9)
Jefferson County Urban Yes 51.7 (49.3, 54.2) 53 (41, 60) 372 falling falling trend -3.7 (-6.8, -1.9)
Mobile County Urban Yes 60.2 (56.9, 63.6) 37 (21, 48) 271 falling falling trend -6.0 (-9.6, -2.1)
Madison County Urban Yes 43.6 (40.8, 46.6) 64 (56, 66) 194 falling falling trend -2.3 (-3.8, -1.8)
Montgomery County Urban Yes 56.2 (51.8, 60.8) 46 (25, 57) 133 stable stable trend 5.2 (-1.8, 9.0)
Baldwin County Urban Yes 46.8 (43.1, 50.9) 61 (48, 66) 129 falling falling trend -1.6 (-2.0, -1.1)
Tuscaloosa County Urban Yes 45.3 (41.3, 49.6) 63 (51, 66) 100 falling falling trend -2.1 (-2.6, -1.5)
Shelby County Urban Yes 33.8 (30.5, 37.3) 67 (64, 67) 84 falling falling trend -2.2 (-2.8, -1.5)
Calhoun County Urban Yes 63.4 (57.1, 70.2) 28 (10, 50) 81 falling falling trend -1.2 (-1.8, -0.6)
Lee County Urban Yes 47.9 (43.2, 52.9) 59 (43, 66) 80 falling falling trend -1.7 (-2.2, -1.1)
Etowah County Urban Yes 67.0 (60.3, 74.3) 20 (7, 45) 79 falling falling trend -0.9 (-1.3, -0.5)
Morgan County Urban Yes 56.7 (51.1, 62.9) 44 (20, 58) 79 falling falling trend -0.9 (-1.5, -0.3)
Houston County Urban Yes 53.6 (47.5, 60.2) 52 (25, 63) 62 falling falling trend -1.3 (-1.9, -0.7)
Marshall County Rural Yes 57.1 (50.6, 64.3) 43 (17, 60) 60 falling falling trend -1.2 (-1.7, -0.7)
Talladega County Rural Yes 65.3 (57.7, 73.6) 24 (6, 50) 60 falling falling trend -0.9 (-1.5, -0.4)
St. Clair County Urban Yes 55.9 (49.6, 63.0) 48 (19, 61) 60 falling falling trend -1.9 (-2.6, -1.2)
Elmore County Urban Yes 58.8 (52.0, 66.3) 39 (14, 58) 58 falling falling trend -1.9 (-2.5, -1.2)
Limestone County Urban Yes 46.4 (41.0, 52.3) 62 (43, 66) 57 falling falling trend -1.3 (-2.3, -0.1)
Cullman County Rural Yes 56.0 (49.2, 63.4) 47 (20, 61) 55 falling falling trend -1.3 (-1.8, -0.9)
Lauderdale County Urban Yes 55.2 (48.5, 62.7) 49 (19, 63) 55 falling falling trend -1.2 (-1.7, -0.7)
Walker County Urban Yes 69.1 (60.6, 78.6) 17 (3, 46) 52 falling falling trend -0.8 (-1.4, -0.2)
Jackson County Rural Yes 72.0 (62.4, 82.8) 13 (2, 43) 45 stable stable trend -0.5 (-1.3, 0.2)
Colbert County Urban Yes 67.1 (58.0, 77.2) 19 (4, 50) 44 falling falling trend -1.2 (-1.9, -0.4)
Russell County Urban Yes 63.2 (54.5, 73.1) 29 (6, 56) 41 falling falling trend -1.7 (-2.3, -1.1)
DeKalb County Rural Yes 48.3 (41.6, 55.9) 58 (33, 66) 39 falling falling trend -1.7 (-6.4, -1.1)
Blount County Urban Yes 58.3 (50.1, 67.7) 40 (11, 60) 38 falling falling trend -0.8 (-1.4, -0.1)
Covington County Rural Yes 74.4 (63.0, 87.5) 10 (1, 45) 34 stable stable trend -0.3 (-1.0, 0.5)
Autauga County Urban Yes 49.8 (42.3, 58.3) 54 (27, 66) 33 falling falling trend -2.1 (-2.9, -1.3)
Escambia County Rural Yes 82.5 (70.0, 96.7) 4 (1, 28) 33 stable stable trend -0.1 (-0.9, 0.7)
Coffee County Rural Yes 55.0 (46.6, 64.5) 50 (16, 65) 32 falling falling trend -1.4 (-2.1, -0.8)
Chilton County Urban Yes 59.3 (49.9, 70.1) 38 (8, 62) 30 stable stable trend -0.9 (-1.7, 0.0)
Tallapoosa County Rural Yes 63.0 (52.2, 75.6) 30 (4, 60) 29 stable stable trend -0.6 (-1.4, 0.2)
Dale County Rural Yes 49.0 (40.8, 58.4) 57 (28, 66) 28 falling falling trend -3.9 (-11.8, -2.2)
Dallas County Rural Yes 63.0 (51.9, 75.9) 31 (5, 61) 26 falling falling trend -5.9 (-16.0, -1.3)
Lawrence County Urban Yes 64.2 (53.2, 77.1) 26 (4, 58) 26 stable stable trend -0.8 (-1.5, 0.0)
Chambers County Rural Yes 57.3 (47.0, 69.5) 42 (9, 65) 24 falling falling trend -1.6 (-2.4, -0.9)
Marion County Rural Yes 61.3 (50.0, 74.7) 33 (5, 63) 22 stable stable trend -0.8 (-1.6, 0.0)
Pike County Rural Yes 69.8 (56.5, 85.5) 15 (1, 55) 21 stable stable trend -0.6 (-1.6, 0.5)
Cherokee County Rural Yes 64.1 (51.5, 79.3) 27 (3, 63) 20 stable stable trend 15.0 (-2.7, 27.4)
Barbour County Rural Yes 72.2 (58.3, 88.7) 12 (1, 56) 20 stable stable trend 1.2 (-1.1, 11.4)
Franklin County Rural Yes 58.3 (47.2, 71.5) 41 (7, 65) 20 falling falling trend -1.7 (-2.5, -0.9)
Clarke County Rural Yes 76.3 (61.0, 94.6) 7 (1, 52) 19 stable stable trend -1.0 (-2.3, 0.2)
Geneva County Urban Yes 60.6 (47.9, 75.7) 35 (4, 65) 18 stable stable trend -0.8 (-1.8, 0.1)
Randolph County Rural Yes 61.4 (47.7, 78.2) 32 (3, 66) 16 stable stable trend -0.8 (-2.0, 0.5)
Monroe County Rural Yes 64.5 (49.8, 82.7) 25 (1, 65) 15 stable stable trend -0.9 (-1.9, 0.2)
Macon County Urban Yes 74.4 (57.1, 95.7) 9 (1, 61) 15 falling falling trend -1.8 (-2.6, -1.0)
Bibb County Urban Yes 60.7 (47.2, 77.1) 34 (4, 65) 15 falling falling trend -1.7 (-2.7, -0.7)
Butler County Rural Yes 69.2 (53.3, 88.7) 16 (1, 62) 15 stable stable trend -0.9 (-2.1, 0.2)
Marengo County Rural Yes 66.8 (51.5, 85.6) 22 (1, 63) 15 stable stable trend -0.5 (-1.7, 0.6)
Winston County Rural Yes 49.7 (38.2, 64.1) 56 (13, 67) 14 falling falling trend -1.6 (-2.6, -0.6)
Henry County Urban Yes 66.5 (50.8, 86.3) 23 (1, 64) 13 stable stable trend -1.1 (-2.2, 0.1)
Hale County Urban Yes 77.1 (58.4, 100.3) 6 (1, 57) 13 stable stable trend -1.1 (-2.4, 0.1)
Crenshaw County Rural Yes 84.5 (63.7, 110.4) 2 (1, 52) 13 stable stable trend -0.8 (-2.1, 0.5)
Fayette County Rural Yes 72.2 (54.3, 94.5) 11 (1, 62) 12 stable stable trend -0.9 (-1.9, 0.2)
Lamar County Rural Yes 70.2 (52.7, 92.5) 14 (1, 64) 12 stable stable trend -0.6 (-2.0, 0.7)
Pickens County Urban Yes 49.8 (37.1, 65.9) 55 (12, 67) 11 falling falling trend -4.5 (-11.3, -2.6)
Cleburne County Rural Yes 60.5 (45.1, 80.0) 36 (3, 66) 11 stable stable trend -0.6 (-1.9, 0.9)
Clay County Rural Yes 56.4 (41.2, 76.3) 45 (3, 67) 10 stable stable trend -0.3 (-1.9, 1.5)
Wilcox County Rural Yes 94.9 (69.0, 127.6) 1 (1, 43) 10 stable stable trend -0.5 (-1.9, 1.1)
Conecuh County Rural Yes 76.0 (54.5, 103.8) 8 (1, 64) 10 falling falling trend -1.2 (-2.3, -0.2)
Sumter County Rural Yes 84.1 (59.6, 115.5) 3 (1, 61) 10 stable stable trend -0.8 (-2.4, 0.8)
Washington County Rural Yes 47.9 (34.2, 65.9) 60 (11, 67) 9 stable stable trend -1.2 (-2.5, 0.2)
Coosa County Rural Yes 66.9 (46.2, 95.0) 21 (1, 66) 8 stable stable trend -0.5 (-1.8, 0.9)
Choctaw County Rural Yes 43.0 (29.6, 61.7) 65 (19, 67) 7 falling falling trend -2.0 (-3.5, -0.7)
Greene County Urban Yes 81.0 (54.8, 116.6) 5 (1, 65) 7 stable stable trend -1.0 (-2.4, 0.3)
Lowndes County Urban Yes 54.3 (35.9, 79.7) 51 (3, 67) 6 falling falling trend -30.8 (-51.0, -4.2)
Perry County Rural Yes 67.5 (44.1, 99.8) 18 (1, 67) 6 stable stable trend -0.9 (-2.3, 0.5)
Bullock County Rural Yes 38.7 (23.9, 60.1) 66 (20, 67) 5 falling falling trend -2.5 (-4.3, -0.9)
Notes:
Created by statecancerprofiles.cancer.gov on 10/22/2024 4:00 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.

Φ Rural-Urban Continuum Codes provided by the USDA.


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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