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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

California Counties versus United States

Pancreas

All Races, Both Sexes

Sorted by count
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 ascending
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 - rising rising trend - 44,868 11.1 (11.0, 11.1) - 0.1 (0.0, 0.2)
California - falling falling trend - 4,573 10.3 (10.2, 10.4) - -0.2 (-0.3, 0.0)
Los Angeles County 6 stable stable trend similar 1,136 10.3 (10.1, 10.6) 0.9 0.0 (-0.2, 0.1)
San Diego County 6 stable stable trend similar 392 10.7 (10.2, 11.2) 1.0 0.2 (0.0, 0.4)
Orange County 7 stable stable trend lower 359 9.6 (9.2, 10.1) 0.9 -0.2 (-0.5, 0.1)
Riverside County 6 stable stable trend similar 276 10.0 (9.5, 10.6) 0.9 -1.2 (-2.6, 0.4)
San Bernardino County 6 stable stable trend similar 206 10.1 (9.5, 10.8) 0.9 -0.3 (-0.7, 0.2)
Santa Clara County 7 stable stable trend lower 203 9.7 (9.1, 10.3) 0.9 0.1 (-0.2, 0.4)
Sacramento County 2 rising rising trend similar 194 11.5 (10.7, 12.2) 1.0 0.6 (0.1, 1.0)
Alameda County 7 stable stable trend lower 178 9.8 (9.1, 10.5) 0.9 -0.3 (-0.7, 0.1)
Contra Costa County 6 stable stable trend similar 152 10.6 (9.9, 11.4) 1.0 0.1 (-0.3, 0.5)
Ventura County 6 stable stable trend similar 113 10.8 (9.9, 11.8) 1.0 0.5 (-0.1, 1.0)
San Francisco County 7 stable stable trend lower 104 9.6 (8.8, 10.5) 0.9 0.0 (-0.5, 0.5)
Fresno County 6 stable stable trend similar 102 10.4 (9.5, 11.4) 0.9 0.0 (-0.5, 0.6)
San Mateo County 9 falling falling trend lower 95 9.8 (9.0, 10.8) 0.9 -0.4 (-0.6, -0.1)
Kern County 6 stable stable trend similar 82 10.4 (9.4, 11.5) 0.9 -0.3 (-0.9, 0.4)
San Joaquin County 6 stable stable trend similar 81 10.6 (9.6, 11.8) 1.0 0.1 (-0.3, 0.5)
Sonoma County 6 stable stable trend similar 74 10.3 (9.2, 11.4) 0.9 -0.4 (-0.9, 0.0)
Solano County 6 stable stable trend similar 66 12.0 (10.7, 13.4) 1.1 0.2 (-0.4, 0.8)
Stanislaus County 2 rising rising trend similar 66 11.5 (10.2, 12.8) 1.0 1.0 (0.4, 1.7)
Placer County 7 stable stable trend lower 57 9.8 (8.7, 11.0) 0.9 -0.4 (-1.2, 0.4)
Santa Barbara County 6 stable stable trend similar 56 10.5 (9.3, 11.8) 1.0 0.0 (-0.7, 0.6)
Monterey County 7 stable stable trend lower 44 9.7 (8.4, 11.1) 0.9 -0.3 (-1.0, 0.4)
San Luis Obispo County 6 stable stable trend similar 43 10.6 (9.1, 12.1) 1.0 0.1 (-0.5, 0.6)
Marin County 9 falling falling trend lower 42 9.6 (8.4, 11.1) 0.9 -0.7 (-1.4, -0.1)
Tulare County 6 stable stable trend similar 42 10.1 (8.7, 11.6) 0.9 -0.4 (-1.2, 0.4)
Santa Cruz County 6 stable stable trend similar 34 10.4 (8.8, 12.1) 0.9 0.3 (-0.2, 0.9)
Butte County 6 stable stable trend similar 33 11.3 (9.5, 13.2) 1.0 0.4 (-0.5, 1.2)
Shasta County 6 stable stable trend similar 31 11.3 (9.6, 13.3) 1.0 0.4 (-0.5, 1.3)
Merced County 6 stable stable trend similar 29 11.6 (9.8, 13.7) 1.1 0.3 (-0.5, 1.2)
El Dorado County 7 stable stable trend lower 27 9.2 (7.7, 11.0) 0.8 -0.2 (-1.4, 0.9)
Napa County 6 stable stable trend similar 23 11.5 (9.4, 13.8) 1.0 -0.2 (-1.4, 0.9)
Nevada County 6 stable stable trend similar 22 12.5 (10.1, 15.4) 1.1 -0.2 (-1.2, 0.8)
Humboldt County 6 stable stable trend similar 19 10.6 (8.5, 13.0) 1.0 -0.2 (-1.3, 0.9)
Yolo County 7 stable stable trend lower 19 8.9 (7.2, 10.9) 0.8 -0.6 (-1.8, 0.5)
Madera County 7 stable stable trend lower 15 9.0 (7.0, 11.3) 0.8 0.4 (-0.9, 1.8)
Imperial County 9 falling falling trend lower 15 8.0 (6.3, 10.1) 0.7 -1.8 (-3.0, -0.5)
Tuolumne County 2 rising rising trend similar 13 13.1 (10.0, 17.1) 1.2 1.5 (0.1, 2.9)
Mendocino County 6 stable stable trend similar 13 9.3 (7.1, 12.2) 0.8 -0.9 (-2.2, 0.4)
Sutter County 6 stable stable trend similar 13 10.9 (8.4, 14.0) 1.0 -0.4 (-1.9, 1.2)
Kings County 6 stable stable trend similar 13 10.3 (7.9, 13.1) 0.9 -0.1 (-1.3, 1.1)
Tehama County 6 stable stable trend similar 11 11.3 (8.5, 14.9) 1.0 0.1 (-1.2, 1.4)
Yuba County 6 stable stable trend similar 9 11.5 (8.4, 15.5) 1.0 0.1 (-1.1, 1.4)
Lake County 7 stable stable trend lower 9 7.9 (5.7, 10.9) 0.7 -0.7 (-2.2, 0.9)
Calaveras County 6 stable stable trend similar 8 8.8 (6.3, 12.4) 0.8 -0.3 (-1.7, 1.2)
Siskiyou County 6 stable stable trend similar 7 8.8 (6.1, 12.7) 0.8 34.7 (-7.0, 95.1)
San Benito County 6 stable stable trend similar 7 10.3 (7.1, 14.5) 0.9 -0.6 (-2.0, 0.8)
Amador County
**
** lower 6 7.1 (4.7, 10.8) 0.6
**
Del Norte County
**
** similar 4 10.3 (6.3, 16.3) 0.9
**
Glenn County
**
** similar 4 11.0 (6.6, 17.4) 1.0
**
Inyo County
**
** similar 4 11.2 (6.6, 18.7) 1.0
**
Lassen County
**
** similar 5 13.9 (8.7, 21.1) 1.3
**
Mariposa County
**
** similar 3 9.5 (5.5, 16.8) 0.9
**
Plumas County
**
** similar 5 12.0 (7.4, 19.5) 1.1
**
Alpine County
**
**
*
3 or fewer
*
*
**
Colusa County
**
**
*
3 or fewer
*
*
**
Modoc County
**
**
*
3 or fewer
*
*
**
Mono County
**
**
*
3 or fewer
*
*
**
Sierra County
**
**
*
3 or fewer
*
*
**
Trinity County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/29/2024 7:40 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, Modoc County, Mono County, Sierra County, Trinity County

Trend for the following could not be reliably determined due to small number of deaths per year:
Amador County, Del Norte County, Glenn County, Inyo County, Lassen County, Mariposa County, Plumas 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.

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