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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), Both Sexes, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
California 3,8 *** 21.6 (21.4, 21.8) 8,379 rising rising trend 1.7 (1.2, 2.1)
US (SEER+NPCR) 1,10 *** 20.7 (20.6, 20.8) 71,035 rising rising trend 1.8 (1.0, 2.6)
Marin County 7,8 *** 47.9 (44.5, 51.4) 167 stable stable trend 1.3 (-1.4, 4.0)
San Luis Obispo County 7,8 *** 42.4 (39.2, 45.7) 142 stable stable trend -0.4 (-4.7, 4.1)
Shasta County 7,8 *** 40.2 (36.5, 44.2) 95 rising rising trend 4.0 (2.2, 5.8)
Tuolumne County 7,8 *** 39.4 (33.2, 46.6) 33 rising rising trend 4.9 (2.0, 8.0)
Sonoma County 7,8 *** 38.9 (36.6, 41.3) 232 rising rising trend 5.0 (3.4, 6.7)
Santa Cruz County 7,8 *** 37.7 (34.4, 41.3) 104 rising rising trend 5.1 (2.7, 7.5)
Calaveras County 7,8 *** 37.1 (30.1, 45.4) 24 rising rising trend 8.6 (3.8, 13.6)
Placer County 7,8 *** 36.9 (34.3, 39.6) 161 rising rising trend 2.7 (0.9, 4.5)
El Dorado County 7,8 *** 36.9 (33.2, 40.8) 84 rising rising trend 2.6 (0.4, 4.8)
Mono County 7,8 *** 35.8 (22.5, 54.1) 5 stable stable trend 6.3 (-0.9, 14.0)
Trinity County 7,8 *** 34.3 (23.0, 50.2) 7 rising rising trend 8.7 (3.5, 14.2)
Santa Barbara County 7,8 *** 33.5 (31.2, 36.1) 154 stable stable trend -2.9 (-7.0, 1.4)
Nevada County 7,8 *** 32.2 (27.9, 37.0) 47 rising rising trend 3.1 (0.6, 5.7)
Amador County 7,8 *** 31.8 (25.4, 39.6) 19 rising rising trend 3.7 (0.5, 7.0)
Butte County 7,8 *** 31.0 (27.9, 34.4) 80 rising rising trend 5.2 (3.2, 7.2)
Napa County 7,8 *** 30.3 (26.6, 34.3) 52 stable stable trend 1.7 (-8.7, 13.3)
Contra Costa County 7,8 *** 30.0 (28.6, 31.5) 359 rising rising trend 4.1 (3.5, 4.7)
Humboldt County 7,8 *** 29.5 (25.7, 33.9) 45 stable stable trend 1.1 (-2.3, 4.7)
Plumas County 7,8 *** 29.5 (21.1, 40.8) 9 rising rising trend 4.7 (0.6, 9.0)
Tehama County 7,8 *** 28.4 (23.2, 34.4) 22 stable stable trend 2.2 (-1.5, 6.1)
Ventura County 7,8 *** 27.6 (26.0, 29.2) 243 stable stable trend 0.9 (-0.2, 2.0)
San Diego County 7,8 *** 27.2 (26.4, 28.0) 882 stable stable trend -0.1 (-1.1, 0.9)
Mendocino County 7,8 *** 26.5 (22.2, 31.5) 29 stable stable trend 0.7 (-1.7, 3.1)
Orange County 7,8 *** 26.5 (25.7, 27.4) 852 stable stable trend 0.3 (-0.7, 1.3)
Lake County 7,8 *** 26.5 (21.7, 32.1) 24 rising rising trend 4.1 (1.0, 7.3)
Yolo County 7,8 *** 26.3 (23.0, 29.9) 48 stable stable trend 2.0 (0.0, 4.1)
Mariposa County 7,8 *** 25.5 (17.7, 36.4) 8 stable stable trend 1.5 (-4.0, 7.2)
San Mateo County 7,8 *** 25.1 (23.6, 26.7) 212 rising rising trend 3.3 (2.7, 3.9)
Monterey County 7,8 *** 24.2 (22.1, 26.5) 98 rising rising trend 4.3 (2.8, 5.9)
Yuba County 7,8 *** 23.0 (18.0, 28.8) 15 rising rising trend 5.4 (1.5, 9.5)
Sutter County 7,8 *** 22.9 (18.8, 27.6) 22 stable stable trend 2.1 (-0.7, 5.1)
Riverside County 7,8 *** 22.6 (21.7, 23.5) 513 stable stable trend 0.7 (-0.4, 1.8)
Santa Clara County 7,8 *** 21.8 (20.9, 22.8) 405 rising rising trend 4.1 (3.2, 5.1)
Sacramento County 7,8 *** 21.4 (20.4, 22.5) 317 rising rising trend 1.4 (0.4, 2.4)
Glenn County 7,8 *** 21.0 (14.5, 29.4) 7 stable stable trend 4.7 (-1.9, 11.8)
San Benito County 7,8 *** 20.9 (15.7, 27.2) 11 stable stable trend 1.9 (-1.3, 5.2)
Solano County 7,8 *** 20.5 (18.6, 22.5) 93 rising rising trend 4.3 (1.3, 7.4)
Siskiyou County 7,8 *** 20.2 (14.9, 26.9) 12 stable stable trend -1.6 (-5.4, 2.3)
Stanislaus County 7,8 *** 20.0 (18.3, 21.9) 101 stable stable trend 2.0 (-0.2, 4.2)
Madera County 7,8 *** 19.8 (16.7, 23.3) 29 stable stable trend 2.2 (-0.7, 5.2)
Inyo County 7,8 *** 19.2 (12.4, 29.0) 5 stable stable trend -0.5 (-5.1, 4.3)
San Francisco County 7,8 *** 18.8 (17.6, 20.1) 180 stable stable trend 2.0 (-0.6, 4.8)
Alameda County 7,8 *** 17.4 (16.5, 18.4) 283 rising rising trend 2.5 (1.9, 3.1)
San Bernardino County 7,8 *** 17.2 (16.4, 18.1) 316 stable stable trend 0.1 (-0.8, 1.1)
Kern County 7,8 *** 16.6 (15.3, 18.0) 121 stable stable trend -1.3 (-2.9, 0.3)
Fresno County 7,8 *** 16.5 (15.3, 17.7) 142 rising rising trend 2.7 (1.2, 4.2)
Kings County 7,8 *** 16.3 (13.1, 19.9) 19 stable stable trend 3.2 (-0.6, 7.2)
Lassen County 7,8 *** 15.9 (10.2, 23.5) 5 stable stable trend 2.7 (-2.1, 7.8)
Tulare County 7,8 *** 15.6 (13.9, 17.5) 60 stable stable trend 0.7 (-1.0, 2.6)
Merced County 7,8 *** 15.3 (13.1, 17.8) 35 stable stable trend 1.3 (-1.5, 4.2)
San Joaquin County 7,8 *** 15.3 (13.9, 16.7) 101 rising rising trend 2.7 (1.2, 4.3)
Del Norte County 7,8 *** 14.6 (9.2, 22.0) 5 stable stable trend -2.4 (-8.4, 3.9)
Colusa County 7 *** 14.3 (8.3, 23.3) 3
*
*
Los Angeles County 7,8 *** 13.4 (13.1, 13.8) 1,324 stable stable trend -0.3 (-0.9, 0.2)
Imperial County 7,8 *** 8.0 (6.1, 10.1) 13 stable stable trend -1.6 (-5.5, 2.3)
Alpine County 7 *
*
3 or fewer
*
*
Modoc County 7,8 *
*
3 or fewer
*
*
Sierra County 7 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/24/2017 4:37 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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