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Incidence Rates Table

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Incidence Rate Report for California by County

Colon & Rectum (All Stages^), 2013-2017

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 39.9?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
California 7,8 Yes 35.1 (34.9, 35.4) 14,605 falling falling trend -1.9 (-2.7, -1.1)
US (SEER+NPCR) 1,8 Yes 38.4 (38.3, 38.5) 142,225 falling falling trend -1.4 (-1.8, -1.0)
Glenn County 7,8 No 49.2 (38.8, 61.5) 16 stable stable trend 0.5 (-2.5, 3.7)
Del Norte County 7,8 No 39.9 (30.7, 51.2) 13 stable stable trend -2.5 (-5.4, 0.5)
Colusa County 7,8 Yes 39.7 (28.7, 53.5) 9 stable stable trend 0.2 (-2.7, 3.2)
Butte County 7,8 Yes 39.5 (36.1, 43.1) 111 stable stable trend -1.0 (-1.9, 0.0)
Stanislaus County 7,8 Yes 39.2 (36.8, 41.7) 209 falling falling trend -1.7 (-2.4, -0.9)
San Bernardino County 7,8 Yes 39.1 (37.9, 40.4) 760 falling falling trend -5.4 (-10.2, -0.4)
Merced County 7,8 Yes 38.7 (35.1, 42.4) 91 falling falling trend -1.9 (-3.0, -0.8)
Yuba County 7,8 Yes 38.5 (32.1, 45.8) 27 falling falling trend -1.9 (-3.5, -0.4)
Tehama County 7,8 Yes 38.5 (32.5, 45.3) 31 falling falling trend -3.4 (-4.6, -2.2)
Solano County 7,8 Yes 38.5 (36.0, 41.1) 187 stable stable trend 2.4 (-2.1, 7.2)
Lake County 7,8 Yes 38.4 (32.7, 44.9) 36 stable stable trend -1.3 (-3.2, 0.7)
San Joaquin County 7,8 Yes 38.4 (36.3, 40.5) 274 falling falling trend -1.4 (-2.2, -0.6)
Sacramento County 7,8 Yes 37.8 (36.4, 39.2) 600 falling falling trend -2.9 (-3.8, -1.9)
Mendocino County 7,8 Yes 37.4 (32.4, 43.0) 45 stable stable trend -1.3 (-2.9, 0.3)
Trinity County 7,8 Yes 37.4 (25.4, 53.9) 8 stable stable trend -2.6 (-6.2, 1.2)
San Benito County 7,8 Yes 36.8 (30.0, 44.8) 21 stable stable trend -1.4 (-4.3, 1.7)
Shasta County 7,8 Yes 36.5 (33.1, 40.2) 91 stable stable trend -0.2 (-2.5, 2.3)
Contra Costa County 7,8 Yes 36.4 (35.0, 38.0) 470 falling falling trend -3.2 (-4.2, -2.1)
Riverside County 7,8 Yes 36.2 (35.2, 37.3) 900 falling falling trend -1.9 (-2.3, -1.5)
Sonoma County 7,8 Yes 36.1 (33.9, 38.3) 234 falling falling trend -2.7 (-3.2, -2.1)
Amador County 7,8 Yes 35.9 (29.3, 43.9) 23 falling falling trend -2.6 (-4.2, -1.0)
Tulare County 7,8 Yes 35.8 (33.2, 38.5) 144 falling falling trend -2.3 (-3.3, -1.3)
Imperial County 7,8 Yes 35.8 (31.9, 40.0) 63 falling falling trend -2.2 (-3.7, -0.8)
Los Angeles County 7,8 Yes 35.7 (35.2, 36.2) 3,752 falling falling trend -1.7 (-2.8, -0.6)
Mariposa County 7,8 Yes 35.3 (25.9, 47.8) 11 falling falling trend -3.1 (-5.9, -0.3)
Kern County 7,8 Yes 35.3 (33.4, 37.2) 269 falling falling trend -2.6 (-3.5, -1.7)
San Francisco County 7,8 Yes 35.0 (33.4, 36.7) 356 falling falling trend -3.9 (-4.7, -3.1)
Kings County 7,8 Yes 35.0 (30.5, 39.9) 45 falling falling trend -3.3 (-5.0, -1.6)
Placer County 7,8 Yes 34.6 (32.3, 37.1) 172 falling falling trend -2.0 (-2.8, -1.2)
Fresno County 7,8 Yes 34.6 (32.9, 36.4) 312 falling falling trend -2.2 (-2.7, -1.7)
Modoc County 7,8 Yes 34.5 (21.6, 53.6) 5 stable stable trend -2.3 (-5.1, 0.7)
San Diego County 7,8 Yes 34.3 (33.4, 35.2) 1,180 falling falling trend -2.2 (-2.5, -2.0)
Alameda County 7,8 Yes 34.2 (33.0, 35.5) 593 stable stable trend -0.6 (-1.9, 0.6)
Napa County 7,8 Yes 34.2 (30.4, 38.4) 62 falling falling trend -3.4 (-4.4, -2.4)
Madera County 7,8 Yes 34.0 (29.9, 38.4) 53 falling falling trend -4.3 (-6.1, -2.4)
Ventura County 7,8 Yes 33.8 (32.2, 35.6) 324 stable stable trend -0.2 (-3.5, 3.3)
Humboldt County 7,8 Yes 33.3 (29.3, 37.7) 54 falling falling trend -3.7 (-5.0, -2.3)
Marin County 7,8 Yes 33.3 (30.6, 36.1) 126 falling falling trend -2.1 (-2.6, -1.6)
Yolo County 7,8 Yes 33.1 (29.5, 37.0) 65 falling falling trend -2.1 (-3.4, -0.7)
Santa Clara County 7,8 Yes 32.7 (31.6, 33.9) 661 falling falling trend -2.5 (-2.9, -2.1)
Orange County 7,8 Yes 32.6 (31.7, 33.4) 1,128 falling falling trend -2.6 (-3.0, -2.2)
Santa Barbara County 7,8 Yes 32.5 (30.2, 34.9) 156 falling falling trend -1.8 (-2.7, -0.9)
El Dorado County 7,8 Yes 32.4 (29.2, 35.9) 81 falling falling trend -2.3 (-3.5, -1.1)
San Luis Obispo County 7,8 Yes 32.4 (29.7, 35.2) 120 falling falling trend -2.9 (-3.6, -2.2)
San Mateo County 7,8 Yes 32.1 (30.4, 33.8) 292 stable stable trend 0.1 (-4.5, 4.8)
Monterey County 7,8 Yes 32.1 (29.7, 34.6) 138 stable stable trend 3.7 (-1.3, 8.9)
Sutter County 7,8 Yes 32.0 (27.4, 37.3) 34 falling falling trend -3.2 (-4.2, -2.2)
Santa Cruz County 7,8 Yes 32.0 (29.2, 35.1) 100 falling falling trend -2.6 (-3.8, -1.3)
Inyo County 7,8 Yes 31.5 (22.1, 43.8) 9 falling falling trend -3.6 (-6.6, -0.5)
Lassen County 7,8 Yes 30.9 (22.9, 40.8) 11 stable stable trend -1.6 (-5.5, 2.4)
Calaveras County 7,8 Yes 30.4 (24.9, 37.1) 24 falling falling trend -4.1 (-5.6, -2.5)
Nevada County 7,8 Yes 30.1 (26.0, 34.7) 46 falling falling trend -3.7 (-5.3, -2.1)
Tuolumne County 7,8 Yes 30.0 (24.7, 36.4) 26 falling falling trend -4.0 (-5.5, -2.5)
Plumas County 7,8 Yes 29.8 (21.4, 41.1) 10 stable stable trend -1.8 (-4.5, 1.0)
Siskiyou County 7,8 Yes 29.4 (23.7, 36.3) 21 falling falling trend -3.2 (-4.3, -2.0)
Mono County 7,8 Yes 19.8 (11.6, 32.1) 4 stable stable trend -4.3 (-9.6, 1.3)
Alpine County 7 ***
*
3 or fewer
*
*
Sierra County 7 ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/19/2020 6:12 am.

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 1969-2017 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.

Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database (2001-2017) - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2019 submission.
7 Source: SEER November 2019 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 1969-2017 US Population Data File is used with SEER November 2019 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.

Data for United States does not include Puerto Rico.

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