Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Washington by County

All Cancer Sites, 2016-2020

American Indian/Alaska Native Non-Hispanic, Both Sexes, All Ages

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of 122.7?
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
Washington No 150.3 (139.2, 162.1) N/A 156 falling falling trend -1.0 (-1.4, -0.6)
United States No 128.2 (126.2, 130.2) N/A 3,297 falling falling trend -1.9 (-2.3, -1.4)
Clallam County No 164.4 (111.5, 234.0) 7 (1, 15) 7 stable stable trend 0.4 (-1.8, 2.5)
Clark County No 126.6 (78.2, 192.8) 15 (4, 15) 5
*
*
Grays Harbor County No 195.0 (135.6, 272.3) 5 (1, 14) 8 stable stable trend 0.0 (-2.4, 2.4)
King County No 137.7 (111.3, 168.3) 14 (6, 15) 22 falling falling trend -1.3 (-2.3, -0.2)
Kitsap County No 140.3 (84.4, 216.4) 13 (2, 15) 5
*
*
Mason County No 201.1 (122.9, 309.2) 4 (1, 15) 5
*
*
Okanogan County No 209.1 (152.9, 279.0) 2 (1, 12) 10 stable stable trend 1.6 (-0.1, 3.4)
Pierce County No 161.5 (122.0, 208.6) 9 (2, 15) 15 stable stable trend 0.0 (-1.6, 1.7)
Skagit County No 210.1 (130.0, 319.4) 1 (1, 15) 5
*
*
Snohomish County No 202.9 (155.6, 258.8) 3 (1, 11) 16 stable stable trend 0.4 (-1.4, 2.3)
Spokane County No 152.6 (110.6, 204.5) 10 (2, 15) 10
*
*
Stevens County No 173.1 (110.1, 259.7) 6 (1, 15) 5
*
*
Thurston County No 144.6 (91.9, 215.1) 12 (2, 15) 6 stable stable trend -1.4 (-3.4, 0.6)
Whatcom County No 148.1 (102.8, 205.9) 11 (2, 15) 8 stable stable trend -0.6 (-2.6, 1.5)
Yakima County No 164.3 (125.4, 210.9) 8 (2, 15) 13 stable stable trend -0.7 (-2.2, 0.8)
Adams County ***
*
*
3 or fewer
*
*
Asotin County ***
*
*
3 or fewer
*
*
Benton County ***
*
*
3 or fewer
*
*
Chelan County ***
*
*
3 or fewer
*
*
Columbia County ***
*
*
3 or fewer
*
*
Cowlitz County ***
*
*
3 or fewer
*
*
Douglas County ***
*
*
3 or fewer
*
*
Ferry County ***
*
*
3 or fewer
*
*
Franklin County ***
*
*
3 or fewer
*
*
Garfield County ***
*
*
3 or fewer
*
*
Grant County ***
*
*
3 or fewer
*
*
Island County ***
*
*
3 or fewer
*
*
Jefferson County ***
*
*
3 or fewer
*
*
Kittitas County ***
*
*
3 or fewer
*
*
Klickitat County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Lincoln County ***
*
*
3 or fewer
*
*
Pacific County ***
*
*
3 or fewer
*
*
Pend Oreille County ***
*
*
3 or fewer
*
*
San Juan County ***
*
*
3 or fewer
*
*
Skamania County ***
*
*
3 or fewer
*
*
Wahkiakum County ***
*
*
3 or fewer
*
*
Walla Walla County ***
*
*
3 or fewer
*
*
Whitman County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/14/2024 3:04 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

* 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.

Return to Top