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Death Rates Table

Data Options

Death Rate Report for by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by CI*Rank
Borough Or Census Area
 sort alphabetically by name ascending
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
Alaska No 496.0 (480.8, 511.4) 33 (21, 41) 928 falling falling trend -2.6 (-3.7, -1.5)
United States No 501.7 (501.1, 502.3) N/A 569,776 falling falling trend -2.1 (-2.3, -1.8)
Nome Census Area No 793.5 (589.0, 1,042.0) 1 (1, 11) 13 stable stable trend 0.5 (-1.0, 1.9)
North Slope Borough No 772.5 (556.1, 1,039.6) 2 (1, 15) 11 stable stable trend -0.7 (-2.4, 0.9)
Dillingham Census Area 3 No 715.0 (495.1, 997.0) 3 (1, 18) 8 stable stable trend 0.0 (-2.0, 2.1)
Yukon-Koyukuk Census Area No 714.4 (539.3, 928.5) 4 (1, 14) 13 stable stable trend 0.1 (-1.4, 1.7)
Bethel Census Area No 653.4 (507.9, 825.0) 5 (1, 16) 19 stable stable trend -0.8 (-1.8, 0.4)
Wade Hampton Census Area No 588.8 (392.4, 846.4) 6 (1, 21) 7 stable stable trend -1.5 (-3.2, 0.3)
Prince of Wales-Outer Ketchikan Census Area No 573.5 (428.3, 751.8) 7 (2, 20) 12 stable stable trend -1.1 (-3.0, 0.7)
Southeast Fairbanks Census Area No 529.7 (387.4, 705.4) 8 (2, 21) 11 stable stable trend -1.2 (-2.7, 0.3)
Northwest Arctic Borough No 529.6 (366.8, 737.9) 9 (2, 21) 7 stable stable trend -1.6 (-3.1, 0.0)
Matanuska-Susitna Borough No 527.9 (486.0, 572.2) 10 (5, 16) 140 falling falling trend -1.2 (-1.9, -0.6)
Kenai Peninsula Borough No 515.7 (470.1, 564.3) 11 (6, 17) 106 falling falling trend -1.8 (-2.4, -1.3)
Ketchikan Gateway Borough No 499.0 (407.5, 604.5) 12 (5, 21) 22 falling falling trend -1.8 (-2.9, -0.8)
Wrangell-Petersburg Census Area No 498.7 (377.0, 646.9) 13 (3, 21) 12 stable stable trend -0.7 (-1.9, 0.5)
Anchorage Municipality No 495.7 (471.5, 520.7) 14 (8, 17) 352 falling falling trend -1.4 (-1.7, -1.0)
Valdez-Cordova Census Area No 475.4 (352.8, 624.9) 15 (4, 21) 13 falling falling trend -2.2 (-3.5, -1.0)
Juneau City and Borough No 450.6 (386.4, 522.2) 16 (8, 21) 41 falling falling trend -1.5 (-2.3, -0.7)
Fairbanks North Borough No 437.3 (395.8, 481.9) 17 (12, 21) 96 falling falling trend -1.7 (-2.3, -1.1)
Skagway-Hoonah-Angoon Census Area 3 No 426.1 (284.6, 614.9) 18 (4, 21) 6
*
*
Kodiak Island Borough No 419.2 (316.6, 543.6) 19 (7, 21) 13 falling falling trend -2.7 (-4.0, -1.3)
Aleutians West Census Area 3 No 413.2 (179.3, 790.7) 20 (1, 21) 4
*
*
Sitka City and Borough No 404.7 (305.4, 525.9) 21 (8, 21) 12 falling falling trend -1.8 (-2.9, -0.6)
Aleutians East Borough 3 ***
*
*
3 or fewer
*
*
Bristol Bay Borough ***
*
*
3 or fewer
*
*
Denali Borough ***
*
*
3 or fewer
*
*
Haines Borough ***
*
*
3 or fewer
*
*
Lake and Peninsula Borough 3 ***
*
*
3 or fewer
*
*
Yakutat City and Borough 3 ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2022 2:10 pm.

Alaska Census Area Name Change: please note that Wade Hampton Census Area, AK (FIPS code=02270) was renamed effective July 1, 2015, and the new name is Kusilvak Census Area (FIPS Code=02158). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with a future data release.

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.

3 Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

* 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.

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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