Return to Home Mortality > Table > Data Table

Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

California Counties versus United States

Breast

All Races, Female

Sorted by priority index
Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling falling trend - 42,101 19.6 (19.5, 19.7) - -1.3 (-1.4, -1.1)
California - falling falling trend - 4,503 18.8 (18.6, 19.1) - -1.5 (-1.7, -1.3)
San Bernardino County 5 falling falling trend higher 246 22.0 (20.8, 23.3) 1.1 -1.2 (-1.5, -0.9)
Stanislaus County 5 falling falling trend higher 67 22.2 (19.8, 24.7) 1.1 -0.9 (-1.6, -0.2)
Amador County 6 stable stable trend similar 6 15.1 (9.8, 23.5) 0.8 -1.1 (-2.8, 0.5)
Del Norte County 6 stable stable trend similar 4 18.7 (11.1, 30.5) 1.0 -1.0 (-3.1, 1.2)
Madera County 6 stable stable trend similar 19 21.2 (17.0, 26.0) 1.1 -0.7 (-2.0, 0.6)
Orange County 6 stable stable trend similar 367 18.3 (17.4, 19.2) 0.9 -0.8 (-1.6, 0.1)
Sacramento County 6 stable stable trend similar 192 20.5 (19.1, 21.8) 1.0 -0.7 (-1.8, 0.3)
San Luis Obispo County 6 stable stable trend similar 39 18.8 (16.1, 21.9) 1.0 -0.5 (-1.6, 0.6)
Siskiyou County 6 stable stable trend similar 8 20.2 (14.0, 28.9) 1.0 -0.8 (-2.1, 0.6)
Yuba County 6 stable stable trend similar 10 25.5 (18.9, 33.8) 1.3 0.0 (-1.1, 1.0)
Butte County 8 falling falling trend similar 33 20.7 (17.4, 24.4) 1.1 -1.5 (-2.3, -0.7)
Calaveras County 8 falling falling trend similar 6 14.8 (9.5, 22.7) 0.8 -1.8 (-3.0, -0.6)
Contra Costa County 8 falling falling trend similar 141 18.5 (17.1, 20.0) 0.9 -2.2 (-2.5, -1.9)
Fresno County 8 falling falling trend similar 94 18.2 (16.6, 19.9) 0.9 -1.3 (-1.7, -0.9)
Humboldt County 8 falling falling trend similar 21 22.9 (18.5, 28.0) 1.2 -1.5 (-2.7, -0.3)
Kern County 8 falling falling trend similar 89 21.1 (19.2, 23.2) 1.1 -1.2 (-1.6, -0.8)
Lake County 8 falling falling trend similar 11 21.1 (15.6, 28.4) 1.1 -1.7 (-3.0, -0.4)
Los Angeles County 8 falling falling trend similar 1,163 19.2 (18.7, 19.7) 1.0 -1.4 (-1.7, -1.1)
Mendocino County 8 falling falling trend similar 11 16.3 (12.2, 21.7) 0.8 -1.9 (-2.9, -0.8)
Merced County 8 falling falling trend similar 29 22.2 (18.7, 26.1) 1.1 -1.1 (-2.0, -0.2)
Napa County 8 falling falling trend similar 19 18.2 (14.6, 22.4) 0.9 -1.9 (-2.8, -1.1)
Nevada County 8 falling falling trend similar 15 16.9 (12.8, 22.0) 0.9 -2.1 (-3.1, -1.0)
Placer County 8 falling falling trend similar 55 18.0 (15.9, 20.4) 0.9 -1.9 (-2.5, -1.2)
Riverside County 8 falling falling trend similar 283 19.8 (18.7, 20.9) 1.0 -1.6 (-1.9, -1.2)
San Benito County 8 falling falling trend similar 6 17.7 (12.0, 25.4) 0.9 -2.8 (-4.3, -1.2)
San Diego County 8 falling falling trend similar 401 20.1 (19.2, 21.1) 1.0 -1.9 (-2.2, -1.7)
San Joaquin County 8 falling falling trend similar 81 19.5 (17.7, 21.6) 1.0 -1.6 (-2.1, -1.1)
Santa Barbara County 8 falling falling trend similar 56 20.3 (17.9, 23.0) 1.0 -1.2 (-1.9, -0.5)
Shasta County 8 falling falling trend similar 29 21.2 (17.6, 25.2) 1.1 -1.8 (-2.7, -1.0)
Sonoma County 8 falling falling trend similar 72 18.4 (16.4, 20.5) 0.9 -1.9 (-2.5, -1.3)
Sutter County 8 falling falling trend similar 13 21.7 (16.5, 27.9) 1.1 -1.3 (-2.3, -0.3)
Tehama County 8 falling falling trend similar 10 18.7 (13.7, 25.2) 1.0 -2.2 (-3.1, -1.2)
Tulare County 8 falling falling trend similar 42 19.0 (16.5, 21.8) 1.0 -1.4 (-2.0, -0.8)
Tuolumne County 8 falling falling trend similar 9 18.8 (13.3, 26.4) 1.0 -2.8 (-3.8, -1.7)
Ventura County 8 falling falling trend similar 102 18.6 (17.0, 20.4) 0.9 -1.7 (-2.2, -1.3)
Yolo County 8 falling falling trend similar 20 17.9 (14.5, 22.0) 0.9 -2.0 (-2.9, -1.0)
Alameda County 9 falling falling trend lower 176 17.4 (16.2, 18.6) 0.9 -2.2 (-2.5, -2.0)
El Dorado County 9 falling falling trend lower 23 15.3 (12.5, 18.5) 0.8 -2.9 (-3.6, -2.2)
Imperial County 9 falling falling trend lower 14 15.1 (11.7, 19.2) 0.8 -2.8 (-3.9, -1.7)
Kings County 9 falling falling trend lower 9 14.5 (10.6, 19.4) 0.7 -2.2 (-3.2, -1.1)
Marin County 9 falling falling trend lower 38 16.9 (14.5, 19.7) 0.9 -2.9 (-3.5, -2.3)
Monterey County 9 falling falling trend lower 36 14.6 (12.5, 17.0) 0.7 -2.2 (-2.9, -1.4)
San Francisco County 9 falling falling trend lower 85 14.8 (13.4, 16.4) 0.8 -2.6 (-3.0, -2.2)
San Mateo County 9 falling falling trend lower 77 14.6 (13.2, 16.2) 0.7 -2.7 (-3.1, -2.3)
Santa Clara County 9 falling falling trend lower 178 15.7 (14.7, 16.8) 0.8 -2.3 (-2.6, -2.1)
Santa Cruz County 9 falling falling trend lower 30 16.7 (14.0, 19.7) 0.9 -1.9 (-2.7, -1.2)
Solano County 9 falling falling trend lower 49 16.7 (14.6, 19.0) 0.9 -2.2 (-2.8, -1.6)
Lassen County
**
** similar 4 28.9 (17.8, 44.9) 1.5
**
Mariposa County
**
** similar 4 23.8 (13.1, 41.6) 1.2
**
Alpine County
**
**
*
3 or fewer
*
*
**
Colusa County
**
**
*
3 or fewer
*
*
**
Glenn County
**
**
*
3 or fewer
*
*
**
Inyo County
**
**
*
3 or fewer
*
*
**
Modoc County
**
**
*
3 or fewer
*
*
**
Mono County
**
**
*
3 or fewer
*
*
**
Plumas County
**
**
*
3 or fewer
*
*
**
Sierra County
**
**
*
3 or fewer
*
*
**
Trinity County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/19/2024 2:50 am.

Trend2
     Rising     when 95% confidence interval of average annual percent change is above 0.
     Stable     when 95% confidence interval of average annual percent change includes 0.
     Falling     when 95% confidence interval of average annual percent change is below 0.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Alpine County, Colusa County, Glenn County, Inyo County, Modoc County, Mono County, Plumas County, Sierra County, Trinity County

Trend for the following could not be reliably determined due to small number of deaths per year:
Lassen County, Mariposa County


Interpret Rankings provides insight into interpreting cancer 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.

Return to Top