Mortality > Table
Death Rates Table
Death Rate Report for Mississippi by County
All Cancer Sites, 2018-2022
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Name
County |
2023 Rural-Urban Continuum Codes Φ |
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) |
---|---|---|---|---|---|---|---|
Mississippi | N/A | No | 179.8 (177.8, 181.8) | N/A | 6,592 | falling | -1.0 (-1.1, -0.9) |
United States | N/A | No | 146.0 (145.8, 146.2) | N/A | 602,955 | falling | -1.5 (-1.6, -1.4) |
Yazoo County | Urban | No | 241.8 (216.6, 269.2) | 7 (1, 28) | 69 | stable | -0.1 (-0.7, 0.6) |
Yalobusha County | Rural | No | 194.5 (166.7, 226.2) | 31 (5, 75) | 37 | falling | -0.8 (-1.4, -0.2) |
Winston County | Rural | No | 164.3 (142.4, 189.0) | 67 (23, 82) | 43 | falling | -0.8 (-1.6, -0.1) |
Wilkinson County | Rural | No | 197.6 (161.8, 239.7) | 27 (2, 79) | 23 | falling | -0.9 (-1.7, -0.1) |
Webster County | Rural | No | 191.8 (159.6, 229.3) | 34 (4, 79) | 26 | stable | -0.4 (-1.2, 0.6) |
Wayne County | Rural | No | 187.7 (164.1, 213.8) | 41 (8, 75) | 48 | stable | -0.7 (-1.3, 0.0) |
Washington County | Rural | No | 213.3 (195.8, 231.9) | 12 (4, 42) | 119 | stable | -0.4 (-0.9, 0.0) |
Warren County | Rural | No | 185.0 (169.2, 202.0) | 45 (16, 69) | 107 | falling | -0.9 (-1.3, -0.6) |
Walthall County | Rural | No | 167.7 (142.6, 196.4) | 65 (15, 82) | 33 | stable | -0.6 (-1.3, 0.1) |
Union County | Rural | No | 194.6 (174.1, 217.0) | 30 (8, 69) | 67 | stable | 1.9 (-0.3, 9.9) |
Tunica County | Urban | No | 242.0 (198.3, 292.2) | 6 (1, 58) | 24 | stable | -0.6 (-1.2, 0.1) |
Tishomingo County | Rural | No | 207.6 (184.0, 233.7) | 16 (4, 58) | 59 | stable | -0.5 (-1.2, 0.1) |
Tippah County | Rural | No | 172.1 (150.4, 196.2) | 58 (16, 80) | 47 | stable | -0.4 (-1.0, 0.2) |
Tate County | Urban | No | 190.2 (169.6, 212.6) | 37 (9, 71) | 66 | stable | -0.6 (-1.0, 0.0) |
Tallahatchie County | Rural | No | 204.1 (173.3, 239.2) | 18 (2, 74) | 32 | stable | -0.3 (-1.0, 0.3) |
Sunflower County | Rural | No | 221.8 (197.9, 247.9) | 11 (2, 45) | 65 | stable | -0.3 (-0.7, 0.1) |
Stone County | Urban | No | 187.1 (161.0, 216.4) | 42 (6, 77) | 40 | falling | -1.2 (-1.9, -0.4) |
Smith County | Rural | No | 161.3 (137.3, 188.8) | 68 (22, 82) | 34 | falling | -4.0 (-12.9, -1.8) |
Simpson County | Urban | No | 168.7 (149.5, 190.0) | 63 (23, 79) | 59 | falling | -0.9 (-1.5, -0.2) |
Sharkey County | Rural | No | 238.7 (181.3, 310.4) | 8 (1, 77) | 13 | falling | -1.4 (-2.7, -0.3) |
Scott County | Urban | No | 170.6 (151.0, 192.0) | 61 (21, 80) | 57 | falling | -0.7 (-1.3, -0.1) |
Rankin County | Urban | No | 133.3 (126.0, 140.9) | 82 (75, 82) | 257 | falling | -2.0 (-5.6, -0.4) |
Quitman County | Rural | No | 271.5 (221.1, 330.6) | 2 (1, 39) | 22 | stable | -0.5 (-1.3, 0.3) |
Prentiss County | Rural | No | 188.5 (167.7, 211.4) | 39 (9, 73) | 62 | stable | 0.1 (-0.6, 0.8) |
Pontotoc County | Rural | No | 203.0 (182.4, 225.3) | 21 (5, 58) | 74 | stable | 2.0 (-0.1, 11.6) |
Pike County | Rural | No | 176.2 (159.9, 193.7) | 51 (20, 75) | 90 | stable | -0.8 (-1.4, 0.0) |
Perry County | Urban | No | 203.2 (172.4, 238.5) | 20 (2, 74) | 32 | stable | -0.2 (-1.0, 0.7) |
Pearl River County | Rural | No | 194.0 (180.0, 208.9) | 33 (11, 59) | 152 | falling | -0.7 (-1.1, -0.4) |
Panola County | Rural | No | 194.5 (175.7, 214.8) | 32 (8, 65) | 83 | falling | -0.7 (-1.1, -0.2) |
Oktibbeha County | Rural | No | 155.1 (139.0, 172.5) | 73 (44, 82) | 71 | falling | -1.1 (-1.6, -0.5) |
Noxubee County | Rural | No | 175.0 (142.9, 212.6) | 54 (7, 82) | 22 | stable | -0.7 (-1.7, 0.4) |
Newton County | Rural | No | 159.1 (138.2, 182.5) | 70 (28, 82) | 43 | falling | -1.4 (-2.1, -0.7) |
Neshoba County | Rural | No | 189.6 (169.2, 211.9) | 38 (9, 70) | 65 | rising | 1.1 (0.1, 4.3) |
Montgomery County | Rural | No | 174.7 (145.5, 208.7) | 55 (8, 82) | 27 | stable | -0.6 (-1.2, 0.0) |
Monroe County | Rural | No | 181.6 (164.6, 200.0) | 48 (16, 73) | 89 | stable | -0.5 (-1.0, 0.1) |
Marshall County | Urban | No | 211.7 (192.8, 232.1) | 13 (5, 48) | 98 | falling | -0.7 (-1.1, -0.3) |
Marion County | Rural | No | 173.2 (153.5, 195.0) | 56 (20, 79) | 59 | stable | -1.6 (-4.1, 2.8) |
Madison County | Urban | No | 197.8 (186.4, 209.7) | 26 (12, 50) | 238 | falling | -5.0 (-5.8, -4.3) |
Lowndes County | Rural | No | 188.3 (174.1, 203.3) | 40 (15, 66) | 138 | falling | -0.6 (-1.1, -0.2) |
Lincoln County | Rural | No | 190.3 (172.3, 209.7) | 36 (11, 69) | 86 | falling | -0.7 (-1.3, -0.2) |
Leflore County | Rural | No | 243.3 (219.0, 269.7) | 4 (1, 23) | 76 | stable | 0.0 (-0.5, 0.5) |
Lee County | Rural | No | 201.5 (188.8, 214.8) | 23 (10, 49) | 194 | stable | -3.1 (-4.9, 0.3) |
Leake County | Rural | No | 187.1 (164.4, 212.3) | 43 (9, 76) | 51 | falling | -3.0 (-10.7, -1.0) |
Lawrence County | Rural | No | 209.5 (177.5, 245.9) | 14 (2, 68) | 33 | stable | -0.2 (-0.9, 0.6) |
Lauderdale County | Rural | No | 150.4 (139.4, 162.0) | 76 (59, 81) | 146 | stable | -1.3 (-2.9, 3.2) |
Lamar County | Urban | No | 135.2 (123.2, 148.1) | 81 (69, 82) | 96 | falling | -1.5 (-2.0, -0.9) |
Lafayette County | Rural | No | 147.4 (132.9, 163.1) | 77 (55, 82) | 79 | falling | -1.4 (-1.9, -0.9) |
Kemper County | Rural | No | 140.7 (112.3, 175.0) | 80 (32, 82) | 19 | stable | -0.7 (-1.9, 0.5) |
Jones County | Rural | No | 156.5 (144.6, 169.1) | 72 (50, 80) | 136 | falling | -1.2 (-1.5, -0.8) |
Jefferson Davis County | Rural | No | 178.2 (150.1, 210.7) | 49 (7, 80) | 32 | falling | -1.1 (-1.9, -0.4) |
Jefferson County | Rural | No | 197.4 (157.9, 244.4) | 28 (2, 80) | 19 | stable | -0.7 (-1.6, 0.2) |
Jasper County | Rural | No | 195.6 (170.1, 224.2) | 29 (5, 73) | 46 | stable | 12.5 (-0.4, 20.4) |
Jackson County | Urban | No | 183.0 (174.0, 192.4) | 47 (24, 62) | 325 | falling | -1.2 (-1.4, -0.9) |
Itawamba County | Rural | No | 171.0 (150.8, 193.3) | 59 (20, 79) | 54 | falling | -0.8 (-1.3, -0.3) |
Issaquena County | Rural | No | 274.8 (165.4, 445.5) | 1 (1, 82) | 4 | stable | 1.3 (-1.0, 3.7) |
Humphreys County | Rural | No | 245.6 (202.5, 295.8) | 3 (1, 54) | 25 | rising | 19.9 (3.2, 32.1) |
Holmes County | Urban | No | 242.0 (212.0, 275.4) | 5 (1, 32) | 49 | stable | -0.1 (-0.9, 0.6) |
Hinds County | Urban | No | 171.0 (163.8, 178.4) | 60 (43, 71) | 451 | stable | 0.0 (-0.3, 0.4) |
Harrison County | Urban | No | 185.1 (177.5, 193.0) | 44 (25, 59) | 464 | falling | -1.3 (-2.3, -1.0) |
Hancock County | Urban | No | 165.9 (152.1, 180.7) | 66 (34, 79) | 116 | falling | -0.8 (-1.2, -0.4) |
Grenada County | Rural | No | 209.2 (185.8, 235.0) | 15 (3, 60) | 61 | stable | -0.2 (-0.8, 0.4) |
Greene County | Rural | No | 152.8 (126.8, 182.9) | 75 (26, 82) | 25 | falling | -1.2 (-1.9, -0.4) |
George County | Rural | No | 202.5 (177.8, 229.6) | 22 (4, 68) | 54 | stable | -0.8 (-1.5, 0.0) |
Franklin County | Rural | No | 161.0 (129.5, 199.0) | 69 (13, 82) | 19 | falling | -1.2 (-2.2, -0.3) |
Forrest County | Urban | No | 191.4 (178.1, 205.6) | 35 (14, 61) | 157 | falling | -0.8 (-1.1, -0.5) |
DeSoto County | Urban | No | 178.1 (169.5, 187.0) | 50 (30, 67) | 337 | falling | -0.9 (-1.2, -0.6) |
Covington County | Rural | No | 205.1 (179.6, 233.4) | 17 (3, 64) | 48 | stable | -0.1 (-0.7, 0.5) |
Copiah County | Urban | No | 172.8 (153.9, 193.5) | 57 (22, 78) | 65 | falling | -1.1 (-1.6, -0.6) |
Coahoma County | Rural | No | 230.8 (204.6, 259.6) | 9 (1, 37) | 60 | stable | -0.2 (-3.7, 0.3) |
Clay County | Rural | No | 170.4 (148.3, 195.3) | 62 (17, 80) | 45 | stable | -0.5 (-1.1, 0.1) |
Clarke County | Rural | No | 156.9 (134.5, 182.5) | 71 (25, 82) | 37 | stable | -0.3 (-1.0, 0.5) |
Claiborne County | Rural | No | 203.3 (165.7, 247.2) | 19 (2, 77) | 22 | stable | -0.7 (-1.6, 0.2) |
Choctaw County | Rural | No | 144.0 (115.6, 178.3) | 78 (31, 82) | 19 | falling | -1.1 (-2.1, -0.2) |
Chickasaw County | Rural | No | 184.8 (160.2, 212.4) | 46 (9, 78) | 42 | stable | -0.6 (-1.2, 0.0) |
Carroll County | Rural | No | 175.6 (146.7, 209.6) | 52 (9, 82) | 29 | stable | -0.5 (-1.3, 0.4) |
Calhoun County | Rural | No | 175.5 (148.9, 206.1) | 53 (11, 81) | 33 | stable | 0.0 (-0.8, 0.9) |
Bolivar County | Rural | No | 225.5 (204.0, 248.7) | 10 (2, 36) | 85 | stable | -0.5 (-1.0, 0.0) |
Benton County | Urban | No | 153.5 (120.5, 193.6) | 74 (12, 82) | 16 | falling | -2.3 (-14.3, -0.7) |
Attala County | Rural | No | 200.4 (176.1, 227.5) | 24 (5, 68) | 51 | stable | -0.2 (-0.9, 0.5) |
Amite County | Rural | No | 141.0 (119.3, 166.5) | 79 (46, 82) | 32 | falling | -2.2 (-4.9, -1.4) |
Alcorn County | Rural | No | 167.8 (151.3, 185.6) | 64 (27, 78) | 79 | falling | -0.8 (-1.3, -0.3) |
Adams County | Rural | No | 198.1 (179.1, 218.8) | 25 (8, 61) | 85 | falling | -0.6 (-1.0, -0.2) |
Notes:
Created by statecancerprofiles.cancer.gov on 12/10/2024 11:02 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.
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.
Created by statecancerprofiles.cancer.gov on 12/10/2024 11:02 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.
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.