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Incidence Rates Table

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Incidence Rate Report for Arkansas by County

All Races (includes Hispanic), Both Sexes, All Cancer Sites, All Ages
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County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
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Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Arkansas 6,10 442.2 (439.0, 445.4) 14,806 2008-2012 falling falling trend -1.0 (-1.7, -0.2)
US (SEER+NPCR) 1,10 453.8 (453.5, 454.1) 1,526,274 § 2008-2012 falling falling trend -2.1 (-2.9, -1.2)
Jackson County 6,10 532.1 (489.6, 577.6) 119 2008-2012 stable stable trend -2.1 (-19.3, 18.8)
Monroe County 6,10 515.3 (457.2, 579.5) 61 2008-2012 falling falling trend -6.6 (-9.2, -3.9)
Grant County 6,10 502.9 (460.2, 548.7) 106 2008-2012 stable stable trend 3.6 (-11.4, 21.2)
Jefferson County 6,10 502.1 (480.8, 524.1) 435 2008-2012 stable stable trend -0.1 (-6.8, 7.2)
Union County 6,10 494.4 (467.2, 522.9) 255 2008-2012 stable stable trend -4.9 (-10.3, 0.9)
Sharp County 6,10 493.4 (453.9, 535.7) 134 2008-2012 stable stable trend -7.7 (-16.4, 1.9)
Woodruff County 6,10 492.6 (431.3, 560.8) 50 2008-2012 stable stable trend 4.6 (-7.6, 18.5)
Lonoke County 6,10 492.3 (468.4, 517.1) 331 2008-2012 stable stable trend 1.0 (-3.6, 5.9)
Baxter County 6,10 490.9 (466.7, 516.4) 370 2008-2012 stable stable trend -1.4 (-5.5, 2.9)
Perry County 6,10 484.6 (432.2, 542.0) 65 2008-2012 stable stable trend -5.7 (-23.7, 16.5)
Poinsett County 6,10 480.5 (445.6, 517.6) 145 2008-2012 stable stable trend -1.0 (-9.5, 8.4)
Pope County 6,10 475.7 (452.1, 500.2) 313 2008-2012 stable stable trend -1.2 (-9.5, 7.9)
White County 6,10 473.3 (452.7, 494.6) 406 2008-2012 stable stable trend 1.2 (-3.8, 6.5)
Dallas County 6,10 472.7 (416.0, 535.5) 53 2008-2012 stable stable trend 2.6 (-13.0, 20.9)
Pulaski County 6,10 472.3 (462.7, 482.1) 1,908 2008-2012 stable stable trend -0.7 (-4.0, 2.7)
Arkansas County 6,10 468.1 (429.9, 509.0) 116 2008-2012 stable stable trend -3.6 (-9.8, 2.9)
Garland County 6,10 464.4 (448.2, 481.2) 665 2008-2012 stable stable trend -1.0 (-5.8, 3.9)
Cleveland County 6,10 462.3 (406.5, 524.1) 51 2008-2012 stable stable trend -8.5 (-19.3, 3.6)
Saline County 6,10 461.3 (444.5, 478.6) 590 2008-2012 stable stable trend -1.7 (-5.5, 2.1)
Cleburne County 6,10 460.8 (430.2, 493.2) 189 2008-2012 stable stable trend -2.0 (-7.4, 3.8)
Bradley County 6,10 456.2 (407.9, 509.0) 68 2008-2012 stable stable trend -0.0 (-13.6, 15.6)
Drew County 6,10 455.8 (415.8, 498.7) 98 2008-2012 stable stable trend -4.8 (-17.7, 10.2)
Desha County 6,10 455.6 (408.9, 506.5) 73 2008-2012 stable stable trend -0.3 (-15.6, 17.8)
Prairie County 6,10 449.5 (396.3, 508.6) 55 2008-2012 stable stable trend 2.6 (-7.5, 13.8)
Faulkner County 6,10 449.0 (430.4, 468.2) 455 2008-2012 stable stable trend 0.9 (-2.7, 4.5)
Yell County 6,10 445.9 (410.2, 484.1) 117 2008-2012 stable stable trend 2.4 (-7.7, 13.7)
Searcy County 6,10 445.8 (393.0, 504.7) 57 2008-2012 stable stable trend -3.9 (-16.0, 10.0)
Conway County 6,10 443.9 (408.4, 481.8) 120 2008-2012 stable stable trend -4.3 (-13.4, 5.7)
Lawrence County 6,10 442.5 (404.1, 483.7) 102 2008-2012 stable stable trend -2.4 (-10.5, 6.4)
Marion County 6,10 442.0 (405.5, 481.4) 126 2008-2012 stable stable trend 6.4 (-0.3, 13.4)
Crawford County 6,10 439.8 (417.2, 463.2) 296 2008-2012 stable stable trend 1.8 (-6.5, 10.7)
Independence County 6,10 438.6 (411.2, 467.5) 196 2008-2012 stable stable trend -5.1 (-12.2, 2.7)
Phillips County 6,10 438.5 (401.9, 477.7) 110 2008-2012 stable stable trend 0.1 (-8.1, 9.0)
Howard County 6,10 434.6 (389.8, 483.3) 71 2008-2012 stable stable trend -6.8 (-14.2, 1.3)
Cross County 6,10 433.4 (394.2, 475.6) 93 2008-2012 stable stable trend 0.6 (-16.5, 21.4)
Clay County 6,10 433.2 (394.6, 474.8) 98 2008-2012 stable stable trend -1.1 (-6.3, 4.4)
Ashley County 6,10 430.8 (396.2, 467.8) 119 2008-2012 stable stable trend 0.1 (-13.2, 15.3)
Washington County 6,10 430.3 (416.5, 444.5) 756 2008-2012 stable stable trend 0.1 (-3.3, 3.7)
Sebastian County 6,10 429.4 (413.7, 445.5) 583 2008-2012 stable stable trend 1.3 (-6.0, 9.2)
Ouachita County 6,10 426.8 (395.9, 459.6) 148 2008-2012 stable stable trend -2.7 (-7.3, 2.0)
Boone County 6,10 426.3 (400.3, 453.7) 210 2008-2012 stable stable trend -2.9 (-10.1, 5.0)
Randolph County 6,10 425.6 (388.7, 465.3) 103 2008-2012 stable stable trend -2.7 (-14.6, 11.0)
Logan County 6,10 424.7 (391.4, 460.3) 125 2008-2012 falling falling trend -6.9 (-9.9, -3.9)
Van Buren County 6,10 424.0 (387.7, 463.1) 113 2008-2012 stable stable trend 0.8 (-8.5, 10.9)
Miller County 6,10 423.4 (397.6, 450.5) 206 2008-2012 stable stable trend 6.4 (-0.1, 13.4)
Hot Spring County 6,10 422.1 (394.0, 451.9) 174 2008-2012 stable stable trend 1.0 (-7.4, 10.1)
Izard County 6,10 420.0 (380.9, 462.8) 93 2008-2012 stable stable trend -3.9 (-11.4, 4.3)
Columbia County 6,10 414.9 (381.8, 450.3) 120 2008-2012 stable stable trend 3.3 (-5.0, 12.3)
Greene County 6,10 414.1 (388.4, 441.2) 197 2008-2012 stable stable trend -0.8 (-5.2, 3.8)
Scott County 6,10 410.0 (363.7, 460.9) 60 2008-2012 stable stable trend 1.8 (-12.9, 19.0)
Stone County 6,10 408.4 (367.1, 453.7) 81 2008-2012 stable stable trend 0.2 (-3.7, 4.3)
Nevada County 6,10 407.9 (356.2, 465.3) 48 2008-2012 stable stable trend -4.9 (-21.9, 15.7)
Chicot County 6,10 403.9 (359.6, 452.6) 63 2008-2012 stable stable trend 2.2 (-15.9, 24.2)
Mississippi County 6,10 403.3 (377.9, 429.9) 194 2008-2012 stable stable trend -4.7 (-12.4, 3.8)
Lincoln County 6,10 402.4 (358.0, 450.9) 61 2008-2012 stable stable trend -9.2 (-17.9, 0.5)
Clark County 6,10 401.9 (367.5, 438.7) 104 2008-2012 stable stable trend -1.4 (-14.4, 13.6)
Pike County 6,10 401.8 (356.0, 452.3) 58 2008-2012 stable stable trend 2.6 (-11.1, 18.3)
Benton County 6,10 401.0 (389.2, 413.1) 887 2008-2012 stable stable trend 0.5 (-3.8, 5.0)
Montgomery County 6,10 400.3 (352.9, 453.1) 58 2008-2012 stable stable trend -6.2 (-29.8, 25.1)
Newton County 6,10 397.4 (345.7, 455.5) 48 2008-2012 stable stable trend -3.4 (-15.9, 11.0)
Polk County 6,10 396.4 (363.5, 431.7) 116 2008-2012 stable stable trend 3.7 (-3.8, 11.9)
Franklin County 6,10 396.3 (360.4, 435.0) 92 2008-2012 stable stable trend -8.4 (-21.2, 6.6)
Johnson County 6,10 395.3 (363.3, 429.4) 116 2008-2012 stable stable trend 0.1 (-9.0, 10.1)
Fulton County 6,10 394.1 (353.6, 438.6) 78 2008-2012 stable stable trend -7.2 (-14.9, 1.3)
Madison County 6,10 393.4 (354.0, 436.2) 77 2008-2012 stable stable trend -4.7 (-20.7, 14.4)
Little River County 6,10 392.5 (350.8, 438.2) 68 2008-2012 stable stable trend 0.1 (-16.6, 20.2)
Crittenden County 6,10 389.9 (364.9, 416.1) 190 2008-2012 stable stable trend 0.4 (-7.5, 9.1)
Sevier County 6,10 388.4 (347.8, 432.4) 68 2008-2012 stable stable trend -6.7 (-15.3, 2.7)
Craighead County 6,10 387.1 (369.6, 405.3) 374 2008-2012 stable stable trend -1.8 (-7.8, 4.6)
Lee County 6,10 382.4 (335.8, 434.0) 50 2008-2012 stable stable trend 1.9 (-5.8, 10.2)
Hempstead County 6,10 380.6 (347.7, 415.8) 102 2008-2012 falling falling trend -8.1 (-14.8, -0.8)
Carroll County 6,10 380.4 (352.1, 410.5) 146 2008-2012 falling falling trend -6.0 (-7.7, -4.4)
St. Francis County 6,10 375.9 (344.9, 409.0) 113 2008-2012 stable stable trend -3.6 (-16.8, 11.7)
Calhoun County 6,10 364.5 (304.6, 434.0) 27 2008-2012 stable stable trend 6.1 (-16.2, 34.5)
Lafayette County 6,10 364.1 (313.4, 421.4) 39 2008-2012 stable stable trend -6.1 (-26.9, 20.7)
Notes:
Created by statecancerprofiles.cancer.gov on 07/30/2015 11:04 pm.
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.

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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