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Incidence Rates Table

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Incidence Rate Report for by County

Colon & Rectum, 2008-2012

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
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 countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Tennessee 6,10 37.7 (36.8, 38.6) 1,466 falling falling trend -3.1 (-5.5, -0.7)
US (SEER+NPCR) 1,10 36.6 (36.5, 36.7) 67,886 § falling falling trend -3.8 (-4.4, -3.2)
Morgan County 6,10 25.0 (14.4, 41.2) 3
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Unicoi County 6,10 26.6 (16.4, 42.5) 4
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Loudon County 6,10 27.0 (19.6, 36.5) 10
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*
McNairy County 6,10 29.0 (19.3, 42.6) 6
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*
Williamson County 6,10 29.8 (25.0, 35.3) 29 stable stable trend 5.8 (-15.6, 32.7)
Carter County 6,10 30.0 (22.6, 39.1) 12
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Monroe County 6,10 30.0 (21.7, 40.7) 9
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Sumner County 6,10 30.3 (25.6, 35.8) 29 stable stable trend -5.4 (-24.4, 18.4)
McMinn County 6,10 30.5 (22.7, 40.2) 11
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Coffee County 6,10 31.2 (23.4, 40.9) 11
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Campbell County 6,10 32.4 (23.7, 43.7) 10
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Polk County 6,10 33.2 (19.6, 53.6) 4
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Knox County 6,10 33.3 (30.3, 36.7) 88 stable stable trend -2.7 (-12.1, 7.6)
Montgomery County 6,10 34.0 (28.1, 40.8) 24 stable stable trend -2.5 (-28.3, 32.7)
Bradley County 6,10 34.3 (28.2, 41.6) 22 stable stable trend -3.5 (-24.7, 23.8)
Greene County 6,10 34.8 (27.5, 43.5) 17 stable stable trend -0.1 (-13.1, 14.9)
Lincoln County 6,10 35.0 (25.2, 47.8) 9
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Cumberland County 6,10 35.1 (27.2, 44.8) 16 stable stable trend -9.0 (-34.0, 25.5)
Cocke County 6,10 35.5 (25.5, 48.4) 9
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Washington County 6,10 35.6 (29.9, 42.1) 29 stable stable trend -6.3 (-26.3, 19.1)
Sequatchie County 6,10 35.8 (20.6, 58.8) 3
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Sullivan County 6,10 35.9 (31.1, 41.3) 43 stable stable trend 2.8 (-13.3, 22.0)
Grainger County 6,10 36.1 (23.5, 53.6) 5
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Wilson County 6,10 36.2 (29.8, 43.6) 23 stable stable trend -10.0 (-39.2, 33.2)
Scott County 6,10 36.3 (22.8, 55.0) 5
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Madison County 6,10 36.6 (30.1, 44.3) 22 stable stable trend 4.8 (-12.6, 25.8)
Maury County 6,10 36.8 (29.6, 45.4) 18 stable stable trend 4.1 (-13.3, 24.9)
Hamilton County 6,10 36.9 (33.4, 40.8) 83 stable stable trend -3.9 (-14.9, 8.3)
White County 6,10 37.0 (25.5, 52.4) 7
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Weakley County 6,10 37.1 (26.8, 50.4) 9
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Union County 6,10 37.1 (23.1, 57.1) 4
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Jefferson County 6,10 37.2 (28.3, 48.2) 12
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Lawrence County 6,10 37.2 (27.4, 49.6) 10
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Fentress County 6,10 37.9 (24.0, 57.9) 5
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Blount County 6,10 38.0 (32.2, 44.6) 32 stable stable trend 0.2 (-15.0, 18.2)
Davidson County 6,10 38.2 (35.2, 41.3) 126 stable stable trend -7.8 (-17.1, 2.6)
Hawkins County 6,10 38.4 (30.0, 48.7) 15 stable stable trend -6.0 (-30.3, 26.7)
Marshall County 6,10 38.7 (26.8, 54.3) 7
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Claiborne County 6,10 39.1 (28.0, 53.6) 8
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Bedford County 6,10 39.2 (29.0, 51.8) 10
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Dyer County 6,10 39.2 (29.0, 52.2) 10
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Anderson County 6,10 39.4 (32.2, 47.9) 22 stable stable trend -10.9 (-23.2, 3.3)
Marion County 6,10 39.6 (27.6, 55.4) 7
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Sevier County 6,10 39.6 (32.5, 47.8) 23 stable stable trend 3.2 (-21.7, 36.0)
Hamblen County 6,10 39.7 (31.2, 49.9) 16 stable stable trend -11.0 (-28.8, 11.3)
Shelby County 6,10 40.2 (37.7, 42.8) 203 falling falling trend -6.4 (-10.9, -1.6)
Carroll County 6,10 40.3 (28.6, 55.6) 8
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Hardin County 6,10 40.3 (28.3, 56.2) 8
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Rutherford County 6,10 40.4 (35.2, 46.1) 46 stable stable trend 0.7 (-8.9, 11.3)
Henry County 6,10 40.6 (29.6, 54.9) 10
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Warren County 6,10 40.6 (30.3, 53.7) 11
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Chester County 6,10 40.7 (24.8, 63.4) 4
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Putnam County 6,10 40.8 (32.8, 50.3) 19 stable stable trend 4.1 (-16.1, 29.2)
Johnson County 6,10 41.7 (27.3, 62.4) 6
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Bledsoe County 6,10 42.4 (24.4, 70.0) 3
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Benton County 6,10 42.6 (28.7, 62.7) 6
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Grundy County 6,10 43.0 (26.1, 67.7) 4
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Wayne County 6,10 43.0 (27.7, 65.1) 5
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Obion County 6,10 43.0 (31.2, 58.0) 9
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Macon County 6,10 43.5 (29.0, 62.9) 6
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Gibson County 6,10 43.5 (34.3, 54.5) 16 stable stable trend -0.4 (-19.2, 22.7)
Henderson County 6,10 43.5 (30.9, 59.9) 8
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Humphreys County 6,10 43.7 (29.2, 63.7) 6
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Haywood County 6,10 43.8 (28.6, 64.8) 5
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Tipton County 6,10 44.2 (34.4, 55.8) 14
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Roane County 6,10 44.4 (35.5, 55.1) 18 rising rising trend 11.4 (2.0, 21.6)
DeKalb County 6,10 44.4 (28.9, 65.9) 5
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Meigs County 6,10 44.5 (24.9, 74.3) 3
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Crockett County 6,10 44.6 (27.6, 69.0) 5
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Robertson County 6,10 44.6 (35.3, 55.8) 16 stable stable trend -5.2 (-33.9, 35.7)
Franklin County 6,10 44.6 (34.2, 57.6) 13
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Overton County 6,10 44.8 (30.7, 63.7) 7
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Smith County 6,10 45.2 (29.0, 67.5) 5
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Hickman County 6,10 45.4 (31.3, 64.2) 7
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Fayette County 6,10 47.0 (35.1, 61.9) 11
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Rhea County 6,10 48.8 (35.8, 65.2) 10
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Hardeman County 6,10 49.2 (34.8, 67.9) 8
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Dickson County 6,10 49.3 (38.6, 62.2) 15 stable stable trend 2.4 (-10.4, 17.0)
Giles County 6,10 50.1 (36.9, 66.8) 10
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Cheatham County 6,10 50.1 (36.8, 66.7) 10
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Cannon County 6,10 51.4 (33.5, 76.9) 5
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Stewart County 6,10 54.8 (34.8, 83.4) 5
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Lauderdale County 6,10 54.9 (39.6, 74.5) 9
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Lewis County 6,10 60.7 (38.3, 92.3) 5
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Clay County 6,10
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3 or fewer
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Decatur County 6,10
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3 or fewer
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*
Hancock County 6,10
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3 or fewer
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Houston County 6,10
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3 or fewer
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Jackson County 6,10
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3 or fewer
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*
Lake County 6,10
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3 or fewer
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Moore County 6,10
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3 or fewer
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*
Perry County 6,10
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3 or fewer
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*
Pickett County 6,10
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3 or fewer
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Trousdale County 6,10
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3 or fewer
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Van Buren County 6,10
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 05/03/2016 12:58 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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