Return to Home Incidence > Table

Incidence Rates Table

Data Options

Incidence Rate Report for by County

Melanoma of the Skin, 2008-2012

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
California 3,9 15.6 (15.4, 15.9) 3,088 stable stable trend -1.0 (-3.0, 1.0)
US (SEER+NPCR) 1,10 15.9 (15.8, 16.0) 27,524 § stable stable trend -0.2 (-1.5, 1.2)
Imperial County 7,9 4.8 (2.9, 7.5) 4
*
*
Merced County 7,9 8.7 (6.4, 11.5) 10
*
*
Los Angeles County 7,9 9.5 (9.2, 9.9) 494 stable stable trend -2.3 (-4.9, 0.4)
Kings County 7,9 10.2 (6.8, 14.7) 6
*
*
Fresno County 7,9 10.5 (9.2, 12.0) 46 stable stable trend 4.9 (-20.5, 38.4)
San Joaquin County 7,9 10.8 (9.3, 12.5) 37 stable stable trend 3.6 (-8.5, 17.3)
San Benito County 7,9 11.8 (6.7, 19.3) 3
*
*
Tulare County 7,9 11.9 (9.8, 14.3) 24 stable stable trend -0.7 (-11.0, 10.8)
San Bernardino County 7,9 12.4 (11.4, 13.4) 117 stable stable trend 0.5 (-9.4, 11.3)
Kern County 7,9 12.7 (11.1, 14.5) 46 stable stable trend 8.0 (-8.0, 26.7)
Alameda County 7,8 12.9 (11.8, 14.0) 107 rising rising trend 2.0 (1.1, 3.0)
San Francisco County 7,8 14.2 (12.7, 15.8) 68 stable stable trend 0.2 (-5.9, 6.6)
Stanislaus County 7,9 14.9 (12.9, 17.2) 39 stable stable trend 3.4 (-14.2, 24.6)
Monterey County 7,9 15.2 (12.9, 17.9) 31 stable stable trend 1.5 (-15.0, 21.2)
Riverside County 7,9 15.3 (14.3, 16.3) 170 rising rising trend 4.8 (4.0, 5.7)
Sacramento County 7,9 15.5 (14.3, 16.9) 118 stable stable trend -0.4 (-8.2, 7.9)
Yolo County 7,9 15.7 (12.3, 19.8) 15 stable stable trend 6.5 (-17.4, 37.2)
Santa Clara County 7,9 16.0 (14.8, 17.2) 150 stable stable trend -1.5 (-9.7, 7.4)
Solano County 7,9 16.9 (14.5, 19.5) 38 stable stable trend -6.3 (-19.5, 9.1)
Madera County 7,9 17.3 (13.3, 22.0) 13
*
*
Siskiyou County 7,9 18.1 (11.3, 27.6) 5
*
*
Sutter County 7,9 18.2 (13.2, 24.5) 9
*
*
San Mateo County 7,8 18.9 (17.1, 20.9) 80 rising rising trend 3.0 (2.0, 4.0)
Tehama County 7,9 19.0 (12.8, 27.1) 7
*
*
Yuba County 7,9 19.5 (13.3, 27.5) 7
*
*
Orange County 7,9 19.6 (18.6, 20.6) 319 stable stable trend -3.9 (-12.9, 5.9)
San Diego County 7,9 20.2 (19.2, 21.2) 330 stable stable trend -0.6 (-4.4, 3.5)
Contra Costa County 7,8 20.4 (18.8, 22.1) 123 rising rising trend 3.5 (2.5, 4.4)
Ventura County 7,9 20.7 (18.9, 22.8) 91 stable stable trend -6.1 (-14.5, 3.2)
Amador County 7,9 20.9 (14.2, 30.8) 7
*
*
Lake County 7,9 22.3 (15.9, 30.4) 10
*
*
Mendocino County 7,9 22.7 (17.2, 29.5) 13
*
*
Plumas County 7,9 22.7 (13.1, 38.2) 4
*
*
Butte County 7,9 23.5 (19.8, 27.9) 30 rising rising trend 17.0 (7.5, 27.3)
El Dorado County 7,9 24.9 (20.6, 29.8) 27 stable stable trend -8.1 (-32.0, 24.1)
Santa Barbara County 7,9 25.9 (22.9, 29.1) 60 stable stable trend -4.7 (-17.1, 9.6)
Calaveras County 7,9 25.9 (17.2, 37.7) 7
*
*
Placer County 7,9 26.1 (23.1, 29.5) 57 stable stable trend 1.7 (-14.9, 21.6)
Humboldt County 7,9 26.8 (21.6, 32.9) 20 stable stable trend -0.4 (-11.6, 12.2)
Santa Cruz County 7,9 27.4 (23.5, 31.7) 38 stable stable trend 7.8 (-4.3, 21.5)
Shasta County 7,9 27.6 (23.3, 32.5) 32 stable stable trend 5.7 (-12.5, 27.7)
Nevada County 7,9 28.5 (22.4, 35.8) 18 stable stable trend -4.2 (-26.5, 25.0)
Napa County 7,9 29.5 (24.3, 35.6) 24 stable stable trend -11.7 (-22.8, 1.0)
Sonoma County 7,9 30.4 (27.5, 33.5) 89 stable stable trend 3.0 (-2.4, 8.6)
Tuolumne County 7,9 31.7 (23.6, 42.1) 12
*
*
San Luis Obispo County 7,9 33.6 (29.6, 38.1) 55 stable stable trend 1.3 (-16.3, 22.6)
Marin County 7,8 34.3 (30.4, 38.7) 61 rising rising trend 4.5 (2.8, 6.1)
Alpine County 7,9
*
3 or fewer
*
*
Colusa County 7,9
*
3 or fewer
*
*
Del Norte County 7,9
*
3 or fewer
*
*
Glenn County 7,9
*
3 or fewer
*
*
Inyo County 7,9
*
3 or fewer
*
*
Lassen County 7,9
*
3 or fewer
*
*
Mariposa County 7,9
*
3 or fewer
*
*
Modoc County 7,9
*
3 or fewer
*
*
Mono County 7,9
*
3 or fewer
*
*
Sierra County 7,9
*
3 or fewer
*
*
Trinity County 7,9
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/03/2016 6:36 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. 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 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.


Return to Top