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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 Name
County
sort sort alphabetically by namedescending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countdescending
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)
Arkansas County 6,10 88.4 (67.0, 115.0) 12
*
*
Ashley County 6,10 100.2 (77.2, 128.1) 14
*
*
Baxter County 6,10 121.9 (105.4, 140.7) 47 stable stable trend 2.4 (-15.4, 23.9)
Benton County 6,10 109.8 (101.4, 118.7) 128 stable stable trend 0.4 (-10.3, 12.4)
Boone County 6,10 101.2 (84.2, 120.8) 27 stable stable trend -4.6 (-17.8, 10.7)
Bradley County 6,10 113.6 (80.4, 156.3) 8
*
*
Calhoun County 6,10
*
3 or fewer
*
*
Carroll County 6,10 107.9 (87.7, 131.8) 21 stable stable trend -6.1 (-18.4, 8.0)
Chicot County 6,10 115.3 (82.5, 157.4) 9
*
*
Clark County 6,10 100.9 (77.6, 129.2) 13
*
*
Clay County 6,10 98.1 (73.7, 128.8) 12
*
*
Cleburne County 6,10 110.7 (89.2, 136.3) 22 stable stable trend 9.3 (-5.9, 27.1)
Cleveland County 6,10 104.4 (69.2, 152.2) 6
*
*
Columbia County 6,10 102.9 (80.4, 130.0) 15 stable stable trend -1.2 (-34.0, 47.9)
Conway County 6,10 113.5 (89.2, 142.7) 16 stable stable trend 4.1 (-31.0, 57.0)
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)
Crittenden County 6,10 89.7 (74.3, 107.3) 24 stable stable trend 3.4 (-10.8, 19.7)
Cross County 6,10 97.4 (72.8, 128.0) 11
*
*
Dallas County 6,10 116.9 (78.9, 168.3) 7
*
*
Desha County 6,10 103.1 (72.4, 142.6) 8
*
*
Drew County 6,10 114.7 (87.7, 147.7) 13
*
*
Faulkner County 6,10 116.4 (103.7, 130.2) 62 stable stable trend 0.5 (-10.2, 12.5)
Franklin County 6,10 88.3 (65.7, 116.7) 11
*
*
Fulton County 6,10 86.2 (59.8, 121.5) 8
*
*
Garland County 6,10 113.8 (102.9, 125.8) 87 stable stable trend -3.4 (-14.4, 9.1)
Grant County 6,10 108.1 (81.5, 141.1) 11
*
*
Greene County 6,10 88.2 (72.2, 106.8) 22 stable stable trend 13.4 (-12.0, 46.2)
Hempstead County 6,10 97.8 (75.3, 125.1) 13
*
*
Hot Spring County 6,10 92.9 (75.1, 113.9) 20 stable stable trend -2.8 (-35.8, 47.2)
Howard County 6,10 134.9 (101.9, 175.6) 12
*
*
Independence County 6,10 84.7 (68.7, 103.6) 20 stable stable trend -7.1 (-22.9, 11.9)
Izard County 6,10 114.2 (85.1, 151.7) 12
*
*
Jackson County 6,10 84.4 (62.6, 112.1) 10
*
*
Jefferson County 6,10 109.9 (96.5, 124.7) 51 stable stable trend -7.1 (-22.0, 10.6)
Johnson County 6,10 104.6 (82.6, 130.7) 16 stable stable trend -11.5 (-27.8, 8.6)
Lafayette County 6,10 98.7 (61.8, 150.6) 5
*
*
Lawrence County 6,10 100.0 (75.4, 130.8) 12
*
*
Lee County 6,10 79.3 (51.5, 118.6) 5
*
*
Lincoln County 6,10 90.0 (60.8, 129.2) 6
*
*
Little River County 6,10 109.5 (79.3, 148.2) 9
*
*
Logan County 6,10 81.8 (62.1, 106.4) 12
*
*
Lonoke County 6,10 105.1 (90.7, 121.2) 39 stable stable trend 10.6 (-1.1, 23.7)
Madison County 6,10 95.8 (68.9, 130.0) 9
*
*
Marion County 6,10 107.0 (81.5, 139.3) 15 stable stable trend 23.7 (-5.5, 62.1)
Miller County 6,10 99.4 (82.6, 118.8) 25 stable stable trend 13.0 (-7.3, 37.9)
Mississippi County 6,10 91.7 (75.9, 109.8) 24 stable stable trend 1.4 (-17.3, 24.5)
Monroe County 6,10 101.9 (70.0, 145.9) 7
*
*
Montgomery County 6,10 95.8 (64.5, 138.8) 7
*
*
Nevada County 6,10 70.7 (43.6, 109.9) 4
*
*
Newton County 6,10 82.2 (51.4, 127.0) 5
*
*
Ouachita County 6,10 110.0 (89.3, 134.5) 21 stable stable trend 8.2 (-2.7, 20.3)
Perry County 6,10 89.4 (60.3, 129.0) 6
*
*
Phillips County 6,10 135.1 (107.6, 167.5) 18 stable stable trend 5.2 (-20.7, 39.6)
Pike County 6,10 93.8 (63.9, 133.6) 7
*
*
Poinsett County 6,10 91.9 (71.6, 116.4) 15 stable stable trend 7.3 (-1.7, 17.1)
Polk County 6,10 98.9 (76.3, 126.8) 14
*
*
Pope County 6,10 108.5 (93.3, 125.5) 38 stable stable trend -4.1 (-17.2, 11.2)
Prairie County 6,10 80.8 (50.5, 124.3) 5
*
*
Pulaski County 6,10 124.3 (117.7, 131.2) 275 stable stable trend 2.0 (-5.2, 9.8)
Randolph County 6,10 109.6 (84.1, 141.0) 14
*
*
Saline County 6,10 116.3 (104.7, 128.9) 76 stable stable trend -0.6 (-7.2, 6.6)
Scott County 6,10 77.2 (50.0, 114.8) 5
*
*
Searcy County 6,10 72.7 (44.8, 114.4) 5
*
*
Sebastian County 6,10 107.9 (97.3, 119.4) 79 stable stable trend -2.9 (-9.7, 4.4)
Sevier County 6,10 105.3 (77.1, 140.3) 9
*
*
Sharp County 6,10 111.7 (85.8, 143.8) 15 stable stable trend -12.1 (-38.5, 25.6)
St. Francis County 6,10 74.7 (56.6, 97.2) 12
*
*
Stone County 6,10 84.8 (60.5, 117.5) 9
*
*
Union County 6,10 113.9 (96.0, 134.3) 30 stable stable trend -6.2 (-15.6, 4.3)
Van Buren County 6,10 120.6 (92.5, 155.2) 15 stable stable trend 6.2 (-15.5, 33.4)
Washington County 6,10 115.9 (106.3, 126.2) 109 stable stable trend -0.1 (-4.8, 4.9)
White County 6,10 104.9 (91.7, 119.5) 47 stable stable trend -0.3 (-10.0, 10.5)
Woodruff County 6,10 120.1 (78.2, 177.5) 6
*
*
Yell County 6,10 96.2 (73.8, 123.6) 13
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/30/2016 1:05 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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