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Incidence Rates Table

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Incidence Rate Report for California by County

All Races (includes Hispanic), Female, Ovary, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
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Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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California 3 12.1 (11.9, 12.3) 2,412 2008-2012 * *
US (SEER+NPCR) 1,10 11.8 (11.8, 11.9) 21,341 § 2008-2012 falling falling trend -2.8 (-3.7, -1.8)
Madera County 7,9 7.4 (4.9, 10.7) 6 2008-2012 * *
Sutter County 7,9 8.8 (5.4, 13.5) 4 2008-2012 * *
Imperial County 7,9 8.9 (6.3, 12.3) 8 2008-2012 * *
Tehama County 7,9 9.0 (5.4, 14.2) 4 2008-2012 * *
Monterey County 7,9 9.5 (7.7, 11.7) 19 2008-2012 stable stable trend 9.2 (-5.2, 25.9)
Calaveras County 7,9 9.8 (5.3, 17.0) 3 2008-2012 * *
Kings County 7,9 9.9 (6.6, 14.3) 6 2008-2012 * *
Sacramento County 7,9 10.6 (9.6, 11.7) 82 2008-2012 stable stable trend -2.8 (-11.4, 6.5)
Humboldt County 7,9 10.7 (7.7, 14.6) 9 2008-2012 * *
Merced County 7,9 10.8 (8.3, 13.9) 12 2008-2012 * *
San Joaquin County 7,9 10.8 (9.3, 12.5) 36 2008-2012 stable stable trend 0.4 (-17.2, 21.8)
Yuba County 7,9 11.0 (6.5, 17.5) 4 2008-2012 * *
Stanislaus County 7,9 11.1 (9.3, 13.1) 28 2008-2012 stable stable trend -0.5 (-13.9, 15.0)
San Francisco County 7,8 11.2 (9.9, 12.7) 53 2008-2012 falling falling trend -2.6 (-3.3, -1.9)
Santa Cruz County 7,9 11.2 (8.8, 14.1) 16 2008-2012 stable stable trend 13.8 (-1.2, 31.0)
San Luis Obispo County 7,9 11.3 (9.1, 14.0) 19 2008-2012 stable stable trend 0.5 (-20.8, 27.7)
Santa Barbara County 7,9 11.4 (9.5, 13.5) 26 2008-2012 stable stable trend 1.8 (-23.9, 36.2)
Riverside County 7,9 11.4 (10.6, 12.4) 129 2008-2012 stable stable trend -8.4 (-19.0, 3.7)
Kern County 7,9 11.6 (10.0, 13.3) 42 2008-2012 stable stable trend 0.1 (-16.4, 19.7)
Yolo County 7,9 11.7 (8.8, 15.2) 11 2008-2012 * *
Lake County 7,9 11.7 (7.6, 17.5) 6 2008-2012 * *
Butte County 7,9 11.7 (9.2, 14.8) 16 2008-2012 stable stable trend 6.6 (-2.1, 16.2)
Tulare County 7,9 11.8 (9.7, 14.1) 23 2008-2012 stable stable trend -3.0 (-30.9, 36.2)
San Diego County 7,9 11.8 (11.1, 12.6) 195 2008-2012 falling falling trend -7.7 (-13.6, -1.4)
Mendocino County 7,9 11.8 (8.1, 16.8) 7 2008-2012 * *
Napa County 7,9 11.9 (8.9, 15.7) 11 2008-2012 * *
Fresno County 7,9 11.9 (10.5, 13.5) 52 2008-2012 falling falling trend -5.3 (-9.1, -1.3)
Santa Clara County 7,9 11.9 (11.0, 13.0) 112 2008-2012 stable stable trend 1.8 (-6.4, 10.6)
San Benito County 7,9 12.3 (7.2, 19.7) 4 2008-2012 * *
Placer County 7,9 12.4 (10.4, 14.7) 28 2008-2012 stable stable trend -4.3 (-35.2, 41.3)
Shasta County 7,9 12.4 (9.6, 15.8) 15 2008-2012 stable stable trend -9.1 (-17.6, 0.2)
Contra Costa County 7,8 12.4 (11.2, 13.8) 77 2008-2012 falling falling trend -1.5 (-2.2, -0.7)
Los Angeles County 7,9 12.5 (12.0, 12.9) 644 2008-2012 stable stable trend -0.5 (-6.1, 5.3)
Orange County 7,9 12.7 (12.0, 13.5) 209 2008-2012 stable stable trend -2.1 (-7.2, 3.4)
San Bernardino County 7,9 12.8 (11.8, 13.9) 120 2008-2012 stable stable trend -1.3 (-9.9, 8.1)
El Dorado County 7,9 12.9 (10.0, 16.4) 15 2008-2012 stable stable trend -0.5 (-41.8, 70.2)
Alameda County 7,8 12.9 (11.8, 14.1) 107 2008-2012 stable stable trend -0.8 (-1.5, 0.0)
Ventura County 7,9 12.9 (11.5, 14.5) 58 2008-2012 stable stable trend -7.8 (-22.8, 10.0)
Solano County 7,9 13.0 (11.0, 15.3) 29 2008-2012 falling falling trend -16.5 (-28.5, -2.4)
San Mateo County 7,8 13.1 (11.7, 14.8) 59 2008-2012 stable stable trend -1.0 (-2.2, 0.1)
Sonoma County 7,9 13.3 (11.5, 15.4) 40 2008-2012 stable stable trend 3.9 (-6.0, 14.7)
Nevada County 7,9 13.6 (10.1, 18.2) 11 2008-2012 * *
Marin County 7,8 14.3 (11.9, 17.2) 26 2008-2012 falling falling trend -1.7 (-3.3, -0.1)
Tuolumne County 7,9 15.6 (10.2, 23.2) 6 2008-2012 * *
Amador County 7,9 16.3 (9.5, 26.7) 4 2008-2012 * *
Alpine County 7,9
*
3 or fewer
2008-2012 * *
Colusa County 7,9
*
3 or fewer
2008-2012 * *
Del Norte County 7,9
*
3 or fewer
2008-2012 * *
Glenn County 7,9
*
3 or fewer
2008-2012 * *
Inyo County 7,9
*
3 or fewer
2008-2012 * *
Lassen County 7,9
*
3 or fewer
2008-2012 * *
Mariposa County 7,9
*
3 or fewer
2008-2012 * *
Modoc County 7,9
*
3 or fewer
2008-2012 * *
Mono County 7,9
*
3 or fewer
2008-2012 * *
Plumas County 7,9
*
3 or fewer
2008-2012 * *
Sierra County 7,9
*
3 or fewer
2008-2012 * *
Siskiyou County 7,9
*
3 or fewer
2008-2012 * *
Trinity County 7,9
*
3 or fewer
2008-2012 * *
Notes:
Created by statecancerprofiles.cancer.gov on 08/03/2015 6:38 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.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
3 Source: SEER November 2014 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2014 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 1969-2013 US Population Data File is used with SEER November 2014 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. 1969-2013 US Population Data File is used with SEER November 2014 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 1969-2013 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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