Data Table for Rate/Trend Comparison by Cancer
Counties |
Priority Index1 1=highest 9=lowest |
Recent Trend2 |
County Death Rate Compared to US Rate |
Average Annual Count |
Age-Adjusted Death Rate deaths per 100,000 (95% Confidence Interval) |
Rate Ratio3 County to US |
Recent 5-Year Trend2 in Death Rates (95% Confidence Interval) |
---|---|---|---|---|---|---|---|
United States | - | stable | - | 31,337 | 18.8 (18.7, 18.9) | - | -0.5 (-0.9, 0.0) |
Mississippi | - | stable | - | 349 | 24.3 (23.1, 25.5) | - | -0.3 (-3.0, 2.5) |
Jackson County | 4 | stable | higher | 17 | 24.4 (19.3, 30.4) | 1.3 | 1.8 (-0.5, 4.2) |
Madison County | 5 | falling | higher | 14 | 37.8 (29.1, 48.2) | 2.0 | -6.5 (-9.7, -3.2) |
Lamar County | 8 | falling | similar | 3 | 12.8 (7.3, 20.5) | 0.7 | -4.9 (-7.0, -2.8) |
Oktibbeha County | 8 | falling | similar | 3 | 17.1 (9.9, 27.6) | 0.9 | -4.1 (-5.6, -2.6) |
Lauderdale County | 8 | falling | similar | 8 | 22.0 (15.7, 29.8) | 1.2 | -4.1 (-5.1, -3.1) |
Forrest County | 8 | falling | similar | 5 | 17.6 (11.6, 25.7) | 0.9 | -3.7 (-5.1, -2.2) |
Warren County | 8 | falling | similar | 5 | 22.3 (14.2, 33.2) | 1.2 | -3.6 (-5.1, -2.0) |
Hinds County | 5 | falling | higher | 29 | 28.8 (24.1, 34.0) | 1.5 | -3.5 (-4.4, -2.6) |
Newton County | 8 | falling | similar | 3 | 33.1 (19.1, 53.4) | 1.8 | -3.1 (-4.7, -1.4) |
DeSoto County | 8 | falling | similar | 14 | 20.2 (15.5, 25.7) | 1.1 | -3.0 (-4.5, -1.4) |
Jones County | 8 | falling | similar | 6 | 19.3 (13.1, 27.3) | 1.0 | -2.8 (-4.2, -1.5) |
Adams County | 5 | falling | higher | 7 | 37.7 (25.6, 53.5) | 2.0 | -2.7 (-4.0, -1.3) |
Alcorn County | 8 | falling | similar | 4 | 18.4 (11.0, 29.2) | 1.0 | -2.3 (-4.1, -0.4) |
Clay County | 8 | falling | similar | 3 | 29.8 (16.8, 49.3) | 1.6 | -2.3 (-4.1, -0.4) |
Harrison County | 5 | falling | higher | 23 | 24.1 (19.7, 29.0) | 1.3 | -2.3 (-3.4, -1.2) |
Lafayette County | 8 | falling | similar | 5 | 29.9 (19.2, 43.9) | 1.6 | -2.1 (-3.5, -0.6) |
Panola County | 5 | falling | higher | 6 | 34.6 (22.6, 50.5) | 1.8 | -2.0 (-3.7, -0.2) |
Lee County | 6 | stable | similar | 6 | 16.1 (10.7, 23.2) | 0.9 | -1.8 (-3.6, 0.1) |
Monroe County | 6 | stable | similar | 5 | 24.5 (15.6, 36.7) | 1.3 | -1.7 (-3.7, 0.3) |
Pike County | 8 | falling | similar | 5 | 26.6 (17.2, 39.3) | 1.4 | -1.7 (-3.3, -0.1) |
Rankin County | 8 | falling | similar | 13 | 17.5 (13.3, 22.5) | 0.9 | -1.6 (-3.0, -0.2) |
Lowndes County | 4 | stable | higher | 9 | 35.3 (25.6, 47.2) | 1.9 | -1.4 (-3.0, 0.2) |
Marshall County | 4 | stable | higher | 9 | 49.1 (34.9, 67.1) | 2.6 | -0.9 (-2.5, 0.8) |
Washington County | 4 | stable | higher | 7 | 33.8 (23.1, 47.8) | 1.8 | -0.7 (-2.4, 1.0) |
Coahoma County | 4 | stable | higher | 5 | 45.9 (29.7, 68.2) | 2.4 | -0.5 (-2.0, 1.1) |
Bolivar County | 4 | stable | higher | 7 | 64.0 (43.8, 89.8) | 3.4 | -0.2 (-1.6, 1.3) |
Attala County |
|
** | similar | 3 | 30.6 (17.2, 50.8) | 1.6 |
|
Clarke County |
|
** | similar | 3 | 33.5 (18.9, 55.9) | 1.8 |
|
Grenada County |
|
** | similar | 4 | 31.7 (18.4, 51.2) | 1.7 |
|
Hancock County |
|
** | similar | 4 | 15.2 (9.3, 23.7) | 0.8 |
|
Holmes County |
|
** | higher | 3 | 40.6 (23.4, 65.8) | 2.2 |
|
Jasper County |
|
** | similar | 3 | 29.8 (17.3, 49.2) | 1.6 |
|
Leflore County |
|
** | higher | 6 | 51.3 (34.0, 74.1) | 2.7 |
|
Lincoln County |
|
** | similar | 5 | 26.0 (16.2, 39.5) | 1.4 |
|
Pearl River County |
|
** | similar | 6 | 18.4 (12.2, 26.6) | 1.0 |
|
Prentiss County |
|
** | similar | 3 | 23.0 (13.0, 37.9) | 1.2 |
|
Scott County |
|
** | higher | 5 | 39.1 (24.7, 58.5) | 2.1 |
|
Sunflower County |
|
** | higher | 6 | 59.0 (39.3, 84.6) | 3.1 |
|
Yalobusha County |
|
** | higher | 3 | 44.9 (25.0, 75.1) | 2.4 |
|
Amite County |
|
** |
|
|
|
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Benton County |
|
** |
|
|
|
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Calhoun County |
|
** |
|
|
|
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Carroll County |
|
** |
|
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|
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Chickasaw County |
|
** |
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Choctaw County |
|
** |
|
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|
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Claiborne County |
|
** |
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|
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Copiah County |
|
** |
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Covington County |
|
** |
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Franklin County |
|
** |
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George County |
|
** |
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Greene County |
|
** |
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Humphreys County |
|
** |
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Issaquena County |
|
** |
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Itawamba County |
|
** |
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Jefferson County |
|
** |
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Jefferson Davis County |
|
** |
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Kemper County |
|
** |
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Lawrence County |
|
** |
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Leake County |
|
** |
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Marion County |
|
** |
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Montgomery County |
|
** |
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Neshoba County |
|
** |
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Noxubee County |
|
** |
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Perry County |
|
** |
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Pontotoc County |
|
** |
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Quitman County |
|
** |
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Sharkey County |
|
** |
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Simpson County |
|
** |
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Smith County |
|
** |
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Stone County |
|
** |
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Tallahatchie County |
|
** |
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Tate County |
|
** |
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Tippah County |
|
** |
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Tishomingo County |
|
** |
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Tunica County |
|
** |
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Union County |
|
** |
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Walthall County |
|
** |
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Wayne County |
|
** |
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Webster County |
|
** |
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Wilkinson County |
|
** |
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Winston County |
|
** |
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Yazoo County |
|
** |
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Notes:
Created by statecancerprofiles.cancer.gov on 05/19/2024 10:50 am.
* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 2020 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.
Note: When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate. Suppression is used to avoid misinterpretation when rates are unstable.
State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).
Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Amite County, Benton County, Calhoun County, Carroll County, Chickasaw County, Choctaw County, Claiborne County, Copiah County, Covington County, Franklin County, George County, Greene County, Humphreys County, Issaquena County, Itawamba County, Jefferson County, Jefferson Davis County, Kemper County, Lawrence County, Leake County, Marion County, Montgomery County, Neshoba County, Noxubee County, Perry County, Pontotoc County, Quitman County, Sharkey County, Simpson County, Smith County, Stone County, Tallahatchie County, Tate County, Tippah County, Tishomingo County, Tunica County, Union County, Walthall County, Wayne County, Webster County, Wilkinson County, Winston County, Yazoo County
Trend for the following could not be reliably determined due to small number of deaths per year:
Attala County, Clarke County, Grenada County, Hancock County, Holmes County, Jasper County, Leflore County, Lincoln County, Pearl River County, Prentiss County, Scott County, Sunflower County, Yalobusha County
Interpret Rankings provides insight into interpreting cancer statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.
Data for United States does not include Puerto Rico.
Created by statecancerprofiles.cancer.gov on 05/19/2024 10:50 am.
Trend2
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.
Rate Comparison
Above when 95% confident the rate is above and Rate Ratio3 > 1.10
Similar when unable to conclude above or below with confidence.
Below when 95% confident the rate is below and Rate Ratio3 < 0.90
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.
Rate Comparison
Above when 95% confident the rate is above and Rate Ratio3 > 1.10
Similar when unable to conclude above or below with confidence.
Below when 95% confident the rate is below and Rate Ratio3 < 0.90
* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 2020 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.
Note: When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate. Suppression is used to avoid misinterpretation when rates are unstable.
State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).
Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Amite County, Benton County, Calhoun County, Carroll County, Chickasaw County, Choctaw County, Claiborne County, Copiah County, Covington County, Franklin County, George County, Greene County, Humphreys County, Issaquena County, Itawamba County, Jefferson County, Jefferson Davis County, Kemper County, Lawrence County, Leake County, Marion County, Montgomery County, Neshoba County, Noxubee County, Perry County, Pontotoc County, Quitman County, Sharkey County, Simpson County, Smith County, Stone County, Tallahatchie County, Tate County, Tippah County, Tishomingo County, Tunica County, Union County, Walthall County, Wayne County, Webster County, Wilkinson County, Winston County, Yazoo County
Trend for the following could not be reliably determined due to small number of deaths per year:
Attala County, Clarke County, Grenada County, Hancock County, Holmes County, Jasper County, Leflore County, Lincoln County, Pearl River County, Prentiss County, Scott County, Sunflower County, Yalobusha County
Interpret Rankings provides insight into interpreting cancer statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.
Data for United States does not include Puerto Rico.