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Incidence Rates Table

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Incidence Rate Report for by County

Breast, 2008-2012

All Races (includes Hispanic), Female, All Ages

Sorted by Count
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Arkansas 6,10 107.9 (105.7, 110.1) 1,890 stable stable trend 0.5 (-2.1, 3.1)
US (SEER+NPCR) 1,10 123.0 (122.8, 123.2) 220,205 § stable stable trend -0.5 (-1.7, 0.8)
Pulaski County 6,10 124.3 (117.7, 131.2) 275 stable stable trend 2.0 (-5.2, 9.8)
Benton County 6,10 109.8 (101.4, 118.7) 128 stable stable trend 0.4 (-10.3, 12.4)
Washington County 6,10 115.9 (106.3, 126.2) 109 stable stable trend -0.1 (-4.8, 4.9)
Garland County 6,10 113.8 (102.9, 125.8) 87 stable stable trend -3.4 (-14.4, 9.1)
Sebastian County 6,10 107.9 (97.3, 119.4) 79 stable stable trend -2.9 (-9.7, 4.4)
Saline County 6,10 116.3 (104.7, 128.9) 76 stable stable trend -0.6 (-7.2, 6.6)
Faulkner County 6,10 116.4 (103.7, 130.2) 62 stable stable trend 0.5 (-10.2, 12.5)
Jefferson County 6,10 109.9 (96.5, 124.7) 51 stable stable trend -7.1 (-22.0, 10.6)
White County 6,10 104.9 (91.7, 119.5) 47 stable stable trend -0.3 (-10.0, 10.5)
Baxter County 6,10 121.9 (105.4, 140.7) 47 stable stable trend 2.4 (-15.4, 23.9)
Craighead County 6,10 88.7 (77.4, 101.1) 46 stable stable trend -1.2 (-5.1, 2.7)
Crawford County 6,10 112.8 (97.6, 129.9) 40 stable stable trend 8.2 (-11.8, 32.8)
Lonoke County 6,10 105.1 (90.7, 121.2) 39 stable stable trend 10.6 (-1.1, 23.7)
Pope County 6,10 108.5 (93.3, 125.5) 38 stable stable trend -4.1 (-17.2, 11.2)
Union County 6,10 113.9 (96.0, 134.3) 30 stable stable trend -6.2 (-15.6, 4.3)
Boone County 6,10 101.2 (84.2, 120.8) 27 stable stable trend -4.6 (-17.8, 10.7)
Miller County 6,10 99.4 (82.6, 118.8) 25 stable stable trend 13.0 (-7.3, 37.9)
Crittenden County 6,10 89.7 (74.3, 107.3) 24 stable stable trend 3.4 (-10.8, 19.7)
Mississippi County 6,10 91.7 (75.9, 109.8) 24 stable stable trend 1.4 (-17.3, 24.5)
Greene County 6,10 88.2 (72.2, 106.8) 22 stable stable trend 13.4 (-12.0, 46.2)
Cleburne County 6,10 110.7 (89.2, 136.3) 22 stable stable trend 9.3 (-5.9, 27.1)
Carroll County 6,10 107.9 (87.7, 131.8) 21 stable stable trend -6.1 (-18.4, 8.0)
Ouachita County 6,10 110.0 (89.3, 134.5) 21 stable stable trend 8.2 (-2.7, 20.3)
Independence County 6,10 84.7 (68.7, 103.6) 20 stable stable trend -7.1 (-22.9, 11.9)
Hot Spring County 6,10 92.9 (75.1, 113.9) 20 stable stable trend -2.8 (-35.8, 47.2)
Phillips County 6,10 135.1 (107.6, 167.5) 18 stable stable trend 5.2 (-20.7, 39.6)
Johnson County 6,10 104.6 (82.6, 130.7) 16 stable stable trend -11.5 (-27.8, 8.6)
Conway County 6,10 113.5 (89.2, 142.7) 16 stable stable trend 4.1 (-31.0, 57.0)
Columbia County 6,10 102.9 (80.4, 130.0) 15 stable stable trend -1.2 (-34.0, 47.9)
Sharp County 6,10 111.7 (85.8, 143.8) 15 stable stable trend -12.1 (-38.5, 25.6)
Poinsett County 6,10 91.9 (71.6, 116.4) 15 stable stable trend 7.3 (-1.7, 17.1)
Marion County 6,10 107.0 (81.5, 139.3) 15 stable stable trend 23.7 (-5.5, 62.1)
Van Buren County 6,10 120.6 (92.5, 155.2) 15 stable stable trend 6.2 (-15.5, 33.4)
Polk County 6,10 98.9 (76.3, 126.8) 14
*
*
Randolph County 6,10 109.6 (84.1, 141.0) 14
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*
Ashley County 6,10 100.2 (77.2, 128.1) 14
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*
Clark County 6,10 100.9 (77.6, 129.2) 13
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*
Hempstead County 6,10 97.8 (75.3, 125.1) 13
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*
Yell County 6,10 96.2 (73.8, 123.6) 13
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*
Drew County 6,10 114.7 (87.7, 147.7) 13
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*
Logan County 6,10 81.8 (62.1, 106.4) 12
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*
Arkansas County 6,10 88.4 (67.0, 115.0) 12
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*
Izard County 6,10 114.2 (85.1, 151.7) 12
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*
Lawrence County 6,10 100.0 (75.4, 130.8) 12
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*
Howard County 6,10 134.9 (101.9, 175.6) 12
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*
St. Francis County 6,10 74.7 (56.6, 97.2) 12
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*
Clay County 6,10 98.1 (73.7, 128.8) 12
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*
Grant County 6,10 108.1 (81.5, 141.1) 11
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*
Cross County 6,10 97.4 (72.8, 128.0) 11
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*
Franklin County 6,10 88.3 (65.7, 116.7) 11
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*
Jackson County 6,10 84.4 (62.6, 112.1) 10
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*
Sevier County 6,10 105.3 (77.1, 140.3) 9
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*
Chicot County 6,10 115.3 (82.5, 157.4) 9
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*
Little River County 6,10 109.5 (79.3, 148.2) 9
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*
Madison County 6,10 95.8 (68.9, 130.0) 9
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Stone County 6,10 84.8 (60.5, 117.5) 9
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*
Bradley County 6,10 113.6 (80.4, 156.3) 8
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*
Desha County 6,10 103.1 (72.4, 142.6) 8
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*
Fulton County 6,10 86.2 (59.8, 121.5) 8
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*
Monroe County 6,10 101.9 (70.0, 145.9) 7
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*
Montgomery County 6,10 95.8 (64.5, 138.8) 7
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*
Pike County 6,10 93.8 (63.9, 133.6) 7
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*
Dallas County 6,10 116.9 (78.9, 168.3) 7
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*
Lincoln County 6,10 90.0 (60.8, 129.2) 6
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Perry County 6,10 89.4 (60.3, 129.0) 6
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*
Cleveland County 6,10 104.4 (69.2, 152.2) 6
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Woodruff County 6,10 120.1 (78.2, 177.5) 6
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Lee County 6,10 79.3 (51.5, 118.6) 5
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Scott County 6,10 77.2 (50.0, 114.8) 5
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Lafayette County 6,10 98.7 (61.8, 150.6) 5
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Newton County 6,10 82.2 (51.4, 127.0) 5
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Prairie County 6,10 80.8 (50.5, 124.3) 5
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Searcy County 6,10 72.7 (44.8, 114.4) 5
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*
Nevada County 6,10 70.7 (43.6, 109.9) 4
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Calhoun County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/26/2016 2:30 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. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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.


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