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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), 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 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 15.6 (15.3, 15.8) 3,144 stable stable trend 0.2 (-1.3, 1.9)
US (SEER+NPCR) 1,10 16.2 (16.1, 16.3) 28,423 stable stable trend 0.1 (-1.0, 1.2)
Tuolumne County 7,9 36.1 (27.1, 47.5) 13 stable stable trend 4.9 (-21.4, 40.0)
San Luis Obispo County 7,9 34.6 (30.5, 39.1) 57 stable stable trend 9.4 (-6.1, 27.5)
Marin County 7,8 34.3 (30.3, 38.6) 61 rising rising trend 4.4 (2.9, 5.9)
Calaveras County 7,9 32.5 (22.6, 45.5) 9 stable stable trend 3.5 (-23.8, 40.4)
Sonoma County 7,9 30.4 (27.6, 33.5) 93 stable stable trend -2.1 (-6.6, 2.6)
Shasta County 7,9 27.8 (23.5, 32.8) 32 stable stable trend 7.2 (-11.3, 29.4)
Santa Cruz County 7,9 27.5 (23.6, 31.9) 38 stable stable trend 2.9 (-12.0, 20.3)
Napa County 7,9 27.0 (22.1, 32.7) 23 stable stable trend -8.1 (-21.1, 6.9)
Placer County 7,9 26.9 (23.8, 30.3) 59 stable stable trend 6.5 (-9.8, 25.9)
Humboldt County 7,9 26.6 (21.3, 32.7) 20 stable stable trend -5.1 (-14.0, 4.8)
El Dorado County 7,9 25.5 (21.3, 30.3) 29 stable stable trend -6.7 (-28.4, 21.7)
Yuba County 7,9 24.6 (17.6, 33.5) 8 stable stable trend 1.1 (-30.3, 46.7)
Nevada County 7,9 24.6 (19.1, 31.3) 17 stable stable trend -4.4 (-30.6, 31.6)
Butte County 7,9 24.5 (20.6, 28.9) 32 stable stable trend 4.9 (-16.1, 31.2)
Amador County 7,9 24.3 (16.1, 36.0) 7 stable stable trend 10.3 (-19.1, 50.4)
Mendocino County 7,9 24.3 (18.4, 31.5) 13 stable stable trend 3.2 (-20.9, 34.8)
Santa Barbara County 7,9 24.0 (21.2, 27.0) 56 stable stable trend -1.3 (-11.9, 10.6)
Tehama County 7,9 21.9 (15.2, 30.6) 8 stable stable trend -13.8 (-42.8, 30.0)
Lake County 7,9 21.6 (15.3, 29.7) 9 stable stable trend -13.6 (-46.7, 40.3)
Contra Costa County 7,8 21.4 (19.7, 23.1) 132 rising rising trend 3.6 (2.7, 4.4)
Ventura County 7,9 20.1 (18.3, 22.1) 90 stable stable trend -5.6 (-13.7, 3.3)
San Diego County 7,9 20.0 (19.0, 21.0) 333 stable stable trend -1.5 (-6.2, 3.4)
Orange County 7,9 18.9 (17.9, 19.8) 314 stable stable trend -1.4 (-9.7, 7.8)
Plumas County 7,9 18.4 (9.7, 33.3) 3
*
*
Siskiyou County 7,9 18.2 (11.2, 28.1) 5 stable stable trend -0.6 (-28.0, 37.0)
Sutter County 7,9 18.2 (13.2, 24.5) 9 stable stable trend 2.4 (-38.2, 69.6)
San Mateo County 7,8 17.4 (15.6, 19.3) 75 rising rising trend 2.7 (1.7, 3.7)
Santa Clara County 7,9 16.6 (15.4, 17.8) 159 stable stable trend 5.3 (-5.2, 16.9)
Solano County 7,9 16.3 (14.0, 18.9) 38 stable stable trend -9.2 (-19.1, 2.0)
Monterey County 7,9 16.3 (13.9, 19.0) 34 rising rising trend 16.2 (5.1, 28.5)
Riverside County 7,9 16.0 (15.0, 17.1) 185 rising rising trend 3.8 (1.3, 6.4)
Yolo County 7,9 15.9 (12.4, 20.0) 15 stable stable trend 14.4 (-5.4, 38.3)
Sacramento County 7,9 15.8 (14.5, 17.1) 122 stable stable trend 2.2 (-6.3, 11.5)
Stanislaus County 7,9 15.1 (13.1, 17.4) 40 stable stable trend 2.6 (-14.4, 22.8)
San Francisco County 7,8 14.2 (12.7, 15.9) 68 stable stable trend -0.2 (-4.9, 4.8)
San Benito County 7,9 13.9 (8.4, 21.7) 4 stable stable trend 38.1 (-11.3, 115.1)
Madera County 7,9 13.6 (10.1, 17.9) 10 stable stable trend -8.6 (-29.6, 18.7)
Kern County 7,9 12.6 (11.0, 14.3) 47 stable stable trend 1.8 (-20.8, 30.8)
Alameda County 7,8 12.6 (11.5, 13.7) 109 rising rising trend 2.2 (1.3, 3.0)
San Bernardino County 7,9 12.4 (11.4, 13.4) 119 stable stable trend 2.8 (-5.2, 11.4)
Fresno County 7,9 11.6 (10.2, 13.2) 52 stable stable trend 4.5 (-18.1, 33.3)
Tulare County 7,9 11.5 (9.4, 13.8) 23 stable stable trend -2.0 (-13.6, 11.1)
San Joaquin County 7,9 11.4 (9.8, 13.1) 39 stable stable trend 2.8 (-8.3, 15.2)
Merced County 7,9 10.1 (7.7, 13.1) 12 stable stable trend 3.4 (-25.5, 43.5)
Los Angeles County 7,9 9.3 (9.0, 9.7) 494 falling falling trend -1.5 (-2.9, -0.1)
Kings County 7,9 8.7 (5.6, 12.9) 5 stable stable trend 2.7 (-49.5, 108.9)
Imperial County 7,9 4.0 (2.3, 6.4) 3
*
*
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 07/25/2016 12:21 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 1969-2014 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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