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Interpretation of Incidence Rates Data

Incidence Rate Report for California by County

All Races (includes Hispanic), Female, Breast, All Ages
Sorted by Rate

Explanation of Column Headers

Incidence Rate (95% Confidence Interval) - The incidence rate is based upon 100,000 people and is an annual rate (or average annual rate) based on the time period indicated. Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population.

Recent Trends - This is an interpretation of the AAPC/APC:

AAPC/APC (95% Confidence Interval) - the change in rate over time


Other Notes

  • Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
  • Data is currently being suppressed if there are fewer than 16 counts for the time period.

  • Line by Line Interpretation of the Report


    California3
    US (SEER+NPCR)1,10
    Colusa County7,9
    Imperial County7,9
    Mariposa County7,9
    Tulare County7,9
    Kings County7,9
    Madera County7,9
    Lassen County7,9
    Merced County7,9
    Lake County7,9
    Yuba County7,9
    San Bernardino County7,9
    Sutter County7,9
    Fresno County7,9
    San Joaquin County7,9
    Tehama County7,9
    Calaveras County7,9
    Humboldt County7,9
    Kern County7,9
    Stanislaus County7,9
    Monterey County7,9
    Plumas County7,9
    Riverside County7,9
    Los Angeles County7,9
    San Francisco County7,8
    Siskiyou County7,9
    San Benito County7,9
    Trinity County7,9
    Alameda County7,8
    Santa Clara County7,9
    Mendocino County7,9
    Napa County7,9
    Inyo County7,9
    Santa Cruz County7,9
    Orange County7,9
    Glenn County7,9
    Sacramento County7,9
    San Diego County7,9
    El Dorado County7,9
    Shasta County7,9
    Ventura County7,9
    Solano County7,9
    Contra Costa County7,8
    Del Norte County7,9
    San Luis Obispo County7,9
    Santa Barbara County7,9
    Yolo County7,9
    Mono County7,9
    San Mateo County7,8
    Sonoma County7,9
    Placer County7,9
    Nevada County7,9
    Marin County7,8
    Modoc County7,9
    Butte County7,9
    Amador County7,9
    Tuolumne County7,9
    Alpine County7,9
    Sierra County7,9


    Notes:
    Created by statecancerprofiles.cancer.gov on 11/24/2014 12:07 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 1969-2012 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 2013 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 2013 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) January 2014 data submission and SEER November 2013 submission.
    3 Source: SEER November 2013 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
    7 Source: SEER November 2013 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 1969-2012 US Population Data File is used with SEER November 2013 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. 1969-2012 US Population Data File is used with SEER November 2013 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 1969-2012 US Population Data File is used with NPCR January 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.