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Incidence Rates Table

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Incidence Rate Report for by County

Colon & Rectum, 2009-2013

All Races (includes Hispanic), Both Sexes, 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
North Dakota 6,10 47.1 (44.9, 49.3) 374 stable stable trend 0.6 (-4.1, 5.7)
US (SEER+NPCR) 1,10 40.6 (40.5, 40.7) 139,095 falling falling trend -3.0 (-3.7, -2.3)
Cass County 6,10 36.9 (32.5, 41.9) 51 stable stable trend 0.4 (-6.9, 8.2)
Ramsey County 6,10 37.3 (24.6, 54.9) 6 stable stable trend -9.0 (-47.5, 57.7)
Traill County 6,10 37.8 (22.8, 59.8) 4 falling falling trend -30.9 (-38.3, -22.7)
Barnes County 6,10 40.9 (28.4, 58.1) 7 stable stable trend 21.8 (-17.2, 79.2)
Cavalier County 6,10 41.4 (23.8, 73.0) 3
*
*
Mercer County 6,10 42.3 (27.4, 63.6) 5 stable stable trend -14.5 (-41.6, 25.3)
Grand Forks County 6,10 45.3 (37.7, 53.9) 27 stable stable trend -2.3 (-16.9, 14.7)
Dickey County 6,10 45.6 (27.5, 73.7) 4
*
*
Burleigh County 6,10 46.3 (40.3, 53.0) 44 stable stable trend 3.8 (-11.4, 21.6)
McKenzie County 6,10 48.0 (28.8, 75.5) 4 stable stable trend 22.3 (-22.3, 92.4)
Ward County 6,10 48.1 (40.6, 56.4) 31 stable stable trend 3.0 (-8.9, 16.6)
Stutsman County 6,10 48.9 (37.7, 62.5) 14 stable stable trend -3.3 (-27.0, 28.0)
Walsh County 6,10 50.0 (34.6, 70.4) 8 stable stable trend 20.2 (-30.9, 109.0)
LaMoure County 6,10 50.5 (28.1, 87.2) 4 stable stable trend -15.2 (-30.4, 3.4)
Benson County 6,10 51.5 (30.8, 81.2) 4 stable stable trend 16.1 (-33.9, 104.2)
Bottineau County 6,10 51.7 (33.1, 78.6) 5 stable stable trend -3.6 (-20.4, 16.7)
Pembina County 6,10 54.8 (37.6, 79.0) 7 stable stable trend -11.6 (-53.9, 69.4)
Williams County 6,10 55.7 (43.6, 70.2) 15 stable stable trend -6.0 (-23.1, 14.8)
Stark County 6,10 56.2 (44.5, 70.2) 17 stable stable trend 10.5 (-17.4, 47.9)
Morton County 6,10 57.8 (46.7, 70.9) 19 stable stable trend -0.0 (-27.7, 38.2)
Rolette County 6,10 61.4 (43.1, 84.6) 8 stable stable trend 15.2 (-21.6, 69.4)
Bowman County 6,10 63.2 (36.3, 106.9) 3
*
*
Richland County 6,10 64.9 (49.3, 84.1) 12 stable stable trend -8.9 (-36.7, 31.1)
Mountrail County 6,10 66.0 (43.5, 96.1) 6 stable stable trend 2.4 (-28.0, 45.7)
McLean County 6,10 72.1 (52.7, 97.4) 10 stable stable trend 20.6 (-12.5, 66.3)
Sargent County 6,10 74.9 (44.2, 120.9) 4 stable stable trend -8.6 (-34.2, 26.9)
Ransom County 6,10 76.4 (50.0, 113.1) 6 stable stable trend -2.7 (-46.7, 77.7)
Adams County 6,10
*
3 or fewer
*
*
Billings County 6,10
*
3 or fewer
*
*
Burke County 6,10
*
3 or fewer
*
*
Divide County 6,10
*
3 or fewer
*
*
Dunn County 6,10
*
3 or fewer
*
*
Eddy County 6,10
*
3 or fewer
*
*
Emmons County 6,10
*
3 or fewer
*
*
Foster County 6,10
*
3 or fewer
*
*
Golden Valley County 6,10
*
3 or fewer
*
*
Grant County 6,10
*
3 or fewer
*
*
Griggs County 6,10
*
3 or fewer
*
*
Hettinger County 6,10
*
3 or fewer
*
*
Kidder County 6,10
*
3 or fewer
*
*
Logan County 6,10
*
3 or fewer
*
*
McHenry County 6,10
*
3 or fewer
*
*
McIntosh County 6,10
*
3 or fewer
*
*
Nelson County 6,10
*
3 or fewer
*
*
Oliver County 6,10
*
3 or fewer
*
*
Pierce County 6,10
*
3 or fewer
*
*
Renville County 6,10
*
3 or fewer
*
*
Sheridan County 6,10
*
3 or fewer
*
*
Sioux County 6,10
*
3 or fewer
*
*
Slope County 6,10
*
3 or fewer
*
*
Steele County 6,10
*
3 or fewer
*
*
Towner County 6,10
*
3 or fewer
*
*
Wells County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/27/2016 4:58 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 1969-2014 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records 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 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
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 1969-2014 US Population Data File is used with NPCR November 2015 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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