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Death Rates Table

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Death Rate Report for California by County

Bladder, 2018-2022

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

Sorted by Rate
County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 N/A *** 3.7 (3.6, 3.8) N/A 1,662 falling falling trend -1.7 (-4.1, -0.5)
United States N/A *** 4.1 (4.1, 4.1) N/A 16,859 falling falling trend -1.0 (-1.5, -0.7)
Amador County Rural *** 7.8 (5.2, 11.6) 1 (1, 25) 6
*
*
Calaveras County Rural *** 5.6 (3.5, 8.8) 2 (1, 43) 5
*
*
Humboldt County Rural *** 5.5 (4.0, 7.4) 3 (1, 35) 9 stable stable trend -0.1 (-1.4, 1.6)
Siskiyou County Rural *** 5.5 (3.3, 8.8) 4 (1, 44) 4
*
*
Napa County Urban *** 5.2 (3.9, 6.8) 5 (1, 34) 11 stable stable trend -0.1 (-1.7, 2.0)
Butte County Urban *** 4.9 (3.8, 6.3) 6 (1, 35) 14 stable stable trend -0.1 (-1.2, 1.0)
El Dorado County Urban *** 4.9 (3.8, 6.2) 7 (1, 35) 14 stable stable trend 1.0 (-0.3, 2.9)
Merced County Urban *** 4.8 (3.6, 6.2) 8 (1, 38) 11 stable stable trend 0.1 (-1.1, 1.5)
Tuolumne County Rural *** 4.8 (2.9, 7.7) 9 (1, 44) 4
*
*
San Luis Obispo County Urban *** 4.7 (3.8, 5.8) 10 (2, 34) 20 stable stable trend 0.4 (-0.7, 1.7)
Lake County Rural *** 4.6 (2.9, 7.0) 11 (1, 44) 5 stable stable trend 0.1 (-1.1, 1.4)
Tulare County Urban *** 4.4 (3.5, 5.4) 12 (2, 37) 18 stable stable trend 0.8 (-0.7, 2.7)
Nevada County Rural *** 4.4 (3.1, 6.1) 13 (1, 43) 9 stable stable trend -1.1 (-2.8, 1.0)
San Joaquin County Urban *** 4.3 (3.7, 5.1) 14 (4, 34) 33 stable stable trend 0.6 (-0.3, 1.6)
Tehama County Rural *** 4.3 (2.7, 6.8) 15 (1, 44) 4
*
*
Riverside County Urban *** 4.3 (3.9, 4.7) 16 (6, 28) 117 stable stable trend 0.1 (-0.4, 0.7)
Solano County Urban *** 4.3 (3.5, 5.2) 17 (3, 37) 22 stable stable trend -0.1 (-1.3, 1.5)
Stanislaus County Urban *** 4.2 (3.5, 5.1) 18 (4, 37) 23 stable stable trend -0.2 (-1.2, 1.0)
San Bernardino County Urban *** 4.2 (3.8, 4.6) 19 (7, 31) 81 falling falling trend -2.2 (-9.7, -0.4)
Kern County Urban *** 4.1 (3.5, 4.9) 20 (5, 36) 31 stable stable trend 0.2 (-0.7, 1.4)
Sonoma County Urban *** 4.1 (3.5, 4.8) 21 (5, 37) 30 stable stable trend -0.6 (-1.5, 0.4)
San Diego County Urban *** 4.1 (3.8, 4.4) 22 (10, 30) 150 stable stable trend -0.2 (-0.6, 0.2)
Ventura County Urban *** 4.0 (3.5, 4.6) 23 (7, 36) 42 stable stable trend -0.2 (-0.8, 0.6)
Sacramento County Urban *** 4.0 (3.6, 4.5) 24 (9, 34) 69 stable stable trend -0.6 (-1.1, 0.0)
Placer County Urban *** 3.9 (3.2, 4.7) 25 (6, 40) 24 stable stable trend -1.3 (-2.3, 0.1)
Sutter County Urban *** 3.9 (2.5, 5.9) 26 (2, 44) 5
*
*
Kings County Urban *** 3.8 (2.4, 5.7) 27 (2, 44) 5
*
*
Yolo County Urban *** 3.8 (2.7, 5.2) 28 (3, 44) 8
*
*
Orange County Urban *** 3.7 (3.4, 4.0) 29 (17, 36) 141 falling falling trend -1.3 (-4.4, -0.6)
Shasta County Urban *** 3.6 (2.7, 4.9) 30 (5, 44) 10 stable stable trend -0.8 (-2.0, 0.6)
Fresno County Urban *** 3.6 (3.0, 4.1) 31 (12, 42) 34 stable stable trend 0.1 (-0.9, 1.2)
Contra Costa County Urban *** 3.5 (3.1, 4.0) 32 (15, 40) 50 stable stable trend -0.3 (-1.0, 0.5)
Mendocino County Rural *** 3.5 (2.3, 5.4) 33 (3, 44) 5 stable stable trend -1.5 (-3.5, 0.8)
Marin County Urban *** 3.4 (2.7, 4.3) 34 (10, 44) 16 stable stable trend -1.1 (-2.1, 0.0)
Los Angeles County Urban *** 3.4 (3.3, 3.6) 35 (26, 38) 377 falling falling trend -0.7 (-0.9, -0.4)
Santa Cruz County Urban *** 3.3 (2.5, 4.4) 36 (9, 44) 11 stable stable trend -1.4 (-3.0, 0.3)
Madera County Urban *** 3.1 (2.0, 4.6) 37 (6, 44) 5 falling falling trend -2.0 (-3.5, -0.4)
Alameda County Urban *** 3.1 (2.7, 3.5) 38 (28, 43) 56 falling falling trend -1.1 (-1.5, -0.6)
Imperial County Urban *** 3.0 (2.0, 4.4) 39 (8, 44) 5
*
*
Santa Clara County Urban *** 3.0 (2.6, 3.3) 40 (30, 44) 64 falling falling trend -0.7 (-1.3, -0.1)
San Mateo County Urban *** 2.9 (2.5, 3.5) 41 (27, 44) 31 falling falling trend -1.1 (-1.9, -0.3)
San Francisco County Urban *** 2.7 (2.3, 3.2) 42 (31, 44) 32 falling falling trend -1.1 (-1.9, -0.2)
Monterey County Urban *** 2.7 (2.0, 3.4) 43 (27, 44) 13 stable stable trend -1.1 (-2.1, 0.1)
Santa Barbara County Urban *** 2.7 (2.1, 3.3) 44 (29, 44) 15 stable stable trend -0.8 (-2.2, 0.7)
Alpine County Rural ***
*
*
3 or fewer
*
*
Colusa County Rural ***
*
*
3 or fewer
*
*
Del Norte County Rural ***
*
*
3 or fewer
*
*
Glenn County Rural ***
*
*
3 or fewer
*
*
Inyo County Rural ***
*
*
3 or fewer
*
*
Lassen County Rural ***
*
*
3 or fewer
*
*
Mariposa County Rural ***
*
*
3 or fewer
*
*
Modoc County Rural ***
*
*
3 or fewer
*
*
Mono County Rural ***
*
*
3 or fewer
*
*
Plumas County Rural ***
*
*
3 or fewer
*
*
San Benito County Urban ***
*
*
3 or fewer
*
*
Sierra County Rural ***
*
*
3 or fewer
*
*
Trinity County Rural ***
*
*
3 or fewer
*
*
Yuba County Urban ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/13/2024 12:32 pm.

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

† 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 2030 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ 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.


Φ Rural-Urban Continuum Codes provided by the USDA.

* 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).

Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

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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