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Incidence Rates Table

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Incidence Rate Report for California by County

Melanoma of the Skin, 2010-2014

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
California 3,8 *** 16.0 (15.8, 16.2) 3,300 stable stable trend 2.9 (-0.4, 6.3)
US (SEER+NPCR) 1,10 *** 16.4 (16.3, 16.5) 29,317 rising rising trend 1.3 (0.8, 1.9)
Imperial County 7,8 *** 4.4 (2.6, 6.8) 4 stable stable trend -4.0 (-10.5, 3.0)
Los Angeles County 7,8 *** 9.6 (9.2, 10.0) 516 stable stable trend -0.8 (-1.5, 0.0)
Merced County 7,8 *** 11.0 (8.5, 14.0) 13 stable stable trend 0.7 (-2.8, 4.4)
Kings County 7,8 *** 11.5 (7.8, 16.2) 6 stable stable trend 3.7 (-2.0, 9.7)
Tulare County 7,8 *** 11.6 (9.6, 13.9) 24 stable stable trend -1.0 (-3.4, 1.5)
San Joaquin County 7,8 *** 11.7 (10.2, 13.5) 41 rising rising trend 2.8 (0.1, 5.6)
Fresno County 7,8 *** 12.4 (11.0, 13.9) 57 stable stable trend 2.3 (-0.4, 5.0)
San Bernardino County 7,8 *** 12.7 (11.7, 13.7) 125 stable stable trend -0.5 (-1.8, 0.8)
Alameda County 7,8 *** 13.5 (12.4, 14.6) 119 rising rising trend 2.3 (1.5, 3.1)
Kern County 7,8 *** 13.6 (12.0, 15.4) 52 stable stable trend -0.9 (-3.4, 1.7)
San Benito County 7,8 *** 13.8 (8.4, 21.5) 4 stable stable trend 1.9 (-4.3, 8.6)
Madera County 7,8 *** 14.3 (10.7, 18.6) 11 stable stable trend 1.2 (-3.9, 6.5)
San Francisco County 7,8 *** 14.4 (12.9, 16.1) 71 stable stable trend 1.0 (-3.1, 5.2)
Stanislaus County 7,8 *** 15.1 (13.1, 17.3) 41 stable stable trend 1.1 (-1.1, 3.4)
Solano County 7,8 *** 15.6 (13.4, 18.1) 37 rising rising trend 2.8 (0.1, 5.6)
Sacramento County 7,8 *** 15.9 (14.7, 17.2) 126 rising rising trend 1.8 (0.6, 3.0)
Siskiyou County 7,8 *** 16.5 (9.7, 26.3) 4 stable stable trend -1.7 (-6.4, 3.3)
Riverside County 7,8 *** 16.7 (15.7, 17.8) 199 stable stable trend 0.6 (-0.6, 1.9)
Santa Clara County 7,8 *** 17.2 (16.0, 18.4) 169 rising rising trend 4.3 (3.0, 5.6)
Sutter County 7,8 *** 17.6 (12.7, 23.7) 9 stable stable trend 2.1 (-3.8, 8.3)
Yolo County 7,8 *** 18.0 (14.3, 22.3) 17 stable stable trend 0.0 (-3.0, 3.1)
San Mateo County 7,8 *** 18.2 (16.4, 20.1) 82 rising rising trend 3.2 (2.2, 4.2)
Monterey County 7,8 *** 18.3 (15.8, 21.1) 39 rising rising trend 3.5 (1.2, 5.9)
Tehama County 7,8 *** 19.2 (13.2, 27.1) 7 stable stable trend -1.3 (-6.2, 3.8)
Orange County 7,8 *** 19.2 (18.3, 20.2) 329 stable stable trend -0.2 (-1.6, 1.2)
Plumas County 7 *** 19.9 (10.4, 35.9) 3
*
*
San Diego County 7,8 *** 19.9 (18.9, 20.9) 340 stable stable trend -0.8 (-2.2, 0.6)
Ventura County 7,8 *** 20.4 (18.5, 22.3) 94 stable stable trend 1.4 (-0.4, 3.3)
Lake County 7,8 *** 21.3 (15.0, 29.3) 9 stable stable trend 3.6 (-1.3, 8.6)
Contra Costa County 7,8 *** 22.0 (20.3, 23.7) 139 rising rising trend 3.8 (3.0, 4.6)
Mendocino County 7,8 *** 22.0 (16.4, 28.8) 12 stable stable trend 0.6 (-3.9, 5.3)
Yuba County 7,8 *** 22.5 (15.8, 31.1) 8 stable stable trend 6.8 (0.0, 14.1)
Santa Barbara County 7,8 *** 24.0 (21.2, 27.1) 57 stable stable trend -5.6 (-11.0, 0.2)
Amador County 7,8 *** 25.1 (16.7, 36.9) 7 rising rising trend 4.8 (0.3, 9.5)
Napa County 7,8 *** 25.9 (21.2, 31.4) 22 stable stable trend -3.3 (-11.8, 6.0)
Humboldt County 7,8 *** 26.7 (21.5, 32.7) 20 rising rising trend 4.4 (1.5, 7.4)
El Dorado County 7,8 *** 26.8 (22.4, 31.9) 30 stable stable trend 1.8 (-1.7, 5.4)
Butte County 7,8 *** 27.2 (23.2, 31.8) 36 rising rising trend 6.7 (3.8, 9.6)
Placer County 7,8 *** 28.5 (25.3, 31.9) 64 stable stable trend 1.8 (-0.2, 3.8)
Nevada County 7,8 *** 28.5 (22.5, 35.8) 20 rising rising trend 4.5 (0.5, 8.7)
Shasta County 7,8 *** 28.9 (24.4, 34.0) 34 stable stable trend 2.8 (0.0, 5.6)
Calaveras County 7,8 *** 29.7 (20.6, 41.6) 9 rising rising trend 8.6 (3.8, 13.6)
Santa Cruz County 7,8 *** 29.7 (25.7, 34.2) 43 rising rising trend 4.9 (2.2, 7.6)
Sonoma County 7,8 *** 31.3 (28.4, 34.3) 97 rising rising trend 5.2 (3.4, 7.0)
San Luis Obispo County 7,8 *** 33.0 (29.1, 37.4) 57 stable stable trend 2.0 (-2.2, 6.4)
Tuolumne County 7,8 *** 33.4 (24.8, 44.3) 13 rising rising trend 5.5 (0.6, 10.6)
Marin County 7,8 *** 35.5 (31.5, 40.0) 64 rising rising trend 4.4 (3.1, 5.8)
Trinity County 7 *** 38.1 (20.5, 65.9) 3
*
*
Alpine County 7 *
*
3 or fewer
*
*
Colusa County 7 *
*
3 or fewer
*
*
Del Norte County 7 *
*
3 or fewer
*
*
Glenn County 7 *
*
3 or fewer
*
*
Inyo County 7 *
*
3 or fewer
*
*
Lassen County 7 *
*
3 or fewer
*
*
Mariposa County 7 *
*
3 or fewer
*
*
Modoc County 7 *
*
3 or fewer
*
*
Mono County 7 *
*
3 or fewer
*
*
Sierra County 7 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/17/2017 4:43 pm.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

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 1969-2015 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.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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 2016 data submission and SEER November 2016 submission as published in United States Cancer Statistics.
3 Source: SEER November 2016 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2016 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 1969-2015 US Population Data File is used with SEER November 2016 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 1969-2015 US Population Data File is used with NPCR November 2016 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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