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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), 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
California 3,9 33.6 (33.3, 34.0) 6,943 falling falling trend -3.9 (-4.5, -3.3)
US (SEER+NPCR) 1,10 35.5 (35.4, 35.7) 66,990 falling falling trend -3.0 (-3.7, -2.4)
Lassen County 7,9 21.6 (12.6, 35.1) 4 stable stable trend -21.3 (-59.6, 53.5)
Monterey County 7,9 24.9 (22.0, 28.2) 53 stable stable trend 0.9 (-12.0, 15.8)
Inyo County 7,9 26.0 (15.9, 41.8) 4 stable stable trend 28.8 (-53.3, 255.2)
Santa Cruz County 7,9 27.0 (23.3, 31.1) 41 stable stable trend -4.1 (-9.3, 1.4)
Nevada County 7,9 27.1 (21.6, 33.6) 21 stable stable trend 3.7 (-13.7, 24.6)
Colusa County 7,9 27.1 (15.3, 44.7) 3
*
*
Imperial County 7,9 27.3 (22.6, 32.8) 24 stable stable trend 2.9 (-7.3, 14.3)
San Benito County 7,9 28.1 (19.7, 38.8) 8 stable stable trend 1.3 (-40.9, 73.5)
Madera County 7,9 28.5 (23.4, 34.4) 22 stable stable trend -11.1 (-29.9, 12.7)
Siskiyou County 7,9 29.1 (21.2, 39.4) 10 stable stable trend -0.3 (-32.3, 46.7)
Amador County 7,9 29.5 (21.3, 40.8) 9 stable stable trend -3.0 (-23.0, 22.1)
Sutter County 7,9 29.6 (23.4, 37.1) 16 stable stable trend 15.4 (-5.8, 41.4)
Santa Barbara County 7,9 30.8 (27.7, 34.2) 77 stable stable trend -2.6 (-12.9, 8.9)
Kern County 7,9 30.9 (28.4, 33.6) 111 falling falling trend -6.2 (-11.2, -0.9)
Shasta County 7,9 31.0 (26.7, 35.9) 39 stable stable trend 7.1 (-18.0, 39.8)
Tulare County 7,9 31.1 (27.7, 34.8) 62 stable stable trend -8.7 (-17.9, 1.4)
Mariposa County 7,9 31.2 (20.1, 48.5) 5 stable stable trend -8.3 (-16.8, 1.1)
Ventura County 7,9 31.5 (29.2, 33.9) 149 stable stable trend -4.1 (-9.1, 1.1)
Orange County 7,9 31.7 (30.5, 33.0) 542 stable stable trend -2.5 (-8.2, 3.4)
Plumas County 7,9 31.8 (19.6, 50.3) 5 stable stable trend 0.6 (-38.7, 64.9)
Glenn County 7,9 31.8 (20.8, 47.0) 5 stable stable trend 8.4 (-26.8, 60.3)
Placer County 7,9 32.0 (28.9, 35.5) 78 stable stable trend -8.5 (-21.8, 7.1)
Fresno County 7,9 32.0 (29.7, 34.5) 144 stable stable trend -0.3 (-13.2, 14.5)
Calaveras County 7,9 32.1 (23.5, 43.3) 11 stable stable trend -15.7 (-45.1, 29.6)
San Diego County 7,9 32.1 (30.9, 33.3) 552 stable stable trend -1.5 (-8.9, 6.4)
Alameda County 7,8 32.2 (30.5, 34.0) 278 falling falling trend -1.7 (-2.2, -1.1)
San Luis Obispo County 7,9 32.3 (28.5, 36.4) 59 stable stable trend 3.8 (-17.1, 29.8)
Marin County 7,8 32.3 (28.7, 36.2) 64 falling falling trend -2.0 (-2.6, -1.4)
Del Norte County 7,9 32.8 (21.3, 48.7) 5 stable stable trend -20.1 (-42.8, 11.6)
Santa Clara County 7,9 32.9 (31.3, 34.6) 319 stable stable trend -6.9 (-13.5, 0.2)
San Mateo County 7,8 32.9 (30.6, 35.4) 155 falling falling trend -8.6 (-12.6, -4.6)
Kings County 7,9 33.7 (27.2, 41.2) 19 stable stable trend -5.3 (-23.5, 17.4)
Napa County 7,9 33.7 (28.5, 39.6) 32 stable stable trend -6.2 (-14.1, 2.4)
Yolo County 7,9 33.9 (28.8, 39.6) 33 stable stable trend -5.7 (-27.7, 22.9)
Los Angeles County 7,9 34.2 (33.5, 34.9) 1,825 falling falling trend -4.6 (-6.1, -3.2)
Riverside County 7,9 34.4 (32.9, 35.9) 404 falling falling trend -4.5 (-8.0, -0.8)
El Dorado County 7,9 35.1 (30.4, 40.4) 43 stable stable trend -3.0 (-15.7, 11.7)
Solano County 7,9 35.2 (31.9, 38.9) 82 falling falling trend -9.6 (-16.1, -2.6)
Merced County 7,9 35.5 (30.8, 40.8) 41 stable stable trend 1.0 (-13.6, 17.9)
San Bernardino County 7,9 35.6 (33.9, 37.4) 330 stable stable trend -2.8 (-11.3, 6.5)
Yuba County 7,9 35.8 (27.3, 46.0) 12 stable stable trend -5.1 (-40.5, 51.2)
San Joaquin County 7,9 35.8 (33.0, 38.8) 124 stable stable trend 1.3 (-6.7, 10.0)
Mendocino County 7,9 36.6 (29.7, 44.8) 22 stable stable trend -5.0 (-14.8, 6.1)
San Francisco County 7,8 37.1 (34.7, 39.7) 188 falling falling trend -1.7 (-2.2, -1.2)
Contra Costa County 7,8 37.4 (35.3, 39.6) 242 falling falling trend -0.6 (-0.9, -0.2)
Humboldt County 7,9 37.5 (31.6, 44.2) 31 stable stable trend 3.8 (-14.7, 26.2)
Stanislaus County 7,9 37.7 (34.4, 41.2) 101 falling falling trend -10.3 (-13.1, -7.4)
Sacramento County 7,9 37.9 (35.9, 39.9) 300 falling falling trend -2.7 (-4.1, -1.3)
Tehama County 7,9 37.9 (29.9, 47.6) 16 stable stable trend 6.5 (-11.7, 28.5)
Sonoma County 7,9 38.4 (35.4, 41.7) 127 stable stable trend -2.5 (-8.7, 4.2)
Tuolumne County 7,9 39.2 (30.2, 50.3) 16 stable stable trend -11.3 (-23.9, 3.2)
Butte County 7,9 39.5 (34.9, 44.6) 58 stable stable trend 1.0 (-12.5, 16.6)
Lake County 7,9 40.2 (32.2, 49.9) 19 stable stable trend -2.7 (-16.7, 13.8)
Alpine County 7,9
*
3 or fewer
*
*
Modoc County 7,9
*
3 or fewer
*
*
Mono County 7,9
*
3 or fewer
*
*
Sierra County 7,9
*
3 or fewer
*
*
Trinity County 7,9
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/25/2016 10:00 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.
3 Source: SEER November 2015 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2015 submission.
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The 1969-2014 US Population Data File is used with SEER November 2015 data.
9 Source: Incidence data provided by the SEER Program. 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 modifed by NCI. 1969-2014 US Population Data File is used with SEER November 2015 data.
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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