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Incidence Rates Table

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Incidence Rate Report for by County

Melanoma of the Skin, 2009-2013

All Races (includes Hispanic), Both Sexes, 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 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 3,9 21.1 (20.8, 21.3) 7,980 stable stable trend 1.2 (-0.2, 2.7)
US (SEER+NPCR) 1,10 20.3 (20.2, 20.3) 68,242 stable stable trend 0.7 (-0.4, 1.9)
Marin County 7,8 46.1 (42.9, 49.6) 158 stable stable trend 0.1 (-3.1, 3.4)
San Luis Obispo County 7,9 44.2 (40.9, 47.7) 145 stable stable trend 5.2 (-8.1, 20.5)
Tuolumne County 7,9 39.3 (33.2, 46.5) 32 stable stable trend 10.9 (-3.3, 27.1)
Shasta County 7,9 39.0 (35.3, 43.0) 89 stable stable trend 9.3 (-0.5, 20.0)
Calaveras County 7,9 38.9 (31.6, 47.5) 25 stable stable trend 6.8 (-27.9, 58.4)
Sonoma County 7,9 38.2 (35.9, 40.6) 220 stable stable trend -3.2 (-10.5, 4.6)
Placer County 7,9 35.7 (33.1, 38.4) 151 stable stable trend 2.9 (-13.5, 22.3)
El Dorado County 7,9 35.2 (31.6, 39.0) 79 stable stable trend 1.3 (-10.8, 15.0)
Santa Cruz County 7,9 34.2 (31.0, 37.6) 92 stable stable trend 2.0 (-7.2, 12.0)
Santa Barbara County 7,9 33.4 (31.0, 35.9) 150 stable stable trend 1.4 (-2.7, 5.8)
Tehama County 7,9 31.7 (26.1, 38.1) 24 falling falling trend -11.0 (-20.7, -0.2)
Napa County 7,9 31.4 (27.6, 35.6) 52 stable stable trend -6.4 (-20.1, 9.7)
Trinity County 7,9 30.3 (20.3, 44.5) 6 stable stable trend -5.7 (-33.2, 33.1)
Nevada County 7,9 30.1 (25.9, 34.9) 43 stable stable trend -1.7 (-13.8, 12.1)
Contra Costa County 7,8 29.4 (28.0, 30.9) 343 rising rising trend 4.0 (3.4, 4.7)
Humboldt County 7,9 28.5 (24.7, 32.8) 43 stable stable trend -2.1 (-5.7, 1.6)
Mariposa County 7,9 28.5 (20.3, 39.7) 9 stable stable trend 14.5 (-21.3, 66.8)
Lake County 7,9 27.7 (22.8, 33.5) 24 stable stable trend -10.5 (-21.4, 1.9)
Ventura County 7,9 27.3 (25.8, 29.0) 235 falling falling trend -4.8 (-8.9, -0.6)
Amador County 7,9 27.2 (21.3, 34.6) 16 rising rising trend 14.4 (10.9, 17.9)
Mendocino County 7,9 27.2 (22.8, 32.2) 30 stable stable trend 1.4 (-3.4, 6.4)
Butte County 7,9 27.2 (24.3, 30.3) 69 stable stable trend 3.5 (-12.7, 22.7)
San Diego County 7,9 26.9 (26.1, 27.7) 852 stable stable trend 0.0 (-8.0, 8.7)
Plumas County 7,9 26.5 (18.7, 37.2) 9 rising rising trend 16.8 (3.2, 32.3)
Orange County 7,9 25.7 (24.9, 26.5) 802 stable stable trend 0.7 (-1.1, 2.5)
Yolo County 7,9 25.3 (22.1, 28.9) 45 stable stable trend 10.0 (-8.4, 32.1)
Mono County 7,9 24.1 (13.8, 39.4) 4 stable stable trend 17.4 (-24.7, 83.0)
San Mateo County 7,8 24.1 (22.6, 25.6) 198 rising rising trend 3.0 (2.4, 3.7)
Yuba County 7,9 23.9 (18.8, 29.8) 16 stable stable trend -1.4 (-23.7, 27.4)
Sutter County 7,9 23.0 (18.8, 27.8) 22 stable stable trend 4.5 (-14.7, 28.0)
Modoc County 7,9 22.0 (12.7, 37.1) 3
*
*
Riverside County 7,9 22.0 (21.1, 22.9) 483 rising rising trend 5.7 (2.4, 9.1)
Monterey County 7,9 21.7 (19.7, 23.9) 86 stable stable trend 10.7 (-0.1, 22.8)
Solano County 7,9 21.5 (19.6, 23.6) 94 stable stable trend -5.5 (-11.7, 1.1)
Siskiyou County 7,9 21.0 (15.8, 27.5) 14 stable stable trend 1.3 (-12.4, 17.1)
Stanislaus County 7,9 20.8 (19.0, 22.7) 102 stable stable trend 1.8 (-7.5, 12.0)
Santa Clara County 7,9 20.7 (19.8, 21.7) 374 stable stable trend 6.1 (-1.2, 13.9)
Sacramento County 7,9 20.6 (19.6, 21.7) 297 stable stable trend 2.3 (-4.4, 9.4)
Glenn County 7,9 20.2 (13.8, 28.6) 7 stable stable trend -0.5 (-51.3, 103.3)
San Francisco County 7,8 19.2 (18.0, 20.5) 180 stable stable trend 2.9 (-0.2, 6.2)
Madera County 7,9 19.0 (15.9, 22.5) 28 stable stable trend -7.9 (-18.7, 4.2)
San Benito County 7,9 18.4 (13.5, 24.5) 10 stable stable trend 12.6 (-17.4, 53.4)
San Bernardino County 7,9 16.8 (15.9, 17.7) 300 rising rising trend 5.4 (2.5, 8.5)
Colusa County 7,9 16.7 (9.8, 26.6) 4 stable stable trend 15.6 (-21.0, 69.2)
Alameda County 7,8 16.6 (15.7, 17.5) 261 rising rising trend 2.4 (1.7, 3.0)
Inyo County 7,9 16.0 (9.8, 25.0) 4 stable stable trend -1.6 (-40.8, 63.4)
Fresno County 7,9 15.9 (14.7, 17.2) 134 stable stable trend 3.8 (-7.5, 16.4)
Kings County 7,9 15.6 (12.4, 19.2) 18 stable stable trend 0.0 (-10.5, 11.8)
Kern County 7,9 15.5 (14.2, 16.9) 111 stable stable trend 1.0 (-7.2, 10.0)
Tulare County 7,9 15.4 (13.6, 17.3) 58 stable stable trend -0.7 (-14.9, 15.8)
Lassen County 7,9 15.1 (9.5, 22.8) 5 stable stable trend 23.8 (-6.5, 64.0)
San Joaquin County 7,9 14.8 (13.5, 16.2) 97 stable stable trend -0.1 (-9.6, 10.4)
Merced County 7,9 14.6 (12.4, 17.0) 32 stable stable trend -2.7 (-27.0, 29.7)
Los Angeles County 7,9 13.2 (12.9, 13.6) 1,280 stable stable trend -1.4 (-3.3, 0.7)
Del Norte County 7,9 11.8 (7.2, 18.6) 4 stable stable trend 3.0 (-39.9, 76.4)
Imperial County 7,9 7.9 (6.0, 10.1) 13 stable stable trend -17.6 (-47.0, 28.2)
Alpine County 7,9
*
3 or fewer
*
*
Sierra County 7,9
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/25/2016 11:15 pm.
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 1969-2014 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.
* 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 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
3 Source: SEER November 2015 submission. State Cancer Registry also receives funding from CDC's National Program of Cancer Registries.
7 Source: SEER November 2015 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 1969-2014 US Population Data File is used with SEER November 2015 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. 1969-2014 US Population Data File is used with SEER November 2015 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 1969-2014 US Population Data File is used with NPCR November 2015 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.


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