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Incidence Rates Table

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Incidence Rate Report for Mississippi by County

All Races (includes Hispanic), Both Sexes, Melanoma of the Skin, All Ages
Sorted by Rate
County
sort sort alphabetically by nameascending
Annual Incidence Rate
over rate period
(95% Confidence Interval)

sort sort by rateascending
Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Mississippi 6,10 17.4 (16.7, 18.0) 538 2008-2012 stable stable trend 0.8 (-4.6, 6.5)
US (SEER+NPCR) 1,10 19.9 (19.8, 20.0) 65,719 § 2008-2012 stable stable trend 0.1 (-0.9, 1.1)
Rankin County 6,10 27.0 (23.3, 31.1) 39 2008-2012 stable stable trend 1.5 (-18.6, 26.5)
Perry County 6,10 26.8 (15.6, 43.0) 4 2008-2012 * *
Alcorn County 6,10 26.5 (20.1, 34.5) 12 2008-2012 * *
Madison County 6,10 25.6 (21.2, 30.7) 24 2008-2012 stable stable trend -1.0 (-18.0, 19.5)
Carroll County 6,10 25.3 (14.4, 41.8) 3 2008-2012 * *
Jackson County 6,10 25.2 (21.6, 29.3) 36 2008-2012 stable stable trend -8.9 (-25.4, 11.1)
Neshoba County 6,10 25.1 (17.8, 34.4) 8 2008-2012 * *
Chickasaw County 6,10 24.3 (15.5, 36.5) 5 2008-2012 * *
Pearl River County 6,10 23.6 (18.3, 29.9) 15 2008-2012 stable stable trend 14.6 (-7.0, 41.2)
Lawrence County 6,10 23.4 (13.6, 37.9) 3 2008-2012 * *
Copiah County 6,10 23.2 (16.3, 32.3) 8 2008-2012 * *
Clarke County 6,10 22.8 (14.2, 34.9) 5 2008-2012 * *
Lee County 6,10 22.6 (18.2, 27.6) 19 2008-2012 stable stable trend 6.4 (-20.3, 41.9)
Marion County 6,10 22.4 (15.5, 31.4) 7 2008-2012 * *
Tishomingo County 6,10 22.1 (14.2, 33.0) 5 2008-2012 * *
Forrest County 6,10 21.6 (17.0, 27.0) 16 2008-2012 stable stable trend 6.2 (-30.2, 61.7)
Harrison County 6,10 21.6 (18.6, 24.8) 41 2008-2012 stable stable trend -12.7 (-27.5, 5.2)
Jones County 6,10 21.4 (16.7, 26.9) 15 2008-2012 stable stable trend -1.8 (-33.1, 44.0)
Monroe County 6,10 21.1 (15.1, 28.8) 8 2008-2012 * *
Grenada County 6,10 21.0 (13.3, 31.5) 5 2008-2012 * *
Smith County 6,10 20.7 (12.1, 33.2) 4 2008-2012 * *
Scott County 6,10 20.7 (13.8, 29.8) 6 2008-2012 * *
Lafayette County 6,10 20.4 (14.6, 27.7) 8 2008-2012 * *
Lamar County 6,10 19.8 (14.8, 26.0) 11 2008-2012 * *
Stone County 6,10 19.7 (11.5, 31.5) 4 2008-2012 * *
Lincoln County 6,10 19.1 (13.4, 26.6) 7 2008-2012 * *
Itawamba County 6,10 18.8 (12.1, 27.9) 5 2008-2012 * *
Tippah County 6,10 18.2 (11.4, 27.7) 5 2008-2012 * *
Prentiss County 6,10 18.1 (11.8, 26.7) 5 2008-2012 * *
Winston County 6,10 18.1 (11.2, 27.9) 4 2008-2012 * *
Hancock County 6,10 17.8 (12.8, 24.1) 9 2008-2012 * *
Union County 6,10 17.4 (11.3, 25.7) 5 2008-2012 * *
Covington County 6,10 16.8 (10.1, 26.5) 4 2008-2012 * *
Warren County 6,10 16.7 (12.1, 22.7) 9 2008-2012 * *
Lauderdale County 6,10 16.7 (13.0, 21.1) 14 2008-2012 * *
Pike County 6,10 16.6 (11.7, 22.9) 8 2008-2012 * *
Jasper County 6,10 16.6 (9.5, 27.2) 3 2008-2012 * *
George County 6,10 16.2 (9.5, 25.7) 4 2008-2012 * *
Oktibbeha County 6,10 15.9 (10.7, 22.7) 6 2008-2012 * *
Wayne County 6,10 15.7 (9.0, 25.5) 3 2008-2012 * *
Simpson County 6,10 15.5 (9.8, 23.3) 5 2008-2012 * *
Newton County 6,10 15.3 (9.3, 23.9) 4 2008-2012 * *
Pontotoc County 6,10 13.6 (8.5, 20.8) 4 2008-2012 * *
Panola County 6,10 13.0 (8.1, 19.6) 5 2008-2012 * *
Yazoo County 6,10 11.4 (6.5, 18.6) 3 2008-2012 * *
Hinds County 6,10 11.2 (9.3, 13.3) 26 2008-2012 stable stable trend -14.8 (-32.4, 7.4)
Lowndes County 6,10 11.2 (7.8, 15.7) 7 2008-2012 * *
Adams County 6,10 11.0 (6.8, 16.8) 4 2008-2012 * *
Leflore County 6,10 10.6 (6.1, 17.0) 3 2008-2012 * *
DeSoto County 6,10 10.1 (7.9, 12.6) 16 2008-2012 stable stable trend -7.1 (-35.3, 33.4)
Bolivar County 6,10 8.9 (5.0, 14.7) 3 2008-2012 * *
Marshall County 6,10 8.9 (5.1, 14.3) 3 2008-2012 * *
Washington County 6,10 7.0 (4.1, 11.1) 4 2008-2012 * *
Amite County 6,10
*
3 or fewer
2008-2012 * *
Attala County 6,10
*
3 or fewer
2008-2012 * *
Benton County 6,10
*
3 or fewer
2008-2012 * *
Calhoun County 6,10
*
3 or fewer
2008-2012 * *
Choctaw County 6,10
*
3 or fewer
2008-2012 * *
Claiborne County 6,10
*
3 or fewer
2008-2012 * *
Clay County 6,10
*
3 or fewer
2008-2012 * *
Coahoma County 6,10
*
3 or fewer
2008-2012 * *
Franklin County 6,10
*
3 or fewer
2008-2012 * *
Greene County 6,10
*
3 or fewer
2008-2012 * *
Holmes County 6,10
*
3 or fewer
2008-2012 * *
Humphreys County 6,10
*
3 or fewer
2008-2012 * *
Issaquena County 6,10
*
3 or fewer
2008-2012 * *
Jefferson County 6,10
*
3 or fewer
2008-2012 * *
Jefferson Davis County 6,10
*
3 or fewer
2008-2012 * *
Kemper County 6,10
*
3 or fewer
2008-2012 * *
Leake County 6,10
*
3 or fewer
2008-2012 * *
Montgomery County 6,10
*
3 or fewer
2008-2012 * *
Noxubee County 6,10
*
3 or fewer
2008-2012 * *
Quitman County 6,10
*
3 or fewer
2008-2012 * *
Sharkey County 6,10
*
3 or fewer
2008-2012 * *
Sunflower County 6,10
*
3 or fewer
2008-2012 * *
Tallahatchie County 6,10
*
3 or fewer
2008-2012 * *
Tate County 6,10
*
3 or fewer
2008-2012 * *
Tunica County 6,10
*
3 or fewer
2008-2012 * *
Walthall County 6,10
*
3 or fewer
2008-2012 * *
Webster County 6,10
*
3 or fewer
2008-2012 * *
Wilkinson County 6,10
*
3 or fewer
2008-2012 * *
Yalobusha County 6,10
*
3 or fewer
2008-2012 * *
Notes:
Created by statecancerprofiles.cancer.gov on 07/31/2015 9:23 am.
Data for the United States does not include data from Nevada.
State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used with NPCR November 2014 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.

Interpret Rankings provides insight into interpreting cancer incidence 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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