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Death Rates Table

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Death Rate Report for California by County

Esophagus, 2015-2019

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by CI*Rank
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
California *** 3.1 (3.0, 3.1) N/A 1,347 falling falling trend -1.5 (-1.7, -1.3)
United States *** 3.9 (3.8, 3.9) N/A 15,474 falling falling trend -1.1 (-1.2, -1.0)
Lake County *** 6.5 (4.4, 9.4) 1 (1, 26) 7
*
*
Amador County *** 6.3 (3.8, 10.3) 2 (1, 39) 4
*
*
Siskiyou County *** 6.1 (3.6, 9.9) 3 (1, 41) 4
*
*
Yuba County *** 5.8 (3.5, 8.9) 4 (1, 41) 4 stable stable trend 0.5 (-1.8, 2.8)
Shasta County *** 5.7 (4.5, 7.3) 5 (1, 18) 15 stable stable trend 1.3 (-0.2, 2.9)
Tehama County *** 5.6 (3.7, 8.4) 6 (1, 39) 5 stable stable trend 0.1 (-1.6, 1.9)
Tuolumne County *** 5.6 (3.6, 8.6) 7 (1, 38) 6
*
*
Butte County *** 5.0 (3.9, 6.3) 8 (1, 28) 15 stable stable trend -1.3 (-3.1, 0.6)
Humboldt County *** 4.9 (3.5, 6.8) 9 (1, 38) 8 stable stable trend -0.2 (-2.0, 1.6)
Nevada County *** 4.9 (3.5, 6.8) 10 (1, 37) 9 stable stable trend -0.8 (-2.7, 1.0)
Sutter County *** 4.6 (3.0, 6.8) 11 (1, 43) 5 stable stable trend 0.7 (-1.5, 2.9)
Placer County *** 4.0 (3.3, 4.9) 12 (6, 34) 22 stable stable trend 0.0 (-1.0, 1.0)
El Dorado County *** 4.0 (3.0, 5.3) 13 (4, 40) 12 stable stable trend -1.1 (-2.7, 0.5)
Sonoma County *** 3.9 (3.3, 4.7) 14 (7, 33) 28 stable stable trend -0.3 (-1.4, 0.7)
Monterey County *** 3.9 (3.1, 4.8) 15 (5, 37) 17 stable stable trend -0.9 (-1.9, 0.2)
Madera County *** 3.7 (2.5, 5.3) 16 (4, 44) 6
*
*
Tulare County *** 3.7 (2.9, 4.6) 17 (7, 39) 16 stable stable trend 0.3 (-1.4, 2.0)
Stanislaus County *** 3.7 (3.0, 4.5) 18 (8, 38) 20 stable stable trend 0.2 (-0.6, 1.0)
Solano County *** 3.7 (3.0, 4.5) 19 (8, 39) 20 stable stable trend -0.7 (-1.6, 0.2)
Riverside County *** 3.6 (3.2, 3.9) 20 (12, 31) 96 stable stable trend 0.1 (-0.5, 0.7)
Ventura County *** 3.5 (3.0, 4.1) 21 (10, 36) 35 stable stable trend -0.3 (-0.9, 0.4)
San Joaquin County *** 3.5 (2.9, 4.1) 22 (10, 40) 27 stable stable trend -0.4 (-0.9, 0.3)
Yolo County *** 3.4 (2.4, 4.7) 23 (6, 44) 7 stable stable trend -0.8 (-2.3, 0.7)
San Bernardino County *** 3.3 (3.0, 3.7) 24 (13, 36) 69 falling falling trend -1.9 (-2.9, -0.9)
Sacramento County *** 3.3 (2.9, 3.7) 25 (13, 37) 56 falling falling trend -0.9 (-1.6, -0.3)
Santa Cruz County *** 3.3 (2.5, 4.4) 26 (8, 44) 11 stable stable trend -0.8 (-1.9, 0.2)
San Diego County *** 3.3 (3.0, 3.6) 27 (16, 35) 120 falling falling trend -1.4 (-1.9, -0.8)
Kern County *** 3.2 (2.7, 3.8) 28 (12, 42) 26 stable stable trend -0.5 (-1.4, 0.4)
San Mateo County *** 3.2 (2.7, 3.7) 29 (13, 41) 32 rising rising trend 4.0 (1.0, 7.1)
Contra Costa County *** 3.1 (2.7, 3.6) 30 (15, 41) 44 falling falling trend -1.8 (-2.4, -1.1)
Napa County *** 3.1 (2.1, 4.5) 31 (7, 44) 6 falling falling trend -2.2 (-3.9, -0.4)
Kings County *** 3.1 (1.9, 4.8) 32 (5, 44) 4
*
*
San Luis Obispo County *** 3.1 (2.4, 4.0) 33 (11, 44) 13 stable stable trend -0.2 (-1.7, 1.3)
Marin County *** 2.9 (2.2, 3.8) 34 (12, 44) 12 falling falling trend -1.8 (-2.9, -0.6)
Orange County *** 2.9 (2.6, 3.1) 35 (26, 41) 106 falling falling trend -1.7 (-2.4, -1.0)
Santa Barbara County *** 2.9 (2.2, 3.6) 36 (15, 44) 15 stable stable trend -0.5 (-1.6, 0.6)
San Francisco County *** 2.8 (2.4, 3.3) 37 (20, 44) 30 falling falling trend -1.9 (-2.6, -1.1)
Fresno County *** 2.7 (2.2, 3.2) 38 (22, 44) 26 stable stable trend -0.6 (-1.7, 0.4)
Santa Clara County *** 2.7 (2.4, 3.0) 39 (27, 44) 55 falling falling trend -1.1 (-1.7, -0.4)
Imperial County *** 2.5 (1.6, 3.9) 40 (10, 44) 4 stable stable trend -1.6 (-3.5, 0.3)
Alameda County *** 2.5 (2.2, 2.9) 41 (29, 44) 45 falling falling trend -2.0 (-2.7, -1.3)
Los Angeles County *** 2.4 (2.2, 2.5) 42 (37, 44) 258 falling falling trend -2.1 (-2.3, -1.9)
Merced County *** 2.4 (1.6, 3.4) 43 (16, 44) 6 falling falling trend -2.1 (-3.7, -0.3)
Mendocino County *** 2.3 (1.3, 3.9) 44 (12, 44) 3
*
*
Alpine County ***
*
*
3 or fewer
*
*
Calaveras County ***
*
*
3 or fewer
*
*
Colusa County ***
*
*
3 or fewer
*
*
Del Norte County ***
*
*
3 or fewer
*
*
Glenn County ***
*
*
3 or fewer
*
*
Inyo County ***
*
*
3 or fewer
*
*
Lassen County ***
*
*
3 or fewer
*
*
Mariposa County ***
*
*
3 or fewer
*
*
Modoc County ***
*
*
3 or fewer
*
*
Mono County ***
*
*
3 or fewer
*
*
Plumas County ***
*
*
3 or fewer
*
*
San Benito County ***
*
*
3 or fewer
*
*
Sierra County ***
*
*
3 or fewer
*
*
Trinity County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/01/2022 11:10 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Alpine, Calaveras, Colusa, Del Norte, Glenn, Inyo, Lassen, Mariposa, Modoc, Mono, Plumas, San Benito, Sierra, Trinity

† 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 1969-2018 US Population Data File is used with mortality data.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

* 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).


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.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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