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Incidence Rates Table

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Incidence Rate Report for Arkansas by County

All Races (includes Hispanic), Female, Lung & Bronchus, All Ages
Sorted by Count
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

sort sort by ratedescending
Average Annual Count
over rate period
sort sort by countascending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Arkansas 6,10 58.5 (57.0, 60.1) 1,086 2008-2012 stable stable trend -0.9 (-4.3, 2.6)
US (SEER+NPCR) 1,10 54.1 (53.9, 54.2) 99,801 § 2008-2012 falling falling trend -2.0 (-2.6, -1.5)
Pulaski County 6,10 54.4 (50.1, 58.9) 122 2008-2012 stable stable trend -2.4 (-12.0, 8.2)
Benton County 6,10 45.7 (40.4, 51.6) 55 2008-2012 stable stable trend 2.5 (-14.2, 22.4)
Garland County 6,10 61.8 (54.2, 70.5) 50 2008-2012 stable stable trend 3.3 (-16.0, 27.1)
Sebastian County 6,10 62.1 (54.3, 70.8) 47 2008-2012 stable stable trend 1.8 (-5.3, 9.5)
Washington County 6,10 49.1 (42.9, 56.0) 46 2008-2012 stable stable trend -2.0 (-12.4, 9.7)
Saline County 6,10 60.1 (52.1, 69.0) 41 2008-2012 stable stable trend -2.1 (-20.4, 20.6)
Jefferson County 6,10 68.1 (58.0, 79.6) 33 2008-2012 stable stable trend 13.0 (-6.2, 36.2)
Craighead County 6,10 58.0 (49.3, 68.0) 32 2008-2012 stable stable trend -6.1 (-19.6, 9.7)
White County 6,10 65.7 (55.7, 77.1) 31 2008-2012 stable stable trend 6.6 (-7.5, 22.7)
Faulkner County 6,10 52.3 (44.0, 61.8) 29 2008-2012 stable stable trend -0.3 (-3.3, 2.9)
Baxter County 6,10 64.3 (53.6, 77.3) 28 2008-2012 stable stable trend 11.5 (-14.0, 44.6)
Pope County 6,10 66.0 (54.7, 79.0) 24 2008-2012 stable stable trend -0.1 (-22.0, 28.0)
Lonoke County 6,10 65.6 (54.2, 78.7) 24 2008-2012 stable stable trend -2.0 (-17.7, 16.7)
Crawford County 6,10 56.4 (46.2, 68.4) 22 2008-2012 stable stable trend 1.7 (-20.9, 30.7)
Miller County 6,10 76.7 (62.5, 93.3) 21 2008-2012 stable stable trend 4.0 (-3.1, 11.6)
Union County 6,10 70.5 (57.2, 86.3) 20 2008-2012 stable stable trend 4.9 (-13.3, 26.9)
Cleburne County 6,10 72.0 (56.7, 91.0) 16 2008-2012 stable stable trend -0.5 (-18.9, 22.2)
Crittenden County 6,10 59.2 (46.8, 73.8) 16 2008-2012 stable stable trend 7.5 (-8.3, 26.1)
Hot Spring County 6,10 70.7 (55.9, 88.6) 16 2008-2012 rising rising trend 5.7 (5.0, 6.3)
Mississippi County 6,10 59.9 (47.5, 74.7) 16 2008-2012 stable stable trend -8.5 (-20.9, 5.8)
Poinsett County 6,10 88.5 (69.4, 111.7) 15 2008-2012 stable stable trend 5.1 (-17.0, 33.0)
Greene County 6,10 52.6 (41.0, 66.7) 14 2008-2012
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Boone County 6,10 50.6 (39.1, 64.8) 14 2008-2012
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Ouachita County 6,10 64.8 (49.7, 83.5) 13 2008-2012
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Sharp County 6,10 78.3 (58.6, 103.7) 12 2008-2012
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Independence County 6,10 48.3 (36.6, 62.8) 12 2008-2012
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Johnson County 6,10 73.7 (55.7, 95.9) 12 2008-2012
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Lawrence County 6,10 80.6 (59.9, 107.0) 11 2008-2012
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Jackson County 6,10 85.6 (63.6, 113.5) 10 2008-2012
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Randolph County 6,10 78.4 (57.5, 105.1) 10 2008-2012
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Yell County 6,10 70.6 (52.4, 93.4) 10 2008-2012
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Clay County 6,10 77.8 (57.3, 104.6) 10 2008-2012
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Logan County 6,10 60.3 (44.5, 80.6) 10 2008-2012
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Arkansas County 6,10 73.9 (53.8, 99.5) 10 2008-2012
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Conway County 6,10 65.0 (47.5, 87.4) 9 2008-2012
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Phillips County 6,10 62.5 (45.3, 84.4) 9 2008-2012
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Marion County 6,10 53.9 (38.8, 75.2) 9 2008-2012
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Polk County 6,10 52.0 (37.5, 71.3) 9 2008-2012
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Carroll County 6,10 40.2 (28.8, 55.3) 9 2008-2012
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Clark County 6,10 54.6 (39.2, 74.6) 8 2008-2012
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Columbia County 6,10 50.7 (36.1, 69.8) 8 2008-2012
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Grant County 6,10 71.0 (50.7, 97.3) 8 2008-2012
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Van Buren County 6,10 52.6 (37.2, 73.9) 8 2008-2012
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Ashley County 6,10 49.2 (34.7, 68.4) 8 2008-2012
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Franklin County 6,10 62.4 (43.9, 86.8) 8 2008-2012
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Drew County 6,10 60.7 (42.5, 84.7) 7 2008-2012
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Cross County 6,10 55.8 (38.2, 79.2) 7 2008-2012
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St. Francis County 6,10 43.7 (30.0, 61.8) 7 2008-2012
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Perry County 6,10 88.6 (60.3, 127.2) 6 2008-2012
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Chicot County 6,10 71.5 (48.3, 103.6) 6 2008-2012
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Scott County 6,10 76.5 (51.8, 110.6) 6 2008-2012
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Fulton County 6,10 56.2 (36.3, 84.9) 6 2008-2012
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Hempstead County 6,10 39.1 (26.1, 56.8) 6 2008-2012
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Little River County 6,10 62.7 (41.4, 92.3) 6 2008-2012
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Madison County 6,10 51.4 (33.5, 76.4) 5 2008-2012
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Howard County 6,10 58.8 (38.2, 87.1) 5 2008-2012
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Monroe County 6,10 72.3 (46.3, 110.5) 5 2008-2012
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Prairie County 6,10 76.6 (48.9, 116.8) 5 2008-2012
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Bradley County 6,10 58.3 (37.0, 88.8) 5 2008-2012
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Stone County 6,10 39.8 (25.4, 62.3) 5 2008-2012
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Montgomery County 6,10 62.7 (38.9, 98.2) 5 2008-2012
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Woodruff County 6,10 81.7 (50.8, 127.0) 5 2008-2012
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Izard County 6,10 34.4 (21.4, 55.4) 4 2008-2012
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Pike County 6,10 56.5 (35.1, 87.4) 4 2008-2012
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Sevier County 6,10 46.0 (28.8, 70.1) 4 2008-2012
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Desha County 6,10 41.5 (25.3, 65.5) 4 2008-2012
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Lincoln County 6,10 51.0 (30.6, 81.1) 4 2008-2012
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Nevada County 6,10 55.6 (32.5, 90.7) 4 2008-2012
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Dallas County 6,10 56.1 (32.3, 93.0) 3 2008-2012
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Lafayette County 6,10 55.0 (31.8, 91.9) 3 2008-2012
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Lee County 6,10 46.3 (26.7, 77.2) 3 2008-2012
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Newton County 6,10 45.7 (25.8, 79.0) 3 2008-2012
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Calhoun County 6,10
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3 or fewer
2008-2012
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Cleveland County 6,10
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3 or fewer
2008-2012
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Searcy County 6,10
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3 or fewer
2008-2012
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Notes:
Created by statecancerprofiles.cancer.gov on 08/31/2015 5:48 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.
* 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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