Return to Home Mortality > Table > Data Table

Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2015-2019

Washington Counties versus United States

All Cancer Sites

All Races, Female

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 - 283,394 131.1 (130.9, 131.3) - -1.9 (-2.1, -1.6)
Washington - falling falling trend - 6,056 130.9 (129.4, 132.4) - -1.7 (-1.8, -1.6)
King County 9 falling falling trend lower 1,443 114.9 (112.2, 117.6) 0.9 -2.7 (-3.1, -2.2)
Pierce County 8 falling falling trend similar 702 137.1 (132.6, 141.9) 1.0 -1.7 (-2.0, -1.3)
Snohomish County 8 falling falling trend similar 633 139.1 (134.2, 144.2) 1.1 -1.1 (-1.3, -0.8)
Spokane County 8 falling falling trend similar 480 143.3 (137.5, 149.3) 1.1 -0.8 (-1.0, -0.6)
Clark County 8 falling falling trend similar 401 139.0 (132.9, 145.4) 1.1 -1.1 (-1.4, -0.8)
Thurston County 8 falling falling trend similar 261 136.5 (128.9, 144.3) 1.0 -1.0 (-1.3, -0.7)
Kitsap County 8 falling falling trend similar 230 127.6 (120.1, 135.6) 1.0 -1.4 (-1.7, -1.1)
Yakima County 8 falling falling trend similar 201 143.3 (134.4, 152.6) 1.1 -0.6 (-0.8, -0.3)
Whatcom County 8 falling falling trend similar 189 129.1 (120.7, 137.9) 1.0 -1.2 (-1.7, -0.8)
Benton County 8 falling falling trend similar 149 125.3 (116.3, 134.8) 1.0 -2.8 (-4.0, -1.6)
Skagit County 8 falling falling trend similar 126 129.4 (119.1, 140.6) 1.0 -1.1 (-1.6, -0.7)
Cowlitz County 5 falling falling trend higher 124 159.6 (146.9, 173.2) 1.2 -0.7 (-1.1, -0.2)
Clallam County 8 falling falling trend similar 110 141.4 (128.6, 155.4) 1.1 -1.0 (-1.5, -0.5)
Grays Harbor County 5 falling falling trend higher 98 170.2 (154.8, 186.9) 1.3 -0.7 (-1.1, -0.3)
Island County 2 rising rising trend similar 95 136.8 (123.9, 150.9) 1.0 3.8 (0.6, 7.0)
Lewis County 5 falling falling trend higher 95 152.9 (139.1, 168.0) 1.2 -0.7 (-1.2, -0.1)
Mason County 8 falling falling trend similar 74 138.7 (124.4, 154.6) 1.1 -1.6 (-2.1, -1.0)
Grant County 8 falling falling trend similar 73 143.5 (128.9, 159.3) 1.1 -0.7 (-1.4, -0.1)
Chelan County 8 falling falling trend similar 72 128.8 (115.3, 143.6) 1.0 -1.2 (-1.6, -0.8)
Walla Walla County 6 stable stable trend similar 55 127.1 (111.7, 144.2) 1.0 -0.5 (-1.2, 0.2)
Okanogan County 6 stable stable trend similar 47 150.1 (130.6, 172.1) 1.1 -0.3 (-0.9, 0.2)
Jefferson County 8 falling falling trend similar 47 134.2 (114.7, 157.4) 1.0 -1.4 (-2.1, -0.7)
Stevens County 8 falling falling trend similar 46 127.1 (110.5, 146.0) 1.0 -1.4 (-2.0, -0.7)
Franklin County 8 falling falling trend similar 42 120.1 (104.1, 137.8) 0.9 -1.3 (-2.1, -0.5)
Kittitas County 8 falling falling trend similar 36 126.6 (108.3, 147.3) 1.0 -1.2 (-1.9, -0.4)
Douglas County 8 falling falling trend similar 32 116.7 (98.8, 137.1) 0.9 -1.1 (-1.9, -0.4)
Pacific County 8 falling falling trend similar 31 139.8 (117.1, 167.2) 1.1 -1.1 (-2.1, -0.1)
Asotin County 6 stable stable trend similar 26 129.0 (106.8, 155.4) 1.0 -0.7 (-1.8, 0.5)
Klickitat County 8 falling falling trend similar 25 142.8 (117.1, 173.3) 1.1 -1.1 (-1.9, -0.2)
Whitman County 9 falling falling trend lower 20 93.7 (75.9, 114.5) 0.7 -1.3 (-2.4, -0.2)
San Juan County 6 stable stable trend similar 19 116.2 (91.3, 148.1) 0.9 -1.1 (-2.3, 0.2)
Pend Oreille County 8 falling falling trend similar 17 148.1 (116.3, 187.8) 1.1 -1.7 (-2.7, -0.7)
Lincoln County 8 falling falling trend similar 12 124.3 (92.2, 166.6) 0.9 -1.2 (-2.3, -0.2)
Ferry County 6 stable stable trend similar 11 183.1 (133.5, 248.4) 1.4 -0.1 (-2.4, 2.3)
Skamania County 8 falling falling trend similar 9 104.4 (74.6, 143.9) 0.8 -8.4 (-14.3, -2.1)
Adams County 9 falling falling trend lower 8 97.7 (70.0, 132.6) 0.7 -2.2 (-3.3, -1.1)
Columbia County 6 stable stable trend similar 7 155.4 (106.5, 229.2) 1.2 -0.8 (-2.1, 0.6)
Wahkiakum County 6 stable stable trend similar 4 96.7 (56.9, 165.6) 0.7 -1.7 (-3.8, 0.4)
Garfield County
**
** similar 4 163.2 (96.9, 276.3) 1.2
**
Notes:
Created by statecancerprofiles.cancer.gov on 10/22/2021 12:22 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 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 1969-2018 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).
Trend for the following could not be reliably determined due to small number of deaths per year:
Garfield 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.

Return to Top