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Death Rates Table

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Death Rate Report for Wyoming by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 65+

Sorted by Recentaapc
County
 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 ascending
Wyoming No 802.5 (776.1, 829.7) N/A 718 falling falling trend -1.7 (-2.0, -1.5)
United States No 855.4 (854.2, 856.5) N/A 431,628 falling falling trend -2.0 (-2.2, -1.7)
Goshen County No 953.1 (800.3, 1,126.5) 3 (1, 16) 28 stable stable trend -0.3 (-1.1, 0.4)
Big Horn County No 884.4 (722.2, 1,072.1) 6 (1, 19) 21 stable stable trend -0.6 (-1.5, 0.3)
Sweetwater County No 903.3 (781.0, 1,039.1) 5 (1, 16) 42 stable stable trend -0.6 (-1.4, 0.2)
Crook County No 939.7 (724.9, 1,197.8) 4 (1, 20) 13 stable stable trend -0.7 (-1.9, 0.6)
Hot Springs County No 975.2 (737.7, 1,264.6) 2 (1, 20) 11 stable stable trend -0.7 (-1.7, 0.3)
Campbell County No 991.5 (851.0, 1,148.3) 1 (1, 13) 39 stable stable trend -0.9 (-2.1, 0.3)
Lincoln County No 660.7 (532.6, 809.9) 20 (8, 23) 19 stable stable trend -0.9 (-2.1, 0.3)
Fremont County No 848.5 (752.6, 953.1) 10 (2, 17) 58 falling falling trend -1.0 (-1.8, -0.3)
Platte County No 862.7 (693.9, 1,059.8) 8 (1, 20) 18 falling falling trend -1.0 (-1.9, -0.1)
Washakie County No 798.6 (620.5, 1,011.9) 14 (1, 22) 14 stable stable trend -1.2 (-2.4, 0.1)
Weston County No 863.5 (655.6, 1,116.3) 7 (1, 22) 12 falling falling trend -1.2 (-2.3, -0.1)
Natrona County No 823.6 (750.2, 902.2) 12 (4, 17) 96 falling falling trend -1.3 (-1.7, -0.9)
Sheridan County No 847.9 (745.4, 960.7) 11 (2, 18) 51 falling falling trend -1.3 (-1.9, -0.7)
Laramie County No 852.8 (787.2, 922.4) 9 (3, 16) 129 falling falling trend -1.4 (-1.9, -0.9)
Johnson County No 800.0 (633.0, 997.2) 13 (1, 22) 16 falling falling trend -1.6 (-2.7, -0.5)
Uinta County No 704.8 (563.9, 870.5) 18 (4, 22) 19 falling falling trend -1.8 (-2.7, -1.0)
Carbon County No 719.1 (572.5, 891.8) 17 (4, 22) 17 falling falling trend -2.1 (-3.1, -1.1)
Converse County No 722.3 (568.8, 904.3) 16 (3, 22) 16 falling falling trend -2.2 (-3.4, -0.9)
Teton County No 568.3 (450.4, 706.9) 22 (15, 23) 17 falling falling trend -2.5 (-3.6, -1.4)
Park County No 691.3 (602.9, 789.0) 19 (10, 22) 45 falling falling trend -3.3 (-4.4, -2.3)
Albany County No 634.3 (526.8, 757.0) 21 (12, 23) 26 falling falling trend -3.6 (-4.9, -2.3)
Niobrara County No 726.5 (434.3, 1,140.0) 15 (1, 23) 4 falling falling trend -3.7 (-5.9, -1.5)
Sublette County No 451.6 (318.4, 621.5) 23 (19, 23) 8 falling falling trend -4.1 (-5.4, -2.7)
Notes:
Created by statecancerprofiles.cancer.gov on 06/20/2024 12:50 am.

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.


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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