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 CI*Rank
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) |
Rankin County | Urban | No | 133.3 (126.0, 140.9) | 82 (75, 82) | 257 | falling | -2.0 (-5.6, -0.4) |
Lamar County | Urban | No | 135.2 (123.2, 148.1) | 81 (69, 82) | 96 | falling | -1.5 (-2.0, -0.9) |
Kemper County | Rural | No | 140.7 (112.3, 175.0) | 80 (32, 82) | 19 | stable | -0.7 (-1.9, 0.5) |
Amite County | Rural | No | 141.0 (119.3, 166.5) | 79 (46, 82) | 32 | falling | -2.2 (-4.9, -1.4) |
Choctaw County | Rural | No | 144.0 (115.6, 178.3) | 78 (31, 82) | 19 | falling | -1.1 (-2.1, -0.2) |
Lafayette County | Rural | No | 147.4 (132.9, 163.1) | 77 (55, 82) | 79 | falling | -1.4 (-1.9, -0.9) |
Lauderdale County | Rural | No | 150.4 (139.4, 162.0) | 76 (59, 81) | 146 | stable | -1.3 (-2.9, 3.2) |
Greene County | Rural | No | 152.8 (126.8, 182.9) | 75 (26, 82) | 25 | falling | -1.2 (-1.9, -0.4) |
Benton County | Urban | No | 153.5 (120.5, 193.6) | 74 (12, 82) | 16 | falling | -2.3 (-14.3, -0.7) |
Oktibbeha County | Rural | No | 155.1 (139.0, 172.5) | 73 (44, 82) | 71 | falling | -1.1 (-1.6, -0.5) |
Jones County | Rural | No | 156.5 (144.6, 169.1) | 72 (50, 80) | 136 | falling | -1.2 (-1.5, -0.8) |
Clarke County | Rural | No | 156.9 (134.5, 182.5) | 71 (25, 82) | 37 | stable | -0.3 (-1.0, 0.5) |
Newton County | Rural | No | 159.1 (138.2, 182.5) | 70 (28, 82) | 43 | falling | -1.4 (-2.1, -0.7) |
Franklin County | Rural | No | 161.0 (129.5, 199.0) | 69 (13, 82) | 19 | falling | -1.2 (-2.2, -0.3) |
Smith County | Rural | No | 161.3 (137.3, 188.8) | 68 (22, 82) | 34 | falling | -4.0 (-12.9, -1.8) |
Winston County | Rural | No | 164.3 (142.4, 189.0) | 67 (23, 82) | 43 | falling | -0.8 (-1.6, -0.1) |
Hancock County | Urban | No | 165.9 (152.1, 180.7) | 66 (34, 79) | 116 | falling | -0.8 (-1.2, -0.4) |
Walthall County | Rural | No | 167.7 (142.6, 196.4) | 65 (15, 82) | 33 | stable | -0.6 (-1.3, 0.1) |
Alcorn County | Rural | No | 167.8 (151.3, 185.6) | 64 (27, 78) | 79 | falling | -0.8 (-1.3, -0.3) |
Simpson County | Urban | No | 168.7 (149.5, 190.0) | 63 (23, 79) | 59 | falling | -0.9 (-1.5, -0.2) |
Clay County | Rural | No | 170.4 (148.3, 195.3) | 62 (17, 80) | 45 | stable | -0.5 (-1.1, 0.1) |
Scott County | Urban | No | 170.6 (151.0, 192.0) | 61 (21, 80) | 57 | falling | -0.7 (-1.3, -0.1) |
Hinds County | Urban | No | 171.0 (163.8, 178.4) | 60 (43, 71) | 451 | stable | 0.0 (-0.3, 0.4) |
Itawamba County | Rural | No | 171.0 (150.8, 193.3) | 59 (20, 79) | 54 | falling | -0.8 (-1.3, -0.3) |
Tippah County | Rural | No | 172.1 (150.4, 196.2) | 58 (16, 80) | 47 | stable | -0.4 (-1.0, 0.2) |
Copiah County | Urban | No | 172.8 (153.9, 193.5) | 57 (22, 78) | 65 | falling | -1.1 (-1.6, -0.6) |
Marion County | Rural | No | 173.2 (153.5, 195.0) | 56 (20, 79) | 59 | stable | -1.6 (-4.1, 2.8) |
Montgomery County | Rural | No | 174.7 (145.5, 208.7) | 55 (8, 82) | 27 | stable | -0.6 (-1.2, 0.0) |
Noxubee County | Rural | No | 175.0 (142.9, 212.6) | 54 (7, 82) | 22 | stable | -0.7 (-1.7, 0.4) |
Calhoun County | Rural | No | 175.5 (148.9, 206.1) | 53 (11, 81) | 33 | stable | 0.0 (-0.8, 0.9) |
Carroll County | Rural | No | 175.6 (146.7, 209.6) | 52 (9, 82) | 29 | stable | -0.5 (-1.3, 0.4) |
Pike County | Rural | No | 176.2 (159.9, 193.7) | 51 (20, 75) | 90 | stable | -0.8 (-1.4, 0.0) |
DeSoto County | Urban | No | 178.1 (169.5, 187.0) | 50 (30, 67) | 337 | falling | -0.9 (-1.2, -0.6) |
Jefferson Davis County | Rural | No | 178.2 (150.1, 210.7) | 49 (7, 80) | 32 | falling | -1.1 (-1.9, -0.4) |
Monroe County | Rural | No | 181.6 (164.6, 200.0) | 48 (16, 73) | 89 | stable | -0.5 (-1.0, 0.1) |
Jackson County | Urban | No | 183.0 (174.0, 192.4) | 47 (24, 62) | 325 | falling | -1.2 (-1.4, -0.9) |
Chickasaw County | Rural | No | 184.8 (160.2, 212.4) | 46 (9, 78) | 42 | stable | -0.6 (-1.2, 0.0) |
Warren County | Rural | No | 185.0 (169.2, 202.0) | 45 (16, 69) | 107 | falling | -0.9 (-1.3, -0.6) |
Harrison County | Urban | No | 185.1 (177.5, 193.0) | 44 (25, 59) | 464 | falling | -1.3 (-2.3, -1.0) |
Leake County | Rural | No | 187.1 (164.4, 212.3) | 43 (9, 76) | 51 | falling | -3.0 (-10.7, -1.0) |
Stone County | Urban | No | 187.1 (161.0, 216.4) | 42 (6, 77) | 40 | falling | -1.2 (-1.9, -0.4) |
Wayne County | Rural | No | 187.7 (164.1, 213.8) | 41 (8, 75) | 48 | stable | -0.7 (-1.3, 0.0) |
Lowndes County | Rural | No | 188.3 (174.1, 203.3) | 40 (15, 66) | 138 | falling | -0.6 (-1.1, -0.2) |
Prentiss County | Rural | No | 188.5 (167.7, 211.4) | 39 (9, 73) | 62 | stable | 0.1 (-0.6, 0.8) |
Neshoba County | Rural | No | 189.6 (169.2, 211.9) | 38 (9, 70) | 65 | rising | 1.1 (0.1, 4.3) |
Tate County | Urban | No | 190.2 (169.6, 212.6) | 37 (9, 71) | 66 | stable | -0.6 (-1.0, 0.0) |
Lincoln County | Rural | No | 190.3 (172.3, 209.7) | 36 (11, 69) | 86 | falling | -0.7 (-1.3, -0.2) |
Forrest County | Urban | No | 191.4 (178.1, 205.6) | 35 (14, 61) | 157 | falling | -0.8 (-1.1, -0.5) |
Webster County | Rural | No | 191.8 (159.6, 229.3) | 34 (4, 79) | 26 | stable | -0.4 (-1.2, 0.6) |
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) |
Yalobusha County | Rural | No | 194.5 (166.7, 226.2) | 31 (5, 75) | 37 | falling | -0.8 (-1.4, -0.2) |
Union County | Rural | No | 194.6 (174.1, 217.0) | 30 (8, 69) | 67 | stable | 1.9 (-0.3, 9.9) |
Jasper County | Rural | No | 195.6 (170.1, 224.2) | 29 (5, 73) | 46 | stable | 12.5 (-0.4, 20.4) |
Jefferson County | Rural | No | 197.4 (157.9, 244.4) | 28 (2, 80) | 19 | stable | -0.7 (-1.6, 0.2) |
Wilkinson County | Rural | No | 197.6 (161.8, 239.7) | 27 (2, 79) | 23 | falling | -0.9 (-1.7, -0.1) |
Madison County | Urban | No | 197.8 (186.4, 209.7) | 26 (12, 50) | 238 | falling | -5.0 (-5.8, -4.3) |
Adams County | Rural | No | 198.1 (179.1, 218.8) | 25 (8, 61) | 85 | falling | -0.6 (-1.0, -0.2) |
Attala County | Rural | No | 200.4 (176.1, 227.5) | 24 (5, 68) | 51 | stable | -0.2 (-0.9, 0.5) |
Lee County | Rural | No | 201.5 (188.8, 214.8) | 23 (10, 49) | 194 | stable | -3.1 (-4.9, 0.3) |
George County | Rural | No | 202.5 (177.8, 229.6) | 22 (4, 68) | 54 | stable | -0.8 (-1.5, 0.0) |
Pontotoc County | Rural | No | 203.0 (182.4, 225.3) | 21 (5, 58) | 74 | stable | 2.0 (-0.1, 11.6) |
Perry County | Urban | No | 203.2 (172.4, 238.5) | 20 (2, 74) | 32 | stable | -0.2 (-1.0, 0.7) |
Claiborne County | Rural | No | 203.3 (165.7, 247.2) | 19 (2, 77) | 22 | stable | -0.7 (-1.6, 0.2) |
Tallahatchie County | Rural | No | 204.1 (173.3, 239.2) | 18 (2, 74) | 32 | stable | -0.3 (-1.0, 0.3) |
Covington County | Rural | No | 205.1 (179.6, 233.4) | 17 (3, 64) | 48 | stable | -0.1 (-0.7, 0.5) |
Tishomingo County | Rural | No | 207.6 (184.0, 233.7) | 16 (4, 58) | 59 | stable | -0.5 (-1.2, 0.1) |
Grenada County | Rural | No | 209.2 (185.8, 235.0) | 15 (3, 60) | 61 | stable | -0.2 (-0.8, 0.4) |
Lawrence County | Rural | No | 209.5 (177.5, 245.9) | 14 (2, 68) | 33 | stable | -0.2 (-0.9, 0.6) |
Marshall County | Urban | No | 211.7 (192.8, 232.1) | 13 (5, 48) | 98 | falling | -0.7 (-1.1, -0.3) |
Washington County | Rural | No | 213.3 (195.8, 231.9) | 12 (4, 42) | 119 | stable | -0.4 (-0.9, 0.0) |
Sunflower County | Rural | No | 221.8 (197.9, 247.9) | 11 (2, 45) | 65 | stable | -0.3 (-0.7, 0.1) |
Bolivar County | Rural | No | 225.5 (204.0, 248.7) | 10 (2, 36) | 85 | stable | -0.5 (-1.0, 0.0) |
Coahoma County | Rural | No | 230.8 (204.6, 259.6) | 9 (1, 37) | 60 | stable | -0.2 (-3.7, 0.3) |
Sharkey County | Rural | No | 238.7 (181.3, 310.4) | 8 (1, 77) | 13 | falling | -1.4 (-2.7, -0.3) |
Yazoo County | Urban | No | 241.8 (216.6, 269.2) | 7 (1, 28) | 69 | stable | -0.1 (-0.7, 0.6) |
Tunica County | Urban | No | 242.0 (198.3, 292.2) | 6 (1, 58) | 24 | stable | -0.6 (-1.2, 0.1) |
Holmes County | Urban | No | 242.0 (212.0, 275.4) | 5 (1, 32) | 49 | stable | -0.1 (-0.9, 0.6) |
Leflore County | Rural | No | 243.3 (219.0, 269.7) | 4 (1, 23) | 76 | stable | 0.0 (-0.5, 0.5) |
Humphreys County | Rural | No | 245.6 (202.5, 295.8) | 3 (1, 54) | 25 | rising | 19.9 (3.2, 32.1) |
Quitman County | Rural | No | 271.5 (221.1, 330.6) | 2 (1, 39) | 22 | stable | -0.5 (-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) |
Notes:
Created by statecancerprofiles.cancer.gov on 01/22/2025 7:38 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 01/22/2025 7:38 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.