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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

Colon & Rectum

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 - falling falling trend - 52,152 13.1 (13.1, 13.2) - -1.9 (-2.1, -1.8)
California - falling falling trend - 5,333 12.1 (11.9, 12.2) - -2.1 (-2.2, -2.1)
Los Angeles County 8 falling falling trend similar 1,405 12.8 (12.5, 13.1) 1.0 -1.9 (-2.0, -1.8)
San Diego County 9 falling falling trend lower 429 11.7 (11.2, 12.2) 0.9 -2.1 (-2.3, -1.9)
Orange County 9 falling falling trend lower 391 10.5 (10.0, 11.0) 0.8 -2.5 (-2.7, -2.3)
Riverside County 8 falling falling trend similar 352 12.9 (12.3, 13.5) 1.0 -1.9 (-2.1, -1.6)
San Bernardino County 5 falling falling trend higher 295 14.7 (14.0, 15.5) 1.1 -1.6 (-1.9, -1.3)
Sacramento County 8 falling falling trend similar 223 13.1 (12.4, 14.0) 1.0 -1.6 (-1.9, -1.3)
Alameda County 9 falling falling trend lower 206 11.3 (10.7, 12.1) 0.9 -2.7 (-3.0, -2.4)
Santa Clara County 9 falling falling trend lower 205 9.6 (9.0, 10.2) 0.7 -2.8 (-3.1, -2.4)
Contra Costa County 9 falling falling trend lower 162 11.6 (10.8, 12.4) 0.9 -2.3 (-2.6, -1.9)
Fresno County 6 stable stable trend similar 124 12.9 (11.9, 14.0) 1.0 3.9 (-3.5, 11.9)
San Francisco County 9 falling falling trend lower 122 11.3 (10.4, 12.2) 0.9 -2.6 (-3.0, -2.3)
Ventura County 9 falling falling trend lower 120 11.8 (10.8, 12.8) 0.9 -2.0 (-2.3, -1.6)
San Joaquin County 8 falling falling trend similar 103 13.8 (12.6, 15.1) 1.1 -1.6 (-2.0, -1.2)
Kern County 8 falling falling trend similar 96 12.0 (11.0, 13.2) 0.9 -1.9 (-2.8, -0.9)
San Mateo County 9 falling falling trend lower 90 9.2 (8.4, 10.1) 0.7 -3.3 (-3.7, -3.0)
Stanislaus County 5 falling falling trend higher 84 15.3 (13.8, 16.8) 1.2 -1.2 (-1.8, -0.7)
Sonoma County 8 falling falling trend similar 83 12.1 (10.9, 13.3) 0.9 -2.5 (-3.0, -2.0)
Solano County 8 falling falling trend similar 70 13.5 (12.0, 15.0) 1.0 -2.1 (-2.6, -1.6)
Placer County 9 falling falling trend lower 66 11.7 (10.4, 13.0) 0.9 -2.4 (-3.0, -1.8)
Tulare County 8 falling falling trend similar 59 14.0 (12.4, 15.7) 1.1 -1.1 (-1.6, -0.5)
Santa Barbara County 9 falling falling trend lower 54 10.2 (9.0, 11.5) 0.8 -2.1 (-2.7, -1.5)
Monterey County 9 falling falling trend lower 47 10.3 (9.0, 11.8) 0.8 -3.2 (-3.8, -2.5)
San Luis Obispo County 9 falling falling trend lower 44 10.8 (9.4, 12.4) 0.8 -2.4 (-3.1, -1.6)
Butte County 8 falling falling trend similar 39 13.4 (11.6, 15.6) 1.0 -2.1 (-2.7, -1.4)
Marin County 9 falling falling trend lower 38 8.9 (7.6, 10.3) 0.7 -3.4 (-4.2, -2.7)
Santa Cruz County 9 falling falling trend lower 35 10.6 (9.0, 12.4) 0.8 -3.0 (-3.7, -2.3)
Merced County 8 falling falling trend similar 34 14.3 (12.2, 16.6) 1.1 -2.0 (-2.6, -1.4)
Shasta County 8 falling falling trend similar 34 13.3 (11.3, 15.6) 1.0 -1.9 (-2.6, -1.2)
El Dorado County 9 falling falling trend lower 31 11.0 (9.3, 13.0) 0.8 -2.4 (-3.0, -1.7)
Humboldt County 8 falling falling trend similar 23 13.3 (10.9, 16.1) 1.0 -1.9 (-2.7, -1.1)
Imperial County 8 falling falling trend similar 23 12.3 (10.1, 14.8) 0.9 -1.2 (-2.2, -0.2)
Napa County 8 falling falling trend similar 21 11.1 (9.0, 13.5) 0.8 -2.7 (-3.6, -1.7)
Yolo County 9 falling falling trend lower 21 10.4 (8.5, 12.6) 0.8 -2.6 (-3.3, -1.9)
Madera County 8 falling falling trend similar 19 12.2 (9.9, 15.0) 0.9 -1.6 (-2.2, -0.9)
Mendocino County 8 falling falling trend similar 18 14.0 (11.1, 17.6) 1.1 -1.2 (-2.0, -0.3)
Nevada County 9 falling falling trend lower 18 10.4 (8.2, 13.2) 0.8 -2.3 (-3.3, -1.3)
Kings County 8 falling falling trend similar 15 11.9 (9.4, 14.9) 0.9 -2.5 (-3.7, -1.2)
Lake County 8 falling falling trend similar 15 15.2 (11.8, 19.5) 1.2 -2.2 (-3.2, -1.1)
Sutter County 8 falling falling trend similar 12 10.5 (8.0, 13.6) 0.8 -3.3 (-4.4, -2.2)
Tehama County 8 falling falling trend similar 12 13.0 (9.9, 17.0) 1.0 -2.7 (-3.5, -1.9)
Siskiyou County 6 stable stable trend similar 11 15.1 (11.3, 20.1) 1.2 -0.8 (-1.9, 0.4)
Calaveras County 8 falling falling trend similar 11 13.4 (10.0, 17.9) 1.0 -2.5 (-3.6, -1.3)
Tuolumne County 8 falling falling trend similar 11 12.0 (8.9, 16.1) 0.9 -2.0 (-3.1, -0.8)
Yuba County 8 falling falling trend similar 11 15.1 (11.3, 19.8) 1.2 -1.3 (-2.3, -0.2)
Amador County 8 falling falling trend similar 8 11.4 (8.1, 16.0) 0.9 -2.5 (-4.1, -0.8)
San Benito County 9 falling falling trend lower 6 9.6 (6.3, 13.8) 0.7 -4.0 (-5.5, -2.4)
Mariposa County 8 falling falling trend similar 5 13.9 (8.7, 22.2) 1.1 -2.4 (-4.1, -0.6)
Plumas County 8 falling falling trend similar 5 14.1 (8.2, 23.4) 1.1 -2.6 (-4.1, -1.0)
Del Norte County 8 falling falling trend similar 4 11.2 (6.8, 17.6) 0.9 -2.6 (-4.1, -1.1)
Inyo County 8 falling falling trend similar 4 14.6 (8.4, 24.2) 1.1 -2.6 (-4.3, -0.9)
Glenn County 6 stable stable trend similar 4 11.4 (6.8, 18.0) 0.9 -1.4 (-3.0, 0.2)
Lassen County 8 falling falling trend similar 3 10.1 (5.8, 16.4) 0.8 -3.6 (-5.6, -1.6)
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 04/29/2024 1:04 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.
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


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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