Mortality > Table
Death Rates Table
County |
Met Healthy People Objective of 122.7? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) |
CI*Rank⋔ (95% Confidence Interval) |
Average Annual Count |
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval) |
---|---|---|---|---|---|---|
Alabama | No | 913.8 (904.3, 923.3) | N/A | 7,235 | falling | -1.7 (-1.9, -1.5) |
United States | No | 855.4 (854.2, 856.5) | N/A | 431,628 | falling | -2.0 (-2.2, -1.7) |
Greene County | No | 788.3 (610.7, 1,001.1) | 64 (4, 67) | 14 | falling | -1.5 (-2.6, -0.4) |
Perry County | No | 817.4 (640.4, 1,028.3) | 60 (3, 67) | 15 | falling | -5.3 (-9.3, -1.2) |
Bullock County | No | 1,213.7 (984.4, 1,480.5) | 1 (1, 54) | 20 | stable | 0.4 (-0.7, 1.6) |
Lowndes County | No | 1,078.2 (876.6, 1,312.4) | 4 (1, 63) | 20 | stable | -0.4 (-1.3, 0.5) |
Choctaw County | No | 707.9 (576.1, 860.7) | 67 (31, 67) | 20 | falling | -2.8 (-3.5, -2.1) |
Coosa County | No | 845.1 (687.6, 1,028.1) | 54 (4, 67) | 20 | falling | -1.3 (-2.2, -0.4) |
Hale County | No | 735.1 (598.4, 893.6) | 66 (22, 67) | 20 | falling | -1.2 (-2.4, -0.1) |
Wilcox County | No | 1,051.8 (858.6, 1,275.4) | 6 (1, 63) | 21 | stable | -0.7 (-1.9, 0.4) |
Sumter County | No | 993.6 (813.6, 1,201.1) | 14 (1, 66) | 22 | stable | -0.5 (-1.5, 0.4) |
Cleburne County | No | 815.4 (671.7, 980.7) | 61 (7, 67) | 23 | falling | -1.7 (-2.6, -0.7) |
Conecuh County | No | 840.6 (693.3, 1,009.9) | 55 (5, 67) | 23 | falling | -1.8 (-2.5, -1.0) |
Clay County | No | 887.4 (735.8, 1,060.9) | 42 (2, 67) | 24 | stable | -0.8 (-1.6, 0.0) |
Washington County | No | 829.3 (688.4, 990.5) | 58 (6, 67) | 25 | stable | -0.8 (-1.7, 0.2) |
Crenshaw County | No | 1,074.2 (899.0, 1,273.6) | 5 (1, 60) | 27 | stable | 0.2 (-0.6, 0.9) |
Lamar County | No | 925.7 (778.0, 1,093.3) | 34 (2, 67) | 28 | falling | -1.9 (-2.7, -1.0) |
Pickens County | No | 809.1 (684.1, 950.3) | 62 (10, 67) | 30 | falling | -1.3 (-2.1, -0.4) |
Henry County | No | 875.7 (744.6, 1,023.1) | 45 (5, 67) | 33 | stable | -0.5 (-1.2, 0.2) |
Fayette County | No | 976.0 (831.4, 1,138.5) | 21 (1, 64) | 33 | stable | -0.4 (-1.1, 0.4) |
Butler County | No | 853.6 (727.6, 994.9) | 52 (6, 67) | 33 | stable | -0.7 (-1.4, 0.0) |
Bibb County | No | 970.0 (829.5, 1,127.6) | 24 (1, 65) | 35 | stable | -0.5 (-1.2, 0.1) |
Marengo County | No | 941.0 (805.1, 1,093.1) | 32 (2, 65) | 35 | falling | -1.1 (-1.8, -0.4) |
Macon County | No | 999.3 (856.1, 1,159.6) | 13 (1, 63) | 36 | falling | -0.8 (-1.5, -0.1) |
Monroe County | No | 882.1 (758.8, 1,019.8) | 44 (5, 67) | 37 | falling | -0.9 (-1.7, -0.2) |
Randolph County | No | 830.2 (716.2, 957.2) | 57 (12, 67) | 38 | stable | -0.7 (-1.4, 0.0) |
Pike County | No | 869.1 (755.5, 994.9) | 46 (7, 67) | 42 | falling | -1.4 (-2.0, -0.9) |
Winston County | No | 867.6 (755.9, 991.2) | 48 (7, 67) | 44 | falling | -1.2 (-1.8, -0.5) |
Barbour County | No | 992.0 (866.6, 1,130.4) | 15 (1, 60) | 46 | falling | -1.0 (-1.8, -0.1) |
Clarke County | No | 989.6 (866.2, 1,125.6) | 17 (1, 61) | 46 | falling | -0.9 (-1.6, -0.1) |
Franklin County | No | 979.4 (860.5, 1,109.9) | 19 (2, 61) | 49 | falling | -0.7 (-1.3, -0.1) |
Cherokee County | No | 923.6 (814.9, 1,042.8) | 35 (4, 65) | 53 | stable | -0.6 (-1.2, 0.0) |
Geneva County | No | 1,042.3 (920.9, 1,175.1) | 7 (1, 51) | 54 | stable | -0.4 (-1.1, 0.3) |
Lawrence County | No | 967.3 (857.0, 1,088.0) | 26 (2, 61) | 57 | stable | -0.6 (-1.3, 0.1) |
Marion County | No | 958.9 (853.5, 1,073.8) | 28 (2, 61) | 60 | stable | -0.3 (-0.9, 0.4) |
Chambers County | No | 990.1 (882.0, 1,107.7) | 16 (2, 57) | 62 | stable | -0.5 (-1.0, 0.0) |
Escambia County | No | 969.3 (864.3, 1,083.6) | 25 (2, 59) | 62 | falling | -1.2 (-1.7, -0.8) |
Chilton County | No | 912.4 (814.4, 1,018.9) | 38 (6, 63) | 65 | falling | -0.7 (-1.3, -0.2) |
Dallas County | No | 1,003.7 (897.5, 1,119.0) | 11 (1, 56) | 66 | falling | -1.0 (-1.4, -0.5) |
Autauga County | No | 838.0 (751.5, 931.6) | 56 (19, 67) | 69 | falling | -1.7 (-2.4, -1.0) |
Coffee County | No | 863.5 (776.8, 957.1) | 49 (15, 65) | 74 | falling | -1.0 (-1.5, -0.5) |
Covington County | No | 965.0 (869.5, 1,068.2) | 27 (3, 58) | 75 | stable | -0.6 (-1.1, 0.0) |
Dale County | No | 970.5 (875.9, 1,072.4) | 23 (3, 57) | 78 | falling | -0.7 (-1.2, -0.2) |
Tallapoosa County | No | 976.5 (882.1, 1,078.2) | 20 (2, 56) | 80 | falling | -0.7 (-1.4, -0.1) |
Russell County | No | 1,124.4 (1,020.2, 1,236.4) | 2 (1, 25) | 88 | stable | -0.3 (-0.8, 0.2) |
Colbert County | No | 928.3 (847.6, 1,014.5) | 33 (6, 61) | 98 | falling | -0.8 (-1.3, -0.4) |
Jackson County | No | 1,003.4 (915.9, 1,097.0) | 12 (2, 49) | 99 | falling | -0.8 (-1.2, -0.3) |
Blount County | No | 1,013.3 (927.1, 1,105.4) | 9 (2, 48) | 103 | falling | -1.0 (-1.4, -0.5) |
DeKalb County | No | 888.1 (812.8, 968.6) | 41 (12, 64) | 105 | stable | 1.4 (-1.1, 4.1) |
Elmore County | No | 953.2 (874.5, 1,036.9) | 29 (5, 58) | 112 | falling | -0.7 (-1.1, -0.4) |
Limestone County | No | 806.6 (740.7, 876.8) | 63 (35, 67) | 114 | falling | -2.7 (-4.1, -1.3) |
Cullman County | No | 858.2 (791.8, 928.6) | 50 (22, 64) | 126 | falling | -0.6 (-1.1, -0.2) |
Walker County | No | 1,108.8 (1,023.7, 1,199.2) | 3 (1, 21) | 129 | stable | -0.2 (-0.5, 0.2) |
St. Clair County | No | 974.8 (901.3, 1,052.6) | 22 (4, 49) | 135 | falling | -0.8 (-1.2, -0.3) |
Talladega County | No | 1,018.9 (943.9, 1,098.3) | 8 (2, 42) | 141 | falling | -0.7 (-1.1, -0.3) |
Marshall County | No | 898.9 (833.8, 967.8) | 40 (14, 60) | 143 | falling | -1.9 (-2.5, -1.2) |
Houston County | No | 853.4 (793.7, 916.4) | 53 (24, 64) | 154 | falling | -2.3 (-3.2, -1.4) |
Lauderdale County | No | 857.2 (797.4, 920.3) | 51 (25, 64) | 154 | falling | -2.9 (-4.4, -1.4) |
Etowah County | No | 946.4 (884.5, 1,011.5) | 30 (7, 53) | 178 | falling | -1.1 (-1.5, -0.8) |
Lee County | No | 1,004.1 (937.9, 1,073.6) | 10 (3, 41) | 178 | falling | -0.7 (-1.1, -0.2) |
Morgan County | No | 943.4 (883.6, 1,006.2) | 31 (8, 54) | 188 | falling | -0.5 (-1.0, -0.1) |
Calhoun County | No | 983.8 (921.3, 1,049.3) | 18 (4, 44) | 189 | falling | -1.7 (-2.1, -1.2) |
Tuscaloosa County | No | 825.7 (776.6, 877.1) | 59 (37, 65) | 218 | falling | -2.3 (-2.9, -1.8) |
Shelby County | No | 746.8 (703.7, 791.9) | 65 (56, 67) | 232 | falling | -1.4 (-1.9, -0.9) |
Montgomery County | No | 905.2 (859.1, 953.3) | 39 (17, 56) | 294 | falling | -1.8 (-2.2, -1.4) |
Baldwin County | No | 884.4 (844.0, 926.3) | 43 (25, 59) | 369 | falling | -1.2 (-1.4, -0.9) |
Madison County | No | 868.9 (833.5, 905.4) | 47 (31, 60) | 460 | falling | -1.5 (-1.9, -1.1) |
Mobile County | No | 916.6 (883.4, 950.7) | 37 (20, 51) | 588 | falling | -2.0 (-2.3, -1.6) |
Jefferson County | No | 923.2 (896.4, 950.6) | 36 (20, 47) | 927 | falling | -1.4 (-1.7, -1.1) |
Notes:
Created by statecancerprofiles.cancer.gov on 06/10/2024 5:27 am.
State Cancer Registries may provide more current or more local data.
† 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.
Created by statecancerprofiles.cancer.gov on 06/10/2024 5:27 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.
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.