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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2014-2018

California Counties versus United States

Pancreas

All Races, Both Sexes

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 - rising rising trend - 42,743 11.0 (11.0, 11.1) - 0.3 (0.2, 0.3)
California - stable stable trend - 4,376 10.3 (10.1, 10.4) - -0.2 (-0.4, 0.0)
Riverside County 2 rising rising trend similar 271 10.4 (9.9, 11.0) 0.9 0.5 (0.1, 0.8)
Stanislaus County 2 rising rising trend similar 67 12.3 (11.0, 13.7) 1.1 1.1 (0.4, 1.8)
Tuolumne County 2 rising rising trend similar 12 12.3 (9.4, 16.3) 1.1 1.6 (0.0, 3.1)
Ventura County 2 rising rising trend similar 110 11.2 (10.3, 12.2) 1.0 0.6 (0.0, 1.2)
Alameda County 6 stable stable trend similar 175 10.0 (9.3, 10.7) 0.9 -0.2 (-0.7, 0.2)
Butte County 6 stable stable trend similar 32 10.6 (9.0, 12.4) 1.0 0.4 (-0.5, 1.4)
Calaveras County 6 stable stable trend similar 7 8.9 (6.2, 12.8) 0.8 0.0 (-1.6, 1.6)
Contra Costa County 6 stable stable trend similar 142 10.4 (9.7, 11.3) 0.9 0.1 (-0.4, 0.6)
Fresno County 6 stable stable trend similar 95 10.3 (9.4, 11.3) 0.9 -0.1 (-0.7, 0.5)
Humboldt County 6 stable stable trend similar 17 9.8 (7.8, 12.3) 0.9 -0.7 (-1.9, 0.6)
Kern County 6 stable stable trend similar 85 11.3 (10.3, 12.5) 1.0 -0.1 (-0.8, 0.6)
Kings County 6 stable stable trend similar 12 10.1 (7.6, 13.0) 0.9 -0.3 (-1.6, 1.2)
Lake County 6 stable stable trend similar 11 11.0 (8.3, 14.6) 1.0 -0.2 (-1.9, 1.4)
Los Angeles County 6 stable stable trend similar 1,099 10.4 (10.1, 10.6) 0.9 0.0 (-0.2, 0.2)
Madera County 6 stable stable trend similar 15 9.5 (7.5, 12.0) 0.9 0.7 (-0.8, 2.2)
Marin County 6 stable stable trend similar 41 9.8 (8.5, 11.4) 0.9 1.0 (-0.3, 2.3)
Merced County 6 stable stable trend similar 28 11.8 (9.9, 14.0) 1.1 0.5 (-0.5, 1.5)
Monterey County 6 stable stable trend similar 44 10.1 (8.7, 11.5) 0.9 -0.2 (-1.0, 0.6)
Napa County 6 stable stable trend similar 21 10.7 (8.8, 13.0) 1.0 -0.5 (-1.8, 0.8)
Nevada County 6 stable stable trend similar 19 10.3 (8.3, 12.9) 0.9 -0.5 (-1.6, 0.5)
Orange County 6 stable stable trend similar 352 10.0 (9.5, 10.5) 0.9 -0.2 (-0.6, 0.1)
Placer County 6 stable stable trend similar 60 11.2 (10.0, 12.6) 1.0 0.0 (-0.8, 0.8)
Sacramento County 6 stable stable trend similar 173 10.7 (10.0, 11.5) 1.0 0.4 (-0.1, 0.9)
San Benito County 6 stable stable trend similar 7 11.3 (7.7, 15.9) 1.0 -0.8 (-2.4, 1.0)
San Bernardino County 6 stable stable trend similar 193 10.0 (9.3, 10.6) 0.9 -0.3 (-0.8, 0.2)
San Diego County 6 stable stable trend similar 373 10.6 (10.1, 11.1) 1.0 0.2 (0.0, 0.5)
San Joaquin County 6 stable stable trend similar 72 10.1 (9.0, 11.2) 0.9 0.0 (-0.4, 0.4)
San Luis Obispo County 6 stable stable trend similar 41 10.4 (9.0, 12.0) 0.9 0.1 (-0.5, 0.8)
Santa Barbara County 6 stable stable trend similar 58 11.3 (10.0, 12.7) 1.0 -0.1 (-0.8, 0.7)
Santa Cruz County 6 stable stable trend similar 32 10.0 (8.5, 11.8) 0.9 0.3 (-0.3, 1.0)
Shasta County 6 stable stable trend similar 31 11.3 (9.6, 13.3) 1.0 0.3 (-0.7, 1.4)
Solano County 6 stable stable trend similar 60 11.4 (10.1, 12.9) 1.0 0.4 (-0.3, 1.0)
Sonoma County 6 stable stable trend similar 70 9.9 (8.9, 11.1) 0.9 -0.4 (-0.9, 0.1)
Tehama County 6 stable stable trend similar 11 12.1 (9.1, 15.9) 1.1 0.5 (-1.0, 1.9)
Yolo County 6 stable stable trend similar 20 9.4 (7.6, 11.5) 0.9 -0.6 (-1.9, 0.8)
Yuba County 6 stable stable trend similar 9 11.9 (8.6, 16.0) 1.1 0.4 (-1.1, 1.8)
Mendocino County 7 stable stable trend lower 11 7.9 (5.8, 10.6) 0.7 -1.4 (-2.9, 0.1)
San Francisco County 7 stable stable trend lower 98 9.2 (8.4, 10.0) 0.8 0.0 (-0.5, 0.6)
Santa Clara County 7 stable stable trend lower 188 9.4 (8.8, 10.0) 0.9 0.0 (-0.3, 0.4)
Sutter County 7 stable stable trend lower 10 8.0 (5.9, 10.7) 0.7 -1.7 (-3.3, 0.0)
Tulare County 7 stable stable trend lower 37 9.3 (8.0, 10.7) 0.8 -0.8 (-1.7, 0.1)
El Dorado County 9 falling falling trend lower 22 7.8 (6.3, 9.5) 0.7 -5.8 (-11.1, -0.1)
Imperial County 9 falling falling trend lower 16 9.0 (7.1, 11.2) 0.8 -1.6 (-2.9, -0.3)
San Mateo County 9 falling falling trend lower 91 9.6 (8.8, 10.6) 0.9 -0.4 (-0.7, -0.1)
Siskiyou County 9 falling falling trend lower 5 6.3 (4.0, 9.7) 0.6 -20.5 (-29.7, -10.0)
Amador County
**
** similar 6 8.1 (5.4, 12.2) 0.7
**
Colusa County
**
** similar 3 14.3 (8.2, 23.2) 1.3
**
Del Norte County
**
** similar 4 11.5 (7.1, 17.9) 1.0
**
Glenn County
**
** similar 4 11.1 (6.6, 17.5) 1.0
**
Inyo County
**
** similar 4 11.5 (6.9, 18.9) 1.0
**
Lassen County
**
** similar 4 11.9 (7.1, 18.7) 1.1
**
Alpine County
**
**
*
3 or fewer
*
*
**
Mariposa 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 03/08/2021 5:14 pm.

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 1969-2017 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, Mariposa 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:
Amador County, Colusa County, Del Norte County, Glenn County, Inyo County, Lassen 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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